Session: b04adfb7-3a84-49b6-9eb3-753048416baa

CWD: /var/lib/metahuman-ocr-worker/work/job-130/worktree Branch: HEAD Mode: range From: origin/new_staging2 To: origin/bugfix/pa-adriana-analise-individual Model: deepseek-v4-flash Duration: 15m48s Files: 10 Status: complete

Coverage

10
Selected
10
Completed
0
Reused
0
Failed
0
Waived

Token Usage

4.85M
Prompt Tokens
162.99K
Completion Tokens
5.01M
Total Tokens
96
LLM Requests
4.49M
Cache Read
0
Cache Write
File breakdown 3 files
FilePromptCompletionCache ReadCache WriteTotal
public/js/people-analytics/modules/adriana-chart-analysis.js… 3.84M 98.49K 3.55M0 3.94M
public/js/people-analytics/modules/produtividade-dashboard.j… 1M 48.13K 932.61K0 1.05M
File Grouping 471 16.37K 2560 16.84K

Review Comments (8 findings)

Severity:
Category:
public/js/people-analytics/modules/produtividade-dashboard.js 2 comments
bug low L1198-L1199
Se o módulo compartilhado de análise não estiver disponível no momento do bind (falha ao baixar o script, deploy parcial ou uma página futura que reutilize este JS sem incluir o arquivo novo), os botões de 'Gerar Análise' ficam sem listener e sem nenhum log — perda de funcionalidade silenciosa. Hoje o único consumidor inclui o script na ordem certa, então o risco é baixo, mas qualquer falha de carregamento deixa a tela quebrada sem diagnóstico. Adicione um `console.warn` no `else` desse `if` (ou um fallback) para que a ausência do módulo seja detectável.
Existing Code
    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
maintainability low L1206
Após a remoção do fluxo de análise embutido, duas funções ficaram sem nenhuma chamada no arquivo: `escapeHtml` (linha ~163) e `notify` (linha ~1294) agora têm apenas a definição. Num arquivo com mais de 1300 linhas isso vira ruído de leitura e dá a falsa impressão de que o caminho antigo ainda é usado. Remova as duas funções órfãs.
Existing Code
        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.',
src/Controller/PeopleAnalyticsApiController.php 1 comments
bug medium L115-L120
A regra que remove o período aqui difere das outras duas camadas que tratam o mesmo caso (template e `ChartResolver`): neste ponto qualquer payload sem a chave `periodo` tem `start_date`/`end_date` descartados, mesmo quando o cliente enviou datas explícitas. Se o recorte do gráfico for passado como datas (sem `periodo`), a análise da IA passa a considerar um período diferente do exibido no gráfico (sem filtro ou com a janela padrão), gerando insumo errado para a resposta. Além disso, manter a mesma decisão em três lugares com condições diferentes é frágil para manutenção futura. Alinhe a condição com a do `ChartResolver` (remover somente quando `periodo`, `start_date` e `end_date` estiverem todos ausentes) ou centralize a regra em um único ponto (ex.: no normalizador) para as camadas não divergirem.
Existing Code
            if (
                $module === 'analise_de_membro'
                && !isset($rawFilters['periodo'])
            ) {
                unset($filters['start_date'], $filters['end_date']);
            }
src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php 1 comments
other low L91-L93
Este desvio de "dados insuficientes" dispara para qualquer gráfico de qualquer módulo (produtividade, saúde organizacional etc.), não só da análise de membro — mas o texto retornado é específico de colaborador ("Verifique se o colaborador possui dados no período selecionado"), o que fica fora de contexto em dashboards de empresa. Além disso, a mudança de comportamento para gráficos vazios legítimos de outros módulos (antes iam à IA, agora retornam resposta pronta) acontece nesta PR que é escopada à análise individual. Confirme que esse efeito global é desejado e generalize as mensagens para não citarem "colaborador" fora do módulo de membro.
Existing Code
            if ($this->hasInsufficientData($qualityFlags, $derivedMetrics)) {
                return $this->insufficientDataResponse($module, $chartId, $resolved, $aiPayload);
            }
src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php 1 comments
bug low L99-L101
Quando chegam vários IDs de membro numa mesma requisição (por exemplo, uma seleção `membro`/`member_ids` herdada de filtro de equipe), o primeiro ID é escolhido silenciosamente e a análise individual prossegue sem nenhum erro, podendo descrever um colaborador diferente do que a tela mostrava ou ignorar o restante da seleção. Como a análise individual exige exatamente um colaborador, o ideal é exigir/validar isso na entrada: devolver erro de validação (400) quando a lista tiver mais de um ID ou nenhum válido, em vez de assumir `reset()` do primeiro.
Existing Code
        if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) {
            $normalized['member_id'] = (int) reset($normalized['member_ids']);
        }
src/Service/PeopleAnalytics/MemberAnalysisService.php 3 comments
security high L51-L54
O identificador do colaborador agora é aceito de várias chaves enviadas pelo cliente (`membro`, `member_ids`, `memberId`, `company_member_id`, `selected_member_id`) e usado para restringir as consultas a um único membro — porém este fluxo de IA (controller `chartAiAnalysis` + `ChartResolver`) não aplica `PeopleAnalyticsPermissionService::applyPermissionFilters()` nem `canViewMember()`, ao contrário dos endpoints de dados de gráfico (`MemberAnalysisController`), que forçam escopo self/team/company no servidor. Na prática, um usuário com escopo restrito (somente o próprio dado ou a própria equipe) consegue chamar o endpoint de análise com o ID de outro colaborador da mesma empresa e receber (e enviar à IA externa/DeepSeek) os dados individuais desse colaborador, já que as queries passam a filtrar por esse `member_id` sem revalidar o vínculo com o usuário logado. Vale validar o escopo no servidor (ex.: `canViewMember()` no controller ou no service antes de buscar os dados) e cobrir com teste de autorização os cenários self/team fora do escopo.
Existing Code
        $memberId = $filters['member_id'] ?? $filters['membro'] ?? null;
        if (!$memberId && !empty($filters['member_ids'])) {
            $memberId = reset($filters['member_ids']);
        }
maintainability low L73
O catálogo de gráficos do módulo agora existe em dois pontos separados (o `match` de dispatch em `getChartData` e o `match` de `chartMetadata`); quando um gráfico novo for adicionado em apenas um deles, o outro devolve título/tipo genéricos sem gerar erro, produzindo contrato inconsistente. O `array_merge` também permite que o próprio retorno do gráfico sobrescreva `title`/`type` injetados dependendo das chaves presentes nos dados. Vale extrair uma única fonte de metadados (constante/mapa) usada pelos dois pontos e adicionar um teste garantindo que todo `chartId` do dispatch exista no mapa de metadados.
Existing Code
        return array_merge($this->chartMetadata($chartId), $chartData);
bug high L60
Ao forçar o filtro de um único colaborador em todos os gráficos do módulo, os três gráficos comparativos (boxplot da equipe com membro destacado, ranking de produtividade e scatter membro × time) passam a rodar com a consulta restrita a um único `cm.id`. Esses gráficos foram feitos para agregar o time/empresa e marcar o colaborador com highlight (os próprios métodos recebem `$memberId` só para isso), então o boxplot vira um ponto só, o ranking lista apenas o membro e o scatter perde a comparação — a IA e a tela passam a receber um contexto falso de posicionamento sem base comparativa. Recomendo aplicar o filtro `membro` apenas nos gráficos de série individual (linha de desempenho, carga vs produtividade, tempo por atividade e entregas) e manter os comparativos com todos os membros, usando `$memberId` apenas para o destaque.
Existing Code
        $filters['membro'] = [(int) $memberId];
Files Reviewed 10 files
  • public/js/people-analytics/modules/adriana-chart-analysis.js
  • src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php
  • src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php
  • templates/people_analytics/produtividade_dashboard.html.twig
  • public/js/people-analytics/modules/produtividade-dashboard.js
  • src/Controller/PeopleAnalyticsApiController.php
  • src/Service/PeopleAnalytics/MemberAnalysisService.php
  • src/Service/PeopleAnalytics/Chart/ChartResolver.php
  • templates/people_analytics/chart_detail.html.twig
  • src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php
Session Tasks 1 tasks
File Grouping 1 requests

grouping_task

Request #1 deepseek-v4-flash P:471 C:16.37K CR:256 CW:0 133751ms
Reasoning
We need answer JSON array grouping. Need inspect paths. We have files likely related People Analytics modules. Need semantic clusters. Let's analyze. Files: - public/js/people-analytics/modules/adriana-chart-analysis.js (added) - public/js/people-analytics/modules/produtividade-dashboard.js (modified) - src/Controller/PeopleAnalyticsApiController.php - src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php - src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php - src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php - src/Service/PeopleAnalytics/Chart/ChartResolver.php - src/Service/PeopleAnalytics/MemberAnalysisService.php - templates/people_analytics/chart_detail.html.twig - templates/people_analytics/produtividade_dashboard.html.twig Need group related. Note "adriana-chart-analysis.js" maybe new chart analysis UI module. Produtividade dashboard files relate to productivity dashboard. Chart services relate to chart AI analysis and derived metrics etc. Controller likely API endpoint. Twig templates. Let's consider possible groupings. There are 10 files max. Could be 3 groups: 1. Chart AI analysis and related API/JS/template: includes ChartAiAnalysisService, MemberAnalysisService, PeopleAnalyticsApiController, chart_detail.html.twig, adriana-chart-analysis.js maybe all chart detail and analysis. 2. Productivity dashboard frontend/backend: produtividade-dashboard.js, produtividade_dashboard.html.twig, maybe ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver? But these chart services are generic chart detail. Need infer. Let's inspect names: Adriana chart analysis? "adriana-chart-analysis.js" likely new front-end module for chart analysis in chart detail page. "produtividade-dashboard.js" modified to integrate chart analysis? Let's not assume. Need group changed files semantically. Let's look at code patterns in Symfony: PeopleAnalyticsApiController.php (API actions). It likely uses MemberAnalysisService and Chart services. Modified only +9/-1 maybe new API endpoint. MemberAnalysisService +24/-2 likely call ChartAiAnalysisService? ChartAiAnalysisService +45/-0 is new method(s) within existing service or added. ChartDerivedMetricsCalculator +9/-3, ChartFilterNormalizer +11/-0, ChartResolver +8/-0 each modified to support new thing. templates: chart_detail and produtividade_dashboard. JS modules: adriana-chart-analysis.js and produtividade-dashboard.js. We need determine clusters from "semantic related". Could group all People Analytics changed files into one? But labels? Since maximum 10 files, all 10 could be one group but not ideal. Need semantically related clusters. They likely all part of one feature "People Analytics chart analysis improvements". But "produtividade-dashboard" maybe separate feature. We need identify likely two features: - Chart detail "AI analysis" feature: ChartAiAnalysisService, MemberAnalysisService, PeopleAnalyticsApiController, chart_detail.html.twig, adriana-chart-analysis.js, perhaps ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver because chart details aggregate. - Productivity dashboard: produtividade-dashboard.js and produtividade_dashboard.html.twig perhaps independent, plus maybe ChartDerivedMetricsCalculator? Let's inspect semantics in Portuguese: "produtividade" = productivity. Dashboard template and JS may consume backend APIs, maybe uses ChartResolver? ChartResolver resolves chart definitions from config. ChartDerivedMetricsCalculator computes derived metrics, ChartFilterNormalizer normalizes filter parameters. These likely apply to multiple chart endpoints, used in both chart_detail and dashboard. The dashboard's modifications include a line in template, maybe dashboard includes chart detail? Need know. Let's search memory? This is perhaps "Symfony app with people analytics modules, "Adriana" is an AI assistant? "adriana-chart-analysis.js" could be for "chart AI analysis" by Adriana. Maybe adds AI analysis section for all charts (the productivity dashboard too). The modified produtividade-dashboard.js +12/-81 could be adaptation to use chart analysis or changed to be generated from chart config? Need explore. We can group with code relationships: - New JS "adriana-chart-analysis.js" is likely included by templates chart_detail or produtividade_dashboard.html.twig? Could be included by both? The modification to templates likely adds a script/container. chart_detail.html.twig +14/-0 might include the script and a button. produtividade_dashboard.html.twig +1/-0 likely includes script tag? Or "chart analysis" component. Let's think from filenames: "adriana-chart-analysis.js" and "ChartAiAnalysisService.php" relate strongly: "Adriana" might be AI chart analysis service. "ChartAiAnalysisService" is backend. "adriana-chart-analysis.js" frontend. Those should be same group. "MemberAnalysisService.php" might be wrapper/support for analyzing member chart? It depends on ChartAiAnalysisService. Controller API action adds endpoint. "chart_detail.html.twig" is template for chart detail page, likely where analysis appears. So group 1: - ChartAiAnalysisService - MemberAnalysisService - PeopleAnalyticsApiController - adriana-chart-analysis.js - chart_detail.html.twig Maybe ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver are core chart querying infrastructure needed to produce chart data; changed perhaps due to API changes or support analysis. They likely share relationship with ChartAiAnalysisService (chart service domain). Should group all Chart services? Could group with group 1: src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php src/Service/PeopleAnalytics/Chart/ChartResolver.php These are under same directory "Chart", and may collectively work. But if group all chart services with controller and JS, that's 8 files. Fine. But produtividade-dashboard files: - public/js/people-analytics/modules/produtividade-dashboard.js - templates/people_analytics/produtividade_dashboard.html.twig These belong together, but are they related to others? Both modules are PeopleAnalytics JS modules; produtividade-dashboard might be a major dashboard that shares API. Could group separately. However all files in People Analytics modules? Need maximize semantic clusters. Let's inspect likely relations by source names: ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver are prefixed Chart. They likely are used by PeopleAnalyticsApiController when calling a chart. The JS file "adriana-chart-analysis.js" likely calls a controller endpoint to analyze chart data generated from chart id and filters. The "produtividade-dashboard.js" perhaps displays "produtividade" dashboard built as a chart, maybe with tabulated metrics. It may have been modified because underlying "chart detail" analysis changed, but it's specifically for productivity dashboard. The added file appears named after person/adriana? Maybe "adriana chart-analysis" is not generic; "Adriana" may refer to analytics assistant. Need check existing files? The path "people-analytics/modules/" suggests modules for chart types. "adriana-chart-analysis.js" likely encapsulates the AI insight feature. Let's reason about "ChartDerivedMetricsCalculator" modifications: - compute derived metrics from chart config. - For "productivity dashboard" perhaps metric is "produtividade", and derived metrics perhaps "tempo médio", etc. - "produtividade-dashboard.js" reduced from +? Let's decode: +12/-81 means removed 81 lines, added 12. This might be refactoring: replaced old logic with generic chart handling using adriana-chart-analysis? Could be. - Maybe old dashboard JS had its own chart rendering; new code delegates to new chart analysis module? But 81 lines deleted and 12 added likely simply changed URLs or simplified after backend change. "templates/people_analytics/produtividade_dashboard.html.twig" +1/-0 means only 1 line added, likely include a JS module script? Maybe adding <script type="module" src="{{ asset('js/people-analytics/modules/adriana-chart-analysis.js') }}"></script> to dashboard template. But +1 is not necessarily one line? Could be a script tag. "chart_detail.html.twig" +14/-0 means added 14 lines, perhaps also include adriana analysis box and script tag. Hmm. "produtividade_dashboard.js" modified significantly maybe template references, not related to chart_detail. Let's identify concrete grouping in a code review context. Usually one commit could include: - Feature A: AI chart analysis integrated into chart detail page. Files: - public/js/people-analytics/modules/adriana-chart-analysis.js - src/Controller/PeopleAnalyticsApiController.php - src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php - src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php - src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php - src/Service/PeopleAnalytics/Chart/ChartResolver.php - src/Service/PeopleAnalytics/MemberAnalysisService.php - templates/people_analytics/chart_detail.html.twig - Feature B: productivity dashboard refactor/update. Files: - public/js/people-analytics/modules/produtividade-dashboard.js - templates/people_analytics/produtividade_dashboard.html.twig Need decide if ChartDerivedMetricsCalculator/ChartFilterNormalizer/ChartResolver are in feature A or generic chart data modifications. Since ChartAiAnalysisService is in Chart service namespace, and modified these likely used for a specific chart endpoint. ChartResolver is likely used by controller. The template chart_detail.html.twig likely has a chart container and calls view; with ChartResolver resolving chart. The chart detail page uses these to render chart and "analysis"; if adding analysis to chart detail, modifying chart services to provide data / support new params. That fits group with chart detail feature. But could "produtividade_dashboard.js" also modified due to ChartDerivedMetricsCalculator? Let's inspect naming in Portuguese. "produtividade-dashboard.js" likely contains code for productivity dashboard, maybe old front-end logic included hardcoded chart ids; changes likely because of "people analytics modules" refactoring to support "chart analysis". Could also use ChartResolver to resolve charts? Let's see from path: "public/js/people-analytics/modules/produtividade-dashboard.js" likely bundled module representing dashboard page. It uses an API to fetch data for chart IDs. "produtividade_dashboard.html.twig" is template. +1 line likely includes chart analysis JS? Actually if new analysis feature integrated into all chart dashboards, productivity dashboard template gets one line to add the script. But chart_detail template gets 14 lines (analysis panel markup). Maybe produtividade dashboard is a "chart detail" view? Let's infer from names: - chart_detail.html.twig -> displays a chart detail with analysis? - produtividade_dashboard.html.twig -> displays several charts? The productivity dashboard JS module could be huge with many charts. What is "Adriana chart analysis"? Perhaps "Adriana" is the assistant; new module maybe creates an "AI explanation" bubble on hover. It may be loaded only in chart_detail template, not productivity dashboard. Let's consider actual labels should be in output. We don't need exact technical names? "People analytics chart analysis feature" vs "Productivity dashboard changes". Need ensure every file exactly once. Grouping options: Option A: two groups: 1. label "AI chart analysis for chart detail" files: public/js/people-analytics/modules/adriana-chart-analysis.js, src/Controller/PeopleAnalyticsApiController.php, src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php, src/Service/PeopleAnalytics/MemberAnalysisService.php, templates/people_analytics/chart_detail.html.twig, maybe ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver. 2. label "Productivity dashboard updates" files: public/js/people-analytics/modules/produtividade-dashboard.js, templates/people_analytics/produtividade_dashboard.html.twig. But need not include 8 files if 1 group can have max 10. Fine. This creates group 1 size 8 if include all chart services. Let's validate chart service changes are due to chart detail. Better to include them in chart analysis/domain group? The three files plus ChartAiAnalysisService are in same directory; likely tightly coupled. The "adriana-chart-analysis.js" likely belongs to frontened, but if only chart detail, okay. Could separate ChartDerivedMetricsCalculator/ChartFilterNormalizer/ChartResolver from AI-specific group and call "Chart backend service changes" but then it's less semantically distinct? They are changed files likely all to support chart analysis; but perhaps they are no standalone feature. Need group into semantically related clusters, not necessarily features. If a group only has files modified in shared service layer, that's okay? But perhaps "same directory and work together on a single concern" suggests grouping under "Chart processing backend". We could have: 1. "Chart AI analysis display and API": - public/js/people-analytics/modules/adriana-chart-analysis.js - src/Controller/PeopleAnalyticsApiController.php - src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php - src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php - src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php - src/Service/PeopleAnalytics/Chart/ChartResolver.php - src/Service/PeopleAnalytics/MemberAnalysisService.php - templates/people_analytics/chart_detail.html.twig 2. "Productivity dashboard changes": - public/js/people-analytics/modules/produtividade-dashboard.js - templates/people_analytics/produtividade_dashboard.html.twig Need maybe include all "Chart" services in group 1 but there is a group of "produtividade dashboard" files that rely on Chart services? The changed "produtividade-dashboard.js" perhaps related to ChartResolvers? Could group chart services with both dashboards? Hmm. Let's inspect from naming and code likely: - `ChartResolver` might resolve "chart definitions" from an array of Chart IDs/names to appropriate handler? In PeopleAnalytics, chart resolver likely determines fields by chart slug. `ChartDerivedMetricsCalculator` adds derived metrics like delta/percentage to chart data. `ChartFilterNormalizer` normalizes chart filters from request. They all belong to backend chart API modifications. - `PeopleAnalyticsApiController` likely endpoint `chart_data` uses `ChartFilterNormalizer`, `ChartDerivedMetricsCalculator`, `ChartResolver` to generate chart data. `MemberAnalysisService` may run analysis over member data? Let's parse names: - MemberAnalysisService: maybe in PeopleAnalytics namespace, analyzes "members" in context of chart? Could be a separate service for charts? Actually "Member" may be "team member" record. - ChartAiAnalysisService: uses LLM to generate analysis for chart. Maybe MemberAnalysisService is an abstraction providing "members" dataset? Let's find conceptual pattern: - ChartDerivedMetricsCalculator has `calculate`. - ChartFilterNormalizer: normalizes filters (e.g., date range, team, etc.) - ChartResolver: resolves chart based on alias? - MemberAnalysisService might calculate metrics for members? It might be used by productivity dashboard? Let's search memory of code structure: PeopleAnalytics feature in an app with "Member" entity, charts. `MemberAnalysisService` probably serves data for a "members analysis" table, not necessarily AI. PeopleAnalyticsApiController may have actions/methods: - `getChartData` or `apiChartData`: returns chart data. It uses `ChartResolver`, `ChartDerivedMetricsCalculator`, `ChartFilterNormalizer`. - `memberAnalysis`: uses `MemberAnalysisService`. - `chartAiAnalysis`: uses `ChartAiAnalysisService`. The modified files: - PeopleAnalyticsApiController +9/-1 - ChartAiAnalysisService +45/-0 - MemberAnalysisService +24/-2 Likely all related to "AI analysis" added at API/service level. If MemberAnalysisService +24 adds call to ChartAiAnalysisService to include AI analysis, yes. - chart_detail.html.twig +14 -> likely displays AI analysis. - adriana-chart-analysis.js added -> JS module for calling AI analysis and rendering in view. - ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver modified because AI analysis needs chart data/metrics? Or because MemberAnalysisService needs additional data? They may be along with above. - produtividade-dashboard.js +12/-81: perhaps old code contained AI analysis functions that are now extracted to adriana-chart-analysis.js and reused; deleting 81 lines from dashboard and adding 12 implies "extract common chart analysis code to new module and use it in productivity dashboard". If so produtividade dashboard is related to adriana module. Let's examine: If they extracted code from `produtividade-dashboard.js` into a new `adriana-chart-analysis.js`, the dashboard file would lose 81 lines and add 12 (import/init). `chart_detail.html.twig` +14 includes new module; `produtividade_dashboard.html.twig` +1 includes new module. That would mean three groups? Let's assess this important. Let's hypothesize: Old `produtividade-dashboard.js` had chart analysis built-in? Wait new file named "adriana-chart-analysis.js" is added, not a generic chart utility but "adriana" named. `produtividade-dashboard.js` diminished by 81 lines. Could be "produtividade dashboard" previously had everything about chart detail? Actually no. Maybe `produtividade-dashboard.js` is large module for productivity dashboard; it may contain methods to render a chart and "analysis". Modification +12/-81 removes old logic and imports from new `adriana-chart-analysis.js`. Name "adriana" maybe "Adriana charts analysis" likely generic AI analysis widget. This new module could be used by both `produtividade-dashboard.js` and `chart_detail.html.twig`. Then grouping productivity dashboard separately from adriana module maybe wrong if changed dashboard JS consumes it. Semantically, produtividade dashboard and adriana chart analysis are related (feature integration/module reuse). Need consider. Let's look at filenames: - public/js/people-analytics/modules/adriana-chart-analysis.js: ADDED - public/js/people-analytics/modules/produtividade-dashboard.js: MODIFIED - src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php: MODIFIED (+45) Maybe an existing chart analysis feature existed only for productivity dashboard via code in produtividade-dashboard.js? Now extracted into "adriana-chart-analysis.js" and backed by backend service? Let's infer from timeline: Files changed with all pluses for chart details: `src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php` already existed (modified), likely relates to AI analysis. It had existing functionality maybe now enhanced. `public/js/people-analytics/modules/adriana-chart-analysis.js` ADDED maybe new frontend module. `public/js/people-analytics/modules/produtividade-dashboard.js` MODIFIED with 81 deletions maybe because dashboard was the only place calling `ChartAiAnalysisService`? Wait `produtividade-dashboard.js` isn't backend; it may call an API endpoint. It could have contained an embedded copy of chart analysis frontend? "Produtividade" dashboard likely has charts of productivity, and new "Adriana" AI analysis can be used on any chart. So old produtividade dashboard included a bespoke chart analysis for its chart? Maybe. Cannot know. But grouping by semantic producer/consumer or shared module: - If new JS "adriana-chart-analysis.js" is an import of `produtividade-dashboard.js`, those two JS files are related and should be in same group? Actually files belong to same "module" directory and work together: new module provides chart analysis UI; modified dashboard consumes it. If an importer and imported module are changed together, semantic group may include both. The templates maybe also includes new module? Hmm. Let's analyze possible dependencies: If `adriana-chart-analysis.js` is a self-contained module, it likely exposes an `init` function to be imported by page JS modules. If `chart_detail.html.twig` includes only a script that imports this module, then it doesn't necessarily use anything from `produtividade-dashboard.js`. If `produtividade-dashboard.js` also imports it, then JS cluster is: - adriana-chart-analysis.js - produtividade-dashboard.js - templates with produtividade? Need see modification "produtividade-dashboard.js +12/-81" maybe likely removed significant old chart code and replaced with "AdrianaChartAnalysis" component. What are the plus lines? In every grouping, modules in assets may not reference each other directly due to old static JS with global namespace. Let's infer from naming conventions: "adriana-chart-analysis.js" is added with 180 lines. "produtividade-dashboard.js" loses 81 lines. If dashboard JS had 81 lines to delete and 12 to add, perhaps old dashboard used "window.peopleAnalytics.chartDetail..."? Could be translating templates and JS to a new "people analytics" architecture, reorganizing: - Existing `produtividade-dashboard.js` contained logic and data initialization for the productivity dashboard, all charts. - New `adriana-chart-analysis.js` adds chart analysis for "Adriana" on chart detail. No direct relation. Let's derive from names in Portuguese: "adriana" perhaps not AI? It could be a developer's name? Wait "Adriana" might be a person. "adriana-chart-analysis.js" maybe accidentally created by developer? But "Adriana" likely a chatbot name? Let's search internal knowledge? Maybe People Analytics module is from a Symfony app "members" and charts, with AI called "Adriana" in Brazilian product. Hmm. `ChartAiAnalysisService` includes "AI": perhaps AI analysis. New module named "adriana-chart-analysis" maybe because "Adriana" is the brand name of the AI assistant. Yes likely. Modified `produtividade-dashboard.js`: Could be adding a new `AdrianaChartAnalysis` import to each chart panel. But why remove 81 lines? Maybe old implementation had a "chart analysis" tooltip (HTML text) and is removed because replaced by the new module. Let's think about what files in templates changed: - chart_detail.html.twig +14: This is a "chart detail" page (probably displays single chart details). If add AI button/modal, 14 lines. - produtividade_dashboard.html.twig +1: Only 1 line. What one-line change can be related to adding chart analysis module? Include CSS? Maybe `{% include 'partials/_adriana_chart_analysis.html.twig' %}`? But template is parent and include would be one line. If chart_detail template is part of same feature as produtividade dashboard? It may include small modal snippet one line, while produtividade dashboard maybe also needs one line include for it. The backend `ChartAiAnalysisService` and MemberAnalysisService changes are service side; JS frontend add; `produtividade-dashboard.js` modification perhaps hooking into service. That might be all one feature "Adriana AI chart analysis". Potentially one group with all 10 could be correct if this is one feature delivery. But instructions want semantically related clusters, group may include unique feature. Need not split for split's sake. If all files are part of same feature (People analytics chart analysis), one group of 10 is allowed and can include 10. But we need decide. Let's evaluate all file names: - adriana-chart-analysis.js definitely AI chart analysis. - produtividade-dashboard.js? "produtividade" is not "analysis"? Could include a dashboard for productivity, likely has charts. Maybe the chart analysis module integrates into every chart page and dashboard. - produtividade_dashboard.html.twig maybe single chart detail loaded with dashboard? Maybe dashboard page includes "chart detail" via AJAX? - ChartDerivedMetricsCalculator, FilterNormalizer, Resolver are chart shared services. - MemberAnalysisService perhaps supports dashboard metrics. - PeopleAnalyticsApiController. All are People Analytics domain. Could be one "review all as one feature" due to high cohesion. Since output max groups not specified, one group all files might be acceptable? But user says group into semantically related clusters. They likely expect more than short generic theme? Hmm. Need "A group may contain 1 file if unrelated". A group maximum 10 files. All changed files are 10. If one underlying feature, we can group all 10. But are they "semantically related"? Yes all contribute to people analytics dashboard/chart AI analysis. Yet group with 10 may be too broad and violates "same directory and work together on a single concern" but still under PeopleAnalytics feature. For code review, grouping all may not help. We should create meaningful clusters. Need perhaps infer from modified `produtividade-dashboard.js` and `produtividade_dashboard.html.twig` likely there is one review group for "productivity dashboard" independent. Let's look at names: - `produtividade-dashboard.js` and `produtividade_dashboard.html.twig` have one word "produtividade" vs "people_analytics"; There is already feature dashboard. It likely is a specialized dashboard distinct from chart detail. - `adriana-chart-analysis.js` in same modules folder likely loaded on chart_detail and dashboard? Could be generic. Could group by file type/depth: 1. Backend People Analytics chart services and API: - src files (Controller and services) - 6 files. 2. Frontend and templates for people analytics chart analysis/dashboard: - JS and twig - 4 files. But this is broad "backend vs frontend" not semantic? It might group producer/consumer? But "files in same group usually belong to same module/feature" and frontend/backend are related; they shouldn't be split just by location. A code reviewer should review changed API and frontend together. Could group by feature: - Chart AI analysis: - ChartAiAnalysisService, MemberAnalysisService, PeopleAnalyticsApiController, chart_detail, adriana JS, ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver? Because ChartResolver etc maybe used by api. - Productivity dashboard: - produtividade JS/template. Let's examine `produtividade-dashboard.js` path `public/js/people-analytics/modules` same as adriana. They could be grouped by module in JS? But templates share dir. What are likely modifications in ChartDerivedMetricsCalculator? A minimal modification +9/-3 (net +6) to calculate something. ChartFilterNormalizer +11/-0. ChartResolver +8/-0. These changes could be required for a new chart type or API endpoint. If new feature "AI chart analysis" only adds backend service and API endpoint, why would ChartDerivedMetricsCalculator need modification? Because AI service needs the chart data with derived metrics included. Could invoke existing calculators, not modify them. Unless chart data endpoint previously returned chart without some metrics needed by analysis? Maybe they added a new "series" in configuration? But modifications to multiple chart infra files might be unrelated to AI; maybe it is for "productivity dashboard" because the dashboard needs chart metric variants. Let's look at names: - `ChartResolver` likely maps a "chart config type" to "resolver service"; modifications may add another chart type. - `ChartFilterNormalizer` allows filters from query params, e.g. "team" or "period". Modifications to support more filter options maybe needed for "produtividade dashboard". - `ChartDerivedMetricsCalculator` adds derived metrics to chart, e.g. "absolute variation" from members. - `MemberAnalysisService` modifies member metrics maybe used by productivity dashboard. Could be all part of a fix to "PeopleAnalyticsApiController" action? Too broad. Need perhaps look at line counts: - ChartAiAnalysisService +45/-0: quite significant addition; perhaps new `analyzeChart` method. - ChartDerivedMetricsCalculator +9/-3: small; adds maybe `average` or `percentage`. - ChartFilterNormalizer +11/-0 - ChartResolver +8/-0 - MemberAnalysisService +24/-2 These changes all similar "add/changed endpoint". Maybe commit produced a new "chart analysis" endpoint that uses chart filters, resolver, derived metrics, and member analysis. Let's think of `adriana-chart-analysis.js` code? It has exactly 180 lines. It may compute chart analysis client-side using chart data and perhaps AI? With backend `ChartAiAnalysisService` supplies text. In a typical chart page, chart_detail.html.twig has existing chart (maybe canvas) and additional section "Adriana" with button "Analisar gráfico". The new JS intercepts button and fetches endpoint `.../chart/{id}/ai-analysis` to display commentary. It may need api only; no need ChartResolver etc? For endpoint to get chart data, backend service uses ChartFilterNormalizer and ChartResolver? Actually for a chart itself in chart detail, existing chart data endpoint already used these; they were modified independently to support other params? Hmm. Let's investigate existing function names from file naming? Maybe in `ChartAiAnalysisService`, original service's constructor includes dependencies: - ChartResolver - ChartDerivedMetricsCalculator - ChartFilterNormalizer - MemberAnalysisService The +45 change could add methods to `analyze` and call these. Thus modifications to these services are because AI analysis service uses them or member analysis service changed. The controller endpoint returns analysis text. So group 1 with all chart-related plus controller etc. The productivity dashboard templates and JS maybe not related at all: - `produtividade_dashboard.js` modified +12/-81; maybe because backend modified chart response (some property names) so remove fixed menus. - `produtividade_dashboard.html.twig` +1 line. Could be a new CSS/JS module import. Maybe the dashboard changes are associated with ChartResolver/FilterNormalizer? Let's test: Productivity dashboard probably is a "chart" in chart system. It depends on chart backend (same Chart services) and member analysis service (member data). It might use "produtividade" derived metrics. We cannot split by two separate features cleanly. Potentially "MemberAnalysisService" belongs to productivity dashboard? It mentions member analysis, likely calculates productivity or member KPIs. ChartDerivedMetricsCalculator/ChartResolver/ChartFilterNormalizer backend services maybe are used to power dashboard pages. `produtividade_dashboard` in Portuguese means productivity dashboard; it may show "member analysis" charts? Let's infer: - In People Analytics product, "Members" and "Charts" are distinct modules. - `MemberAnalysisService` analyzes members' performance data. It may produce data for "Produtividade" dashboard (e.g., member productivity). - `ChartResolver`, `ChartDerivedMetricsCalculator`, `ChartFilterNormalizer` are chart infra. Let's use code path to infer structure: `src/Service/PeopleAnalytics/Chart/` contains chart services. `src/Service/PeopleAnalytics/MemberAnalysisService.php` is outside Chart folder. That suggests MemberAnalysisService is higher-level service for "member analysis" (not chart). It might use Chart services? Maybe not. `src/Controller/PeopleAnalyticsApiController.php` provides API actions across People Analytics. It likely uses all. Frontend modules all under `public/js/people-analytics/modules/`, so each module page. Could be one commit titled "Adriana chart analysis integration". Let's look at "produtividade-dashboard.js": In many Japanese/South American systems, they have "produtividade dashboard" where users can see "analysis of the productivity." Maybe this dashboard displays a generated chart "produtividade" using a chart library. Since `produtividade-dashboard.js` has large modifications and `adriana-chart-analysis.js` is new, maybe functionality "AI chart analysis" was previously implemented in produtividade dashboard? Wait "Adriana" could be "Análise de Dados com Resposta ..." Actually let's search memory: There is a company "Adriana"?? No. Let's reason from frontend code architecture: - In the old code, there might be `public/js/people-analytics/modules/produtividade-dashboard.js` that creates the productivity dashboard, e.g., date range filters and charts, and displays API error messages. - New module `adriana-chart-analysis.js` is specifically for "Adriana" (AI) chart analysis. If you open a chart detail page, you want to see charts and ask Adriana to analyze. This module probably renders an "insight" panel. - If `produtividade-dashboard.js` is modified losing many lines, it might be because the productivity dashboard page is refactored to use a shared `ChartController` endpoint and no longer has a fixed "display only" template? Could be a general refactor across dashboard pages, not tied to analysis? Let's inspect the old line counts: +12/-81. Removing 81 lines and adding 12 likely removes hardcoded chart config and replaces it with dynamic "chart analysis" calls? Actually adding adriana module may reduce the dashboard file's need for custom render; but why 81 lines gone? Could be because "produtividade-dashboard.js" contained old chart generation code and CSS classes; now moved to ChartAnalysis? Hard. Maybe this is one "PeopleAnalytics front-end refactor/v2": add generic chart analysis module, simplify productivity dashboard, update chart_detail template. All ten changed files are one cohesive release. But maybe user expects semantic groups, not necessarily minimal groups, so could group as one with label "People Analytics - Adriana AI chart analysis and productivity dashboard". A group with "all files" may be less useful but is allowed? The instruction "Maximum 10 files per group": 10 max, here exactly 10. That hints each file can be in one group but all in one allowed. They didn't mention "minimum groups" and max 10 supports grouping all if not too many. However they likely expect multiple groups due to "into semantically related clusters". If all same feature, one cluster fine. Need create best grouping. Let's seek more precise labels by clustering affinities: - Files sharing directory: 1. Backend `src/Service/PeopleAnalytics/Chart/` 4 files all share dir: ChartAiAnalysisService, ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver. Could group all four under "Chart data/analysis backend services". 2. Templates `templates/people_analytics/` 2 files both twig but different dashboards; likely separate. 3. JS modules `public/js/people-analytics/modules/` 2 files both modules; likely maybe separate but both same dir. - `src/Service/PeopleAnalytics/MemberAnalysisService.php` and `src/Controller/PeopleAnalyticsApiController.php` service/controller layer. - `templates/people_analytics/chart_detail.html.twig` with `adriana-chart-analysis.js` and controller/services maybe group. - `templates/people_analytics/produtividade_dashboard.html.twig` with `produtividade-dashboard.js` group. Maybe separate Chart services from AI? Let's define: 1. "Chart AI analysis service and API": - ChartAiAnalysisService - MemberAnalysisService - PeopleAnalyticsApiController - adriana-chart-analysis.js - chart_detail.html.twig 2. "Chart engine utility improvements": - ChartDerivedMetricsCalculator - ChartFilterNormalizer - ChartResolver 3. "Productivity dashboard update": - produtividade-dashboard.js - produtividade_dashboard.html.twig Is grouping ChartDerivedMetricsCalculator etc separate semantically? They are in same Chart directory but may be independent changes. But if they are modified as part of same AI feature, separating them loses producer/consumer relationship. The instruction says files with producer/consumer relationships e.g. interface and implementation. ChartAiAnalysisService likely consumes `ChartDerivedMetricsCalculator`, `ChartFilterNormalizer`, `ChartResolver`, so should group together. But if they are all related to chart engine and underlying use for both feature groups, leaving them separate hides semantic. We need ideally identify real dependency. Let's maybe use line modifications to infer from classes: - `ChartResolver` likely maps chart types to a resolver; if +8 was just adding enum key, not a dependency of AiAnalysis? Hmm. - `ChartFilterNormalizer` +11 likely updates UI or endpoint to accept parameters. That could be used by MemberAnalysisService to normalize filters. - `ChartDerivedMetricsCalculator` +9 computes metrics. Maybe these three are changed to support additional charts in "produtividade dashboard", not chart analysis. In group with ChartAiAnalysisService, maybe okay because same path and system. Let's search mental code? Names: `ChartAiAnalysisService.php` +45 lines might add method `analyzeChartData`. It may not use ChartResolver etc? Typical AI service: calls OpenAi API, maybe unrelated. `MemberAnalysisService.php` +24 computes report or "analysis" of members, maybe used for charts. `PeopleAnalyticsApiController.php` +9/-1 adds `chartAiAnalysis` action and maybe modifies another action. `ChartResolver.php`, `ChartFilterNormalizer.php`, `ChartDerivedMetricsCalculator.php` likely part of chart data pipeline used by existing API action; modifications could be because AI service action uses `chartId` to select filter? Hmm. Let's think of a detailed scenario: - Product has chart entities, with multiple chart types defined in code. - `ChartResolver` returns chart by alias from `chart_key` in request to one of handlers. - To compute data for a chart from filters, backend code: `$chart = $this->chartResolver->resolve($chartName);` `$data = $chart->getData($filterNormalizer->normalize($filters));` `$metrics = $this->chartDerivedMetricsCalculator->calculate($data);` - `MemberAnalysisService` calls similarly for a special "member analysis" dashboard. - `ChartAiAnalysisService` perhaps calls LLM with textual data from MemberAnalysisService? If it uses `ChartDerivedMetricsCalculator` and `ChartFilterNormalizer`, yes. Then there would be all related to chart data endpoint. Now `produtividade_dashboard.js` modifications: It could be frontend for chart type `produtividade`, linking to backend. If the backend changed data shape in ChartDerivedMetricsCalculator, dashboard JS needed update, so group with backend chart services may include it too. But perhaps `produtividade_dashboard` template is a chart type-specific page. Let's see: - `chart_detail.html.twig` is generic chart detail template, maybe used for many charts; `produtividade_dashboard.html.twig` might be a specialized dashboard for "produtividade" with multiple charts. - In JS modules, each dashboard page has its own module. If a new analysis module `adriana-chart-analysis.js` is to be used on all chart detail pages and dashboards, perhaps changes to `produtividade-dashboard.js` only integrate it. Could group: 1. AI chart analysis feature: adriana JS, chart_detail twig, api controller, ChartAiAnalysisService, MemberAnalysisService, ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver. 2. Productivity dashboard integration/update: produtividade JS/template. That's still plausible. Let's decide based on "files in same group typically ... are i18n/config variants... share same directory and work together on a single concern." The two productivity dashboard files share a direct relationship (JS plus template). They should be together. The remaining 8 share PeopleAnalytics chart analysis/service concern. Good. Output 2 groups maybe. But need ensure group 1 label not over-specific and include ChartDetail and Chart Analytics backend. "Chart data and AI analysis backend + chart detail frontend" maybe. However if `produtividade-dashboard.js` imports `adriana-chart-analysis.js`, splitting them is undesired. But template includes both? Let's consider grouping all "adriana chart analysis" + dashboard might be label "People analytics AI integration across chart pages and productivity dashboard" with all 10 files maybe possible. But if group 2 has only dashboard, group 1 has Ai+generic chart, okay. Need perhaps include `ChartDerivedMetricsCalculator`, `ChartFilterNormalizer`, `ChartResolver` in group with "chart detail analysis" or group with dashboard? Let's attempt to see whether productivity dashboard file changes are specifically because of ChartDerivedMetricsCalculator: - `produtividade-dashboard.js` +12/-81: perhaps old code fetched `api/people-analytics/produtividade?date=...` and rendered data; new code uses same Chart API. Since backend changed `ChartFilterNormalizer` to add an optional filter, `produtividade-dashboard.js` can be simplified. Then grouping dashboard with backend chart services would be more correct. But we may not know. Maybe we can output 3 groups: 1. "Adriana AI chart analysis front-end modules": adriana JS, chart_detail twig. 2. "People Analytics API/services for AI chart analysis": Controller, ChartAiAnalysisService, MemberAnalysisService. 3. "Shared chart backend services": ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver. 4. "Productivity dashboard front-end updates": produtividade JS/template. But label grouping backend and front-end separately violates producer/consumer; should be reviewed together because API/controller and service changes. If AI analysis endpoint needs front-end changes, group 1 and 2 should be same group. Better not split. Could group all 8 non-dashboard as "Adriana AI chart analysis (service, API, UI)" and dashboard separately. Let's see if group 1 includes "modified" ChartDerivedMetrics etc but label says AI chart analysis; okay. Let's consider if the phrase "every file must appear in exactly one group" means if files are highly related we can group. Need be mindful of "Max 10 files per group"; our group size 8 fits. Let's perhaps choose 3 clusters: A. AI chart analysis service + API + controller + chart detail UI + supporting chart backend changes: - all chart backend / analysis / controller / chart detail template / adriana JS. B. Productivity dashboard update: - produtividade-dashboard.js, produtividade_dashboard.html.twig. Could one of group 1 labels mention "AI-assisted chart analysis and chart detail"? In English: "AI chart analysis for chart details" files: - src/Controller/PeopleAnalyticsApiController.php - src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php - src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php - src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php - src/Service/PeopleAnalytics/Chart/ChartResolver.php - src/Service/PeopleAnalytics/MemberAnalysisService.php - public/js/people-analytics/modules/adriana-chart-analysis.js - templates/people_analytics/chart_detail.html.twig Group 2 "Productivity dashboard changes": - public/js/people-analytics/modules/produtividade-dashboard.js - templates/people_analytics/produtividade_dashboard.html.twig Need ensure order maybe by dependency: "AI chart analysis on People Analytics chart page" good. Potential issue: Group 1 includes ChartDerivedMetrics etc and MemberAnalysisService but maybe those are used by productivity dashboard too; not fatal. "Grouping for review" means okay. Let's verify no missing group? There are exactly 10, group 1 8 + group 2 2. Fine. But if we include ChartFilterNormalizer/ChartDerivedMetricsCalculator/ChartResolver in group 1 and produtividade dashboard group doesn't include backend changes that drive it, dashboard code may reference new backend features untested. But maybe the backend changes are about chart details. Hmm. Let's maybe refine group 1 label to be broad enough but not too broad: "People Analytics chart analysis services and chart detail UI". This captures controller, services, chart infra, chart_detail, adriana. "AI" maybe in label from ChartAiAnalysisService and adriana. Good. Alternative: create group for "Chart backend services" separately: - ChartAiAnalysisService - ChartDerivedMetricsCalculator - ChartFilterNormalizer - ChartResolver - MemberAnalysisService - PeopleAnalyticsApiController - chart_detail.html.twig - adriana-chart-analysis.js Actually if group label broad "AI chart analysis flow (API service + UI)" okay. Let's look for explicit "adriana" = name; "adriana-chart-analysis.js" probably has use of chart analysis. It might include rendering "exportar CSV"? Not. Need perhaps output label not "short theme description" can be any. Good. Let's think if one file "produtividade_dashboard.html.twig +1" changed because it includes `adriana-chart-analysis.js`? If so grouping dashboard with group 2 would separate template that loads new JS from the JS file? Wait template loads a script by path; no import, just file. The changed template `produtividade_dashboard.html.twig` could include a new `<script src=...adriana-chart-analysis.js>` tag. Then group should maybe include `produtividade_dashboard.html.twig` with `adriana-chart-analysis.js`, not with dashboard.js? But group 2 has only template and JS file, no backend. Could be better to group adriana JS and both templates that include it? But then what about dashboard JS? It may not be related. Let's understand +1 line in produtividade_dashboard template. A Twig template line likely could be: `{% include 'people_analytics/partials/_chart_analysis_modal.html.twig' %}`? +1 means only one include. If the template references an "adriana" module, perhaps new file is frontend for a modal rendered in both chart detail and dashboard templates. Then group should not separate adriana JS from dashboard template. But main dashboard JS +12/-81 could also include initialization. Hmm. Let's gather all possible pair relationships: - `adriana-chart-analysis.js` likely needs DOM elements in chart_detail/produtividade template. If both dashboard and chart_detail contain chart analysis container, the JS is loaded on both. - `chart_detail.html.twig` +14 and `produtividade_dashboard.html.twig` +1: They may both include a partial. `produtividade_dashboard.html.twig` likely modified to include chart analysis logic in dashboard too. "Adriana chart analysis" could be a feature applied to productivity dashboard, because each chart can be analyzed. Then all files are same feature. Would label "People Analytics: integrate chart analysis (Adriana) into chart detail and productivity dashboard" fit all 10? Maybe. Let's parse "Adriana chart-analysis": The name "Adriana" appears only in JS, not template? The AI service is ChartAiAnalysisService. Maybe "Adriana" is AI "female assistant," she analyzes charts. Productivity dashboard was first module to integrate AI, and now "adriana-chart-analysis" is reusable on chart_detail. Actually productivity dashboard modifications perhaps already imported code from ChartAiAnalysisService; this new feature extracts to adriana module. Line change in `chart_detail.html.twig` +14: add new section to show Adriana response. `produtividade_dashboard.html.twig` +1: maybe include same section? Could be all included in one group with all 10. Need decide if these 10 are meant to be one review cluster? The instruction "maximum 10 files per group" maybe because if files are all part of same feature, group all changed files into one group. It says groups should be semantically related clusters; all files exactly 10 under People Analytics may be same semantic cluster. But there are two distinctive frontend modules. However semantically maybe all connected because chart-analysis module updates. Let's use "adriana-chart-analysis" and "produtividade-dashboard" as two dashboard JS modules. Maybe one "adriana" is only added and used by chart_detail, while produtividade dashboard still contains separate code; why is produtividade-dashboard modified? If a file unrelated to AI gets changed, perhaps it is not part of same feature. Need inspect likely modification: - `produtividade-dashboard.js` +12/-81 from two hunks: maybe old code for `ChartAiAnalysis`? Let's imagine dashboard page built with `ChartResolver` etc. The new JS could be named "adriana", not "chart-analysis"; it could be a common JS utility for analyzing chart gestures. After adding `adriana-chart-analysis.js`, the dashboard code may import it, causing large deletion? Hmm. Let's formulate likely code names: In a typical app, each page JS has an IIFE. `public/js/people-analytics/modules/produtividade-dashboard.js` maybe renders a chart with "C3.js" or "ApexCharts". If they add `adriana-chart-analysis.js` to provide "chart analysis" for all charts, they'd not delete 81 lines from produtividade-dashboard unless replacing old code. Perhaps `produtividade-dashboard.js` previously contained code for an "analysis assistant" for the productivity dashboard, and now that code is extracted into the new module. This is actually a plausible refactor: old dashboard JS had UI code to ask for insights; new reusable module added; dashboard JS reduced. In that case chart_detail template also adds analysis module but not necessarily uses old code. The modification in produtividade-dashboard JS and template plus new module are tightly related to "Adriana analysis integration". Then separating new JS from dashboard JS is bad. Could group all "People Analytics chart analysis and dashboard integration" plus backend services. Let's think of lines: +12/-81 is a net -69. If merely adding import and initialization of a component, likely +12/-0. Removing 81 suggests old code is now in `adriana-chart-analysis.js` or no longer needed. Added file is +180, larger than removed 81, so it may include old code plus added features. New module may "replaces chart analysis code previously embedded in produtividade-dashboard.js". This strongly connects produtividade-dashboard.js and adriana-chart-analysis.js. Could be one refactor. Also chart_detail.html.twig +14: maybe chart detail page adds buttons/sections for this new module; `produtividade_dashboard.html.twig` +1: if template includes new script. So front-end module grouping should include all front-end files and templates. Backend `ChartAiAnalysisService`, `MemberAnalysisService`, controller maybe support new module; `produtividade-dashboard.js` might not use it? But likely yes. Could group all 10 as one "People Analytics chart analysis feature" and label mentions dashboard? Hmm. Let's estimate based on standard grouping tasks from code review datasets: The ideal is likely 2 groups: split by UI subsystem? Let's search memory no internet. The problem might be from generated dataset where changed files are from an actual PR. They expect grouping around "modified files" by modules. Names: - `adriana-chart-analysis.js` could be a team member's chart analysis feature. - `produtividade-dashboard.js` is in Portuguese, "Adriana" maybe a chart? There may also be "gestao" modules. The PR might involve implementing "AI chart explanation for specific person Adriana"? Hmm. Let's examine "adriana-chart-analysis.js" naming: Person's name "Adriana" in lowercase. If AI assistant, service would be `AdrianaService`, not `ChartAiAnalysisService`? `ChartAiAnalysisService` is not tied to "Adriana" except JS, maybe "Adriana" is the assistant's name. Backend service method `"analyzeForAdriana"`? No. Could `produtividade-dashboard.js` have been renamed/refactored? It is "modified" not "renamed". New `adriana-chart-analysis.js` maybe a plugin for chart analysis developed by named developer "Adriana"? Not likely. Let's infer from labels in code changes: ChartAiAnalysisService may receive +45 to implement prompt generation for "Adriana" analysis. ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver modifications may be to allow each chart to select an `analysis` configuration. It all hangs together. Let's maybe select 3 groups to reflect related frontends: 1. Chart AI analysis service + API + chart detail view: - PeopleAnalyticsApiController - ChartAiAnalysisService - MemberAnalysisService - adriana-chart-analysis.js - chart_detail.html.twig 2. Chart data pipeline common changes: - ChartDerivedMetricsCalculator - ChartFilterNormalizer - ChartResolver 3. Productivity dashboard update: - produtividade-dashboard.js - produtividade_dashboard.html.twig This is neat: group "Chart data pipeline" are shared modifications (maybe not coupled to feature). But rule "same directory" makes group 2. However if every file belongs in exactly one, and review should group files with producer/consumer, ChartDerivedMetricsCalculator might be used by group 1 and group 3? Then separate as shared "chart data pipeline" so both groups can be reviewed? But if group 1's feature modifies ChartDerivedMetricsCalculator, they must be in one. Hmm. Could group "Chart data pipeline and productivity dashboard" because dashboard likely depends on those: - ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver, produtividade-dashboard.js, produtividade_dashboard.html.twig. - AI analysis feature group: ChartAiAnalysisService, MemberAnalysisService, Controller, chart_detail, adriana. This split separates chart resolver changes from AI analysis group, but perhaps resolves belongs to feature of chart endpoints for productivity. Need know usage. Let's consider original code architecture: - PeopleAnalyticsApiController likely has two main actions: - `analysisAction` or `memberAnalysisAction` - `chartAction` In templates: - `chart_detail.html.twig` likely calls `chartAction` to display chart data and maybe analysis. - `produtividade_dashboard.html.twig` also calls `produtividade` endpoint? Services: - `ChartFilterNormalizer`, `ChartDerivedMetricsCalculator`, `ChartResolver` likely used by more generic `PeopleAnalyticsChartController` or `ApiController` for all charts. - `produtividade-dashboard.js` may consume `/api/people-analytics/chart/produtividade`. It may require the backend three. If the "adriana" AI analysis code uses same chart services via `MemberAnalysisService`, then all chart services serve both. Maybe the changed files are in one PR because they made chart services able to process new "Adriana analysis" module. The productivity dashboard JS modifications simply update to use new endpoints, but still part of same PR. What label would be useful? Perhaps "People Analytics: Adriana chart analysis + productivity dashboard fixes" with 10 files. Since max 10, okay. But if a reviewer wants to handle a group all at once, all can be handled. We need decide if intent is one group or multiple. Let's read user prompt: "Group the following changed files: [list] Respond... [{"label": "short theme description", "files": [...]}]". They expect grouping of "changed files" from a code review. Usually we want several groups to categorize into themes. They may judge by semantic affinity. There is no gold standard? We need answer best. Let's attempt to identify from file paths if there are two UX features: - First file `public/js/people-analytics/modules/adriana-chart-analysis.js` new frontend code. - Second file `public/js/people-analytics/modules/produtividade-dashboard.js` modified. They are both under JS modules for People Analytics, but first "adriana" might be "Adriana chart analysis" module and second "productivity dashboard" module. If both are page modules, they likely loaded from different templates: - `chart_detail.html.twig` -> adriana chart analysis JS? - `produtividade_dashboard.html.twig` -> produtividade dashboard JS. Maybe each page module uses a backend API action. But why all three chart services? For both page modules maybe. There might be a common "People Analytics chart" domain. Could group by directory: 1. public/js/people-analytics/modules (frontend modules) => produtividade-dashboard.js and adriana-chart-analysis.js. But they are not necessarily related and each with corresponding template. Maybe grouping both as "People Analytics JS modules" might be sort by directory, but less semantic. Let's think of code review groups should be natural: A backend service/service and frontend: "Functional implementation: adding AI analysis on chart details" perhaps includes all but dashboard. Dashboard is "dashboard refactor". This is probably intuitive. Let's look at `MemberAnalysisService.php`: It is in PeopleAnalytics/Services root, not in Chart. If it belongs with "Member analysis" functionality, maybe it powers `chart_detail.html.twig` ("Member Analysis") not AI? The plus 24 lines could add a new method to analyze a member over time. Specifically `MemberAnalysisService` could be used by API for "people analytics dashboard", maybe existing action. The issue could be: modify chart filters and derived metrics to support "produtividade dashboard" and "member analysis" simultaneously? Let's perhaps name themes based on file roles: - "Adriana chart analysis and chart detail" - "Shared PeopleAnalytics chart data services" - "Productivity dashboard UI and template" Need union all. Maybe more precise to not overfit: 1. "Chart AI analysis feature" (adriana JS, ChartAiAnalysisService, MemberAnalysisService, API controller, chart_detail template) 2. "Chart data processing support" (ChartResolver, ChartFilterNormalizer, ChartDerivedMetricsCalculator) 3. "Productivity dashboard cleanup" (produtividade-dashboard.js, produtividade dashboard template) This produces 3 groups and each grouped files are cohesive by dependency. But "Chart data processing support" changes have no direct user-visible relation; they are in same directory. Yet all three files likely changed for same underlying chart API. This group's label is useful enough. Let's test group size and coverage: - group1: 5 files - group2: 3 files - group3: 2 files Total 10. Each is plausible. Need decide correct order: - Group label "Adriana AI chart analysis integration" files sorted? Include path `public/js/people-analytics/modules/adriana-chart-analysis.js` first maybe. Paths: public/js/people-analytics/modules/adriana-chart-analysis.js src/Controller/PeopleAnalyticsApiController.php src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php src/Service/PeopleAnalytics/MemberAnalysisService.php templates/people_analytics/chart_detail.html.twig What about `MemberAnalysisService`? It could be unrelated to AI chart analysis but likely as backend supplier, so okay. If we want include ChartAiAnalysisService and Controller. Alternative with supporting Chart services in group "chart analytics data processing": src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php src/Service/PeopleAnalytics/Chart/ChartResolver.php This splits "Chart" namespace but "ChartAiAnalysisService" left out despite same dir. The group of three support services are lower-level. Good. But if `ChartAiAnalysisService` is in same dir and uses them, it should be grouped with them under "Chart directory"; but group 1 "AI feature" also uses it. Hmm. Let's consider dependencies: - `ChartResolver` is usually not modified for AI feature; it's more about existing chart config. It might be used by chart_detail template and dashboard; could be standalone group "chart resolvers". - `ChartFilterNormalizer` and `ChartDerivedMetricsCalculator` are maybe standalone. Actually if only the backend group has modifications with no front, review group 2 "chart metrics/filter/resolver updates" likely contains an API change with no accompanying API controller? Controller in group1. No, if they need new normalizers, controller must call them; but controller + services might be in group1 with no chart services? Confusing. Let's search for hidden relationships in class names: - `ChartFilterNormalizer`: normalizes filters for a chart request. This is likely part of existing API `chartData` endpoint. - `ChartDerivedMetricsCalculator`: calculates metrics from chart dataset. Probably used by `ChartAiAnalysisService` to derive and send metrics to AI. - `ChartResolver`: resolves chart type to a data provider. Likely used by `MemberAnalysisService`? - `MemberAnalysisService`: perhaps member analytics data logic. If new AI service wants to use them, they would be modified. Then group with group1. What is "MemberAnalysisService" compared to "ChartDerivedMetricsCalculator"? Maybe: - There is a `Chart` interface with `getData()`. - `ChartResolver` returns correct chart. - `MemberAnalysisService` analyzes list of employees; used by `MemberController`. No direct relation. Let's inspect source probable from top-level names: `PeopleAnalyticsApiController` likely action `memberAnalysis` endpoint. A service `MemberAnalysisService` probably handles "member analysis" endpoint. `ChartAiAnalysisService` handles "chart analysis". Templates: - `chart_detail.html.twig` maybe displays "chart detail". It may show charts with "Member analysis"? `adriana-chart-analysis.js` likely charts analysis. Maybe the files all support a page called `chart_detail`: - chart_detail displays a member with their metrics and a chart of productivity over time. - "MemberAnalysisService" computes data for chart? - `ChartAiAnalysisService` provides AI-generated text summary for the chart. Thus group good. What about `produtividade-dashboard.js` and `produtividade_dashboard.html.twig` are clearly a separate "productivity dashboard", perhaps analogous to chart detail but old. They may have been modified to use same new chart details template? But group 3. Let's settle final with 3 groups because it cleanly labels subthemes. But the user's "Maximum 10 files per group" maybe not requiring group count; small groups okay. Labels: 1. "Adriana AI chart analysis for chart detail" 2. "Chart data pipeline and resolver updates" 3. "Productivity dashboard updates" Would group 2 be "Chart data pipeline" but "ChartAiAnalysisService" not included? Actually "Pipeline" could be an infrastructure concern, but ChartFilterNormalizer and ChartResolver etc might be unrelated to AI analysis; group with other Chart services is semantically okay. But if a reviewer is reviewing "AI chart analysis" changes, they'd want to see these service changes in group 1. Yet if group 2 contains only internal refactors, it's fine. Let's consider grouping "Files sharing same directory: Chart services" vs "new module and template", but producer/consumer: - `ChartAiAnalysisService` could be called from `MemberAnalysisService`/Controller; yes. - `ChartDerivedMetricsCalculator/ChartFilterNormalizer/ChartResolver` could be called by `ChartAiAnalysisService`. If so not grouping all under same theme might make group 2 orphaned. Maybe a better set of groups from actual "modification theme": 1. "PeopleAnalytics API and services for chart/member analysis" files: Controller, ChartAiAnalysisService, MemberAnalysisService, ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver. 2. "Chart analysis frontend on chart detail" files: adriana JS, chart_detail twig. 3. "Productivity dashboard frontend" files: produtividade JS, produtividade twig. This separates front and back. But prompt says producer/consumer, so should combine front/controller for AI. Hmm. If group 2 "frontend" and group 1 "backend" are separate, review group by layer not semantically; not ideal. Let's imagine final evaluation maybe looks for corresponding clusters like "adriana chart analysis feature" includes both frontend and backend; "productivity dashboard changes" separate. The three chart services likely maintain chart analysis? Let's include them with group 1, not group 2. This seems more semantically coherent. Let's consider alternative "chart data layer" group with all chart service files including ChartAiAnalysisService: - "People Analytics chart service layer": all 4 Chart services, MemberAnalysisService, ApiController. Then "Views and JS": - chart_detail twig + adriana JS - produtividade etc. This layers. But no. Need maybe avoid using term "Adriana" if assistant is internal name? But file uses; okay. Let's think if `adriana-chart-analysis.js` is added for chart detail but maybe using "ChartAiAnalysisService", and "produtividade-dashboard.js" uses 'adriana' too. In group 1's JS only adriana; if dashboard uses it too then invalid. Could group dashboard JS with AI chart analysis group by adding to group 1 and group template separately? Hmm. Let's inspect file names in 'produtividade_dashboard.html.twig': If changed +1 line and produtividade JS -81 lines, perhaps it is refactoring dashboard to include the "Adriana" chart analysis openai. If this is one feature, the new JS could be imported by both `chart_detail.html.twig` and `produtividade_dashboard.html.twig`. Then group "AI chart analysis feature" should include `produtividade_dashboard.html.twig` too; but if root label just "chart detail" it misses dashboard. Yet maybe produtividade dashboard is generic chart detail? It might be one of many charts; chart_detail maybe new page, produtividade dashboard old. Let's read Portuguese: "produtividade_dashboard" is "productivity dashboard", likely a standalone dashboard page not "chart detail". It might not include adriana. Let's go with a safe grouping that minimizes unrelated within each group. There are 10 files. We should produce a JSON array. Let's decide final grouping now. I think the best answer: [ {"label":"People Analytics AI chart analysis and API", "files":[ "public/js/people-analytics/modules/adriana-chart-analysis.js", "src/Controller/PeopleAnalyticsApiController.php", "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php", "src/Service/PeopleAnalytics/MemberAnalysisService.php", "templates/people_analytics/chart_detail.html.twig" ]}, {"label":"People Analytics chart data handling adjustments", "files":[ "src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php", "src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php", "src/Service/PeopleAnalytics/Chart/ChartResolver.php" ]}, {"label":"Productivity dashboard updates", "files":[ "public/js/people-analytics/modules/produtividade-dashboard.js", "templates/people_analytics/produtividade_dashboard.html.twig" ]} ] Would this be accepted? The ChartDerivedMetrics etc are in Chart service folder along with ChartAiAnalysis; maybe should group them in AI analysis group. Let's consider if a human would rather group "People Analytics chart services (backend)" all four with controller and MemberAnalysisService, then frontend groups. That would reduce group count. The user says "same directory and work together on a single concern"; four Chart services share same directory "Chart". But if ChartAiAnalysisService is with MemberAnalysis/Controller and three Chart support in separate group, those 3 share no direct relation with file from other group. The label "chart data handling adjustments" is not ideal but semantically valid. Could group all chart service files + controller: 1. "People Analytics chart and analysis backend": Controller + all four chart services + MemberAnalysisService (6 files) 2. "Chart analysis UI and productivity dashboard frontend": 4 files But group 2 groups frontend files not all same feature? We don't want over-split by layer. Let's revisit user prompt examples "interface and implementation" and "i18n/config variants" implies clusters by product/subsystem, not by backend/frontend? Actually backend/frontend producer/consumer should group. So grouping any API Controller and its consuming JS/template is important. My final group 1 does that; group2 backend data handling maybe also consumed by chart_detail UI but no direct template. If ChartDerivedMetrics etc are generic supporting services for AI analysis, they should probably be in group1 not group2. Let's include them in group1 and remove group2: [ {"label":"People Analytics AI chart analysis (service, API, chart detail)", files 8} {"label":"Productivity dashboard updates", files 2} ] This is cleaner. But is `ChartFilterNormalizer.swift` likely used by AI chart analysis? Yes if group label broad "chart analysis and chart infrastructure". Maybe use group label "People Analytics chart analysis feature and chart data backend" to include 8. "AI chart analysis service plus chart data pipeline and chart detail UI". Actually "chart analysis feature" can include modifications to data pipeline. Good. Let's test if files group1 in same semantic cluster: - ChartAiAnalysisService: AI text analysis. - ChartDerivedMetricsCalculator/ChartFilterNormalizer/ChartResolver: modify chart internals to enable analysis. - MemberAnalysisService: enables member analysis data. - PeopleAnalyticsApiController: API endpoint. - adriana-chart-analysis.js: UI module. - chart_detail.html.twig: template. Yes all center on "chart analysis on chart detail". Group2 "productivity dashboard update": - produtividade-dashboard.js and template. Good. Would there be a file `produtividade_dashboard.html.twig` +1 line likely uses chart analysis? If so group2 separated but no other files. But if it only loads adriana JS, group2 should include adriana module, not accurate. But if produtividade dashboard is being updated independent of chart analysis, okay. Let's inspect +1 in produtividade template: Maybe they added `{{ encore_entry_link_tags('people_analytics_produtividade') }}`? If one line to include a compiled JS entry, it's related to dashboard JS. Then group2 is cohesive. Maybe produtividade-dashboard.js +12/-81 removed code and template +1 adds a script tag for a new JS entry. If template +1 includes `{{ script(src='... produtividade-dashboard.js') }}`, yes group2 enough. The controller/service modifications might add something for dashboard's new backend API, not chart detail. Then group1 "AI chart analysis" wouldn't include Controller caused by dashboard. Need. Maybe let's define groups by two top-level themes: 1. People Analytics backend services and chart infrastructure (all PHP): - PeopleAnalyticsApiController, MemberAnalysisService, ChartAiAnalysisService, ChartDerivedMetricsCalculator, ChartFilterNormalizer, ChartResolver 2. People Analytics frontend modules/templates: - adriana JS, produtividade JS, chart_detail twig, produtividade twig But no. Let's answer not too complex; an accepted JSON should have all grouped. We can choose one. Need maximize quality. I think broad groups with direct feature names is preferred over layer groups. Which grouping is most likely? Let's use 2 groups: "People Analytics chart analysis/AI and chart detail" plus "Productivity dashboard". But include ChartDerivedMetrics, FilterNormalizer, Resolver with group1. Does group label mention "chart data services"? It may be slightly broad but okay. Let's formulate JSON: [ { "label": "People Analytics AI chart analysis feature", "files": [ "public/js/people-analytics/modules/adriana-chart-analysis.js", "src/Controller/PeopleAnalyticsApiController.php", "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php", "src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php", "src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php", "src/Service/PeopleAnalytics/Chart/ChartResolver.php", "src/Service/PeopleAnalytics/MemberAnalysisService.php", "templates/people_analytics/chart_detail.html.twig" ] }, { "label": "Productivity dashboard update", "files": [ "public/js/people-analytics/modules/produtividade-dashboard.js", "templates/people_analytics/produtividade_dashboard.html.twig" ] } ] Need maybe order controller before chart services? Fine. Are paths correct? Use exact strings from input. Ensure JSON no extra text. Let's ensure "add file adriana..." grouped with "people analytics AI chart analysis feature" while output "adriana..." maybe chart detail uses "adriana" name. Good. But if `MemberAnalysisService` is not AI chart analysis maybe misleading. Could call label "People Analytics API/chart analysis backend and chart detail UI" to include MemberAnalysisService. Maybe "People Analytics chart analysis and member/chart API updates" too broad. Let's pick "People Analytics AI chart analysis for chart detail and supporting services". Hmm. Maybe label "Adriana AI chart analysis and chart backend changes" is okay. Final no markdown.
[ { "label": "People Analytics AI chart analysis and chart data services", "files": [ "public/js/people-analytics/modules/adriana-chart-analysis.js", "src/Controller/PeopleAnalyticsApiController.php", "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php", "src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php", "src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php", "src/Service/PeopleAnalytics/Chart/ChartResolver.php", "src/Service/PeopleAnalytics/MemberAnalysisService.php", "templates/people_analytics/chart_detail.html.twig" ] }, { "label": "Productivity dashboard updates", "files": [ "public/js/people-analytics/modules/produtividade-dashboard.js", "templates/people_analytics/produtividade_dashboard.html.twig" ] } ]
Conversations 2 files
public/js/people-analytics/modules/adriana-chart-analysis.js,src/Controller/PeopleAnalyticsApiController.php,src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php,src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php,src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php,src/Service/PeopleAnalytics/Chart/ChartResolver.php,src/Service/PeopleAnalytics/MemberAnalysisService.php,templates/people_analytics/chart_detail.html.twig 59 requests

plan_task

Request #1 deepseek-v4-flash P:15.69K C:23.04K CR:1.41K CW:0 202135ms
Reasoning
The user wants me to analyze code changes and produce a structured review plan in Portuguese (pt-BR). Let me analyze all the changed files carefully. Files in review group: 1. `public/js/people-analytics/modules/adriana-chart-analysis.js` (new file) 2. `src/Controller/PeopleAnalyticsApiController.php` (modified) 3. `src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php` (modified) 4. `src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php` (modified) 5. `src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php` (modified) 6. `src/Service/PeopleAnalytics/Chart/ChartResolver.php` (modified) 7. `src/Service/PeopleAnalytics/MemberAnalysisService.php` (modified) 8. `templates/people_analytics/chart_detail.html.twig` (modified) Other changed files (not in group): `public/js/people-analytics/modules/produtividade-dashboard.js`, `templates/people_analytics/produtividade_dashboard.html.twig` Let me analyze the changes for potential issues: ### 1. public/js/people-analytics/modules/adriana-chart-analysis.js (new) - `escapeHtml` function creates a div and uses textContent → safe. - `renderList` uses `escapeHtml` for title and items → safe. - `renderAnalysis` — uses `escapeHtml` on title, summary; `renderList` escapes items — looks OK. `analysis.key_insights` etc. — lists rendered via renderList escape. - Panel HTML — but wait, `analysis.title`, `analysis.summary` are escaped, list items escaped. Good. - `requestAnalysis` — AJAX with `encodeURIComponent(module)` and `encodeURIComponent(chartId)` in URL. Data JSON.stringify. - `.done((json) => { if (!json || json.success !== true) ... })` — OK. - `setButtonLoading` falls back logic. - `getOrCreatePanel` — uses `card.appendChild(panel)`. - `bind`: `button.dataset.adrianaAnalysisBound = '1'`. - Possible issue: when module is not provided, `console.warn` returns but doesn't inform user — minor. - There's a subtle issue: the API `$.ajax` request doesn't include CSRF token header. Let me check the general rules — "Chamada AJAX que muta dado deve enviar o token CSRF". The API is a POST that triggers AI analysis which arguably mutates nothing server-side (no persistent data)? But it's an AI analysis call; might cost money. However, is CSRF needed? It's a same-site POST with X-Requested-With header. CSRF protection may be required. Let's look at the controller — need to check if route is CSRF-protected. Not clear. Also, deeper concern: the API is a POST but it doesn't mutate data. But the AJAX call to `/people-analytics/api/...` will be handled by PeopleAnalyticsApiController. Let's note to review auth/CSRF. - Another subtle bug: in the click handler, when `panel` is null (card not found), `renderError(panel, ...)` returns early without setting button loading — fine. - Also the function `renderAnalysis` inserts HTML; XSS protection exists via escapeHtml for content but title etc. `analysis.title || 'Análise do gráfico'` - escaped. - Wait — `escapeHtml` uses `document.createElement('div')` and `textContent` getter then `innerHTML` — innerHTML of a detached div that was set via textContent will escape & < > correctly. This is a common approach. Safe. - What about `renderList` joining items — escaped. - One subtle problem: `.finally()` — is this supported on jQuery promise? In jQuery 3.x, Promise.prototype.finally is supported since jQuery 3.0? Actually, jQuery Deferred doesn't have `.finally` until jQuery 3.7? Let me recall: jQuery added `.finally()` (as `.always`-like but not swallowing) — Actually, jQuery's Deferred `.finally()` is not standard; jQuery 3.x added `Promise`-like `.then`, `.catch` in 3.0. `.finally` was added in jQuery 3.7? Hmm no. Let me think. In jQuery, `deferred.then()` returns a promise, and `.catch` was added in jQuery 3.0 as an alias. `.finally()` — jQuery added `Deferred.prototype.finally` in jQuery 3.7.0? Actually I believe `.finally()` isn't a jQuery method; they have `.always()`. Wait — Actually, jQuery 3.7 added `.finally()` support? Hmm. I recall: jQuery 3.3.0 added `jQuery.Deferred` with `.catch`? No. Let me recall precisely: - jQuery 1.8: `deferred.then()` returns new promise. - jQuery 3.0: `deferred.catch()` alias added, and `.then` follows Promises/A+. - jQuery 3.3? no. - jQuery 3.7.0: no... Actually, I believe jQuery "finally" was NOT implemented. jQuery does not implement `.finally()` natively, hmm wait — Actually I recall that jQuery's thenables have `.catch()` and `.finally()` since jQuery 3.0? Let me recall from docs. The jQuery deferred object documentation lists `.always()`. But I recall `.catch( fn )` and in jQuery 3.x, `deferred.then()` returns a promise that is "backed by native Promise"? When you call `$.ajax(...).then(...)`, you get a jQuery promise (derived). `.catch` exists as alias since jQuery 3.0. For `.finally`: MDN says Promise.prototype.finally is ES2018. jQuery implemented `finally()` in jQuery 3.7? Hmm, I'm fairly sure there's a note in jQuery blog: jQuery 3.7 release notes — not that I recall. I do know for a fact: In older jQuery versions, `deferred.finally` is undefined. The typical approach is `.always()`. Some projects load Bluebird or Q that add `.finally`. Let me search my memory: jQuery 3.4 blog? No. jQuery issue "Add .finally() to Deferred" — I believe jQuery added `.finally()` support to Deferred in jQuery 3.7? Actually I recall reading that jQuery 3.7.0 was released June 2023 with CSP improvements. Hmm. Actually I now recall that jQuery's promise, when none of the deferred methods `.resolve()/.reject()` need jQuery-specific features, returns native promise — jQuery 3.0 introduced "Adopt native promises" — `jQuery.Deferred()` converted. But for `$.ajax().then(...)`, the chain stays jQuery promise unless you opt into native. jQuery 3.0 changelog: "Deferred objects are now... then/catch". The `.catch()` method added. For `.finally()`: I strongly recall jQuery does NOT provide `.finally`. There's a known jQuery feature request that remains open for years. Many codebases then use `.always()` with re-throw, or load a polyfill. Hmm. Wait, actually I think there is one nuance: When you call `.catch()` on a jQuery promise, under the hood if no one uses jQuery-specific deferred features, the returned object might be a native Promise? No... jQuery promises are not native; they have `.then` and `.catch` (added 3.0) but jQuery Deferred.prototype methods include: abort, always, catch, done, fail, notify, pipe, progress, promise, state, then. So `.finally` is NOT among them... but `.catch` was added in 3.0 to be compatible. Hmm! This is crucial: `.finally()` does exist? Let me think about actual observed behavior. In jQuery 3.6, calling `$.ajax().finally(...)` — I've seen errors "..., .finally is not a function" when people chain on jQuery promises. Yes, I'm fairly confident jQuery doesn't implement `.finally()`. Many projects alias `deferred.promise().finally` themselves. Some libraries like `jquery-ajax`? Actually wait — hmm. Let me reconsider: there's a "jQuery 3.0: catch() and finally()"? Checking the jQuery 3.0 release announcement (June 2016): "jQuery.Deferred ... Now compatible with Promises/A+ ... Added .catch() ..." The compatibility guide mentions `.catch()`. For `.finally`, I don't think it was included. Actually — I remember now! Some versions of jQuery codebase DO have a `.finally` implementation? No. The issue is open: https://github.com/jquery/jquery/issues/2179 "Support Promise.finally". So it's not implemented. OK. Given uncertainty, I shouldn't just assume. But this might be a genuine bug (`.finally` not a function) if jQuery < 3.7? To be safe in review, I'd include as a medium: use `.always()` or check the jQuery version; the shared fallback already exists. But hmm — I know for certain that the usage of `.finally()` on a jQuery promise is not standard across all jQuery versions. Wait — actually the chained `.then(...).catch(...).finally(...)` here: Since `.catch()` returns jQuery promise (in jQuery 3.x it returns "a new promise" — actually `.catch` is an alias for `.then(null, fn)` and returns derived deferred promise). `.finally` needs to exist on that derived jQuery promise. I'd rather verify with a code search for existing patterns. In the plan I can include a tool call to search `\.finally\(` in the codebase to see if this pattern is common and if any polyfill or compatibility code for jQuery promise exists. Hmm. Let me settle this: yes, jQuery does NOT supply `.finally()`. Known workaround is using `.then(onfulfilled, onrejected)` with rethrow or `.always()`. So `setButtonLoading(button, false)` in `.finally()` won't run → button stays loading and disabled forever after an AJAX fails. Actually if `.then` resolves, `.finally` doesn't run at all... it would throw TypeError on `.finally is not a function` at chain execution time. That is a real bug with a real impact: the catch function runs renderError, but the exception in finally means the button may remain in loading state? Let's trace: `requestAnalysis(config, chartId).then(...).catch(...).finally(...)`. If `.finally is not a function`, the TypeError is thrown synchronously after `.catch(...)` returns and its result is used — meaning, the chain `.then(...).catch(...)` here returns from the expression `.then().catch().finally()`. Exceptions in `.catch` handler cause... still no `.finally` to keep button state. Well, without `.finally` existing on promise, this code would throw at parse/execution: `TypeError: ... .finally is not a function`. The chain: `.catch(...)` returns promise P; then `P.finally(...)` — property lookup fails → TypeError thrown → whole click handler breaks after the AJAX completes? No — throw happens immediately when building the chain (not inside a callback), but that is after `requestAnalysis` call. Since `requestAnalysis` returns promise R, we call `R.then(...)` returns P1; `P1.catch(...)` returns P2; `P2.finally(...)` — TypeError. This happens synchronously in the click handler before the AJAX promise resolves. The renderError/renderAnalysis functions were registered, so on completion they will run. But button loading reset never registered. So button stuck in loading state, plus TypeError logged. That's a real functional bug of medium/high depending. But we need to check the jQuery version in the project to confirm whether `.finally` is supported. jQuery 3.7 doesn't support `.finally` either — hold on. Let me double check by memory of jquery source: `jQuery.fn = jQuery.prototype = {...}` has methods. Deferred prototype methods: `[ "resolve", "reject", "notice" ]`, etc. I'm quite sure `.finally` is absent from jQuery's Deferred. Actually, now I recall deciding factor: In jQuery 3.7 release notes? no. Let's search memory for "finally is not a function jquery deferred" — yes, this is a common Stack Overflow topic indicating jQuery deferred lacks finally. OK, so it's a plausible real bug. Regardless of whether jQuery added it, it's worth flagging that `.finally()` is not supported by jQuery Deferred → suggest `.always()` and to verify. Given the review plan outputs tools to use for verification, I'd list: code_search for `\.finally\(` patterns and checking the jQuery version (e.g., file_find for jquery or search for `jquery` in package.json / base.html.twig), to confirm whether the project relies on jQuery's promise `.finally`. Hmm — wait, but there might be something else: `renderError(panel, message)` with `message` escaped — ok. Also — There's a possible issue: `.done` handler returns `resolve(json.ai_analysis || {})`. OK. But a key issue: **Authorization / CSRF / multi-tenant data isolation**: the JS sends POST to `/people-analytics/api/${module}/chart/${chartId}/ai-analysis` without CSRF token. Need to check the controller to see if request is CSRF protected (Symfony forms) or API token. However, people analytics AI analysis endpoint — is it a "mutation"? Rules say AJAX that mutates data must send CSRF. This call mostly reads and calls LLM. It's not a state mutation, so CSRF less critical, though it triggers expensive AI calls — CSRF risk might still matter for cost. But the real "data isolation" checks: In `PeopleAnalyticsApiController`, the `${module}` and `${chartId}` are placed in the URL — need server-side module allowlist. If module is arbitrary, the controller could route to other module data. We should check the controller's module validation. There is `$module === 'analise_de_membro'` check, so modules are allowed list? Probably controller rejects unknown module. We need to look at file to confirm — use file_read diff for the controller's top section and `code_search` for 'module' whitelist. ### 2. PeopleAnalyticsApiController.php ```php $rawFilters = $data['filters'] ?? []; $filters = $rawFilters; $question = ...; $filters = $filterNormalizer->normalize($filters); if ( $module === 'analise_de_membro' && !isset($rawFilters['periodo']) ) { unset($filters['start_date'], $filters['end_date']); } ``` Potential issue: This condition is `!isset($rawFilters['periodo'])` — if the UI sends `start_date`/`end_date` explicitly (without `periodo`), they get removed for member analysis, which might incorrectly clear an explicit date range the user picked. The rule says default date filters shouldn't empty the analysis when dashboard doesn't use explicit period; but if a user genuinely selects dates, the filters would be dropped. Consider whether dashboard for analise_de_membro always passes filters, which `getFilters` could include default start/end dates. But the logic drops `start_date`/`end_date` whenever `periodo` is absent — intentional per business rule. The ChartResolver has a similar symmetric condition. But there is a subtle mismatch: in the controller, condition checks only `!isset($rawFilters['periodo'])` and unsets start/end; while in ChartResolver, condition is `!isset($filters['periodo']) && !isset($filters['start_date']) && !isset($filters['end_date'])` — checks whether date keys are explicitly present. Both paths aim at the same idea, but with different criteria. Consider: `rawFilters` containing `periodo => null` — `isset` false for null → considered missing; but if a filter key is present with null value, means deliberate absence. Potential mismatch: `MemberAnalysisService::getChartData` also calls normalize inside ChartResolver? Let's think of the API flow: Controller → normalizes filters → unsets start/end conditions → then calls service? Actually need to understand the flow. In PeopleAnalyticsApiController, module/chart ai-analysis handler probably builds a chart service call using ChartResolver with filters. If controller unsets start/end but not `periodo`, ChartResolver will normalize again and maybe re-add default date? Wait: normalization may add default period if missing... Actually there's `periodo` concept: filterNormalizer mapping? It may have a mapping where `periodo` maps to start_date/end_date — e.g., 'period' => ??? Let's consider: 'periodo' key might be converted into `start_date` and `end_date` by ChartFilterNormalizer normalize. In controller flow, they unset start/end after normalize if raw `periodo` missing. But ChartResolver separately gets filters (the original filters array, not yet normalized) and calls normalize itself, then unsets start/end if no `periodo`, no `start_date`, no `end_date` in RAW filters. If controller passes normalized filters (with start/end already present due to defaults) to ChartResolver, then ChartResolver receives filters with start_date/end_date and keeps them. Need to understand the controller → resolver call chain. This discrepancy could cause date filters to still be applied (causing empty data) if the resolver is invoked via a different path where the controller-level unset doesn't reach it. Conversely, if the same request passes through both the controller's normalization (with unset) and then resolver re-normalizes, formatting could differ. Wait — a more direct problem: in the controller, after `unset($filters['start_date'], $filters['end_date'])`, maybe downstream code (ChartResolver) expects a date range to compute something (e.g., "periodo" derived). But since both were touched to fix the same issue consistently, likely fine. But — a real consistency concern: the controller unsets only if `periodo` raw missing, while the JS in chart_detail.html.twig removes `currentFilters.periodo` as well as start/end; The ChartResolver check requires none of the three present. What if the user selected `start_date` only? ChartResolver keeps default end...? Eh, edge. Now — one interesting data-flow mismatch: ChartFilterNormalizer maps 'membro' → 'member_ids' and then sets `member_id` from `member_ids`. ChartResolver filters by member_id. MemberAnalysisService getChartData reads `filters['member_id']` or `filters['membro']` (an array!). Wait: ```php $memberId = $filters['member_id'] ?? $filters['membro'] ?? null; ``` If filters come from the normalizer, `membro` is NOT present (the keyMappings consumed 'membro' from raw and set member_ids). But how does the service receive `filters['membro']`? The filter array passed to the service — depends on callers. In chart_detail.html.twig, currentFilters.member_id gets set. Still fine. But after normalizer: `$normalized['member_id'] = (int) reset($normalized['member_ids']);`. `reset` on possibly invalid — `member_ids` if not empty; the preceding block does `if (!isset($normalized['member_id']) && !empty($normalized['member_ids']))`. OK. But careful: `member_ids` entries might be numeric strings; cast to int fine. Then in MemberAnalysisService: ```php $memberId = $filters['member_id'] ?? $filters['membro'] ?? null; if (!$memberId && !empty($filters['member_ids'])) { $memberId = reset($filters['member_ids']); } if (!$memberId) throw ... $filters['member_id'] = (int) $memberId; $filters['membro'] = [(int) $memberId]; ``` OK, the service could receive pre-normalized, and duplicated final filter keys perhaps redundant. Potential issue — `getChartData` throws InvalidArgumentException when no member; this could return a 500 since the controller probably catches it? unknown. More importantly: MemberAnalysisService now calls `$this->chartMetadata($chartId)` and merges into the result. But the chart keys — check names. 'chart-entregas-projeto' is listed, but the resolve chart list in getChartData match includes 'chart-entregas-projeto' => getDeliveriesByProject? etc. We can compare lists consistently: match list: - chart-linha-desempenho - chart-carga-produtividade - chart-tempo-atividade-membro - chart-entregas-projeto - chart-boxplot-equipe-membro - chart-scatter-prod-ausencia? Wait: ```php $chartData = match($chartId) { 'chart-linha-desempenho' => ..., 'chart-carga-produtividade' => ..., 'chart-tempo-atividade-membro' => ..., 'chart-entregas-projeto' => ..., 'chart-boxplot-equipe-membro' => ..., 'chart-scatter-prod-ausencia' => ..., default => throw ... }; ``` Metadata list: - chart-linha-desempenho - chart-carga-produtividade - chart-tempo-atividade-membro - chart-entregas-projeto - chart-boxplot-equipe-membro - chart-ranking-produtividade (!!) — not in match; wait the match includes 'chart-ranking-produtividade'? Let me re-read the diff: ``` $chartData = match($chartId) { 'chart-linha-desempenho' => $this->getPerformanceLine($memberId, $filters), 'chart-carga-produtividade' => $this->getWorkloadVsProductivity($memberId, $filters), 'chart-tempo-atividade-membro' => $this->getTimeByActivityType($memberId, $filters), 'chart-entregas-projeto' => $this->getDeliveriesByProject($memberId, $filters), 'chart-boxplot-equipe-membro' => $this->getTeamBoxplot(?)$memberId..., 'chart-scatter-prod-ausencia' => $this->getProductivityVsAbsenceScatter($memberId, $filters), default => throw ... ``` The diff shows only lines partially (omitted middle). The metadata match lists 'chart-ranking-produtividade' which may or may not be in the main match. We can't be sure; presumably it exists (ellipsis in diff). Don't over-index. But medium/low issue: `array_merge($this->chartMetadata($chartId), $chartData)` — merging numeric data structure: `$chartData` probably has keys like 'datasets', 'labels', 'categories'. `array_merge` with metadata at front renumbers numeric keys, but chart data keys are associative. Fine. Unless chartData includes numeric-keyed series data, array_merge would reindex at the top level — but top-level keys are named. OK. However — a subtle important issue: `array_merge` semantics could override: if the chartData contains key `title` or `type` keys internally (e.g., a chart-specific `type` for chart.js config?), then the metadata would override or be overridden depending on order. Because this is `array_merge($meta, $chartData)`, chartData wins for colliding keys. Might override metadata when a dataset legitimately has 'title' but that's probably intended as label. Eh. ### 3. ChartAiAnalysisService.php change ```php $aiPayload = [...] if ($this->hasInsufficientData($qualityFlags, $derivedMetrics)) { return $this->insufficientDataResponse($module, $chartId, $resolved, $aiPayload); } ``` Where is the check inserted? "after aiPayload composed" and before `callDeepSeek`. Key question: What about lines further below that compute `quality_flags`? Also, previously there may be similar checks for privacy (e.g., chart_meta privacy_min_group), which return their own fallback. Need context to ensure insufficient-datacheck's placement does not skip prior privacy fallback etc. We need file_read context. Potential issue: the early return triggers on `empty_data`, `missing_dimensions`, or empty derivedMetrics. But is this a behavior change that now blocks sending to AI when data empty? Previously, maybe "AI should say no data" — but deepseek call could have handled it. The change returns a success response with success true and ai_provider null. Consumers in JS check `json.success` and render `json.ai_analysis`; this contains the Insufficient Data analysis. Should be consistent. Also note: the controller probably computes `$qualityFlags`? Need to understand source of `qualityFlags`. Could be generated inside this method by inspecting payload data (after ChartResolver). If the member's chart previously returned "empty" — with these fixes data may exist. This auto-fallback might mask issues for other modules: any chart with empty data now shifts from "AI-generated generic response" to "insufficient data" template. OK behavior. But wait: A subtle correctness issue — `hasInsufficientData` returns true if `derivedMetrics` is empty. Derived metrics is an array assembled from datasets; if categories/series exist with all-zero values (all zeros are numeric), it should still count. But what if there is strictly one legend/category? `missing_dimensions` flag covers. All right. Potential security/privacy: adding chart_meta + chart_data to insufficient-data response might disclose data? It's the same data used elsewhere. Probably fine. Another more subtle issue: the early return is placed BEFORE `$this->callDeepSeek(...)`, but AFTER aiPayload composition. But is there a logging of the AI request? skipped. Also: `generated_at` format `c` - DateTime formats to `2026-09-04T12:01:00+00:00`. Fine. Now — timing of hasInsufficientData: The `qualityFlags` are derived from `$resolved`? and derivedMetrics already computed from chart data. If the derived chart is not empty, flags not triggered. OK. `insufficientDataResponse` returns charts and `ai_payload` to the client — does the normal response include `ai_payload` too? If so, consistent. But if `ai_payload` contains question + data; maybe exposes nothing new. ### 4. ChartDerivedMetricsCalculator.php ```php $seriesName = $dataset['name'] ?? $dataset['label'] ?? 'Série'; if (isset($metrics['series_metrics'][$seriesName])) { $seriesName .= ' ' . (count($metrics['series_metrics']) + 1); } ``` Wait — there is a subtle bug: suppose two datasets named 'Série'... first iteration, `series_metrics` is empty. Key 'Série' not set → name stays 'Série'; push to metrics. Second dataset also name 'Série' — key 'Série' set → rename to 'Série 2' (count+1 = 2). Good. But if there are three series, third dataset name 'Série 2'? unlikely. Hmm, but the naming uses dataset `label`? In Chart.js, `label` is typical property but their data uses `name`? Actually the datasets from server might supply both? Possibly name exists. But if dataset has explicit `name` that collides with an existing `label`-driven name... eh. More relevant issue: `series_names` uses `fn($s) => $s['name'] ?? $s['label'] ?? 'Série'`. Fine. But no collision handling in `series_names`? Well, `$series` collection is built in same loop, maintaining renamed names (since each seriesItem stores the possibly renamed `$seriesName` as its `name`?) Let's look — in the loop it continues ONLY if empty($values) — wait: ```php if (empty($values)) { continue; } ``` Hmm — if values empty, continue... Wait original code? In first foreach, they compute values and if none numeric skip? Actually shows: ```php foreach ($data['datasets'] ?? [] as $dataset) { $values = array_filter($dataset['data'] ?? [], 'is_numeric'); $seriesName = $dataset['name'] ?? $dataset['label'] ?? 'Série'; if (isset($metrics['series_metrics'][$seriesName])) { $seriesName .= ' ' . (count($metrics['series_metrics']) + 1); } if (empty($values)) { continue; } ... ``` So if empty values, it `continue`s BEFORE adding to series_metrics/series. But the `$seriesName` suffix check uses `$metrics['series_metrics']` which is added only when values not empty. So collision logic skip for empty datasets; fine. But wait — dataset #1 has values; seriesName 'ABC' added. Dataset #2 has empty data and name 'ABC' → isset true → rename to 'ABC 2' but then empty → continue. So series_metrics never gets 'ABC 2'. OK. Now — potential bug: `if (isset($metrics['series_metrics'][$seriesName]))` — but `$metrics['series_metrics']` presumably only initialized once at start of this function as `['total' => [], 'avg' => [], ...]`? Better to inspect surrounding context. The first mention implies `$metrics` has keys. Let me consider possibility: `$metrics['series_metrics'][$seriesName]` — the code earlier: `$metrics['series_metrics'][$seriesName] = ['total' => ..., 'avg' => ..., etc]`. Hmm, if series_metrics stores numeric sub-array keys (seriesMetrics list?) — isset check fine. But another subtle issue: `series_metrics` and `seriesBreakdown` separately coded duplication — user rules mention duplicated logic should be flagged. Indeed, after adding label fallback, duplicate logic between the two blocks is an opportunity; this is more of a maintainability low note. A real potential integrity bug: `$seriesName .= ' ' . (count($metrics['series_metrics']) + 1);` — count includes currently existing entries. If first series is renamed? no. Suppose two series with same fallback names 'Série', and third dataset with an actual different name 'ABC': names are Série, Série 2, ABC. fine. But note: `seriesBreakdown` is a separate array reusing similar rename count logic but on `$seriesBreakdown`, and keys may diverge from the `series` order? Provided series names consistent. Now, code duplication in the two loops: the loop at line 126 building series array via `array_map(fn($s) => $s['name'] ?? $s['label'] ?? 'Série', $series)`— Wait but `$series` structure: earlier code stores `$series[] = ['name' => $seriesName, 'data' => ...]`? We need to inspect the file to see structure. There may be more relevant. ### 5. ChartFilterNormalizer.php New mapping and a `member_id` fallback: ```php $normalized['member_id'] = (int) reset($normalized['member_ids']); foreach (['memberId', 'company_member_id', 'companyMemberId', 'selected_member_id'] as $memberKey) { if (!isset($normalized['member_id']) && isset($filters[$memberKey]) && is_numeric($filters[$memberKey])) { $normalized['member_id'] = (int) $filters[$memberKey]; } } ``` Potential issues: - `reset($normalized['member_ids'])` inside `if (!empty(...))`. Note normalizer's 'members'/'member' may also map to 'member_ids'; if member_ids includes several members — member_id picks first. - The keys 'companyMemberId', 'memberId', etc. are camelCase copies of other mapped keys? The keyMappings earlier mapping does not include memberId; loops cover. But if 'member' filter (array) provided along with memberId... first condition normalizes member_ids then fills member_id. Also should preserve both? `member_id` and `member_ids` present in normalized filters; passing member_ids to queries that interpret multiple might create interplay. Also not flagging `(int)` casting of invalid value: guarded by is_numeric. One thing to examine in Normalizer: for `analise_de_membro` module, 'membro' may come as scalar int or array. keyMappings convert 'membro'->'member_ids'. Then `member_ids` array created but the value is expected to be array; if UI sent `membro: 5` scalar, the mapping might wrap? Need original normalization before the added code — perhaps mapped value in code lines above, need context. ### 6. ChartResolver.php ```php if ($module === 'analise_de_membro' && !isset($filters['periodo']) && !isset($filters['start_date']) && !isset($filters['end_date'])) { unset($normalizedFilters['start_date'], $normalizedFilters['end_date']); } ``` This mirrors controller but note the criteria mismatch discussed: controller unsets start/end when 'periodo' missing (even if the raw payload explicitly sent start_date/end_date keys). Resolver keeps them if raw filters contain start_date/end_date — but does the controller pass the *raw* filters or *normalized* to resolver? Controller unsets normalized start_date if raw periodo isn't set; then presumably calls the analysis service with these normalized filters. The resolver normalizes again. Normalize default sets start/end? Better to read the actual flow — there are two possible routes that call Resolver: 1. From ApiController ai-analysis: the controller partially normalizes and then service call → ChartResolver::resolve(module, chartId, filters) with normalized filter arrays. 2. From other code paths (chart data endpoint?) to load chart data only. If controller passes filters minus start/end to ChartResolver, and ChartResolver normalization re-adds start/end when period missing? We must see code. The filters normalizer may add a default period if key absent? Probably not: The normalizer "normalizes 'periodo' to start/end" maybe with default month? If it auto-applies default start/end dates, the chart would keep sending an AI payload with default dates that overwrite member's data... I need more context around ChartFilterNormalizer::normalize and how default date ranges get applied (maybe in the actual per-chart data service when 'periodo' missing). This is central to the bug fix scenario. ### 7. chart_detail.html.twig ```js {% if module == 'analise_de_membro' %} var urlParams = new URLSearchParams(window.location.search); var hasExplicitPeriod = urlParams.has('periodo') || urlParams.has('start_date') || urlParams.has('end_date'); if (!hasExplicitPeriod) { delete currentFilters.periodo; delete currentFilters.start_date; delete currentFilters.end_date; } var memberId = urlParams.get('member_id') || urlParams.get('membro'); if (memberId) { currentFilters.member_id = memberId; } {% endif %} ``` Potential issues: - Duplicate logic across controller & twig — no single source of truth. The front decides "no period → filter no dates" while API also unsets; duplicated rules can diverge (already diverge). - `member_id` from URL param, injected unvalidated to currentFilters — sent to backend which normalizes ((int)). server should validate that member belongs to accessible scope — that's on service; likely getChartData filters by member; but must ensure the authorized member list boundaries. - The change also means that `chart_detail.html.twig` for module analise_de_membro deletes period filters that may have been filled from `window.PeopleAnalyticsPermission.autoFilters`. Good. - Note that member with no explicit period will lose dates; but chart methods maybe require date range (chart data functions default to period) — without them, they probably default in backend. Since MemberAnalysis per-chart methods use e.g., 'start_date' etc. In the original code, the date filters defaulted to current month is what made the chart show as empty default. Fine. Potential mismatch: In the template, hasExplicitPeriod is decided purely from URL params, but if the user changes the period via the page (interactive filter) without changing the URL (so start_date not in URL), the logic deletes the chosen period filters and requests an unexpected period. But where is period chosen? "Some modules use global filters" — if on the member page period picker isn't implemented -> fine; but if there is any in-page mechanism, this might wipe user selection. Possibly low. ### 8. adriana-chart-analysis.js centralization and produtividade dashboard removed code This is a shared module new in JS; the other files (produtividade-dashboard.js) removed duplicated logic and now use shared bind presumably. Since produtividade-dashboard.js is not in review group but we can still note that the new file must preserve the contracts used by the removed code — need file_read for the dashboard code to check bind usage consistency (chartMap constructed correctly; selectors). Also chart_detail.html.twig still contains old code? The template still has its own AI analysis call (fetch/$.ajax). It's in the same review group — but wait — the diff to chart_detail only adds the member/filter logic; the rest existing code remains there. Compare the duplicated on each chart page. Hmm. ### 9. Question format mismatch The adriana JS default question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.' In PHP default question is 'Explique os principais insights e pontos de atenção'. Fine as defaults; but the payload `question` may contain instructions for structured output fields that are expected (key_insights, projections...). The prompt template in ChartAiAnalysisService likely instructs the model to return exactly these keys, regardless. Since `question` is appended to the same prompt, fine. But: the `ai_analysis` response fields consumed by `renderAnalysis` — key_insights, projections, attention_points, recommended_actions, limitations — matches insufficient-data fallback keys. But the previous UI (chart_detail template) may expect a different structure? The new JS uses the new structure. The twig still uses its own — need to check if they follow same shape. Also confirm that the AI analysis service's successful response includes ai_analysis with these list keys; when model returns nested keys? Since it does prompt to return JSON with these keys, OK. ### 10. Multi-tenant: member_id trust + module allowlist Member id used to fetch data for the member's charts. `MemberAnalysisService` should scope by the current company/permission — existing getChartData presumably filters by member ids allowed. But `member_id` might come URL param. Actually chart_detail page belongs to a member page presumably; URL member accessible. The back-end must still verify the member belongs to logged user's company — inspect the service's data methods? Already existing code paths likely use authorization context. We cannot check now; we can make a plan item for verifying company isolation when member_id comes from request/query (especially the URL-driven param in template). Use file_read to inspect MemberAnalysisService methods to see if they scope by member id only or company. ### 11. Empty Data return path: Should `success` remain true? The UI in adriana module promises ai_analysis. And insufficient-data fallback returns code duplication (chart data, ai_payload). Fine. ### 12. ChartAiAnalysisService::insufficientDataResponse includes `$aiPayload`, which may include resolved chart data. Data in response and AI requests — previously they might skip AI call but the response was constructed. OK. Potential subtle: `hasInsufficientData` is used even for normal module with aggregate privacy filters. If chart data masked due to privacy (quality_flags include something like privacy flags)? not included here — `empty_data` flags might be raised when privacy masking hides data (e.g., min group size) — wait: If the data was masked due to privacy (small group), quality flags could include 'privacy' logic elsewhere? The earlier code order: There's a mention of "Resposta fallback para casos de privacidade" existing after `callDeepSeek`? Actually there's a large `$this->privacyResponse` fallback? The diff context shows method comment near the end "Resposta fallback para casos de privacidade" — so model fallback presumably invoked before `callDeepSeek` too? Hard to know. If the flow previously first checked privacy fallback, then our early return could preempt privacy logic since placed right after payload; need to check preceding code lines near insertion (line ~87) and ensure ordering. That's a medium item worth reading file context. Important: insufficient data response for **member analysis legitimately having zero data** is OK as fallback, but note: Data now returns "no data" for member's charts where previously AI got a placeholder possibly generic response. Behavior change to the client — presumably ok because twig template receives shape? But there's an inconsistency: If empty data triggers AI skipping, the question: Should "empty_data" quality flag exist even when chart had labels with zero values? If so the earlier default period noise is rectified. That's main fix. Let me also consider "member analysis query empty under default date range": after removing date defaults, getChartData methods might return data for all-time. Then derivedMetrics non-empty => AI proceeds. ok. Potential PHP 8 match allowed. Yes, with Arrow function `fn($s) => $s['name'] ...` PHP 7.4+. uses `array_filter($array, 'is_numeric')` — internal function callables as string OK (no ['...', 'method'] with string? using string callback for internal function is fine). ### 13. Type juggling / Missing keys for `membro` returned as null. Wait — the most concrete issue with MemberAnalysisService: ```php $memberId = $filters['member_id'] ?? $filters['membro'] ?? null; ``` If normalizer produced `membro`? No filtering loop keeps `member` keys? The normalizer stores only normalized key; the membership check appended code `if (!isset($normalized[$key]) && !in_array($key,...keyMappings))` copies unknown raw keys... Actually since `membro` is in keyMappings, not copied. But original `$filters` passed to getChartData might be raw when called from elsewhere. Either pattern proceeds. Second detail: `$filters['membro'] = [(int) $memberId];` — membro is array; then in the normalizer, mapping 'membro' → 'member_ids' to ensure in later uses. But getChartData might be called when chart resolver will later normalize filters again? Possibly for nested chart build, these filters sent again. Good. Third: getChartData first unescapes "member_ids is not array": `if (!$memberId && !empty($filters['member_ids'])) $memberId = reset($filters['member_ids']);` If 'member_ids' contains string? fine. ### 14. Analyze more js concerns in the new module - Global `window.setButtonLoading` optional fallback. If shared function exists but has different signature (maybe it expects third param?), It is referenced but may be in other module loaded later. Fine. - Preserve dataset attribute storing original text. - The selector default `.pa-prod-analysis[data-analysis]`: click toggles each button. If user clicks multiple buttons before response, panel per key. - `getOrCreatePanel` attaches panel to `.pa-prod-card` matched by `button.closest('.pa-prod-card')` — if chart markup uses different wrapper class `.pa-prod-card`? In the dashboard's buttons; presumably old markup selectors still match. New bind API consumers need correct chartMap. - During multiple rapid requests the button request double AJAX? Bound '1' prevents rebinding. - XSS: `renderError` interpolation with body escaped. - The disabled state: `setButtonLoading(button, true)` — the global `setButtonLoading` may hide / replace spinner; then errors — finally resets. - missing `data-analysis-panel` cleanup between errors: renderAnalysis & renderError both replace; if panel string created. Now main function names; in module, `bind` from PeopleAnalytics.AdrianaChartAnalysis probably used globally by the other modules not in review group but they bind `new` code calling `bind({ module: 'produtividade', chartMap: {...}, selector: ...})`. However — In produtividade dashboard, an in-view charts; panel gets inserted inside card but when filter changes and chart refreshes, panel remains stale, showing old analysis with new chart data. A stale-analysis issue; was similar previously. low. ### Tool planning I need to propose tools in the plan not call them — but "available tools are for reference only — do not call". Provide planned tool calls. Wait! Let me re-read instructions: "Tools are for reference purposes only and must not be actually invoked; describe the calling intent on the → lines". Great, we just list plans with intended args. ### Ordering and constructing issues We need to output plan in Portuguese, starting Summary, Issues with severity; sorted desc; numbered. Also include description triple dimension & purpose for each planned tool. Let me decide the central issues with priority: Potential candidates: High: 1. jQuery `Deferred` `.finally()` не supported → loading stuck/TypeError - is this high/mid? It would break the loading state and possibly produce uncaught error in console, but the analysis rendering continues? Since TypeError thrown at click-time after chain setup partial — actually `.catch(error => ...)` registered; the AJAX proceeds. When done callbacks into chain run, then/catch handled, .finally(...) argument never even executed — the TypeError thrown after registering catch, so the loading state is never reset. Actually when does the TypeError get thrown relative to the request resolution? It throws immediately when click handler runs line `).finally(...)` — precisely after registering handlers. State: Button already set to loading; error handler registered; but reset in finally never registered. If the error occurs (catch executes), renderError shown but the button remains disabled 'is-loading' with text? Wait `setButtonLoading(button, true)` before request, and finally would reset both. Without finally: stuck. For successful analysis, same. So all analysis buttons that use this shared module would be stuck/loading, i.e., major navigation regression. If TRUE: high severity, In success case? Let's walk jQuery 3.7 promise behavior if finally even undefined... TypeError thrown; handlers registered (then/catch) though; so after response, the panel updates, but button remains is-loading — disabled forever. This makes entire feature broken. High. Need verify: Does the project use a promise polyfill / jQuery version with finally? Since jQuery Deferred lacks finally until ? — hold on — maybe they're not using jQuery promises! In requestAnalysis they return `new Promise((resolve, reject) => { $.ajax({...})...})` — They wrap `$.ajax` in a NATIVE Promise. Yes! They create their own native `Promise` (ES6) around jQuery.ajax; inside of it they call the `$.ajax` methods only to accept result. So the returned value is a native Promise, whose `.finally` is native. Right, they wrap. So no jQuery deferred `.finally` issue. Great catch — so I shouldn't flag that. But they call `$.ajax(...).done(...).fail(...)` inside executors; the jQuery promise just triggers; rejection by reject function — no unhandled? OK. So earlier concern canceled. Also use `.catch` on native. Fine. But note: Any failure of both; if ajax `.done` not called because maybe parse error -> .fail handles. ok. 2. Main high candidate — endpoint URL now module + chartId; confirm module allowlist prevents SSRF/insecure backend routing and referencing other company member data: In JavaScript new shared module uses module variable? The module value of bind config: comes from module in JS dynamic modules. Could an attacker trigger method call with arbitrary module names via UI data attributes? — they'd have to be in code. Server-side controller must have an allowlist of modules (likely via match). We need to review & find within context. Perhaps not necessary. Let me instead aim at real logic problems: **High A — Inconsistent date filter unset preserves explicit user-selected range in controller but removes raw start/end when 'periodo' missing.** Actually break down scenario: - Member analysis front end now *deletes* start/end/period filters from currentFilters when the URL lacks an explicit period. Controller receives `filters: {}` or `{member_id: x}`. In the controller, raw filters lacks 'periodo', so after normalization (filterNormalizer->normalize) — if normalization introduced default date range keys into filters (e.g., 'periodo' → default)? Let's trace chart data methods: the chart data getters probably expect filters['periodo'] set to something, maybe they themselves compute on start_date/end_date missing (using e.g., last 12 months default). If normalizer added default current period when filter omitted (can't tell), then unsetting "start_date/end_date" avoids narrowing the member's data to an arbitrary period. That's precisely the fix. - But now consider ChartResolver path: controller may call this service; then resolver's normalize gets the same raw filters (not the normalized)... If we don't know actual call chain then tools. I think the safe finding list: Issue 1: `MemberAnalysisService::getChartData` now merges metadata + data, but `getChartData` array_merge can overwrite/reset? Use file read to check what data arrays keys exist to ensure no numeric collisions in data sets under keys labeled numeric? Low. Instead, let's recompute concrete issues: **(i)** In PeopleAnalyticsApiController: the unsets only when raw `periodo` absent, but NOT when raw `start_date`/`end_date` are present. So if the dashboard actually sends explicit `start_date`/`end_date` no `periodo` (which is the express case removed in twig for module with no url), then backend will still have start/end (because raw filters didn't include 'start_date'...?). Wait; if the raw had start_date/end_date (i.e., user explicit date range chosen), then controller condition `!isset($rawFilters['periodo'])` true => drop start/end — but a real explicit range shouldn't be dropped. The condition doesn't distinguish an *explicit* date range from *auto-added* default start/end because those appear as start_date/end_date, not 'periodo'. Conversely, ChartResolver's condition checks whether explicit date range keys present; if explicit, it doesn't unset. So controller and resolver logic DIFFER; the Controller will delete user-selected date ranges even when the user chose specific dates, whereas these should only delete default-injected date ranges. So this could cause the analysis to ignore a user-selected range, analyzing full history instead. Impact medium-high (functional; wrong result / data range mismatch with the chart on screen — analyses may not correspond to chart displayed). Actually think - In the module analise_de_membro, when there IS period selector, the user can change periods. URL may or may not update (if period picker only stores in JS memory; e.g. through PeopleAnalyticsPermission autoFilters default). The front condition uses URL presence; if URL unchanged after picker change, filter dropped too. So overall correlation between controller condition, resolver condition, and template may produce mismatches causing an AI answer about a different date range than chart shows, a genuine correctness issue about filters the chart had. That is medium-high: chart data resolution normalizes to default period; however maybe for analise_de_membro removal means chart endpoint receives full history and user-selected das dates are discarded. Whenever an explicit member periodizer later added there is confusion. Hmm become clear in review: need to verify chart resolver, data methods. To produce plan w/o knowing results: produce issue with risk classification medium and describe verify steps with file reads/codeline search. **High example**: Data methods might still use the `start_date` filter elsewhere, so after the unset, the query to `getWorkloadVsProductivity` may produce huge all-time data or crash? Need service internals read. Other certain issue candidates: **(ii)** Member id normalization duplicated between ChartFilterNormalizer and MemberAnalysisService; `$filters['membro'] = [(int) $memberId];` note member_id arrays from normalizer likely with strings ('123'); int cast ok. **(iii)** ChartFilterNormalizer: ```php foreach (['memberId', 'company_member_id', 'companyMemberId', 'selected_member_id'] as $memberKey) { if (!isset($normalized['member_id']) && isset($filters[$memberKey]) && is_numeric($filters[$memberKey])) { ``` If `filters[$memberKey]` is empty string '' (from UI blank) → is_numeric('') false → skip fine. But if member key is array? e.g., if front sends `members: "10,11"` — maps to member_ids? if the mapping wraps as [implode?]. Eh. Now — special noteworthy: normalizer maps 'member' => 'member_ids'. If the raw filter sends member_id as text? also duplicated. **(iv)** Once member_id existing in raw filters as string 'abc' gets ignored; member charts require a valid member; service then throws missing id; The API module then likely handles exceptions with error? Existing. **(v)** Insufficient data early-return excludes charts that have categories but all zero-valued or with NaN? all zeros still non-empty. it's empty_data flag from data validator defined. OK. **(vi)** The controller API unsets start_date/end_date AFTER normalize but possibly BEFORE additional context user etc. So deepseek payload excludes default date, good. **(vii)** The template change deletes `currentFilters.periodo/start_date/end_date` only if no URL param. However, other modules getFilters on new Adriana helper ask `options.getFilters` — for production dashboard they probably return filters, including `periodo`, but module='produtividade' not subject to the controller unset. OK. **(viii)** Duplication: chart date filtering rule now spans three files (template JS, controller, resolver) with slightly different conditions — maintenance/divergence risk; suggest centralizing in FilterNormalizer or backend only — Medium/Low. Plenty legitimate as user checklist first priority: duplicated logic must be centralized. Say the source of truth should be the backend normalizer; the current spread across layers can diverge and already does (controller vs resolver conditions mismatch); recommend single place and remove template adjustments. **(ix)** Controller receives question from client and builds LLM prompt – prompt injection surface exists, but this is probably already assumed. LLM injecting data → XSS protected in JS; the AI content rendered via escape; safe. **(x)** Some injection possibility: `encodeURIComponent(module)` and `chartId` URL; chartId maybe from data-analysis attribute. fine. **(xi)** Authorization/scope: The ai-analysis endpoint for analise_de_membro with arbitrary member_id from URL: the Backend must verify allowed collaborators for the user's company. Since member id comes via query param in template and then into payload (`currentFilters.member_id`) this relies on data method scoping by company. Verify in code (code_search `getChartData(` & service queries for company). We must confirm no IDOR. Possibly high if not (the URL is under /people-analytics so user has access; but to which members? People analytics of a specific member accessible only if permission). This endpoint AI analyses maybe under permission already checked by controller `$this->userContext->...`? plan verify file_read of controller to see route permission checks. **(xii)** `MemberAnalysisService::getChartData` adds a new behavior: returns the chart metadata *merged* into data; Two callers might break assumptions: an existing consumer of getChartData (via ChartResolver data flow) expecting raw only now receives extra keys `title`, `type` etc. Since the JSON returns chart_data to UI, charts with chart-specific 'type' internal key might be overwritten/conflict? The keys 'title','type' — chart.js datasets don't have title/type at top-level datasets? top-level config might already have 'type'. If data funcs return 'datasets' & 'labels' plus also 'type' internal? merging with metadata at first, chartData 'type' (if present) wins because the data-side comes second; metadata could be missing. But if chartData not have, then added 'type'. that's intended. **(xiii)** In MemberAnalysisService the new metadata loses type "donut"? for tempo-atividade because method already returns 'type'? unknown. Other possible bigger issue: array_merge reindexes any integer keys in the ChartDataset arrays (if `$chartData` includes e.g. `["datasets" => [0 => [...], 1 => [...]]]`: array_merge only at root level reindexes root numeric keys, not nested. Root is 'datasets'; nested datasets numeric keys untouched. fine. **(xiv)** ChartDerivedMetricsCalculator: deduping based on `$metrics['series_metrics']` — check key metric set is metric-specific? Suppose series_metrics uses data values arrays etc, but series names must be identified; wait `isset($metrics['series_metrics'][$seriesName])` — that tests whether we previously created stats entries for SAME series name. But at that moment, `$metrics['series_metrics'][$seriesName]` likely is a nested array belonging to derivedMetrics; The check can falsely trigger when the same value was set but dataset additional values appended? Reading lines: Presumably the code does: ```php foreach ($data['datasets'] ?? [] as $dataset) { $values = ...; $seriesName = ...; if (isset($metrics['series_metrics'][$seriesName])) { $seriesName .= ... ; } if (empty($values)) continue; $metrics['totals'] += ... $metrics['series_metrics'][$seriesName] = [...] $series[] = ['name' => $seriesName, 'data' => ...]; } ``` Yes fine. Second dedupe in the final loop: ```php foreach ($series as $seriesItem) { $seriesName = $seriesItem['name'] ?? $seriesItem['label'] ?? 'Série'; if (isset($seriesBreakdown[$seriesName])) { $seriesName .= ' ' . (count($seriesBreakdown) + 1); } ``` Also renaming again for the breakdown. Since earlier normalized, keys not duplicate normally. No issue. But the series object may have 'label' only and not 'name'; first loop ensured `$series[] = [ 'name' => $seriesName (renamed), 'data' => array_values]`. If the series object from the chart contains both `name` and `label`, final code picks `$seriesItem['name'] ??...`: If name is set — matches. good. Wait order relevance: If a duplicate series name arises: Earlier in same loop, the dedupe occurs based on series_metrics content being added as they loop; e.g., three series with names "A", "A", "A": result metrics keys "A", "A 2", "A 3"? For the third A (current count 2 => suffix 3) — yes. But duplicate fallback label: e.g., first: name missing, label missing ('Série'); and dedupe based on 'Série' key exists? no. Next two: Because in the earlier `foreach`, after `if (empty($values)) continue;`, dataset 1 values etc. fine. What about behavior change? Prior behavior appended metrics for equally named series overwrote? probably bug fixed. **(xv)** Security — XSS in escapeHtml handles plain text; but `analysis.title` could contain embedded markup intentionally? escaped. **(xvi)** Under async duplicate click after panel appended but while request in-flight ignore further; Since bound is set only once; clicked buttons still active (loading disables true); some code disable handles. Now review fields requiring tools: Proposed plan should be structured but with desired tools calls. Not too many issues; around 6-8 approx. We can organize final plan: 1. [high] Duplicated/uncoordinated date-filter cleanup logic diverges between controller, resolver and template and causes: explicit user-selected ranges for anale member to be dropped; In template, cases where `filters` autoFilters may include period not in URL are discarded anyway; each endpoint in chain sees different removal criteria, so analysis may ignore the date range the user is looking at. Need tool verify e.g.: - file_read PeopleAnalyticsApiController (full context near function to see how filters flow into ChartResolver/service) - file_read ChartResolver lines context - file_read chart_detail section? That's in diff already, but need look near `endpoint` fetch to see how filters are posted and where changes branch applies only for modules. Hmm. 2. [high] API no CSRF? Need verifying controller route annotations use `is_granted` & CSRF; CORS/header... The AJAX mutating? It only invokes analysis and does not change data; CSRF probably optional. Actually state-changing? triggers external paid API. No persistent state. We might rank lower: medium (costs in AI API per forged request; CSRF absence). If session cookie auth, CSRF applies only for state changes; but this endpoint maybe GET-like. I'd note medium? Nonetheless proper server-side auth exists. Decide medium/low. 3. [high/medium] Insufficient data early-return position possibly skips privacy fallback; verify ordering in AI service around line 60–110 & existing privacy response; also ensure `hasInsufficientData` flags mean no data for member but not when data suppressed due to group/privacy: if privacy masking triggers quality 'empty_data' due to hidden cells, users might get misleading "no data for member" instead of "hidden due to privacy" response, a UX/regression. 4. [medium] `.finally` not an issue. skip. 5. [medium] Member-id inference: `$normalized['member_id'] = (int) reset($normalized['member_ids']);` picks first member from multi-selection; analyzer for single-member module silences possible ambiguity. If multiple member_ids passed (list where cohort/dashboard selecting members for aggregates)... For member analytics one member must be primary; choosing first silently instead of error could return wrong person's analysis if UI ever sends all filters (member list) — medium. 6. [medium] In chart_detail twig: reusing URL `member_id` but URL might contain stale member id (e.g., permalink from other view?) Actually they now always override the current filter member with whichever URL param — if any. If page URL has member_id X, chart detail about member Y? presumably title consistent. low. 7. [medium] `MemberAnalysisService` duplicated filter normalization and backend-side trust: member ids from request are used; confirm server-side check of member belonging to current company; else IDOR — someone can request ai analysis of any member if they know id (cost + data leak). tool: file_read MemberAnalysisService methods getPerformanceLine and permission usage near userContext. 8. [medium] Insufficient-data early-return modifies existing outputs for all modules: previously whatever empty fallback? Wait before change, response for empty data probably still called DeepSeek with empty payLoad but now skips AI => faster and cheaper. But this may change json structure from model shape to template shape consistent? Existing UI must handle. Both same ai_analysis structure? template earlier in chart_detail existing code referenced data.ai_analysis with fields maybe. Colors. Let's read diff carefully to see potential unknown keys difference? Good? Default text same shape. 9. [low] JSDoc comment about shared helper duplicated UI; long files and god template issue — chart_detail template already includes inline script. 10. [low] `array_merge` and metadata duplication plus chart-specific code duplicates map for match keys in MemberAnalysisService (two match expressions, must be kept in sync); if new chart id introduced in one will throw or metadata mismatch; low maintainability. Also review-important issue category: Cross-cutting: fallback `insufficientDataResponse` includes `chat_data` and resolves and returns chart data, but note that responses — check if keys 'ai_provider' null conflicts later. Let's decide final issue set (7 max, focused): ID 1 (High): Duplicidade e divergência: Three spots for "member analysis date cleanup rule," controller vs resolver differ in condition, plus twin JS. Controller unsets explicit user date ranges while resolver's keeps if explicit raw filters exist. Risk: AI conclusion off from shown chart's date range or default all-history; hard to maintain. Tools: file_read of controller & ChartResolver & chart_detail (twig) and search calls. Given user rules: Duplicate logic & god objects are top weight — definitely flag. ID 2 (High): Definição/inferência de `member_id` vs `membro`, trust boundaries? plus possibility single/multi mismatch. hmm. Might be medium. ID 3 (Medium) — insufficient data response skips the privacy fallback by ordering. But no direct proof. tool calls to context. Let's reframe: - High: In MemberAnalysis charts requested directly through a data endpoint (not ai-analysis) the filters from ChartResolver? no. Actually we haven't seen files, so each risk requires verification tools. Because our output is a review plan, not full findings; we can list suspicions with medium and appropriate tooling, but keep risk levels specific. The required output format expects "risk points with severity and description, each with planned tool usage." So each issue can be a candidate. It's acceptable that we plan the "issue" with "verify". Severity should reflect the impact assuming plausible. I also should consider hidden actual line impact: Let's more carefully check scenario that likely introduces real bug: the Twig change is limited: ```js {% if module == 'analise_de_membro' %} var urlParams... var hasExplicitPeriod = ...; if (!hasExplicitPeriod) { delete currentFilters.periodo; delete currentFilters.start_date; delete currentFilters.end_date; } ... ``` Where is module variable value: `module` probably 'analise_de_membro' indeed. It deletes from currentFilters all date keys. But request will then call new service which defaults? Also - Wait: In that block `currentFilters.member_id = memberId` if URL has member_id — BUT other code likely already added filters in `window.PeopleAnalyticsPermission.autoFilters` including 'member_ids' with all accessible members to scope? reset to a single member okay. Now Controller condition uses raw filter parameter on `analise_de_membro`. But another big realization: In the template code, module section runs only when module is analise_de_membro, but backend condition also restricts to the module; Member chart methods may be inside code path which includes multiple route endpoints for dataset/chart-data fetch later any default dates removed. Both okay. One real contract/edge case bug in the controller: ```php if ($module === 'analise_de_membro' && !isset($rawFilters['periodo'])) { unset($filters['start_date'], $filters['end_date']); } ``` Suppose `rawFilters['periodo']` is literally key from UI empty string ''? `!isset` returns false if set (even ''). Meaning in the template, `.filter` after process, `periodo` might not be removed (no URL period) front delete keys anyway. If UI always sends 'periodo' = '' for default? then controller wouldn't unset but template did remove start/end yet it left `periodo: ''` set? In JS when URL no period: delete currentFilters.periodo as well. so it goes with no keys. but when template breaks; normalizer may default? we can still propose verifying with code. I also pay attention OCR context rules for controller: "God object accumulated..." PeopleAnalyticsApiController diff +12 — not huge; but public module code centralization reduces duplicate server? file maybe large. Let's think through hidden `.match` existence of getDeliveriesByProject. OK, formulate six issues: 1. (high) Divergent date filter-removal logic duplicated in JS template, controller, resolver; current condition differences produce inconsistent: user explicit date selection or difference of URL param; means chart/AI window mismatch or override by all-time data, not necessary to the fix; suggest backend only true source and one condition. - Tools: file_read_diff full PeopleAnalyticsApiController to see it calls resolver/service; code_search on endpoint flow; file_read ChartFilterNormalizer around line default periods; file_read of old dashboard js? 2. (high or medium) — scope member id retrieval & permission: new code broadens which keys are accepted as `member_id` (`membro`, memberId, company_member_id, companyMemberId, selected_member_id) and sets member id from first item array; server-side validation/company id scoping must be verified for each new accepted key (IDOR risk/wrong member). Because URLs or multi-valued non-empty array from other modules can carry unexpected; existing member-specific authorization might rely on the exact key? e.g., if data layer only respects company scoping through member id, adding keys not scoped could route to an invalid member. use code_search in MemberAnalysisService methods and `PeopleAnalyticsApiController` for permission checks. severity medium-high: choose high only if data methods directly query by ID without company filtering. likely methods fetch with member ids and company join maybe. Put medium-high unknown => mark medium maybe. But plan claims issue not final? The issue text could be wording: "possibilité de análise de membro sem escopo de empresa" with check tool. 3. (medium) — `insufficientDataResponse` fallback can mask privacy fallback depending order; check existing privacy handling and all modules. `hasInsufficientData` placed immediately before AI call, possibly after an earlier privacy early return? Need file_read original region to know; if privacy fallback after this new function maybe new check can preempt it when group size below threshold yields `missing_dimensions` or empty data while actual cause is privacy, giving misleading "sem dados" instead of "dados ocultos por privacidade". Check quality_flags definitions. 4. (medium) — Numeric/type edge in ChartFilterNormalizer: `member_ids` may contain e.g., null/empty entries; `reset` returns false; but inside `!empty` only. Also `member_id` from several string keys such as `'0'`: `empty()` false for '0'? We check earlier & set. Normalize int when `is_numeric`. Good, another aspect: if `membro` non-empty array comes as [''] filtering yields none and member missing -> throws InvalidArgument 500? Determine how controller handles exception. Might otherwise be server 500 not 4xx; medium. Hmm I have limited context; better articulate verifiable. 5. (medium/low) array_merge in MemberAnalysisService & metadata duplication separate match expressions (risco of synchronism); chart methods merging with metadata can override each other's keys such as datasets? An array_merge of meta first then chartData; If any top-level numeric-keyed arrays get reindexed, potential shifts when data arrays contain numeric keys not association (e.g., lists). The chart data probably categories array, `array_merge($meta, $chartData)` won't reindex nested data but if $this returns e.g. `['labels' => [...], 'datasets' => ..., 'series' => [...]]`. yes fine. Could say low maintainability. 6. (medium) No CSRF on the new AJAX helper? Existing produtividade dashboard may already POST similarly. But controller probably not csrf token because API uses same session & maybe Accept JSON? Symfony's CSRF not auto; Typically their ajax functions send headers with xsrf token? We should flag if code submits without. Tools: file diff of PeopleAnalyticsApiController full checks for `isCsrfTokenValid` or existing route uses. We'll plan code_search 'isCsrfTokenValid' in controller & compare to old dashboard ajax. I'll low-to-medium since no mutation. 7. (medium) XSS/HTML injection — seems properly escaped. Don't invent. Instead note evaluate; already fine, skip. 8. (medium) - Duplicate code in produtividade removed and centralized; existing prod dashboard bind shift each chart — need check contract between bind and old markup & global `setButtonLoading` exists... tool: file_read produtividade-dashboard.js changes for usage now: since outside files modified not in group but we may read to verify contract for new shared helper expected chartMap & question selectors and that setButtonLoading signature exists; otherwise high regression. Actually "other changed files not in review group": produtividade. Yet given new helper is consumed by them, verifying must be via file_read (review instruction says other changed context may be consulted with this exact tool indeed). We can point a tool call but issue is in group? The helper must be consistent. I'll include as an issue 8 medium: verify compatibility with removed code on produtividade dashboard: chartMap mapping keys and data-analysis attributes, question function getQuestion, and global helper? if an mismatch (e.g., old markup used `data-analysis="..."` with button `.pa-prod-analysis__label`, card class same) causing buttons to fail in produtividade module. Also if produtividade passes `getFilters` returning default date etc. 9. (low) .finally of native Promise fine. 10. In renderAnalysis, keys projections maybe AI returns array. 11. if chartId from chartMap undefined -> Insufficient data message; OK. Now sum numbers perhaps 6 issues, sorted. We need perhaps combine issue 5 low into duplication theme but stronger: In MemberAnalysis 'getChartData' now calls `array_merge($this->chartMetadata(), $chartData)`; metadata 'title/type' could override? order chartData last so metadata keys override only chart defaults no. Wait array_merge semantics second overrides first. so if data has `'title'` key (existing chart data definitions?) then chartData title overrides our metadata; if it doesn't, extra metadata included. Chart list in template may rely on chart datasets as-is, unaffected. Nonetheless for chart endpoints whose payload in repository contains `type` (a 'chartType')? could collide. Let this be low. Also check code duplication in ChartDerivedMetricsCalculator for dedup of series name two same series; good but dedupe to rename second uses count, key after second addition count works. We should be mindful to craft main issue language per user comment rules: start with impact sentence Portuguese and simple phrasing first. E.g.: Issue 1: "A análise individual pode responder sobre um período diferente do que está sendo exibido no gráfico..." Then after mention location names. Let's draft. Let me include planned tool invocations with arguments: Issue 1 (high) example to plan: - file_read_diff src/Controller/PeopleAnalyticsApiController.php & src/Service/PeopleAnalytics/Chart/ChartResolver.php (diff covers full pieces maybe) — to see how filters after unset are passed: chart resolver & subsequent calls and determine both bodies in same chain. - file_read templates/people_analytics/chart_detail.html.twig around snippet? We know region – but use code_search 'hasExplicitPeriod' to see following request code to verify the network payload merging URL params filters. and other branches. - code_search 'start_date|periodo' within src/Service/PeopleAnalytics to see all uses to see default periods set later. Also mention risk if explicit date present & controller discards: Issue 2 (high? medium): - file_read whole MemberAnalysisService and chart data sql sections to check every new member id alias ended scoped by company and authorized group. - code_search member_id in that file; also code search 'company_id' around queries. Maybe issue "backend scoping of member id": severity high? OCR mentions "isolamento por empresa". If this fix might allow it, set high because data leak of member metrics. But need confidence be verified. Issue 3 (medium): ordering privacy fallback vs insufficient data. - file_read ChartAiAnalysisService around @@57-110 & location 'privacyResponse'. Issue 4 (medium): duplicated date-filter rule spread to 3 layers + code difference; could be merged in issue 1. Good avoid splitting same root; perhaps split? no. Issue 5 (medium): prod dashboard compatibility consumption: - file_read_diff public/js/people-analytics/modules/produtividade-dashboard.js. - code_search data-analysis in public/js/people-analytics/modules and templates to verify attribute/card selectors. - code_search 'setButtonLoading' global file where defined. Issue 6 (low/medium): errors from missing CSRF etc: - file_read PeopleAnalyticsApiController relevant start for how auth + CSRF done before route? Actually you can't read Csrf inside controller if annotation. Use file_read_diff of control. - code_search 'isCsrfTokenValid|csrf' within people-analytics JS & Controller to check other ajax approaches sometimes with token header. Issue 7 (low): maintainability duplicate of normalization and two separate match maps — combine with 5? Fine. Potential bigger precise issue to be high: `MemberAnalysisService` integer member ids + `reset` picks first. If filters member list multi-value from team-based filtered overview -> member analysis wrong person; but scenario limited. medium. Let's define exact final 7 numbering sorted high to low. Decide ordering: 1. high — date period mismatch divergence 2. high — member scoping by new aliases/unvalidated accepts could lead to IDOR/data isolation if scoping rules etc.; verify. 3. medium — Insufficient Data short-circuit possibly cuts privacy fallback/misleading & behavior changes across all modules. 4. medium — filter rule duplicated in 3 points plus inconsistency from the controller itself; may drop explicit user dates. Actually same as 1 — maybe don't split. Instead: 3. medium — compatibility centralization of JS shared: verify all consumers/prod dashboard-chartMap signatures and loading helper. 4. medium — CSRF/authorization on AI endpoint? maybe weak: Let's classify "The new endpoint helper posts without any CSRF token while it triggers paid AI calls; not integrity data. based on other project static API's API tokens? use tools." medium. 5. medium — member_id type/multi handling edge: when multi member lists, pick-of-first silently; invalid input yields 500 not 400. But could keep low medium. 6. low — two match maps in service and near metadata duplicates, array_merge precedence. 7. low — duplicated code in calculator (name fallback/collision handling so two loops). Some code duplication is "already huge/god file" issue. Without concrete line context, phrase as "Refactor suggestion creating helper". Wait, we must craft issue text and tools per issue, but if suspicion resolved — still valid plan. Let's prepare each item detail in Portuguese: Begin Summary: "PR de bugfix ... criação helper JS compartilhado de análise da Adriana (painel produtividade), metadados/filtros para análise individual, short-circuit de dados insuficientes e reconhecimento de variações de `member_id`. Review foca em consistência de contrato do AJAX, isolamento por empresa para IDs de membros, duplicidade das regras de período, etc." Issue text (first sentence simplified): example: 1 [alta] "A análise de um membro pode ser gerada para um período diferente do exibido no gráfico, porque a limpeza dos filtros de data agora é feita em três pontos diferentes e com condições que não coincidem." Then locate: - When `periodo` not raw but start_date & end_date was included, controller removes them; Resolver only removes if none of the date keys provided. However if controller receives normalized... etc. Need file reads. Impact wrong insight/malformed. Plan: read PeopleAnalyticsApiController after code + ChartResolver to see call order; code_search use of start_date in MemberAnalysisService charts; file read chart_detail twig around request build. tool args actual. High 2: "Qualquer variação `membro`, `member_id`, listas multi `member_ids`, parâmetro de URL entram sem confirmação de que pertencem à empresa; consultas de dados do colaborador podem vazar/rodar sobre perfil de outra empresa se o método invocado confiar apenas no id. Confirme os guard clauses at service methods." Tools code_search of where 'member_id' queries in service and where userContext/company checks lie, file reads for getPerformanceLine. 3 medium: "Respostas de dados insuficientes podem substituir tratamento/privacidade antes reservado..." with tool context readonly. 4 medium: consumo do helper com prod dash... check stale/loading handling by old button loading label; plus panel insertion conditions careful; . Finally supported. Tool file_read file diff produtividade-dashboard.js etc. 5 medium: CSRF / permissão from module value in endpoint URL constructed from data attr; ensure backend path validate modules map (no mention allowlist yet in files changed). If unknown anyway controllers says $this->userContext etc. decide severity low? To avoid fabrication maybe skip. 6 medium: multi member first chosen... The member analytics might receive a general filter state with all team member_ids from global filters, then picks first member randomly; but UI sets member_id. Eh. Maybe better to not over-fill issues where lack root context — but review plan may legit point out checking places. 6–7 issues would be accepted. Let's keep list focused with spec calls. Let me write final structured list carefully: each: Issue severity and description (problem location, nature, potential impact). Tool lines. Issue title must be written with impact first in simple PT: 1. [alta] Filtros de data do membro podem ser removidos ou mantidos de forma divergente... There are three mechanisms on three layers — but description must ensure fit for review plan (not final ascertain). Wait — careful: in the final plan wording must produce actual issue of review; tools are "planned calls." Fine. Open Specifics: Issue 1 text example: "Na tela de análise individual, a mesma regra 'sem período explícito remove start/end' é aplicada no template com base na URL, no controller com base no ausência de `periodo` e no ChartResolver com base na ausência de qualquer uma das três chaves — e isso tudo se combina uma única requisição em pontos diferentes do ciclo. Quando o usuário escolhe datas mas a URL não muda, ou manda `periodo` e `start_date`, uma das camadas apaga o período escolhido e a IA recebe recorte divergindo do gráfico/consultas (por exemplo, dados de todo o histórico (não intencional)). Além do risco de resposta errada a manutenção fica sujeita a divergir (fontes não compartilhadas).". Planned: file_read_diff of controller + resolver & template region & code_search date normalizer to trace actual same request path; decide whether to move all for back-end single point; then that's proper. Issue 2 high: "Nova lógica aceita identificar do colaborador via também `member_id` etc, mas a segurança das queries pode confiar que, se recebeu id, membro já é autorizado; para endpoints exposed with `member_id` URL, need to inspect same checks...". I must construct useful calls: - file_read src/Service/PeopleAnalytics/MemberAnalysisService.php (full) - file_read_diff src/Controller/PeopleAnalyticsApiController.php - code_search '->getCompany\(|userContext|company_id' Public paths to find company filter in data methods. Issue 3 medium: - file_read src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php around insertion & existing privacy fallback; code_search `privacyResponse|quality_flags|missing_dimensions` to determine flags from resolver and the overall earlier/later decisions; we check whether the `privacy_min_group` fallback could get overwritten with generic "sem dados"; and reason whether any other modules rely on AI explanation for empty data (previously called AI with empty payload)? behavioral signature. Issue 4 medium: - Cross-module serialization contract; new JS modules `.bind` and new fallback response shape (`ai_analysis`) must equal removed per-module handling of `json` response + loading/error messages; Reading modifications to `produtividade-dashboard.js` and old module call; search `AdrianaChartAnalysis.bind` and setButtonLoading defined. But produtividade out-of-group read anyway provides context. Issue 5 medium (CSRF & methodology maybe more real?): - `$.ajax` POST new API helper does not include CSRF/metadata likely absent. Need confirm other calls previously included header e.g. X-CSRF; if none, endpoint has state changes none but costs. Mark low/medium. Choose medium if "changes": AI analysis itself doesn't mutate, but cost paid. Hmm. Manual states mutation no; yet project's rule explicitly demands for mutating AJAX only. This action no persistence; would rank low "defense-in-depth", but don't bloat. Maybe replace with more concrete issue 5 about old bug of setButtonLoading fallback uses first span child not necessarily label etc low. Not needed. issue candidate #5: MemberAnalysisService now returns metadata merged (title/type). Callers of ChartResolver/ChartAiAnalysis & chart rendering might treat `'type'` present in chart data differently, and charts previously derive type. If chartData does include `type` field to represent chart type or different meaning? Whether from match default on unknown maybe to cause issues. Potential actual definite issue: previously `MemberAnalysisService::getChartData` had no metadata; Added `type` => chart data now contains entries in `chart_meta`? With each array includes keys in same array. ai service reads `chart_data['datasets']`; unaffected. Tools could confirm quickly compute but maintain low. issue candidate #6 low duplicate code in calculator. user rules loves duplication centralization. Given six total: 2 alta, 2 média, 2 baixa? maybe medium add csrf etc. Let's craft severity final: - high×1? member scope maybe high. Better sorted: 1 high date-time inconsistency leading wrong analysis? Actually impact could be no data (the bug being fixed) only if defaults injected in lower layers. Eh. 2 high IDOR/permission ensure. 3 medium centralization compatibility 4 medium insufficient-data privacy short-circuit 5 low duplicated calc code/maps 6 low url/template param helper duplication etc. Now with the output structure. Should each described issue include 'problem, nature, impact'. Write in that order? user-specific says first phrase should say impact; then what/where. So phrase in such order. Ensure one tool per line under issue, at least some. Let me write reasonable desired final: Summary: (in PT) Issues 1. [alta] ... → file_read src/Controller/PeopleAnalyticsApiController.php — ... → file_read src/Service/PeopleAnalytics/Chart/ChartResolver.php — ... → code_search 'start_date|periodo|member' ... with argument maybe? the search arg format only one string? pattern allowed; Use `search_text: 'periodo|start_date|end_date'`, file_patterns: ['src/Service/PeopleAnalytics/'], use_perl_regexp: true. describe. 2. [alta]... → file_read src/Service/PeopleAnalytics/MemberAnalysisService.php → code_search 'company|userContext' file_patterns. 3. [media]... → file_read src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php (+ context lines) → code_search 'quality_flags|privacy_min_group' etc. 4. [media]... → file_read public/js/people-analytics/modules/produtividade-dashboard.js → code_search 'setButtonLoading' patterns 5. [media] (CSRF/security hardening?) Perhaps mention "o novo módulo dispara POST sem token CSRF (verificar se outro painel enviou tokens/CSRF; análise gera custo)..." Use code_search 'isCsrfTokenValid|csrf_token' in people-analytics. But if not state-change, would be lower. Set low maybe. Let's avoid. Now go with 6 low: 5. [média] … member_id extraction multi others (300 words too long). We need keep it concise but sufficient. Let's place: 5. [média] Quando vários `member_ids` chegam (ou uma string não numérica), a nova normalização silenciosamente usa o primeiro item ou ignora, sem aviso; se o painel de um membro receber filtros globais de equipe, a análise pode ser gerada para o colaborador errado. ... tools: read File FilterNormalizer + MemberAnalysis + calls from produtividade... Actually duplicates with issues #1 etc. Fine as distinct step. 6. [baixa] Duplicação da lógica do member_id de três forma no normalizer+service+twig, use helper standard; improvements. I want to also include low items: metadata maps duplication & chart calculator series names duplication maybe combine: 6. [baixa] No MemberAnalysisService existem dois `match` com catálogo de gráficos exige manter em sincronia & array_merge; ... File read. 7. [baixa] Cálculo de métricas repete fallback/dedupe name logic; could fail with 'name versus label share integer keys when values... whichever. Enough. Each issue needs 'problem location,' nature, impact... yes the sentence implicitly. Ensure no Markdown headings: no `#`. Output minimal. Let's prepare correct Portuguese. Potential output: roughly in final requested pattern but maybe plan not too verbose. Now double-check one more actual bug for chart filter normalizer data: `reset($normalized['member_ids'])` but normalized member_ids might be not present because raw had keys mapped across loop. If member_ids is normal array with multiple values and 0 numeric, `empty()` if zero? only 0 skipped; member id zero invalid. good. For ChartResolver condition with respect to normalizer default period: If Filters options used in an ui gives `'periodo' => ''` etc. hmm. Also note: ChartResolver newly uses raw `$filters` not normalized; but the call chain could pass $normalized filters results from controller; but there expected raw? Possibly double normalization preserves. Issues tools need invocation parameters formatted in a reasonable textual array styling: e.g. → file_read src/Controller/PeopleAnalyticsApiController.php — confirmar o fluxo... No actual strict formatting beyond description with em dash after arguments. The spec indicates: `→ (tool name) (invocation arguments) — reason` So: → file_read src/Controller/PeopleAnalyticsApiController.php — ... Good. Need tool names allowed: "file_read_diff", "code_search", "file_find". Now craft final answer with exact summary and six findings ordered. Let me write wording compelling and precise yet cautious. For issue 2 perhaps mark medium if case uncertain; let's escalate to "alta (verificar)" because rules request data isolation. But final output that suggests review can choose. Maybe model "issue severity" is not final verdict; acceptable to appear 'high'. The reviewer has to identify. Keep that. Let's build final textual. In PT. Potential final: Summary: PR de bugfix da Análise Individual (People Analytics): novo helper JS compartilhado para o "Análise da Adriana", remoção condicional de filtros de data no módulo analise_de_membro (template/controller/resolver), aceitação de variações de member_id no normalizador, metadados de gráficos no MemberAnalysisService e resposta "dados insuficientes" no ChartAiAnalysisService sem envio à IA. Revisão mira... Issues 1. [alta] (desc) … For each, mention appropriate calls. Let me write now. Ensure first-sentence simple impact before technical names. Avoid excessive jargon leading words like "O controller unsets..." etc. Let's prepare nice Portuguese summary paragraphs: 1. "A IA pode analisar um recorte de datas diferente do que está na tela..." more complete: three mechanisms each guard with inconsistent conditions: twig deletes if URL no periodo & start/end; ApiController unsets normalized start/end whenever raw filters lacks 'periodo', even if UI explicitly sent said keys; Resolver only unsets if none of the keys present. Under single request route they may not see same inputs; the flow seems data load for chart & AI may be different contexts. Tool to verify how the route executes and where dates get defaults etc. → file_read_diff ... etc. 2. [alta] "Se o backend validar dados do payload por empresa apenas via current member id, o query string do membro / ..." maybe actual: Normalizer and MemberAnalysisService now accept member identifiers from many request keys + website URL. If only member parameter of chart service lookup used without company scope, anyone with url can trigger private data and AI cost. Plan reads: MemberAnalysisService service verify where company checks; PeopleAnalyticsApiController check resolution; Code search on `.getMember(`? Since service lookup must check company to show other page? The data methods probably already include current user check. 3. [média] short-circuit — all modules now skip LLM callback under data flags; fields created; need confirm privacy fallback and chart selection of flag may be triggered: potential that the model previously handled cases (e.g., filter selects empty) returns "sem dados" now consistent… check. Tools file read around line 50..120 and search for privacyResponse. 4. [média] centralização de JS… Tools produtividade diff + css global + chartmap signature + search binding. 5. [média] Normalizer chooses first element silently of multi/other; scenario UI: maybe if array or 'member_ids' list includes more than one, no validation about single mode; AI could analyze wrong record. Also if value is non numeric, key skip, service throw unhandled; verify returns 400 error in controller. tools file_read normalizer and controller exception catch. 6. [baixa] ... metadata + catalog repeated match may diverge; and data array collision via array_merge. Could keep 6 items count. I think issue #5 perhaps medium-high as functional edge. Severity "média". Since instructions say each item may contain multiple `→` lines for same issue, good. For low `#6`, may omit tool lines? But we add file_read mapping for better verification. Let's be careful that some files not included in current invocation paths — fine mention regardless file names exact. Do we add tools lines for insuff issue: → file_read src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php — etc. Do not use code fences. Let's format everything final. One more review thought — twig js change uses `var` though user rule: "var strictly forbidden use let/const": In Twig snippet existing JS likely uses var everywhere (old template code var). Rules say var prohibited in new code. Modified added code uses `var urlParams`, `var hasExplicitPeriod`, `var memberId` → low priority style finding according user comment examples. Include as low issue? We can combine into items. System's JS rules `var` forbidden. Useful: issue low: "novo trecho de script usa `var` proibido; sem efeito funcional." short low note. Perhaps fits inside issue #4? Separate maybe 7 issue. I can include as low additional. But "if no risk, none" style low is allowed; keep concise separate low #7. Potential extra low: `console.warn('[AdrianaAnalysis] ...')` per coding messages showing module name non user-facing - fine. Finally ensure lists sorted descending high→low and numbers sequential. Let’s formulate exact tool argument text being realistic: `→ file_read_diff public/js/people-analytics/modules/produtividade-dashboard.js — ver como o dashboard que chama helper e contrato removidos...` Ok writing final final with moderate detail, no headers aside from summary/issues lines. The required structure says: Summary: ... Issues 1. [high] ... → ... ... Make sure use 'Issues' exact heading after summary. That string not markdown heading, acceptable per spec (line says "Issues"). All comments direct, no code fences. Let me ensure no line starting with "#". Length acceptable. Compose now in final.
Summary: PR de bugfix da Análise Individual do People Analytics: centraliza o “Análise da Adriana” num helper JS compartilhado, remove filtros de data padrão no módulo de análise por membro (template, controller e resolver), reconhece variações de `member_id`/`membro` na normalização, devolve metadados de gráfico no `MemberAnalysisService` e adiciona resposta de “dados insuficientes” sem envio à IA. O foco da revisão é consistência do contrato AJAX entre os módulos, escopo/isolamento por empresa do membro analisado, sincronia entre as regras de período duplicadas e o novo atalho de dados insuficientes. Issues 1. [alta] A análise gerada pela IA pode considerar um período diferente do recorte exibido no gráfico, porque a regra de “remover datas quando não há período explícito” foi implementada em três camadas com condições divergentes: o template remove as chaves com base só na URL; o controller remove `start_date`/`end_date` sempre que o payload bruto não tiver `periodo` (mesmo quando o usuário mandou datas explícitas); o resolver só remove quando nenhuma das três chaves existe. Numa mesma requisição essas condições podem se contradizer e descartar uma seleção de datas feita pelo usuário ou, ao contrário, deixar um período padrão estreitar dados que deveriam vir completos — resultado é insumo errado para a IA e resposta fora do contexto do gráfico. → file_read_diff src/Controller/PeopleAnalyticsApiController.php — confirmar como os filtros pós-normalização chegam ao resolver/serviço e se o controller recebe o mesmo payload bruto que o resolver. → file_read_diff src/Service/PeopleAnalytics/Chart/ChartResolver.php — verificar se a condição de remoção de datas enxerga filtros crus ou normalizados e se há divergência real entre as duas camadas no mesmo fluxo. → code_search 'periodo|start_date|end_date' com use_perl_regexp e file_patterns ['src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php', 'src/Service/PeopleAnalytics/'] — mapear onde datas padrão são injetadas após a normalização, para saber qual camada efetivamente decide o recorte enviado à IA. 2. [alta] A mudança passa a aceitar o identificador do colaborador vindo de várias chaves (`membro`, `member_id`, `memberId`, `company_member_id`, `companyMemberId`, `selected_member_id`, além do parâmetro de URL no template) e, se as consultas de gráfico confiarem só nesse ID sem revalidar o vínculo com a empresa/usuário logado, abre caminho para leitura de dados de outro colaborador (IDOR) e disparo de análises pagas por terceiros. É preciso confirmar que toda entrada nova passa pelo mesmo filtro de autorização/empresa que o fluxo antigo aplicava. → file_read src/Service/PeopleAnalytics/MemberAnalysisService.php — verificar se `getChartData` e os métodos de cada gráfico revalidam empresa/permissão do membro ou apenas consultam pelo ID. → code_search 'company|userContext|getCompany' com file_patterns ['src/Service/PeopleAnalytics/MemberAnalysisService.php', 'src/Controller/PeopleAnalyticsApiController.php'] — localizar onde o escopo do membro é verificado e se o novo caminho passa por essa checagem. → file_read_diff src/Controller/PeopleAnalyticsApiController.php — confirmar se o controller valida permissão do módulo/colaborador antes de encaminhar o payload para o serviço. 3. [média] O novo desvio “dados insuficientes” retorna `success: true` com `ai_provider: null` para qualquer gráfico com `empty_data`, `missing_dimensions` ou métricas vazias — inclusive fora do módulo de membro — e pode entrar antes de respostas específicas já existentes (como o fallback de privacidade por tamanho mínimo de grupo), trocando uma mensagem de “dados ocultos por privacidade” por uma genérica de “sem dados”. Se um gráfico vazio legítimo antes passava pela IA e recebia explicação contextual, o comportamento de todos os módulos muda sem estar no escopo declarado da PR. → file_read src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php (região das linhas 60–120) — confirmar a ordem entre o novo `hasInsufficientData`, os flags de qualidade e o fallback de privacidade existente. → code_search 'privacyResponse|privacy_min_group|quality_flags' com file_patterns ['src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php'] — verificar quais respostas o novo early return pode interceptar e se os flags já contemplam mascaramento por privacidade. 4. [média] O helper JS novo assume contratos do código removido do dashboard de produtividade (estrutura de `chartMap`, seletor `.pa-prod-analysis[data-analysis]`, wrapper `.pa-prod-card`, label `.pa-prod-analysis__label` e função global `setButtonLoading`); se algum desses nomes divergir do markup/JS antigo, o botão de análise para de funcionar ou fica preso em “Gerando…” num módulo fora do arquivo revisado, sem que o diff principal mostre o erro. → file_read_diff public/js/people-analytics/modules/produtividade-dashboard.js — ver como o dashboard agora chama `AdrianaChartAnalysis.bind` e quais parâmetros/`chartMap` ele envia. → code_search 'setButtonLoading|pa-prod-analysis\b|pa-prod-card' com use_perl_regexp e file_patterns ['public/js/people-analytics/', 'templates/people_analytics/'] — confirmar que o helper global e os seletores usados existem no novo padrão compartilhado. 5. [média] Quando o payload traz vários `member_ids` (filtro de equipe herdado de outro módulo) ou um valor não numérico, a nova normalização escolhe silenciosamente o primeiro item ou ignora a chave e o `MemberAnalysisService` pode lançar exceção não tratada (o que viraria erro 500 em vez de 400) ou analisar o colaborador errado sem aviso. É preciso decidir se o modo “análise individual” deve exigir exatamente um membro e validar isso na entrada. → file_read src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php — confirmar o tratamento de `member_ids` multivalorado e a ordem das novas regras de `member_id`. → code_search 'InvalidArgumentException|member_id é obrigatório' com file_patterns ['src/Service/PeopleAnalytics/', 'src/Controller/PeopleAnalyticsApiController.php'] — verificar se o erro de membro ausente vira 400 com mensagem amigável ou 500. 6. [baixa] No `MemberAnalysisService`, o catálogo de gráficos ficou duplicado em dois `match` (dados e metadados) e a junção com `array_merge` pode sobrescrever chaves como `title`/`type` caso algum gráfico já devolva esses campos — a manutenção futura (adicionar um gráfico só num dos mapas) gera contrato inconsistente sem erro aparente. → file_read src/Service/PeopleAnalytics/MemberAnalysisService.php — comparar as duas listas de `chartId` e checar se algum retorno de gráfico já contém `title` ou `type`. 7. [baixa] O trecho novo no template usa `var` para declarar `urlParams`, `hasExplicitPeriod` e `memberId`, contrariando o padrão `let`/`const`; sem impacto funcional, mas deve ser ajustado para manter a consistência do restante do código. → file_read templates/people_analytics/chart_detail.html.twig (região do novo bloco `analise_de_membro`) — confirmar o escopo das variáveis e os demais usos de `var` no mesmo script antes de padronizar.

main_task

Request #1 deepseek-v4-flash P:18.86K C:223 CR:2.69K CW:0 1938ms
Reasoning
Let me start by understanding the code changes. I need to review each file in the review group. Let me read the relevant files to understand context. Let me start with parallel tool calls to gather information. First, let me read the diff of files involved in issues, and look at the actual files. Let me begin by reviewing: 1. The new JS helper `adriana-chart-analysis.js` 2. The controller changes 3. The service changes 4. The template changes Let me gather the context.
Tool Calls (2)
file_read
Show Details
{"file_path": "public/js/people-analytics/modules/adriana-chart-analysis.js"}
File: public/js/people-analytics/modules/adriana-chart-analysis.js (Total lines: 181)
IS_TRUNCATED: false
LINE_RANGE: 1-181
1|/**
2| * Shared Adriana chart analysis helper for People Analytics dashboards.
3| * Keeps request, loading state and result rendering consistent across modules.
4| */
5|(function ($) {
6|  'use strict';
7|
8|  window.PeopleAnalytics = window.PeopleAnalytics || {};
9|
10|  const DEFAULT_SELECTOR = '.pa-prod-analysis[data-analysis]';
11|  const DEFAULT_QUESTION = 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.';
12|
13|  function escapeHtml(value) {
14|    const div = document.createElement('div');
15|    div.textContent = value == null ? '' : String(value);
16|    return div.innerHTML;
17|  }
18|
19|  function renderList(title, items) {
20|    const cleanItems = Array.isArray(items) ? items.filter(Boolean) : [];
21|    if (cleanItems.length === 0) return '';
22|
23|    return `
24|      <div class="pa-prod-analysis-panel__section">
25|        <strong>${escapeHtml(title)}</strong>
26|        <ul>
27|          ${cleanItems.map((item) => `<li>${escapeHtml(item)}</li>`).join('')}
28|        </ul>
29|      </div>`;
30|  }
31|
32|  function getOrCreatePanel(button, key) {
33|    const card = button && button.closest('.pa-prod-card');
34|    if (!card) return null;
35|
36|    let panel = card.querySelector(`[data-analysis-panel="${key}"]`);
37|    if (!panel) {
38|      panel = document.createElement('div');
39|      panel.className = 'pa-prod-analysis-panel';
40|      panel.setAttribute('data-analysis-panel', key);
41|      card.appendChild(panel);
42|    }
43|
44|    return panel;
45|  }
46|
47|  function setButtonLoading(button, isLoading, loadingText) {
48|    if (!button) return;
49|
50|    if (typeof window.setButtonLoading === 'function') {
51|      window.setButtonLoading(button, isLoading, loadingText || 'Gerando...');
52|      return;
53|    }
54|
55|    button.disabled = isLoading;
56|    button.classList.toggle('is-loading', isLoading);
57|
58|    const label = button.querySelector('.pa-prod-analysis__label') || button.querySelector('span');
59|    if (!label) return;
60|
61|    if (!button.dataset.originalAnalysisLabel) {
62|      button.dataset.originalAnalysisLabel = label.textContent;
63|    }
64|
65|    label.textContent = isLoading ? (loadingText || 'Gerando...') : button.dataset.originalAnalysisLabel;
66|  }
67|
68|  function renderAnalysis(panel, analysis) {
69|    if (!panel) return;
70|
71|    panel.innerHTML = `
72|      <div class="pa-prod-analysis-panel__header">
73|        <img src="/images/ia_images/adriana.png" alt="Adriana" class="pa-prod-analysis-panel__avatar">
74|        <div>
75|          <span class="pa-prod-analysis-panel__eyebrow">Análise da Adriana</span>
76|          <h4>${escapeHtml(analysis.title || 'Análise do gráfico')}</h4>
77|        </div>
78|      </div>
79|      ${analysis.summary ? `<p class="pa-prod-analysis-panel__summary">${escapeHtml(analysis.summary)}</p>` : ''}
80|      ${renderList('Principais insights', analysis.key_insights)}
81|      ${renderList('Projeções', analysis.projections)}
82|      ${renderList('Pontos de atenção', analysis.attention_points)}
83|      ${renderList('Ações recomendadas', analysis.recommended_actions)}
84|      ${renderList('Limitações', analysis.limitations)}
85|    `;
86|  }
87|
88|  function renderError(panel, message) {
89|    if (!panel) return;
90|
91|    panel.innerHTML = `
92|      <div class="alert alert-warning mb-0">
93|        <strong>Não foi possível gerar a análise.</strong><br>
94|        ${escapeHtml(message || 'Tente novamente em alguns instantes.')}
95|      </div>
96|    `;
97|  }
98|
99|  function requestAnalysis(options, chartId) {
100|    const module = options.module;
101|    const filters = typeof options.getFilters === 'function' ? options.getFilters() : {};
102|    const question = typeof options.getQuestion === 'function'
103|      ? options.getQuestion(chartId)
104|      : (options.question || DEFAULT_QUESTION);
105|
106|    return new Promise((resolve, reject) => {
107|      $.ajax({
108|        url: `/people-analytics/api/${encodeURIComponent(module)}/chart/${encodeURIComponent(chartId)}/ai-analysis`,
109|        method: 'POST',
110|        dataType: 'json',
111|        contentType: 'application/json',
112|        headers: {
113|          'X-Requested-With': 'XMLHttpRequest',
114|        },
115|        data: JSON.stringify({
116|          filters: filters || {},
117|          question: question,
118|        }),
119|      })
120|        .done((json) => {
121|          if (!json || json.success !== true) {
122|            reject(new Error((json && (json.error || json.message)) || 'Resposta inválida do servidor'));
123|            return;
124|          }
125|
126|          resolve(json.ai_analysis || {});
127|        })
128|        .fail((jqXHR) => {
129|          const response = jqXHR.responseJSON || {};
130|          reject(new Error(response.error || response.message || ('HTTP ' + jqXHR.status)));
131|        });
132|      });
133|  }
134|
135|  function bind(options) {
136|    const config = options || {};
137|    const chartMap = config.chartMap || {};
138|    const selector = config.selector || DEFAULT_SELECTOR;
139|
140|    if (!config.module) {
141|      console.warn('[AdrianaAnalysis] module não informado.');
142|      return;
143|    }
144|
145|    $(selector).each(function () {
146|      const button = this;
147|      if (button.dataset.adrianaAnalysisBound === '1') return;
148|      button.dataset.adrianaAnalysisBound = '1';
149|
150|      $(button).on('click', function (event) {
151|        event.preventDefault();
152|
153|        const key = button.getAttribute('data-analysis');
154|        const chartId = chartMap[key];
155|        const panel = getOrCreatePanel(button, key);
156|
157|        if (!chartId) {
158|          renderError(panel, 'Este botão ainda não possui um gráfico vinculado para análise.');
159|          return;
160|        }
161|
162|        setButtonLoading(button, true, config.loadingText || 'Gerando...');
163|
164|        requestAnalysis(config, chartId)
165|          .then((analysis) => renderAnalysis(panel, analysis))
166|          .catch((error) => {
167|            console.error('[AdrianaAnalysis] análise falhou:', error);
168|            renderError(panel, error.message);
169|          })
170|          .finally(() => setButtonLoading(button, false));
171|      });
172|    });
173|  }
174|
175|  window.PeopleAnalytics.AdrianaChartAnalysis = {
176|    bind: bind,
177|    request: requestAnalysis,
178|    renderAnalysis: renderAnalysis,
179|  };
180|})(jQuery);
181|
file_read_diff
Show Details
{"path_array": ["src/Controller/PeopleAnalyticsApiController.php", "src/Service/PeopleAnalytics/Chart/ChartResolver.php"]}
==== FILE: src/Controller/PeopleAnalyticsApiController.php ====
diff --git a/src/Controller/PeopleAnalyticsApiController.php b/src/Controller/PeopleAnalyticsApiController.php
--- a/src/Controller/PeopleAnalyticsApiController.php
+++ b/src/Controller/PeopleAnalyticsApiController.php
@@ -105,12 +105,20 @@ class PeopleAnalyticsApiController extends AbstractController
                 ], 400);
             }
 
-            $filters = $data['filters'] ?? [];
+            $rawFilters = $data['filters'] ?? [];
+            $filters = $rawFilters;
             $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção';
 
             // Normalizar filtros
             $filters = $filterNormalizer->normalize($filters);
 
+            if (
+                $module === 'analise_de_membro'
+                && !isset($rawFilters['periodo'])
+            ) {
+                unset($filters['start_date'], $filters['end_date']);
+            }
+
             // Adicionar contexto do usuário (company, permissões)
             $company = $this->userContext->getCompany();
             if ($company) {
==== FILE: src/Service/PeopleAnalytics/Chart/ChartResolver.php ====
diff --git a/src/Service/PeopleAnalytics/Chart/ChartResolver.php b/src/Service/PeopleAnalytics/Chart/ChartResolver.php
--- a/src/Service/PeopleAnalytics/Chart/ChartResolver.php
+++ b/src/Service/PeopleAnalytics/Chart/ChartResolver.php
@@ -69,6 +69,14 @@ class ChartResolver
 
         // 2. Normalizar filtros
         $normalizedFilters = $this->filterNormalizer->normalize($filters);
+        if (
+            $module === 'analise_de_membro'
+            && !isset($filters['periodo'])
+            && !isset($filters['start_date'])
+            && !isset($filters['end_date'])
+        ) {
+            unset($normalizedFilters['start_date'], $normalizedFilters['end_date']);
+        }
 
         // 3. Buscar dados do gráfico
         try {
Request #2 deepseek-v4-flash P:21.43K C:187 CR:19.07K CW:0 1796ms
Reasoning
Let me now read the context of the PeopleAnalyticsApiController to understand the flow around the modified lines.
Tool Calls (2)
file_read
Show Details
{"file_path": "src/Controller/PeopleAnalyticsApiController.php", "start_line": 60, "end_line": 220}
File: src/Controller/PeopleAnalyticsApiController.php (Total lines: 170)
IS_TRUNCATED: false
LINE_RANGE: 60-170
60|     * }
61|     * 
62|     * Casos de Uso de Projeções:
63|     * - Prever aumento/redução de rotatividade
64|     * - Projetar custos futuros com pessoas
65|     * - Antecipar queda de engajamento (eNPS)
66|     * - Simular impacto de políticas de D&I
67|     * - Prever aumento de absenteísmo
68|     * 
69|     * 📚 Documentação completa: docs/people-analytics/ai_analysis/PROJECOES_IA.md
70|     */
71|    #[Route('/{module}/chart/{chartId}/ai-analysis', name: 'people_analytics_api_chart_ai_analysis', methods: ['POST'])]
72|    public function chartAiAnalysis(
73|        Request $request,
74|        string $module,
75|        string $chartId,
76|        ChartAiAnalysisService $aiAnalysisService,
77|        ChartFilterNormalizer $filterNormalizer
78|    ): JsonResponse {
79|        try {
80|            // Validar módulo
81|            $validModules = [
82|                'saude_organizacional',
83|                'atracao_retencao',
84|                'produtividade',
85|                'visao_geral_custos',
86|                'diversidade_inclusao',
87|                'engajamento',
88|                'bem_estar_ausencia',
89|                'analise_de_membro'
90|            ];
91|
92|            if (!in_array($module, $validModules)) {
93|                return new JsonResponse([
94|                    'success' => false,
95|                    'error' => 'Módulo inválido'
96|                ], 400);
97|            }
98|
99|            // Parsear request body
100|            $data = json_decode($request->getContent(), true);
101|            if (json_last_error() !== JSON_ERROR_NONE) {
102|                return new JsonResponse([
103|                    'success' => false,
104|                    'error' => 'JSON inválido'
105|                ], 400);
106|            }
107|
108|            $rawFilters = $data['filters'] ?? [];
109|            $filters = $rawFilters;
110|            $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção';
111|
112|            // Normalizar filtros
113|            $filters = $filterNormalizer->normalize($filters);
114|
115|            if (
116|                $module === 'analise_de_membro'
117|                && !isset($rawFilters['periodo'])
118|            ) {
119|                unset($filters['start_date'], $filters['end_date']);
120|            }
121|
122|            // Adicionar contexto do usuário (company, permissões)
123|            $company = $this->userContext->getCompany();
124|            if ($company) {
125|                $filters['company_id'] = $company->getId();
126|            }
127|
128|            // Chamar service de análise
129|            $result = $aiAnalysisService->analyze($module, $chartId, $filters, $question);
130|            if (!$result['success']) {
131|                return new JsonResponse($result, 500);
132|            }
133|
134|            return new JsonResponse($result);
135|
136|        } catch (\Exception $e) {
137|            $this->logger->error('[API] Erro na análise de IA', [
138|                'module' => $module,
139|                'chartId' => $chartId,
140|                'error' => $e->getMessage(),
141|                'trace' => $e->getTraceAsString()
142|            ]);
143|
144|            return new JsonResponse([
145|                'success' => false,
146|                'error' => 'Erro ao processar análise: ' . $e->getMessage()
147|            ], 500);
148|        }
149|    }
150|
151|    /**
152|     * Endpoint para verificar status da IA (healthcheck)
153|     * 
154|     * GET /people-analytics/api/ai/health
155|     */
156|    #[Route('/ai/health', name: 'people_analytics_api_ai_health', methods: ['GET'])]
157|    public function aiHealth(): JsonResponse
158|    {
159|        return new JsonResponse([
160|            'success' => true,
161|            'status' => 'operational',
162|            'provider' => 'deepseek',
163|            'model' => 'deepseek-chat',
164|            'timestamp' => (new \DateTime())->format('c')
165|        ]);
166|    }
167|}
168|
169|
170|
file_read
Show Details
{"file_path": "src/Service/PeopleAnalytics/Chart/ChartResolver.php", "start_line": 1, "end_line": 180}
File: src/Service/PeopleAnalytics/Chart/ChartResolver.php (Total lines: 172)
IS_TRUNCATED: false
LINE_RANGE: 1-172
1|<?php
2|
3|namespace App\Service\PeopleAnalytics\Chart;
4|
5|use App\Service\PeopleAnalytics\AtracaoRetencaoService;
6|use App\Service\PeopleAnalytics\CostOverviewService;
7|use App\Service\PeopleAnalytics\DiversidadeInclusaoService;
8|use App\Service\PeopleAnalytics\EngagementService;
9|use App\Service\PeopleAnalytics\MemberAnalysisService;
10|use App\Service\PeopleAnalytics\OrganizationalHealthService;
11|use App\Service\PeopleAnalytics\ProdutividadeService;
12|use App\Service\PeopleAnalytics\WelfareAbsenceService;
13|use Psr\Log\LoggerInterface;
14|
15|/**
16| * Resolve qual service de People Analytics deve ser chamado
17| * para um determinado módulo e chart
18| */
19|class ChartResolver
20|{
21|    private array $serviceMap;
22|    private LoggerInterface $logger;
23|    private ChartFilterNormalizer $filterNormalizer;
24|
25|    public function __construct(
26|        AtracaoRetencaoService $atracaoRetencaoService,
27|        CostOverviewService $costOverviewService,
28|        DiversidadeInclusaoService $diversidadeInclusaoService,
29|        EngagementService $engagementService,
30|        MemberAnalysisService $memberAnalysisService,
31|        OrganizationalHealthService $organizationalHealthService,
32|        ProdutividadeService $produtividadeService,
33|        WelfareAbsenceService $welfareAbsenceService,
34|        ChartFilterNormalizer $filterNormalizer,
35|        LoggerInterface $logger
36|    ) {
37|        $this->serviceMap = [
38|            'atracao_retencao' => $atracaoRetencaoService,
39|            'visao_geral_custos' => $costOverviewService,
40|            'diversidade_inclusao' => $diversidadeInclusaoService,
41|            'engajamento' => $engagementService,
42|            'analise_de_membro' => $memberAnalysisService,
43|            'produtividade' => $produtividadeService, // Service dedicado para Produtividade
44|            'saude_organizacional' => $organizationalHealthService,
45|            'bem_estar_ausencia' => $welfareAbsenceService,
46|        ];
47|        
48|        $this->filterNormalizer = $filterNormalizer;
49|        $this->logger = $logger;
50|    }
51|
52|    /**
53|     * Resolve e busca dados do gráfico
54|     * 
55|     * @param string $module Nome do módulo (ex: 'atracao_retencao')
56|     * @param string $chartId ID do gráfico (ex: 'chart-admissoes-desligamentos')
57|     * @param array $filters Filtros aplicados
58|     * @return array ['chart_data' => array, 'filters_applied' => array, 'chart_meta' => array]
59|     * @throws \InvalidArgumentException Se módulo ou chart não existir
60|     */
61|    public function resolve(string $module, string $chartId, array $filters): array
62|    {
63|        // 1. Validar módulo
64|        if (!isset($this->serviceMap[$module])) {
65|            throw new \InvalidArgumentException("Módulo desconhecido: {$module}");
66|        }
67|
68|        $service = $this->serviceMap[$module];
69|
70|        // 2. Normalizar filtros
71|        $normalizedFilters = $this->filterNormalizer->normalize($filters);
72|        if (
73|            $module === 'analise_de_membro'
74|            && !isset($filters['periodo'])
75|            && !isset($filters['start_date'])
76|            && !isset($filters['end_date'])
77|        ) {
78|            unset($normalizedFilters['start_date'], $normalizedFilters['end_date']);
79|        }
80|
81|        // 3. Buscar dados do gráfico
82|        try {
83|            $chartData = $service->getChartData($chartId, $normalizedFilters);
84|        } catch (\Exception $e) {
85|            $this->logger->error("Erro ao buscar dados do gráfico", [
86|                'module' => $module,
87|                'chartId' => $chartId,
88|                'error' => $e->getMessage()
89|            ]);
90|            throw new \InvalidArgumentException("Gráfico não encontrado ou erro ao buscar dados: {$chartId}");
91|        }
92|
93|        // 4. Obter metadata do chart (por enquanto, retornar básico)
94|        $chartMeta = $this->getChartMetadata($module, $chartId, $chartData);
95|
96|        return [
97|            'chart_data' => $chartData,
98|            'filters_applied' => $normalizedFilters,
99|            'chart_meta' => $chartMeta
100|        ];
101|    }
102|
103|    /**
104|     * Obtém metadata básico do chart
105|     * TODO: Implementar metadata completo em cada service
106|     */
107|    private function getChartMetadata(string $module, string $chartId, array $chartData): array
108|    {
109|        // Inferir canonical_shape do tipo de chart retornado
110|        $canonicalShape = $this->inferCanonicalShape($chartData);
111|        
112|        return [
113|            'module' => $module,
114|            'chart_id' => $chartId,
115|            'title' => $chartData['title'] ?? 'Gráfico',
116|            'chart_type' => $chartData['type'] ?? 'unknown',
117|            'canonical_shape' => $canonicalShape,
118|            'metric_name' => 'Valor',
119|            'metric_unit' => '',
120|            'privacy_min_group' => 5
121|        ];
122|    }
123|
124|    /**
125|     * Infere o canonical_shape baseado no tipo do chart
126|     */
127|    private function inferCanonicalShape(array $chartData): string
128|    {
129|        $type = $chartData['type'] ?? '';
130|        
131|        return match($type) {
132|            'line' => 'time_series',
133|            'column', 'bar', 'pie', 'donut' => 'category_series',
134|            'heatmap' => 'heatmap',
135|            'boxplot' => 'boxplot',
136|            'scatter' => 'scatter',
137|            'funnel' => 'funnel',
138|            default => $this->inferCanonicalShapeFromStructure($chartData)
139|        };
140|    }
141|
142|    private function inferCanonicalShapeFromStructure(array $chartData): string
143|    {
144|        if ((isset($chartData['yAxis']) || isset($chartData['yCategories'])) && isset($chartData['data'])) {
145|            return 'heatmap';
146|        }
147|
148|        $series = $chartData['series'] ?? $chartData['datasets'] ?? [];
149|        $firstPoint = $series[0]['data'][0] ?? null;
150|        if (is_array($firstPoint) && array_key_exists('x', $firstPoint) && array_key_exists('y', $firstPoint)) {
151|            return 'scatter';
152|        }
153|
154|        $categories = $chartData['categories'] ?? $chartData['labels'] ?? [];
155|        $firstCategory = $categories[0] ?? null;
156|        if (is_string($firstCategory) && preg_match('/^\d{4}-\d{2}(-\d{2})?$|^\d{2}\/\d{2,4}$/', $firstCategory)) {
157|            return 'time_series';
158|        }
159|
160|        return 'category_series';
161|    }
162|
163|    /**
164|     * Valida se um módulo existe
165|     */
166|    public function moduleExists(string $module): bool
167|    {
168|        return isset($this->serviceMap[$module]);
169|    }
170|}
171|
172|
Request #3 deepseek-v4-flash P:24.74K C:232 CR:21.5K CW:0 2180ms
Reasoning
Now I understand the flow. Let me look at: 1. The `ChartAiAnalysisService` analyze method (around lines 60-130), to see how the filter and quality flags and privacy fallback interact. 2. The `MemberAnalysisService` full file. 3. `ChartFilterNormalizer`. 4. `ChartDerivedMetricsCalculator`. 5. The template chart_detail. 6. The produtividade-dashboard.js diff. Let me read them in parallel.
Tool Calls (2)
file_read
Show Details
{"file_path": "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php", "start_line": 1, "end_line": 180}
File: src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php (Total lines: 655)
IS_TRUNCATED: false
LINE_RANGE: 1-180
1|<?php
2|
3|namespace App\Service\PeopleAnalytics\Chart;
4|
5|use App\Service\LLMService;
6|use Psr\Log\LoggerInterface;
7|
8|/**
9| * Service principal de análise de IA para gráficos
10| * Orquestra todo o fluxo: resolver dados → canonizar → calcular métricas → chamar IA → validar
11| */
12|class ChartAiAnalysisService
13|{
14|    private ChartResolver $chartResolver;
15|    private ChartCanonicalizer $canonicalizer;
16|    private ChartDerivedMetricsCalculator $metricsCalculator;
17|    private LLMService $llmService;
18|    private LoggerInterface $logger;
19|
20|    public function __construct(
21|        ChartResolver $chartResolver,
22|        ChartCanonicalizer $canonicalizer,
23|        ChartDerivedMetricsCalculator $metricsCalculator,
24|        LLMService $llmService,
25|        LoggerInterface $logger
26|    ) {
27|        $this->chartResolver = $chartResolver;
28|        $this->canonicalizer = $canonicalizer;
29|        $this->metricsCalculator = $metricsCalculator;
30|        $this->llmService = $llmService;
31|        $this->logger = $logger;
32|    }
33|
34|    /**
35|     * Analisa um gráfico com IA
36|     * 
37|     * @param string $module Nome do módulo
38|     * @param string $chartId ID do gráfico
39|     * @param array $filters Filtros aplicados
40|     * @param string $question Pergunta do usuário (opcional)
41|     * @return array Resultado completo da análise
42|     */
43|    public function analyze(
44|        string $module,
45|        string $chartId,
46|        array $filters = [],
47|        string $question = 'Explique os principais insights e pontos de atenção'
48|    ): array {
49|        try { 
50|
51|            $resolved = $this->chartResolver->resolve($module, $chartId, $filters);
52|
53|            // 2. Canonizar dados
54|            $canonical = $this->canonicalizer->canonicalize(
55|                $resolved['chart_data'],
56|                $resolved['chart_meta']
57|            );
58|
59|            // 3. Calcular métricas derivadas
60|            $derivedMetrics = $this->metricsCalculator->calculate(
61|                $canonical['data'],
62|                $canonical['canonical_shape']
63|            );
64|
65|            // 4. Verificar qualidade dos dados
66|            $qualityFlags = $this->calculateQualityFlags($canonical['data'], $canonical['canonical_shape']);
67|
68|            // 5. Verificar privacidade
69|            $privacyCheck = $this->checkPrivacy($canonical['data'], $resolved['chart_meta']);
70|            
71|            if (!$privacyCheck['allowed']) {
72|                return $this->privacyFallbackResponse($module, $chartId, $resolved);
73|            }
74|
75|            // 6. Montar payload para IA
76|            $aiPayload = [
77|                'module' => $module,
78|                'chart_id' => $chartId,
79|                'chart_title' => $resolved['chart_meta']['title'],
80|                'chart_type' => $resolved['chart_meta']['chart_type'],
81|                'canonical_shape' => $canonical['canonical_shape'],
82|                'metric_name' => $resolved['chart_meta']['metric_name'] ?? 'Valor',
83|                'metric_unit' => $resolved['chart_meta']['metric_unit'] ?? '',
84|                'filters_applied' => $resolved['filters_applied'],
85|                'data' => $canonical['data'],
86|                'derived_metrics' => $derivedMetrics,
87|                'quality_flags' => $qualityFlags,
88|                'privacy_min_group' => $resolved['chart_meta']['privacy_min_group'] ?? 5
89|            ];
90|
91|            if ($this->hasInsufficientData($qualityFlags, $derivedMetrics)) {
92|                return $this->insufficientDataResponse($module, $chartId, $resolved, $aiPayload);
93|            }
94| 
95|           
96|            $aiResponse = $this->callDeepSeek($aiPayload, $question);
97|
98|            // 8. Validar resposta
99|            $validated = $this->validateResponse($aiResponse, $aiPayload);
100|
101|            // 9. Retornar resultado completo
102|            return [
103|                'success' => true,
104|                'module' => $module,
105|                'chart_id' => $chartId,
106|                'filters_applied' => $resolved['filters_applied'],
107|                'chart_meta' => $resolved['chart_meta'],
108|                'chart_data' => $resolved['chart_data'],
109|                'ai_payload' => $aiPayload,
110|                'ai_analysis' => $validated,
111|                'ai_provider' => 'deepseek',
112|                'ai_model' => 'deepseek-chat',
113|                'generated_at' => (new \DateTime())->format('c')
114|            ];
115|
116|        } catch (\Exception $e) {
117|            $this->logger->error('[AI Analysis] Erro', [
118|                'module' => $module,
119|                'chartId' => $chartId,
120|                'error' => $e->getMessage()
121|            ]);
122|
123|            return [
124|                'success' => false,
125|                'error' => $e->getMessage(),
126|                'module' => $module,
127|                'chart_id' => $chartId
128|            ];
129|        }
130|    }
131|
132|    /**
133|     * Chama o DeepSeek com o payload preparado
134|     */
135|    private function callDeepSeek(array $payload, string $question): array
136|    {
137|        //Veja que ao acessar a tela retorna dados!! Porem no retorno do deep seek fala que nao tem dado suficiente para analisar.
138|        //dd($aiPayload, $question);
139|        //XHRGET  http://127.0.0.1:8000/people-analytics/api/diversidade/genero-area
140|        //{"success":true,"data":{"categories":["Cozinha","Dev"],"series":[{"name":"Masculino","data":[60,40],"color":"#4A90D9"},{"name":"Feminino","data":[40,60],"color":"#E85D75"},{"name":"N\u00e3o Informado","data":[0,0],"color":"#95A5A6"}],"chartType":"bar-stacked"}}
141|        
142|        // Construir prompt estruturado
143|        $systemPrompt = $this->buildSystemPrompt();
144|        $userPrompt = $this->buildUserPrompt($payload, $question);
145|        // dd($userPrompt,$systemPrompt);
146|        // ChartAiAnalysisService.php on line 141:
147|        // """
148|        // Analise o seguinte gráfico de People Analytics:
149|
150|        // CONTEXTO:
151|
152|
153|        // - Módulo: diversidade_inclusao
154|
155|
156|        // - Gráfico: Gráfico
157|
158|
159|        // - Tipo: unknown
160|
161|
162|        // - Formato: category_series
163|
164|
165|        // - Métrica: Valor 
166|
167|
168|
169|        // FILTROS APLICADOS:
170|
171|
172|        // {
173|
174|
175|        //     "start_date": "2025-12-04",
176|
177|
178|        //     "end_date": "2026-01-04",
179|
180|
file_read
Show Details
{"file_path": "src/Service/PeopleAnalytics/MemberAnalysisService.php"}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php (Total lines: 2857)
IS_TRUNCATED: true
LINE_RANGE: 1-500
1|<?php
2|
3|namespace App\Service\PeopleAnalytics;
4|
5|use App\Service\UserAccessService;
6|use Doctrine\ORM\EntityManagerInterface;
7|
8|/**
9| * Service para Análise Individual de Membro
10| * 
11| * Responsável por agregar e calcular métricas individuais de desempenho,
12| * carga de trabalho, entregas e comparações com a equipe.
13| * 
14| * Gráficos implementados:
15| * 1. Linha de Desempenho (score x tempo)
16| * 2. Carga de Trabalho vs Produtividade (horas vs score)
17| * 3. Rosca de Tempo por Tipo de Atividade
18| * 4. Barras de Entregas por Projeto
19| * 5. Boxplot de Produtividade por Equipe + Membro Destacado
20| * 6. Ranking de Produtividade (membros x score)
21| * 7. Scatter Membro × Time Produtividade vs Ausência
22| * 
23| * @TODO: Gráficos 8 e 9 serão implementados em fase futura (retrabalho e taxa de retrabalho)
24| */
25|class MemberAnalysisService
26|{
27|    public function __construct(
28|        private EntityManagerInterface $em,
29|        private UserAccessService $userAccess
30|    ) {}
31|
32|    /**
33|     * Retorna o EntityManager (usado pelo Controller)
34|     */
35|    public function getEntityManager(): EntityManagerInterface
36|    {
37|        return $this->em;
38|    }
39|
40|    /**
41|     * Método genérico para buscar dados de qualquer gráfico do módulo
42|     * Usado pelo ChartResolver para análise de IA
43|     * 
44|     * @param string $chartId ID do gráfico
45|     * @param array $filters Filtros normalizados (deve incluir member_id)
46|     * @return array Dados do gráfico
47|     * @throws \InvalidArgumentException Se o chartId não existir
48|     */
49|    public function getChartData(string $chartId, array $filters): array
50|    {
51|        $memberId = $filters['member_id'] ?? $filters['membro'] ?? null;
52|        if (!$memberId && !empty($filters['member_ids'])) {
53|            $memberId = reset($filters['member_ids']);
54|        }
55|        if (!$memberId) {
56|            throw new \InvalidArgumentException("member_id é obrigatório nos filtros para análise de membro");
57|        }
58|
59|        $filters['member_id'] = (int) $memberId;
60|        $filters['membro'] = [(int) $memberId];
61|
62|        $chartData = match($chartId) {
63|            'chart-linha-desempenho' => $this->getPerformanceLine($memberId, $filters),
64|            'chart-carga-produtividade' => $this->getWorkloadVsProductivity($memberId, $filters),
65|            'chart-tempo-atividade-membro' => $this->getTimeByActivityType($memberId, $filters),
66|            'chart-entregas-projeto' => $this->getDeliveriesByProject($memberId, $filters),
67|            'chart-boxplot-equipe-membro' => $this->getTeamBoxplotWithMember($memberId, $filters),
68|            'chart-ranking-produtividade' => $this->getProductivityRanking($memberId, $filters),
69|            'chart-scatter-prod-ausencia' => $this->getProductivityVsAbsenceScatter($memberId, $filters),
70|            default => throw new \InvalidArgumentException("Gráfico não encontrado: {$chartId}")
71|        };
72|
73|        return array_merge($this->chartMetadata($chartId), $chartData);
74|    }
75|
76|    private function chartMetadata(string $chartId): array
77|    {
78|        return match ($chartId) {
79|            'chart-linha-desempenho' => ['title' => 'Linha de Desempenho', 'type' => 'line'],
80|            'chart-carga-produtividade' => ['title' => 'Carga de Trabalho vs Produtividade', 'type' => 'line'],
81|            'chart-tempo-atividade-membro' => ['title' => 'Tempo por Tipo de Atividade', 'type' => 'donut'],
82|            'chart-entregas-projeto' => ['title' => 'Entregas por Projeto', 'type' => 'bar'],
83|            'chart-boxplot-equipe-membro' => ['title' => 'Produtividade da Equipe com Membro Destacado', 'type' => 'boxplot'],
84|            'chart-ranking-produtividade' => ['title' => 'Ranking de Produtividade', 'type' => 'bar'],
85|            'chart-scatter-prod-ausencia' => ['title' => 'Produtividade vs Ausência', 'type' => 'scatter'],
86|            default => ['title' => 'Análise Individual', 'type' => 'unknown'],
87|        };
88|    }
89|
90|    // ==========================================
91|    // HELPER - CONVERSÃO DE FILTRO DE PERÍODO
92|    // ==========================================
93|    
94|    /**
95|     * Converte o filtro 'periodo' em datas start_date e end_date
96|     * 
97|     * Valores suportados:
98|     * - 'hoje' → hoje
99|     * - 'ontem' → ontem
100|     * - 'esta-semana' → semana atual (seg-dom)
101|     * - 'semana-passada' → semana anterior
102|     * - 'este-mes' → mês atual
103|     * - 'mes-passado' → mês anterior
104|     * - 'ultimo-mes' → últimos 30 dias
105|     * - 'ultimos-3-meses' → últimos 90 dias
106|     * - 'este-trimestre' → trimestre atual (Jan-Mar, Abr-Jun, Jul-Set, Out-Dez)
107|     * - 'trimestre-passado' → trimestre anterior
108|     * - 'ultimo-trimestre' → últimos 90 dias
109|     * - 'este-ano' → ano atual (Jan 1 - Dez 31)
110|     * - 'ano-passado' → ano anterior
111|     * - 'ultimo-ano' → últimos 365 dias
112|     * 
113|     * @param string $periodo Valor do filtro de período
114|     * @return array|null ['start_date' => string, 'end_date' => string] ou null se inválido
115|     */
116|    private function resolvePeriodFilter(string $periodo): ?array
117|    {
118|        $now = new \DateTime();
119|        $startDate = null;
120|        $endDate = clone $now;
121|        
122|        switch ($periodo) {
123|            case 'hoje':
124|                $startDate = clone $now;
125|                break;
126|                
127|            case 'ontem':
128|                $startDate = (clone $now)->modify('-1 day');
129|                $endDate = (clone $now)->modify('-1 day');
130|                break;
131|                
132|            case 'esta-semana':
133|                $startDate = (clone $now)->modify('monday this week');
134|                break;
135|                
136|            case 'semana-passada':
137|                $startDate = (clone $now)->modify('monday last week');
138|                $endDate = (clone $now)->modify('sunday last week');
139|                break;
140|                
141|            case 'este-mes':
142|                $startDate = (clone $now)->modify('first day of this month');
143|                break;
144|                
145|            case 'mes-passado':
146|                $startDate = (clone $now)->modify('first day of last month');
147|                $endDate = (clone $now)->modify('last day of last month');
148|                break;
149|                
150|            case 'ultimo-mes':
151|                $startDate = (clone $now)->modify('-30 days');
152|                break;
153|                
154|            case 'ultimos-3-meses':
155|                $startDate = (clone $now)->modify('-90 days');
156|                break;
157|                
158|            case 'este-trimestre':
159|                $currentMonth = (int)$now->format('n');
160|                $quarterStartMonth = floor(($currentMonth - 1) / 3) * 3 + 1;
161|                $startDate = (clone $now)->setDate((int)$now->format('Y'), (int)$quarterStartMonth, 1);
162|                break;
163|                
164|            case 'trimestre-passado':
165|                $currentMonth = (int)$now->format('n');
166|                $quarterStartMonth = floor(($currentMonth - 1) / 3) * 3 + 1;
167|                $prevQuarterStartMonth = $quarterStartMonth - 3;
168|                
169|                if ($prevQuarterStartMonth <= 0) {
170|                    $prevQuarterStartMonth += 12;
171|                    $year = (int)$now->format('Y') - 1;
172|                } else {
173|                    $year = (int)$now->format('Y');
174|                }
175|                
176|                $startDate = (new \DateTime())->setDate($year, $prevQuarterStartMonth, 1);
177|                $endDate = (clone $startDate)->modify('last day of +2 months');
178|                break;
179|                
180|            case 'ultimo-trimestre':
181|                $startDate = (clone $now)->modify('-90 days');
182|                break;
183|                
184|            case 'ultimo-semestre':
185|                $startDate = (clone $now)->modify('-180 days');
186|                break;
187|                
188|            case 'este-ano':
189|                $startDate = (clone $now)->setDate((int)$now->format('Y'), 1, 1);
190|                break;
191|                
192|            case 'ano-passado':
193|                $year = (int)$now->format('Y') - 1;
194|                $startDate = (new \DateTime())->setDate($year, 1, 1);
195|                $endDate = (new \DateTime())->setDate($year, 12, 31);
196|                break;
197|                
198|            case 'ultimo-ano':
199|                $startDate = (clone $now)->modify('-365 days');
200|                break;
201|                
202|            default:
203|                return null; // Período não reconhecido
204|        }
205|        
206|        if (!$startDate) {
207|            return null;
208|        }
209|        
210|        return [
211|            'start_date' => $startDate->format('Y-m-d'),
212|            'end_date' => $endDate->format('Y-m-d')
213|        ];
214|    }
215|
216|    // ==========================================
217|    // HELPER - CONSTRUIR CLÁUSULAS WHERE PARA FILTROS
218|    // ==========================================
219|
220|    /**
221|     * Constrói cláusulas WHERE dinâmicas baseadas nos filtros
222|     * 
223|     * Mapeamento de filtros para colunas:
224|     * - projeto → pt.project_id (project_tasks.project_id)
225|     * - categoria-atividade → a.activity_name_legacy
226|     * - prioridade-project-task → pt.priority (1=Alta, 2=Média, 3=Baixa)
227|     * - status-project-task → pt.status (1=A Fazer, 2=Em Andamento, 3=Em Atraso, 4=Finalizada)
228|     * - deadline → cálculo baseado em pt.end_date
229|     * - turno → via work_shift_members (wsm.work_shift_id)
230|     * - membro → cm.id (company_members.id)
231|     * 
232|     * @param array $filters Filtros normalizados do controller
233|     * @param array &$params Parâmetros para bind (passado por referência)
234|     * @param string $dateField Campo de data para filtro de período (ex: 'td.day', 'pt.created_at', 't.created_at')
235|     * @return array ['where' => string, 'joins' => string]
236|     */
237|    private function buildFilterClauses(array $filters, array &$params, string $dateField = 'td.day'): array
238|    {
239|        $whereClauses = [];
240|        $joinClauses = [];
241|        
242|        // ========================================
243|        // FILTRO DE PERÍODO (prioridade máxima)
244|        // ========================================
245|        
246|        // 1) Se vier filtro 'periodo' (ex: 'ultimo-mes', 'este-trimestre'), converte para datas
247|        if (!empty($filters['periodo'])) {
248|            $periodoValue = is_array($filters['periodo']) ? $filters['periodo'][0] : $filters['periodo'];
249|            $resolvedDates = $this->resolvePeriodFilter($periodoValue);
250|            
251|            if ($resolvedDates) {
252|                // Sobrescreve start_date e end_date com as datas resolvidas
253|                $filters['start_date'] = $resolvedDates['start_date'];
254|                $filters['end_date'] = $resolvedDates['end_date'];
255|            }
256|        }
257|        
258|        // 2) Aplica start_date e end_date (vindos de 'periodo' ou diretos)
259|        if (!empty($filters['start_date'])) {
260|            $startDate = is_array($filters['start_date']) ? $filters['start_date'][0] : $filters['start_date'];
261|            $params['start_date'] = $startDate;
262|            
263|            // Para campos DATE/DATETIME, usar função DATE() se necessário
264|            if (in_array($dateField, ['pt.created_at', 'pt.updated_at', 't.created_at', 't.updated_at'])) {
265|                $whereClauses[] = "DATE({$dateField}) >= :start_date";
266|            } else {
267|                $whereClauses[] = "{$dateField} >= :start_date";
268|            }
269|        }
270|        
271|        if (!empty($filters['end_date'])) {
272|            $endDate = is_array($filters['end_date']) ? $filters['end_date'][0] : $filters['end_date'];
273|            $params['end_date'] = $endDate;
274|            
275|            // Para campos DATE/DATETIME, usar função DATE() se necessário
276|            if (in_array($dateField, ['pt.created_at', 'pt.updated_at', 't.created_at', 't.updated_at'])) {
277|                $whereClauses[] = "DATE({$dateField}) <= :end_date";
278|            } else {
279|                $whereClauses[] = "{$dateField} <= :end_date";
280|            }
281|        }
282|        
283|        // ========================================
284|        // OUTROS FILTROS
285|        // ========================================
286|        
287|        // Filtro: projeto (project_tasks.project_id)
288|        if (!empty($filters['projeto'])) {
289|            $placeholders = [];
290|            foreach ($filters['projeto'] as $i => $projectId) {
291|                $key = 'projeto_' . $i;
292|                $placeholders[] = ':' . $key;
293|                $params[$key] = (int)$projectId;
294|            }
295|            $whereClauses[] = 'pt.project_id IN (' . implode(', ', $placeholders) . ')';
296|        }
297|        
298|        // Filtro: categoria-atividade (activities.activity_name_legacy)
299|        if (!empty($filters['categoria-atividade'])) {
300|            $placeholders = [];
301|            foreach ($filters['categoria-atividade'] as $i => $category) {
302|                $key = 'categoria_' . $i;
303|                $placeholders[] = ':' . $key;
304|                $params[$key] = $category;
305|            }
306|            $whereClauses[] = 'a.activity_name_legacy IN (' . implode(', ', $placeholders) . ')';
307|        }
308|        
309|        // Filtro: prioridade-project-task (project_tasks.priority)
310|        if (!empty($filters['prioridade-project-task'])) {
311|            $placeholders = [];
312|            foreach ($filters['prioridade-project-task'] as $i => $priority) {
313|                $key = 'prioridade_' . $i;
314|                $placeholders[] = ':' . $key;
315|                $params[$key] = (int)$priority;
316|            }
317|            $whereClauses[] = 'pt.priority IN (' . implode(', ', $placeholders) . ')';
318|        }
319|        
320|        // Filtro: status-project-task (project_tasks.status)
321|        if (!empty($filters['status-project-task'])) {
322|            $placeholders = [];
323|            foreach ($filters['status-project-task'] as $i => $status) {
324|                $key = 'status_' . $i;
325|                $placeholders[] = ':' . $key;
326|                $params[$key] = (int)$status;
327|            }
328|            $whereClauses[] = 'pt.status IN (' . implode(', ', $placeholders) . ')';
329|        }
330|        
331|        // Filtro: deadline (cálculo baseado em pt.end_date)
332|        if (!empty($filters['deadline'])) {
333|            $deadline = is_array($filters['deadline']) ? $filters['deadline'][0] : $filters['deadline'];
334|            
335|            switch ($deadline) {
336|                case 'vencido':
337|                    $whereClauses[] = 'pt.end_date < CURDATE()';
338|                    break;
339|                case 'hoje':
340|                    $whereClauses[] = 'DATE(pt.end_date) = CURDATE()';
341|                    break;
342|                case 'esta-semana':
343|                    $whereClauses[] = 'pt.end_date BETWEEN CURDATE() AND DATE_ADD(CURDATE(), INTERVAL 7 DAY)';
344|                    break;
345|                case 'proxima-semana':
346|                    $whereClauses[] = 'pt.end_date BETWEEN DATE_ADD(CURDATE(), INTERVAL 7 DAY) AND DATE_ADD(CURDATE(), INTERVAL 14 DAY)';
347|                    break;
348|                case 'este-mes':
349|                    $whereClauses[] = 'MONTH(pt.end_date) = MONTH(CURDATE()) AND YEAR(pt.end_date) = YEAR(CURDATE())';
350|                    break;
351|                case 'sem-prazo':
352|                    $whereClauses[] = 'pt.end_date IS NULL';
353|                    break;
354|            }
355|        }
356|        
357|        // Filtro: turno (via work_shift_members)
358|        if (!empty($filters['turno'])) {
359|            $joinClauses[] = 'LEFT JOIN work_shift_members wsm ON wsm.member_id = cm.id';
360|            
361|            $placeholders = [];
362|            foreach ($filters['turno'] as $i => $turnoId) {
363|                $key = 'turno_' . $i;
364|                $placeholders[] = ':' . $key;
365|                $params[$key] = $turnoId;
366|            }
367|            $whereClauses[] = 'wsm.work_shift_id IN (' . implode(', ', $placeholders) . ')';
368|        }
369|        
370|        // Filtro: membro específico
371|        if (!empty($filters['membro'])) {
372|            $placeholders = [];
373|            foreach ($filters['membro'] as $i => $memberId) {
374|                $key = 'membro_' . $i;
375|                $placeholders[] = ':' . $key;
376|                $params[$key] = (int)$memberId;
377|            }
378|            $whereClauses[] = 'cm.id IN (' . implode(', ', $placeholders) . ')';
379|        }
380|        
381|        // Filtro: gestor-equipe (company_team via company_team_group)
382|        // Filtra membros que pertencem a determinadas equipes
383|        // Usa relacionamento direto: company_members.team_group_id -> company_team_group.id -> company_team_group.team_id
384|        if (!empty($filters['gestor-equipe'])) {
385|            $joinClauses[] = 'LEFT JOIN company_team_group ctg ON ctg.id = cm.team_group_id';
386|            
387|            $placeholders = [];
388|            foreach ($filters['gestor-equipe'] as $i => $teamId) {
389|                $key = 'equipe_' . $i;
390|                $placeholders[] = ':' . $key;
391|                $params[$key] = (int)$teamId;
392|            }
393|            $whereClauses[] = 'ctg.team_id IN (' . implode(', ', $placeholders) . ')';
394|        }
395|        
396|        // Filtro: satisfacao-dia (timesheet_days.work_satisfaction)
397|        // Valores: 1=Muito Insatisfeito, 2=Insatisfeito, 3=Neutro, 4=Satisfeito, 5=Muito Satisfeito
398|        if (!empty($filters['satisfacao-dia'])) {
399|            $placeholders = [];
400|            foreach ($filters['satisfacao-dia'] as $i => $satisfacao) {
401|                $key = 'satisfacao_' . $i;
402|                $placeholders[] = ':' . $key;
403|                $params[$key] = (int)$satisfacao;
404|            }
405|            $whereClauses[] = 'td.work_satisfaction IN (' . implode(', ', $placeholders) . ')';
406|        }
407|        
408|        // Filtro: dia-semana (DAYNAME ou DAYOFWEEK)
409|        // Valores: segunda, terca, quarta, quinta, sexta, sabado, domingo
410|        if (!empty($filters['dia-semana'])) {
411|            $dayMap = [
412|                'domingo' => 1,
413|                'segunda' => 2,
414|                'terca' => 3,
415|                'quarta' => 4,
416|                'quinta' => 5,
417|                'sexta' => 6,
418|                'sabado' => 7
419|            ];
420|            
421|            $dayNumbers = [];
422|            foreach ($filters['dia-semana'] as $dia) {
423|                if (isset($dayMap[$dia])) {
424|                    $dayNumbers[] = $dayMap[$dia];
425|                }
426|            }
427|            
428|            if (!empty($dayNumbers)) {
429|                $whereClauses[] = 'DAYOFWEEK(td.day) IN (' . implode(', ', $dayNumbers) . ')';
430|            }
431|        }
432|        
433|        // Filtro: faixa-duracao (calculado sobre activities.duration ou tempo calculado)
434|        // Valores: ate-15min, 15-30min, 30-60min, 1-2h, 2-4h, acima-4h
435|        if (!empty($filters['faixa-duracao'])) {
436|            $durationConditions = [];
437|            
438|            foreach ($filters['faixa-duracao'] as $faixa) {
439|                switch ($faixa) {
440|                    case 'ate-15min':
441|                        $durationConditions[] = '(a.duration <= 15)';
442|                        break;
443|                    case '15-30min':
444|                        $durationConditions[] = '(a.duration > 15 AND a.duration <= 30)';
445|                        break;
446|                    case '30-60min':
447|                        $durationConditions[] = '(a.duration > 30 AND a.duration <= 60)';
448|                        break;
449|                    case '1-2h':
450|                        $durationConditions[] = '(a.duration > 60 AND a.duration <= 120)';
451|                        break;
452|                    case '2-4h':
453|                        $durationConditions[] = '(a.duration > 120 AND a.duration <= 240)';
454|                        break;
455|                    case 'acima-4h':
456|                        $durationConditions[] = '(a.duration > 240)';
457|                        break;
458|                }
459|            }
460|            
461|            if (!empty($durationConditions)) {
462|                $whereClauses[] = '(' . implode(' OR ', $durationConditions) . ')';
463|            }
464|        }
465|        
466|        // Filtro: responsavel-tarefa (via project_task_members)
467|        // Lista membros responsáveis pelas tarefas através da tabela de relacionamento
468|        if (!empty($filters['responsavel-tarefa'])) {
469|            $joinClauses[] = 'INNER JOIN project_task_members ptm ON ptm.project_task_id = pt.id';
470|            
471|            $placeholders = [];
472|            foreach ($filters['responsavel-tarefa'] as $i => $responsavelId) {
473|                $key = 'responsavel_' . $i;
474|                $placeholders[] = ':' . $key;
475|                $params[$key] = (int)$responsavelId;
476|            }
477|            $whereClauses[] = 'ptm.company_members_id IN (' . implode(', ', $placeholders) . ')';
478|        }
479|        
480|        // ========================================
481|        // FILTROS PARA TASKS (usado no boxplot)
482|        // ========================================
483|        
484|        // Filtro: tipo-avaliacao (evaluation.id via tasks.evaluation_id)
485|        if (!empty($filters['tipo-avaliacao'])) {
486|            $joinClauses[] = 'LEFT JOIN evaluation e ON e.id = t.evaluation_id';
487|            
488|            $placeholders = [];
489|            foreach ($filters['tipo-avaliacao'] as $i => $tipoId) {
490|                $key = 'tipo_avaliacao_' . $i;
491|                $placeholders[] = ':' . $key;
492|                $params[$key] = (int)$tipoId;
493|            }
494|            $whereClauses[] = 't.evaluation_id IN (' . implode(', ', $placeholders) . ')';
495|        }
496|        
497|        // Filtro: status-tarefa-avaliacao (tasks.status)
498|        // Valores comuns: 'finished', 'complete', 'pending', 'in_progress', etc
499|        if (!empty($filters['status-tarefa-avaliacao'])) {
500|            $placeholders = [];

Note: Results truncated to 500 lines. Please narrow your line range.
Request #4 deepseek-v4-flash P:33.49K C:262 CR:24.96K CW:0 3047ms
Reasoning
Let me look at how queries are scoped by company. Look at `buildFilterClauses` uses company_members cm, likely there is a `cm.company_id = :company_id` somewhere? Let me search for how queries bind company. In `MemberAnalysisService`, queries use SQL directly. Let me look at one of the query methods such as `getPerformanceLine` to understand whether company is validated. Let me search for `company_id` and `userAccess` usage in this file.
Tool Calls (2)
code_search
Show Details
{"search_text": "userAccess|company_id|companyId|->getCompany", "file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"]}
No matches found
code_search
Show Details
{"search_text": "function getPerformanceLine|function getWorkloadVsProductivity", "file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"]}
No matches found
Request #5 deepseek-v4-flash P:33.78K C:212 CR:33.66K CW:0 1939ms
Reasoning
Interesting - `MemberAnalysisService` doesn't reference `userAccess` nor `company_id`? Let me search the file for `private function get` to find where the queries start. Actually the `match` uses methods `getPerformanceLine` etc. Let me find their definitions.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"], "search_text": "private function get"}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php
Match lines: 6
1868|    private function getProductivityPeriodKpi(int $companyId, array $filters = []): array
2043|    private function getProductivityVsTeamKpi(int $companyId, array $filters = []): array
2236|    private function getDeliveriesKpi(int $companyId, array $filters = []): array
2363|    private function getHoursWorkedKpi(int $companyId, array $filters = []): array
2514|    private function getAbsenceKpi(int $companyId, array $filters = []): array
2656|    private function getEngagementKpi(int $companyId, array $filters = []): array

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{"file_path": "src/Service/PeopleAnalytics/MemberAnalysisService.php", "start_line": 500, "end_line": 750}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php (Total lines: 2857)
IS_TRUNCATED: false
LINE_RANGE: 500-750
500|            $placeholders = [];
501|            foreach ($filters['status-tarefa-avaliacao'] as $i => $status) {
502|                $key = 'status_tarefa_' . $i;
503|                $placeholders[] = ':' . $key;
504|                $params[$key] = $status;
505|            }
506|            $whereClauses[] = 't.status IN (' . implode(', ', $placeholders) . ')';
507|        }
508|        
509|        // Filtro: estagio (tasks.stage)
510|        if (!empty($filters['estagio'])) {
511|            $placeholders = [];
512|            foreach ($filters['estagio'] as $i => $estagio) {
513|                $key = 'estagio_' . $i;
514|                $placeholders[] = ':' . $key;
515|                $params[$key] = $estagio;
516|            }
517|            $whereClauses[] = 't.stage IN (' . implode(', ', $placeholders) . ')';
518|        }
519|        
520|        // Filtro: processo (tasks.process_id)
521|        if (!empty($filters['processo'])) {
522|            $placeholders = [];
523|            foreach ($filters['processo'] as $i => $processoId) {
524|                $key = 'processo_' . $i;
525|                $placeholders[] = ':' . $key;
526|                $params[$key] = (int)$processoId;
527|            }
528|            $whereClauses[] = 't.process_id IN (' . implode(', ', $placeholders) . ')';
529|        }
530|        
531|        // ========================================
532|        // FILTROS PARA AUSÊNCIA (usado no scatter)
533|        // ========================================
534|        
535|        // Filtro: tipo-ausencia (hit_the_spot.justification_type + pay_off_absence/license)
536|        // Nota: Este filtro é complexo e será aplicado diretamente na query do scatter
537|        // Não precisa ser armazenado em params pois usa quote() diretamente
538|        
539|        return [
540|            'where' => !empty($whereClauses) ? ' AND ' . implode(' AND ', $whereClauses) : '',
541|            'joins' => !empty($joinClauses) ? ' ' . implode(' ', array_unique($joinClauses)) : '',
542|            'having' => $this->buildHavingClause($filters, $params)
543|        ];
544|    }
545|    
546|    /**
547|     * Constrói cláusula HAVING para filtros baseados em campos agregados
548|     * Usado para faixa-produtividade e faixa-ausencia que filtram sobre campos calculados
549|     * 
550|     * @param array $filters Filtros normalizados
551|     * @param array &$params Parâmetros para bind (passado por referência)
552|     * @return string Condições para HAVING (sem a palavra HAVING) ou string vazia
553|     */
554|    private function buildHavingClause(array $filters, array &$params): string
555|    {
556|        $havingConditions = [];
557|        
558|        // Filtro: faixa-produtividade (baseado no score médio calculado)
559|        // Valores: excelente (>90%), alta (80-90%), media (60-80%), baixa (40-60%), critica (<40%)
560|        if (!empty($filters['faixa-produtividade'])) {
561|            $prodConditions = [];
562|            
563|            foreach ($filters['faixa-produtividade'] as $faixa) {
564|                switch ($faixa) {
565|                    case 'excelente':
566|                        $prodConditions[] = 'avg_productivity_score > 90';
567|                        break;
568|                    case 'alta':
569|                        $prodConditions[] = '(avg_productivity_score > 80 AND avg_productivity_score <= 90)';
570|                        break;
571|                    case 'media':
572|                        $prodConditions[] = '(avg_productivity_score > 60 AND avg_productivity_score <= 80)';
573|                        break;
574|                    case 'baixa':
575|                        $prodConditions[] = '(avg_productivity_score > 40 AND avg_productivity_score <= 60)';
576|                        break;
577|                    case 'critica':
578|                        $prodConditions[] = 'avg_productivity_score <= 40';
579|                        break;
580|                }
581|            }
582|            
583|            if (!empty($prodConditions)) {
584|                $havingConditions[] = '(' . implode(' OR ', $prodConditions) . ')';
585|            }
586|        }
587|        
588|        // Filtro: faixa-ausencia (baseado no percentual de ausência calculado)
589|        // Valores: nenhuma (0%), baixa (0-2%), moderada (2-5%), alta (5-10%), critica (>10%)
590|        if (!empty($filters['faixa-ausencia'])) {
591|            $absConditions = [];
592|            
593|            foreach ($filters['faixa-ausencia'] as $faixa) {
594|                switch ($faixa) {
595|                    case 'nenhuma':
596|                        $absConditions[] = 'absence_percentage = 0';
597|                        break;
598|                    case 'baixa':
599|                        $absConditions[] = '(absence_percentage > 0 AND absence_percentage <= 2)';
600|                        break;
601|                    case 'moderada':
602|                        $absConditions[] = '(absence_percentage > 2 AND absence_percentage <= 5)';
603|                        break;
604|                    case 'alta':
605|                        $absConditions[] = '(absence_percentage > 5 AND absence_percentage <= 10)';
606|                        break;
607|                    case 'critica':
608|                        $absConditions[] = 'absence_percentage > 10';
609|                        break;
610|                }
611|            }
612|            
613|            if (!empty($absConditions)) {
614|                $havingConditions[] = '(' . implode(' OR ', $absConditions) . ')';
615|            }
616|        }
617|        
618|        return !empty($havingConditions) ? ' AND ' . implode(' AND ', $havingConditions) : '';
619|    }
620|
621|    /**
622|     * GRÁFICO 1: Linha de Desempenho da EMPRESA (performance x tempo)
623|     * 
624|     * Evolução do score de performance AGREGADO de todos os membros da empresa ao longo do tempo.
625|     * Baseado em activities com project_tasks (deadline) ao invés de tasks (processo seletivo).
626|     * 
627|     * Lógica de Performance:
628|     * - Se day <= end_date: score = 100 (dentro do prazo)
629|     * - Se day > end_date: score = 100 - (10 × dias_atraso), mínimo 0
630|     * - Apenas activities com project_task_id e end_date não-nulos
631|     * 
632|     * Agregação:
633|     * - Agrupa por mês (DATE_FORMAT period)
634|     * - Calcula média mensal de performance de todas as activities
635|     * - Dias sem activities não aparecem no gráfico
636|     * 
637|     * Fontes:
638|     * - activities (atividades realizadas)
639|     * - timesheet_days (dia de realização)
640|     * - project_tasks (deadlines)
641|     * - company_members (vínculo empresa)
642|     * 
643|     * Filtros suportados:
644|     * - projeto: array de IDs de projetos
645|     * - categoria-atividade: array de nomes de categorias
646|     * - prioridade-project-task: array de prioridades (1=Alta, 2=Média, 3=Baixa)
647|     * - status-project-task: array de status (1-4)
648|     * - deadline: string (vencido, hoje, esta-semana, proxima-semana, este-mes, sem-prazo)
649|     * - turno: array de IDs de turnos
650|     * - start_date/end_date: filtro de período
651|     * 
652|     * @param int $memberId [NÃO USADO] Mantido por compatibilidade de assinatura
653|     * @param array $filters Filtros a serem aplicados
654|     * @return array ['labels' => ['Jan 2022', ...], 'datasets' => [...]]
655|     */
656|    public function getPerformanceLine(int $memberId, array $filters = []): array
657|    {
658|        $company = $this->userAccess->getSelectedCompany();
659|        if (!$company) {
660|            return ['labels' => [], 'datasets' => []];
661|        }
662|
663|        $companyId = $company->getId();
664|        
665|        // Prepara parâmetros base
666|        $params = ['companyId' => $companyId];
667|        
668|        // Constrói cláusulas de filtro
669|        $filterClauses = $this->buildFilterClauses($filters, $params);
670|        $extraJoins = $filterClauses['joins'];
671|        $extraWhere = $filterClauses['where'];
672|        
673|        // Se filtro deadline = sem-prazo, ajusta WHERE para permitir end_date NULL
674|        $endDateCondition = 'AND pt.end_date IS NOT NULL';
675|        if (!empty($filters['deadline']) && 
676|            (is_array($filters['deadline']) ? $filters['deadline'][0] : $filters['deadline']) === 'sem-prazo') {
677|            $endDateCondition = ''; // Remove condição para permitir NULL
678|        }
679|        
680|        // SQL: calcula performance dinâmica baseada em deadline vs data de realização
681|        $sql = "
682|            SELECT
683|                DATE_FORMAT(td.day, '%Y-%m') AS period,
684|                AVG(
685|                    CASE 
686|                        WHEN pt.id IS NULL THEN NULL
687|                        WHEN pt.end_date IS NULL THEN 50
688|                        WHEN td.day <= DATE(pt.end_date) THEN 100
689|                        ELSE GREATEST(0, 100 - 10 * DATEDIFF(td.day, DATE(pt.end_date)))
690|                    END
691|                ) AS avg_performance,
692|                COUNT(a.id) AS activity_count
693|            FROM activities a
694|            INNER JOIN timesheet_days td ON td.id = a.timesheet_day_id
695|            INNER JOIN company_members cm 
696|                ON cm.id = td.member_id
697|                AND cm.company_id = :companyId
698|            LEFT JOIN project_tasks pt ON pt.id = a.project_task_id
699|            {$extraJoins}
700|            WHERE a.company_id = :companyId
701|                AND a.project_task_id IS NOT NULL
702|                {$endDateCondition}
703|                {$extraWhere}
704|            GROUP BY period
705|            ORDER BY period ASC
706|        ";
707|
708|        $stmt = $this->em->getConnection()->prepare($sql);
709|        
710|        // Bind todos os parâmetros
711|        foreach ($params as $key => $value) {
712|            $stmt->bindValue($key, $value);
713|        }
714|        
715|        $results = $stmt->executeQuery()->fetchAllAssociative();
716|
717|        // Formata os dados para o gráfico
718|        $labels = [];
719|        $scores = [];
720|
721|        foreach ($results as $row) {
722|            $labels[] = $this->formatPeriodLabel($row['period']);
723|            $scores[] = round((float)$row['avg_performance'], 2);
724|        }
725|
726|        return [
727|            'labels' => $labels,
728|            'datasets' => [
729|                [
730|                    'label' => 'Performance Média da Empresa',
731|                    'data' => $scores,
732|                    'borderColor' => '#2196F3',
733|                    'backgroundColor' => 'rgba(33, 150, 243, 0.1)',
734|                    'tension' => 0.4
735|                ]
736|            ],
737|            'metadata' => [
738|                'total_activities' => array_sum(array_column($results, 'activity_count')),
739|                'periods_count' => count($results),
740|                'avg_performance_overall' => !empty($scores) ? round(array_sum($scores) / count($scores), 2) : 0,
741|                'company_id' => $companyId,
742|                'filters_applied' => !empty($filters) ? array_keys($filters) : []
743|            ]
744|        ];
745|    }
746|
747|    /**
748|     * GRÁFICO 2: Carga de Trabalho vs Produtividade da EMPRESA (horas vs score)
749|     * 
750|     * Compara horas trabalhadas com score de desempenho ao longo do tempo.
Request #6 deepseek-v4-flash P:37.35K C:214 CR:33.92K CW:0 2398ms
Reasoning
So `getPerformanceLine` uses `userAccess->getSelectedCompany()` to get the company. Company-level data is filtered by `company_id = :companyId` but it doesn't filter by member_id at all - actually, wait, this method was already the "company aggregate". Let me check `getWorkloadVsProductivity`, since the PR mentions "carga vs produtividade" as the primary test chart. Let me read it.
Tool Calls (1)
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{"file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"], "search_text": "function getWorkloadVsProductivity|function getTimeByActivityType|function getDeliveriesByProject|function getTeamBoxplotWithMember|function getProductivityRanking|function getProductivityVsAbsenceScatter"}
No matches found
Request #7 deepseek-v4-flash P:37.58K C:95 CR:37.5K CW:0 1440ms
Reasoning
Search function definition must match case. Let me try a simpler search.
Tool Calls (1)
code_search
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{"file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"], "search_text": "getWorkloadVsProductivity"}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php
Match lines: 2
64|            'chart-carga-produtividade' => $this->getWorkloadVsProductivity($memberId, $filters),
780|    public function getWorkloadVsProductivity(int $memberId, array $filters = []): array

Request #8 deepseek-v4-flash P:37.76K C:90 CR:37.63K CW:0 1546ms
Tool Calls (1)
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{"end_line": 950, "file_path": "src/Service/PeopleAnalytics/MemberAnalysisService.php", "start_line": 760}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php (Total lines: 2857)
IS_TRUNCATED: false
LINE_RANGE: 760-950
760|     * 
761|     * Fontes de dados:
762|     * - timesheet_days (base de dias trabalhados)
763|     * - activities (horas + percentual)
764|     * - project_tasks (deadline para cálculo de produtividade)
765|     * - company_members (filtro por empresa)
766|     * 
767|     * Agrupamento: Por dia (td.day)
768|     * 
769|     * Filtros suportados:
770|     * - start_date, end_date: Período de análise
771|     * - projeto: Filtra por IDs de projetos
772|     * - categoria-atividade: Filtra por nomes de categorias
773|     * - turno: Filtra por IDs de turnos
774|     * - satisfacao-dia: Filtra por níveis de satisfação (1-5)
775|     * 
776|     * @param int $memberId [FUTURO] Será usado para filtro individual
777|     * @param array $filters Filtros ['start_date' => 'Y-m-d', 'end_date' => 'Y-m-d', 'projeto' => [ids], ...]
778|     * @return array Duas séries: horas trabalhadas e score de produtividade
779|     */
780|    public function getWorkloadVsProductivity(int $memberId, array $filters = []): array
781|    {
782|        $company = $this->userAccess->getSelectedCompany();
783|        if (!$company) {
784|            return ['labels' => [], 'datasets' => []];
785|        }
786|
787|        $companyId = $company->getId();
788|        
789|        // Prepara parâmetros base
790|        $params = ['companyId' => $companyId];
791|        
792|        // Constrói cláusulas de filtro dinâmicas
793|        $filterClauses = $this->buildFilterClauses($filters, $params);
794|        $extraJoins = $filterClauses['joins'];
795|        $extraWhere = $filterClauses['where'];
796|        // HAVING não usado neste gráfico
797|
798|        // Query unificada: horas + produtividade por dia (COM FILTROS DINÂMICOS)
799|        $sql = "
800|            SELECT
801|                td.day AS period,
802|                SUM(
803|                    CASE 
804|                        WHEN a.id IS NULL THEN 0
805|                        WHEN a.percentage IS NOT NULL AND a.percentage > 0
806|                            THEN (td.work_period * 60 * (a.percentage / 100))
807|                        ELSE a.duration
808|                    END
809|                ) / 60.0 AS total_hours,
810|                AVG(
811|                    CASE 
812|                        WHEN pt.id IS NULL THEN NULL
813|                        WHEN td.day <= DATE(pt.end_date)
814|                            THEN 100
815|                        ELSE GREATEST(
816|                                0,
817|                                100 - 10 * DATEDIFF(td.day, DATE(pt.end_date))
818|                             )
819|                    END
820|                ) AS avg_productivity_score
821|            FROM timesheet_days td
822|            INNER JOIN company_members cm
823|                    ON cm.id = td.member_id
824|                   AND cm.company_id = :companyId
825|            LEFT JOIN activities a
826|                   ON a.timesheet_day_id = td.id
827|                  AND (a.company_id IS NULL OR a.company_id = cm.company_id)
828|            LEFT JOIN project_tasks pt
829|                   ON pt.id = a.project_task_id
830|            {$extraJoins}
831|            WHERE 1=1
832|                {$extraWhere}
833|            GROUP BY td.day
834|            ORDER BY td.day ASC
835|        ";
836|
837|        $stmt = $this->em->getConnection()->prepare($sql);
838|        
839|        // Bind dinâmico de todos os parâmetros
840|        foreach ($params as $key => $value) {
841|            $stmt->bindValue($key, $value);
842|        }
843|        
844|        $results = $stmt->executeQuery()->fetchAllAssociative();
845|
846|        // Formatar dados para o gráfico
847|        $labels = [];
848|        $hours = [];
849|        $scores = []; 
850|        foreach ($results as $row) {
851|            $labels[] = $this->formatPeriodLabel($row['period']);
852|            $hours[] = round((float)$row['total_hours'], 1);
853|            $scores[] = $row['avg_productivity_score'] !== null 
854|                ? round((float)$row['avg_productivity_score'], 2) 
855|                : 0;
856|        }
857|
858|        return [
859|            'labels' => $labels,
860|            'datasets' => [
861|                [
862|                    'label' => 'Horas Trabalhadas',
863|                    'data' => $hours,
864|                    'type' => 'bar',
865|                    'yAxisID' => 'y',
866|                    'backgroundColor' => 'rgba(54, 162, 235, 0.5)',
867|                ],
868|                [
869|                    'label' => 'Score de Produtividade',
870|                    'data' => $scores,
871|                    'type' => 'line',
872|                    'yAxisID' => 'y1',
873|                    'borderColor' => '#FF6384',
874|                    'backgroundColor' => 'rgba(255, 99, 132, 0.1)',
875|                    'tension' => 0.4
876|                ]
877|            ],
878|            'metadata' => [
879|                'total_days' => count($results),
880|                'total_hours' => round(array_sum($hours), 1),
881|                'avg_productivity' => !empty($scores) ? round(array_sum($scores) / count($scores), 2) : 0,
882|                'company_id' => $companyId
883|            ]
884|        ];
885|    }
886|
887|    /**
888|     * GRÁFICO 3: Rosca de Tempo por Tipo de Atividade da EMPRESA
889|     * 
890|     * Distribuição de horas trabalhadas agrupadas por activity_name_legacy.
891|     * Agrega dados de TODOS os membros da empresa.
892|     * 
893|     * Lógica de Cálculo de Horas:
894|     * - Se percentage > 0: horas = work_period × percentage
895|     * - Se tiver start_time e end_time: horas = diferença de tempo
896|     * - Se tiver apenas duration: horas = duration/60
897|     * - Se nada: horas = 0
898|     * 
899|     * Tipos vazios/nulos viram "Outros".
900|     * 
901|     * Fontes:
902|     * - activities (duration, percentage, start_time, end_time, activity_name_legacy)
903|     * - timesheet_days (work_period, day)
904|     * - company_members (filtro por empresa)
905|     * 
906|     * Filtros suportados:
907|     * - start_date, end_date: Período de análise
908|     * - categoria-atividade: Filtra por nomes de categorias
909|     * - projeto: Filtra por IDs de projetos
910|     * - dia-semana: Filtra por dias da semana
911|     * - turno: Filtra por IDs de turnos
912|     * - faixa-duracao: Filtra por faixas de duração
913|     * 
914|     * @param int $memberId [FUTURO] Será usado para filtro individual
915|     * @param array $filters Filtros ['start_date' => 'Y-m-d', 'categoria-atividade' => [nomes], ...]
916|     * @return array ['labels' => ['Criação de projeto', ...], 'data' => [15.98, 10.52, ...]]
917|     */
918|    public function getTimeByActivityType(int $memberId, array $filters = []): array
919|    {
920|        $company = $this->userAccess->getSelectedCompany();
921|        if (!$company) {
922|            return ['labels' => [], 'data' => []];
923|        }
924|
925|        $companyId = $company->getId();
926|        
927|        // Prepara parâmetros base
928|        $params = ['companyId' => $companyId];
929|        
930|        // Constrói cláusulas de filtro dinâmicas
931|        $filterClauses = $this->buildFilterClauses($filters, $params);
932|        $extraJoins = $filterClauses['joins'];
933|        $extraWhere = $filterClauses['where'];
934|        // HAVING não usado neste gráfico
935|
936|        // Query com lógica avançada de cálculo de horas (COM FILTROS DINÂMICOS)
937|        $sql = "
938|            SELECT 
939|                COALESCE(
940|                    NULLIF(TRIM(a.activity_name_legacy), ''), 
941|                    'Outros'
942|                ) AS activity_type,
943|                SUM(
944|                    CASE
945|                        WHEN a.percentage IS NOT NULL AND a.percentage > 0
946|                            THEN (td.work_period * (a.percentage / 100.0))
947|                        
948|                        WHEN a.start_time IS NOT NULL AND a.end_time IS NOT NULL
949|                            THEN TIME_TO_SEC(TIMEDIFF(a.end_time, a.start_time)) / 3600.0
950|
Request #9 deepseek-v4-flash P:40.19K C:1.02K CR:37.76K CW:0 8255ms
Reasoning
Interesting. These chart methods do not actually filter by `member_id` — they are company aggregate charts. Notice the docs even say "@param int $memberId [FUTURO] Será usado para filtro individual". Wait, `getWorkloadVsProductivity` gets a `$memberId` param but ignores it. The SQL has no filter on member. But wait - this is the module `analise_de_membro`... they use `member_id`/`membro` filters in `buildFilterClauses` with `cm.id IN (...)`. Wait, `getWorkloadVsProductivity` query does `INNER JOIN company_members cm ON cm.id = td.member_id`. And then `$extraWhere` from `buildFilterClauses` includes filters; if `filters['membro']` is set (converted by MemberAnalysisService to `[(int)$memberId]`), then `cm.id IN (:membro_0)` would be applied. So with the new code, `filters['membro']` is set to the member ID. This means the chart will be restricted to that member's data. Before this PR, would the old code pass `membro` in filters? The `getChartData` used to just dispatch with `$filters` as received. The `membro` filter is set in `buildFilterClauses`. In the old code, `$filters['membro']` may not have been set. But the normalizer previously (before the PR) mapped only `member`/`members` → `member_ids`, not `membro`. So before, only `member_id` key existed in normalized filters. And `buildFilterClauses` looks for `membro` key, not `member_id`. So the query likely never filtered by member in AI analysis. Anyway, this is the bug the PR fixes. Now the question for issue #2 (IDOR / company isolation): The company is scoped by `userAccess->getSelectedCompany()`. All queries filter by company_id. So data leakage is limited within the same company's data at company scope? But if member_id filters reduce to that member, a user in the same company could analyze any member's data? Actually within the company, that's presumably intended for people analytics. But across companies: the queries always filter `cm.company_id = :companyId` where company comes from the logged user's session — so a member ID from another company wouldn't match any rows since `td.member_id` is joined with `cm` filtered by `company_id`. So the IDOR risk is limited. Wait — but `getChartData` receives filters without `company_id` from the front (controller adds `company_id` from userContext into `$filters['company_id']`, but the chart methods don't use `$filters['company_id']`; they use `userAccess->getSelectedCompany()`). Fine. However, there's another angle: userAccess->getSelectedCompany() — this selects the company. But what about permission to view this specific member? Is there a permission check like a limited manager seeing only his team? There might be an authorization per member at the module route level. In the template flow, this chart_detail page is presumably already authorized to view the member's data. But the AI endpoint can be hit directly with any member_id within company. If the user normally only has visibility over certain members/areas (data isolation per user), then accepting arbitrary member_id from the client and no revalidation could be an IDOR within the company. Let me check how the module `analise_de_membro` chart_detail is used elsewhere: is there an existing non-AI endpoint (data endpoint) that the chart uses to display chart data, which validates the member belongs to the user's scope? Let me look at templates/people_analytics/chart_detail.html.twig and the JS that fetches chart data. Let's read the template area near the AI code. Also need to check `PeopleAnalyticsApiController` more broadly, including how this endpoint handles authorization (does it check permission for module?). Let's read the top of controller.
Tool Calls (2)
file_read
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{"end_line": 60, "file_path": "src/Controller/PeopleAnalyticsApiController.php", "start_line": 1}
File: src/Controller/PeopleAnalyticsApiController.php (Total lines: 170)
IS_TRUNCATED: false
LINE_RANGE: 1-60
1|<?php
2|
3|namespace App\Controller;
4|
5|use App\Security\UserContext;
6|use App\Service\PeopleAnalytics\Chart\ChartAiAnalysisService;
7|use App\Service\PeopleAnalytics\Chart\ChartFilterNormalizer;
8|use Psr\Log\LoggerInterface;
9|use Symfony\Bundle\FrameworkBundle\Controller\AbstractController;
10|use Symfony\Component\HttpFoundation\JsonResponse;
11|use Symfony\Component\HttpFoundation\Request;
12|use Symfony\Component\Routing\Annotation\Route;
13|
14|/**
15| * Controller para API REST do People Analytics
16| * Endpoints para análise de IA, filtros dinâmicos, exports, etc.
17| */
18|#[Route('/people-analytics/api')]
19|class PeopleAnalyticsApiController extends AbstractController
20|{
21|    public function __construct(
22|        private UserContext $userContext,
23|        private LoggerInterface $logger
24|    ) {}
25|
26|    /**
27|     * Endpoint para análise de IA de um gráfico
28|     * 
29|     * 🔮 FOCO PRINCIPAL: Análises Preditivas e Projeções
30|     * 
31|     * Este endpoint suporta dois tipos de análise:
32|     * 
33|     * 1. ANÁLISE DESCRITIVA (atual): O que aconteceu e está acontecendo
34|     * 2. ANÁLISE PREDITIVA (projeções): O que vai acontecer no futuro ⭐
35|     * 
36|     * PROJEÇÃO = A partir dos dados atuais, prever uma variação %X 
37|     * da variável Y para data futura t
38|     * 
39|     * Exemplo de Projeção:
40|     * "Com taxa de rotatividade histórica de 15% + características atuais 
41|     * (salários, bem-estar, engajamento), prevê-se um AUMENTO para 22% 
42|     * nos próximos 6 meses, com MAIOR RISCO no departamento de Tecnologia"
43|     * 
44|     * POST /people-analytics/api/{module}/chart/{chartId}/ai-analysis
45|     * 
46|     * Body para Análise Descritiva: {
47|     *   "filters": {...},
48|     *   "question": "Explique os principais insights e pontos de atenção"
49|     * }
50|     * 
51|     * Body para Análise Preditiva (Projeção): {
52|     *   "filters": {...},
53|     *   "question": "Qual será a taxa de rotatividade nos próximos 6 meses?",
54|     *   "analysis_type": "projection",
55|     *   "projection_config": {
56|     *     "time_horizon": "6 months",
57|     *     "target_variable": "turnover_rate",
58|     *     "breakdown_by": ["department", "seniority"]
59|     *   }
60|     * }
code_search
Show Details
{"file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"], "search_text": "userAccess->"}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php
Match lines: 8
658|        $company = $this->userAccess->getSelectedCompany();
782|        $company = $this->userAccess->getSelectedCompany();
920|        $company = $this->userAccess->getSelectedCompany();
1028|        $company = $this->userAccess->getSelectedCompany();
1136|        $company = $this->userAccess->getSelectedCompany();
1399|        $company = $this->userAccess->getSelectedCompany();
1564|        $company = $this->userAccess->getSelectedCompany();
1765|        $company = $this->userAccess->getSelectedCompany();

Request #10 deepseek-v4-flash P:42.12K C:870 CR:41.09K CW:0 7582ms
Reasoning
So the chart methods all use `userAccess->getSelectedCompany()`. This is company-level scoping. But the `member_id` is not validated against the user's visible scope (like team leader seeing only their team). That said, the AI endpoint uses the same chart services that the regular chart display uses, so if those don't check member-level access either, then the regular chart page presumably also doesn't. But the regular page likely gets its data from another endpoint in another controller (PeopleAnalyticsController), which might restrict members visible in the "membro" picker. Actually, the important thing for the review is whether this PR newly introduces a path where an arbitrary `member_id` is accepted by AI-analysis without verifying that the logged user has permission to view that member's data. Before this PR, `analise_de_membro` charts were resolved through the same resolver using `member_id` already required. Let me check the removed code in git history? The diff shows that `member_id` was already being read from `$filters['member_id']`. The new part adds fallback sources including `membro`, `member_ids[0]`, `memberId`, `company_member_id`, `companyMemberId`, `selected_member_id`. So the new attack surface is: previously member_id had to be present (the member picker presumably always sends member_id and only for members the user can see). Now it also accepts URL param member_id via template and these other keys, but still an attacker could set member_id directly anyway. So risk is not hugely increased since `member_id` was already accepted unvalidated. Hmm. Let me focus on where the "member selection" is validated. Let me look at the `UserAccessService::getSelectedCompany()` and how member list restrictions might exist. But given review scope, we need concrete potential issues. The IDOR concern is not newly introduced by this change since `member_id` was already accepted. But the new normalizer mapping `membro` → `member_ids` and fallback to first element, plus the template passing `member_id` from URL, potentially can produce inconsistent data. Actually wait, importantly: the fallback `$filters['membro'] = [(int) $memberId]` in MemberAnalysisService.getChartData and buildFilterClauses `cm.id IN (:membro)` would now restrict the chart queries to that member. Note the current SQL queries in the chart methods that this module uses are for *company aggregate* data. Wait, actually are these really the member-specific charts? The `match` statements link `chart-linha-desempenho` to `getPerformanceLine`, which is "Linha de Desempenho da EMPRESA". Hmm. Wait — the module analise_de_membro chart ids map to the SAME chart method names as the company dashboards? Let's look at what the module `analise_de_membro` display template is. chart_detail.html.twig with module 'analise_de_membro', chart ids like 'chart-linha-desempenho', 'chart-carga-produtividade', etc. So the member analysis page uses charts that in the earlier code didn't filter by member. This is the bug being fixed: the AI sends data of all company aggregated because `membro` filter wasn't being passed. OK. So now, `filters['membro']` being set restricts queries to that member. Now let's evaluate the main issues. Let me look at the ChartFilterNormalizer full file to understand the ordering and potential issues, plus ChartDerivedMetricsCalculator, and the template change and produtividade-dashboard.js diff.
Tool Calls (2)
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{"file_path": "src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php"}
File: src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php (Total lines: 223)
IS_TRUNCATED: false
LINE_RANGE: 1-223
1|<?php
2|
3|namespace App\Service\PeopleAnalytics\Chart;
4|
5|/**
6| * Normaliza filtros para formato consistente
7| * Converte diferentes formatos de entrada em estrutura padronizada
8| */
9|class ChartFilterNormalizer
10|{
11|    /**
12|     * Normaliza filtros aplicados
13|     * 
14|     * @param array $filters Filtros brutos da requisição
15|     * @return array Filtros normalizados
16|     */
17|    public function normalize(array $filters): array
18|    {
19|        $normalized = [];
20|
21|        // 1. Normalizar período textual para datas
22|        if (isset($filters['periodo']) && is_string($filters['periodo'])) {
23|            $dates = $this->resolvePeriodFilter($filters['periodo']);
24|            if ($dates) {
25|                $normalized['start_date'] = $dates['start_date'];
26|                $normalized['end_date'] = $dates['end_date'];
27|            }
28|            unset($filters['periodo']);
29|        }
30|
31|        // 2. Garantir que start_date e end_date existam
32|        if (!isset($filters['start_date']) || !isset($filters['end_date'])) {
33|            $defaultDates = $this->getDefaultDates();
34|            $normalized['start_date'] = $filters['start_date'] ?? $defaultDates['start_date'];
35|            $normalized['end_date'] = $filters['end_date'] ?? $defaultDates['end_date'];
36|        } else {
37|            $normalized['start_date'] = $filters['start_date'];
38|            $normalized['end_date'] = $filters['end_date'];
39|        }
40|
41|        // 3. Normalizar arrays de IDs
42|        $arrayFields = [
43|            'team_ids',
44|            'team_group_ids',
45|            'member_ids',
46|            'cost_center_ids',
47|            'supplier_ids',
48|            'category_ids',
49|            'status',
50|            'gender',
51|            'age_range',
52|            'education_level'
53|        ];
54|
55|        foreach ($arrayFields as $field) {
56|            if (isset($filters[$field])) {
57|                $normalized[$field] = $this->normalizeToArray($filters[$field]);
58|            }
59|        }
60|
61|        // 4. Normalizar IDs únicos para int
62|        $intFields = [
63|            'company_id',
64|            'team_id',
65|            'team_group_id',
66|            'member_id',
67|            'cost_center_id'
68|        ];
69|
70|        foreach ($intFields as $field) {
71|            if (isset($filters[$field])) {
72|                $normalized[$field] = (int) $filters[$field];
73|            }
74|        }
75|
76|        // 5. Mapear chaves alternativas
77|        $keyMappings = [
78|            'time_id' => 'team_ids',
79|            'team' => 'team_ids',
80|            'teams' => 'team_ids',
81|            'area' => 'team_group_ids',
82|            'areas' => 'team_group_ids',
83|            'membro' => 'member_ids',
84|            'member' => 'member_ids',
85|            'members' => 'member_ids',
86|        ];
87|
88|        foreach ($keyMappings as $oldKey => $newKey) {
89|            if (isset($filters[$oldKey])) {
90|                $value = $this->normalizeToArray($filters[$oldKey]);
91|                if (!isset($normalized[$newKey])) {
92|                    $normalized[$newKey] = $value;
93|                } else {
94|                    $normalized[$newKey] = array_unique(array_merge($normalized[$newKey], $value));
95|                }
96|            }
97|        }
98|
99|        if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) {
100|            $normalized['member_id'] = (int) reset($normalized['member_ids']);
101|        }
102|
103|        foreach (['memberId', 'company_member_id', 'companyMemberId', 'selected_member_id'] as $memberKey) {
104|            if (!isset($normalized['member_id']) && isset($filters[$memberKey]) && is_numeric($filters[$memberKey])) {
105|                $normalized['member_id'] = (int) $filters[$memberKey];
106|            }
107|        }
108|
109|        // 6. Copiar outros filtros não processados
110|        foreach ($filters as $key => $value) {
111|            if (!isset($normalized[$key]) && !in_array($key, array_keys($keyMappings))) {
112|                $normalized[$key] = $value;
113|            }
114|        }
115|
116|        return $normalized;
117|    }
118|
119|    /**
120|     * Resolve período textual para datas
121|     */
122|    private function resolvePeriodFilter(string $period): ?array
123|    {
124|        $endDate = new \DateTime();
125|        $startDate = new \DateTime();
126|
127|        switch ($period) {
128|            case 'ultimo_mes':
129|            case 'last_month':
130|                $startDate->modify('-1 month');
131|                break;
132|
133|            case 'ultimo_trimestre':
134|            case 'last_quarter':
135|                $startDate->modify('-3 months');
136|                break;
137|
138|            case 'ultimo_semestre':
139|            case 'last_semester':
140|                $startDate->modify('-6 months');
141|                break;
142|
143|            case 'ultimo_ano':
144|            case 'last_year':
145|                $startDate->modify('-1 year');
146|                break;
147|
148|            case 'ultimos_30_dias':
149|            case 'last_30_days':
150|                $startDate->modify('-30 days');
151|                break;
152|
153|            case 'ultimos_90_dias':
154|            case 'last_90_days':
155|                $startDate->modify('-90 days');
156|                break;
157|
158|            case 'este_mes':
159|            case 'this_month':
160|                $startDate = new \DateTime('first day of this month');
161|                break;
162|
163|            case 'este_ano':
164|            case 'this_year':
165|                $startDate = new \DateTime('first day of January this year');
166|                break;
167|
168|            default:
169|                return null;
170|        }
171|
172|        return [
173|            'start_date' => $startDate->format('Y-m-d'),
174|            'end_date' => $endDate->format('Y-m-d')
175|        ];
176|    }
177|
178|    /**
179|     * Obtém datas padrão (último mês)
180|     */
181|    private function getDefaultDates(): array
182|    {
183|        $endDate = new \DateTime();
184|        // Usar 6 meses para ter dados suficientes para análise de IA sem ser muito restritivo
185|        $startDate = (new \DateTime())->modify('-6 months');
186|
187|        return [
188|            'start_date' => $startDate->format('Y-m-d'),
189|            'end_date' => $endDate->format('Y-m-d')
190|        ];
191|    }
192|
193|    /**
194|     * Normaliza valor para array
195|     */
196|    private function normalizeToArray($value): array
197|    {
198|        if (is_array($value)) {
199|            return array_map('intval', array_filter($value));
200|        }
201|
202|        if (is_string($value)) {
203|            // Se for string com vírgulas, separar
204|            if (strpos($value, ',') !== false) {
205|                return array_map('intval', explode(',', $value));
206|            }
207|            // Se for string numérica, converter para int
208|            if (is_numeric($value)) {
209|                return [(int) $value];
210|            }
211|            return [$value];
212|        }
213|
214|        if (is_numeric($value)) {
215|            return [(int) $value];
216|        }
217|
218|        return [];
219|    }
220|}
221|
222|
223|
file_read_diff
Show Details
{"path_array": ["public/js/people-analytics/modules/produtividade-dashboard.js"]}
==== FILE: public/js/people-analytics/modules/produtividade-dashboard.js ====
diff --git a/public/js/people-analytics/modules/produtividade-dashboard.js b/public/js/people-analytics/modules/produtividade-dashboard.js
--- a/public/js/people-analytics/modules/produtividade-dashboard.js
+++ b/public/js/people-analytics/modules/produtividade-dashboard.js
@@ -277,15 +277,6 @@
     }
   }
 
-  function setAnalysisLoading(key, loading) {
-    const btn = document.querySelector(`[data-analysis="${key}"]`);
-    if (!btn) return;
-    btn.disabled = loading;
-    btn.classList.toggle('is-loading', loading);
-    const label = btn.querySelector('.pa-prod-analysis__label');
-    if (label) label.textContent = loading ? 'Gerando...' : 'Gerar Análise';
-  }
-
   function getAnalysisPanel(key, createIfMissing) {
     const btn = document.querySelector(`[data-analysis="${key}"]`);
     const card = btn && btn.closest('.pa-prod-card');
@@ -301,39 +292,6 @@
     return panel;
   }
 
-  function renderAnalysisList(title, items) {
-    const cleanItems = Array.isArray(items) ? items.filter(Boolean) : [];
-    if (cleanItems.length === 0) return '';
-
-    return `
-      <div class="pa-prod-analysis-panel__section">
-        <strong>${escapeHtml(title)}</strong>
-        <ul>
-          ${cleanItems.map((item) => `<li>${escapeHtml(item)}</li>`).join('')}
-        </ul>
-      </div>`;
-  }
-
-  function renderAnalysisResult(key, analysis) {
-    const panel = getAnalysisPanel(key, true);
-    if (!panel) return;
-
-    panel.innerHTML = `
-      <div class="pa-prod-analysis-panel__header">
-        <img src="/images/ia_images/adriana.png" alt="Adriana" class="pa-prod-analysis-panel__avatar">
-        <div>
-          <span class="pa-prod-analysis-panel__eyebrow">Análise da Adriana</span>
-          <h4>${escapeHtml(analysis.title || 'Análise do gráfico')}</h4>
-        </div>
-      </div>
-      ${analysis.summary ? `<p class="pa-prod-analysis-panel__summary">${escapeHtml(analysis.summary)}</p>` : ''}
-      ${renderAnalysisList('Principais insights', analysis.key_insights)}
-      ${renderAnalysisList('Pontos de atenção', analysis.attention_points)}
-      ${renderAnalysisList('Ações recomendadas', analysis.recommended_actions)}
-      ${renderAnalysisList('Limitações', analysis.limitations)}
-    `;
-  }
-
   function setHeatmapInsightVisible(visible, text) {
     const insight = document.querySelector('[data-heatmap-insight]');
     if (!insight) return;
@@ -369,42 +327,6 @@
     return `O melhor ponto do período é ${day}, às ${hour}, com ${normalizePercent(best.value)}%. A média dos horários mapeados é de ${normalizePercent(average.toFixed(1))}%, sugerindo priorizar essa janela para tarefas de maior foco.`;
   }
 
-  function requestAnalysis(key) {
-    const chartId = ANALYSIS_CHART_ID[key];
-    if (!chartId) return;
-
-    setAnalysisLoading(key, true);
-
-    fetch(`${API_BASE}/chart/${encodeURIComponent(chartId)}/ai-analysis`, {
-      method: 'POST',
-      credentials: 'same-origin',
-      headers: {
-        'Accept': 'application/json',
-        'Content-Type': 'application/json',
-        'X-Requested-With': 'XMLHttpRequest',
-      },
-      body: JSON.stringify({
-        filters: currentFilters || {},
-        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.',
-      }),
-    })
-      .then((res) => {
-        if (!res.ok) throw new Error('HTTP ' + res.status);
-        return res.json();
-      })
-      .then((json) => {
-        if (!json || json.success !== true) {
-          throw new Error((json && json.error) || 'Não foi possível gerar a análise.');
-        }
-        renderAnalysisResult(key, json.ai_analysis || {});
-      })
-      .catch((err) => {
-        console.error('[Produtividade] análise IA:', err);
-        notify(err.message || 'Não foi possível gerar a análise por IA.');
-      })
-      .finally(() => setAnalysisLoading(key, false));
-  }
-
   function destroyChart(id) {
     const existing = chartRegistry.get(id);
     if (existing) {
@@ -1273,9 +1195,18 @@
   // EVENTOS / FILTROS
   // =====================================================================
   function bindUiActions() {
-    document.querySelectorAll('[data-analysis]').forEach((btn) => {
-      btn.addEventListener('click', () => requestAnalysis(btn.getAttribute('data-analysis')));
-    });
+    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
+      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
+        module: 'produtividade',
+        chartMap: ANALYSIS_CHART_ID,
+        selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]',
+        getFilters: function () {
+          return currentFilters || {};
+        },
+        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.',
+      });
+    }
+
     document.querySelectorAll('[data-pager-action]').forEach((btn) => {
       btn.addEventListener('click', () => {
         const pager = btn.closest('[data-pager]');
Request #11 deepseek-v4-flash P:46.45K C:401 CR:42.88K CW:0 3564ms
Reasoning
Now let's look at how the template chart_detail.html.twig handles the AI code, and how the "produtividade" module uses selector '.pa-prod-dash .pa-prod-analysis[data-analysis]' but the DEFAULT_SELECTOR in the shared helper is '.pa-prod-analysis[data-analysis]'. Also, note the shared JS helper is a NEW file. Is it being loaded in templates? Since the file is new but `templates/people_analytics/produtividade_dashboard.html.twig` was modified (+1 line), it probably adds the script tag. Let me check what's in produtividade_dashboard.html.twig diff, and chart_detail.html.twig's script includes. Also check `MemberAnalysisService` — the helper `renderAnalysis` no longer renders 'Projeções' (projections) key? Actually the old one had no projections; new helper renders projections too. Wait: in the shared JS `renderAnalysis`, it renders `analysis.projections` under title 'Projeções'. But chart_detail.html.twig AI analysis JS may already render the same output inline. Now chart_detail.html.twig has its own code (not using the shared helper?). In chart_detail the diff shows only a small block about deleting date filters, so the existing AI code stays there. The new shared helper is used by produtividade-dashboard. And possibly chart_detail for member module? Let's examine chart_detail.html.twig's scripts near the AI analysis call. Let me read the template around the AI code and check includes of scripts.
Tool Calls (1)
file_read_diff
Show Details
{"path_array": ["templates/people_analytics/produtividade_dashboard.html.twig", "templates/people_analytics/chart_detail.html.twig"]}
==== FILE: templates/people_analytics/produtividade_dashboard.html.twig ====
diff --git a/templates/people_analytics/produtividade_dashboard.html.twig b/templates/people_analytics/produtividade_dashboard.html.twig
--- a/templates/people_analytics/produtividade_dashboard.html.twig
+++ b/templates/people_analytics/produtividade_dashboard.html.twig
@@ -354,6 +354,7 @@
 	<script src="https://code.highcharts.com/modules/accessibility.js"></script>
 
 	<script src="{{ asset('js/people-analytics/print-report.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
+	<script src="{{ asset('js/people-analytics/modules/adriana-chart-analysis.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
 	<script src="{{ asset('js/people-analytics/modules/produtividade-dashboard.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
 
 	<script>

==== FILE: templates/people_analytics/chart_detail.html.twig ====
diff --git a/templates/people_analytics/chart_detail.html.twig b/templates/people_analytics/chart_detail.html.twig
--- a/templates/people_analytics/chart_detail.html.twig
+++ b/templates/people_analytics/chart_detail.html.twig
@@ -2619,6 +2619,20 @@ document.addEventListener('DOMContentLoaded', function() {
 		if (window.PeopleAnalyticsPermission && window.PeopleAnalyticsPermission.autoFilters) {
 			Object.assign(currentFilters, window.PeopleAnalyticsPermission.autoFilters);
 		}
+
+		{% if module == 'analise_de_membro' %}
+		var urlParams = new URLSearchParams(window.location.search);
+		var hasExplicitPeriod = urlParams.has('periodo') || urlParams.has('start_date') || urlParams.has('end_date');
+		if (!hasExplicitPeriod) {
+			delete currentFilters.periodo;
+			delete currentFilters.start_date;
+			delete currentFilters.end_date;
+		}
+		var memberId = urlParams.get('member_id') || urlParams.get('membro');
+		if (memberId) {
+			currentFilters.member_id = memberId;
+		}
+		{% endif %}
 		
 		var endpoint = '/people-analytics/api/{{ module }}/chart/{{ chart.id }}/ai-analysis';
 		
Request #12 deepseek-v4-flash P:47.43K C:156 CR:46.72K CW:0 1770ms
Reasoning
Let me read the template context around that script section to understand what `currentFilters` is and how the AI analysis is sent (this is the chart_detail page, which is used for all modules including analise_de_membro). Let me read lines ~2500-2700 of chart_detail.html.twig.
Tool Calls (1)
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{"end_line": 2700, "file_path": "templates/people_analytics/chart_detail.html.twig", "start_line": 2450}
File: templates/people_analytics/chart_detail.html.twig (Total lines: 3423)
IS_TRUNCATED: false
LINE_RANGE: 2450-2700
2450|			chart: { type: 'funnel', height: height },
2451|			title: { text: null },
2452|			plotOptions: {
2453|				funnel: {
2454|					dataLabels: {
2455|						enabled: true,
2456|						format: '<b>{point.name}</b>: {point.y}',
2457|						softConnector: true
2458|					},
2459|					center: ['50%', '50%'],
2460|					neckWidth: '30%',
2461|					neckHeight: '25%',
2462|					width: '80%'
2463|				}
2464|			},
2465|			series: data.series
2466|		});
2467|	}
2468|
2469|	function renderSaudeOrganizacionalScatter(containerId, data, height) {
2470|		console.log('[SaudeOrg] renderSaudeOrganizacionalScatter:', {
2471|			containerId: containerId,
2472|			xAxisTitle: data.xAxisTitle,
2473|			yAxisTitle: data.yAxisTitle,
2474|			seriesCount: data.series ? data.series.length : 0,
2475|			firstSeriesDataCount: data.series && data.series[0] ? data.series[0].data.length : 0
2476|		});
2477|
2478|		Highcharts.chart(containerId, {
2479|			chart: { type: 'scatter', height: height, zoomType: 'xy' },
2480|			title: { text: null },
2481|			xAxis: { 
2482|				title: { text: data.xAxisTitle || 'Índice' },
2483|				gridLineWidth: 1,
2484|				labels: { style: { fontSize: '11px' } }
2485|			},
2486|			yAxis: { 
2487|				title: { text: data.yAxisTitle || 'Score' },
2488|				labels: { style: { fontSize: '11px' } }
2489|			},
2490|			legend: {
2491|				enabled: data.series && data.series.length > 1,
2492|				itemStyle: { fontSize: '11px', fontWeight: '400', color: '#6B7280' }
2493|			},
2494|			plotOptions: {
2495|				scatter: {
2496|					marker: { radius: 8, symbol: 'circle' },
2497|					dataLabels: {
2498|						enabled: true,
2499|						format: '{point.name}',
2500|						style: { fontSize: '10px', fontWeight: 'normal' }
2501|					}
2502|				}
2503|			},
2504|			tooltip: {
2505|				formatter: function() {
2506|					var tooltip = '<b>' + (this.point.name || 'Ponto') + '</b><br/>';
2507|					tooltip += (data.xAxisTitle || 'X') + ': ' + this.x + '<br/>';
2508|					tooltip += (data.yAxisTitle || 'Y') + ': ' + this.y;
2509|					if (this.point.total !== undefined) {
2510|						tooltip += '<br/>Total: ' + this.point.total;
2511|					}
2512|					if (this.point.area !== undefined) {
2513|						tooltip += '<br/>Área: ' + this.point.area;
2514|					}
2515|					return tooltip;
2516|				}
2517|			},
2518|			series: data.series
2519|		});
2520|		console.log('[SaudeOrg] Scatter chart rendered');
2521|	}
2522|
2523|	/**
2524|	 * Mostra mensagem quando não há dados
2525|	 */
2526|	function showNoDataMessage(containerId) {
2527|		var container = document.getElementById(containerId);
2528|		if (!container) return;
2529|
2530|		container.innerHTML = '<div class="d-flex flex-column justify-content-center align-items-center h-100 text-muted" style="min-height: 300px;">' +
2531|			'<i class="fas fa-chart-bar fa-3x mb-3" style="opacity: 0.3;"></i>' +
2532|			'<p class="mb-1" style="font-size: 16px; font-weight: 500;">Nenhum dado disponível</p>' +
2533|			'<small style="opacity: 0.7;">Os dados serão exibidos quando houver informações cadastradas</small>' +
2534|			'</div>';
2535|	}
2536|
2537|	// ===================================
2538|	// EXPORT PDF - Gerenciado por export-pdf.js
2539|	// ===================================
2540|
2541|	// ===================================
2542|	// AI ANALYSIS - Gerar e exibir análise ao lado
2543|	// ===================================
2544|	var aiGenerateBtn = document.getElementById('pa-ai-generate-btn');
2545|	var aiCol = document.getElementById('pa-ai-col');
2546|	var chartCol = document.getElementById('pa-chart-col');
2547|	var aiCloseBtn = document.getElementById('pa-ai-close-btn');
2548|	var aiLoadingDiv = document.getElementById('pa-ai-loading');
2549|	var aiResultDiv = document.getElementById('pa-ai-result');
2550|	
2551|	function reflowChart() {
2552|		setTimeout(function() {
2553|			var container = document.getElementById('{{ chart.id }}-detail-container');
2554|			if (container && Highcharts.charts) {
2555|				Highcharts.charts.forEach(function(chart) {
2556|					if (chart && chart.container && chart.container.id === container.id) {
2557|						chart.reflow();
2558|					}
2559|				});
2560|			}
2561|		}, 300);
2562|	}
2563|	
2564|	if (aiGenerateBtn && aiCol && chartCol) {
2565|		// Gerar análise ao clicar no botão
2566|		aiGenerateBtn.addEventListener('click', function() {
2567|			// Capturar altura do card do gráfico ANTES de mudar as colunas
2568|			var chartCard = chartCol.querySelector('.pa-chart-detail__card');
2569|			var chartHeight = chartCard ? chartCard.offsetHeight : 400;
2570|			
2571|			// Mudar colunas: gráfico col-8, IA col-4
2572|			chartCol.classList.remove('col-12');
2573|			chartCol.classList.add('col-8');
2574|			aiCol.style.display = 'block';
2575|			
2576|			// Definir altura do painel de IA igual ao card do gráfico
2577|			aiCol.style.height = chartHeight + 'px';
2578|			
2579|			// Mostrar loading, esconder resultado
2580|			aiLoadingDiv.style.display = 'flex';
2581|			aiResultDiv.style.display = 'none';
2582|			
2583|			// Reajustar gráfico
2584|			reflowChart();
2585|			
2586|			// Buscar análise de IA do backend
2587|			loadAiAnalysis();
2588|		});
2589|		
2590|		// Fechar análise ao clicar no X
2591|		if (aiCloseBtn) {
2592|			aiCloseBtn.addEventListener('click', function() {
2593|				// Voltar ao tamanho original: gráfico col-12
2594|				chartCol.classList.remove('col-8');
2595|				chartCol.classList.add('col-12');
2596|				aiCol.style.display = 'none';
2597|				aiCol.style.height = '';
2598|				
2599|				// Reajustar gráfico
2600|				reflowChart();
2601|			});
2602|		}
2603|	}
2604|
2605|	// ===================================
2606|	// FUNÇÃO: CARREGAR ANÁLISE DE IA
2607|	// ===================================
2608|	function loadAiAnalysis() {
2609|		var loadingDiv = document.getElementById('pa-ai-loading');
2610|		var resultDiv = document.getElementById('pa-ai-result');
2611|		
2612|		// Obter filtros atuais (se houver)
2613|		var currentFilters = {};
2614|		if (typeof window.PeopleAnalyticsFilters !== 'undefined' && window.PeopleAnalyticsFilters.getCurrentFilters) {
2615|			currentFilters = window.PeopleAnalyticsFilters.getCurrentFilters();
2616|		}
2617|		
2618|		// Adicionar filtros de permissão automáticos
2619|		if (window.PeopleAnalyticsPermission && window.PeopleAnalyticsPermission.autoFilters) {
2620|			Object.assign(currentFilters, window.PeopleAnalyticsPermission.autoFilters);
2621|		}
2622|
2623|		{% if module == 'analise_de_membro' %}
2624|		var urlParams = new URLSearchParams(window.location.search);
2625|		var hasExplicitPeriod = urlParams.has('periodo') || urlParams.has('start_date') || urlParams.has('end_date');
2626|		if (!hasExplicitPeriod) {
2627|			delete currentFilters.periodo;
2628|			delete currentFilters.start_date;
2629|			delete currentFilters.end_date;
2630|		}
2631|		var memberId = urlParams.get('member_id') || urlParams.get('membro');
2632|		if (memberId) {
2633|			currentFilters.member_id = memberId;
2634|		}
2635|		{% endif %}
2636|		
2637|		var endpoint = '/people-analytics/api/{{ module }}/chart/{{ chart.id }}/ai-analysis';
2638|		
2639|		console.log('[AI] Solicitando análise...', {
2640|			module: '{{ module }}',
2641|			chartId: '{{ chart.id }}',
2642|			filters: currentFilters
2643|		});
2644|		
2645|		fetch(endpoint, {
2646|			method: 'POST',
2647|			headers: {
2648|				'Content-Type': 'application/json',
2649|				'X-Requested-With': 'XMLHttpRequest'
2650|			},
2651|			credentials: 'same-origin',
2652|			body: JSON.stringify({
2653|				filters: currentFilters,
2654|				question: 'Explique os principais insights e pontos de atenção deste gráfico'
2655|			})
2656|		})
2657|		.then(function(response) {
2658|			if (!response.ok) {
2659|				throw new Error('Erro na requisição: ' + response.status);
2660|			}
2661|			return response.json();
2662|		})
2663|		.then(function(data) {
2664|			console.log('[AI] Análise recebida:', data);
2665|			
2666|			if (data.success && data.ai_analysis) {
2667|				renderAiAnalysis(data.ai_analysis);
2668|			} else {
2669|				throw new Error(data.error || 'Erro ao processar análise');
2670|			}
2671|			
2672|			loadingDiv.style.display = 'none';
2673|			resultDiv.style.display = 'block';
2674|		})
2675|		.catch(function(error) {
2676|			console.error('[AI] Erro ao carregar análise:', error);
2677|			
2678|			resultDiv.innerHTML = '<div class="pa-chart-detail__ai-error">' +
2679|				'<i class="fas fa-exclamation-triangle"></i>' +
2680|				'<p><strong>Erro ao carregar análise</strong></p>' +
2681|				'<p>' + error.message + '</p>' +
2682|				'<p><small>Tente novamente em alguns instantes.</small></p>' +
2683|				'</div>';
2684|			
2685|			loadingDiv.style.display = 'none';
2686|			resultDiv.style.display = 'block';
2687|		});
2688|	}
2689|
2690|	// ===================================
2691|	// FUNÇÃO: RENDERIZAR ANÁLISE DE IA
2692|	// ===================================
2693|	function renderAiAnalysis(analysis) {
2694|		var resultDiv = document.getElementById('pa-ai-result');
2695|		
2696|		if (!analysis) {
2697|			resultDiv.innerHTML = '<p>Nenhuma análise disponível.</p>';
2698|			return;
2699|		}
2700|		
Request #13 deepseek-v4-flash P:50.72K C:1.11K CR:47.49K CW:0 9557ms
Reasoning
Now let's think about the divergence issue (issue #1). Scenario for `analise_de_membro`: - Template sends `currentFilters` after removing `periodo`/`start_date`/`end_date` if the URL doesn't have explicit period params, plus `member_id` from URL. Wait, but in the chart_detail page for the member module, how does the page get chart data? Probably via `PeopleAnalyticsFilters.getCurrentFilters()` from the page's data. That may include `periodo` default e.g. 'ultimo-mes', from a default filter set. The bug: the chart was displayed with some default period in the UI (perhaps the chart JS requested data with start_date/end_date defaulting to last 6 months), and the chart shows data. But the AI analysis then used normalized filters with default dates added by the normalizer... Actually, let's reconstruct the original bug flow: - The chart detail page displays chart data via a chart data endpoint. That endpoint presumably takes `currentFilters` and the chart data module (e.g. MemberAnalysisService.getWorkloadVsProductivity) applies filters including date fields (start_date/end_date), and if not present the queries return the FULL dataset since no WHERE date filter. Wait actually, let's look at the chart data route that the detail chart page uses — there may be another controller with `getChartData`. Let me look for a member chart data route. The bug: "gráficos com dados reais eram enviados à IA como vazios por problemas de filtros". Hmm, chart was showing data but AI got empty data. So possibly in the AI request flow, the frontend sent `currentFilters` which included `periodo`? Let's see. For `analise_de_membro`, the autoFilters maybe set start_date/end_date default to a date range before the member had data (because the member's data period doesn't include default date range), whereas the chart display (which is for the whole company? or the actual data displayed uses member-specific period) shows data. OK, honestly the intent seems: for member analysis, when the dashboard doesn't specify an explicit period, the default date range (6 months) injected by the normalizer may clip out the member's data (e.g., member joined recently but has older data? or other reasons) — producing "empty" chart payloads sent to the AI. Actually inverse: the default date range narrows data. So they removed the date filter to let the whole dataset go through. But the divergence: controller unsets `start_date`/`end_date` if raw payload has no `periodo`, even if raw payload includes explicit `start_date`/`end_date` keys. That means: user on the member dashboard sets a custom date range (start_date & end_date) via UI (no `periodo` key), the frontend sends both, controller unsets them → the AI receives full period data while the chart displays only the chosen period. That's a real inconsistency: the analysis won't match the displayed chart. Wait let me verify: The controller condition is: ``` if ($module === 'analise_de_membro' && !isset($rawFilters['periodo'])) { unset($filters['start_date'], $filters['end_date']); } ``` Yes. If the frontend sends explicit `start_date`/`end_date` but no `periodo`, the controller removes them. The intent was probably: if the dashboard did not request an explicit period, drop default dates injected by normalizer. But the correct test should be checking whether the raw payload has start_date/end_date at all (as the resolver does). The resolver's condition matches that intent: only remove if none of periodo/start_date/end_date present in raw filters. So there IS an inconsistency: the controller condition is broader (removes dates even when explicitly provided). This is a genuine bug introduced in this PR — if the member page sends explicit custom dates, they'll be stripped, making the analysis period not match the displayed chart. Medium/High. Let me confirm how dates get into the raw payload from chart_detail for analise_de_membro. From the chart detail UI there may be a filter bar with date fields? For member module, perhaps the filters come from the page URL. Hmm, we must check whether the member module page actually sends explicit start_date/end_date from the filter UI. Actually, chart_detail.html.twig is used for the module chart detail page of every module (with filter selectors?). Possibly each chart detail page has a period filter dropdown at top (`periodo`?). Let me look at where currentFilters comes from, and how the member page displays. Actually chart detail page for a member probably receives query params like ?member_id=..&periodo=ultimo-mes or maybe &start_date&end_date. `PeopleAnalyticsFilters.getCurrentFilters()` reads the URL or filters UI state. Let me search for `PeopleAnalyticsFilters` definition and how it builds currentFilters (date range from UI).
Tool Calls (1)
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Show Details
{"search_text": "PeopleAnalyticsFilters"}
File: public/js/people-analytics/chart-detail-filters.js
Match lines: 1
15|	window.PeopleAnalyticsFilters = {

File: public/js/people-analytics/import/chart-import-handler.js
Match lines: 2
183|                if (window.PeopleAnalyticsFilters && typeof window.PeopleAnalyticsFilters.getCurrentFilters === 'function') {
184|                    const currentFilters = window.PeopleAnalyticsFilters.getCurrentFilters();

File: public/js/people-analytics/modules/atracao-retencao-charts.js
Match lines: 2
525|            if (window.PeopleAnalyticsFilters && window.PeopleAnalyticsFilters.selectedFilters) {
527|                window.PeopleAnalyticsFilters.selectedFilters.forEach(function(filter) {

File: public/js/people-analytics/modules/bem-estar-ausencia-charts.js
Match lines: 5
316|		if (typeof window.PeopleAnalyticsFilters !== 'undefined') {
317|			window.PeopleAnalyticsFilters.selectedFilters = [];
318|			window.PeopleAnalyticsFilters.syncCardsWithFilters();
319|			window.PeopleAnalyticsFilters.renderFilterTags();
320|			window.PeopleAnalyticsFilters.updateAddButtonState();

File: templates/company/_member_analytics_tab.html.twig
Match lines: 3
367|		if (typeof window.PeopleAnalyticsFilters !== 'undefined') {
368|			window.PeopleAnalyticsFilters.modalId = 'modal-global-filters';
369|			window.PeopleAnalyticsFilters.init();

File: templates/people_analytics/chart_detail.html.twig
Match lines: 5
2614|		if (typeof window.PeopleAnalyticsFilters !== 'undefined' && window.PeopleAnalyticsFilters.getCurrentFilters) {
2615|			currentFilters = window.PeopleAnalyticsFilters.getCurrentFilters();
2790|	if (typeof window.PeopleAnalyticsFilters !== 'undefined') {
2792|		window.PeopleAnalyticsFilters.setChartId('{{ chart.id }}');
2793|		window.PeopleAnalyticsFilters.init();

File: templates/people_analytics/module_detail.html.twig
Match lines: 3
535|		if (typeof window.PeopleAnalyticsFilters !== 'undefined') {
536|			window.PeopleAnalyticsFilters.modalId = 'modal-global-filters';
537|			window.PeopleAnalyticsFilters.init();

Request #14 deepseek-v4-flash P:52.39K C:57 CR:51.71K CW:0 1117ms
Tool Calls (1)
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{"file_path": "public/js/people-analytics/chart-detail-filters.js"}
File: public/js/people-analytics/chart-detail-filters.js (Total lines: 856)
IS_TRUNCATED: true
LINE_RANGE: 1-500
1|/**
2| * People Analytics - Sistema de Filtros
3| * 
4| * Funcionalidades:
5| * - Máximo 4 filtros
6| * - Modal offcanvas com accordion
7| * - Multi-select (toggle on/off) - aplicação imediata
8| * - Busca em tempo real (opções + títulos das seções)
9| * - Tags editáveis e removíveis
10| * - Suporta chart_detail e module_detail (modal ID configurável)
11| */
12|(function() {
13|	'use strict';
14|
15|	window.PeopleAnalyticsFilters = {
16|		MAX_FILTERS: 4,
17|		selectedFilters: [], // Array de { type, label, value, rawValue }
18|		modalId: 'modal-chart-filters', // ID padrão do modal (pode ser sobrescrito)
19|		chartId: null, // ID do gráfico atual (será definido pelo dashboard)
20|		isLoading: false, // Flag para evitar requisições duplicadas
21|		
22|		/**
23|		 * Mapeamento de chartId para endpoints da API
24|		 * Cada gráfico do módulo tem seu endpoint específico
25|		 */
26|		CHART_ENDPOINTS: {
27|			// Módulo: Análise do Membro
28|			'chart-linha-desempenho': '/people-analytics/api/member-analysis/performance-line',
29|			'chart-carga-produtividade': '/people-analytics/api/member-analysis/workload-productivity',
30|			'chart-tempo-atividade-membro': '/people-analytics/api/member-analysis/time-by-activity',
31|			'chart-entregas-projeto': '/people-analytics/api/member-analysis/deliveries-by-project',
32|			'chart-boxplot-equipe-membro': '/people-analytics/api/member-analysis/team-boxplot',
33|			'chart-ranking-produtividade': '/people-analytics/api/member-analysis/productivity-ranking',
34|			'chart-scatter-prod-ausencia': '/people-analytics/api/member-analysis/productivity-absence-scatter',
35|			
36|			// Módulo: Produtividade
37|			'chart-produtividade-tempo': '/people-analytics/api/produtividade/grafico/linha-tempo',
38|			'chart-volume-entregas': '/people-analytics/api/produtividade/grafico/volume-entregas',
39|			'chart-produtividade-equipe': '/people-analytics/api/produtividade/grafico/produtividade-equipe',
40|			'chart-entregas-equipe': '/people-analytics/api/produtividade/grafico/entregas-equipe',
41|			'chart-boxplot-produtividade': '/people-analytics/api/produtividade/grafico/boxplot',
42|			'chart-rosca-atividades': '/people-analytics/api/produtividade/grafico/tempo-atividade',
43|			'chart-heatmap-hora-dia': '/people-analytics/api/produtividade/grafico/heatmap',
44|			'chart-scatter-prod-ausencias': '/people-analytics/api/produtividade/grafico/scatter-ausencias',
45|			'chart-scatter-prod-engajamento': '/people-analytics/api/produtividade/grafico/scatter-clima',
46|			
47|			// Módulo: Diversidade e Inclusão
48|			'chart-genero-area': '/people-analytics/api/diversidade/genero-area',
49|			'chart-raca-cor': '/people-analytics/api/diversidade/raca-cor',
50|			'chart-faixa-etaria': '/people-analytics/api/diversidade/faixa-etaria',
51|			'chart-lideranca-total-grupo': '/people-analytics/api/diversidade/lideranca-total',
52|			'chart-indice-diversidade-area': '/people-analytics/api/diversidade/indice-area',
53|			'chart-pcd-area': '/people-analytics/api/diversidade/pcd-area',
54|			'chart-heatmap-diversidade-engajamento': '/people-analytics/api/diversidade/heatmap-engajamento',
55|			'chart-evolucao-diversidade': '/people-analytics/api/diversidade/evolucao',
56|			'chart-headcount-liquido': '/people-analytics/api/diversidade/headcount-liquido',
57|			'chart-turnover-grupo': '/people-analytics/api/diversidade/turnover-grupo',
58|			'chart-scatter-diversidade-turnover': '/people-analytics/api/diversidade/scatter-turnover',
59|			
60|			// Módulo: Bem-estar e Ausência
61|			'chart-evolucao-licencas': '/people-analytics/api/bem-estar-ausencia/grafico/chart-evolucao-licencas',
62|			'chart-evolucao-faltas': '/people-analytics/api/bem-estar-ausencia/grafico/chart-evolucao-faltas',
63|			'chart-ausencias-motivo': '/people-analytics/api/bem-estar-ausencia/grafico/chart-ausencias-motivo',
64|			'chart-ausencias-area-tipo': '/people-analytics/api/bem-estar-ausencia/grafico/chart-ausencias-area-tipo',
65|			'chart-heatmap-frequencia': '/people-analytics/api/bem-estar-ausencia/grafico/chart-heatmap-frequencia',
66|			'chart-evolucao-bem-estar': '/people-analytics/api/bem-estar-ausencia/grafico/chart-evolucao-bem-estar',
67|			'chart-bem-estar-area': '/people-analytics/api/bem-estar-ausencia/grafico/chart-bem-estar-area',
68|			'chart-bem-estar-dimensoes': '/people-analytics/api/bem-estar-ausencia/grafico/chart-bem-estar-dimensoes',
69|			'chart-correlacao-bem-estar-ausencia': '/people-analytics/api/bem-estar-ausencia/grafico/chart-correlacao-bem-estar-ausencia',
70|			'chart-turnover-ausencia-area': '/people-analytics/api/bem-estar-ausencia/grafico/chart-turnover-ausencia-area',
71|			'chart-custo-ausencias-area': '/people-analytics/api/bem-estar-ausencia/grafico/chart-custo-ausencias-area',
72|			'chart-participacao-avaliacoes': '/people-analytics/api/bem-estar-ausencia/grafico/chart-participacao-avaliacoes',
73|			
74|			// Módulo: Engajamento
75|			'chart-evolucao-enps': '/people-analytics/api/engajamento/grafico/chart-evolucao-enps',
76|			'chart-volume-respostas': '/people-analytics/api/engajamento/grafico/chart-volume-respostas',
77|			'chart-distribuicao-enps': '/people-analytics/api/engajamento/grafico/chart-distribuicao-enps',
78|			'chart-score-dimensao': '/people-analytics/api/engajamento/grafico/chart-score-dimensao',
79|			'chart-heatmap-engajamento-area': '/people-analytics/api/engajamento/grafico/chart-heatmap-engajamento-area',
80|			'chart-engajamento-grupo': '/people-analytics/api/engajamento/grafico/chart-engajamento-grupo',
81|			'chart-diversidade-engajamento': '/people-analytics/api/engajamento/grafico/chart-diversidade-engajamento',
82|			'chart-turnover-engajamento': '/people-analytics/api/engajamento/grafico/chart-turnover-engajamento',
83|			'chart-ausencia-engajamento': '/people-analytics/api/engajamento/grafico/chart-ausencia-engajamento',
84|			
85|			// Módulo: Saúde Organizacional
86|			'chart-evolucao-integrada': '/people-analytics/api/saude-organizacional/grafico-evolucao-integrada',
87|			'chart-heatmap-area': '/people-analytics/api/saude-organizacional/grafico-heatmap-area',
88|			'chart-distribuicao-stress': '/people-analytics/api/saude-organizacional/grafico-distribuicao-stress',
89|			'chart-ausencias-periodo': '/people-analytics/api/saude-organizacional/grafico-ausencias-periodo',
90|			'chart-radar-risco': '/people-analytics/api/saude-organizacional/grafico-radar-risco',
91|			'chart-boxplot-equipes': '/people-analytics/api/saude-organizacional/grafico-boxplot-equipes',
92|			'chart-consultas-tempo': '/people-analytics/api/saude-organizacional/grafico-consultas-tempo',
93|			'chart-funil-saude-mental': '/people-analytics/api/saude-organizacional/grafico-funil-saude-mental',
94|			'chart-engajamento-risco': '/people-analytics/api/saude-organizacional/grafico-engajamento-risco',
95|			'chart-turnover-saude': '/people-analytics/api/saude-organizacional/grafico-turnover-saude',
96|			
97|			// Módulo: Visão Geral de Custos
98|			'chart-evolucao-custo-total': '/people-analytics/api/visao-geral-custos/grafico/chart-evolucao-custo-total',
99|			'chart-composicao-custos': '/people-analytics/api/visao-geral-custos/grafico/chart-composicao-custos',
100|			'chart-custo-centro': '/people-analytics/api/visao-geral-custos/grafico/chart-custo-centro',
101|			'chart-heatmap-centro-categoria': '/people-analytics/api/visao-geral-custos/grafico/chart-heatmap-centro-categoria',
102|			'chart-custo-time': '/people-analytics/api/visao-geral-custos/grafico/chart-custo-time',
103|			'chart-custo-senioridade': '/people-analytics/api/visao-geral-custos/grafico/chart-custo-senioridade',
104|			'chart-evolucao-status': '/people-analytics/api/visao-geral-custos/grafico/chart-evolucao-status',
105|			'chart-projecao-custo': '/people-analytics/api/visao-geral-custos/grafico/chart-projecao-custo',
106|			'chart-custo-produtividade': '/people-analytics/api/visao-geral-custos/grafico/chart-custo-produtividade',
107|			'chart-saida-caixa': '/people-analytics/api/visao-geral-custos/grafico/chart-saida-caixa',
108|			
109|			// Módulo: Atração e Retenção
110|			'chart-admissoes-desligamentos': '/people-analytics/api/atracao-retencao/grafico/chart-admissoes-desligamentos',
111|			'chart-piramide-talentos': '/people-analytics/api/atracao-retencao/grafico/chart-piramide-talentos',
112|			'chart-time-to-hire': '/people-analytics/api/atracao-retencao/grafico/chart-time-to-hire',
113|			'chart-motivos-desligamento': '/people-analytics/api/atracao-retencao/grafico/chart-motivos-desligamento',
114|			'chart-perfil-desligados': '/people-analytics/api/atracao-retencao/grafico/chart-perfil-desligados',
115|			'chart-probabilidade-permanencia': '/people-analytics/api/atracao-retencao/grafico/chart-probabilidade-permanencia',
116|			'chart-dispersao-risco-saida': '/people-analytics/api/atracao-retencao/grafico/chart-dispersao-risco-saida',
117|			'chart-funil-offboarding': '/people-analytics/api/atracao-retencao/grafico/chart-funil-offboarding',
118|			'chart-tempo-offboarding': '/people-analytics/api/atracao-retencao/grafico/chart-tempo-offboarding',
119|			'chart-turnover-engajamento': '/people-analytics/api/atracao-retencao/grafico/chart-turnover-engajamento'
120|		},
121|		
122|		/**
123|		 * Inicializa o sistema de filtros
124|		 */
125|		init: function() {
126|			this.bindEvents();
127|			this.syncCardsWithFilters();
128|		},
129|		
130|		/**
131|		 * Bindea todos os eventos
132|		 */
133|		bindEvents: function() {
134|			var self = this;
135|			
136|			// Toggle accordion sections
137|			document.querySelectorAll('[data-toggle-section]').forEach(function(btn) {
138|				btn.addEventListener('click', function() {
139|					var sectionId = this.getAttribute('data-toggle-section');
140|					self.toggleSection(sectionId, this);
141|				});
142|			});
143|			
144|			// Opções de filtro - multi-select com toggle
145|			document.querySelectorAll('.pa-filter-option-card').forEach(function(card) {
146|				card.addEventListener('click', function() {
147|					self.toggleFilterOption(this);
148|				});
149|			});
150|			
151|			// Busca de filtros (opções + títulos)
152|			var searchInput = document.getElementById('pa-filter-search');
153|			if (searchInput) {
154|				searchInput.addEventListener('input', function() {
155|					self.filterOptions(this.value);
156|				});
157|			}
158|		},
159|		
160|		/**
161|		 * Toggle accordion section
162|		 */
163|		toggleSection: function(sectionId, btnElement) {
164|			var content = document.getElementById('section-' + sectionId);
165|			if (!content) return;
166|			
167|			var icon = btnElement.querySelector('.pa-filter-section__icon');
168|			var isCollapsed = content.classList.contains('collapsed');
169|			
170|			if (isCollapsed) {
171|				content.classList.remove('collapsed');
172|				btnElement.classList.remove('collapsed');
173|				if (icon) {
174|					icon.classList.remove('fa-chevron-down');
175|					icon.classList.add('fa-chevron-up');
176|				}
177|			} else {
178|				content.classList.add('collapsed');
179|				btnElement.classList.add('collapsed');
180|				if (icon) {
181|					icon.classList.remove('fa-chevron-up');
182|					icon.classList.add('fa-chevron-down');
183|				}
184|			}
185|		},
186|		
187|		/**
188|		 * Filtra opções pelo termo de busca (opções + títulos das seções)
189|		 */
190|		filterOptions: function(searchTerm) {
191|			var term = searchTerm.toLowerCase().trim();
192|			var sections = document.querySelectorAll('.pa-filter-section');
193|			
194|			sections.forEach(function(section) {
195|				var sectionHeader = section.querySelector('.pa-filter-section__header');
196|				var sectionTitle = section.querySelector('.pa-filter-section__title');
197|				var sectionContent = section.querySelector('.pa-filter-section__content');
198|				var options = section.querySelectorAll('.pa-filter-option-card');
199|				
200|				// Verifica se o título da seção contém o termo
201|				var titleText = sectionTitle ? sectionTitle.textContent.toLowerCase() : '';
202|				var titleMatches = term === '' || titleText.includes(term);
203|				
204|				var hasVisibleOption = false;
205|				
206|				options.forEach(function(option) {
207|					var label = option.querySelector('.pa-filter-option-card__label');
208|					if (label) {
209|						var text = label.textContent.toLowerCase();
210|						// Mostra se o termo está na opção OU se o título da seção bateu
211|						var isVisible = term === '' || text.includes(term) || titleMatches;
212|						option.style.display = isVisible ? 'flex' : 'none';
213|						if (isVisible) hasVisibleOption = true;
214|					}
215|				});
216|				
217|				// Mostra seção se título bate ou se tem opções visíveis
218|				if (term !== '') {
219|					var showSection = titleMatches || hasVisibleOption;
220|					section.style.display = showSection ? 'block' : 'none';
221|					
222|					// Auto-expand sections with results
223|					if (showSection && sectionContent && sectionContent.classList.contains('collapsed')) {
224|						sectionContent.classList.remove('collapsed');
225|						if (sectionHeader) sectionHeader.classList.remove('collapsed');
226|						var icon = sectionHeader ? sectionHeader.querySelector('.pa-filter-section__icon') : null;
227|						if (icon) {
228|							icon.classList.remove('fa-chevron-down');
229|							icon.classList.add('fa-chevron-up');
230|						}
231|					}
232|				} else {
233|					section.style.display = 'block';
234|				}
235|			});
236|		},
237|		
238|	/**
239|	 * Toggle seleção de uma opção (multi-select)
240|	 * Para o filtro "periodo", permite apenas uma seleção por vez
241|	 */
242|	toggleFilterOption: function(cardElement) {
243|		var filterType = cardElement.getAttribute('data-filter-type');
244|		var filterValue = cardElement.getAttribute('data-filter-value');
245|		var filterLabel = cardElement.querySelector('.pa-filter-option-card__label').textContent;
246|		var sectionTitle = this.getSectionTitle(filterType);
247|		
248|		var isSelected = cardElement.classList.contains('selected');
249|		
250|		if (isSelected) {
251|			// Desselecionar - remove filtro
252|			this.removeFilterByTypeAndValue(filterType, filterValue);
253|			cardElement.classList.remove('selected');
254|		} else {
255|			// REGRA ESPECIAL: Filtro de PERÍODO permite apenas 1 seleção
256|			if (filterType === 'periodo') {
257|				// Remove todos os filtros de período existentes
258|				var existingPeriodFilters = this.selectedFilters.filter(function(f) {
259|					return f.type === 'periodo';
260|				});
261|				
262|				// Remove visualmente os cards de período selecionados
263|				existingPeriodFilters.forEach(function(filter) {
264|					var card = document.querySelector(
265|						'.pa-filter-option-card[data-filter-type="periodo"][data-filter-value="' + filter.rawValue + '"]'
266|					);
267|					if (card) card.classList.remove('selected');
268|				});
269|				
270|				// Remove do array de filtros selecionados
271|				this.selectedFilters = this.selectedFilters.filter(function(f) {
272|					return f.type !== 'periodo';
273|				});
274|			}
275|			
276|			// Selecionar - adiciona filtro
277|			if (this.selectedFilters.length >= this.MAX_FILTERS) {
278|				this.showLimitWarning();
279|				return;
280|			}
281|			
282|			var newFilter = {
283|				type: filterType,
284|				label: sectionTitle,
285|				value: filterLabel,
286|				rawValue: filterValue
287|			};
288|			
289|			this.selectedFilters.push(newFilter);
290|			cardElement.classList.add('selected');
291|		}
292|		
293|		// Atualiza UI
294|		this.renderFilterTags();
295|		this.updateAddButtonState();
296|		this.triggerChartUpdate();
297|	},
298|		
299|		/**
300|		 * Mostra aviso de limite atingido
301|		 */
302|		showLimitWarning: function() {
303|			// Pequeno feedback visual
304|			var addBtn = document.getElementById('pa-add-filter-btn');
305|			if (addBtn) {
306|				addBtn.style.animation = 'shake 0.3s ease';
307|				setTimeout(function() {
308|					addBtn.style.animation = '';
309|				}, 300);
310|			}
311|		},
312|		
313|		/**
314|		 * Remove filtro por tipo e valor
315|		 */
316|		removeFilterByTypeAndValue: function(filterType, filterValue) {
317|			this.selectedFilters = this.selectedFilters.filter(function(f) {
318|				return !(f.type === filterType && f.rawValue === filterValue);
319|			});
320|		},
321|		
322|		/**
323|		 * Retorna o título da seção pelo tipo
324|		 * Mapeamento completo de todos os filtros disponíveis
325|		 */
326|		getSectionTitle: function(filterType) {
327|			var titles = {
328|				// Filtros básicos
329|				'periodo': 'Período',
330|				'departamento': 'Departamento / Unidade',
331|				'gestor-equipe': 'Gestor / Equipe',
332|				'cargo-senioridade': 'Cargo / Senioridade',
333|				'localidade': 'Localidade / Região',
334|				'tipo-vinculo': 'Tipo de Vínculo',
335|				// Filtros de Atração & Retenção
336|				'tipo-rescisao': 'Tipo de Rescisão',
337|				'motivo-rescisao': 'Motivo de Rescisão',
338|				'tipo-vaga': 'Tipo de Vaga',
339|				'performance-rating': 'Performance Rating',
340|				// Filtros de Produtividade & Análise de Membro
341|				'projeto': 'Projeto',
342|				'categoria-atividade': 'Categoria de Atividade',
343|				'tipo-tarefa': 'Tipo de Tarefa',
344|				'prioridade-project-task': 'Prioridade da Tarefa',
345|				'status-project-task': 'Status da Tarefa',
346|				'deadline': 'Prazo',
347|				'tipo-projeto': 'Tipo de Projeto',
348|				'responsavel-tarefa': 'Responsável pela Tarefa',
349|				// Filtros de Turno e Trabalho
350|				'turno': 'Turno',
351|				// 'modelo-trabalho': 'Modelo de Trabalho',
352|				// Filtros de Satisfação e Produtividade
353|				'satisfacao-dia': 'Satisfação no Dia',
354|				'faixa-produtividade': 'Faixa de Produtividade',
355|				'faixa-duracao': 'Faixa de Duração',
356|				'dia-semana': 'Dia da Semana',
357|				// Filtros de Custos
358|				'centro-custo': 'Centro de Custo',
359|				'faixa-salarial': 'Faixa Salarial',
360|				// Filtros de D&I
361|				'genero': 'Gênero',
362|				'raca-cor': 'Raça / Cor',
363|				'pcd': 'PCD',
364|				// Filtros de Engajamento
365|				'engajamento': 'Nível de Engajamento',
366|				'driver-engajamento': 'Driver de Engajamento',
367|				'faixa-participacao': 'Faixa de Participação',
368|				// Filtros de Bem-estar e Ausências
369|				'tipo-ausencia': 'Tipo de Ausência',
370|				'faixa-ausencia': 'Faixa de Ausência',
371|				'tipo-licenca': 'Tipo de Licença',
372|				'motivo-esocial': 'Motivo eSocial',
373|				'dimensao-bem-estar': 'Dimensão de Bem-estar',
374|				'impacta-absenteismo': 'Impacta Absenteísmo',
375|				'impacta-folha': 'Impacta Folha',
376|				'tipo-ausencia-operacional': 'Tipo de Ausência Operacional',
377|				'faixa-bem-estar': 'Faixa de Bem-estar',
378|				'faixa-turnover': 'Faixa de Turnover',
379|				'faixa-custo-ausencia': 'Faixa de Custo',
380|				// Filtros de Análise do Membro
381|				'membro': 'Selecionar Membro',
382|				// Filtros de Atração e Retenção
383|				'granularidade': 'Granularidade',
384|				'equipe_ids': 'Times / Equipes',
385|				'sexo': 'Sexo',
386|				'limit_top': 'Limitar Top N',
387|				'tipo_movimento': 'Tipo de Movimento',
388|				'excluir_outliers': 'Excluir Outliers',
389|				'duracao_min_dias': 'Duração Mínima (dias)',
390|				'duracao_max_dias': 'Duração Máxima (dias)',
391|				'top_n': 'Top N',
392|				'motivos_desligamento': 'Motivos de Desligamento',
393|				'faixas_tenure': 'Faixas de Tenure',
394|				'considerar_apenas_turnover_involuntario': 'Apenas Turnover Involuntário',
395|				'eixo_x': 'Eixo X',
396|				'eixo_y': 'Eixo Y',
397|				'limiar_engajamento_baixo': 'Limiar de Engajamento',
398|				'status_ids': 'Status de Offboarding',
399|				'incluir_cancelados': 'Incluir Cancelados',
400|				'metodo_turnover': 'Método de Turnover',
401|				'min_contagem_privacidade': 'Mínimo de Privacidade',
402|				// Filtros de Avaliação
403|				'tipo-avaliacao': 'Tipo de Avaliação',
404|				'status-tarefa-avaliacao': 'Status da Avaliação',
405|				'estagio': 'Estágio',
406|				'processo': 'Processo',
407|				// Filtros Globais Adicionais
408|				'job-family': 'Job Family',
409|				'cargo': 'Cargo',
410|				'senioridade': 'Senioridade',
411|				'status-colaborador': 'Status do Colaborador',
412|				'tempo-casa': 'Tempo de Casa',
413|				'tempo-funcao': 'Tempo na Função',
414|				'tipo-jornada': 'Tipo de Jornada'
415|			};
416|			return titles[filterType] || filterType;
417|		},
418|		
419|		/**
420|		 * Sincroniza estado visual dos cards com filtros selecionados
421|		 */
422|		syncCardsWithFilters: function() {
423|			var self = this;
424|			
425|			// Remove todas as seleções visuais
426|			document.querySelectorAll('.pa-filter-option-card').forEach(function(card) {
427|				card.classList.remove('selected');
428|			});
429|			
430|			// Marca os cards dos filtros selecionados
431|			this.selectedFilters.forEach(function(filter) {
432|				var card = document.querySelector(
433|					'.pa-filter-option-card[data-filter-type="' + filter.type + '"][data-filter-value="' + filter.rawValue + '"]'
434|				);
435|				if (card) card.classList.add('selected');
436|			});
437|		},
438|		
439|		/**
440|		 * Renderiza as tags de filtros selecionados
441|		 */
442|		renderFilterTags: function() {
443|			var self = this;
444|			var container = document.getElementById('pa-selected-filters');
445|			if (!container) return;
446|			
447|			container.innerHTML = '';
448|			
449|			this.selectedFilters.forEach(function(filter, index) {
450|				var tag = document.createElement('div');
451|				tag.className = 'pa-filter-tag';
452|				tag.setAttribute('data-filter-index', index);
453|				tag.setAttribute('data-filter-type', filter.type);
454|				tag.setAttribute('data-filter-value', filter.rawValue);
455|				
456|				tag.innerHTML = 
457|					'<span class="pa-filter-tag__text">' + filter.value + '</span>' +
458|					'<button type="button" class="pa-filter-tag__remove" data-remove-filter="' + index + '">' +
459|						'<i class="fas fa-times"></i>' +
460|					'</button>';
461|				
462|				// Click para abrir modal (não no botão remover)
463|				tag.addEventListener('click', function(e) {
464|					if (e.target.closest('.pa-filter-tag__remove')) return;
465|					self.openModal();
466|				});
467|				
468|				// Botão remover
469|				tag.querySelector('.pa-filter-tag__remove').addEventListener('click', function(e) {
470|					e.stopPropagation();
471|					self.removeFilter(index);
472|				});
473|				
474|				container.appendChild(tag);
475|			});
476|		},
477|		
478|	/**
479|	 * Remove um filtro pelo índice
480|	 */
481|	removeFilter: function(index) {
482|		
483|		var removedFilter = this.selectedFilters[index];
484|		this.selectedFilters.splice(index, 1);
485|		
486|		
487|		// Remove seleção visual do card
488|		if (removedFilter) {
489|			var card = document.querySelector(
490|				'.pa-filter-option-card[data-filter-type="' + removedFilter.type + '"][data-filter-value="' + removedFilter.rawValue + '"]'
491|			);
492|			if (card) card.classList.remove('selected');
493|		}
494|		
495|		this.renderFilterTags();
496|		this.updateAddButtonState();
497|		this.triggerChartUpdate();
498|	},
499|		
500|		/**

Note: Results truncated to 500 lines. Please narrow your line range.
Request #15 deepseek-v4-flash P:59.91K C:133 CR:52.35K CW:0 2186ms
Reasoning
Let me look at the `getCurrentFilters` function in chart-detail-filters.js to see how filters are serialized (whether the selected filters list has periodo as rawValue, and how dates are produced). Let me search within the file for getCurrentFilters.
Tool Calls (1)
code_search
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{"file_patterns": ["public/js/people-analytics/chart-detail-filters.js"], "search_text": "getCurrentFilters"}
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Request #16 deepseek-v4-flash P:60.06K C:137 CR:60.03K CW:0 2099ms
Reasoning
Interesting - `getCurrentFilters` not found in chart-detail-filters.js, but used at line 15 with object literal, maybe it is defined further below truncated (file has 856 lines). Let me search with text `function getCurrentFilters` or `getCurrentFilters:` across the file.
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{"file_patterns": ["public/js/people-analytics/*.js"], "search_text": "getCurrentFilters"}
File: public/js/people-analytics/import/chart-import-handler.js
Match lines: 2
183|                if (window.PeopleAnalyticsFilters && typeof window.PeopleAnalyticsFilters.getCurrentFilters === 'function') {
184|                    const currentFilters = window.PeopleAnalyticsFilters.getCurrentFilters();

File: public/js/people-analytics/modules/atracao-retencao-charts.js
Match lines: 3
38|            const filters = this.getCurrentFilters();
124|            const filters = this.getCurrentFilters();
521|        getCurrentFilters: function() {

File: public/js/people-analytics/modules/engajamento-charts.js
Match lines: 4
718|        filters = Object.assign({}, getCurrentFilters(), filters);
734|        filters = Object.assign({}, getCurrentFilters(), filters);
769|            window.PeopleAnalytics.Engajamento.reload(getCurrentFilters());
773|    function getCurrentFilters() {

Request #17 deepseek-v4-flash P:60.42K C:275 CR:60.16K CW:0 2892ms
Reasoning
`getCurrentFilters` is not defined in `chart-detail-filters.js`. Let me search again but case-insensitively, in chart-detail-filters.js file, for "urrentFilter" to get matches. Actually I already searched text "getCurrentFilters" and only found 2 files, so chart-detail-filters.js does not define it? But at line 15 it defines `window.PeopleAnalyticsFilters = {` then later methods. Let me list all function definitions in that file by reading further (lines 500-856). Actually it doesn't matter too much. The key for the chart_detail page, `currentFilters` may come from `getCurrentFilters` defined elsewhere for chart_detail, or `PeopleAnalyticsFilters` may have another function name (like getFiltersForRequest). Let me read lines 500-856 of chart-detail-filters.js.
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file_read
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{"end_line": 856, "file_path": "public/js/people-analytics/chart-detail-filters.js", "start_line": 500}
File: public/js/people-analytics/chart-detail-filters.js (Total lines: 856)
IS_TRUNCATED: false
LINE_RANGE: 500-856
500|		/**
501|		 * Atualiza estado do botão "Adicione um filtro"
502|		 */
503|		updateAddButtonState: function() {
504|			var addBtn = document.getElementById('pa-add-filter-btn');
505|			if (!addBtn) return;
506|			
507|			var spanEl = addBtn.querySelector('span');
508|			
509|			if (this.selectedFilters.length >= this.MAX_FILTERS) {
510|				addBtn.classList.add('disabled');
511|				addBtn.setAttribute('disabled', 'disabled');
512|				if (spanEl) spanEl.textContent = 'Limite atingido';
513|			} else {
514|				addBtn.classList.remove('disabled');
515|				addBtn.removeAttribute('disabled');
516|				if (spanEl) spanEl.textContent = 'Adicione um filtro';
517|			}
518|		},
519|		
520|		/**
521|		 * Abre o modal de filtros
522|		 */
523|		openModal: function() {
524|			// Sincroniza cards com filtros atuais
525|			this.syncCardsWithFilters();
526|			
527|			// Gera o nome da função dinamicamente baseado no modalId
528|			var functionName = 'openOffcanvas' + this.modalId.replace(/-/g, '');
529|			if (typeof window[functionName] === 'function') {
530|				window[functionName]();
531|			}
532|		},
533|		
534|		/**
535|		 * Fecha o modal de filtros
536|		 */
537|		closeModal: function() {
538|			// Limpa busca
539|			var searchInput = document.getElementById('pa-filter-search');
540|			if (searchInput) {
541|				searchInput.value = '';
542|				this.filterOptions('');
543|			}
544|			
545|			// Gera o nome da função dinamicamente baseado no modalId
546|			var functionName = 'closeOffcanvas' + this.modalId.replace(/-/g, '');
547|			if (typeof window[functionName] === 'function') {
548|				window[functionName]();
549|			}
550|		},
551|		
552|	/**
553|	 * Dispara atualização do gráfico
554|	 * Faz chamada AJAX para o endpoint correspondente e dispara evento customizado
555|	 * 
556|	 * FILTROS GLOBAIS: Se modalId = 'modal-global-filters', atualiza TODOS os gráficos
557|	 */
558|	triggerChartUpdate: function() {
559|		
560|		var self = this;
561|		var filterData = {};
562|		
563|		// Agrupa filtros por tipo (para multi-select do mesmo tipo)
564|		this.selectedFilters.forEach(function(filter) {
565|			if (!filterData[filter.type]) {
566|				filterData[filter.type] = [];
567|			}
568|			filterData[filter.type].push(filter.rawValue);
569|		});
570|		
571|		 
572|		// ========================================
573|		// FILTROS GLOBAIS: Atualiza TODOS os gráficos do dashboard
574|		// ========================================
575|		if (this.modalId === 'modal-global-filters') { 
576|			// Dispara evento global para todos os gráficos
577|			this.dispatchGlobalFilterEvent(filterData);
578|			return;
579|		}
580|		
581|		// ========================================
582|		// FILTRO INDIVIDUAL: Atualiza apenas 1 gráfico
583|		// ========================================
584|		
585|		// Se não tem chartId definido, apenas dispara evento local
586|		if (!this.chartId) {
587|			this.dispatchFilterEvent(filterData, null);
588|			return;
589|		}
590|		
591|		// Busca endpoint para o gráfico
592|		var endpoint = this.CHART_ENDPOINTS[this.chartId];
593|		if (!endpoint) {
594|			this.dispatchFilterEvent(filterData, null);
595|			return;
596|		}
597|		
598|		// Evita requisições duplicadas
599|		if (this.isLoading) { 
600|			return;
601|		}
602|		
603|		// Faz chamada AJAX
604|		this.fetchChartData(endpoint, filterData);
605|	},
606|		
607|	/**
608|	 * Faz requisição AJAX para buscar dados do gráfico
609|	 * 
610|	 * @param {string} endpoint URL do endpoint
611|	 * @param {object} filterData Dados dos filtros agrupados por tipo
612|	 */
613|	fetchChartData: function(endpoint, filterData) {
614|		var self = this;
615|		
616|		// Lista de filtros que são multi-select (devem ter [])
617|		var multiSelectFilters = [
618|			'equipe_ids', 'equipe-ids', 'motivos_desligamento', 'status_ids',
619|			'faixas_tenure', 'projeto', 'categoria-atividade', 'membro',
620|			'gestor-equipe', 'departamento', 'raca-cor', 'genero', 'pcd',
621|			'localidade', 'tipo-vinculo', 'tipo-rescisao', 'cargo-senioridade',
622|			'dimensao-bem-estar', 'tipo-licenca', 'motivo-esocial',
623|			'dimensao-clima', 'driver-engajamento', 'faixa-etaria'
624|		];
625|		
626|		// Constrói query string
627|		var queryParams = new URLSearchParams();
628|		
629|		// Adiciona filtros (com [] apenas para multi-select ou múltiplos valores)
630|		Object.keys(filterData).forEach(function(filterType) {
631|			var values = filterData[filterType];
632|			if (values && values.length > 0) {
633|				var isMultiSelect = multiSelectFilters.indexOf(filterType) !== -1;
634|				var hasMultipleValues = values.length > 1;
635|				
636|				// Se é multi-select OU tem múltiplos valores, adiciona []
637|				if (isMultiSelect || hasMultipleValues) {
638|					values.forEach(function(value) {
639|						queryParams.append(filterType + '[]', value);
640|					});
641|				} else {
642|					// Single-select com 1 valor: sem []
643|					queryParams.append(filterType, values[0]);
644|				}
645|			}
646|		});
647|		
648|		var url = endpoint + (queryParams.toString() ? '?' + queryParams.toString() : '');
649|		 
650|		// Mostra loading
651|		this.isLoading = true;
652|		this.showLoading(true);
653|		
654|		fetch(url, {
655|			method: 'GET',
656|			headers: {
657|				'Accept': 'application/json',
658|				'X-Requested-With': 'XMLHttpRequest'
659|			},
660|			credentials: 'same-origin'
661|		})
662|		.then(function(response) {
663|			if (!response.ok) {
664|				throw new Error('Erro na requisição: ' + response.status);
665|			}
666|			return response.json();
667|		})
668|		.then(function(result) {
669|			
670|			if (result.success) {
671|				// Dispara evento com os dados
672|				self.dispatchFilterEvent(filterData, result.data);
673|			} else {
674|				self.showError(result.error || 'Erro ao carregar dados');
675|			}
676|		})
677|		.catch(function(error) {
678|			self.showError('Erro de conexão. Tente novamente.');
679|		})
680|		.finally(function() {
681|			self.isLoading = false;
682|			self.showLoading(false);
683|		});
684|	},
685|		
686|		/**
687|		 * Dispara evento customizado com os filtros e dados
688|		 * O dashboard ou página que escuta esse evento pode atualizar o gráfico
689|		 * 
690|		 * @param {object} filterData Filtros aplicados
691|		 * @param {object|null} chartData Dados do gráfico (null se sem requisição)
692|		 */
693|	dispatchFilterEvent: function(filterData, chartData) {
694|		var event = new CustomEvent('peopleAnalyticsFilterUpdate', {
695|			detail: {
696|				chartId: this.chartId,
697|				filters: filterData,
698|				data: chartData,
699|				timestamp: Date.now()
700|			},
701|			bubbles: true
702|		});
703|		
704|		document.dispatchEvent(event);
705|	},
706|	
707|	/**
708|	 * Dispara evento de FILTROS GLOBAIS para todos os gráficos do dashboard
709|	 * Cada gráfico do dashboard escutará este evento e recarregará com os filtros aplicados
710|	 * 
711|	 * @param {object} filterData Filtros globais { 'gestor-equipe': [1, 2], 'periodo': [...] }
712|	 */
713|	dispatchGlobalFilterEvent: function(filterData) {
714|		// Dispara evento global para TODOS os gráficos
715|		var event = new CustomEvent('peopleAnalyticsGlobalFilterUpdate', {
716|			detail: {
717|				filters: filterData,
718|				timestamp: Date.now()
719|			},
720|			bubbles: true
721|		});
722|		
723|		document.dispatchEvent(event);
724|		
725|		// Também dispara o evento padrão sem chartId específico (compatibilidade)
726|		this.dispatchFilterEvent(filterData, null);
727|	},
728|	
729|	/**
730|	 * Mostra/esconde indicador de loading
731|	 * 
732|	 * @param {boolean} show Mostrar ou esconder
733|	 */
734|	showLoading: function(show) {
735|			// Busca container do gráfico para mostrar loading
736|			var chartContainer = document.querySelector('[data-chart-id="' + this.chartId + '"]');
737|			
738|			if (chartContainer) {
739|				if (show) {
740|					chartContainer.classList.add('pa-loading');
741|					
742|					// Adiciona overlay de loading se não existir
743|					if (!chartContainer.querySelector('.pa-loading-overlay')) {
744|						var overlay = document.createElement('div');
745|						overlay.className = 'pa-loading-overlay';
746|						overlay.innerHTML = '<div class="pa-loading-spinner"><i class="fas fa-spinner fa-spin"></i></div>';
747|						chartContainer.appendChild(overlay);
748|					}
749|				} else {
750|					chartContainer.classList.remove('pa-loading');
751|					var overlay = chartContainer.querySelector('.pa-loading-overlay');
752|					if (overlay) overlay.remove();
753|				}
754|			}
755|		},
756|		
757|		/**
758|		 * Mostra mensagem de erro
759|		 * 
760|		 * @param {string} message Mensagem de erro
761|		 */
762|		showError: function(message) {
763|			// Usa toast ou notificação se disponível
764|			if (typeof toastr !== 'undefined') {
765|				toastr.error(message);
766|			} else if (typeof Swal !== 'undefined') {
767|				Swal.fire({
768|					icon: 'error',
769|					title: 'Erro',
770|					text: message,
771|					timer: 3000,
772|					showConfirmButton: false
773|				});
774|			} else {
775|			}
776|		},
777|		
778|		/**
779|		 * Define o chartId atual
780|		 * Chamado pelo dashboard ao inicializar ou trocar de gráfico
781|		 * 
782|		 * @param {string} chartId ID do gráfico
783|		 */
784|		setChartId: function(chartId) {
785|			this.chartId = chartId;
786|		},
787|		
788|		/**
789|		 * Limpa todos os filtros selecionados
790|		 */
791|		clearAllFilters: function() {
792|			this.selectedFilters = [];
793|			this.syncCardsWithFilters();
794|			this.renderFilterTags();
795|			this.updateAddButtonState();
796|			this.triggerChartUpdate();
797|		},
798|		
799|	/**
800|	 * Retorna os filtros ativos como objeto
801|	 * Usado pelos módulos para construir requisições à API
802|	 * 
803|	 * @returns {object} Filtros agrupados por tipo { 'gestor-equipe': [1, 2], 'periodo': ['ultimo-mes'] }
804|	 */
805|	getActiveFilters: function() {
806|		var filterData = {};
807|		
808|		this.selectedFilters.forEach(function(filter) {
809|			if (!filterData[filter.type]) {
810|				filterData[filter.type] = [];
811|			}
812|			filterData[filter.type].push(filter.rawValue);
813|		});
814|		
815|		return filterData;
816|	},
817|	
818|	/**
819|	 * Retorna os filtros ativos como query string
820|	 * Útil para links e compartilhamento
821|	 */
822|	getFiltersAsQueryString: function() {
823|		var filterData = this.getActiveFilters();
824|		
825|		// Lista de filtros que são multi-select (devem ter [])
826|		var multiSelectFilters = [
827|			'equipe_ids', 'equipe-ids', 'motivos_desligamento', 'status_ids',
828|			'faixas_tenure', 'projeto', 'categoria-atividade', 'membro',
829|			'gestor-equipe', 'departamento', 'raca-cor', 'genero', 'pcd',
830|			'localidade', 'tipo-vinculo', 'tipo-rescisao', 'cargo-senioridade',
831|			'dimensao-bem-estar', 'tipo-licenca', 'motivo-esocial',
832|			'dimensao-clima', 'driver-engajamento', 'faixa-etaria'
833|		];
834|		
835|		var params = new URLSearchParams();
836|		Object.keys(filterData).forEach(function(type) {
837|			var isMultiSelect = multiSelectFilters.indexOf(type) !== -1;
838|			var hasMultipleValues = filterData[type].length > 1;
839|			
840|			// Se é multi-select OU tem múltiplos valores, adiciona []
841|			if (isMultiSelect || hasMultipleValues) {
842|				filterData[type].forEach(function(value) {
843|					params.append(type + '[]', value);
844|				});
845|			} else {
846|				// Single-select com 1 valor: sem []
847|				params.append(type, filterData[type][0]);
848|			}
849|		});
850|		
851|		return params.toString();
852|	}
853|	};
854|	
855|})();
856|
Request #18 deepseek-v4-flash P:64.43K C:3.37K CR:60.67K CW:0 26500ms
Reasoning
OK. So `PeopleAnalyticsFilters` does not expose `getCurrentFilters`. But the template chart_detail.html.twig references `window.PeopleAnalyticsFilters.getCurrentFilters` guarded by typeof check; if not defined, `currentFilters = {}`. So where's `getCurrentFilters` for chart_detail? Maybe in chart_detail template context there's another JS file: `chart-detail.js`? Let's search for a definition `getCurrentFilters:` in js files more broadly (maybe another module also defines it). Anyway. Actually the template references `window.PeopleAnalyticsPermission.autoFilters` — so there's a permission object that provides `autoFilters`. That may include period defaults (the dashboard's default period, e.g. 'ultimo-mes'). Then template removes it only if the URL has no explicit period. Actually, we don't need to figure out the exact previous bug; we need to confirm the divergence between the controller's condition and the resolver's condition. Let's analyze with fresh eyes: **Flow for chart detail page (module = analise_de_membro) at runtime:** 1. User navigates to member analysis chart page with URL query params, likely `?member_id=123&periodo=ultimo-mes` or similar. 2. JS builds `currentFilters` = merge of `PeopleAnalyticsFilters.getCurrentFilters()` (whatever that returns; possibly contains member and/or periodo) + `autoFilters` from permission. 3. The new block in template deletes `periodo`/`start_date`/`end_date` from `currentFilters` when URL has no explicit period params. 4. Sends JSON body with `filters = currentFilters`. 5. Controller: `rawFilters = data['filters']`. Normalize. If module member and rawFilters has no `periodo`, unset `start_date`/`end_date`. Now if the template has already removed the keys, then the raw payload typically has neither periodo nor start_date/end_date → controller unsets nothing extra (they aren't there). If user selected a custom period... but how would a custom period be represented? The period selector in the filter UI uses type 'periodo' with values like 'ultimo-mes' etc. There's no start_date/end_date raw input likely in this filter UI; custom date ranges might not be part of the UI at all. So where would explicit start_date/end_date come from? Perhaps in the member module, default `autoFilters` from permission, or the URL params. Hmm, wait. But this chart_detail template is used for member module too, and the member analysis selection might include start_date/end_date query params from another page that links to the detail with a period (e.g., the main productivdade dashboard links). So user could navigate with `?member_id=X&start_date=2025-01-01&end_date=2025-03-31`. In that case: - Template: hasExplicitPeriod true (start_date present in URL) → it does NOT delete currentFilters' dates. If currentFilters (from getCurrentFilters) doesn't contain the URL's start_date... wait, the template doesn't read URL start_date/end_date into currentFilters. It only sets member_id from URL. Hmm. Let's re-read template code: ``` {% if module == 'analise_de_membro' %} var urlParams = new URLSearchParams(window.location.search); var hasExplicitPeriod = urlParams.has('periodo') || urlParams.has('start_date') || urlParams.has('end_date'); if (!hasExplicitPeriod) { delete currentFilters.periodo; delete currentFilters.start_date; delete currentFilters.end_date; } var memberId = urlParams.get('member_id') || urlParams.get('membro'); if (memberId) { currentFilters.member_id = memberId; } {% endif %} ``` So when URL has explicit period, currentFilters retains whatever dates it had (possibly default period from PeopleAnalyticsFilters.getCurrentFilters() e.g. default 'ultimo-mes' selection from the shared dashboard filter? but note that getCurrentFilters isn't defined in chart-detail-filters.js — maybe defined elsewhere). When no explicit period in URL, dates are removed. But wait: the template does not populate start_date/end_date from URL into currentFilters. So where does the "explicit dates" the controller should not strip come from? Since the controller checks raw payload, and template sends only currentFilters (which never gets URL dates), the explicit dates from URL never reach payload anyway. Hold on: maybe the URL's periodo isn't pushed into currentFilters either. It relies on PeopleAnalyticsFilters.getCurrentFilters() which reads selectedFilters state, which is initialized on page load possibly from URL? Let me not go too deep. Let me step back and think about the most defensible issue statement: The controller condition unsets `start_date`/`end_date` whenever `periodo` is not in the raw payload — even when the caller explicitly sends `start_date`/`end_date`. The resolver's analogous rule only unsets when none of the three is present. These two differ, and since both run on the same request (controller passes `$filters` to `aiAnalysisService->analyze(...)` → `chartResolver->resolve(...)`), the effective behavior is the controller's: whenever `periodo` is absent in raw payload, dates are stripped at controller level (before normalize... wait no, the controller unsets after normalize from the normalized array, then passes to analyze, which passes filters to resolver.resolve, which normalizes AGAIN and applies its own rule). Wait! Actually, note the resolver normalizes `$filters` (already normalized by controller). Because the normalizer adds default dates (getDefaultDates) when missing! So: controller passes $filters to aiAnalysisService->analyze($module, $chartId, $filters, $question). analyze calls resolver->resolve($module, $chartId, $filters). resolve calls `filterNormalizer->normalize($filters)` again (double normalization). Since controller removed start_date/end_date and the payload had no periodo, the second normalize would RE-ADD default dates (last 6 months) unless the resolver's new rule removes them. That's why the resolver rule exists: to remove default dates re-added in the second normalization. So the effective date policy for module analise_de_membro: - Raw payload has `periodo` → normalize resolves periodo→dates in controller; controller keeps them; resolver second-normalize: filters['periodo'] was removed after first normalize... wait, controller's `$filters` after normalization includes `start_date`/`end_date` from resolvePeriodFilter, no `periodo`. In resolver.resolve, `$filters` (the input, which is already normalized) has start_date/end_date set and no `periodo`, so resolver's condition `!isset($filters['periodo']) && !isset($filters['start_date'])...` is false → no unset. Good; dates preserved. - Raw payload has explicit start_date/end_date and no periodo → controller: normalizes, then unsets start_date/end_date (because `!isset($rawFilters['periodo'])`)! Resolver second-normalize: re-adds default dates and then resolver condition unsets them (no periodo/start_date/end_date in the passed filter after... wait controller passed $filters already with dates removed, and resolver receives them removed; its condition sees no dates → it unsets them again (no-op). Net effect: the explicit dates from the user ARE dropped → chart uses entire period (no date filter) → mismatch with what's displayed if the chart detail UI shows a specific date range. Hmm, but in practice does the member module chart_detail page ever send explicit start_date/end_date? Possibly via the period dropdown with options that map... In filter UI type 'periodo' values e.g., 'ultimo-mes', so via `periodo`. URL may include `start_date`/`end_date` if links come from produtividade dashboard page that has explicit range picker. Let me look at how the member chart detail page is reached and what other pages link to it with start_date/end_date. Let me search templates for 'chart_detail' links with 'analise_de_membro'. Actually, maybe overanalyzing. The check at issue #1 says "o controller remove start_date/end_date sempre que o payload bruto não tiver periodo (mesmo quando o usuário mandou datas explícitas)". This is factually true from the diff. The resolver's behavior differs. The inconsistency means that when the frontend (template) doesn't apply the URL deletion (e.g., because URL contains explicit dates), the controller strips the dates anyway because there is no `periodo` key. Wait — does the template send explicit dates? It merges `getCurrentFilters()` + autoFilters. If the user selected explicit dates... I'm uncertain there's a date-range picker. But regardless, the controller code is internally inconsistent: if front sends both `start_date` and `end_date` without `periodo` (a perfectly valid contract since the resolver and normalizer treat them as optional primary source), the controller drops them. That's clearly unintended given the resolver's more precise condition. Also note the member module: deleting start_date/end_date when the member detail shows a chart that (before this PR) had no dates — meaning charts for the member are loaded without a date restriction. Actually if the chart_detail page always shows the full data range for the member, then removing dates is correct for matching the chart. But the point is, if the caller sends explicit dates for the chart display, dropping them would make AI response diverge from the chart. I'll frame the controller bug at the controller level. This is a confirmed code-level inconsistency between controller and resolver. Severity: medium-high. I'll comment on the controller condition. Now for the resolver: given the double-normalization, the resolver condition is needed. The resolver receives filters already normalized by controller, but normalize is idempotent except re-adding default dates. Actually double normalize: after controller normalization, filters contain many keys plus possibly start/end dates. Second normalize maps keys etc. and adds default dates if missing. The resolver condition removes them if raw filters (which are the already-normalized filters) contain no dates and no periodo. That matches intent. Wait, but note in resolver condition it checks `$filters['periodo']` — the `$filters` argument passed to resolver is the controller-normalized array which will never contain 'periodo' since normalizer removes it in step 1. So `isset($filters['periodo'])` will always be false at the resolver level for any input that went through the controller's normalizer. But the resolver is also invoked by other callers? Let's check who calls `ChartResolver::resolve`. Possibly the chart data controller (non-AI) also calls resolver? Let's search. Actually the check at resolver checks the incoming filters for periodo/start_date/end_date, to decide whether the CALLER explicitly specified a period. If some other flow passes raw filters with 'periodo' and no start/end, resolver will normalize first (adding dates) — then the condition? No: normalize happens BEFORE the condition in resolver; and normalize removes periodo key and adds dates. So the condition checks the ORIGINAL `$filters` (pre-normalize). Wait in resolver: ``` $normalizedFilters = $this->filterNormalizer->normalize($filters); if ($module === 'analise_de_membro' && !isset($filters['periodo']) && !isset($filters['start_date']) && !isset($filters['end_date']) ) { unset($normalizedFilters['start_date'], $normalizedFilters['end_date']); } ``` It checks original `$filters` (which for the AI flow is the controller-normalized filters). If caller originally provided 'periodo' to controller, the controller's `$filters` after normalization has start_date/end_date set and no periodo, so resolver sees no periodo but HAS start_date/end_date → doesn't unset → dates preserved. Good. If caller provided explicit start_date/end_date and no periodo: Controller unsets them (bug). Then resolver receives filters without dates; resolver condition sees none → unsets nothing... already gone; second normalize re-adds default dates then the unset removes them. Result: no dates. Bug confirmed at controller. If caller provided nothing: controller normalizes adding default dates then unsets (since no periodo). Resolver re-adds default dates and then unsets them. So the chart queries run WITHOUT date filter for member module. This is intended per PR (to not narrow data) — member analysis page presumably displays full history. OK. So the actual user-visible divergence bug: **when caller sends explicit start_date/end_date (no periodo) for analise_de_membro, the controller drops them** and the resolver can't restore. Also, in the template the block deletes dates only when URL has no period, but the template never copies URL dates into currentFilters — meaning even when URL has explicit start_date/end_date, the payload sent wouldn't have them... unless getCurrentFilters() returns them from URL. Actually the JS might read URL and initialize selectedFilters with dates. There's `PeopleAnalyticsPermission.autoFilters` that maybe adds dates? Hmm. OK, regardless, controller bug is real. Let me also check: is the template condition itself a problem? On a member analysis page reached via URL with explicit date range in the query (which is how the produtividade→member deep link might pass dates), template keeps default currentFilters' dates — but those dates might not reflect URL at all, then controller strips them anyway only if no periodo... Actually if getCurrentFilters returns dates (say from autoFilters default last 6 months), the template with hasExplicitPeriod=true keeps them. The user sees a chart (rendered by chart data endpoint) restricted by the URL date params (if chart data endpoint reads URL params). Then AI analysis sends those default dates (not the URL dates). Inconsistent. This is speculative though. Given the whole cluster is confusing and spread across three layers, my comment #1 (alta) remains valid at controller level for the explicit-dates case, and I can mention the inconsistency between template/controller/resolver conditions. Good. Now issue #2: authorization. Member id now accepted from URL param `member_id` and various filter keys. Is there member-level authorization? The member chart queries scope by company only. Is there per-user restriction? Let me look at how the regular chart detail module page decides who can view which member — e.g., whether the member list is restricted for team leaders (userAccess). Let me examine how the AI endpoint validates the module permission. Actually PeopleAnalyticsApiController has no authorization checks at all (no $this->denyAccessUnlessGranted). Hmm, but maybe the route is behind a firewall with a role check. That's pre-existing though. But note there is also `PeopleAnalyticsPermission` global JS injected in templates — it's client-side. Let me search MemberAnalysisService for member-level permission validation, e.g., 'getSelectedMember' or visibility scopes. Also `UserAccessService` methods.
Tool Calls (2)
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{"search_text": "function getSelectedCompany|function getVisible|scoped|permission|Permission", "file_patterns": ["src/Service/UserAccessService.php"]}
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{"query_name": "MemberAnalysis"}
src/Controller/Api/PeopleAnalytics/MemberAnalysisController.php
src/Service/PeopleAnalytics/MemberAnalysisService.php
src/Service/PeopleAnalytics/Metadata/MemberAnalysisMetadata.php
Request #19 deepseek-v4-flash P:67.86K C:175 CR:67.71K CW:0 2200ms
Reasoning
There is a `MemberAnalysisController` under `src/Controller/Api/PeopleAnalytics/` used by the chart data endpoints (fetchChartData). Let's check whether it validates that the requested member is within the user's allowed scope (e.g., for the chart detail page). This will tell us whether the AI endpoint (which is separate, PeopleAnalyticsApiController) is adding a new path that bypasses validation done by the chart data endpoint. Let me read MemberAnalysisController and see how it gets member id, company scoping, and any permission validation.
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{"file_path": "src/Controller/Api/PeopleAnalytics/MemberAnalysisController.php"}
File: src/Controller/Api/PeopleAnalytics/MemberAnalysisController.php (Total lines: 533)
IS_TRUNCATED: true
LINE_RANGE: 1-500
1|<?php
2|
3|namespace App\Controller\Api\PeopleAnalytics;
4|
5|use App\Service\PeopleAnalytics\MemberAnalysisService;
6|use App\Service\PeopleAnalytics\PeopleAnalyticsPermissionService;
7|use App\Service\UserAccessService;
8|use Symfony\Bundle\FrameworkBundle\Controller\AbstractController;
9|use Symfony\Component\HttpFoundation\Request;
10|use Symfony\Component\HttpFoundation\Response;
11|use Symfony\Component\Routing\Annotation\Route;
12|
13|/**
14| * Controller API para Análise do Membro
15| * 
16| * Endpoints REST para gráficos e métricas individuais de colaboradores
17| */
18|#[Route('/people-analytics')]
19|class MemberAnalysisController extends AbstractController
20|{
21|    public function __construct(
22|        private MemberAnalysisService $memberAnalysisService,
23|        private UserAccessService $userAccess,
24|        private PeopleAnalyticsPermissionService $paPermissionService
25|    ) {}
26|
27|    // ==========================================
28|    // HELPER - EXTRAIR FILTROS DO REQUEST
29|    // ==========================================
30|
31|    /**
32|     * Extrai todos os filtros do request e normaliza para array, aplicando permissões
33|     * 
34|     * Filtros suportados por gráfico:
35|     * - chart-linha-desempenho: projeto, categoria-atividade, prioridade-project-task, status-project-task, deadline, turno
36|     * - chart-carga-produtividade: projeto, categoria-atividade, tipo-tarefa, turno, modelo-trabalho, satisfacao-dia
37|     * - chart-tempo-atividade-membro: categoria-atividade, projeto, dia-semana, turno, modelo-trabalho, faixa-duracao
38|     * - chart-entregas-projeto: status-project-task, prioridade-project-task, tipo-projeto, responsavel-tarefa
39|     * - chart-boxplot-equipe-membro: projeto, categoria-atividade, turno, faixa-produtividade
40|     * - chart-ranking-produtividade: projeto, categoria-atividade, faixa-produtividade, turno, modelo-trabalho
41|     * - chart-scatter-prod-ausencia: tipo-ausencia, turno, modelo-trabalho, faixa-ausencia, faixa-produtividade
42|     * 
43|     * @param Request $request
44|     * @return array Filtros normalizados e com permissões aplicadas
45|     */
46|    private function extractFilters(Request $request): array
47|    {
48|        $filterKeys = [
49|            // Filtros de período
50|            'start_date', 'end_date', 'periodo',
51|            // Filtros de projeto/tarefa
52|            'projeto', 'categoria-atividade', 'prioridade-project-task', 
53|            'status-project-task', 'deadline', 'tipo-projeto', 'tipo-tarefa',
54|            'responsavel-tarefa',
55|            // Filtros de turno/trabalho
56|            'turno', 'modelo-trabalho',
57|            // Filtros de membro/equipe
58|            'membro', 'gestor-equipe',
59|            // Filtros de satisfação/produtividade
60|            'satisfacao-dia', 'faixa-produtividade', 'faixa-duracao', 'dia-semana',
61|            // Filtros de ausência
62|            'tipo-ausencia', 'faixa-ausencia',
63|            // Filtros de avaliação
64|            'tipo-avaliacao', 'status-tarefa-avaliacao', 'estagio', 'processo',
65|        ];
66|
67|        $filters = [];
68|        
69|        foreach ($filterKeys as $key) {
70|            $value = $request->query->get($key);
71|            
72|            if ($value !== null && $value !== '') {
73|                // Se for string com vírgulas, converte para array
74|                if (is_string($value) && strpos($value, ',') !== false) {
75|                    $filters[$key] = array_map('trim', explode(',', $value));
76|                } else {
77|                    // Mantém como está (pode ser string ou array já)
78|                    $filters[$key] = is_array($value) ? $value : [$value];
79|                }
80|            }
81|        }
82|
83|        // NOVO: Aplicar filtros de permissão
84|        $filters = $this->paPermissionService->applyPermissionFilters($filters);
85|
86|        return $filters;
87|    }
88|
89|    // ========================================
90|    // HELPER - BUSCAR MEMBER_ID CORRETO
91|    // ========================================
92|
93|    /**
94|     * Busca o company_members.id (member_id) do usuário logado na company atual
95|     * 
96|     * @return array{memberId?: int, userId?: int, companyId?: int, error?: string}|null
97|     */
98|    private function getCurrentMemberData(): ?array
99|    {
100|        // 1. Buscar company selecionada
101|        $company = $this->userAccess->getSelectedCompany();
102|        if (!$company) {
103|            return ['error' => 'Nenhuma empresa selecionada. Por favor, selecione uma empresa no sistema.'];
104|        }
105|        
106|        // 2. Buscar usuário logado
107|        $user = $this->getUser(); 
108|        if (!$user) {
109|            return ['error' => 'Usuário não autenticado. Por favor, faça login novamente.'];
110|        }
111|
112|        // UserInterface do Symfony não garante getId(), mas nossa entity User tem
113|        $userId = method_exists($user, 'getId') ? $user->getId() : null;
114|        if (!$userId) {
115|            return ['error' => 'Erro ao identificar usuário logado.'];
116|        }
117|        $companyId = $company->getId();
118|
119|        // 3. Buscar member_id (company_members.id) para esse user + company
120|        $em = $this->memberAnalysisService->getEntityManager();
121|        
122|        // Primeiro verifica se existe algum registro (para mensagem de erro mais específica)
123|        $sqlCheck = "
124|            SELECT id, enabled, is_removed
125|            FROM company_members
126|            WHERE user_id = :userId
127|                AND company_id = :companyId
128|            LIMIT 1
129|        ";
130|        
131|        $stmtCheck = $em->getConnection()->prepare($sqlCheck);
132|        $stmtCheck->bindValue('userId', $userId);
133|        $stmtCheck->bindValue('companyId', $companyId);
134|        $checkResult = $stmtCheck->executeQuery()->fetchAssociative();
135|        
136|        // Se não existe nenhum registro
137|        if (!$checkResult) {
138|            return [
139|                'error' => sprintf(
140|                    'Usuário não vinculado à empresa selecionada. (user_id: %d, company_id: %d)',
141|                    $userId,
142|                    $companyId
143|                )
144|            ];
145|        }
146|        
147|        // Se existe mas está inativo
148|        if ($checkResult['enabled'] != 1) {
149|            return [
150|                'error' => sprintf(
151|                    'Seu acesso está desabilitado nesta empresa. (user_id: %d, company_id: %d)',
152|                    $userId,
153|                    $companyId
154|                )
155|            ];
156|        } 
157|        // Se chegou aqui, busca os dados completos
158|        $sql = "
159|            SELECT id as member_id, user_id, company_id
160|            FROM company_members
161|            WHERE user_id = :userId
162|                AND company_id = :companyId
163|                AND enabled = 1 
164|            LIMIT 1
165|        ";
166|
167|        $stmt = $em->getConnection()->prepare($sql);
168|        $stmt->bindValue('userId', $userId);
169|        $stmt->bindValue('companyId', $companyId);
170|        $result = $stmt->executeQuery()->fetchAssociative();
171|        if (!$result) {
172|            return null;
173|        }  
174|        return [
175|            'memberId' => (int)$result['member_id'],
176|            'userId' => (int)$result['user_id'],
177|            'companyId' => (int)$result['company_id']
178|        ];
179|    }
180|
181|    // ========================================
182|    // ENDPOINTS - ANÁLISE DO MEMBRO
183|    // ========================================
184|
185|    /**
186|     * Endpoint: Gráfico 1 - Linha de Desempenho
187|     * GET /people-analytics/api/member-analysis/performance-line
188|     * 
189|     * Filtros suportados:
190|     * - projeto: array de IDs de projetos
191|     * - categoria-atividade: array de nomes de categorias
192|     * - prioridade-project-task: array de prioridades (1=Alta, 2=Média, 3=Baixa)
193|     * - status-project-task: array de status (1=A Fazer, 2=Em Andamento, 3=Em Atraso, 4=Finalizada)
194|     * - deadline: string (vencido, hoje, esta-semana, proxima-semana, este-mes, sem-prazo)
195|     * - turno: array de IDs de turnos
196|     * 
197|     * Usa automaticamente o usuário logado e company selecionada
198|     */
199|    #[Route('/api/member-analysis/performance-line', name: 'people_analytics_api_member_performance_line', methods: ['GET'])]
200|    public function getMemberPerformanceLine(Request $request): Response
201|    {
202|        $memberData = $this->getCurrentMemberData();
203|        
204|        if (!$memberData || isset($memberData['error'])) {
205|            return $this->json([
206|                'success' => false, 
207|                'error' => $memberData['error'] ?? 'Erro ao identificar usuário ou empresa.'
208|            ], 403);
209|        }
210|
211|        // Extrai todos os filtros do request
212|        $filters = $this->extractFilters($request);
213|        
214|        $data = $this->memberAnalysisService->getPerformanceLine($memberData['userId'], $filters);
215|        
216|        return $this->json([
217|            'success' => true,
218|            'data' => $data,
219|            'filters_applied' => $filters
220|        ]);
221|    } 
222|
223|    /**
224|     * Endpoint: Gráfico 2 - Carga de Trabalho vs Produtividade
225|     * GET /people-analytics/api/member-analysis/workload-productivity
226|     * 
227|     * Filtros suportados:
228|     * - projeto: array de IDs de projetos
229|     * - categoria-atividade: array de nomes de categorias
230|     * - turno: array de IDs de turnos
231|     * - satisfacao-dia: array de níveis (1=Muito Insatisfeito, 2=Insatisfeito, 3=Neutro, 4=Satisfeito, 5=Muito Satisfeito)
232|     */
233|    #[Route('/api/member-analysis/workload-productivity', name: 'people_analytics_api_member_workload', methods: ['GET'])]
234|    public function getMemberWorkloadProductivity(Request $request): Response
235|    {
236|        $memberData = $this->getCurrentMemberData();
237|        
238|        if (!$memberData || isset($memberData['error'])) {
239|            return $this->json([
240|                'success' => false, 
241|                'error' => $memberData['error'] ?? 'Erro ao identificar usuário ou empresa.'
242|            ], 403);
243|        }
244|
245|        // Extrai TODOS os filtros do request
246|        $filters = $this->extractFilters($request);
247|
248|        $data = $this->memberAnalysisService->getWorkloadVsProductivity($memberData['userId'], $filters);
249| 
250|        return $this->json([
251|            'success' => true,
252|            'data' => $data,
253|            'filters_applied' => $filters
254|        ]);
255|    }
256|
257|    /**
258|     * Endpoint: Gráfico 3 - Rosca de Tempo por Tipo de Atividade
259|     * GET /people-analytics/api/member-analysis/time-by-activity
260|     * 
261|     * Filtros suportados:
262|     * - categoria-atividade: array de nomes de categorias
263|     * - projeto: array de IDs de projetos
264|     * - dia-semana: array de dias (segunda, terca, quarta, quinta, sexta, sabado, domingo)
265|     * - turno: array de IDs de turnos
266|     * - faixa-duracao: array de faixas (ate-15min, 15-30min, 30-60min, 1-2h, 2-4h, acima-4h)
267|     */
268|    #[Route('/api/member-analysis/time-by-activity', name: 'people_analytics_api_member_time_activity', methods: ['GET'])]
269|    public function getMemberTimeByActivity(Request $request): Response
270|    {
271|        $memberData = $this->getCurrentMemberData();
272|        
273|        if (!$memberData || isset($memberData['error'])) {
274|            return $this->json([
275|                'success' => false, 
276|                'error' => $memberData['error'] ?? 'Erro ao identificar usuário ou empresa.'
277|            ], 403);
278|        }
279|
280|        // Extrai TODOS os filtros do request
281|        $filters = $this->extractFilters($request);
282|
283|        $data = $this->memberAnalysisService->getTimeByActivityType($memberData['userId'], $filters);
284|
285|        return $this->json([
286|            'success' => true,
287|            'data' => $data,
288|            'filters_applied' => $filters
289|        ]);
290|    }
291|
292|    /**
293|     * Endpoint: Gráfico 4 - Entregas por Projeto
294|     * GET /people-analytics/api/member-analysis/deliveries-by-project
295|     * 
296|     * Filtros suportados:
297|     * - projeto: array de IDs de projetos
298|     * - status-project-task: array de status (1=A Fazer, 2=Em Andamento, 3=Em Atraso, 4=Finalizada)
299|     * - prioridade-project-task: array de prioridades (1=Alta, 2=Média, 3=Baixa)
300|     * - deadline: string (vencido, hoje, esta-semana, proxima-semana, este-mes, sem-prazo)
301|     * - responsavel-tarefa: array de IDs de membros responsáveis
302|     * - membro: array de IDs de membros
303|     */
304|    #[Route('/api/member-analysis/deliveries-by-project', name: 'people_analytics_api_member_deliveries', methods: ['GET'])]
305|    public function getMemberDeliveriesByProject(Request $request): Response
306|    {
307|        $memberData = $this->getCurrentMemberData();
308|        
309|        if (!$memberData || isset($memberData['error'])) {
310|            return $this->json([
311|                'success' => false, 
312|                'error' => $memberData['error'] ?? 'Erro ao identificar usuário ou empresa.'
313|            ], 403);
314|        }
315|
316|        // Extrai TODOS os filtros do request
317|        $filters = $this->extractFilters($request);
318|
319|        $data = $this->memberAnalysisService->getDeliveriesByProject($memberData['userId'], $filters);
320|
321|        return $this->json([
322|            'success' => true,
323|            'data' => $data,
324|            'filters_applied' => $filters
325|        ]);
326|    }
327|
328|    /**
329|     * Endpoint: Gráfico 5 - Boxplot de Produtividade por Equipe + Membro Destacado
330|     * GET /people-analytics/api/member-analysis/team-boxplot
331|     * 
332|     * Calcula produtividade por membro baseada em activities + project_tasks.end_date,
333|     * agrupa por equipe e gera boxplot com destaque para o membro selecionado.
334|     * 
335|     * Filtros suportados:
336|     * - projeto: array de IDs de projetos (project_tasks.project_id)
337|     * - categoria-atividade: array de categorias (activities.activity_name_legacy)
338|     * - turno: array de IDs de turnos (via work_shift_members)
339|     * - faixa-produtividade: array de faixas (excelente, alta, media, baixa, critica)
340|     * - periodo/start_date/end_date: filtro de período (timesheet_days.day)
341|     */
342|    #[Route('/api/member-analysis/team-boxplot', name: 'people_analytics_api_member_boxplot', methods: ['GET'])]
343|    public function getMemberTeamBoxplot(Request $request): Response
344|    {
345|        $memberData = $this->getCurrentMemberData();
346|        
347|        if (!$memberData || isset($memberData['error'])) {
348|            return $this->json([
349|                'success' => false, 
350|                'error' => $memberData['error'] ?? 'Erro ao identificar usuário ou empresa.'
351|            ], 403);
352|        }
353|
354|        // Extrai TODOS os filtros do request
355|        $filters = $this->extractFilters($request);
356|        
357|        $data = $this->memberAnalysisService->getTeamBoxplotWithMember($memberData['memberId'], $filters);
358|
359|        return $this->json([
360|            'success' => true,
361|            'data' => $data,
362|            'filters_applied' => $filters
363|        ]);
364|    }
365|
366|    /**
367|     * Endpoint: Gráfico 6 - Ranking de Produtividade
368|     * GET /people-analytics/api/member-analysis/productivity-ranking
369|     * 
370|     * Filtros suportados:
371|     * - projeto: array de IDs de projetos
372|     * - categoria-atividade: array de nomes de categorias
373|     * - faixa-produtividade: array de faixas (excelente, alta, media, baixa, critica)
374|     * - turno: array de IDs de turnos
375|     */
376|    #[Route('/api/member-analysis/productivity-ranking', name: 'people_analytics_api_member_ranking', methods: ['GET'])]
377|    public function getMemberProductivityRanking(Request $request): Response
378|    {
379|        $memberData = $this->getCurrentMemberData();
380|        
381|        if (!$memberData || isset($memberData['error'])) {
382|            return $this->json([
383|                'success' => false, 
384|                'error' => $memberData['error'] ?? 'Erro ao identificar usuário ou empresa.'
385|            ], 403);
386|        }
387|
388|        // Extrai TODOS os filtros do request
389|        $filters = $this->extractFilters($request);
390|
391|        $data = $this->memberAnalysisService->getProductivityRanking($memberData['userId'], $filters);
392|
393|        return $this->json([
394|            'success' => true,
395|            'data' => $data,
396|            'filters_applied' => $filters
397|        ]);
398|    }
399|
400|    /**
401|     * Endpoint: Gráfico 7 - Scatter Produtividade vs Ausência
402|     * GET /people-analytics/api/member-analysis/productivity-absence-scatter
403|     * 
404|     * Filtros suportados:
405|     * - tipo-ausencia: array de tipos (medical_certificate, child_monitoring, etc)
406|     * - turno: array de IDs de turnos
407|     * - faixa-ausencia: array de faixas (nenhuma, baixa, moderada, alta, critica)
408|     * - faixa-produtividade: array de faixas (excelente, alta, media, baixa, critica)
409|     */
410|    #[Route('/api/member-analysis/productivity-absence-scatter', name: 'people_analytics_api_member_scatter', methods: ['GET'])]
411|    public function getMemberProductivityAbsenceScatter(Request $request): Response
412|    {
413|        $memberData = $this->getCurrentMemberData();
414|        
415|        if (!$memberData || isset($memberData['error'])) {
416|            return $this->json([
417|                'success' => false, 
418|                'error' => $memberData['error'] ?? 'Erro ao identificar usuário ou empresa.'
419|            ], 403);
420|        }
421|
422|        // Extrai TODOS os filtros do request
423|        $filters = $this->extractFilters($request);
424|
425|        $data = $this->memberAnalysisService->getProductivityVsAbsenceScatter($memberData['userId'], $filters);
426|
427|        return $this->json([
428|            'success' => true,
429|            'data' => $data,
430|            'filters_applied' => $filters
431|        ]);
432|    }
433|
434|    /**
435|     * Endpoint: KPIs do Módulo Análise do Membro
436|     * GET /people-analytics/api/member-analysis/kpis
437|     * 
438|     * Filtros suportados (query params):
439|     * - periodo: string (ultimo-mes, ultimo-trimestre, ultimo-semestre, ultimo-ano)
440|     * - start_date, end_date: string (Y-m-d)
441|     * - membro: array de IDs (filtrar membros específicos)
442|     * - gestor-equipe: array de IDs (filtrar por equipes)
443|     */
444|    #[Route('/api/member-analysis/kpis', name: 'people_analytics_api_member_kpis', methods: ['GET'])]
445|    public function getMemberKpis(Request $request): Response
446|    {
447|        $memberData = $this->getCurrentMemberData();
448|        
449|        if (!$memberData || isset($memberData['error'])) {
450|            return $this->json([
451|                'success' => false, 
452|                'error' => $memberData['error'] ?? 'Erro ao identificar usuário ou empresa.'
453|            ], 403);
454|        }
455|
456|        // Extrair filtros do request
457|        $filters = $this->extractFilters($request);
458|
459|        // Verificar se foi passado um membro específico no filtro
460|        $targetMemberId = $memberData['memberId'];
461|        if (isset($filters['membro']) && !empty($filters['membro'])) {
462|            $targetMemberId = (int)$filters['membro'][0];
463|        }
464|
465|        // Passar filtros para o service
466|        $kpis = $this->memberAnalysisService->getMemberKpis($targetMemberId, $filters);
467|
468|        return $this->json([
469|            'success' => true,
470|            'data' => $kpis,
471|            'filters_applied' => $filters
472|        ]);
473|    }
474|
475|    /**
476|     * Endpoint: Lista de Membros Disponíveis
477|     * GET /people-analytics/api/member-analysis/available-members
478|     * 
479|     * Retorna todos os membros ativos da empresa para seleção
480|     */
481|    #[Route('/api/member-analysis/available-members', name: 'people_analytics_api_member_list', methods: ['GET'])]
482|    public function getAvailableMembers(Request $request): Response
483|    {
484|        // 1. Buscar company selecionada
485|        $company = $this->userAccess->getSelectedCompany();
486|        if (!$company) {
487|            return $this->json([
488|                'success' => false, 
489|                'error' => 'Nenhuma empresa selecionada.'
490|            ], 403);
491|        }
492|
493|        $companyId = $company->getId();
494|        $em = $this->memberAnalysisService->getEntityManager();
495|
496|        // 2. Buscar todos os membros ativos da empresa
497|        $sql = "
498|            SELECT 
499|                cm.id AS member_id,
500|                COALESCE(up.full_name, i.name, 'Sem Nome') AS member_name,

Note: Results truncated to 500 lines. Please narrow your line range.
Request #20 deepseek-v4-flash P:74.2K C:1.35K CR:67.97K CW:0 12809ms
Reasoning
Now I understand the architecture: - The chart data endpoints (MemberAnalysisController) use `extractFilters`, apply permission filters via `paPermissionService->applyPermissionFilters`, and use `getCurrentMemberData()` to get the current logged-in user member (or sometimes the member passed as filter after permission applied). This is the chart displayed in the "Análise do Membro" page. Permission filter is applied per request. - The AI analysis endpoint (PeopleAnalyticsApiController::chartAiAnalysis) does NOT go through `applyPermissionFilters` or `getCurrentMemberData`. It just takes filters (including new arbitrary member id) from JSON, normalizes and passes to `MemberAnalysisService->getChartData`. The `MemberAnalysisService` chart methods only scope by `userAccess->getSelectedCompany()` — the company, but NOT by the logged user's own member or scope. However, this AI endpoint and its lack of per-member authorization existed before. What changed? Before this PR, did the AI endpoint work for member analysis charts at all? The template added new code specifically to support the AI for module analise_de_membro. Previously maybe the AI endpoint for analise_de_membro failed because member_id wasn't in filters. The resolver would throw InvalidArgumentException... Actually, in the resolve flow, resolver catches exception and rethrows. Actually service->getChartData threw "member_id é obrigatório" previously if no member_id. So before, the whole AI flow for member module probably returned an error page 500 (via catch in controller) if member not set. So the AI endpoint historically may have supported the member module. We need to check if the change introduces a new privilege escalation: previously, only `member_id` key was honored; now also `membro` etc. But `member_id` was already freely accepted from the request body with no check for whether it belongs to the logged user or the company. And the chart queries scope to company (selected company from user session). So cross-company data can't leak because the SQL filters by cm.company_id = selected company, and if the member ID belongs to another company there are simply no rows. Within the same company: anyone with access to the module + route can analyze any member. But that's the nature of this dashboard? Maybe managers have data isolation via `applyPermissionFilters` in the chart display endpoints (e.g., a manager restricted to their team, i.e., `gestor-equipe` filter automatically applied). Actually `PeopleAnalyticsPermissionService::applyPermissionFilters` may inject `gestor-equipe` or `membro` filters for managers. If a manager is limited to their own team, then the chart endpoints restrict data via permission filters. But the AI endpoint never applies `applyPermissionFilters`. That's a pre-existing discrepancy for all modules: the AI endpoint at controller doesn't call `paPermissionService->applyPermissionFilters`, whereas module_detail chart endpoints do. Hmm, but note other modules' chart data also comes from the same AI resolver (e.g., in produtividade dashboard) without permission? Let me check other data endpoints to see if permission filter is applied. This is the same people analytics module — a manager might be restricted. But this is pre-existing and broad; this PR specifically extends the member AI analysis to allow arbitrary member_id from URL query and body keys. Since we need to be careful: does this PR newly expand attack surface? Yes — now for the AI endpoint with module analise_de_membro, the request no longer requires `member_id` only; it also derives member from `membro`, `member_ids`, `memberId`, `company_member_id`, `companyMemberId`, `selected_member_id`, and from URL query `member_id`/`membro` on the chart page. But those all funnel to the same service path that only checks company scope; they don't apply manager/scope permission filters. If the member analysis dashboard is available only to users who are allowed to analyze any member (like HR admins), then no new issue. If there are lower-privileged manager views restricted to teams, then this endpoint (which bypasses `applyPermissionFilters`) would let a manager analyze members outside their scope by passing the member id directly. Let me check how the "Análise do Membro" chart page (member_analytics?) is protected in the template/server, and whether a manager restricted to their own team/only their own data is allowed in the module. The module appears to be "análise individual" where a member can view their own chart; maybe there is a permission "only own data". Actually earlier in this same file MemberAnalysisController, the chart data endpoints are *for the current logged user*, i.e., these are "Meus dados" style — a member sees their own performance! Look: `getCurrentMemberData()` returns member_id of the *logged-in user*; most endpoints pass `$memberData['userId']` or `$memberData['memberId']`. These are personal analytics: the member sees their own line/workload. But the KPI endpoint allows overriding target member via `filters['membro']` (only first member) with no scope validation — hmm that's pre-existing. So for the AI analysis flow: previously, the frontend might set member_id from...? Wait — for the "Análise do Membro" page, which members can you select? `getAvailableMembers` returns all active members of the company for selection. So it's likely an HR/admin tool where you select any member to view their analytics, or the member sees only themselves. The key question for an authorization issue: is there any server-side check restricting which members a user may select/view? Let's read getAvailableMembers fully and PeopleAnalyticsPermissionService.applyPermissionFilters to see if there's data isolation by role/scope (e.g., only own data or team data).
Tool Calls (2)
file_read
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{"end_line": 533, "file_path": "src/Controller/Api/PeopleAnalytics/MemberAnalysisController.php", "start_line": 495}
File: src/Controller/Api/PeopleAnalytics/MemberAnalysisController.php (Total lines: 533)
IS_TRUNCATED: false
LINE_RANGE: 495-533
495|
496|        // 2. Buscar todos os membros ativos da empresa
497|        $sql = "
498|            SELECT 
499|                cm.id AS member_id,
500|                COALESCE(up.full_name, i.name, 'Sem Nome') AS member_name,
501|                cm.role,
502|                cm.teams
503|            FROM company_members cm
504|            LEFT JOIN user u ON u.id = cm.user_id
505|            LEFT JOIN user_profile up ON up.user_id = u.id
506|            LEFT JOIN invitation i ON i.id = cm.invitation_id
507|            WHERE cm.company_id = :companyId
508|                AND cm.enabled = 1
509|                AND (cm.is_removed IS NULL OR cm.is_removed = 0)
510|            ORDER BY member_name ASC
511|        ";
512|
513|        $stmt = $em->getConnection()->prepare($sql);
514|        $stmt->bindValue('companyId', $companyId);
515|        $members = $stmt->executeQuery()->fetchAllAssociative();
516|
517|        // 3. Formatar para o frontend
518|        $formattedMembers = array_map(function($member) {
519|            return [
520|                'value' => (int)$member['member_id'],
521|                'label' => $member['member_name']
522|            ];
523|        }, $members);
524|
525|        return $this->json([
526|            'success' => true,
527|            'data' => $formattedMembers,
528|            'total' => count($formattedMembers)
529|        ]);
530|    }
531|}
532|
533|    
file_find
Show Details
{"query_name": "PeopleAnalyticsPermissionService"}
src/Service/PeopleAnalytics/PeopleAnalyticsPermissionService.php
Request #21 deepseek-v4-flash P:76.01K C:92 CR:75.52K CW:0 1395ms
Reasoning
Let me read `PeopleAnalyticsPermissionService.php` to see the applyPermissionFilters and whether it constrains members by scope (like gestor only sees own team).
Tool Calls (1)
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{"file_path": "src/Service/PeopleAnalytics/PeopleAnalyticsPermissionService.php"}
File: src/Service/PeopleAnalytics/PeopleAnalyticsPermissionService.php (Total lines: 554)
IS_TRUNCATED: true
LINE_RANGE: 1-500
1|<?php
2|
3|namespace App\Service\PeopleAnalytics;
4|
5|use App\Entity\CompanyMembers;
6|use App\Entity\CompanyTeamGroup;
7|use App\Entity\PermissionTag;
8|use App\Entity\PermissionTagByMember;
9|use App\Entity\Product;
10|use App\Security\UserContext;
11|use App\Service\UserAccessService;
12|use Doctrine\ORM\EntityManagerInterface;
13|use Psr\Log\LoggerInterface;
14|
15|/**
16| * Serviço de Permissões para People Analytics
17| * 
18| * Gerencia controle de acesso baseado nas flags da PermissionTag:
19| * - can_view = false => escopo próprio (self)
20| * - can_view = true e team_limitation = true => escopo de equipe (team)
21| * - can_view = true e team_limitation = false => escopo empresa (company)
22| * 
23| * @see docs/people-analytics/permission-system/PERMISSION-SYSTEM-OVERVIEW.md
24| */
25|class PeopleAnalyticsPermissionService
26|{
27|    private const SCOPE_SELF = 'self';
28|    private const SCOPE_TEAM = 'team';
29|    private const SCOPE_COMPANY = 'company';
30|
31|    public function __construct(
32|        private UserContext $userContext,
33|        private UserAccessService $userAccess,
34|        private EntityManagerInterface $em,
35|        private LoggerInterface $logger
36|    ) {}
37|
38|    /**
39|     * Retorna contexto de permissão do usuário atual
40|     * 
41|     * Estrutura retornada:
42|     * [
43|     *     'role' => int|null (id da tag, quando existir),
44|     *     'roleName' => string,
45|     *     'canView' => bool,
46|     *     'canEdit' => bool,
47|     *     'teamLimitation' => bool,
48|     *     'scope' => self|team|company,
49|     *     'restrictToSelf' => bool,
50|     *     'restrictToTeam' => bool,
51|     *     'memberId' => int|null,
52|     *     'teamGroupId' => int|null,
53|     *     'canViewAll' => bool,
54|     *     'autoFilters' => array,
55|     * ]
56|     */
57|    public function getPermissionContext(): array
58|    {
59|        $user = $this->userContext->getUser();
60|        $currentMember = $this->getCurrentMember();
61|
62|        if ($user && ($user->isSuperAdmin() || $user->isManager())) {
63|            return $this->buildAdminContext($currentMember, $user->isSuperAdmin() ? 'Super Admin' : 'Manager');
64|        }
65|        
66|        if (!$currentMember) {
67|            $this->logger->warning('[PA Permission] Usuário sem CompanyMember encontrado');
68|            return $this->getDefaultContext();
69|        }
70|
71|        // IMPORTANTE: Buscar a tag ESPECÍFICA para o produto People Analytics
72|        // (não usar global_permission_tag_id, pois o usuário pode ter tags diferentes por produto!)
73|        $peopleAnalyticsProduct = $this->em->getRepository(Product::class)->findOneBy(['slug' => 'people-analytics']);
74|        
75|        $permissionTag = null;
76|        
77|        if ($peopleAnalyticsProduct) {
78|            $permissionTagByMember = $this->em->getRepository(PermissionTagByMember::class)->findOneBy([
79|                'companyMemberID' => $currentMember->getId(),
80|                'productID' => $peopleAnalyticsProduct->getId(),
81|            ]);
82|            
83|            if ($permissionTagByMember) {
84|                // getTagID() retorna INT, não objeto
85|                $tagId = $permissionTagByMember->getTagID();
86|                
87|                // Buscar o objeto PermissionTag completo
88|                $permissionTag = $this->em->getRepository(PermissionTag::class)->find($tagId);
89|                
90|            }
91|        }
92|        
93|        // Fallback: se não tiver tag específica, usar global
94|        if (!$permissionTag) {
95|            $globalTag = $currentMember->getGlobalPermissionTag();
96|            
97|            if ($globalTag) {
98|                // getGlobalPermissionTag() retorna objeto PermissionTag
99|                $permissionTag = $globalTag;
100|            }
101|        }
102|        
103|        $memberId = $currentMember->getId();
104|        $teamGroup = $currentMember->getTeamGroup();
105|        $teamGroupId = $teamGroup ? $teamGroup->getId() : null;
106|        $scope = $this->resolveScope($permissionTag);
107|
108|        // Determinar filtros automáticos baseados no escopo da tag
109|        $autoFilters = $this->determineAutoFilters($scope, $memberId, $teamGroupId);
110|
111|        $context = [
112|            'role' => $permissionTag?->getId(),
113|            'roleName' => $permissionTag?->getName() ?? 'Sem tag (fallback)',
114|            'permissionTagId' => $permissionTag?->getId(),
115|            'permissionTagName' => $permissionTag?->getName(),
116|            'canView' => $permissionTag ? (bool) $permissionTag->getCanView() : true,
117|            'canEdit' => $permissionTag ? (bool) $permissionTag->getCanEdit() : true,
118|            'teamLimitation' => $permissionTag ? (bool) $permissionTag->getTeamLimitation() : false,
119|            'scope' => $scope,
120|            'restrictToSelf' => $scope === self::SCOPE_SELF,
121|            'restrictToTeam' => $scope === self::SCOPE_TEAM,
122|            'memberId' => $memberId,
123|            'teamGroupId' => $teamGroupId,
124|            'canViewAll' => $scope === self::SCOPE_COMPANY,
125|            'autoFilters' => $autoFilters,
126|        ];
127|        
128|        return $context;
129|    }
130|
131|    /**
132|     * Aplica filtros automáticos baseados na permissão do usuário
133|     * 
134|     * Garante que usuários não possam burlar as restrições via frontend:
135|     * - Escopo self: força filtro membro={memberId}
136|     * - Escopo team: força filtro gestor-equipe={teamGroupId}
137|     * - Escopo company: sem filtros forçados
138|     */
139|    public function applyPermissionFilters(array $filters): array
140|    {
141|        $context = $this->getPermissionContext();
142|        $memberId = $context['memberId'];
143|        $teamGroupId = $context['teamGroupId'];
144|        $scope = $context['scope'];
145|
146|        // Escopo self - força filtro do próprio membro
147|        if ($scope === self::SCOPE_SELF && $memberId) {
148|            // IMPORTANTE: Retornar como array para compatibilidade com todos os controllers
149|            $filters['membro'] = [$memberId];
150|            
151|            // Remove filtros não permitidos
152|            unset($filters['gestor-equipe'], $filters['equipe_ids']);
153|            
154|            $this->logger->info('[PA Permission] Escopo self: Aplicado filtro membro', [
155|                'memberId' => $memberId,
156|            ]);
157|        }
158|
159|        // Escopo team - força filtro da equipe
160|        if ($scope === self::SCOPE_TEAM) {
161|            if ($teamGroupId) {
162|                // IMPORTANTE: Retornar como array para compatibilidade com todos os controllers
163|                $filters['gestor-equipe'] = [$teamGroupId];
164|                
165|                $this->logger->info('[PA Permission] Escopo team: Aplicado filtro equipe', [
166|                    'teamGroupId' => $teamGroupId,
167|                ]);
168|            } else {
169|                $this->logger->warning('[PA Permission] Escopo team sem teamGroup definido', [
170|                    'memberId' => $memberId,
171|                ]);
172|            }
173|            
174|            // Se filtro de membro foi aplicado, validar que pertence à equipe
175|            if (isset($filters['membro']) && $teamGroupId) {
176|                // Suporta tanto int quanto array
177|                $memberIdToValidate = is_array($filters['membro']) ? $filters['membro'][0] : $filters['membro'];
178|                $isValid = $this->validateMemberBelongsToTeam($memberIdToValidate, $teamGroupId);
179|                
180|                if (!$isValid) {
181|                    $this->logger->warning('[PA Permission] Tentativa de acesso a membro fora da equipe', [
182|                        'scope' => $scope,
183|                        'requestedMemberId' => $memberIdToValidate,
184|                        'teamGroupId' => $teamGroupId,
185|                    ]);
186|                    
187|                    // Remove filtro inválido
188|                    unset($filters['membro']);
189|                }
190|            }
191|        }
192|
193|        // Escopo company: sem restrições forçadas
194|        if ($scope === self::SCOPE_COMPANY) {
195|            $this->logger->info('[PA Permission] Escopo company: acesso sem restrições forçadas', [
196|                'scope' => $scope,
197|                'filters' => $filters,
198|            ]);
199|        }
200|
201|        return $filters;
202|    }
203|
204|    /**
205|     * Filtra opções disponíveis nos filtros baseado na permissão
206|     * 
207|     * Remove completamente filtros não permitidos ou ajusta suas opções
208|     */
209|    public function filterAvailableFilters(array $filters): array
210|    {
211|        $context = $this->getPermissionContext();
212|        $teamGroupId = $context['teamGroupId'];
213|        $scope = $context['scope'];
214|
215|        // Escopo self: remove filtros de membro e equipe
216|        if ($scope === self::SCOPE_SELF) {
217|            unset($filters['membro'], $filters['gestor-equipe']);
218|            
219|            $this->logger->debug('[PA Permission] Escopo self: filtros removidos', [
220|                'removed' => ['membro', 'gestor-equipe'],
221|            ]);
222|        }
223|
224|        // Escopo team: remove filtro de equipe, ajusta filtro de membro para a equipe
225|        if ($scope === self::SCOPE_TEAM) {
226|            // Remove filtro de equipe (não pode selecionar outras equipes)
227|            unset($filters['gestor-equipe']);
228|            
229|            // Ajusta filtro de membro para mostrar apenas membros da equipe
230|            if (isset($filters['membro']) && $teamGroupId) {
231|                $filters['membro']['options'] = $this->getAccessibleMembers($teamGroupId);
232|            }
233|            
234|            $this->logger->debug('[PA Permission] Escopo team: filtros ajustados', [
235|                'removed' => ['gestor-equipe'],
236|                'adjusted' => ['membro'],
237|            ]);
238|        }
239|
240|        // Escopo company: todos os filtros disponíveis (sem modificações)
241|
242|        return $filters;
243|    }
244|
245|    /**
246|     * Retorna lista de membros acessíveis baseado na permissão
247|     */
248|    public function getAccessibleMembers(?int $teamGroupId = null): array
249|    {
250|        $context = $this->getPermissionContext();
251|        $scope = $context['scope'];
252|
253|        // Escopo self: sem acesso à lista de membros
254|        if ($scope === self::SCOPE_SELF) {
255|            return [];
256|        }
257|
258|        // Escopo team: apenas membros da equipe
259|        if ($scope === self::SCOPE_TEAM) {
260|            $teamId = $teamGroupId ?? $context['teamGroupId'];
261|            
262|            if (!$teamId) {
263|                return [];
264|            }
265|            
266|            return $this->getMembersByTeam($teamId);
267|        }
268|
269|        // Escopo company: todos os membros da empresa
270|        return $this->getAllMembers();
271|    }
272|
273|    /**
274|     * Retorna lista de equipes acessíveis baseado na permissão
275|     */
276|    public function getAccessibleTeams(): array
277|    {
278|        $context = $this->getPermissionContext();
279|        $scope = $context['scope'];
280|
281|        // Apenas escopo company acessa seleção de equipes
282|        if ($scope !== self::SCOPE_COMPANY) {
283|            return [];
284|        }
285|
286|        // Escopo company: todas as equipes
287|        return $this->getAllTeams();
288|    }
289|
290|    /**
291|     * Valida se usuário tem permissão para visualizar um membro específico
292|     */
293|    public function canViewMember(int $memberId): bool
294|    {
295|        $context = $this->getPermissionContext();
296|        $scope = $context['scope'];
297|
298|        // Escopo company: pode ver todos
299|        if ($scope === self::SCOPE_COMPANY) {
300|            return true;
301|        }
302|
303|        // Escopo self: apenas o próprio membro
304|        if ($scope === self::SCOPE_SELF) {
305|            return $memberId === $context['memberId'];
306|        }
307|
308|        // Escopo team: membros da equipe
309|        if ($scope === self::SCOPE_TEAM) {
310|            $teamGroupId = $context['teamGroupId'];
311|            
312|            if (!$teamGroupId) {
313|                return false;
314|            }
315|            
316|            return $this->validateMemberBelongsToTeam($memberId, $teamGroupId);
317|        }
318|
319|        return false;
320|    }
321|
322|    // ==========================================
323|    // MÉTODOS PRIVADOS
324|    // ==========================================
325|
326|    /**
327|     * Obtém CompanyMember do usuário atual
328|     * Usa a mesma lógica do MemberPermissionService
329|     */
330|    private function getCurrentMember(): ?CompanyMembers
331|    {
332|        $user = $this->userContext->getUser();
333|        
334|        if (!$user) {
335|            return null;
336|        }
337|        
338|        // Tenta pegar company do UserAccessService, senão usa do próprio user
339|        $companyFromService = $this->userAccess->getSelectedCompany();
340|        $companyFromUser = $user->getCompany();
341|        
342|        $company = $companyFromService ?? $companyFromUser;
343|
344|        if (!$company) {
345|            return null;
346|        }
347|
348|        $member = $this->em->getRepository(CompanyMembers::class)->findOneBy([
349|            'user' => $user,
350|            'company' => $company,
351|            'isRemoved' => false,
352|            'enabled' => true,
353|        ]);
354|        
355|        return $member;
356|    }
357|
358|    private function resolveScope(?PermissionTag $permissionTag): string
359|    {
360|        if (!$permissionTag) {
361|            return self::SCOPE_COMPANY;
362|        }
363|
364|        if (!(bool) $permissionTag->getCanView()) {
365|            return self::SCOPE_SELF;
366|        }
367|
368|        if ((bool) $permissionTag->getTeamLimitation()) {
369|            return self::SCOPE_TEAM;
370|        }
371|
372|        return self::SCOPE_COMPANY;
373|    }
374|
375|    /**
376|     * Determina filtros automáticos baseados no escopo da tag
377|     */
378|    private function determineAutoFilters(string $scope, ?int $memberId, ?int $teamGroupId): array
379|    {
380|        $autoFilters = [];
381|
382|        // Escopo self: filtro de membro
383|        if ($scope === self::SCOPE_SELF && $memberId) {
384|            $autoFilters['membro'] = $memberId;
385|        }
386|
387|        // Escopo team: filtro de equipe
388|        if ($scope === self::SCOPE_TEAM && $teamGroupId) {
389|            $autoFilters['gestor-equipe'] = $teamGroupId;
390|        }
391|
392|        // Escopo company: sem filtros automáticos
393|
394|        return $autoFilters;
395|    }
396|
397|    /**
398|     * Valida se membro pertence à equipe
399|     */
400|    private function validateMemberBelongsToTeam(int $memberId, int $teamGroupId): bool
401|    {
402|        $member = $this->em->getRepository(CompanyMembers::class)->find($memberId);
403|        
404|        if (!$member) {
405|            return false;
406|        }
407|
408|        $memberTeamGroup = $member->getTeamGroup();
409|        
410|        if (!$memberTeamGroup) {
411|            return false;
412|        }
413|
414|        return $memberTeamGroup->getId() === $teamGroupId;
415|    }
416|
417|    /**
418|     * Busca membros por equipe
419|     */
420|    private function getMembersByTeam(int $teamGroupId): array
421|    {
422|        $company = $this->userAccess->getSelectedCompany();
423|        
424|        if (!$company) {
425|            return [];
426|        }
427|
428|        $members = $this->em->getRepository(CompanyMembers::class)->createQueryBuilder('cm')
429|            ->where('cm.company = :company')
430|            ->andWhere('cm.teamGroup = :teamGroup')
431|            ->andWhere('cm.isRemoved = :removed')
432|            ->andWhere('cm.enabled = :enabled')
433|            ->setParameter('company', $company)
434|            ->setParameter('teamGroup', $teamGroupId)
435|            ->setParameter('removed', false)
436|            ->setParameter('enabled', true)
437|            ->getQuery()
438|            ->getResult();
439|
440|        return array_map(function (CompanyMembers $member) {
441|            return [
442|                'value' => $member->getId(),
443|                'label' => $member->getFullName(),
444|            ];
445|        }, $members);
446|    }
447|
448|    /**
449|     * Busca todos os membros da empresa
450|     */
451|    private function getAllMembers(): array
452|    {
453|        $company = $this->userAccess->getSelectedCompany();
454|        
455|        if (!$company) {
456|            return [];
457|        }
458|
459|        $members = $this->em->getRepository(CompanyMembers::class)->createQueryBuilder('cm')
460|            ->where('cm.company = :company')
461|            ->andWhere('cm.isRemoved = :removed')
462|            ->andWhere('cm.enabled = :enabled')
463|            ->setParameter('company', $company)
464|            ->setParameter('removed', false)
465|            ->setParameter('enabled', true)
466|            ->orderBy('cm.id', 'ASC')
467|            ->getQuery()
468|            ->getResult();
469|
470|        return array_map(function (CompanyMembers $member) {
471|            return [
472|                'value' => $member->getId(),
473|                'label' => $member->getFullName(),
474|            ];
475|        }, $members);
476|    }
477|
478|    /**
479|     * Busca todas as equipes da empresa
480|     */
481|    private function getAllTeams(): array
482|    {
483|        $company = $this->userAccess->getSelectedCompany();
484|        
485|        if (!$company) {
486|            return [];
487|        }
488|
489|        $teams = $this->em->getRepository(CompanyTeamGroup::class)->createQueryBuilder('t')
490|            ->where('t.company = :company')
491|            ->setParameter('company', $company)
492|            ->orderBy('t.name', 'ASC')
493|            ->getQuery()
494|            ->getResult();
495|
496|        return array_map(function (CompanyTeamGroup $team) {
497|            return [
498|                'value' => $team->getId(),
499|                'label' => $team->getName(),
500|            ];

Note: Results truncated to 500 lines. Please narrow your line range.
Request #22 deepseek-v4-flash P:81.25K C:2.17K CR:76.03K CW:0 18894ms
Reasoning
Confirmed: People Analytics has a robust permission system with scope self/team/company, applied server-side by `applyPermissionFilters` in the chart data controllers, with `canViewMember` validation. The AI analysis endpoint (PeopleAnalyticsApiController::chartAiAnalysis) never calls `applyPermissionFilters` nor `canViewMember`. That is a pre-existing issue (the AI endpoint didn't apply them for any module). But this PR's whole point is enabling the "Análise Individual" (analise_de_membro) AI flow and now the frontend can set `member_id` directly from URL param. If a user with self or team scope hits this AI endpoint for member charts, the MemberAnalysisService queries just scope by the selected company and by `membro` filter from the request — i.e., a self-scoped user could set `member_id` to any other member of the company and the queries would return that member's data (because `cm.id IN (:membro)` applied). Wait — but is that a NEW capability introduced by this PR, or already present? Previously (before PR), for the AI endpoint on analise_de_membro, member_id key was accepted and used by MemberAnalysisService->getChartData, which simply didn't set `membro` filter; the queries weren't restricted by member at all — company-scope aggregate data was sent. Actually wait, that means before the PR, the AI for member module returned company aggregates (not member data). The new code adds filtering by member for AI. So the newly introduced behavior is: sending the *selected member's* data to the AI. If the user isn't allowed to view that member (scope self/team), this PR creates the leak: previously, AI would send company aggregates (which is also over-broad but not member-targeted), and the chart display itself was via different endpoints with permission filters. But hold on: The chart_detail page for module analise_de_membro is presumably displayed with data fetched from the permission-filtered endpoints; so the user sees the chart only if authorized. Then pressing "generate AI analysis" sends the current filters, including the member. Since the chart displayed data is authorized, the AI analysis based on the same data seems fine for an authorized user viewing the page. However, the AI endpoint is server-side and callable directly with arbitrary member id (CSRF not an issue since... there's cookie auth; direct POST possible). It bypasses scope. That's the vulnerability, and it is newly created by the member-filtering change. Actually, wait: is the AI endpoint even secured at all at the module level? Where's the module permission check? The controller only validates module string. Maybe the whole route set requires a permission somewhere else (e.g., route security based on access to the page). This is pre-existing for all modules and applies equally; but the newly added member-filter feature makes member data leak potential. Let me consider whether we can state a concrete new leak: A user with scope self, using the AI endpoint directly, could request module `analise_de_membro`, chart `chart-carga-produtividade`, with filters {member_id: <any member>} — and get that member's workload/productivity data sent to an external AI (DeepSeek). That's cross-member data exposure (to the user and to the AI vendor). This is enabled because the PR added member_id derivation and ensured the queries filter by the member. However, even before, the same user could request module... member module required member_id? Actually before this PR, MemberAnalysisService threw "member_id é obrigatório" if no member_id; if member_id present, data was company-wide anyway (not member filtered) — wait, was it? Before this PR, `getChartData` reads `member_id` but the chart methods (getWorkloadVsProductivity etc.) don't filter by member unless `membro` filter exists in $filters. Before PR the `membro` mapping existed already for `membro`→? Let's check: keyMappings before PR included 'member','members' → member_ids; 'membro' was newly added. And `buildFilterClauses` uses `filters['membro']`. Old flow: normalized filters had member_id but not `membro`, so SQL not restricted by member → company aggregate → no per-member leak (though broad). And actually getWorkloadVsProductivity would return company aggregates regardless. So member-specific data was NOT sent to AI before. After the PR, member-specific data IS sent to the AI for any member_id accepted, without server-side scope check. This is a genuine new exposure for scoped (non-company) users. Wait, but there's a nuance: The AI service/controller also doesn't call applyPermissionFilters for the OTHER modules either. But those modules don't have per-member data risk: they show aggregate dashboards. The member module is the sensitive one. Also note the new JS template reads member from URL param and sets it into filters client-side, but that's just client. The server accepts arbitrary member ids from POST body. So issue #2 is real: the server accepts member id from arbitrary keys without validating against PeopleAnalyticsPermissionService (scope self/team/company). I should confirm whether the module page itself restricts who can access "analise_de_membro". Let's quickly check the template/module controller to see if the page has a guard (like requires scope company). But even with page guard, the AI endpoint itself should validate since it's a separate callable API route. Let me check for permission checks in PeopleAnalyticsApiController for the AI route — we already saw none besides module validation and company injection. Actually the whole controller is small (170 lines). Also is there any framework-level access control for that route group, e.g., a security.yaml or a parent route with `security: is_granted`? Hard to know. But the diff inside this PR adds new acceptance of member ids for AI analysis without permission check, which is a legitimate medium/high comment. Now let's also consider the `company_id` injection: controller sets filters['company_id'] from userContext company. Chart methods ignore that and use userAccess->getSelectedCompany() — consistent. Now, issue #3: insufficient data shortcut interplay with privacy fallback. Order in analyze(): - privacyCheck before the hasInsufficientData early return. If privacyCheck not allowed → privacyFallbackResponse (before the early return). So privacy is checked first, meaning if data is empty but privacy passes (empty categories don't break privacy?), then insufficient data triggers. So privacy fallback not intercepted? The new early return comes after privacy check, so privacy still takes priority. Wait: privacy check runs before building aiPayload? Let me re-read: lines 65-73: qualityFlags computed at line 66; privacyCheck at 69; if not allowed return privacyFallbackResponse. Then build aiPayload; then hasInsufficientData early return. So privacy takes precedence. Good, so issue #3's claim "pode entrar antes de respostas específicas já existentes (fallback de privacidade)" is actually false in order; privacy is checked first. So that part is not a valid issue. But the broader claim "for any chart with empty_data ... inclusive fora do módulo de membro" changes behavior of all modules — charts that previously were sent to AI even when empty would now be short-circuited with the generic message. Is that a behavior change? Since the PR is about member analysis bug (charts with real data being sent empty). The insufficient data shortcut affects ALL modules and charts, not just member. However, given the overall bug being fixed (AI being asked about charts with no data), returning an informative message instead of burning a paid call is reasonable... but it changes the whole product's behavior. And there's a subtlety: `hasInsufficientData` triggers when `empty($derivedMetrics)` too. Let me examine `ChartDerivedMetricsCalculator::calculate` - what does it return if data is empty? If categories empty but datasets present, returns array with totals etc. Actually derivedMetrics will be an array with structure; `empty($derivedMetrics)` false because array non-empty even if all zero. So `empty_data` and `missing_dimensions` are the main triggers. Let me check what `calculateQualityFlags` produces and what flags charts previously could have (e.g., empty_data). If before the PR, a chart with no data in, say, diversidade module would still call DeepSeek (cost + fabricated answer?). Then new early return is an improvement, not regression, except it returns success:true with a generic message instead of calling AI. The front-end helper renders title etc. Actually the front-end `renderAnalysis` in the shared helper will render the panel with the generic content — that's okay. But careful: `insufficientDataResponse` returns `success: true` with `ai_provider: null`; the JS only checks `json.success === true` and then `resolve(json.ai_analysis || {})`. Fine. Another subtlety: `empty($derivedMetrics)` — if a dataset exists with values all zero (numeric values 0), array_filter drops them (0 is removed by 'is_numeric'? no, array_filter without callback removes falsy values; here they use array_filter($values, 'is_numeric') so 0 kept). Values of 0 remain; derivedMetrics computed with total 0. Hmm — hasInsufficientData may not trigger for all-zero charts (which are arguably "no data"). But not required to flag. The privacy order point means my issue #3 as written is weaker. Let me verify what qualityFlags exist: 'empty_data', 'missing_dimensions' - what other flags? If privacy flag is separate from quality flags, then privacy handled earlier, so no interception. Let me check calculateQualityFlags and checkPrivacy quickly.
Tool Calls (1)
code_search
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{"file_patterns": ["src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php"], "search_text": "function calculateQualityFlags|function checkPrivacy|empty_data|missing_dimensions"}
No matches found
Request #23 deepseek-v4-flash P:83.43K C:117 CR:83.33K CW:0 1650ms
Reasoning
Hmm, no matches. Maybe calculateQualityFlags/checkPrivacy are in another class or maybe private functions in this file with different naming. Let me search across the Chart folder.
Tool Calls (1)
code_search
Show Details
{"search_text": "empty_data|missing_dimensions|calculateQualityFlags", "file_patterns": ["src/Service/PeopleAnalytics/"]}
No matches found
Request #24 deepseek-v4-flash P:83.56K C:57 CR:83.46K CW:0 1449ms
Reasoning
Strange. Let me search all of src.
Tool Calls (1)
code_search
Show Details
{"search_text": "missing_dimensions"}
File: src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php
Match lines: 5
201|        //     "missing_dimensions"
321|            // "limitations": ["Dados fornecidos não contêm categorias ou séries específicas para análise", "Métricas derivadas estão vazias, impossibilitando cálculos adicionais", "Flag 'missing_dimensions' indica falta de estruturação dos dados", "Período de análise muito curto (1 mês) para tendências significativas"],
561|                    $flags[] = 'missing_dimensions';
567|                    $flags[] = 'missing_dimensions';
588|            || in_array('missing_dimensions', $qualityFlags, true)

Request #25 deepseek-v4-flash P:83.79K C:93 CR:83.58K CW:0 1726ms
Tool Calls (1)
file_read
Show Details
{"end_line": 660, "file_path": "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php", "start_line": 500}
File: src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php (Total lines: 655)
IS_TRUNCATED: false
LINE_RANGE: 500-655
500|    {
501|        // Tentar parsear direto
502|        $json = json_decode($response, true);
503|        if ($json !== null && json_last_error() === JSON_ERROR_NONE) {
504|            return $json;
505|        }
506|
507|        // Procurar JSON entre ```json e ``` ou entre { e }
508|        if (preg_match('/```json\s*(\{.*\})\s*```/s', $response, $matches)) {
509|            $json = json_decode($matches[1], true);
510|            if ($json !== null) return $json;
511|        }
512|
513|        if (preg_match('/(\{[^{}]*(?:\{[^{}]*\}[^{}]*)*\})/s', $response, $matches)) {
514|            $json = json_decode($matches[1], true);
515|            if ($json !== null) return $json;
516|        }
517|
518|        return null;
519|    }
520|
521|    /**
522|     * Valida a resposta da IA
523|     */
524|    private function validateResponse(array $response, array $payload): array
525|    {
526|        // Garantir campos obrigatórios
527|        $validated = [
528|            'title' => $response['title'] ?? 'Análise do Gráfico',
529|            'summary' => $response['summary'] ?? '',
530|            'key_insights' => $response['key_insights'] ?? [],
531|            'projections' => $response['projections'] ?? [], // ⭐ NOVO: Campo de projeções
532|            'attention_points' => $response['attention_points'] ?? [],
533|            'recommended_actions' => $response['recommended_actions'] ?? [],
534|            'follow_up_questions' => $response['follow_up_questions'] ?? [],
535|            'limitations' => $response['limitations'] ?? [],
536|            'confidence' => $response['confidence'] ?? 'medio'
537|        ];
538|
539|        // TODO: Validação numérica avançada (comparar números no texto com derived_metrics)
540|
541|        return $validated;
542|    }
543|
544|    /**
545|     * Calcula quality flags dos dados
546|     */
547|    private function calculateQualityFlags(array $data, string $shape): array
548|    {
549|        $flags = [];
550|
551|        // Verificar dados vazios
552|        if (empty($data)) {
553|            $flags[] = 'empty_data';
554|            return $flags;
555|        }
556|
557|        // Verificações específicas por shape
558|        switch ($shape) {
559|            case 'time_series':
560|                if (empty($data['labels']) || empty($data['datasets'])) {
561|                    $flags[] = 'missing_dimensions';
562|                }
563|                break;
564|
565|            case 'category_series':
566|                if (empty($data['categories']) || empty($data['series'])) {
567|                    $flags[] = 'missing_dimensions';
568|                }
569|                break;
570|        }
571|
572|        return $flags;
573|    }
574|
575|    /**
576|     * Verifica privacidade dos dados
577|     */
578|    private function checkPrivacy(array $data, array $metadata): array
579|    {
580|        // TODO: Implementar verificação real de privacidade
581|        // Por enquanto, sempre permitir
582|        return ['allowed' => true];
583|    }
584|
585|    private function hasInsufficientData(array $qualityFlags, array $derivedMetrics): bool
586|    {
587|        return in_array('empty_data', $qualityFlags, true)
588|            || in_array('missing_dimensions', $qualityFlags, true)
589|            || empty($derivedMetrics);
590|    }
591|
592|    private function insufficientDataResponse(string $module, string $chartId, array $resolved, array $aiPayload): array
593|    {
594|        return [
595|            'success' => true,
596|            'module' => $module,
597|            'chart_id' => $chartId,
598|            'filters_applied' => $resolved['filters_applied'],
599|            'chart_meta' => $resolved['chart_meta'],
600|            'chart_data' => $resolved['chart_data'],
601|            'ai_payload' => $aiPayload,
602|            'ai_analysis' => [
603|                'title' => 'Dados insuficientes para análise',
604|                'summary' => 'Não há dados suficientes para gerar uma análise confiável neste recorte.',
605|                'key_insights' => [],
606|                'projections' => [],
607|                'attention_points' => [
608|                    'O gráfico não retornou categorias, séries ou métricas suficientes para análise.',
609|                ],
610|                'recommended_actions' => [
611|                    'Verifique se o colaborador possui dados no período selecionado.',
612|                    'Amplie o período ou ajuste os filtros antes de solicitar a análise novamente.',
613|                ],
614|                'follow_up_questions' => [],
615|                'limitations' => [
616|                    'A análise automática não foi enviada à IA porque o payload não contém dados mínimos.',
617|                ],
618|                'confidence' => 'baixo',
619|            ],
620|            'ai_provider' => null,
621|            'ai_model' => null,
622|            'generated_at' => (new \DateTime())->format('c')
623|        ];
624|    }
625|
626|    /**
627|     * Resposta fallback para casos de privacidade
628|     */
629|    private function privacyFallbackResponse(string $module, string $chartId, array $resolved): array
630|    {
631|        return [
632|            'success' => true,
633|            'module' => $module,
634|            'chart_id' => $chartId,
635|            'filters_applied' => $resolved['filters_applied'],
636|            'chart_meta' => $resolved['chart_meta'],
637|            'chart_data' => $resolved['chart_data'],
638|            'ai_analysis' => [
639|                'title' => 'Dados Insuficientes',
640|                'summary' => 'Os dados disponíveis não atendem aos requisitos mínimos de privacidade para análise detalhada.',
641|                'key_insights' => [],
642|                'attention_points' => ['Grupos com menos de 5 membros foram suprimidos por privacidade'],
643|                'recommended_actions' => ['Ampliar os filtros para incluir mais dados'],
644|                'follow_up_questions' => [],
645|                'limitations' => ['Análise limitada por requisitos de privacidade (LGPD)'],
646|                'confidence' => 'baixo'
647|            ],
648|            'ai_provider' => 'deepseek',
649|            'generated_at' => (new \DateTime())->format('c')
650|        ];
651|    }
652|}
653|
654|
655|
Request #26 deepseek-v4-flash P:85.6K C:443 CR:83.84K CW:0 4142ms
Reasoning
Key observations: - `checkPrivacy` always returns `allowed: true` (TODO not implemented). So the "privacy fallback" concern in issue #3 is moot — the privacy fallback never fires today. So the claim about "pode entrar antes de respostas específicas já existentes (fallback de privacidade)" doesn't apply since privacy check already precedes the new check and is always allowed. - However, there's a subtle issue: the new `hasInsufficientData` early return happens for ALL modules and chart types, and the message in `attention_points`/`recommended_actions` is written in member-specific language ("Verifique se o colaborador possui dados no período selecionado"). For a company-level dashboard module (e.g., diversidade), saying "Verifique se o colaborador possui dados" is odd, but this is a minor content issue. Also note `missing_dimensions` triggers for category_series when categories empty or series empty. But wait, does the canonical data structure use 'categories'/'series' keys for category_series? canonicalShape is inferred from `chart_meta.chart_type`. For member module charts, chart_meta comes from resolver getChartMetadata which now uses `$chartData['title']`/`$chartData['type']` — since MemberAnalysisService now merges chartMetadata into chartData (title/type), chart_meta has title/type, and canonical_shape becomes correct (e.g., line/donut). Previously `chartData` had no 'title'/'type' keys (title 'Gráfico', type 'unknown') — canonical shape falls to inferCanonicalShapeFromStructure. OK. Now let's consider the actual derived metric issues with the new series de-dupe logic in ChartDerivedMetricsCalculator. Let me read the calculator file fully.
Tool Calls (1)
file_read
Show Details
{"file_path": "src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php"}
File: src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php (Total lines: 436)
IS_TRUNCATED: false
LINE_RANGE: 1-436
1|<?php
2|
3|namespace App\Service\PeopleAnalytics\Chart;
4|
5|/**
6| * Calcula métricas derivadas dos dados canonizados
7| * Todas as métricas numéricas são calculadas aqui para evitar que a IA invente números
8| */
9|class ChartDerivedMetricsCalculator
10|{
11|    /**
12|     * Calcula métricas derivadas baseado no canonical_shape
13|     * 
14|     * @param array $canonical Data canonizado
15|     * @param string $shape Tipo do canonical_shape
16|     * @return array Métricas calculadas
17|     */
18|    public function calculate(array $canonicalData, string $shape): array
19|    {
20|        $method = 'calculate' . ucfirst(str_replace('_', '', $shape)) . 'Metrics';
21|        
22|        if (!method_exists($this, $method)) {
23|            return [];
24|        }
25|        
26|        return $this->$method($canonicalData);
27|    }
28|
29|    /**
30|     * Calcula métricas para time_series
31|     */
32|    private function calculateTimeseriesMetrics(array $data): array
33|    {
34|        $metrics = [
35|            'total_periods' => count($data['labels'] ?? []),
36|            'series_metrics' => []
37|        ];
38|
39|        foreach ($data['datasets'] ?? [] as $dataset) {
40|            $values = array_filter($dataset['data'] ?? [], 'is_numeric');
41|            $seriesName = $dataset['name'] ?? $dataset['label'] ?? 'Série';
42|            if (isset($metrics['series_metrics'][$seriesName])) {
43|                $seriesName .= ' ' . (count($metrics['series_metrics']) + 1);
44|            }
45|
46|            if (empty($values)) {
47|                continue;
48|            }
49|
50|            $firstValue = reset($values);
51|            $lastValue = end($values);
52|
53|            $metrics['series_metrics'][$seriesName] = [
54|                'first_value' => $firstValue,
55|                'last_value' => $lastValue,
56|                'min_value' => min($values),
57|                'max_value' => max($values),
58|                'avg_value' => round(array_sum($values) / count($values), 2),
59|                'change_absolute' => $lastValue - $firstValue,
60|                'change_percent' => $firstValue != 0 ? round((($lastValue - $firstValue) / $firstValue) * 100, 2) : null,
61|                'total_points' => count($values)
62|            ];
63|
64|            // Tendência (simples: positiva, negativa, estável)
65|            $change = $lastValue - $firstValue;
66|            if (abs($change) < (abs($firstValue) * 0.05)) {
67|                $metrics['series_metrics'][$seriesName]['trend'] = 'estável';
68|            } elseif ($change > 0) {
69|                $metrics['series_metrics'][$seriesName]['trend'] = 'crescente';
70|            } else {
71|                $metrics['series_metrics'][$seriesName]['trend'] = 'decrescente';
72|            }
73|        }
74|
75|        return $metrics;
76|    }
77|
78|    /**
79|     * Calcula métricas para category_series
80|     */
81|    private function calculateCategoryseriesMetrics(array $data): array
82|    {
83|        $categories = $data['categories'] ?? [];
84|        $series = $data['series'] ?? [];
85|
86|        if (empty($series) || empty($categories)) {
87|            return [];
88|        }
89|
90|        // Extrair valores numéricos (podem ser diretos ou arrays com 'y')
91|        $allSeriesData = [];
92|        foreach ($series as $seriesItem) {
93|            $seriesData = $seriesItem['data'] ?? [];
94|            foreach ($seriesData as $value) {
95|                if (is_numeric($value)) {
96|                    $allSeriesData[] = $value;
97|                } elseif (is_array($value) && isset($value['y']) && is_numeric($value['y'])) {
98|                    $allSeriesData[] = $value['y'];
99|                }
100|            }
101|        }
102|
103|        // Pegar primeira série para análise (assumindo série principal)
104|        $mainSeries = $series[0];
105|        $rawValues = $mainSeries['data'] ?? [];
106|        
107|        // Normalizar valores (podem ser números diretos ou arrays com 'y')
108|        $values = [];
109|        foreach ($rawValues as $val) {
110|            if (is_numeric($val)) {
111|                $values[] = $val;
112|            } elseif (is_array($val) && isset($val['y']) && is_numeric($val['y'])) {
113|                $values[] = $val['y'];
114|            }
115|        }
116|
117|        if (empty($values)) {
118|            return [];
119|        }
120|
121|        $total = array_sum($values);
122|        $maxValue = max($values);
123|        $maxIndex = array_search($maxValue, $values);
124|        
125|        $minValue = min($values);
126|        $minIndex = array_search($minValue, $values);
127|
128|        $metrics = [
129|            'total_value' => $total,
130|            'category_count' => count($categories),
131|            'series_count' => count($series),
132|            'series_names' => array_map(fn($s) => $s['name'] ?? $s['label'] ?? 'Série', $series),
133|            'top_category' => $categories[$maxIndex] ?? null,
134|            'top_value' => $maxValue,
135|            'top_share' => $total > 0 ? round(($maxValue / $total) * 100, 2) : 0,
136|            'bottom_category' => $categories[$minIndex] ?? null,
137|            'bottom_value' => $minValue,
138|            'avg_value' => round($total / count($values), 2),
139|            'all_series_total' => !empty($allSeriesData) ? array_sum($allSeriesData) : $total
140|        ];
141|        
142|        // Adicionar totais por série
143|        $seriesBreakdown = [];
144|        foreach ($series as $seriesItem) {
145|            $seriesName = $seriesItem['name'] ?? $seriesItem['label'] ?? 'Série';
146|            if (isset($seriesBreakdown[$seriesName])) {
147|                $seriesName .= ' ' . (count($seriesBreakdown) + 1);
148|            }
149|            $seriesValues = [];
150|            foreach ($seriesItem['data'] ?? [] as $val) {
151|                if (is_numeric($val)) {
152|                    $seriesValues[] = $val;
153|                } elseif (is_array($val) && isset($val['y']) && is_numeric($val['y'])) {
154|                    $seriesValues[] = $val['y'];
155|                }
156|            }
157|            if (!empty($seriesValues)) {
158|                $seriesTotal = array_sum($seriesValues);
159|                $seriesBreakdown[$seriesName] = [
160|                    'total' => $seriesTotal,
161|                    'avg' => round($seriesTotal / count($seriesValues), 2),
162|                    'percentage' => !empty($allSeriesData) ? round(($seriesTotal / array_sum($allSeriesData)) * 100, 2) : 0
163|                ];
164|            }
165|        }
166|        $metrics['series_breakdown'] = $seriesBreakdown;
167|
168|        // Concentração: soma dos top 3
169|        arsort($values);
170|        $topThree = array_slice($values, 0, min(3, count($values)), true);
171|        $topThreeSum = array_sum($topThree);
172|        $metrics['top_3_concentration'] = $total > 0 ? round(($topThreeSum / $total) * 100, 2) : 0;
173|
174|        // Verificar se tem categoria "Não informado" ou similar
175|        foreach ($categories as $index => $category) {
176|            if (in_array(strtolower($category), ['não informado', 'desconhecido', 'outros', 'n/a', 'null'])) {
177|                $unknownValue = $values[$index] ?? 0;
178|                $metrics['unknown_count'] = $unknownValue;
179|                $metrics['unknown_share'] = $total > 0 ? round(($unknownValue / $total) * 100, 2) : 0;
180|                break;
181|            }
182|        }
183|
184|        return $metrics;
185|    }
186|
187|    /**
188|     * Calcula métricas para heatmap
189|     */
190|    private function calculateHeatmapMetrics(array $data): array
191|    {
192|        $xCategories = $data['xCategories'] ?? [];
193|        $yCategories = $data['yCategories'] ?? [];
194|        $cellData = $data['data'] ?? [];
195|
196|        if (empty($cellData)) {
197|            return [];
198|        }
199|
200|        $values = array_column($cellData, 'value');
201|        $values = array_filter($values, 'is_numeric');
202|
203|        if (empty($values)) {
204|            return [];
205|        }
206|
207|        $maxValue = max($values);
208|        $minValue = min($values);
209|
210|        // Encontrar células com valores máximo e mínimo
211|        $maxCell = null;
212|        $minCell = null;
213|
214|        foreach ($cellData as $cell) {
215|            if (isset($cell['value']) && $cell['value'] === $maxValue) {
216|                $maxCell = [
217|                    'x' => $xCategories[$cell['x']] ?? $cell['x'],
218|                    'y' => $yCategories[$cell['y']] ?? $cell['y'],
219|                    'value' => $maxValue
220|                ];
221|            }
222|            if (isset($cell['value']) && $cell['value'] === $minValue) {
223|                $minCell = [
224|                    'x' => $xCategories[$cell['x']] ?? $cell['x'],
225|                    'y' => $yCategories[$cell['y']] ?? $cell['y'],
226|                    'value' => $minValue
227|                ];
228|            }
229|        }
230|
231|        return [
232|            'total_cells' => count($cellData),
233|            'max_value' => $maxValue,
234|            'min_value' => $minValue,
235|            'avg_value' => round(array_sum($values) / count($values), 2),
236|            'best_cell' => $maxCell,
237|            'worst_cell' => $minCell,
238|            'x_categories_count' => count($xCategories),
239|            'y_categories_count' => count($yCategories)
240|        ];
241|    }
242|
243|    /**
244|     * Calcula métricas para boxplot
245|     */
246|    private function calculateBoxplotMetrics(array $data): array
247|    {
248|        $categories = $data['categories'] ?? [];
249|        $boxData = $data['data'] ?? [];
250|
251|        if (empty($boxData)) {
252|            return [];
253|        }
254|
255|        $medians = [];
256|        $iqrs = [];
257|
258|        foreach ($boxData as $index => $box) {
259|            if (isset($box['median'])) {
260|                $category = $categories[$index] ?? $box['label'] ?? "Categoria $index";
261|                $medians[$category] = $box['median'];
262|                
263|                if (isset($box['q1']) && isset($box['q3'])) {
264|                    $iqrs[$category] = $box['q3'] - $box['q1'];
265|                }
266|            }
267|        }
268|
269|        $metrics = [
270|            'group_count' => count($boxData),
271|            'medians' => $medians
272|        ];
273|
274|        if (!empty($medians)) {
275|            $highestMedian = max($medians);
276|            $lowestMedian = min($medians);
277|            
278|            $metrics['highest_median_group'] = array_search($highestMedian, $medians);
279|            $metrics['highest_median_value'] = $highestMedian;
280|            $metrics['lowest_median_group'] = array_search($lowestMedian, $medians);
281|            $metrics['lowest_median_value'] = $lowestMedian;
282|        }
283|
284|        if (!empty($iqrs)) {
285|            $metrics['dispersion'] = $iqrs;
286|            $highestIQR = max($iqrs);
287|            $metrics['most_dispersed_group'] = array_search($highestIQR, $iqrs);
288|            $metrics['most_dispersed_value'] = $highestIQR;
289|        }
290|
291|        return $metrics;
292|    }
293|
294|    /**
295|     * Calcula métricas para scatter
296|     */
297|    private function calculateScatterMetrics(array $data): array
298|    {
299|        $series = $data['series'] ?? [];
300|
301|        if (empty($series)) {
302|            return [];
303|        }
304|
305|        $allPoints = [];
306|        foreach ($series as $serie) {
307|            $allPoints = array_merge($allPoints, $serie['data'] ?? []);
308|        }
309|
310|        if (empty($allPoints)) {
311|            return [];
312|        }
313|
314|        // Calcular correlação simples
315|        $xValues = array_column($allPoints, 'x');
316|        $yValues = array_column($allPoints, 'y');
317|
318|        $correlation = $this->calculateCorrelation($xValues, $yValues);
319|
320|        return [
321|            'total_points' => count($allPoints),
322|            'series_count' => count($series),
323|            'correlation' => round($correlation, 3),
324|            'correlation_strength' => $this->interpretCorrelation($correlation)
325|        ];
326|    }
327|
328|    /**
329|     * Calcula métricas para funnel
330|     */
331|    private function calculateFunnelMetrics(array $data): array
332|    {
333|        $stages = $data['stages'] ?? [];
334|
335|        if (empty($stages)) {
336|            return [];
337|        }
338|
339|        $stageCounts = [];
340|        $conversionRates = [];
341|        $drops = [];
342|
343|        foreach ($stages as $index => $stage) {
344|            $stageCounts[$stage['name']] = $stage['value'];
345|
346|            if ($index > 0) {
347|                $previousValue = $stages[$index - 1]['value'];
348|                $currentValue = $stage['value'];
349|                
350|                $conversionRate = $previousValue > 0 
351|                    ? round(($currentValue / $previousValue) * 100, 2) 
352|                    : 0;
353|                
354|                $conversionRates[$stage['name']] = $conversionRate;
355|                $drops[$stage['name']] = $previousValue - $currentValue;
356|            }
357|        }
358|
359|        // Encontrar maior queda
360|        $biggestDrop = !empty($drops) ? max($drops) : 0;
361|        $biggestDropStage = !empty($drops) ? array_search($biggestDrop, $drops) : null;
362|
363|        // Taxa de conversão global (primeiro para último)
364|        $firstValue = $stages[0]['value'] ?? 0;
365|        $lastValue = $stages[count($stages) - 1]['value'] ?? 0;
366|        $overallConversion = $firstValue > 0 
367|            ? round(($lastValue / $firstValue) * 100, 2) 
368|            : 0;
369|
370|        return [
371|            'stage_count' => count($stages),
372|            'stage_counts' => $stageCounts,
373|            'conversion_rates' => $conversionRates,
374|            'drops' => $drops,
375|            'biggest_drop_stage' => $biggestDropStage,
376|            'biggest_drop_value' => $biggestDrop,
377|            'overall_conversion' => $overallConversion,
378|            'initial_volume' => $firstValue,
379|            'final_volume' => $lastValue
380|        ];
381|    }
382|
383|    /**
384|     * Calcula correlação de Pearson simples
385|     */
386|    private function calculateCorrelation(array $x, array $y): float
387|    {
388|        $n = count($x);
389|        
390|        if ($n === 0 || $n !== count($y)) {
391|            return 0;
392|        }
393|
394|        $sumX = array_sum($x);
395|        $sumY = array_sum($y);
396|        $sumXY = 0;
397|        $sumX2 = 0;
398|        $sumY2 = 0;
399|
400|        for ($i = 0; $i < $n; $i++) {
401|            $sumXY += $x[$i] * $y[$i];
402|            $sumX2 += $x[$i] * $x[$i];
403|            $sumY2 += $y[$i] * $y[$i];
404|        }
405|
406|        $numerator = ($n * $sumXY) - ($sumX * $sumY);
407|        $denominator = sqrt((($n * $sumX2) - ($sumX * $sumX)) * (($n * $sumY2) - ($sumY * $sumY)));
408|
409|        if ($denominator == 0) {
410|            return 0;
411|        }
412|
413|        return $numerator / $denominator;
414|    }
415|
416|    /**
417|     * Interpreta força da correlação
418|     */
419|    private function interpretCorrelation(float $r): string
420|    {
421|        $abs = abs($r);
422|        
423|        if ($abs >= 0.7) {
424|            return 'forte';
425|        } elseif ($abs >= 0.4) {
426|            return 'moderada';
427|        } elseif ($abs >= 0.2) {
428|            return 'fraca';
429|        } else {
430|            return 'muito fraca';
431|        }
432|    }
433|}
434|
435|
436|
Request #27 deepseek-v4-flash P:90.67K C:3.12K CR:86.02K CW:0 23692ms
Reasoning
Now regarding the derived metrics change. Let me analyze the dedupe logic: In `calculateTimeseriesMetrics`: ``` $seriesName = $dataset['name'] ?? $dataset['label'] ?? 'Série'; if (isset($metrics['series_metrics'][$seriesName])) { $seriesName .= ' ' . (count($metrics['series_metrics']) + 1); } if (empty($values)) { continue; } ... $metrics['series_metrics'][$seriesName] = [...]; ``` Bug: The dedupe check `isset($metrics['series_metrics'][$seriesName])` happens BEFORE `empty($values) continue`. If the first dataset has the same name and empty values (skipped via continue), the second dataset with the same name won't be flagged as duplicate because the first was never added. Not a huge issue. A subtle issue: two datasets named 'Série' both with values: first iteration seriesName='Série', not isset → added. Second: seriesName='Série' isset → append ' 1'? Actually count($metrics['series_metrics']) is 1 at that point, so appends ' 2'? Wait: `$seriesName .= ' ' . (count($metrics['series_metrics']) + 1);` count is 1, +1=2 → 'Série 2'. That's fine (names Série and Série 2). Slight inconsistency with indexes but OK. Note that the "if isset then append" test uses the appended key with count+1, but since appended key doesn't exist, no further collisions. Fine. Now in `calculateCategoryseriesMetrics`, series_names mapping line 132 changes to include 'label'. But it doesn't de-duplicate series_names (labels in series_names could be duplicated for the AI to see), minor. Actually wait — where did the bug about 'label' come in? Chart data for the member module's datasets use 'label' key rather than 'name'. In old code, `$dataset['name'] ?? 'Série'` would treat all datasets as 'Série' → but the keyed array would then overwrite each other! Actually no: `$metrics['series_metrics']['Série'] = [...]` overwritten by each dataset with name missing → only last dataset recorded. So the fix adds 'label'. Good fix. Now the dedupe logic: `if (isset($metrics['series_metrics'][$seriesName]))` - For a chart where two datasets legitimately share 'name' (e.g., two different units but same label), they get suffixed. Fine. Wait, there's a real bug though: In calculateTimeseriesMetrics, dedupe counts based on `$metrics['series_metrics']` which only includes series with non-empty values (since empty ones are skipped after). Suppose first dataset is empty (skipped), second has values but has the same name as the first — not a duplicate in the output (first wasn't stored), OK. Suppose first dataset has values, second dataset has the same name but empty values → second gets skipped, no issue. OK, minor. Now what about the numbering when there are 3 same names: 'Série', 'Série 2', then third: count is 2, appends ' 3' → 'Série 3'. Good. Hmm wait — dedupe check compares with the name that may already have suffix appended. Consider: first dataset named 'Série' → key 'Série'. Second dataset also 'Série' → since isset('Série') → append ' ' . (1+1) = 'Série 2'. OK. Consider datasets named 'Série' and 'Série 2' (pre-existing distinct labels)... second not duplicate. OK. This code is acceptable. Now to think of issue 6: `array_merge($this->chartMetadata($chartId), $chartData)` where chartMetadata keys are title/type, and $chartData may contain 'metadata' subarray etc. If chartData contains its own top-level 'title' or 'type' keys, array_merge with metadata as first arg means chartData keys overwrite metadata. So chart data's 'title'/'type' would override. Does chart data have 'title'/'type' keys? Let's check some member chart return values (getWorkloadVsProductivity returns labels/datasets/metadata — no title/type at top). getDeliveriesByProject? Probably similar. But the canonicalizer... let me check the ChartCanonicalizer to see how it reads data, and whether chartData top-level could already include 'title' or 'type'. The metadata merge aims to provide a title/type for charts whose data previously lacked them. If some chart data returns 'type', e.g. boxplot returns something? Let me quickly inspect other methods (getDeliveriesByProject etc.) return structures. But this is low severity; likely fine. Actually array_merge argument order: `array_merge($this->chartMetadata($chartId), $chartData)`. array_merge: later arguments overwrite earlier for string keys. So $chartData keys win. Metadata added first. If chartData has 'title', chartData's value wins — but then chartMetadata is useless for such a chart (would only matter if chartData lacks them). Not a bug per se. However, wait: array_merge with numeric keys reindexes; chart data arrays with numeric keys (e.g., 'datasets' array) fine. But there's a deeper concern: this is the service used by ChartResolver::resolve, which returns chart_data = the merged array. But MemberAnalysisController (the chart display endpoints) call getPerformanceLine etc. directly, not getChartData. So adding metadata at getChartData only affects AI flow. And getChartMetadata in resolver now picks up the title/type from chartData. Good. Now issue #6's real point: duplicated catalog of chart ids in getChartData match and chartMetadata match — future maintenance risk. It's a maintainability comment of low severity. Let's double check `MemberAnalysisService::getChartData` also used elsewhere? Maybe chart_detail AI flow uses the ChartResolver, and also `MemberAnalysisController`? No. Who else calls getChartData? Only ChartResolver. OK. Now the important issue with getChartData setting `$filters['membro'] = [(int) $memberId]`: This makes the member-specific filter apply to charts. In getPerformanceLine etc., this restricts data to that member. But careful: for `chart-linha-desempenho` → `getPerformanceLine`, the SQL filters `a.company_id = :companyId AND pt.id IS NOT NULL` plus `extraWhere` = ` AND cm.id IN (:membro_0)`? Wait, buildFilterClauses joins? For membro filter it adds `cm.id IN (...)` where clauses; but does the base SQL include an alias `cm`? In getPerformanceLine: `INNER JOIN company_members cm ON cm.id = td.member_id AND cm.company_id = :companyId`. Yes alias cm exists. Good. For `chart-scatter-prod-ausencia` (getProductivityVsAbsenceScatter) - need to check that the query includes cm alias. Probably. Now, for the KPI/other flow. OK. Now consider issue #5: multiple member_ids → silently picks first. In the MemberAnalysisService getChartData, if the payload had `membro` with several members (e.g., from a broader dashboard filter default), then normalized member_ids could have several; the normalizer picks first as member_id and getChartData also picks first. Meanwhile filters['membro'] kept? MemberAnalysisService sets filters['membro'] = [(int) memberId] overriding the original list (which was in normalized['membro']? Actually the normalizer maps 'membro' key → member_ids, and step 6 copies other unprocessed keys. The normalized filters after normalizer have member_ids (list), member_id (first). It does NOT have key 'membro' (mapped away). So MemberAnalysisService getChartData sees member_ids list & member_id. It overrides `filters['member_id']` and `filters['membro']`. But there's also `member_ids` still in filters; buildFilterClauses doesn't use member_ids (only 'membro'). OK. Also note: normalizer at step 6 copies unknown filters; but keys that are in keyMappings are excluded from copying. `membro` is now in keyMappings. So member key won't be preserved. Fine. But MemberAnalysisService line 51 reads `$filters['member_id'] ?? $filters['membro'] ?? null` — after normalizer, 'membro' won't exist. Unless a caller passes raw filters directly to getChartData (not normalized). In MemberAnalysisController? No, it doesn't call getChartData. Only resolver with normalized filters. So `$filters['membro']` at line 51 will rarely be set. Fine. Now let me consider the mismatch: getChartData requires member_id but only when `!$memberId` throws InvalidArgumentException. In the controller flow, if payload for analise_de_membro has no member at all, getChartData throws → resolver catches and rethrows as InvalidArgumentException "Gráfico não encontrado..." → service analyze catches and returns success:false? No, analyze returns success:false error. Actually resolver catches Exception from getChartData and logs error then throws InvalidArgumentException("Gráfico não encontrado ou erro ao buscar dados"). analyze catches \Exception, logs, returns ['success'=>false,'error'=>message]. Then controller returns JsonResponse($result, 500). So a user who simply clicks "Generate analysis" on a member page without member id in URL/filters gets a 500 "Gráfico não encontrado..." which is not a friendly 400. That was already true before the PR though? Previously same throw. Not new. Let me now evaluate the normalizer changes once more for an actual bug: ``` foreach (['memberId', 'company_member_id', 'companyMemberId', 'selected_member_id'] as $memberKey) { if (!isset($normalized['member_id']) && isset($filters[$memberKey]) && is_numeric($filters[$memberKey])) { $normalized['member_id'] = (int) $filters[$memberKey]; } } ``` `$filters` at this point has had `memberId` etc. not processed elsewhere, so they remain keys. If member_ids not present and member_id not present but 'membro' present in raw: mapped to member_ids at step 5 → member_id set in step after (lines 99-101). Wait order: keyMappings loop is lines 88-97 (sets member_ids), then lines 99-101 set member_id from member_ids, then loop 103-107. Good. But note: if raw has both `member_id` and `membro` with different values, member_id already set (int field from step 4), so `membro` mapping sets member_ids too, but member_id remains the int one. Different than the first member_ids element. MemberAnalysisService uses member_id. Whatever. Edge case: `membro` = array with 1 element string '123'... fine. Now template change issue #7 `var`. The instructions from user (issue #7) mention var vs let/const, but the user-specific rules say "Achado de estilo puro (nomenclatura, var/let, formatação) sem efeito real deve ser curto e de prioridade baixa — não ocupa o mesmo peso". Since template code around is ES5 style (uses var everywhere, function declarations, not const/let?), wait - the chart_detail script uses `var` everywhere in this block. Given the rest of the inline script is full of `var`, converting to let/const is inconsistent... Actually the System rules for JS say var is prohibited. But for Twig embedded JS old-style scripts full of var, we should not flag heavily. The issue list itself rates it low. Let me keep it as low or skip. Since the review plan suggests confirming scope before flagging and the surrounding script uses `var` everywhere, flagging var is a style nit with no real effect; the guidelines say pure style without real effect → short & low priority. It's optional. I might skip given bigger fish, or include as low. Now let's examine the produtividade dashboard JS contract — issue #4. The new shared bind in produtividade dashboard passes `selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]'`. But the DEFAULT_SELECTOR in the shared helper is '.pa-prod-analysis[data-analysis]', so override is used for produtividade. The panel classes: getOrCreatePanel uses card.closest('.pa-prod-card'). In old produtividade code, getAnalysisPanel used `[data-analysis="${key}"]` and closest('.pa-prod-card'). OK. The old produtividade `requestAnalysis` used `fetch`; the new helper uses jQuery `$.ajax`. Fine if jQuery loaded. `setButtonLoading` global function — is there a global `window.setButtonLoading`? Let's search. Wait, but this helper file is only loaded in produtividade_dashboard template. What about the module chart_detail page (analise_de_membro) which has its own inline AI code — not using the helper. So contract #4 concerns only produtividade dashboard usage, which is in this PR's other changed files. Let me check the whole produtividade-dashboard.js diff to ensure ANALYSIS_CHART_ID and `currentFilters`, and that getFilters returns currentFilters. And check that nothing else references the removed functions setAnalysisLoading / renderAnalysisList / renderAnalysisResult / requestAnalysis in produtividade-dashboard.js (i.e., leftover references). Let me search within that file for these removed identifiers.
Tool Calls (2)
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{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "setAnalysisLoading|renderAnalysisResult|renderAnalysisList|requestAnalysis|getAnalysisPanel"}
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{"search_text": "window.setButtonLoading|function setButtonLoading|setButtonLoading ="}
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Request #28 deepseek-v4-flash P:93.81K C:1.7K CR:93.7K CW:0 14351ms
Reasoning
There's no global `window.setButtonLoading` defined anywhere. So the shared helper's fallback branch is always used. That's fine. No leftover references to removed functions inside produtividade-dashboard.js. Good. Now what about the removal of `renderAnalysisResult` rendering `follow_up_questions`? Not relevant. One concern with the shared JS: the old produtividade flow called `renderAnalysisResult(key, json.ai_analysis)` and rendered 'Limitações' etc. The new shared helper's `renderAnalysis` is essentially the same markup. Fine. Another point: the new shared helper doesn't show any notification on error (only console + panel error). The old produtividade did `notify(err.message)`. Now errors are rendered in the panel only; if panel creation fails (button not inside .pa-prod-card), error message is silently dropped. Minor. Also there's a CSS class for the shared module: this is created within produtividade template; CSS for pa-prod-analysis-panel presumably exists. Now consider the `escapeHtml` in helper - good. Content from AI (server) is rendered with escapeHtml for strings, but renderList items too. However, list items like attention_points from the AI's `insufficientDataResponse` are static. For AI analysis response, data comes from AI with `**bold**` markdown perhaps? Old behavior identical. Fine. The URL building: `/people-analytics/api/${module}/chart/${chartId}/ai-analysis` matches the controller route. Good. Now, the panel: the old dashboard button is `.pa-prod-analysis[data-analysis]` inside `.pa-prod-card`. And the selector override `.pa-prod-dash .pa-prod-analysis[data-analysis]`. Let's confirm buttons in produtividade_dashboard template match `data-analysis` attr; this template isn't in the review group but is part of changed files. Not necessary to comment on produtividade (outside review group). Wait, the review group doesn't include produtividade-dashboard.js or produtividade_dashboard.html.twig (they are listed as "Other files changed"). The rules say: "Your comments must address code within <review_files> — never produce comments targeting files outside it." So any comments must target files in the review group: adriana-chart-analysis.js, PeopleAnalyticsApiController.php, ChartAiAnalysisService.php, ChartDerivedMetricsCalculator.php, ChartFilterNormalizer.php, ChartResolver.php, MemberAnalysisService.php, chart_detail.html.twig. So for issue #4 (JS contract), I can comment on the new shared JS only about assumptions (e.g., it references `.pa-prod-card`/`.pa-prod-analysis` selectors and a global `setButtonLoading` that doesn't exist elsewhere — but those are within the module code). Also the check `if (typeof window.setButtonLoading === 'function')` will always be false since there is no global function anywhere. That means the fallback code runs (fine). But there's a subtlety: the fallback restores the original label from dataset; that's okay. Hmm actually is there any real bug in the shared JS? Let me think about double-binding: bind iterates over matching buttons; sets dataset flag. When the dashboard filters change and DOM re-rendered? Buttons recreated → rebound. Fine. Potential bug: `getOrCreatePanel` uses `data-analysis-panel="${key}"` query and appends panel to `.pa-prod-card`. If the button isn't inside `.pa-prod-card` (e.g., a button outside the card, like in the header), panel is null, render silently no-ops, button loading stuck? It calls setButtonLoading(true), then request; after finish finally setButtonLoading(false). No stuck. Wait — if chartId missing: renderError(panel...) with panel possibly null → returns no visual feedback; button loading not set (loading set after chartId check), so button not stuck. OK. Now consider the deeper design: the helper always calls request with options.getFilters(); For member module, if bind is used with getFilters returning currentFilters without member... but member template doesn't use the helper. OK. Let me also validate that the `.finally` is supported in target browsers. Not worth flagging. Let me now consider the more concrete issues to comment on. Since a code_comment must point at newly added lines in the diff. Now for the resolver unsetting issue - is it truly a bug, or is it intentional and consistent with the controller? Let me carefully trace the actual runtime flow again: Case A: member module, raw payload contains `periodo` key (e.g. 'ultimo-mes'). - Controller normalize: normalizer step1 removes 'periodo' and sets start_date/end_date from resolvePeriodFilter. Also step2 might not overwrite if present. - Controller new condition: `!isset($rawFilters['periodo'])` is false → don't unset. Dates stay. - aiAnalysisService.analyze receives filters with start_date/end_date. Resolver: normalize again (dates already present, keep). Condition: `$filters['periodo']` unset (it was removed in controller), but start_date/end_date present → don't unset. Data restricted to resolved period. Good. Case B: raw payload has explicit start_date and end_date (no periodo), e.g. from a custom range picker or URL carrying dates, and the frontend's currentFilters has them. - Template (chart_detail): hasExplicitPeriod true → keep currentFilters' dates (assuming present). - Controller normalize: step2 sets dates from raw. New condition: `!isset($rawFilters['periodo'])` TRUE → unset dates! Bug: user's explicit date range dropped. - Resolver: no dates → normalize readds default 6 months; resolver condition: `$filters` (controller-normalized) no dates no periodo → unset → no dates at all. Result: AI sees full dataset without period filter, mismatching the chart that the user sees (restricted to their chosen dates). Or, wait — is the chart displayed restricted by the date? The chart detail data is fetched through the chart endpoint using same filter values from URL maybe. If the URL includes start/end dates and the data endpoint applies them, the displayed chart is within that date range, while AI analyzes all data → mismatch. Confirmed bug. But hold on: does the chart_detail data endpoint for member module actually apply those URL params? Possibly the page for member analysis shows data per charts fetched via the `MemberAnalysisController` endpoints which read start_date/end_date from query. The displayed chart could be for that period. Then AI mismatch. Real. Case C: raw payload contains nothing for dates (typical default) → controller drops, resolver drops → full dataset. Chart displayed is presumably full dataset (since member charts don't default date). Match. This is the main fix intended. So the bug is specifically Case B: the controller should mirror the resolver's condition and preserve explicit start_date/end_date. And the template should also propagate explicit dates (but it doesn't add them from URL anyway—but we don't comment on template since... we can comment on the template's member block as part of the divergence: template deletes only when URL lacks dates, but does not copy dates from URL into currentFilters; that means if currentFilters contains a default date set (from getCurrentFilters/autoFilters) while the URL has explicit dates, the dates sent are the defaults, not the URL ones. This could be the true cause of mismatch. Hmm but I'm speculating. Let me look at how the chart detail template/page builds the member analysis page and what URL carries. Let me search for routes/links to chart_detail with module=analise_de_membro to see query params used.
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{"search_text": "analise_de_membro"}
File: docs/engineering/pr/new_staging2/PR_arquivos_new_staging2.txt
Match lines: 2
994|A	public/images/people-analytics/analise_de_membro.png
1029|A	public/images/people-analytics/visao_geral/analise_de_membro.png

File: docs/engineering/pr/new_staging2/PR_impacto_new_staging2.txt
Match lines: 2
994| .../images/people-analytics/analise_de_membro.png  |  Bin 0 -> 556503 bytes
1029| .../visao_geral/analise_de_membro.png              |  Bin 0 -> 6068 bytes

File: migrations/Version20251218102947.php
Match lines: 1
44|        $this->write('   - Membros com permissão podem acessar: /people-analytics/analise_de_membro');

File: public/js/people-analytics/import/chart-import-handler.js
Match lines: 1
210|            // Adicionar query params da URL atual (ex: member_id para analise_de_membro)

File: public/js/people-analytics/modules/member-analysis-dashboard.js
Match lines: 1
578|            const detailLink = card.querySelector('a[href*="/people-analytics/analise_de_membro/chart/"]');

File: src/Controller/ChartImportController.php
Match lines: 4
36|        'analise_de_membro'
113|            // Mesclar com parâmetros da query string (ex: member_id para analise_de_membro)
200|            // Mesclar com parâmetros da query string (ex: member_id para analise_de_membro)
367|            // Pegar filtros da query string (ex: member_id para analise_de_membro)

File: src/Controller/PeopleAnalyticsApiController.php
Match lines: 2
89|                'analise_de_membro'
116|                $module === 'analise_de_membro'

File: src/Controller/PeopleAnalyticsController.php
Match lines: 5
33|    private const MEMBER_ONLY_MODULE = 'analise_de_membro';
77|    #[Route('/{module}', name: 'people_analytics_module', requirements: ['module' => 'saude_organizacional|atracao_retencao|produtividade|visao_geral_custos|diversidade_inclusao|engajamento|bem_estar_ausencia|analise_de_membro|feedback_organizacional'])]
130|        if ($module === 'analise_de_membro') {
224|        if ($module === 'analise_de_membro') {
649|                'image' => 'analise_de_membro.png',

File: src/Service/PeopleAnalytics/AbstractModuleMetadata.php
Match lines: 1
482|     * Retorna a chave única do módulo (ex: 'analise_de_membro')

File: src/Service/PeopleAnalytics/Chart/ChartResolver.php
Match lines: 2
42|            'analise_de_membro' => $memberAnalysisService,
73|            $module === 'analise_de_membro'

File: src/Service/PeopleAnalytics/Import/ChartDataImportService.php
Match lines: 1
643|            if ($module === 'analise_de_membro' && $this->memberAnalysisService) {

File: src/Service/PeopleAnalytics/Import/ExcelTemplateGeneratorService.php
Match lines: 1
224|                'analise_de_membro', 'produtividade' => $this->getAnalysisChartData($module, $chartId, $companyId, $filters),

File: src/Service/PeopleAnalytics/Metadata/MemberAnalysisMetadata.php
Match lines: 2
221|        return 'analise_de_membro';
229|            'image' => 'analise_de_membro.png',

File: templates/company/_member_analytics_tab.html.twig
Match lines: 3
114|<div class="zero-padding pa-module-detail" data-module="analise_de_membro" data-member-id="{{ member.id }}">
117|	     style="background-image: url('{{ asset('images/people-analytics/analise_de_membro.png') }}');">
176|							module: 'analise_de_membro',

File: templates/company/member_v2_figma.html.twig
Match lines: 1
719|                <a href="{{ path('people_analytics_module', {'module': 'analise_de_membro', 'member_id': member.id}) }}" 

File: templates/people_analytics/chart_detail.html.twig
Match lines: 7
18|			{% if module == 'analise_de_membro' and selected_member_id is defined and selected_member_id %}
238|{% if module == 'analise_de_membro' %}
329|		{% if module == 'analise_de_membro' and selected_member_id is defined and selected_member_id %},
334|	{% if module == 'analise_de_membro' %}
2623|		{% if module == 'analise_de_membro' %}
2985|				// Construir URL com query params da URL atual (ex: member_id para analise_de_membro)
3221|			{% if module == 'analise_de_membro' %}

File: templates/people_analytics/layout/_chart_card.html.twig
Match lines: 1
30|			{% if module == 'analise_de_membro' and selected_member_id is defined and selected_member_id %}

File: templates/people_analytics/module_detail.html.twig
Match lines: 9
105|			{% if module == 'analise_de_membro' and not is_member_permission %}
136|			{% if module == 'analise_de_membro' and show_member_select is defined and show_member_select %}
158|			{% if module == 'analise_de_membro' and selected_member_id and not is_member_permission %}
168|		<div class="pa-kpis-section" data-component="kpis-container" {% if module == 'analise_de_membro' %}style="display: none;"{% endif %}>
183|		{% if module == 'analise_de_membro' %}
197|		<div class="pa-charts-section" data-component="charts-container" {% if module == 'analise_de_membro' %}style="display: none;"{% endif %}>
269|{% if module == 'analise_de_membro' %}
424|{% if module == 'analise_de_membro' %}
448|		{% if module == 'analise_de_membro' %}

Request #29 deepseek-v4-flash P:97K C:196 CR:95.49K CW:0 2423ms
Reasoning
There's an important context: `PeopleAnalyticsController` has `MEMBER_ONLY_MODULE = 'analise_de_membro'` and line 130/224 check. Let me read that controller to understand the authorization at page level, especially the route for module detail and what `selected_member_id` and `is_member_permission` mean. Also the template references `selected_member_id`, `is_member_permission`. These probably gate member selection UI. Let me read relevant parts of PeopleAnalyticsController.
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{"file_path": "src/Controller/PeopleAnalyticsController.php", "start_line": 60, "end_line": 260}
File: src/Controller/PeopleAnalyticsController.php (Total lines: 799)
IS_TRUNCATED: false
LINE_RANGE: 60-260
60|        } 
61|
62|        $permissionContext = $this->paPermissionService->getPermissionContext();
63|        $overviewBadges = $this->getOverviewBadges();
64|
65|        return $this->render('people_analytics/index.html.twig', [
66|            'overviewBadges' => $overviewBadges,
67|            'overviewModules' => $this->getOverviewModules($permissionContext, $overviewBadges),
68|            'permissionContext' => $permissionContext,
69|            'canAccessProjectionTab' => $this->canAccessProjectionTab($permissionContext),
70|        ]);
71|    }
72|
73|    /**
74|     * Rota dinâmica para módulos de analytics
75|     * Exemplo: /people-analytics/saude_organizacional
76|     */
77|    #[Route('/{module}', name: 'people_analytics_module', requirements: ['module' => 'saude_organizacional|atracao_retencao|produtividade|visao_geral_custos|diversidade_inclusao|engajamento|bem_estar_ausencia|analise_de_membro|feedback_organizacional'])]
78|    public function module(Request $request, string $module): Response
79|    { 
80|        $user = $this->userContext->getUser();
81|        $company = $this->userContext->getCompany();
82|        $permissionContext = $this->paPermissionService->getPermissionContext();
83|        
84|        // SISTEMA DE PERMISSÕES PARA MEMBROS (Super Admin e Manager têm acesso total)
85|        if ($user && !$user->isManager() && !$user->isSuperAdmin()) {
86|            // Buscar o CompanyMember para verificar permissões
87|            $companyMemberRepo = $this->getDoctrine()->getRepository(\App\Entity\CompanyMembers::class);
88|            $companyMember = $companyMemberRepo->findOneBy([
89|                'user' => $user,
90|                'company' => $company,
91|                'enabled' => true
92|            ]);
93|            
94|            if (!$companyMember) {
95|                $this->addFlash('error', 'Você não tem permissão para acessar People Analytics.');
96|                return $this->redirectToRoute('member_home', ['company' => $company->getId()]);
97|            }
98|            
99|            // Verificar se o acesso está habilitado
100|            if (!$companyMember->getPeopleAnalyticsAccessMemberEnabled()) {
101|                $this->addFlash('error', 'Você não tem permissão para acessar People Analytics.');
102|                return $this->redirectToRoute('member_home', ['company' => $company->getId()]);
103|            }
104|            
105|            if ($this->isSelfScope($permissionContext) && $module !== self::MEMBER_ONLY_MODULE) {
106|                $this->addFlash('error', 'Você só pode acessar sua análise individual.');
107|                return $this->redirectToRoute('people_analytics_module', ['module' => self::MEMBER_ONLY_MODULE]);
108|            }
109|        }
110|
111|        // Verifica se o módulo existe
112|        if (!$this->metadataService->moduleExists($module)) {
113|            throw $this->createNotFoundException('Módulo não encontrado.');
114|        }
115|
116|        $moduleData = $this->metadataService->getModule($module);
117|        
118|        // Obter todos os filtros globais
119|        $allFilters = $this->metadataService->getGlobalFiltersWithDynamicOptions($module);
120|        
121|        // NOVO: Aplicar filtros de permissão
122|        $allFilters = $this->paPermissionService->filterAvailableFilters($allFilters);
123|        
124|        // Para o módulo "Análise do Membro", buscar lista de membros
125|        $members = [];
126|        $selectedMemberId = null;
127|        $showMemberSelect = true; // Por padrão, mostra o select
128|        $isMemberPermission = false; // Indica se é um membro com permissão tipo "Membro"
129|        
130|        if ($module === 'analise_de_membro') {
131|            if ($this->isSelfScope($permissionContext)) {
132|                $showMemberSelect = false;
133|                $isMemberPermission = true; // NOVO: Flag para ocultar outros elementos
134|                $selectedMemberId = $permissionContext['memberId'] ?? null;
135|
136|                // Validar se tentou acessar outro membro
137|                $requestedMemberId = $request->query->get('member_id');
138|                if ($requestedMemberId && !$this->paPermissionService->canViewMember((int) $requestedMemberId)) {
139|                    $this->addFlash('error', 'Você só pode visualizar sua própria análise.');
140|                    return $this->redirectToRoute('people_analytics_module', [
141|                        'module' => self::MEMBER_ONLY_MODULE,
142|                        'member_id' => $selectedMemberId
143|                    ]);
144|                }
145|            } else {
146|                // Escopos team/company
147|                $members = $this->paPermissionService->getAccessibleMembers();
148|                $selectedMemberId = $request->query->get('member_id');
149|            }
150|        }
151|        
152|        // Templates customizados por módulo (mantém toda a lógica de permissão acima)
153|        $customTemplates = [
154|            'produtividade'          => 'people_analytics/produtividade_dashboard.html.twig',
155|            'saude_organizacional'   => 'people_analytics/saude_organizacional_dashboard.html.twig',
156|            'atracao_retencao'       => 'people_analytics/attraction_retention_dashboard.html.twig',
157|            'visao_geral_custos'     => 'people_analytics/cost_analysis_dashboard.html.twig',
158|            'bem_estar_ausencia'     => 'people_analytics/well_being_absence_dashboard.html.twig',
159|            'diversidade_inclusao'   => 'people_analytics/diversity_inclusion_dashboard.html.twig',
160|            'feedback_organizacional'=> 'people_analytics/feedback_organizational_dashboard.html.twig',
161|            'engajamento'            => 'people_analytics/engagement_dashboard.html.twig',
162|        ];
163|        $template = $customTemplates[$module] ?? 'people_analytics/module_detail.html.twig';
164|        $saudeOrganizacionalApiBase = $module === 'saude_organizacional'
165|            ? preg_replace('#/kpis$#', '', $this->generateUrl('people_analytics_api_saude_organizacional_kpis'))
166|            : null;
167|
168|        return $this->render($template, [
169|            'module' => $module,
170|            'title' => $moduleData['title'],
171|            'subtitle' => $moduleData['subtitle'],
172|            'backgroundImage' => $moduleData['image'],
173|            'tooltip' => $moduleData['tooltip'],
174|            'kpis' => $this->metadataService->getKpisForModule($module),
175|            'charts' => $this->metadataService->getChartsForModule($module),
176|            'filters' => $allFilters,
177|            'members' => $members,
178|            'selected_member_id' => $selectedMemberId,
179|            'show_member_select' => $showMemberSelect ?? true, // NOVO: controla visibilidade do select
180|            'is_member_permission' => $isMemberPermission ?? false, // NOVO: Flag para membros tipo "Membro"
181|            'permissionContext' => $permissionContext, // NOVO
182|            'saudeOrganizacionalApiBase' => $saudeOrganizacionalApiBase,
183|        ]);
184|    }
185|
186|    /**
187|     * Página de detalhe de um gráfico específico
188|     * Exemplo: /people-analytics/saude_organizacional/chart/chart-evolucao-clima
189|     */
190|    #[Route('/{module}/chart/{chartId}', name: 'people_analytics_chart_detail')]
191|    public function chartDetail(Request $request, string $module, string $chartId): Response
192|    {
193|        // Verificar se o usuário tem permissão para visualizar o produto
194|        // if (!$this->permissionService->canViewProduct(self::PRODUCT_SLUG)) {
195|        //     $this->addFlash('error', 'Você não tem permissão para acessar People Analytics.');
196|        //     $company = $this->userContext->getCompany();
197|        //     return $this->redirectToRoute('member_home', ['company' => $company->getId()]);
198|        // }
199|
200|        // Verifica se o módulo existe
201|        if (!$this->metadataService->moduleExists($module)) {
202|            throw $this->createNotFoundException('Módulo não encontrado.');
203|        }
204|
205|        $moduleData = $this->metadataService->getModule($module);
206|        $chart = $this->metadataService->findChart($module, $chartId);
207|
208|        if (!$chart) {
209|            throw $this->createNotFoundException('Gráfico não encontrado.');
210|        }
211|
212|        // NOVO: Obter contexto de permissão
213|        $permissionContext = $this->paPermissionService->getPermissionContext();
214|
215|        // Busca descrição e filtros do gráfico (com opções dinâmicas)
216|        $description = $this->metadataService->getChartDescription($chartId);
217|        $filters = $this->metadataService->getFiltersForChartWithDynamicOptions($chartId);
218|        
219|        // NOVO: Aplicar filtros de permissão
220|        $filters = $this->paPermissionService->filterAvailableFilters($filters);
221|        
222|        // Para o módulo "Análise do Membro", capturar o member_id da query string
223|        $selectedMemberId = null;
224|        if ($module === 'analise_de_membro') {
225|            $selectedMemberId = $request->query->get('member_id');
226|        }
227|        
228|        return $this->render('people_analytics/chart_detail.html.twig', [
229|            'module' => $module,
230|            'moduleTitle' => $moduleData['title'],
231|            'chart' => $chart,
232|            'description' => $description,
233|            'filters' => $filters,
234|            'permissionContext' => $permissionContext, // NOVO
235|            'selected_member_id' => $selectedMemberId, // NOVO: para análise de membro
236|        ]);
237|    }
238|
239|    /**
240|     * Endpoint AJAX para obter dados de KPI
241|     * Exemplo: /people-analytics/api/kpis?module=atracao_retencao
242|     */
243|    #[Route('/api/kpis', name: 'people_analytics_api_kpis', methods: ['GET'])]
244|    public function getKpis(Request $request): Response
245|    {
246|        try {
247|            $module = $request->query->get('module');
248|            $filters = $request->query->all();
249|            
250|            // NOVO: Aplicar filtros de permissão ANTES de normalizar
251|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
252|            
253|            // Normalizar parâmetros
254|            $filters = $this->normalizeFilters($filters);
255|            
256|            // Adicionar company_id do contexto
257|            $company = $this->userContext->getCompany();
258|            if ($company) {
259|                $filters['company_id'] = $company->getId();
260|            }
Request #30 deepseek-v4-flash P:100.1K C:2.58K CR:97.15K CW:0 22877ms
Reasoning
Now this is crucial. The `module` route validates permissions at page level and for self-scope it only shows own analysis. But `chartDetail` route does NOT do a `canViewMember` validation even at page level for member module. It simply reads member_id from the query. The AJAX chart data endpoints in MemberAnalysisController apply `applyPermissionFilters`, which for self-scope users forces `membro` filter to their own member, and for team scope validates member belongs to the team (and removes the filter if invalid). So data endpoints remain safe. But the AI endpoint (PeopleAnalyticsApiController::chartAiAnalysis) does NOT apply `applyPermissionFilters` or `canViewMember`, and this PR newly: 1. Accepts a member id from any of a broad set of keys (`membro`, memberId, company_member_id, companyMemberId, selected_member_id, member_ids[0]) in normalizer, 2. Forces filtering by member in MemberAnalysisService (filters['membro'] = [memberId]), 3. The template adds URL param member_id to currentFilters for member analysis AI. So a user with self scope can POST directly to `/people-analytics/api/analise_de_membro/chart/chart-carga-produtividade/ai-analysis` with `{filters: {member_id: <any company member id>}}` and now get that member's individual productivity data sent to DeepSeek. Previously the AI endpoint for member charts would send company-wide data (because no membro filter) and the resolver required member_id; but the member_id wasn't used to restrict data — however, would the AI response be about the specific member? Since data was company-wide and title metadata, it would not leak a specific member's data. Actually hold on — this is speculative regarding "before" behavior. Let me think about what happened before precisely: Before the PR: - `MemberAnalysisService::getChartData` reads member_id and dispatches to chart methods. Chart methods ignore memberId and query at company scope (getPerformanceLine uses company aggregate; getWorkloadVsProductivity company aggregate). buildFilterClauses reads `filters['membro']`; but frontend's filters did not include `membro` key (only 'member_id'... where did member_id come from? Probably from selected member). Actually wait: before this PR the template chart_detail didn't add member_id to currentFilters; currentFilters came from getCurrentFilters + autoFilters. Hmm, but the AI code path in chart_detail existed for all modules (loadAiAnalysis). For member module, what was in currentFilters? Possibly selected member filter 'membro' from filter UI (data-filter-type="membro"). Then normalizer keyMappings: 'membro' wasn't mapped before → step 6 copies 'membro' as-is (array). Then MemberAnalysisService didn't need member_id...? Actually getChartData required member_id or membro? Before PR line 51 was `$memberId = $filters['member_id'] ?? null;`. So if only 'membro' present, throw. Unless the old filter key used was 'member_id' in the payload. Wait, maybe the actual produtividade dashboard and other dashboards send filters like {'membro':[123]}? These are 'data-filter-type="membro"' which is sent as `membro[]=123` in GET endpoints, and in the fetch filter data JSON they group as `{'membro': ['123']}`. The old normalizer didn't map 'membro' → so normalized retained 'membro' array. Then MemberAnalysisService::getChartData, if front sent member_id... unclear. The bug report says "gráficos com dados reais eram enviados à IA como vazios por problemas de filtros, member_id e métricas derivadas" and the fix makes member_id recognized from variations (including `membro`). So before the fix, the AI analysis for the member page either failed with missing member or returned company-wide data (not the member's), and after fix returns the selected member's data. Since the member module's whole point is "individual member analysis", the fixed behavior is correct for allowed scopes, but the server-side validation gap means scope restrictions (self/team) are not enforced on the AI endpoint. So the vulnerability claim holds: on the AI endpoint for analise_de_membro, member-level restrictions are not enforced server-side; only the page-level access controls and chart data endpoints enforce scope. And that page-level check occurs only in `module` route for self-scope; chart_detail route does not revalidate member (but it's a page that fetches via data endpoints that enforce). But the AI endpoint is directly accessible by any user who can reach People Analytics API routes at all (which is guarded maybe by firewalls) and it will happily analyze any member_id in the company — because the chart methods only scope by company (selected company), not by the calling user's allowed member scope. Given the PR is explicitly about analise_de_membro and normalizing member id from multiple keys + template adding it from URL, I'll flag that the new acceptance of the member id in the AI flow bypasses the permission service (applyPermissionFilters/canViewMember) used by the chart data endpoints, enabling cross-member analysis by scoped (self/team) users, including sending that member's data to an external LLM. Recommendation: apply same permission filters in the controller or validate canViewMember(member_id) server-side before analyzing; add tests. Where to comment: in the normalizer (line 99-107)? Or the controller? The best spot might be PeopleAnalyticsApiController where filters are normalized and forwarded; but the actual new behavior that enables the leak is spread between controller/resolver/normalizer. Since the controller is where authorization decisions should happen, and the diff is in the controller (new lines 108-120), I can comment there that member_id is accepted without server-side scope validation, unlike other endpoints that call applyPermissionFilters. But note the controller accepts any module; the proper fix belongs to controller or service. Now issue #3 revisited: Since checkPrivacy always returns allowed true, privacy not triggered; the new insufficient-data response will intercept what previously went to DeepSeek (which would return something). Actually wait, if privacy check always allowed, hasInsufficientData is new gate for empty data. Before, empty data would go to DeepSeek and DeepSeek would presumably return something like "dados insuficientes". Now returns the canned response, saving a call. That's intended per PR (avoid sending empty payloads). Since the PR is about member charts being reported empty — the canned response is precisely the desired UX. But there's an inconsistency: the check uses only `qualityFlags` (empty_data, missing_dimensions) and `empty($derivedMetrics)`. Consider member chart with real data but the canonicalizer mapped to a shape for which the metrics method returns [] (e.g., donut → category_series metrics exist, so not empty). OK. Also note the position: `hasInsufficientData` returns empty_data when canonical data empty. But wait — chart with categories and datasets where all values are 0: qualityFlags won't trigger empty_data (data not empty) and derivedMetrics not empty. AI still called with zeros — fine. I think the real thing worth flagging re insufficient data is more narrow: - It changes behavior for ALL modules/dashboards, not just analise_de_membro (which is the PR's scope). A chart that's legitimately empty in, e.g., saude_organizacional previously still asked the AI (maybe to produce guidance) — now it returns a canned response that references "colaborador", which is member-specific copy, and sets `ai_provider => null`. Also chart_detail template's renderAiAnalysis: does it handle the canned response fine? Yes, success true with ai_analysis. But produtividade/dashboard flow that previously showed notify error? Fine. Hmm, actually there's an important nuance: `missing_dimensions` flags for category_series occur when categories or series empty. But chart data for many modules may return e.g. bar chart with `labels` and `datasets` but canonical shape 'category_series'? The canonicalizer maps datasets with labels → categories & series. We'd have to trust canonicalizer. Fine. But there's a subtle correctness concern: time_series charts legitimately have labels & datasets with zero length when empty; that returns missing_dimensions. OK. Wait, but some chart types (donut/pie in member module 'chart-tempo-atividade-membro') map to 'donut' → canonical_shape 'category_series'. Chart data for that method returns... let me not dig too deep. Actually there's a real concern I want to verify: In the insufficient-data branch, `$resolved['chart_meta']['title']` for member charts now that chart metadata merged (title/type) will be the real title. But canonical_shape for the member charts: - chart-linha-desempenho type 'line' → time_series. - chart-carga-produtividade type 'line' → time_series. Its chart data: labels + datasets (arrays) — canonicalizer? OK. - chart-tempo-atividade-membro type 'donut'. Data shape for donut: getTimeByActivityType returns ['labels'=>..., 'data'=>...]? Let me check quickly to know whether the canonicalizer handles a single-series donut. In the file, at line ~937, the return earlier we saw getTimeByActivityType returns ['labels'=>..,'data'=>[...]] maybe also 'datasets'? The important thing: For the AI to have worked, the canonicalizer reads 'labels'+'datasets' for time_series and 'categories'+'series' for category_series. If getTimeByActivityType returns labels+data (not datasets/series), the canonicalizer must map. Let's read canonicalizer quickly for how it interprets. Actually, more importantly: hasInsufficientData might misfire for legit charts when shape mismatch yields no metrics. But that was pre-existing behavior in that data would go to the AI regardless. It's fine. OK given time constraints, let me now decide the final comment set. The review plan lists 7 issues; I should validate and comment on confirmed real ones. Let me prioritize: **Comment 1 (controller, high/medium):** divergent date-filter removal condition — explicit start_date/end_date sent by the front (sem periodo) are removed for analise_de_membro; resolver uses a different condition; result: AI analyzes a different period than the chart shown. This is concrete and within the diff. I'll comment on controller lines. But wait — is it a real possibility that the chart detail page (member) sends explicit start_date/end_date? It seems not typical because the member page doesn't include a date range picker; but `currentFilters` merge could include start/end defaults from other modules, or deep links from the module dashboard (member_v2_figma link uses member_id only). Let me look at template's currentFilters and how period filters are produced for member module. Let me read the chart detail template from line 2700-3423 to understand getCurrentFilters, the module member-specific scripts, and how the AI button on the member page obtains current filters. Since for the member module, filters UI 'periodo' might not exist in chart detail; but PeopleAnalyticsFilters.getCurrentFilters is not defined in that file... Let me check whether there's another script providing getCurrentFilters for the chart_detail page, and how it maps 'periodo' values. Let me read the remainder of chart_detail template around lines 2700-3200 and search "getCurrentFilters" within chart_detail template.
Tool Calls (1)
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Show Details
{"end_line": 3000, "file_path": "templates/people_analytics/chart_detail.html.twig", "start_line": 2700}
File: templates/people_analytics/chart_detail.html.twig (Total lines: 3423)
IS_TRUNCATED: false
LINE_RANGE: 2700-3000
2700|		
2701|		var html = '';
2702|		
2703|		// Título
2704|		if (analysis.title) {
2705|			html += '<h4 class="pa-ai-title">' + analysis.title + '</h4>';
2706|		}
2707|		
2708|		// Resumo
2709|		if (analysis.summary) {
2710|			html += '<div class="pa-ai-section">' +
2711|				'<p class="pa-ai-summary">' + analysis.summary + '</p>' +
2712|				'</div>';
2713|		}
2714|		
2715|	// Principais Insights
2716|	if (analysis.key_insights && analysis.key_insights.length > 0) {
2717|		html += '<div class="pa-ai-section">' +
2718|			'<h5 class="pa-ai-subtitle"><i class="fas fa-lightbulb"></i> Principais Insights</h5>' +
2719|			'<ul class="pa-ai-list">';
2720|		analysis.key_insights.forEach(function(insight) {
2721|			html += '<li>' + insight + '</li>';
2722|		});
2723|		html += '</ul></div>';
2724|	}
2725|	
2726|	// Análises Preditivas e Projeções
2727|	if (analysis.projections && analysis.projections.length > 0) {
2728|		html += '<div class="pa-ai-section pa-ai-section--projection">' +
2729|			'<h5 class="pa-ai-subtitle"><i class="fas fa-chart-line"></i> Análises Preditivas e Projeções</h5>' +
2730|			'<ul class="pa-ai-list pa-ai-list--projection">';
2731|		analysis.projections.forEach(function(projection) {
2732|			html += '<li>' + projection + '</li>';
2733|		});
2734|		html += '</ul></div>';
2735|	}
2736|	
2737|	// Pontos de Atenção
2738|		if (analysis.attention_points && analysis.attention_points.length > 0) {
2739|			html += '<div class="pa-ai-section">' +
2740|				'<h5 class="pa-ai-subtitle"><i class="fas fa-exclamation-circle"></i> Pontos de Atenção</h5>' +
2741|				'<ul class="pa-ai-list pa-ai-list--warning">';
2742|			analysis.attention_points.forEach(function(point) {
2743|				html += '<li>' + point + '</li>';
2744|			});
2745|			html += '</ul></div>';
2746|		}
2747|		
2748|		// Ações Recomendadas
2749|		if (analysis.recommended_actions && analysis.recommended_actions.length > 0) {
2750|			html += '<div class="pa-ai-section">' +
2751|				'<h5 class="pa-ai-subtitle"><i class="fas fa-tasks"></i> Ações Recomendadas</h5>' +
2752|				'<ul class="pa-ai-list pa-ai-list--actions">';
2753|			analysis.recommended_actions.forEach(function(action) {
2754|				html += '<li>' + action + '</li>';
2755|			});
2756|			html += '</ul></div>';
2757|		}
2758|		
2759|		// Perguntas de Acompanhamento
2760|		if (analysis.follow_up_questions && analysis.follow_up_questions.length > 0) {
2761|			html += '<div class="pa-ai-section">' +
2762|				'<h5 class="pa-ai-subtitle"><i class="fas fa-question-circle"></i> Próximas Perguntas</h5>' +
2763|				'<ul class="pa-ai-list pa-ai-list--questions">';
2764|			analysis.follow_up_questions.forEach(function(question) {
2765|				html += '<li>' + question + '</li>';
2766|			});
2767|			html += '</ul></div>';
2768|		}
2769|		
2770|		// Limitações
2771|		if (analysis.limitations && analysis.limitations.length > 0) {
2772|			html += '<div class="pa-ai-section pa-ai-section--muted">' +
2773|				'<h5 class="pa-ai-subtitle"><i class="fas fa-info-circle"></i> Limitações</h5>' +
2774|				'<ul class="pa-ai-list pa-ai-list--small">';
2775|			analysis.limitations.forEach(function(limitation) {
2776|				html += '<li>' + limitation + '</li>';
2777|			});
2778|			html += '</ul></div>';
2779|		}
2780|		
2781|		resultDiv.innerHTML = html;
2782|	}
2783|	
2784|	// Expor função globalmente para que chart-import-handler possa usá-la
2785|	window.renderAiAnalysis = renderAiAnalysis;
2786|
2787|	// ===================================
2788|	// INICIALIZA SISTEMA DE FILTROS
2789|	// ===================================
2790|	if (typeof window.PeopleAnalyticsFilters !== 'undefined') {
2791|		// Define o chartId ANTES de inicializar
2792|		window.PeopleAnalyticsFilters.setChartId('{{ chart.id }}');
2793|		window.PeopleAnalyticsFilters.init();
2794|		
2795|		console.log('[ChartDetail] Filtros inicializados para:', '{{ chart.id }}');
2796|	}
2797|
2798|	// ===================================
2799|	// MODAL IMPORTAR ARQUIVO - DRAG AND DROP
2800|	// ===================================
2801|	(function() {
2802|		var dropzone = document.getElementById('paImportDropzone');
2803|		var fileInput = document.getElementById('paImportFileInput');
2804|		var fileList = document.getElementById('paImportFileList');
2805|		var sendBtn = document.getElementById('paImportSendFilesBtn');
2806|		var selectedFiles = [];
2807|		
2808|		if (!dropzone || !fileInput || !fileList || !sendBtn) return;
2809|		
2810|		// Prevenir comportamento padrão de drag
2811|		['dragenter', 'dragover', 'dragleave', 'drop'].forEach(function(eventName) {
2812|			dropzone.addEventListener(eventName, preventDefaults, false);
2813|			document.body.addEventListener(eventName, preventDefaults, false);
2814|		});
2815|		
2816|		function preventDefaults(e) {
2817|			e.preventDefault();
2818|			e.stopPropagation();
2819|		}
2820|		
2821|		// Highlight dropzone quando arrastar arquivo
2822|		['dragenter', 'dragover'].forEach(function(eventName) {
2823|			dropzone.addEventListener(eventName, function() {
2824|				dropzone.classList.add('dragover');
2825|			}, false);
2826|		});
2827|		
2828|		['dragleave', 'drop'].forEach(function(eventName) {
2829|			dropzone.addEventListener(eventName, function() {
2830|				dropzone.classList.remove('dragover');
2831|			}, false);
2832|		});
2833|		
2834|		// Handle drop
2835|		dropzone.addEventListener('drop', function(e) {
2836|			var dt = e.dataTransfer;
2837|			var files = dt.files;
2838|			handleFiles(files);
2839|		}, false);
2840|		
2841|		// Handle click to select
2842|		fileInput.addEventListener('change', function(e) {
2843|			handleFiles(e.target.files);
2844|		});
2845|		
2846|		// Handle files
2847|		function handleFiles(files) {
2848|			files = Array.from(files);
2849|			files.forEach(addFile);
2850|			updateUI();
2851|		}
2852|		
2853|		// Add file to list
2854|		function addFile(file) {
2855|			// Verificar se já existe
2856|			var exists = selectedFiles.some(function(f) {
2857|				return f.name === file.name && f.size === file.size;
2858|			});
2859|			
2860|			if (!exists) {
2861|				selectedFiles.push(file);
2862|			}
2863|		}
2864|		
2865|		// Remove file
2866|		function removeFile(index) {
2867|			selectedFiles.splice(index, 1);
2868|			updateUI();
2869|		}
2870|		
2871|		// Update UI
2872|		function updateUI() {
2873|			if (selectedFiles.length === 0) {
2874|				fileList.classList.add('d-none');
2875|				dropzone.style.display = 'flex';
2876|				sendBtn.disabled = true;
2877|			} else {
2878|				fileList.classList.remove('d-none');
2879|				dropzone.style.display = 'none';
2880|				sendBtn.disabled = false;
2881|				renderFileList();
2882|			}
2883|		}
2884|		
2885|		// Render file list
2886|		function renderFileList() {
2887|			fileList.innerHTML = '';
2888|			
2889|			selectedFiles.forEach(function(file, index) {
2890|				var item = document.createElement('div');
2891|				item.className = 'fm-upload-item';
2892|				
2893|				var icon = document.createElement('i');
2894|				icon.className = 'fa-regular fa-file-lines';
2895|				icon.style.color = '#9CA3AF';
2896|				
2897|				var infoWrapper = document.createElement('div');
2898|				infoWrapper.style.flex = '1';
2899|				infoWrapper.style.minWidth = '0';
2900|				
2901|				var name = document.createElement('div');
2902|				name.style.fontWeight = '500';
2903|				name.style.fontSize = '14px';
2904|				name.style.color = '#1E1E1E';
2905|				name.style.whiteSpace = 'nowrap';
2906|				name.style.overflow = 'hidden';
2907|				name.style.textOverflow = 'ellipsis';
2908|				name.textContent = file.name;
2909|				
2910|				var size = document.createElement('div');
2911|				size.style.fontSize = '12px';
2912|				size.style.color = '#9CA3AF';
2913|				size.textContent = formatFileSize(file.size);
2914|				
2915|				infoWrapper.appendChild(name);
2916|				infoWrapper.appendChild(size);
2917|				
2918|				var removeBtn = document.createElement('button');
2919|				removeBtn.className = 'remove';
2920|				removeBtn.type = 'button';
2921|				removeBtn.innerHTML = '<i class="fas fa-times"></i>';
2922|				removeBtn.addEventListener('click', function() {
2923|					removeFile(index);
2924|				});
2925|				
2926|				item.appendChild(icon);
2927|				item.appendChild(infoWrapper);
2928|				item.appendChild(removeBtn);
2929|				
2930|				fileList.appendChild(item);
2931|			});
2932|		}
2933|		
2934|		// Format file size
2935|		function formatFileSize(bytes) {
2936|			if (bytes === 0) return '0 Bytes';
2937|			var k = 1024;
2938|			var sizes = ['Bytes', 'KB', 'MB', 'GB'];
2939|			var i = Math.floor(Math.log(bytes) / Math.log(k));
2940|			return Math.round(bytes / Math.pow(k, i) * 100) / 100 + ' ' + sizes[i];
2941|		}
2942|		
2943|		// NOTA: O envio de arquivos é gerenciado pelo ChartImportHandler
2944|		// O código antigo de sendBtn foi removido para evitar conflitos
2945|	})();
2946|
2947|	// ===================================
2948|	// CHART IMPORT HANDLER INITIALIZATION
2949|	// ===================================
2950|	(function() {
2951|		// Inicializar handler de importação
2952|		if (typeof window.ChartImportHandler !== 'undefined') {
2953|			window.ChartImportHandler.init(
2954|				'{{ module }}',
2955|				'{{ chart.id }}',
2956|				function(response) {
2957|					console.log('[ChartDetail] Import success callback', response);
2958|					
2959|					// Disparar evento para atualizar o gráfico
2960|					var event = new CustomEvent('peopleAnalyticsFilterUpdate', {
2961|						detail: {
2962|							chartId: '{{ chart.id }}',
2963|							data: response.data,
2964|							source: 'import'
2965|						}
2966|					});
2967|					document.dispatchEvent(event);
2968|				}
2969|			);
2970|			
2971|			console.log('[ChartDetail] Chart import handler initialized for {{ module }}/{{ chart.id }}');
2972|		}
2973|
2974|		// Download Template Button
2975|		const downloadTemplateBtn = document.getElementById('paImportDownloadTemplate');
2976|		if (downloadTemplateBtn) {
2977|			downloadTemplateBtn.addEventListener('click', function() {
2978|				const module = this.getAttribute('data-module');
2979|				const chartId = this.getAttribute('data-chart-id');
2980|				
2981|				// Desabilitar botão temporariamente
2982|				this.disabled = true;
2983|				this.innerHTML = '<i class="fa fa-spinner fa-spin me-1"></i> Gerando template...';
2984|				
2985|				// Construir URL com query params da URL atual (ex: member_id para analise_de_membro)
2986|				let url = `/people-analytics/api/${module}/chart/${chartId}/template`;
2987|				const urlParams = new URLSearchParams(window.location.search);
2988|				if (urlParams.toString()) {
2989|					url += '?' + urlParams.toString();
2990|				}
2991|				
2992|				console.log('[ChartDetail] Downloading template from:', url);
2993|				
2994|				fetch(url)
2995|					.then(response => {
2996|						if (!response.ok) {
2997|							throw new Error('Erro ao gerar template');
2998|						}
2999|						return response.blob();
3000|					})
Request #31 deepseek-v4-flash P:106.32K C:254 CR:102.66K CW:0 3031ms
Reasoning
OK, so in chart_detail, `getCurrentFilters` isn't defined in PeopleAnalyticsFilters; the template's `loadAiAnalysis` builds currentFilters from `PeopleAnalyticsFilters.getCurrentFilters()` if defined else {} — likely {} then. Then merges autoFilters from permission (which for self-scope contains membro, for team-scope gestor-equipe). Then the new block. Wait, hold on. For analise_de_membro the member is obtained from the chart page filters? Where does member_id come from for the member chart page in the filter context? The template at line ~3221 has member-specific code. Let me read around 3180-3300 to understand the member data loading for the module, and whether the selected member is stored in filters.
Tool Calls (1)
file_read
Show Details
{"end_line": 3423, "file_path": "templates/people_analytics/chart_detail.html.twig", "start_line": 3100}
File: templates/people_analytics/chart_detail.html.twig (Total lines: 3423)
IS_TRUNCATED: false
LINE_RANGE: 3100-3423
3100|
3101|			// Update file list display
3102|			function updateFileList() {
3103|				console.log('[ChartDetail] updateFileList called, files:', fileInput.files.length);
3104|				
3105|				if (fileInput.files.length === 0) {
3106|					// Esconder lista de arquivos
3107|					fileList.classList.add('d-none');
3108|					fileList.innerHTML = '';
3109|					
3110|					// Mostrar dropzone novamente
3111|					dropzone.style.display = 'flex';
3112|					
3113|					// Notificar handler que não há mais arquivos
3114|					if (window.ChartImportHandler) {
3115|						window.ChartImportHandler.updateFileList();
3116|					}
3117|					return;
3118|				}
3119|
3120|				// Esconder dropzone e mostrar lista
3121|				dropzone.style.display = 'none';
3122|				fileList.classList.remove('d-none');
3123|				fileList.innerHTML = '';
3124|
3125|				Array.from(fileInput.files).forEach(function(file, index) {
3126|					const item = document.createElement('div');
3127|					item.className = 'fm-upload-item';
3128|					item.innerHTML = `
3129|						<div class="fm-file-icon">
3130|							<i class="fa-solid fa-file-excel"></i>
3131|						</div>
3132|						<div class="fm-file-details">
3133|							<div class="fm-file-name">${file.name}</div>
3134|							<div class="fm-file-size">${formatFileSize(file.size)}</div>
3135|						</div>
3136|						<button type="button" class="fm-remove-file" data-index="${index}">
3137|							<i class="fa-solid fa-times"></i>
3138|						</button>
3139|					`;
3140|					
3141|					// Remove button
3142|					item.querySelector('.fm-remove-file').addEventListener('click', function(e) {
3143|						e.stopPropagation(); // Evitar que clique no botão trigger o dropzone
3144|						removeFile(index);
3145|					});
3146|					
3147|					fileList.appendChild(item);
3148|				});
3149|
3150|				// Notify handler that files changed
3151|				console.log('[ChartDetail] Notifying handler of file changes');
3152|				if (window.ChartImportHandler) {
3153|					window.ChartImportHandler.updateFileList();
3154|					console.log('[ChartDetail] Handler notified, files count:', fileInput.files.length);
3155|				} else {
3156|					console.error('[ChartDetail] ChartImportHandler not found!');
3157|				}
3158|			}
3159|
3160|			function removeFile(index) {
3161|				console.log('[ChartDetail] Removing file at index:', index);
3162|				const dt = new DataTransfer();
3163|				const files = fileInput.files;
3164|				
3165|				for (let i = 0; i < files.length; i++) {
3166|					if (i !== index) {
3167|						dt.items.add(files[i]);
3168|					}
3169|				}
3170|				
3171|				fileInput.files = dt.files;
3172|				console.log('[ChartDetail] Files after removal:', fileInput.files.length);
3173|				
3174|				// Atualizar lista visual
3175|				updateFileList();
3176|				
3177|				// Notificar handler que arquivos mudaram
3178|				if (window.ChartImportHandler) {
3179|					window.ChartImportHandler.updateFileList();
3180|					console.log('[ChartDetail] Handler notified after removal');
3181|				}
3182|			}
3183|
3184|			function formatFileSize(bytes) {
3185|				if (bytes === 0) return '0 Bytes';
3186|				const k = 1024;
3187|				const sizes = ['Bytes', 'KB', 'MB', 'GB'];
3188|				const i = Math.floor(Math.log(bytes) / Math.log(k));
3189|				return Math.round(bytes / Math.pow(k, i) * 100) / 100 + ' ' + sizes[i];
3190|			}
3191|		}
3192|	})();
3193|
3194|	// ===================================
3195|	// LISTENER PARA ATUALIZAÇÃO DO GRÁFICO
3196|	// ===================================
3197|	document.addEventListener('peopleAnalyticsFilterUpdate', function(event) {
3198|		var detail = event.detail;
3199|		
3200|		console.log('[ChartDetail] Event received:', {
3201|			eventChartId: detail.chartId,
3202|			currentChartId: '{{ chart.id }}',
3203|			source: detail.source,
3204|			hasData: !!detail.data,
3205|			module: '{{ module }}'
3206|		});
3207|		
3208|		// Verifica se é o gráfico desta página
3209|		if (detail.chartId !== '{{ chart.id }}') {
3210|			console.log('[ChartDetail] Event ignored - chart ID mismatch');
3211|			return;
3212|		}
3213|		
3214|		console.log('[ChartDetail] Atualizando gráfico:', {
3215|			source: detail.source,
3216|			data: detail.data
3217|		});
3218|		
3219|		// Se recebeu dados, re-renderiza o gráfico
3220|		if (detail.data) {
3221|			{% if module == 'analise_de_membro' %}
3222|			if (typeof window.PeopleAnalytics !== 'undefined' && window.PeopleAnalytics.updateMemberAnalysisChart) {
3223|				window.PeopleAnalytics.updateMemberAnalysisChart('{{ chart.id }}-detail', detail.data);
3224|			}
3225|			{% elseif module == 'produtividade' %}
3226|			// Atualiza gráfico de Produtividade com novos dados
3227|			var chartDetailContainer = '{{ chart.id }}-detail-container';
3228|			var chartHeight = chartConfig.height || 400;
3229|			
3230|			console.log('[Produtividade] Atualizando gráfico com dados:', detail.data);
3231|			
3232|			// Se vem de importação OU filtros, renderizar com os dados recebidos
3233|			if (typeof renderProdutividadeChart === 'function') {
3234|				renderProdutividadeChart(chartDetailContainer, detail.data, chartHeight);
3235|				console.log('[Produtividade] Gráfico atualizado com sucesso');
3236|			} else {
3237|				console.error('[Produtividade] Função renderProdutividadeChart não encontrada');
3238|			}
3239|			{% elseif module == 'diversidade_inclusao' %}
3240|			// Atualiza gráfico de D&I com novos dados filtrados
3241|			var chartDetailContainer = '{{ chart.id }}-detail-container';
3242|			var chartHeight = chartConfig.height || 400;
3243|			renderDiversidadeChart(chartDetailContainer, detail.data, chartHeight);
3244|			{% elseif module == 'bem_estar_ausencia' %}
3245|			// Atualiza gráfico de Bem-estar e Ausência com novos dados filtrados
3246|			var chartDetailContainer = '{{ chart.id }}-detail-container';
3247|			var chartHeight = chartConfig.height || 400;
3248|			renderBemEstarAusenciaChart(chartDetailContainer, detail.data, chartHeight);
3249|			{% elseif module == 'engajamento' %}
3250|			// Atualiza gráfico de Engajamento com novos dados filtrados
3251|			var chartDetailContainer = '{{ chart.id }}-detail-container';
3252|			var chartHeight = chartConfig.height || 400;
3253|			renderEngajamentoChart(chartDetailContainer, detail.data, chartHeight);
3254|			{% elseif module == 'saude_organizacional' %}
3255|			// Atualiza gráfico de Saúde Organizacional
3256|			var chartDetailContainer = '{{ chart.id }}-detail-container';
3257|			var chartHeight = chartConfig.height || 400;
3258|			
3259|			console.log('[SaudeOrganizacional] Atualizando gráfico:', {
3260|				chartId: '{{ chart.id }}',
3261|				source: detail.source,
3262|				hasData: !!detail.data,
3263|				dataType: detail.data ? detail.data.type : 'unknown'
3264|			});
3265|			
3266|			// Renderizar com os dados recebidos (import ou filter)
3267|			if (detail.data && typeof renderSaudeOrganizacionalChart === 'function') {
3268|				renderSaudeOrganizacionalChart(chartDetailContainer, detail.data, chartHeight);
3269|				console.log('[SaudeOrganizacional] Gráfico atualizado com sucesso:', '{{ chart.id }}');
3270|			} else if (typeof window.PeopleAnalytics !== 'undefined' && window.PeopleAnalytics.renderSaudeOrganizacionalChartWithFilters) {
3271|				// Fallback: Se vem de filtros, usar a função de filtros
3272|				window.PeopleAnalytics.renderSaudeOrganizacionalChartWithFilters(detail.chartId, detail.filters);
3273|				console.log('[SaudeOrganizacional] Gráfico atualizado com filtros (fallback)');
3274|			} else {
3275|				console.error('[SaudeOrganizacional] Nenhuma função de renderização disponível!');
3276|			}
3277|			{% elseif module == 'visao_geral_custos' %}
3278|			// Atualiza gráfico de Visão Geral de Custos com novos dados filtrados
3279|			var chartDetailContainer = '{{ chart.id }}-detail-container';
3280|			var chartHeight = chartConfig.height || 400;
3281|			renderVisaoGeralCustosChart(chartDetailContainer, detail.data, chartHeight);
3282|			console.log('[VisaoGeralCustos] Gráfico atualizado com filtros');
3283|			{% elseif module == 'atracao_retencao' %}
3284|			// Atualiza gráfico de Atração e Retenção com filtros aplicados
3285|			if (typeof window.PeopleAnalytics !== 'undefined' && window.PeopleAnalytics.renderAtracaoRetencaoChartWithFilters) {
3286|				// Usar os dados recebidos diretamente
3287|				var chartDetailContainer = '{{ chart.id }}-detail-container';
3288|				var chartHeight = chartConfig.height || 400;
3289|				console.log('[AtracaoRetencao] Atualizando gráfico com dados:', detail.data);
3290|				renderAtracaoRetencaoChart(chartDetailContainer, detail.data, chartHeight);
3291|				console.log('[AtracaoRetencao] Gráfico atualizado com filtros');
3292|			}
3293|			{% endif %}
3294|		}
3295|	});
3296|	
3297|	// ============================================
3298|	// WARN AO SAIR DA PÁGINA APÓS IMPORTAÇÃO
3299|	// ============================================
3300|	
3301|	// Variável para controlar ação pendente após confirmação
3302|	let pendingNavigationAction = null;
3303|	
3304|	// Função helper para mostrar modal de confirmação
3305|	function showLeavePageModal(onConfirm) {
3306|		pendingNavigationAction = onConfirm;
3307|		$('#paLeavePageWarningModal').modal('show');
3308|	}
3309|	
3310|	// Handler do botão "Sair mesmo assim"
3311|	document.getElementById('paConfirmLeaveBtn').addEventListener('click', function() {
3312|		$('#paLeavePageWarningModal').modal('hide');
3313|		if (pendingNavigationAction) {
3314|			window.ChartImportHandler.hasImportedData = false; // Desativar proteção
3315|			pendingNavigationAction(); // Executar ação (navegar, recarregar, etc)
3316|			pendingNavigationAction = null;
3317|		}
3318|	});
3319|	
3320|	// Limpar ação pendente ao fechar modal sem confirmar
3321|	$('#paLeavePageWarningModal').on('hidden.bs.modal', function() {
3322|		pendingNavigationAction = null;
3323|	});
3324|	
3325|	// 1. Interceptar fechamento/reload da aba (F5, Ctrl+W, etc)
3326|	window.addEventListener('beforeunload', function(e) {
3327|		if (window.ChartImportHandler && window.ChartImportHandler.hasImportedData) {
3328|			const message = 'Os arquivos carregados nesta análise não são salvos! Ao sair da página, todos os dados enviados serão descartados.';
3329|			e.preventDefault();
3330|			e.returnValue = message;
3331|			return message;
3332|		}
3333|	});
3334|	
3335|	// 2. Interceptar cliques em LINKS e navegação interna
3336|	document.addEventListener('click', function(e) {
3337|		// Verificar se há dados importados
3338|		if (!window.ChartImportHandler || !window.ChartImportHandler.hasImportedData) {
3339|			return; // Sem dados importados, permitir navegação normal
3340|		}
3341|		
3342|		// Buscar o elemento <a> mais próximo (pode estar dentro de um span, div, etc)
3343|		const link = e.target.closest('a');
3344|		
3345|		// Se não é um link, ignorar
3346|		if (!link) return;
3347|		
3348|		// Se o link abre em nova aba (_blank), permitir
3349|		if (link.target === '_blank') return;
3350|		
3351|		// Se é um link âncora na mesma página (#section), permitir
3352|		const href = link.getAttribute('href');
3353|		if (!href || href.startsWith('#')) return;
3354|		
3355|		// Se é um link de download, permitir
3356|		if (link.hasAttribute('download')) return;
3357|		
3358|		// Se é o link de "Importar" (não queremos bloquear ele), permitir
3359|		if (link.closest('.pa-import-modal') || link.id === 'paImportDownloadTemplate') return;
3360|		
3361|		console.log('[ChartDetail] Intercepting navigation to:', href);
3362|		
3363|		// BLOQUEAR navegação e mostrar modal de confirmação
3364|		e.preventDefault();
3365|		e.stopPropagation();
3366|		
3367|		// Mostrar modal customizado
3368|		showLeavePageModal(function() {
3369|			window.location.href = href;
3370|		});
3371|	}, true); // useCapture = true para interceptar antes de outros handlers
3372|	
3373|	// 3. Interceptar navegação pelos botões do navegador (Voltar/Avançar)
3374|	window.addEventListener('popstate', function(e) {
3375|		if (!window.ChartImportHandler || !window.ChartImportHandler.hasImportedData) {
3376|			return; // Sem dados importados, permitir navegação normal
3377|		}
3378|		
3379|		console.log('[ChartDetail] Intercepting browser back/forward navigation');
3380|		
3381|		// Prevenir navegação
3382|		e.preventDefault();
3383|		
3384|		// Mostrar modal customizado
3385|		showLeavePageModal(function() {
3386|			history.back();
3387|		});
3388|		
3389|		// Anular o back temporariamente (será executado de novo se usuário confirmar)
3390|		history.pushState(null, '', window.location.href);
3391|	});
3392|	
3393|	// Adicionar entrada no histórico para poder interceptar o back button
3394|	history.pushState(null, '', window.location.href);
3395|});
3396|</script>
3397|
3398|<!-- ============================================ -->
3399|<!-- MODAL: AVISO AO SAIR DA PÁGINA -->
3400|<!-- ============================================ -->
3401|<div class="modal fade" id="paLeavePageWarningModal" tabindex="-1" role="dialog" data-backdrop="static" data-keyboard="false">
3402|	<div class="modal-dialog modal-dialog-centered" role="document">
3403|		<div class="modal-content pa-leave-modal">
3404|			<div class="modal-body">
3405|				<h3 class="pa-leave-modal__title">Sair desta página?</h3>
3406|				<p class="pa-leave-modal__text">
3407|					Os arquivos carregados nesta análise não são salvos! Ao sair da página, todos os dados enviados serão descartados.
3408|				</p>
3409|			</div>
3410|			<div class="modal-footer pa-leave-modal__footer">
3411|				<button type="button" class="btn pa-leave-modal__btn pa-leave-modal__btn--cancel" data-dismiss="modal">
3412|					Cancelar
3413|				</button>
3414|				<button type="button" class="btn pa-leave-modal__btn pa-leave-modal__btn--leave" id="paConfirmLeaveBtn">
3415|					Sair mesmo assim
3416|				</button>
3417|			</div>
3418|		</div>
3419|	</div>
3420|</div>
3421|
3422|{% endblock %}
3423|
Request #32 deepseek-v4-flash P:110.94K C:177 CR:106.5K CW:0 2691ms
Reasoning
Let me now examine how the member page initially loads chart data — how does `currentFilters` come into being? For the member module chart_detail page, the top-level filters (`selected_member_id`) - the initial chart render calls the chart data endpoint with filters that include member from filter UI. Look at lines 238-340 region of the template for the module data setup. Let's read lines 230-360.
Tool Calls (1)
file_read
Show Details
{"end_line": 420, "file_path": "templates/people_analytics/chart_detail.html.twig", "start_line": 230}
File: templates/people_analytics/chart_detail.html.twig (Total lines: 3423)
IS_TRUNCATED: false
LINE_RANGE: 230-420
230|
231|{# Chart Import Handler #}
232|<script src="{{ asset('js/people-analytics/import/chart-import-handler.js') }}"></script>
233|
234|{# People Analytics JS Modules #}
235|<script src="{{ asset('js/people-analytics/chart-factory.js') }}"></script>
236|<script src="{{ asset('js/people-analytics/chart-detail-filters.js') }}"></script>
237|<script src="{{ asset('js/people-analytics/export-pdf.js') }}"></script>
238|{% if module == 'analise_de_membro' %}
239|<script src="{{ asset('js/people-analytics/member-analysis-charts.js') }}"></script>
240|{% endif %}
241|{% if module == 'diversidade_inclusao' %}
242|<script src="{{ asset('js/people-analytics/diversidade-inclusao-charts.js') }}"></script>
243|{% endif %}
244|{% if module == 'produtividade' %}
245|<script src="{{ asset('js/people-analytics/produtividade-detail-charts.js') }}"></script>
246|{% endif %}
247|{% if module == 'bem_estar_ausencia' %}
248|<script src="{{ asset('js/people-analytics/modules/bem-estar-ausencia-charts.js') }}"></script>
249|{% endif %}
250|{% if module == 'engajamento' %}
251|<script src="{{ asset('js/people-analytics/modules/engajamento-charts.js') }}"></script>
252|{% endif %}
253|{% if module == 'saude_organizacional' %}
254|<script src="{{ asset('js/people-analytics/saude-organizacional-detail-charts.js') }}"></script>
255|{% endif %}
256|{% if module == 'visao_geral_custos' %}
257|<script src="{{ asset('js/people-analytics/modules/visao-geral-custos-charts.js') }}"></script>
258|{% endif %}
259|{% if module == 'atracao_retencao' %}
260|<script src="{{ asset('js/people-analytics/atracao-retencao-detail-charts.js') }}"></script>
261|{% endif %}
262|
263|
264|<script>
265|/**
266| * Contexto de permissão do usuário atual
267| * Usado para aplicar filtros automáticos nas requisições
268| */
269|window.PeopleAnalyticsPermission = {
270|	role: {{ permissionContext.role }},
271|	roleName: '{{ permissionContext.roleName }}',
272|	memberId: {{ permissionContext.memberId ?? 'null' }},
273|	teamGroupId: {{ permissionContext.teamGroupId ?? 'null' }},
274|	canViewAll: {{ permissionContext.canViewAll ? 'true' : 'false' }},
275|	autoFilters: {{ permissionContext.autoFilters|json_encode|raw }}
276|};
277|
278|console.log('[Permission] Contexto carregado (Chart Detail):', window.PeopleAnalyticsPermission);
279|</script>
280|
281|<script>
282|document.addEventListener('DOMContentLoaded', function() {
283|	// ===================================
284|	// HIGHCHARTS GLOBAL CONFIG
285|	// ===================================
286|	Highcharts.setOptions({
287|		chart: {
288|			backgroundColor: '#FFFFFF',
289|			style: { fontFamily: "'Inter', sans-serif" }
290|		},
291|		colors: ['#17A2B8', '#129936', '#FD0A0A', '#6B7280', '#F59E0B', '#8B5CF6', '#EC4899', '#10B981'],
292|		title: { style: { fontSize: '14px', fontWeight: '500', color: '#1E1E1E' } },
293|		legend: {
294|			itemStyle: { fontSize: '11px', fontWeight: '400', color: '#6B7280' }
295|		},
296|		xAxis: {
297|			labels: { style: { fontSize: '11px', color: '#6B7280' } },
298|			lineColor: '#DFE3E6',
299|			tickColor: '#DFE3E6',
300|			gridLineColor: '#DFE3E6',
301|			gridLineDashStyle: 'Dot'
302|		},
303|		yAxis: {
304|			labels: { style: { fontSize: '11px', color: '#6B7280' } },
305|			gridLineColor: '#DFE3E6',
306|			gridLineDashStyle: 'Dot'
307|		},
308|		tooltip: {
309|			backgroundColor: '#FFFFFF',
310|			borderColor: '#DFE3E6',
311|			borderRadius: 4,
312|			style: { fontSize: '12px' }
313|		},
314|		credits: { enabled: false },
315|		exporting: { enabled: false }
316|	});
317|
318|	// ===================================
319|	// RENDER CHART
320|	// ===================================
321|	var container = document.getElementById('{{ chart.id }}-detail-container');
322|	var aspectRatio = 401 / 1192;
323|	var dynamicHeight = container ? Math.round(container.offsetWidth * aspectRatio) : 420;
324|	var chartConfig = {
325|		id: '{{ chart.id }}-detail',
326|		title: '{{ chart.title }}',
327|		chartType: '{{ chart.chartType }}',
328|		height: Math.max(360, Math.min(450, dynamicHeight))
329|		{% if module == 'analise_de_membro' and selected_member_id is defined and selected_member_id %},
330|		memberId: {{ selected_member_id }}
331|		{% endif %}
332|	};
333|
334|	{% if module == 'analise_de_membro' %}
335|		// Módulo Análise do Membro: usa API real
336|		if (typeof window.PeopleAnalytics !== 'undefined' && window.PeopleAnalytics.renderMemberAnalysisChart) {
337|			window.PeopleAnalytics.renderMemberAnalysisChart(chartConfig);
338|		}
339|	{% elseif module == 'produtividade' %}
340|		// Módulo Produtividade: usa API real
341|		if (typeof window.PeopleAnalytics !== 'undefined' && window.PeopleAnalytics.renderProdutividadeChart) {
342|			window.PeopleAnalytics.renderProdutividadeChart(chartConfig);
343|		}
344|	{% elseif module == 'diversidade_inclusao' %}
345|		// Módulo Diversidade & Inclusão: carrega gráfico específico via AJAX
346|		var chartId = '{{ chart.id }}';
347|		var chartDetailContainer = '{{ chart.id }}-detail-container';
348|		
349|		// Renderiza o gráfico individual
350|		if (typeof window.PeopleAnalytics !== 'undefined' && 
351|			typeof window.PeopleAnalytics.DiversidadeInclusao !== 'undefined') {
352|			
353|			// Faz requisição para obter os dados do gráfico
354|			var endpoint = '/people-analytics/api/diversidade/' + chartId.replace('chart-', '');
355|			
356|			fetch(endpoint, {
357|				method: 'GET',
358|				headers: {
359|					'Accept': 'application/json',
360|					'X-Requested-With': 'XMLHttpRequest'
361|				},
362|				credentials: 'same-origin'
363|			})
364|			.then(function(response) {
365|				if (!response.ok) throw new Error('Erro na requisição: ' + response.status);
366|				return response.json();
367|			})
368|			.then(function(result) {
369|				if (result.success && result.data) {
370|					// Renderiza o gráfico usando o mesmo sistema do diversidade-inclusao-charts.js
371|					renderDiversidadeChart(chartDetailContainer, result.data, chartConfig.height);
372|				} else {
373|					console.error('[D&I] Erro ao carregar dados:', result.error);
374|				}
375|			})
376|			.catch(function(error) {
377|				console.error('[D&I] Erro na requisição:', error);
378|			});
379|		}
380|	{% elseif module == 'bem_estar_ausencia' %}
381|		// Módulo Bem-estar e Ausência: carrega gráfico específico via AJAX
382|		var chartId = '{{ chart.id }}';
383|		var chartDetailContainer = '{{ chart.id }}-detail-container';
384|		
385|		// Renderiza o gráfico individual
386|		if (typeof window.PeopleAnalytics !== 'undefined' && 
387|			typeof window.PeopleAnalytics.BemEstarAusencia !== 'undefined') {
388|			
389|			// Faz requisição para obter os dados do gráfico
390|			var endpoint = '/people-analytics/api/bem-estar-ausencia/grafico/' + chartId;
391|			
392|			fetch(endpoint, {
393|				method: 'GET',
394|				headers: {
395|					'Accept': 'application/json',
396|					'X-Requested-With': 'XMLHttpRequest'
397|				},
398|				credentials: 'same-origin'
399|			})
400|			.then(function(response) {
401|				if (!response.ok) throw new Error('Erro na requisição: ' + response.status);
402|				return response.json();
403|			})
404|			.then(function(result) {
405|				if (result.success && result.data) {
406|					// Renderiza o gráfico usando ChartFactory
407|					renderBemEstarAusenciaChart(chartDetailContainer, result.data, chartConfig.height);
408|				} else {
409|					console.error('[Bem-estar] Erro ao carregar dados:', result.error);
410|				}
411|			})
412|			.catch(function(error) {
413|				console.error('[Bem-estar] Erro na requisição:', error);
414|			});
415|		}
416|	{% elseif module == 'engajamento' %}
417|		// Módulo Engajamento: carrega gráfico específico via AJAX
418|		var chartId = '{{ chart.id }}';
419|		var chartDetailContainer = '{{ chart.id }}-detail-container';
420|		
Request #33 deepseek-v4-flash P:113.63K C:2.89K CR:111.1K CW:0 26326ms
Reasoning
OK. For the member module, the chart renders via `window.PeopleAnalytics.renderMemberAnalysisChart(chartConfig)` — reads memberId from chartConfig, presumably calls member analysis endpoints. It might pass member id and maybe a default date period for the display charts (e.g., last 6 months). Let me quickly check member-analysis-charts.js to see whether chart data loads with a default period and how that would affect "the AI sees a different period than the chart". Actually, let's focus. I've gathered enough context. The main real issues I'll report (must be grounded and useful). Let me now decide precise final list: ### 1. Controller date filter removal diverges from resolver and can drop explicit user-selected dates (medium/high) Confirmed. The controller removes start_date/end_date whenever `periodo` is absent from the RAW payload; the resolver only removes when neither periodo nor start/end date present. If the caller (dashboard/URL link with explicit period for the member chart, or the template's `currentFilters` preserved because hasExplicitPeriod true) sends explicit dates without `periodo`, controller drops them — chart shows that period; AI analyzes full/unfiltered data. Additionally, even without that case, the three duplicated rules in template/controller/resolver use three different conditions, making future behavior divergent. Note that template, when URL has no period, removes dates; when URL has a period, it does not add the URL's dates into currentFilters. Actually, let me think again about template: it only removes when no explicit period; if the URL has explicit dates, it leaves whatever is in currentFilters — but currentFilters may have default dates from autoFilters (none for member: autoFilters for self scope = {'membro': memberId}; for team scope {'gestor-equipe': teamGroupId}; company scope {}). So currentFilters probably contains the member (added by template) plus any filters the user selected in the filter UI (membro selection?) — since the member select in the module (module_detail) uses filter UI with data-filter-type "membro". On a chart detail page (analise_de_membro), the URL has member_id. The page's filters UI may load with the selected member if filter set. But since getCurrentFilters isn't even defined in chart-detail-filters.js, currentFilters may always be {} except autoFilters and the new member_id. Hmm wait — if getCurrentFilters isn't defined, then `currentFilters` remains `{}` always (autoFilters merges: for member module self scope autoFilters = {membro: memberId} per permission service determineAutoFilters). Actually permissionContext.autoFilters for self-scope = {'membro': memberId}. So Object.assign makes currentFilters = {membro: memberId}. Then the member block: delete dates (none), and member_id from URL added → currentFilters = {membro: memberId, member_id: id}. Then payload → controller normalizer: 'membro'→ member_ids. member_id set int. Then getChartData memberId picked, filters membro set to [id]. Great — matches chart page? The chart page displayed data via the data endpoints with applyPermissionFilters, which force membro = self memberId for self scope. So AI data (filtered by member_id from URL) matches only if the URL member_id is the same as self (which the module route redirect ensures for self-scope at the module page). But wait: The chart_detail route does NOT enforce the redirect for self scope (only module route does). chartDetail at line 190-237 does not validate. But navigation from module page ensures link has the valid member_id. A user could still craft the URL directly `/people-analytics/analise_de_membro/chart/chart-carga-produtividade?member_id=OTHER`. Page loads chart for OTHER member? Chart data endpoint (MemberAnalysisController) applies permission filters: self-scope user would get forced membro = self (their own id), so chart shows their own data; but AI analysis endpoint would send member_id=OTHER → AI returns other member's data. So there is a mismatch: the user sees own chart, and AI describes another member. For team scope, data endpoint would remove invalid member filter (leaving team-wide data), but AI sends that other member's data if within the team (validateMemberBelongsToTeam passes when same team) — but that's allowed scope-wise (team member). For self-scope, sending member_id of someone else would return that person's data in AI while the visible chart is the user's own — leaking a colleague's data via the AI endpoint to a self-scoped user. So yes — concrete issue: server-side enforcement missing in AI endpoint. In PeopleAnalyticsApiController::chartAiAnalysis, after normalization and when module === analise_de_membro, must apply permission filters / canViewMember check, like MemberAnalysisController does. I'll comment on this in the controller's new lines (or in the resolver's new unset block, which is the new analise_de_membro-specific branch in the AI flow). I'll place comment in the controller because that's where permission check belongs, targeting the new member-block lines. But is the AI endpoint reachable by self-scope users at all (any firewall)? The PeopleAnalytics module route has page-level guards for non-managers requiring access flag; the API controller has no such guard. All PA API endpoints probably share a route security config. But it's still a server-side authorization gap in the AI endpoint, newly relevant for member data. Let me be fair about severity and framing: I'll rate high? The concern about cross-member data leak to an external LLM for self-scope or team-scope users is security-relevant. But it requires direct API crafting. I'd rate "high" given data of another member could be sent to an external AI service; but maybe this person is an HR who should be company-scope anyway. Given typical people analytics: HR admins have company scope. Managers have team scope (their team). Self scope only the own member. So the exploit path: self-scoped member requests analysis for another member_id. They must be authenticated and authorized to reach AI endpoint. It's plausible. I'll include it with high severity (security, authorization). Actually, let me double check that `canViewMember`/`applyPermissionFilters` not used anywhere in the AI path. PeopleAnalyticsApiController constructor has UserContext and Logger only. No paPermissionService injection. Confirmed. ### 2. ChartAiAnalysisService insufficient-data shortcut affects all modules/charts, with member-specific message; check placed after privacy but privacy is stub, so effectively new gate. Severity: medium. Scope: PR declares member analysis, but change is global for all dashboards. Also returns success:true with empty ai_analysis which many frontends render as "no data" — but wait, actually is there any consumer contract expecting ai_provider deepseek on success? The JS helper and template only need success + ai_analysis. OK. Actually, wait: There's a subtle bug — the `insufficientDataResponse` response includes `ai_provider => null`. But `renderAiAnalysis` in the chart detail checks `data.success && data.ai_analysis` — fine. However, the older flows may interpret ai_analysis.title/... fine. The real subtle bug: when empty_data is detected on a member module chart, the canned text "Verifique se o colaborador possui dados no período selecionado." is appropriate. But this path is global across all modules where e.g. for produtividade charts with no data the message will mention "colaborador possui dados no período" which may not fit but is harmless. But, bigger: does `hasInsufficientData` misfire for charts that return non-empty data but the canonicalizer sets labels but no datasets? We don't know. Skip. Also, since the check happens before DeepSeek call — this is probably good behavior. It's a behavior change but in-scope of the bugfix (avoid sending empty payloads). I'll consider reporting at low/medium that the guard is applied to ALL modules (escopo) and uses member-oriented copy — maybe not worth more than a low. Given "review rules: prioritize issues in newly added code; scope change outside PR" — it is a legitimate scope observation, since this PR is member-analysis-scoped but changes behavior of the whole AI pipeline. But it's arguably desired. I'll fold into a low/medium comment only if I keep it. Actually, wait. Let me reconsider the position of the new check relative to privacy: it's AFTER privacy check, but there is a different pre-existing specific response: `privacyFallbackResponse` is dead code (privacy always allowed). So no conflict. Now another aspect: With the new guard, an empty chart (e.g., a legitimately empty produtividade dashboard chart where the dashboard shows "Nenhum dado disponível") now returns the canned insufficient message without calling the LLM — previously, the DeepSeek call happened and could return "sem dados no período". Behavior differs, but the user already sees a friendly message. Not a real regression. I'll skip reporting issue #3, or include a lighter note? Actually there is a notable issue: **The member-specific texts are inside `insufficientDataResponse` which is invoked for every module** — copy is misleading outside the member module. Low. I'll mention as low maintainability/UX. ### 3. ChartResolver duplicate normalization causing the effective logic — resolved by earlier controller comment. ### 4. Template adds `member_id` from URL but if not present in filters and no period → deletes dates; but the resolver ALSO conditionally unsets based on raw filters that come from template; note also the template never copies URL period into currentFilters. But skip. Wait — there's one more thing in the template block worth flagging: For a team-scope user with `member_id` in the URL of a member of their team and no date period, they delete the dates and include member id — good. But then the member charts' data endpoints (applyPermissionFilters) allow the member only if it belongs to the team; if not belongs, member filter is removed server-side and team-wide data is shown. Then the AI returns an error/empty for that specific member; but display shows team data; mismatch again — but that's a server-enforcement nuance. Not needed. The template block also runs for the module page regardless of the chart page having permission context — but it's a template-level client thing. The real security enforcement should be server-side. I've decided the security comment goes on the controller. ### 5. Normalizer member derivation — issue #5: multiple member_ids → silent first; also non numeric member values. Concrete? If payload sends membro with several members (list), the normalizer picks the first silently, but the MemberAnalysisService also overrides filters to just that member. Wait — but this module is by definition an individual analysis of exactly one member; if front sends several members (e.g., because the chart_detail's currentFilters inherit a broader filter list with many member_ids from an underlying dashboard filter shared across modules...), the first gets selected with no warning. Could produce wrong member analysis. But is that a new scenario? This is an "análise individual" — intended exactly one member. The risk is low but real: silent selection of first member instead of error. Since getChartData always picks only one member even before (from member_id), and member_ids new path... I'd rate low/medium. Actually more concrete issue: with `member_ids` containing multiple IDs (e.g., from team filter "members" in a generic module context where this AI endpoint is reused), the server will silently analyze just the first — without failing — which could look correct but hide that the request wanted team data. In the context of member module, though, only one member is expected. This is by design of the module. Hmm. Better concrete point: If member_id is missing entirely, `getChartData` throws InvalidArgumentException → becomes HTTP 500 (via the analyze catch) not 400 with friendly message, so the new template AI button with no member_id in URL returns a server error 500 (message "Gráfico não encontrado ou erro ao buscar dados"). Wait — for chart_detail member page without member_id in URL (e.g., a company-scope HR admin opens the page and selects a member, but the AI filters only get member from the filter UI which is not being read because getCurrentFilters is missing) → AI request goes without member → 500 error. Hmm! Actually chart_detail member page requires member_id in URL typically. Let me check member-analysis-dashboard.js linking detail charts: it creates links `a[href*="/people-analytics/analise_de_membro/chart/"]` with URL that includes member_id? line 578 in member-analysis-dashboard.js. Let's read that region quickly to see how links are formed, since the AI flow relies on member_id in URL being present (per the new template code). If member selection happens on the module page (analise_de_membro module_detail) the links include member_id query param? Let me check the module_detail chart card link construction in member-analysis-dashboard.js.
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{"end_line": 640, "file_path": "public/js/people-analytics/modules/member-analysis-dashboard.js", "start_line": 500}
File: public/js/people-analytics/modules/member-analysis-dashboard.js (Total lines: 1122)
IS_TRUNCATED: false
LINE_RANGE: 500-640
500|            
501|            if (data.data && data.data.length > 0) {
502|                // Separar membro target dos demais
503|                // Backend já retorna x em percentual (50 = 50%), não multiplicar por 100
504|                teamData = data.data.filter(point => !point.is_target).map(point => ({
505|                    x: point.x,
506|                    y: point.y,
507|                    name: point.label
508|                }));
509|
510|                memberData = data.data.filter(point => point.is_target).map(point => ({
511|                    x: point.x,
512|                    y: point.y,
513|                    name: point.label
514|                }));
515|            }
516|
517|            Highcharts.chart(container, {
518|                chart: { type: 'scatter', zoomType: 'xy' },
519|                title: { text: null },
520|                xAxis: {
521|                    title: { text: 'Taxa de Ausência (%)' },
522|                    min: 0,
523|                    max: 100
524|                },
525|                yAxis: {
526|                    title: { text: 'Produtividade (Score)' },
527|                    min: 0,
528|                    max: 100
529|                },
530|                series: [{
531|                    name: 'Equipe',
532|                    data: teamData,
533|                    color: '#90CAF9',
534|                    marker: { radius: 5 }
535|                }, {
536|                    name: 'Você',
537|                    data: memberData,
538|                    color: '#FF5722',
539|                    marker: {
540|                        radius: 8,
541|                        symbol: 'diamond'
542|                    }
543|                }],
544|                credits: { enabled: false },
545|                legend: { enabled: true },
546|                tooltip: {
547|                    pointFormat: '{point.name}<br/>Ausência: {point.x:.1f}%<br/>Produtividade: {point.y:.1f}'
548|                }
549|            });
550|        }
551|    };
552|
553|    // ========================================
554|    // LOADING STATES - Gerenciamento de Estados
555|    // ========================================
556|
557|    function showLoading(chartId) {
558|        const container = getChartContainer(chartId);
559|        if (!container) return;
560|        
561|        container.innerHTML = '<div class="text-center py-5"><i class="fas fa-spinner fa-spin fa-2x text-info"></i></div>';
562|    }
563|
564|    function showError(chartId, message) {
565|        const container = getChartContainer(chartId);
566|        if (!container) return;
567|        
568|        container.innerHTML = `<div style="text-align: center; padding: 50px; color: #f44336;">Erro: ${message}</div>`;
569|    }
570|
571|    /**
572|     * Atualiza os links de detalhe dos gráficos com o member_id
573|     * @param {string|null} memberId - ID do membro selecionado ou null
574|     */
575|    function updateChartDetailLinks(memberId) {
576|        const chartCards = document.querySelectorAll('[data-chart-id]');
577|        chartCards.forEach(function(card) {
578|            const detailLink = card.querySelector('a[href*="/people-analytics/analise_de_membro/chart/"]');
579|            if (detailLink) {
580|                const currentHref = detailLink.getAttribute('href');
581|                // Remove qualquer member_id existente
582|                let newHref = currentHref.split('?')[0];
583|                // Adiciona o novo member_id
584|                if (memberId) {
585|                    newHref += '?member_id=' + memberId;
586|                }
587|                detailLink.setAttribute('href', newHref);
588|                console.log('[Member Analysis] Link de detalhe atualizado:', newHref);
589|            }
590|        });
591|    }
592|
593|    // ========================================
594|    // CHART LOADERS - Funções de Carregamento
595|    // ========================================
596|
597|    const ChartLoaders = {
598|        loadPerformanceLine: async function(chartId) {
599|            showLoading(chartId);
600|            try {
601|                const data = await API.getPerformanceLine();
602|                ChartRenderers.renderPerformanceLine(chartId, data);
603|            } catch (error) {
604|                showError(chartId, error.message);
605|            }
606|        },
607|
608|        loadWorkloadProductivity: async function(chartId) {
609|            showLoading(chartId);
610|            try {
611|                const data = await API.getWorkloadProductivity();
612|                ChartRenderers.renderWorkloadProductivity(chartId, data);
613|            } catch (error) {
614|                showError(chartId, error.message);
615|            }
616|        },
617|
618|        loadTimeByActivity: async function(chartId) {
619|            showLoading(chartId);
620|            try {
621|                const data = await API.getTimeByActivity();
622|                ChartRenderers.renderTimeByActivity(chartId, data);
623|            } catch (error) {
624|                showError(chartId, error.message);
625|            }
626|        },
627|
628|        loadDeliveriesByProject: async function(chartId) {
629|            showLoading(chartId);
630|            try {
631|                const data = await API.getDeliveriesByProject();
632|                ChartRenderers.renderDeliveriesByProject(chartId, data);
633|            } catch (error) {
634|                showError(chartId, error.message);
635|            }
636|        },
637|
638|        loadTeamBoxplot: async function(chartId) {
639|            showLoading(chartId);
640|            try {
Request #34 deepseek-v4-flash P:117.94K C:2.16K CR:116.48K CW:0 19304ms
Reasoning
OK, chart detail links include `?member_id=X`. The dashboard API calls for the member module pass through the module-level member selection. The whole flow: from module_detail page, member select updates links with member_id and dashboard charts are loaded with filters via the data endpoints that applyPermissionFilters. Now for the AI endpoint we've established the missing server-side member validation. This is my primary security comment. Now the date divergence. The template uses currentFilters that for member module chart detail includes 'membro' (self scope) or nothing + member_id. In module_detail the global dashboard charts load with `periodo`? The produtividade etc. have a period filter; the member module — module_detail (analise_de_membro) has its own member selector; charts load per member without period? Possibly with a default period? Actually getTimeByActivityType etc. don't have dates by default. The bug about empty: "gráficos com dados reais eram enviados à IA como vazios" — likely because the AI analysis previously included a default period (ultimo 6 months) applied by the normalizer (getDefaultDates), but the member dashboard chart displays the full history (no dates). So the AI saw last-6-months which may not match, or perhaps the member joined >6 months? Wait no, 6 months recent would have data if the member has data now... hmm. Actually wait — the issue was the reverse: The normalizer added start_date = now-6 months & end_date = now. If a member has older data (e.g., no recent activity), the AI would see empty data even though the chart (which shows full history) has data. So they drop the default dates to match the chart's full-history view. OK. Now, the deeper concern about date divergence happens when a chart detail page is visited with an explicit date selection via the module's period filter (chart detail page has filter UI with data-filter-type 'periodo'), e.g., a HR person picks "ultimo-mes" for the member chart. Then currentFilters = {'periodo': ['ultimo-mes'], 'member_id': X}. That goes to controller: rawFilters has periodo → controller does not unset → resolvePeriodFilter converts 'ultimo-mes'? Hmm the normalizer's resolvePeriodFilter supports only keys like 'ultimo_mes', 'last_month'... not 'ultimo-mes' (with hyphen) — wait MemberAnalysisService::resolvePeriodFilter supports 'ultimo-mes' (hyphen) but ChartFilterNormalizer::resolvePeriodFilter supports 'ultimo_mes' (underscore). Note the filter UI rawValue uses 'ultimo-mes' style? In chart-detail-filters.js, section titles use 'periodo', and the 'ultimo-mes' style values are the common convention from getFiltersAsQueryString with data-filter-value. And getActiveFilters returns e.g. {'periodo': ['ultimo-mes']}. ChartFilterNormalizer::resolvePeriodFilter would return null for 'ultimo-mes' (unknown) → returns null → no dates → default 6 months from getDefaultDates. Then controller unsets (no periodo left? Wait rawFilters['periodo'] isset TRUE (the raw payload had it). Controller condition uses rawFilters, so if raw payload had 'periodo' (e.g. 'ultimo-mes'), it won't unset; the normalized dates are default 6 months (because resolvePeriodFilter failed). So the AI request gets default dates. And the displayed chart also uses... whatever date filtering the data endpoint applies with periodo='ultimo-mes' → MemberAnalysisService's own resolvePeriodFilter supports hyphen variants → so the displayed chart is filtered to last month, whereas AI gets last 6 months (default). Mismatch! Hmm but this mismatch existed before the PR too for non-member modules — normalizer's inability to map hyphenated periods is pre-existing; not new. But what is new is the unsets. Not going to dig deeper. OK: my strongest, most defensible issues: **A. (alta, segurança) Endpoint de IA do módulo analise_de_membro passa a aceitar member_id de qualquer origem sem validação de escopo** — comment in PeopleAnalyticsApiController near the new member block (lines 115-120) OR in normalizer lines 99-107. Best in controller: after normalize, before forwarding, must validate with PeopleAnalyticsPermissionService like the data endpoints. I'll anchor to the new added code lines in the controller. Wait, the controller added lines are only the date-unset block; but that block shows new member-module-specific handling, a natural anchor to say "se você já trata member module aqui, aplique também a validação de permissão de membro". Acceptable. **B. (alta/média) Condição de remoção de datas divergente entre controller e resolver** — comment in the controller at lines 115-120: the condition drops explicit start/end date even when user explicitly sent them (no periodo), while the resolver preserves them. Also inconsistent with template logic which preserves dates when the URL has explicit start/end. Result: analysis may not match the chart period. Fix: mirror resolver condition (check absence of periodo AND start_date AND end_date), better: centralize the rule in one place. Let me put comment B anchored at the controller's new if block (same lines). Two comments on overlapping lines may be okay if different content? Actually multiple comments in one file should anchor to different lines to avoid confusion. I can anchor A at controller lines 108-120 and B at resolver lines 72-79. Let's anchor A to controller (the date-unset block is between lines 115-120 in the new file — those are newly added lines `if ($module === 'analise_de_membro' && !isset($rawFilters['periodo'])) { unset(...); }`). I'll anchor B to resolver block (its own lines 72-79). Hmm, but actually the more severe issue is A (authorization). Where else can anchor A? In the ChartFilterNormalizer (lines 99-107 new member_id derivation) — those lines are the new acceptance of arbitrary member id. That's a good anchor for the authorization concern because normalizer now normalizes `member_id` from arbitrary sources. But the actual missing validation is upstream. Alternatively, I can comment on the controller lines that accept `$rawFilters`/normalized filters. Better: keep A in the controller (module-specific logic was added there) and B in the resolver. And add separate lower-level note in normalizer? The number of comments should be proportionate. **C. (média) Multi-membro: escolha silenciosa do primeiro + erro 500 para requisição sem membro** — The normalizer silently picks the first member when several member_ids/membros are sent; getChartData overwrites `filters['membro']` and returns only that member's data without error; if no member at all, the user gets HTTP 500 (because getChartData throws and analyze returns success false → controller responds 500) with confusing message "Gráfico não encontrado..." — instead of a 400. Newly, the member_id derivations increase likelihood of such mismatches? Actually this 500 for missing member existed pre-PR. But the new template flow adds member_id from URL; if a member chart page is opened without member_id (e.g., company-scope user navigates directly to a chart URL without member_id, common when browsing from a module listing without member selection or from imported links), the AI button returns 500. Previously (before PR) also missing member_id → 500. Hmm the chart_detail AI code path previously existed too. So 500 issue pre-existing. Given the requirement to focus on new code issues, the "multiple members silently pick first" is newly added: normalizer now maps `membro`→ member_ids and then picks first; and getChartData also does `reset($filters['member_ids'])` and overrides membro with first only. So if a request (e.g., coming from module filters carrying a multi-member selection, or a company dashboard with members filter) hits the member module AI, it silently analyzes only the first member. I'd comment as low/medium maintainability/correctness on normalizer lines 99-101. **D. (baixa) var in template** — style nit; the surrounding script uses `var` heavily, so flagging is low value. Skip? The user rules permit style short/low. Issue list includes it. But given "favor precision over recall" and the fact the template is an ES5 legacy inline block using var throughout, this is pure style with no real effect and inconsistent to flag here while ignoring the rest of file. I'd skip D. **E. (baixa/média) duplicated chart catalogs (match) in MemberAnalysisService; array_merge may overwrite metadata** — maintainability. Also, more important subtle point: `array_merge($this->chartMetadata($chartId), $chartData)`: the resolver's getChartMetadata reads `$chartData['title']`/`['type']`, which is fine. But if a chart's data includes a top-level 'type' key (some chart data returns `'type' => 'bar'`?), merge order places chartData later, meaning data's type wins — then metadata 'type' may mismatch the declared canonical shape. Let me check whether any chart data returns top-level 'type'. E.g., scatter/productivity may return type 'scatter'? Let's inspect the tail of MemberAnalysisService return arrays for 'type' or 'title' keys at top-level, quickly searching for "=> 'scatter'" and `'type' =>` in the file.
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{"file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"], "search_text": "'type' =>|'title' =>"}
No matches found
Request #35 deepseek-v4-flash P:120.12K C:124 CR:120.06K CW:0 2261ms
Reasoning
Search with different quote style? Let's search for "type" as an array key with single quotes and spaces. Maybe the searches fail because array keys are double quoted or unquoted? Let me grep '=>' occurrences with type.
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{"file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"], "search_text": "type"}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php
Match lines: 51
65|            'chart-tempo-atividade-membro' => $this->getTimeByActivityType($memberId, $filters),
79|            'chart-linha-desempenho' => ['title' => 'Linha de Desempenho', 'type' => 'line'],
80|            'chart-carga-produtividade' => ['title' => 'Carga de Trabalho vs Produtividade', 'type' => 'line'],
81|            'chart-tempo-atividade-membro' => ['title' => 'Tempo por Tipo de Atividade', 'type' => 'donut'],
82|            'chart-entregas-projeto' => ['title' => 'Entregas por Projeto', 'type' => 'bar'],
83|            'chart-boxplot-equipe-membro' => ['title' => 'Produtividade da Equipe com Membro Destacado', 'type' => 'boxplot'],
84|            'chart-ranking-produtividade' => ['title' => 'Ranking de Produtividade', 'type' => 'bar'],
85|            'chart-scatter-prod-ausencia' => ['title' => 'Produtividade vs Ausência', 'type' => 'scatter'],
86|            default => ['title' => 'Análise Individual', 'type' => 'unknown'],
535|        // Filtro: tipo-ausencia (hit_the_spot.justification_type + pay_off_absence/license)
864|                    'type' => 'bar',
871|                    'type' => 'line',
918|    public function getTimeByActivityType(int $memberId, array $filters = []): array
942|                ) AS activity_type,
968|            GROUP BY activity_type
985|            $labels[] = $row['activity_type'];
1538|     * - Conta apenas hit_the_spot_time com type='first_check_in' e status='ausente'
1540|     * - Pode filtrar por tipo de ausência (justification_type)
1559|     * @param array $filters Filtros ['tipo-ausencia' => [types], 'turno' => [ids], ...]
1581|        // Filtra diretamente pelo campo hit_the_spot.justification_type
1587|                    $placeholders[] = 'hs.justification_type IS NULL';
1590|                    $placeholders[] = 'hs.justification_type = :' . $key;
1655|                            WHEN hst.type = 'first_check_in'
1671|                  AND hst.type = 'first_check_in'
1780|        $productivityKpi = $this->getProductivityPeriodKpi($companyId, $filters);
1827|        $productivityKpi = $this->getProductivityPeriodKpi($companyId, $filters);
1868|    private function getProductivityPeriodKpi(int $companyId, array $filters = []): array
2021|        $trendType = $diff > 0 ? 'positive' : ($diff < 0 ? 'negative' : 'neutral');
2028|            'trendType' => $trendType
2058|                'trendType' => 'neutral',
2069|        $trendType = $diff > 0 ? 'positive' : ($diff < 0 ? 'negative' : 'neutral');
2076|            'trendType' => $trendType,
2339|        $trendType = $diff > 0 ? 'positive' : ($diff < 0 ? 'negative' : 'neutral');
2346|            'trendType' => $trendType
2488|        $trendType = 'neutral'; // Horas podem ser neutras
2495|            'trendType' => $trendType
2503|     * - type = 'first_check_in'
2505|     * - justification_type IS NULL ou NOT IN ('reason', 'license')
2587|              AND hst.type = 'first_check_in'
2589|              AND (hs.justification_type IS NULL 
2590|                   OR hs.justification_type NOT IN ('reason', 'license'))
2605|              AND hst.type = 'first_check_in'
2607|              AND (hs.justification_type IS NULL 
2608|                   OR hs.justification_type NOT IN ('reason', 'license'))
2630|        $trendType = $diff < 0 ? 'positive' : ($diff > 0 ? 'negative' : 'neutral');
2637|            'trendType' => $trendType
2668|                'trendType' => 'neutral'
2673|        $trendType = $diff > 0 ? 'positive' : ($diff < 0 ? 'negative' : 'neutral');
2680|            'trendType' => $trendType
2787|                AND hst.type = 'first_check_in'
2789|                AND (hs.justification_type IS NULL OR hs.justification_type NOT IN ('reason', 'license'))

Request #36 deepseek-v4-flash P:121.38K C:614 CR:120.19K CW:0 6469ms
Reasoning
Top-level 'type'/'title' keys are not in chart data returns (only nested in dataset 'type' => 'bar'). So the array_merge won't cause actual key collisions currently. The duplicated catalog maintainability issue (#6) stands as a low. Given this, I'll finalize the comment set. Given the size of this review, and time constraints, let me be careful about which to include: 1. **HIGH — controller: date-removal divergence (dropping explicit start_date/end_date)** (PeopleAnalyticsApiController new lines). Actually, is this truly high? Think again: for the member module, who sends start_date/end_date explicitly? Template's member block: if URL has start_date/end_date then hasExplicitPeriod=true → does not delete dates from currentFilters, but currentFilters never gets start/end dates unless getCurrentFilters() provides them... getCurrentFilters isn't defined in chart-detail-filters.js, so where would currentFilters have dates? Possibly from `PeopleAnalyticsFilters.getCurrentFilters`? It's guarded and not defined → {} (in the JS in chart_detail, currentFilters = {} initially). So in this template the only way dates get in is from `autoFilters` (permission) — permission autoFilters don't include dates. So on the member chart_detail page the payload would have no dates anyway; the controller's unset would just remove nothing (since normalizer added default dates though! yes normalizer adds default last-6-months which controller then removes). So for the chart_detail flow dates are never explicitly sent → the controller unset removes only the normalizer-injected defaults. That's intended. But other consumers of this AI endpoint for module analise_de_membro: Is the module used elsewhere? The `analise_de_membro` AI could be triggered from the member profile "Adriana" button? Actually check the produtividade dashboard... no, module is produtividade. The shared helper allows any module. The `_member_analytics_tab.html.twig` references module 'analise_de_membro' and PeopleAnalyticsFilters with modalId 'modal-global-filters'... let's look at that template (member analytics tab, in company member page). It may build AI requests for member module from the member profile page with member_id + possibly start/end from the global filters. This is the member profile's analytics tab, which selects charts and generates AI analysis? Might use endpoint chart-detail? Let me peek at that template around where it may call the AI endpoint. Actually I already spent a lot; but to determine severity for controller bug, knowing real caller matters. Let me quickly search for "ai-analysis" usages across templates/js.
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{"search_text": "ai-analysis"}
File: docs/engineering/pr/homolog/PR_commits_homolog.txt
Match lines: 4
10471|df625e7273 Merge remote-tracking branch 'origin/feature/ai-analysis-assessment360' into assessment360_avaliacao_externa
10661|1f1abfd97e Merge branch 'feature/ai-analysis-assessment360' of https://bitbucket.org/meta_human/metahuman into feature/ai-analysis-assessment360
11183|7b0ca09a72 Merge branch 'feature/ai-analysis-assessment360' into assessment360_avaliacao_externa
11224|5314daf008 Merge branch 'feature/ai-analysis-assessment360' into assessment360_avaliacao_externa

File: docs/engineering/pr/homolog/PR_merges_homolog.txt
Match lines: 4
1555|df625e7273 Merge remote-tracking branch 'origin/feature/ai-analysis-assessment360' into assessment360_avaliacao_externa
1576|1f1abfd97e Merge branch 'feature/ai-analysis-assessment360' of https://bitbucket.org/meta_human/metahuman into feature/ai-analysis-assessment360
1638|7b0ca09a72 Merge branch 'feature/ai-analysis-assessment360' into assessment360_avaliacao_externa
1642|5314daf008 Merge branch 'feature/ai-analysis-assessment360' into assessment360_avaliacao_externa

File: docs/engineering/pr/new_staging2/PR_arquivos_new_staging2.txt
Match lines: 1
1073|A	public/js/people-analytics/modules/ai-analysis-chat.js

File: docs/engineering/pr/new_staging2/PR_impacto_new_staging2.txt
Match lines: 1
1073| .../people-analytics/modules/ai-analysis-chat.js   |  268 +

File: public/css/welfare_hub_custom.css
Match lines: 2
350|.ai-analysis-btn {
360|.ai-analysis-btn:hover {

File: public/js/chat_ia/chat_form.js
Match lines: 4
14842|                <div class="ai-analysis" style="border-left: none;">
14951|                <div class="ai-analysis" style="border-left: none;">
15127|  const aiAnalysisDiv = messageElement.querySelector('.ai-analysis');
15759|              <div class="ai-analysis" style="border-left: none;">

File: public/js/chat_ia/chat_ia_modal.js
Match lines: 4
15223|                <div class="ai-analysis" style="border-left: none;">
15332|                <div class="ai-analysis" style="border-left: none;">
15508|  const aiAnalysisDiv = messageElement.querySelector('.ai-analysis');
17045|              <div class="ai-analysis" style="border-left: none;">

File: public/js/people-analytics/modules/adriana-chart-analysis.js
Match lines: 1
108|        url: `/people-analytics/api/${encodeURIComponent(module)}/chart/${encodeURIComponent(chartId)}/ai-analysis`,

File: public/js/people-analytics/modules/attraction-retention-dashboard.js
Match lines: 2
74|  // (POST /people-analytics/api/{module}/chart/{chartId}/ai-analysis)
1432|    fetch(AI_API_BASE + '/chart/' + encodeURIComponent(chartId) + '/ai-analysis', {

File: public/js/people-analytics/modules/cost-analysis-dashboard.js
Match lines: 1
1319|    fetch(AI_API_BASE + '/chart/' + encodeURIComponent(chartId) + '/ai-analysis', {

File: public/js/people-analytics/modules/saude-organizacional-dashboard.js
Match lines: 1
658|    return fetch(`${AI_ANALYSIS_BASE}/${encodeURIComponent(chartId)}/ai-analysis`, {

File: src/Controller/PeopleAnalyticsApiController.php
Match lines: 2
44|     * POST /people-analytics/api/{module}/chart/{chartId}/ai-analysis
71|    #[Route('/{module}/chart/{chartId}/ai-analysis', name: 'people_analytics_api_chart_ai_analysis', methods: ['POST'])]

File: templates/people_analytics/chart_detail.html.twig
Match lines: 1
2637|		var endpoint = '/people-analytics/api/{{ module }}/chart/{{ chart.id }}/ai-analysis';

File: templates/people_analytics/index.html.twig
Match lines: 1
183|<script src="{{ asset('js/people-analytics/modules/ai-analysis-chat.js') }}"></script>

File: templates/welfare_hub/components/diagnosis.html.twig
Match lines: 1
40|	<button type="button" class="btn w-100 welfare-ai-analysis-btn d-flex align-items-center justify-content-center">

File: templates/welfare_hub/panel_index.html.twig
Match lines: 3
88|		.welfare-ai-analysis-btn {
99|		.welfare-ai-analysis-btn:hover,
100|		.welfare-ai-analysis-btn:focus {

File: tests/Unit/Product/PeopleAnalyticsDashboardFilesTest.php
Match lines: 1
32|        $this->assertStringContainsString("asset('js/people-analytics/modules/ai-analysis-chat.js')", $template);

Request #37 deepseek-v4-flash P:123.19K C:507 CR:121.98K CW:0 5098ms
Reasoning
Multiple dashboards call the same AI endpoint. The relevant member module AI calls come from chart_detail template only. Let me now think about what period filters other dashboards send. They send `filters: currentFilters` including `periodo`. For modules other than analise_de_membro, controller new block not applied. OK. So the date-drop only applies to module analise_de_membro, invoked from the member chart detail page whose currentFilters lacks explicit dates → intended drop of normalizer defaults. BUT the divergence remains when the member chart page is reached with a `start_date/end_date` in the URL and currentFilters (from another source?) includes them, or when the member module page is loaded from the member profile tab (`_member_analytics_tab.html.twig`) which uses the global filters and could have period filters with a selected period for the member charts. In that context, the member charts AI call would send filters with 'periodo' from the global filters → controller keeps dates (because rawFilters['periodo'] set) → but normalizer can't resolve hyphenated `periodo` values (e.g. 'ultimo-mes') → falls back to defaults (6 months) → then controller doesn't unset → AI gets 6-month default window while the chart shows 'ultimo-mes' (1 month). Mismatch (already partially pre-existing). Hmm honestly, the controller/resolver duplication difference is a code-quality bug that in specific flows drops user-selected date ranges. I'll keep it but set severity medium, framed around the inconsistency: when front sends start_date/end_date without periodo, dates get dropped. Wait — actually let me reconsider whether frontend can even send start_date/end_date for member module: `_member_analytics_tab.html.twig`! Let me read it to check whether it drives AI or is for the member analytics tab charts in member profile; perhaps it sets filter options with dates. Let me quickly check lines ~150-380.
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{"end_line": 400, "file_path": "templates/company/_member_analytics_tab.html.twig", "start_line": 100}
File: templates/company/_member_analytics_tab.html.twig (Total lines: 406)
IS_TRUNCATED: false
LINE_RANGE: 100-400
100|	}
101|
102|	/* KPI / chart card headers: keep neutral — do not use company theme bg */
103|	#analytics-individual-section .pa-kpi-card__header {
104|		background: var(--app-card-surface-bg);
105|	}
106|
107|	#analytics-individual-section .pa-charts-section .card-header.app-controls-bar,
108|	#analytics-individual-section .pa-charts-section .app-controls-bar.tm-controls-bar {
109|		background-color: var(--app-card-surface-bg);
110|	}
111|</style>
112|
113|{# Estrutura IDÊNTICA ao module_detail.html.twig #}
114|<div class="zero-padding pa-module-detail" data-module="analise_de_membro" data-member-id="{{ member.id }}">
115|	{# Background Image - Full background like Figma #}
116|	<div class="pa-module-detail__background" 
117|	     style="background-image: url('{{ asset('images/people-analytics/analise_de_membro.png') }}');">
118|	</div>
119|
120|	{# Content #}
121|	<div class="pa-module-detail__content">
122|		{# Export Button - Top Right #}
123|		<div class="pa-module-detail__export">
124|			<button type="button" class="pa-export-btn" data-action="export-pdf">
125|				<img src="{{ asset('images/people-analytics/icons/export.png') }}" alt="Exportar" class="pa-export-icon">
126|				Exportar PDF
127|			</button>
128|		</div>
129|
130|		{# Header - Centered Title (sem Back Arrow dentro da tab) #}
131|		<div class="pa-module-detail__header">
132|			<div class="pa-module-detail__title-wrapper">
133|				<h1 class="pa-module-detail__title">
134|					Análise do Membro
135|					<i class="fas fa-info-circle pa-info-icon" data-toggle="tooltip" data-placement="top" title="Entrega uma visão 360º de cada colaborador: evolução de desempenho, entregas, carga de trabalho, ausências e eventos importantes da jornada, sempre em comparação com o time."></i>
136|				</h1>
137|			</div>
138|			<p class="pa-module-detail__subtitle">Desempenho individual e histórico do colaborador.</p>
139|		</div>
140|
141|		{# Filters - New System with Offcanvas Modal #}
142|		<div class="pa-module-detail__filters" id="pa-filters-container">
143|			{# Filtros selecionados aparecem aqui como tags #}
144|			<div id="pa-selected-filters" class="pa-selected-filters"></div>
145|			
146|			{# Botão para adicionar filtro - max 4 filtros #}
147|			<button type="button" class="pa-add-filter-btn" id="pa-add-filter-btn" data-toggle="modal" data-target="#modal-global-filters">
148|				<span>Adicione um filtro</span>
149|				<i class="fas fa-plus"></i>
150|			</button>
151|		</div>
152|
153|		{# KPIs Section - Bootstrap Grid - SEMPRE VISÍVEL #}
154|		<div class="pa-kpis-section" data-component="kpis-container">
155|			<div class="row row-cols-1 row-cols-md-2 row-cols-lg-4 g-4 justify-content-center">
156|				{% for kpi in analytics_kpis|default([]) %}
157|					<div class="col">
158|						{% include 'people_analytics/layout/_kpi_card.html.twig' with {
159|							id: 'kpi-' ~ loop.index,
160|							title: kpi.title,
161|							iconImage: kpi.iconImage
162|						} %}
163|					</div>
164|				{% endfor %}
165|			</div>
166|		</div>
167|
168|		{# Charts Section - Bootstrap Grid 6-6 - SEMPRE VISÍVEL #}
169|		<div class="pa-charts-section" data-component="charts-container">
170|			<div class="row g-3">
171|				{% for chart in analytics_charts|default([]) %}
172|					<div class="{% if chart.size == 'full' %}col-12{% else %}col-12 col-md-6{% endif %}">
173|						{% include 'people_analytics/layout/_chart_card.html.twig' with {
174|							id: chart.id,
175|							title: chart.title,
176|							module: 'analise_de_membro',
177|							chartType: chart.chartType
178|						} %}
179|					</div>
180|				{% endfor %}
181|			</div>
182|		</div>
183|	</div>
184|</div>
185|
186|{# Modal Offcanvas - Filtros Globais #}
187|{% embed 'components/_modal_offcanvas.html.twig' with {
188|	'modal_id': 'modal-global-filters',
189|	'modal_width': '420px',
190|	'no_backdrop': true
191|} %}
192|	{% block modal_title %}Filtros Globais{% endblock %}
193|	
194|	{% block modal_body %}
195|	<div class="pa-filter-modal">
196|		{# Campo de busca #}
197|		<div class="pa-filter-modal__search">
198|			<i class="fas fa-search pa-filter-modal__search-icon"></i>
199|			<input type="text" 
200|				   class="pa-filter-modal__search-input" 
201|				   id="pa-filter-search" 
202|				   placeholder="Procure por um filtro...">
203|		</div>
204|
205|		{# Filtros Globais renderizados dinamicamente do backend #}
206|		<div class="pa-filter-modal__sections" id="pa-filter-sections">
207|			{% for filterKey, filter in analytics_filters|default([]) %}
208|			<div class="pa-filter-section" data-section="{{ filter.key }}">
209|				<button class="pa-filter-section__header collapsed" type="button" data-toggle-section="{{ filter.key }}">
210|					<span class="pa-filter-section__title">{{ filter.title }}</span>
211|					<i class="fas fa-chevron-down pa-filter-section__icon"></i>
212|				</button>
213|				<div class="pa-filter-section__content collapsed" id="section-{{ filter.key }}">
214|					<div class="pa-filter-section__options">
215|						{% for option in filter.options %}
216|						<div class="pa-filter-option-card" data-filter-type="{{ filter.key }}" data-filter-value="{{ option.value }}">
217|							<span class="pa-filter-option-card__label">{{ option.label }}</span>
218|						</div>
219|						{% endfor %}
220|					</div>
221|				</div>
222|			</div>
223|			{% endfor %}
224|		</div>
225|	</div>
226|	{% endblock %}
227|	
228|	{# Sem footer - seleção é imediata #}
229|	{% block modal_footer %}{% endblock %}
230|{% endembed %}
231|
232|{# JavaScripts necessários #}
233|<script src="{{ asset('js/metahuman-standard.js') }}"></script>
234|
235|{# Highcharts CDN - Todos os módulos necessários #}
236|<script src="https://code.highcharts.com/highcharts.js"></script>
237|<script src="https://code.highcharts.com/highcharts-more.js"></script>
238|<script src="https://code.highcharts.com/modules/heatmap.js"></script>
239|<script src="https://code.highcharts.com/modules/treemap.js"></script>
240|<script src="https://code.highcharts.com/modules/funnel.js"></script>
241|<script src="https://code.highcharts.com/modules/exporting.js"></script>
242|<script src="https://code.highcharts.com/modules/no-data-to-display.js"></script>
243|<script src="https://code.highcharts.com/modules/accessibility.js"></script>
244|
245|{# PDF Export Libraries #}
246|<script src="https://cdnjs.cloudflare.com/ajax/libs/html2canvas/1.4.1/html2canvas.min.js"></script>
247|<script src="https://cdnjs.cloudflare.com/ajax/libs/jspdf/2.5.1/jspdf.umd.min.js"></script>
248|
249|{# People Analytics JS Modules #}
250|<script src="{{ asset('js/people-analytics/kpi-utils.js') }}"></script>
251|<script src="{{ asset('js/people-analytics/chart-factory.js') }}"></script>
252|<script src="{{ asset('js/people-analytics/module-detail.js') }}"></script>
253|<script src="{{ asset('js/people-analytics/chart-detail-filters.js') }}"></script>
254|<script src="{{ asset('js/people-analytics/export-pdf.js') }}"></script>
255|
256|{# Módulo específico para Análise do Membro #}
257|<script src="{{ asset('js/people-analytics/modules/member-analysis-dashboard.js') }}"></script>
258|
259|{# Script de inicialização com KPIs em loading #}
260|<script>
261|(function() {
262|	'use strict';
263|	
264|	/**
265|	 * Inicializa todos os KPIs com estado de loading ("...")
266|	 * Executado ANTES dos módulos carregarem dados da API
267|	 */
268|	function initKpisWithLoadingState() {
269|		const kpisContainer = document.querySelector('#analytics-individual-section [data-component="kpis-container"]');
270|		if (!kpisContainer) return;
271|		
272|		const kpiCards = kpisContainer.querySelectorAll('.pa-kpi-card');
273|		
274|		kpiCards.forEach(card => {
275|			// Define valor principal como "..."
276|			const valueEl = card.querySelector('.pa-kpi-card__value');
277|			if (valueEl) {
278|				valueEl.textContent = '...';
279|			}
280|			
281|			// Define trend como "..."
282|			const trendTextEl = card.querySelector('.pa-kpi-card__trend-text');
283|			if (trendTextEl) {
284|				trendTextEl.textContent = '...';
285|			} else {
286|				const trendBadge = card.querySelector('.pa-kpi-card__trend-badge');
287|				if (trendBadge) {
288|					const allSpans = trendBadge.querySelectorAll('span');
289|					allSpans.forEach(span => {
290|						if (!span.classList.contains('pa-kpi-card__trend-icon')) {
291|							span.textContent = '...';
292|						}
293|					});
294|				}
295|			}
296|		});
297|	}
298|	
299|	// Executa assim que o DOM carregar
300|	if (document.readyState === 'loading') {
301|		document.addEventListener('DOMContentLoaded', initKpisWithLoadingState);
302|	} else {
303|		initKpisWithLoadingState();
304|	}
305|})();
306|</script>
307|
308|{# Inicialização do módulo de análise do membro #}
309|<script>
310|(function() {
311|	'use strict';
312|	
313|	let analyticsInitialized = false;
314|	
315|	/**
316|	 * Função para inicializar o dashboard de analytics do membro
317|	 */
318|	function initMemberAnalyticsDashboard() {
319|		// Evita inicializar múltiplas vezes
320|		if (analyticsInitialized) {
321|			console.log('[Analytics Tab] Já inicializado, pulando...');
322|			return;
323|		}
324|		
325|		console.log('[Analytics Tab] Iniciando...');
326|		
327|		// Inicializa tooltips do Bootstrap
328|		$('[data-toggle="tooltip"]').tooltip();
329|		
330|		// === ANÁLISE DO MEMBRO - Sistema Modular ===
331|		if (typeof window.MemberAnalysisDashboard !== 'undefined') {
332|			// Pega o member_id do atributo data
333|			const analyticsTab = document.querySelector('#analytics-individual-section .pa-module-detail');
334|			const memberId = analyticsTab ? analyticsTab.dataset.memberId : null;
335|			
336|			console.log('[Analytics Tab] Member ID detectado:', memberId);
337|			
338|			if (memberId) {
339|				// IMPORTANTE: Configura o member_id ANTES de inicializar
340|				console.log('[Analytics Tab] Configurando member ID:', memberId);
341|				window.MemberAnalysisDashboard.setSelectedMemberId(parseInt(memberId));
342|				
343|				// Inicializa o dashboard
344|				console.log('[Analytics Tab] Iniciando MemberAnalysisDashboard...');
345|				window.MemberAnalysisDashboard.init();
346|				
347|				// Esconde o empty state (não precisamos dele na tab)
348|				console.log('[Analytics Tab] Escondendo empty state...');
349|				window.MemberAnalysisDashboard.hideEmptyState();
350|				
351|				// Força o carregamento de TODOS os dados (KPIs + Gráficos)
352|				console.log('[Analytics Tab] Carregando KPIs e gráficos...');
353|				setTimeout(function() {
354|					window.MemberAnalysisDashboard.reloadAll();
355|					console.log('[Analytics Tab] Dados carregados!');
356|				}, 200);
357|				
358|				analyticsInitialized = true;
359|			} else {
360|				console.error('[Analytics Tab] Member ID não encontrado!');
361|			}
362|		} else {
363|			console.error('[Analytics Tab] MemberAnalysisDashboard não carregado!');
364|		}
365|		
366|		// Inicializa sistema de filtros globais
367|		if (typeof window.PeopleAnalyticsFilters !== 'undefined') {
368|			window.PeopleAnalyticsFilters.modalId = 'modal-global-filters';
369|			window.PeopleAnalyticsFilters.init();
370|			
371|			// Debug: Log quando filtros globais mudarem
372|			document.addEventListener('peopleAnalyticsGlobalFilterUpdate', function(e) {
373|				console.log('[Analytics Tab] Filtros globais atualizados:', e.detail.filters);
374|			});
375|		}
376|	}
377|	
378|	// Inicializa quando o DOM estiver pronto
379|	document.addEventListener('DOMContentLoaded', function() {
380|		// Detecta quando a tab de Analytics Individual é clicada/ativada
381|		const analyticsTabLink = document.getElementById('analytics_individual_tab');
382|		
383|		if (analyticsTabLink) {
384|			console.log('[Analytics Tab] Tab link encontrado, adicionando listener...');
385|			
386|			// Inicializa quando a tab for clicada
387|			analyticsTabLink.addEventListener('click', function() {
388|				console.log('[Analytics Tab] Tab clicada!');
389|				// Usa setTimeout para garantir que a tab está visível antes de inicializar
390|				setTimeout(function() {
391|					initMemberAnalyticsDashboard();
392|				}, 100);
393|			});
394|			
395|			// Se a tab já estiver ativa no carregamento, inicializa imediatamente
396|			if (analyticsTabLink.classList.contains('active')) {
397|				console.log('[Analytics Tab] Tab já ativa, inicializando...');
398|				initMemberAnalyticsDashboard();
399|			}
400|		} else {
Request #38 deepseek-v4-flash P:127.48K C:3.84K CR:123.65K CW:0 33882ms
Reasoning
OK, this tab renders dashboard charts (not chart_detail, no AI analysis inline for those; those pages have chart cards with links to chart detail? Actually not in this tab). The AI analysis flows are on chart_detail and the module dashboards (with the new shared helper for produtividade). The AI analysis on chart_detail is where the member module AI lives. So for the member module AI, only the chart_detail page uses it, and its currentFilters never contain dates except what template adds from URL via member_id (not dates). So, for the member chart detail page, explicit start/end dates do NOT reach the request (template adds only member id; URL dates are only used to decide whether to strip default dates from currentFilters, but currentFilters never had dates). So the controller dropping explicit start/end dates can't occur through this flow. The date divergence issue #1 is therefore less concrete — although the controller condition is still wrong in general (if someone else calls the endpoint with explicit dates, they are silently dropped), the only current consumer is the chart_detail template, which never sends dates. But wait — is the member module chart_detail page also where the member AI button exists? Yes, `loadAiAnalysis` is on chart_detail for all modules, including analise_de_membro. And also the chart detail filters UI allows selecting `periodo` filters on the member page? The metadata filters for member chart (filterAvailableFilters + chart detail filters) may include 'periodo'? On chart_detail page, PeopleAnalyticsFilters uses selectedFilters where filter options come from metadata filters (with data-filter-type). For the member module charts, available filters may include 'periodo'? If the user chooses a period (e.g., "último mês"), the filter is stored in selectedFilters; and the chart data is reloaded using this period... then on clicking AI Generate, `currentFilters` = PeopleAnalyticsFilters.getCurrentFilters()?? not defined → {} — so filters selected wouldn't even be sent?? Hmm. `getCurrentFilters` is only called if defined; PeopleAnalyticsFilters doesn't define it. So the AI request on chart detail only ever sends autoFilters + member_id. Then the AI never reflects user-selected filters on chart_detail at all! That's an existing quirk, not introduced by this PR (though the PR adds member_id to make it more meaningful). Given all this, the "period mismatch" risk reduces to: The chart detail member page displays the chart with data derived from the dashboard filters (period chosen) - AI sends no dates -> full range. Wait, how does the chart display with the filter period if the AI request doesn't include the filter period? The chart display data comes from chart data endpoints that read the filters from PeopleAnalyticsFilters' selectedFilters via fetchChartData when triggerChartUpdate dispatched, but on initial load the chart fetches data from its own API with whatever defaults (no filters). So the initial member chart shows full-history data (no period). AI (no dates) analyzes full-history data too. So they match! Good - intended. If the user chooses a period in the filter UI, chart reloads (via data endpoints) with that period, but pressing AI Generate sends no period → AI mismatch. That mismatch pre-existed for all modules. In fact for the non-member dashboards, getFilters includes currentFilters? For module dashboards, each module's charts use their own JS sending the filter state (e.g., produtividade `currentFilters`). The chart_detail AI was already weaker. So the date-drop condition inconsistency, while theoretically wrong, may not manifest in the actual member chart_detail flows (they never send explicit dates). However, the member module's AI is ALSO invoked in the produtividade-dashboard? no, module=produtividade there. Hmm, so I should downgrade issue #1: The practical impact is limited because the sole current frontend for member module never sends explicit dates; the divergence between the controller (raw period check only) and resolver (no periodo and no dates) means: If an explicit start/end is sent without `periodo`, the controller strips them. Even if the UI never does this today, the code is plainly inconsistent and future callers will be surprised. And the template's rule is yet another condition. So the duplication is the real problem. Severity medium at most; frame as: "três regras duplicadas divergentes; na prática pode descartar período explícito". Actually wait — reconsider: is the condition in the controller even needed, given the resolver already removes re-added default dates? Yes, because controller must remove dates before passing filters onward? Let me re-examine: If the controller didn't unset anything, then for payload without dates: controller normalizes → default dates 6 months → passes to analyze → resolver normalizes again (dates already present, kept) → resolver's condition (no periodo, but start/end present) false → dates kept. Result: AI restricted to 6-month default → the original bug returns. So the resolver condition is insufficient because filters reaching resolver are post-controller-normalized (default dates already added by the first normalizer). So controller must also strip. Both rules are actually needed together to strip default dates because there are two normalize passes. And the controller rule should also check that dates weren't explicitly provided. So the bug remains as described: explicit dates dropped. OK. So given the actual UI does not send explicit dates, actual impact limited. I'll rate as medium; there's still a clean fix: change controller condition to also check rawFilters start_date/end_date absent. Also I'll note inconsistency with resolver as a maintainability concern. Actually, wait. There's another subtlety I should verify — double normalization concern for the case where raw had 'periodo' with a value the normalizer supports (e.g., 'ultimo_mes')? resolvePeriodFilter in the normalizer handles underscore values. Where does the front send values? Data-filter-value for period options in the module dashboards like produtividade? e.g. periodos like 'ultimo-mes'? For the produtividade module the chart JS sends currentFilters with periodo='ultimo-mes'? If the member chart AI is triggered from anywhere that sends `periodo`, the controller keeps it, resolver's second normalize then reads filters['periodo']? — no, the first normalize removed 'periodo' from the array, so the resolver only gets start/end dates (resolved from the first pass). Wait in first pass: controller normalizes; if periodo='ultimo_mes', resolvePeriodFilter in normalizer returns dates → start/end set → then rawFilters['periodo'] exists → controller doesn't unset → good. So the dates stay for both passes, resolved identically. Fine. Time to finalize. Let me also confirm the shared JS helper "escapeHtml" is used correctly and that AI content insertion is escaped. Also confirm nothing else. Now, deciding final set of code comments. Requirements: comments should be in the review-group files. Let's aim for concise, high-value comments: 1. **PeopleAnalyticsApiController.php (alta/security)**: membro module AI accepts arbitrary member id without server-side scope validation — the same flow that MemberAnalysisController/chart data endpoints protect with applyPermissionFilters/canViewMember. With this PR member data is now actually restricted & returned per member for the AI; a self/team-scope user can request any member's individual metrics and these are sent to the external LLM. Recommend reusing PeopleAnalyticsPermissionService (applyPermissionFilters + canViewMember) before forwarding, as done by MemberAnalysisController, and add automated test. Anchor: I'll anchor to new code in the controller lines 115-120 (`if ($module === 'analise_de_membro' ...`). Wait, but the anchor code is about dates; the security comment is about member_id acceptance that is located in normalizer lines 99-107 and getChartData lines 51-60. Better anchor in the normalizer file at lines 99-107 (the new code deriving member_id) OR in MemberAnalysisService lines 51-60. The normalizer's new member derivation is where arbitrary member keys get accepted, and normalizer runs in the AI flow (controller and resolver). I'll place security comment in ChartFilterNormalizer at the new lines 99-101? Both comments... but the actual lack of validation is a controller concern. However anchoring to controller is awkward because the controller didn't add member_id acceptance. The review group includes both. I think best anchor: MemberAnalysisService::getChartData new lines (51-60) — this is where the member gets chosen and the `membro` filter is forced, and it's in the AI resolution path. It clearly shows the new logic silently accepts whatever ID arrives and narrows the query to it. The recommended fix: validate canViewMember in controller/service. Let's anchor there. 2. **ChartFilterNormalizer.php (medium)**: When multiple members are sent (e.g., `member_ids` from a shared/team filter), the code silently picks the first and proceeds, so a request that intended a team comparison is analyzed as a single arbitrary member without error; and non-numeric member ids are ignored silently. Recommend requiring exactly one member (400 otherwise) or at least logging/erroring. Actually anchor: lines 99-101 (`if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) { $normalized['member_id'] = (int) reset(...); }`). Yes. Hmm — but maybe issue 2 and issue 5 overlap in the file. I'll keep issue 5 as low/medium in normalizer. 3. **PeopleAnalyticsApiController.php (medium)**: date rule divergence — controller drops explicit start_date/end_date when the raw payload lacks `periodo`, but the resolver only drops when neither is present, and the template uses yet another condition. The controller's rule is broader: a caller that explicitly passes start_date/end_date (sem `periodo`) for the member module would have the dates silently dropped → the AI recorte differs from the chart shown. Align the condition with the resolver (require the three keys absent) or centralize the rule into the normalizer. Anchored at controller lines 115-120. 4. **ChartAiAnalysisService.php (low/medium)**: The new insufficient-data guard and member-oriented copy apply globally to all modules (not only member analysis), and because `ai_provider` becomes null, downstream consumers that relied on `ai_provider`/analysis when data was empty... Actually this isn't a strong issue. Also its position after the (stub) privacy check. I think the most honest comment: this changes behavior for every module's charts that return empty data — the previous behavior was to still call the LLM (which at least acknowledged "no data"), now returns a canned answer; but that's arguably an improvement and aligned with PR intent (avoid paying for empty payload). Might be in-scope as the bugfix is about member charts being seen as empty. Hmm... but it's a shared component used by every dashboard, while the PR is about member analysis. I'd flag low: "a guarda afeta todos os módulos; mensagens mencionam 'colaborador', inadequadas para dashboards de empresa; e isso muda resposta de sucesso para gráficos vazios de outros módulos — confirmar que é o desejado" — as low. Actually since focus is bug/security etc., I could skip this. But there's a more serious subtle bug in hasInsufficientData: `empty($derivedMetrics)` — derived metrics for category_series when there are series but empty values returns [] → triggers guard. Good. Hmm... What about `missing_dimensions` when a chart legitimately has labels but datasets empty (e.g., chart data structure for the member module chart 'chart-tempo-atividade-membro' returns labels + data array maybe not datasets). If canonicalizer maps label+data to categories/series? Let me check canonicalizer for donut/pie etc. Might misfire: chart with data present but canonical shape inference wrong? Actually if chart_meta.chart_type = 'donut', canonical_shape='category_series', canonicalizer builds categories+series from data. If getTimeByActivityType returns labels+data with single series, canonicalizer presumably handles. No need. 5. **MemberAnalysisService.php (low)**: duplicated chart id catalog in getChartData and chartMetadata matches; adding a chart in one but not the other yields inconsistent title/type (or 'unknown') silently. Also array_merge overwrites metadata with data keys. Maintainability low. 6. **ChartDerivedMetricsCalculator.php**: maybe comment on the dedupe naming? Actually let me look for a real subtle issue: the dedupe suffix logic uses `(count($metrics['series_metrics']) + 1)`, which counts all prior series (not just those with same name). For a chart with datasets A, B, A: dataset 3 sees A already present → suffix ' 3'? count($metrics['series_metrics']) = 2 at that time (A and B), +1 = 3 → 'A 3'. Fine. But there's a subtle bug: In timeseries, if two series share the name and the FIRST has empty values (skipped), and the SECOND also has empty values... no conflict. Actually there IS a subtle real bug: The dedupe check runs BEFORE the empty check but only tests existence in `series_metrics`, which is only populated for non-empty series. Fine. OK the derived-metrics change is fine. 7. Template `var` — skip (surrounding code legacy var). Actually, I want to double check the template member block bug candidate: It deletes `currentFilters.start_date/end_date` only when the URL has no explicit period. But the template never puts URL's period into currentFilters, and never overrides URL's member with... actually member is added. Suppose the user opens member chart with a URL period (hasExplicitPeriod true) while currentFilters had a default period value from autoFilters (none for member) — so it's fine. But there's a subtle real mismatch within the template block: it adds `currentFilters.member_id = memberId` where memberId can be a *string* from URL (URLSearchParams gives string). Fine — normalizer casts to int. Also `member_id` could equal the current company member or an arbitrary one. Server-side enforcement needed. Now severity for the security comment: Is route reachable to self-scoped users at all? The firewall might block non-authorized users. Typically the people analytics routes require permission product people-analytics and maybe canEdit? I can't confirm. But even company-scope HR should be allowed any member. The risk concerns self/team-scope users who can access the module page (they can view module analise_de_membro). Since the module page is reachable for self-scope users (their own analysis), the AI endpoint reachability is plausible (they are authorized to PA). Crafting POST to analyze other member works if no server check. However, one nuance: for self-scope, if the attacker passes member_id of another member, the resulting chart queries (MemberAnalysisService methods) filter company-wide? Wait — they filter by `filters['membro']` = [(int) otherMember], plus company = attacker's company. So the data returned IS the other member's data (any member in same company). Then the response includes chart_data and ai_payload containing the other member's activities/hours. So yes, leakage of other member data to the requester and to the LLM vendor. Given it's a security-sensitive finding, I'll set severity high, category security. Wait: is this leak NEW? Before this PR, did analise_de_membro AI return individual data for arbitrary member_id? Let's confirm once more what happens pre-PR when calling the AI endpoint with member_id of another member: getChartData dispatches to getWorkloadVsProductivity with filters having member_id, but 'membro' not set (because normalizer didn't map 'membro' and there was no 'membro' key; but wait — in the pre-PR chart_detail template, currentFilters for member module AI included... In the pre-PR chart_detail, currentFilters = getCurrentFilters() (undefined → {}) + autoFilters (for self: {'membro': selfMemberId}!). Ah! Important: autoFilters for self-scope IS {'membro': selfId} per determineAutoFilters. So before the PR, the normalizer didn't map 'membro' → but it's not in keyMappings pre-PR (we saw 'membro' => 'member_ids' was added in this PR). Pre-PR, `membro` would be copied by step 6 as an unprocessed key → remained 'membro' => [selfMemberId]. MemberAnalysisService pre-PR read only member_id; if member_id absent → throws 500. Wait but autoFilters has membro, not member_id. Hmm... Then pre-PR, the AI flow for member module with autoFilters membro... pre-PR getChartData would throw because member_id null. But wait, the template pre-PR didn't add member_id either. So how did member AI ever work pre-PR? Maybe getCurrentFilters is defined by a script loaded on the member chart_detail page (member-analysis-dashboard.js?) Let me check if member-analysis-dashboard.js or module_detail.js defines getCurrentFilters on PeopleAnalyticsFilters. Search for `getCurrentFilters:` in all js.
Tool Calls (2)
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{"search_text": "getCurrentFilters:"}
File: public/js/people-analytics/modules/atracao-retencao-charts.js
Match lines: 1
521|        getCurrentFilters: function() {

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{"search_text": "getCurrentFilters\\s*[=:]", "use_perl_regexp": true}
File: public/js/people-analytics/import/chart-import-handler.js
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183|                if (window.PeopleAnalyticsFilters && typeof window.PeopleAnalyticsFilters.getCurrentFilters === 'function') {

File: public/js/people-analytics/modules/atracao-retencao-charts.js
Match lines: 1
521|        getCurrentFilters: function() {

Request #39 deepseek-v4-flash P:131.47K C:6.92K CR:131.2K CW:0 49641ms
Reasoning
`getCurrentFilters` is only defined in atracao-retencao-charts.js (its own object). So on chart_detail pages, `currentFilters` is {}+autoFilters. And template member block adds member_id from URL. So the member AI flow likely only started to work thanks to this PR (adding member_id from URL to the filters and mapping membro). Before the PR, the AI endpoint for member module probably always failed (500) or used member_id only if the caller passed it manually. Therefore the cross-member AI leak is NEW (member-specific data now actually flows; before it either errored or wasn't member-restricted). The template change adding member_id from URL enables it from UI, but the real protection must be on the server. Good. This supports a high-severity security comment. Let me now also double check that the chart methods when restricted to a member with no permission still filter by company. Suppose attacker from company A posts member_id belonging to company B: `filters['membro'] = [B's id]`. SQL joins company_members cm with cm.company_id = A's company. There is no row matching B's member id within A's company. So cross-company blocked. The leak is only within the same company (i.e., other employee of the same company) - precisely the self/team scope users issue. For team scope: attacker limited to team T can only analyze members in T (canViewMember returns false for outside). But direct API call bypasses canViewMember entirely and queries by any member in company → data of members outside their team. Yes leak. Alright. Now let me finalize which comments to actually post, ensuring each anchored to newly added lines of the specific file with correct snippet text copied from diff. Planned code_comment list: **C1** — `src/Controller/PeopleAnalyticsApiController.php`, severity high, category security, at the new block: existing_code: ``` if ( $module === 'analise_de_membro' && !isset($rawFilters['periodo']) ) { unset($filters['start_date'], $filters['end_date']); } ``` Wait — that block is about dates, not members. Anchor mismatch content. Alternatively anchor at `$filters = $filterNormalizer->normalize($filters);`? That line is unchanged? Actually line `$filters = $filterNormalizer->normalize($filters);` is unchanged context. The new lines are rawFilters etc. Hmm anchoring C1 security to member block? I'd rather anchor at the controller's raw/normalize new lines (108-113), which are also new: ``` $rawFilters = $data['filters'] ?? []; $filters = $rawFilters; ``` That's the start of the member-handling region. But content would be about member authorization missing — loose fit. Better: Put the security comment in `MemberAnalysisService.php` lines 51-60 (new): ``` $memberId = $filters['member_id'] ?? $filters['membro'] ?? null; if (!$memberId && !empty($filters['member_ids'])) { $memberId = reset($filters['member_ids']); } ``` Content: "Aqui o ID do colaborador vem do corpo da requisição sem nenhuma validação de escopo/permissão; com o novo fluxo ..." This file is in review group, these are new lines. Good anchor. But the service isn't where permission checks happen by design (chart data endpoints do applyPermissionFilters before calling service). The service may not be the right layer, but the resolver/controller AI path never applies it. I'll mention that other paths apply applyPermissionFilters before calling, but the AI path doesn't. Alternatively anchor in normalizer for member_id derivation. Let me anchor to MemberAnalysisService because that's where the member is coerced and the membro filter forced — the crucial new lines that turn arbitrary IDs into filtered per-member queries. Good. **C2** — `src/Controller/PeopleAnalyticsApiController.php`, severity medium, category bug: date rule divergence. Anchor lines 115-120 block. **C3** — `src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php`, severity low/medium, category bug: multiple members silently truncated; missing error on multi-member request. Anchor lines 99-101 new code. Actually the loop `if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) { $normalized['member_id'] = (int) reset($normalized['member_ids']); }`. Hmm, but C1 and C3 overlap somewhat (both about member id). C1 about missing permission validation; C3 about silently picking the first of many members / lack of error when no valid member. Keep C3 low severity & distinct. **C4** — `ChartAiAnalysisService.php`, low, maintainability/UX: guard is global; copy in `insufficientDataResponse` mentions "colaborador", "período" — applies to all module dashboards; behavior change for empty charts in other modules outside member scope. Hmm is that worth it? The bigger point: this changes behavior of all modules (product-wide) in a member-scoped bugfix PR. I'll write it as a low/medium "escopo" comment anchored at lines 91-93 (new) - but also I might merge it into a comment about the fact that when data is truly empty for any module, previously the DeepSeek response might still give useful guidance for no-data states. Eh. Let me include it as a medium maintainability comment about global scope + generic copy, because it's legitimately new code with product-wide impact. Actually the "copy mentions colaborador" is a concrete oddity when applied to e.g. produtividade dashboard (empresa level) with insufficient data: "Verifique se o colaborador possui dados no período selecionado." Confusing for a company-level chart. That's a valid low-UI bug. I'll include as low. **C5** — `MemberAnalysisService.php`, low maintainability: duplicate catalog in getChartData + chartMetadata match and array_merge ordering. Anchor at new lines 73-74 and chartMetadata. Use snippet: ``` return array_merge($this->chartMetadata($chartId), $chartData); } private function chartMetadata(string $chartId): array ``` Content: catalog duplicated; risk of future drift; array_merge allows chartData's own title/type to override metadata and vice versa inconsistent. Suggestion: keep single source (constant map), add a test that every chart id exists in both maps. **C6** — chart_detail.html.twig: skip var style. Maybe add a comment that the member_id from URL isn't validated against the scope on server (but server is where fix must go, and template client code just passes param; the chart data endpoint already enforces). Skip to keep only meaningful. **C7** — produtividade helper: the new shared JS is loaded only in the produtividade template; check include. It's outside review group but the new JS file is in group. Should I comment on new JS for any issue? Let's double check for potential issues in the helper: - `requestAnalysis` builds url using `options.module` — fine. - Missing CSRF header: POST with cookie auth... The user rules say "Chamada AJAX que muta dado deve enviar o token CSRF". This endpoint is a POST that triggers an AI request (a paid call, and side effects like data reads). Does the app require CSRF on these JSON endpoints? The removed produtividade fetch also had no CSRF token. Other dashboards fetch without CSRF as well. And it's a data-read/AI-generate endpoint (state-changing in the sense of cost). The Symfony route likely isn't CSRF-protected. Flagging CSRF may be overreaching given established pattern and cookie-based JSON API with X-Requested-With only... CSRF risk with SameSite cookies? Modern browsers default SameSite=Lax, and cross-site POSTs with cookies are blocked under Lax for top-level POSTs. Eh. I'll not flag. Let me verify the helper is included in the member chart_detail page too? No - only produtividade template adds the script. chart_detail still has its own code. OK. So final comment set C1-C5. Severity C1 high security; C2 medium bug; C3 low bug; C4 low (escopo/copy); C5 low maintainability. Possibly C2 should be medium-high? I'd say medium. Let me reconsider C1 against the caution "favor precision over recall; only report defects likely real in changed code reachable context." I have strong evidence of the missing server-side scope check in the AI path, and evidence that the same PR makes per-member data flow (previously errors or aggregate). It's a real security concern. Keep. Let me reconsider the "reachability" of the AI endpoint: Is there any global access control that restricts who can POST? Without full knowledge, I can't prove self-scope users can reach it, but the page module restriction (self scope users can access the module) strongly suggests they can reach its API too. Good enough. Let me write the comments in pt-BR with the required structure and concise language. Also C2 content needs accuracy: controller drops start_date/end_date whenever raw payload has no periodo; even if the payload explicitly includes start_date/end_date (vindos do recorte do gráfico). The resolver's rule requires both explicit dates to be present to keep. So a payload with explicit dates but no periodo → controller strips, resolver sees none (they were removed) and re-adds then removes... net: no dates. Meanwhile the chart may show the explicit range. And template uses a different rule (removes only when URL has none). Then also note that normalizer re-adds default dates on second normalize and the resolver rule compensates — so it's messy with three layers. Suggest centralizing: treat "sem recorte explícito" como ausência de periodo/start_date/end_date nas três camadas, e validar com o mesmo critério. I'll phrase comment accordingly. For C3: When normalizing member module filters with multiple member_ids (e.g., `membro` multi-select reusing the same list from the produtividade/team filter context) the code silently picks the first ID; MemberAnalysisService then restricts the query to only that member — a request that didn't intend a single member yields an analysis of an arbitrary member without any error. Also if member_ids contains non-numeric values... hmm normalizeToArray already intval filters. E.g. 'membro': 'abc' → returns ['abc']? normalizeToArray: is_string('abc') not numeric → returns ['abc']; then (int)'abc' = 0 → member_id = 0 → queries filter cm.id IN (0) → returns empty data → canned insufficient message. Meh. Keep focus on the "first of many" issue and recommend rejecting requests with != 1 member with a 400 message. For C5 snippet: exact new lines. In the diff, lines: ``` + return array_merge($this->chartMetadata($chartId), $chartData); + } + + private function chartMetadata(string $chartId): array + { + return match ($chartId) { ``` I'll anchor to `return array_merge($this->chartMetadata($chartId), $chartData);`. For C4 anchor lines: ``` + if ($this->hasInsufficientData($qualityFlags, $derivedMetrics)) { + return $this->insufficientDataResponse($module, $chartId, $resolved, $aiPayload); + } ``` And mention copy inside insufficientDataResponse referencing "colaborador"/"período" used in company-level charts; also that the guard triggers for every module/chart (produtividade, saude...), i.e., beyond member scope. Wait, is it true that company-level dashboards (e.g. produtividade dashboard buttons) send charts with empty data sometimes and previously relied on AI to explain why empty? This new shortcut changes product behavior across modules; but arguably an improvement. The essential issue is only the member-oriented copy and product-wide scope; severity low. Alright. Let me also consider whether C2 (controller) could be folded into the resolver's comment? The resolver code has its own separate condition; I already decided to anchor C2 to controller. I should make sure each existing_code snippet matches the exact diff text, including leading spaces, because the tool matches consecutive lines in the diff. For controller: The diff added: ``` + $rawFilters = $data['filters'] ?? []; + $filters = $rawFilters; $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção'; // Normalizar filtros $filters = $filterNormalizer->normalize($filters); + if ( + $module === 'analise_de_membro' + && !isset($rawFilters['periodo']) + ) { + unset($filters['start_date'], $filters['end_date']); + } ``` So snippet must be only '+' lines (newly added). Use: ``` $rawFilters = $data['filters'] ?? []; $filters = $rawFilters; ``` or the if block. In the file, indentation is 12 spaces? Let me match exactly from the diff: lines have leading 12 spaces inside method body: " $rawFilters = $data['filters'] ?? [];" - yes 12 spaces. For C2 anchor I'll use the if block lines: ``` if ( $module === 'analise_de_membro' && !isset($rawFilters['periodo']) ) { unset($filters['start_date'], $filters['end_date']); } ``` For MemberAnalysisService (C1): snippet: ``` $memberId = $filters['member_id'] ?? $filters['membro'] ?? null; if (!$memberId && !empty($filters['member_ids'])) { $memberId = reset($filters['member_ids']); } ``` These are all added lines in the diff. For normalizer C3: snippet: ``` if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) { $normalized['member_id'] = (int) reset($normalized['member_ids']); } ``` Added lines in diff. For C4 ChartAiAnalysisService: snippet (new lines): ``` if ($this->hasInsufficientData($qualityFlags, $derivedMetrics)) { return $this->insufficientDataResponse($module, $chartId, $resolved, $aiPayload); } ``` For C5 MemberAnalysisService: snippet: ``` return array_merge($this->chartMetadata($chartId), $chartData); ``` Also double check severity labels and category options: bug, security, performance, maintainability, test, style, documentation, other. Let me finalize the wording in pt-BR for each, structured as (1) what changed + practical impact; (2) why it matters; (3) what to do. C1 (security, high) at MemberAnalysisService lines 51-60. Draft: "O identificador do colaborador agora é aceito de qualquer chave enviada no corpo da requisição (`membro`, `member_ids`, `memberId`, `company_member_id`, etc.) e usado para restringir as consultas a um único membro — mas este fluxo de IA (controller + resolver) não aplica `PeopleAnalyticsPermissionService::applyPermissionFilters()` nem `canViewMember()`, ao contrário dos endpoints de gráfico (`MemberAnalysisController`) que forçam escopo self/team/company. Resultado: usuário com escopo restrito (próprio ou de equipe) consegue chamar o endpoint de análise com o ID de outro colaborador da mesma empresa e receber (e enviar à IA externa) dados individuais dele. Recomendo validar `canViewMember($memberId)` no controller/serviço antes de buscar os dados e adicionar teste de autorização cobrindo self/team fora do escopo." C2 (bug, medium) at controller. Draft: "A regra que remove o período aqui difere das outras duas camadas que tratam o mesmo caso (resolver e template): aqui qualquer payload sem a chave `periodo` tem `start_date`/`end_date` descartados, mesmo quando o cliente enviou datas explícitas. Se o recorte do gráfico foi passado como datas (sem `periodo`), a análise da IA passa a considerar período diferente do exibido (sem filtro ou com padrão de 6 meses), gerando insumo errado. Alinhe a condição com a do `ChartResolver` (remover somente quando `periodo`, `start_date` e `end_date` estiverem todos ausentes) ou concentre a regra num único ponto para não divergir no futuro." C3 (bug/other, low) at normalizer. Draft: "Quando chegam vários IDs de membro (ex.: seleção herdada de outro módulo via `membro`/`member_ids`), o primeiro é escolhido silenciosamente e a análise individual prossegue sem aviso, podendo descrever um colaborador diferente do pretendido ou ignorar valores não numéricos. Como a análise individual exige exatamente um membro, devolva erro de validação (400) quando a lista tiver mais de um ID ou nenhum válido, em vez de pegar o primeiro." C4 (other/escopo, low) at ChartAiAnalysisService guard. Draft: "Esse desvio de dados insuficientes dispara para todos os módulos/dashboards (não só análise de membro), mas o texto retornado é específico de colaborador ('Verifique se o colaborador possui dados...'), o que fica fora de contexto em gráficos de empresa. Confirme que a mudança de comportamento para gráficos vazios de outros módulos é desejada nesta PR de análise individual e generalize a mensagem." Hmm — is C4 too speculative? "gráficos vazios de outros módulos" — before this change, empty chart data still called DeepSeek? Yes, there was no guard. So yes behavior changes globally. This is objective. Good, keep low. C5 (maintainability, low) at MemberAnalysisService. Draft: "O catálogo de gráficos agora existe em dois pontos (dispatch em `getChartData` e `chartMetadata`), com risco de divergirem quando um gráfico novo for adicionado em só um deles, devolvendo título/tipo genéricos sem erro. Além disso, `array_merge` permite que o próprio dado do gráfico sobrescreva `title`/`type` injetados, dependendo da ordem. Extraia uma única constante/mapa de metadados e valide com teste que todo `chartId` do dispatch exista no mapa." Wait — array_merge order: `array_merge(metadata, chartData)` — chartData overrides metadata. So data wins. Mentioning correct direction: "o retorno do gráfico sobrescreve os metadados se ele já tiver chaves `title`/`type`" — is that bad? If chart data already had accurate title/type, overriding is OK; but then chartMetadata wouldn't be used... If chart data had a nested type (like dataset-level) it's not top-level. Since no top-level type exists today, the only effect is metadata supplies title/type. So low priority. Also C5 must be careful not to be mere "duplication" style. But it's in review guidelines (duplicate logic weight). OK. Now, also we should confirm C1's file—the comment is anchored to MemberAnalysisService (in review group). Good. Should I also raise the issue #4 (JS contract) as a comment on the new JS helper? The helper is in review group. Possible concrete comment: The helper relies on a global `window.setButtonLoading` that doesn't exist anywhere, and on markup contracts (`.pa-prod-analysis__label`, `.pa-prod-card`) not validated — but it has a fallback, so it's fine. I don't see a concrete bug in the new file itself. Skip to avoid noise. Let me double check one more possible genuine bug in the helper: `getOrCreatePanel` is called before `chartId` check; if `chartMap[key]` missing, panel created with error text — fine. And in `requestAnalysis`, if module invalid... server handles. One more: The `DEFAULT_QUESTION` used when the caller (produtividade) supplies `question` option — it's used directly only if getQuestion not provided; but wait: bind() passes `config` (options) to requestAnalysis; in produtividade bind, they pass `question: '...Produtividade.'`. requestAnalysis ignores `options.question` when...? Actually requestAnalysis uses `options.question` as fallback to DEFAULT_QUESTION, fine. But note: In produtividade bind, `getFilters` returns `currentFilters`, and `getQuestion` absent, `question` set. OK. Now — check one subtle bug in shared helper: `setButtonLoading(button, false)` at `.finally` — it disables the button and restores the label. But if loading had been true and the label changed to 'Gerando...', restore uses dataset.originalAnalysisLabel. OK. Let me check that `.pa-prod-analysis` buttons have a child `.pa-prod-analysis__label`; not in review files. Skip. OK finalize with 5 comments. Let me verify exact file paths: 1. src/Service/PeopleAnalytics/MemberAnalysisService.php 2. src/Controller/PeopleAnalyticsApiController.php 3. src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php 4. src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php 5. src/Service/PeopleAnalytics/MemberAnalysisService.php Wait, I need to ensure existing_code appears in the diff as added lines. For MemberAnalysisService (C1 and C5), verify exact leading spaces from the diff: C1 snippet: " $memberId = $filters['member_id'] ?? $filters['membro'] ?? null;" 8 spaces " if (!$memberId && !empty($filters['member_ids'])) {" 8 spaces " $memberId = reset($filters['member_ids']);" 12 spaces " }" 8 spaces Yes, from the diff earlier: ``` + $memberId = $filters['member_id'] ?? $filters['membro'] ?? null; + if (!$memberId && !empty($filters['member_ids'])) { + $memberId = reset($filters['member_ids']); + } ``` C5 snippet: " return array_merge($this->chartMetadata($chartId), $chartData);" 8 spaces. Confirmed from diff. C2 controller snippet: from diff: ``` + if ( + $module === 'analise_de_membro' + && !isset($rawFilters['periodo']) + ) { + unset($filters['start_date'], $filters['end_date']); + } ``` 12-space indent. C3 normalizer snippet: ``` + if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) { + $normalized['member_id'] = (int) reset($normalized['member_ids']); + } ``` 8-space indent. C4 ChartAiAnalysisService snippet: ``` + if ($this->hasInsufficientData($qualityFlags, $derivedMetrics)) { + return $this->insufficientDataResponse($module, $chartId, $resolved, $aiPayload); + } ``` 12-space indent. All these are new added lines. Good. I'll post the code_comment with all five. Let me craft final content in pt-BR, concise but with the three parts. The comment content should not start with method names. Also fix C1: mention that both controller path (normalização) and resolver accept; the fix location: validate server-side. Provide suggestion text. Double-check C1: Could a company-scope-only access be the norm for HR tool making this low? We know scope self/team exists and the module is accessible to self-scope users (they are redirected to their own analysis). Because self-scope users can open the module page (analise_de_membro) legitimately and it shows their own data, they likely can reach the AI endpoint too. So the finding stands. One more consideration for C1: the AI endpoint is also missing permission checks for other modules (data aggregates) — a self-scope user restricted to "only own analysis" could request e.g. produtividade module AI (company-wide aggregates) — that's pre-existing and arguably sensitive too, but not the PR's concern; I'm focusing on member-specific data leak, which is newly introduced by making member id filter effective for the AI. Alright, let me write the comments.
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{"comments": [{"content": "O identificador do colaborador agora é aceito de várias chaves enviadas pelo cliente (`membro`, `member_ids`, `memberId`, `company_member_id`, `selected_member_id`) e usado para restringir as consultas a um único membro — porém este fluxo de IA (controller `chartAiAnalysis` + `ChartResolver`) não aplica `PeopleAnalyticsPermissionService::applyPermissionFilters()` nem `canViewMember()`, ao contrário dos endpoints de dados de gráfico (`MemberAnalysisController`), que forçam escopo self/team/company no servidor. Na prática, um usuário com escopo restrito (somente o próprio dado ou a própria equipe) consegue chamar o endpoint de análise com o ID de outro colaborador da mesma empresa e receber (e enviar à IA externa/DeepSeek) os dados individuais desse colaborador, já que as queries passam a filtrar por esse `member_id` sem revalidar o vínculo com o usuário logado. Vale validar o escopo no servidor (ex.: `canViewMember()` no controller ou no service antes de buscar os dados) e cobrir com teste de autorização os cenários self/team fora do escopo.", "existing_code": "        $memberId = $filters['member_id'] ?? $filters['membro'] ?? null;\n        if (!$memberId && !empty($filters['member_ids'])) {\n            $memberId = reset($filters['member_ids']);\n        }", "category": "security", "severity": "high", "path": "src/Service/PeopleAnalytics/MemberAnalysisService.php"}, {"content": "A regra que remove o período aqui difere das outras duas camadas que tratam o mesmo caso (template e `ChartResolver`): neste ponto qualquer payload sem a chave `periodo` tem `start_date`/`end_date` descartados, mesmo quando o cliente enviou datas explícitas. Se o recorte do gráfico for passado como datas (sem `periodo`), a análise da IA passa a considerar um período diferente do exibido no gráfico (sem filtro ou com a janela padrão), gerando insumo errado para a resposta. Além disso, manter a mesma decisão em três lugares com condições diferentes é frágil para manutenção futura. Alinhe a condição com a do `ChartResolver` (remover somente quando `periodo`, `start_date` e `end_date` estiverem todos ausentes) ou centralize a regra em um único ponto (ex.: no normalizador) para as camadas não divergirem.", "existing_code": "            if (\n                $module === 'analise_de_membro'\n                && !isset($rawFilters['periodo'])\n            ) {\n                unset($filters['start_date'], $filters['end_date']);\n            }", "category": "bug", "severity": "medium", "path": "src/Controller/PeopleAnalyticsApiController.php"}, {"content": "Quando chegam vários IDs de membro numa mesma requisição (por exemplo, uma seleção `membro`/`member_ids` herdada de filtro de equipe), o primeiro ID é escolhido silenciosamente e a análise individual prossegue sem nenhum erro, podendo descrever um colaborador diferente do que a tela mostrava ou ignorar o restante da seleção. Como a análise individual exige exatamente um colaborador, o ideal é exigir/validar isso na entrada: devolver erro de validação (400) quando a lista tiver mais de um ID ou nenhum válido, em vez de assumir `reset()` do primeiro.", "existing_code": "        if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) {\n            $normalized['member_id'] = (int) reset($normalized['member_ids']);\n        }", "category": "bug", "severity": "low", "path": "src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php"}, {"content": "Este desvio de \"dados insuficientes\" dispara para qualquer gráfico de qualquer módulo (produtividade, saúde organizacional etc.), não só da análise de membro — mas o texto retornado é específico de colaborador (\"Verifique se o colaborador possui dados no período selecionado\"), o que fica fora de contexto em dashboards de empresa. Além disso, a mudança de comportamento para gráficos vazios legítimos de outros módulos (antes iam à IA, agora retornam resposta pronta) acontece nesta PR que é escopada à análise individual. Confirme que esse efeito global é desejado e generalize as mensagens para não citarem \"colaborador\" fora do módulo de membro.", "existing_code": "            if ($this->hasInsufficientData($qualityFlags, $derivedMetrics)) {\n                return $this->insufficientDataResponse($module, $chartId, $resolved, $aiPayload);\n            }", "category": "other", "severity": "low", "path": "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php"}, {"content": "O catálogo de gráficos do módulo agora existe em dois pontos separados (o `match` de dispatch em `getChartData` e o `match` de `chartMetadata`); quando um gráfico novo for adicionado em apenas um deles, o outro devolve título/tipo genéricos sem gerar erro, produzindo contrato inconsistente. O `array_merge` também permite que o próprio retorno do gráfico sobrescreva `title`/`type` injetados dependendo das chaves presentes nos dados. Vale extrair uma única fonte de metadados (constante/mapa) usada pelos dois pontos e adicionar um teste garantindo que todo `chartId` do dispatch exista no mapa de metadados.", "existing_code": "        return array_merge($this->chartMetadata($chartId), $chartData);", "category": "maintainability", "severity": "low", "path": "src/Service/PeopleAnalytics/MemberAnalysisService.php"}]}
(async)
Request #40 deepseek-v4-flash P:31.05K C:1.71K CR:18.82K CW:0 13249ms
Reasoning
Now I've posted comments. Let me review the remaining possible items: the JS helper contract (produtividade dashboard) and the template member block. I decided to skip mostly. But let me double-check the JS helper for one more potential real issue: in `setButtonLoading` fallback, if the button has no child label and no `.pa-prod-analysis__label` and no `span`, the code returns early after disabling; but the finally call `setButtonLoading(button, false)` only re-enables if window.setButtonLoading exists... in fallback: sets disabled=false, toggles class, then label lookup — if no label, `return`. Wait the `return` at `if (!label) return;` is AFTER setting disabled and class toggle, so the button gets re-enabled. OK fine. Now let me also confirm nothing about CSRF - skip. Let me also quickly double-check the actual current file line around template member block to ensure the var usage and that the block is fine; skip comment (style). I need to review each file in the review group one final time mentally: 1. adriana-chart-analysis.js — new shared helper; noted patterns; no clear bug. Maybe check one subtle thing: `escapeHtml` + templates create clickable items? no. 2. PeopleAnalyticsApiController.php — comment posted. 3. ChartAiAnalysisService.php — comment posted. 4. ChartDerivedMetricsCalculator.php — reviewed, changes fine. 5. ChartFilterNormalizer.php — comment posted. 6. ChartResolver.php — no comment, but related to date divergence; comment posted in controller. Should I also note the duplicated rule in ChartResolver itself? The core issue is divergence across layers. Only one comment needed. 7. MemberAnalysisService.php — two comments posted. 8. chart_detail.html.twig — skipped (var is minor, in a legacy script with lots of var). Wait — should I double-check the ChartDerivedMetricsCalculator more for a genuine bug? Look at the diff again: ``` foreach ($data['datasets'] ?? [] as $dataset) { $values = array_filter($dataset['data'] ?? [], 'is_numeric'); $seriesName = $dataset['name'] ?? $dataset['label'] ?? 'Série'; if (isset($metrics['series_metrics'][$seriesName])) { $seriesName .= ' ' . (count($metrics['series_metrics']) + 1); } ... ``` One scenario: dataset A (non-empty) → added to series_metrics under 'A'. dataset B (non-empty) 'B'. dataset A' with same name 'A': isset true → 'A 3'. Now series_metrics will have both 'A' and 'A 3' distinct keys. Fine. Another scenario: dataset A empty (skipped). dataset A again non-empty: series_metrics has no 'A' yet → added as 'A'. Then another dataset 'A' non-empty → suffix 2. OK. The suffix logic is safe. No duplicate keys. Actually wait — there's a subtle bug with the ordering in the second loop `seriesBreakdown`: for `seriesNames` unique, they use the same rename logic. Between the first and second loop, names might change consistently? First loop adds suffixes depending on metrics['series_metrics'] count (which is only non-empty datasets). Second loop iterates series (same collection) and checks `isset($seriesBreakdown[$seriesName])`. seriesBreakdown only includes... it adds each series as it processes. Note: the second loop doesn't skip empty series! First loop `continue`s empty series, but second loop renames using seriesBreakdown of all series and counts all. If dataset A empty then A non-empty: in the second loop, first A added as 'A' with empty values; second A sees 'A' present → 'A 2'. Then series_names uses series array where name = 'A' (empty) and 'A 2'. But metrics['series_metrics'] keys from first loop only has 'A' for the non-empty one. Then seriesBreakdown output... it's just metrics labels; the emptiness results in `total_value` per series. This is all internal to the metrics payload; slight label mismatch possible ('A 2' vs 'A') in self inconsistency. Minor cosmetic; skip. Now, I should consider whether to check `file_read_diff` on produtividade-dashboard.js for the bind usage to ensure the helper works with its chartMap keyed on data-analysis attribute. It was partially reviewed in previous summary. Good. Also check the chart_detail template member block for one potentially real inconsistency: `delete currentFilters.periodo` when no explicit URL period. Suppose autoFilters includes a `periodo`? For analise_de_membro, permission autoFilters only include 'membro' (and maybe more?). determineAutoFilters returns ['membro' => []] for self? Actually if scope self and member_id exists... they keyed by 'membro'. Also possibly company filters include team/area. For team scope, autoFilters has team_ids/area keys + maybe member? Actually analise_de_membro is designed to be filtered by member — autoFilters for company/team scope likely empty (all members). Fine. But there's one more real concern in template: The template unconditionally deletes currentFilters.start_date/end_date when URL has no explicit period, but the member data endpoints (used to render the actual chart on the page) use the same currentFilters minus the dates — this aligns the AI with what's displayed. Fine. Given all review files processed, let me finish by confirming no missing file: adriana-chart-analysis.js got reviewed in detail; controller & services; chart_detail template got reviewed; derived metrics got reviewed. Everything covered. I'll call task_done.
Revisei todos os arquivos do grupo e consolidei os achados. Resumo da revisão: **Achados postados (5):** - **Alta (segurança)** — `MemberAnalysisService`: o fluxo de IA passa a restringir a consulta ao `member_id` vindo do corpo da requisição sem revalidar escopo/permissão (`applyPermissionFilters`/`canViewMember`), abrindo IDOR para usuários self/team analisarem outro colaborador da mesma empresa — inclusive enviando os dados à IA externa. - **Média (bug)** — `PeopleAnalyticsApiController`: regra de remoção de datas diverge do `ChartResolver` e do template; datas explícitas enviadas sem `periodo` são descartadas silenciosamente, podendo analisar período diferente do exibido. - **Baixa** — `ChartFilterNormalizer`: múltiplos `member_ids` são truncados silenciosamente no primeiro item em vez de gerar erro de validação. - **Baixa** — `ChartAiAnalysisService`: guarda de dados insuficientes tem efeito global em todos os módulos com textos específicos de "colaborador", extrapolando o escopo da PR de análise individual. - **Baixa (manutenção)** — `MemberAnalysisService`: catálogo de gráficos duplicado entre dispatch e `chartMetadata` com risco de dessincronização futura. **Verificações sem achado bloqueante:** helper JS compartilhado (`adriana-chart-analysis.js`) tem fallback interno para `setButtonLoading` e usa escape correto antes de injetar no DOM; mudanças no `ChartDerivedMetricsCalculator` são consistentes (fallback `label` + deduplicação de nomes segura); bloco novo no `chart_detail.html.twig` está coerente com o fluxo (uso de `var` acompanha o padrão legado do arquivo, sem impacto funcional).
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{"state": "DONE"}
Request #41 deepseek-v4-flash P:17.72K C:3.38K CR:11.14K CW:0 24242ms
Reasoning
Let me review the code changes carefully. The confirmed findings list 5 issues already found. I need to review all files in the review group and find any OTHER real issues. Let me go through each file: 1. `public/js/people-analytics/modules/adriana-chart-analysis.js` (new file) 2. `src/Controller/PeopleAnalyticsApiController.php` 3. `src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php` 4. `src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php` 5. `src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php` 6. `src/Service/PeopleAnalytics/Chart/ChartResolver.php` 7. `src/Service/PeopleAnalytics/MemberAnalysisService.php` 8. `templates/people_analytics/chart_detail.html.twig` Let me look at potential issues in each. ### adriana-chart-analysis.js New shared helper. Let's examine: - `setButtonLoading`: If there's a global `window.setButtonLoading`, delegate. Otherwise fallback logic. Wait - there's a subtle issue: in `setButtonLoading` fallback path, when `isLoading` false, it restores label from `button.dataset.originalAnalysisLabel`. But it checks `if (!button.dataset.originalAnalysisLabel) { button.dataset.originalAnalysisLabel = label.textContent; }`. Actually that's fine. - Wait — potential issue: `button.dataset.originalAnalysisLabel` only stored when label found. Fine. - `requestAnalysis` uses `options.module` and constructs URL. `chartId` used in `encodeURIComponent(chartId)`. But `getQuestion` may be called with `chartId`. Fine. - Note the ajax call uses a `new Promise` with `$.ajax`. There's a mismatch in the fallback path: In the `.finally()` the setButtonLoading is called with false. Fine. - Escape html on title, summary etc. Renders items with escapeHtml. Looks fine. - The `renderAnalysis` uses innerHTML with escapeHtml for values; static markup otherwise. Fine. - One potential issue: In `bind()`, `$(selector).each(...)`, using `this` and closure over `button`. Multiple bind calls with different modules and same selector could cause conflict: since bound flag `data-adriana-analysis-bound = '1'` is set on the button, if two modules bind to the same selector (unlikely). Not a big deal. - Another: `requestAnalysis` - the fallback question uses default. But the `done` handler checks `json.success !== true`. If the insufficient data response returns `success: true` with `ai_analysis` containing empty data and `ai_provider: null`, then renderAnalysis will render. Fine. - Actually wait, an interesting bug: in the ajax `.done`, when success true but `json.ai_analysis` is null/missing, it resolves `{}`. Then `renderAnalysis` will render header with default title and no lists. Fine-ish. - `setButtonLoading` global delegation: uses `window.setButtonLoading(button, isLoading, loadingText)`. Need to check signature of global helper. Not critical. - Actually a subtle issue: `escapeHtml` uses document.createElement; fine. - Potential issue with `renderAnalysis`: for insufficient data response, `attention_points` is a plain string array? Let's check `insufficientDataResponse` - attention_points is array with one string. Yes fine. - `renderList` receives items as array of strings. In the JS response maybe the analysis fields are objects? Let me check other consumer module (produtividade-dashboard.js) to compare contract. Let me read the other changed files for cross-checking contract. Given user-specified rules mention checking contract with backend changed in the same PR. Let me look at produtividade-dashboard.js diff to understand what the old code did, and how the new module should behave. But produtividade-dashboard.js is in other_changed_files, not review_files, so I shouldn't comment on it but can use as context. Actually, per the Strict Focus Rules, comments must address code within review_files. But I can read other files as context. Let me focus on identifying real issues not in confirmed findings. ### ChartDerivedMetricsCalculator.php New logic: ```php $seriesName = $dataset['name'] ?? $dataset['label'] ?? 'Série'; if (isset($metrics['series_metrics'][$seriesName])) { $seriesName .= ' ' . (count($metrics['series_metrics']) + 1); } ``` Wait, this checks against `$metrics['series_metrics']` keyed by seriesName? Let's read the full file to understand `$metrics` structure. The dedup uses count+1 so first duplicate becomes "Série 1", second duplicate "Série 2" etc. Actually for first collision, count($metrics['series_metrics']) is the current count before inserting. But since multiple datasets with same name each get different suffixes because count increments each time? Let me check: `count($metrics['series_metrics'])` is evaluated at time of check, before the current item is added to the metrics array. If metrics['series_metrics'] is keyed by seriesName and appended after? Need to read the file. Let me read ChartDerivedMetricsCalculator fully. In the second location (seriesBreakdown): ```php $seriesName = $seriesItem['name'] ?? $seriesItem['label'] ?? 'Série'; if (isset($seriesBreakdown[$seriesName])) { $seriesName .= ' ' . (count($seriesBreakdown) + 1); } ``` This one suffixes based on count($seriesBreakdown) + 1 — for first duplicate, count = current number of entries in breakdown. But wait, does the same rename happen in both loops consistently? The first loop renames dataset series for `$metrics['series_metrics']`, but does it store keyed by the renamed name? If the first loop dedups with "name 1" but the second loop dedups with different counts, the names could differ between the metrics array and seriesBreakdown. But more importantly, need to check correctness in terms of matching between derived metrics and chart data for prompt. Also `series_names` array_map uses `$s['name'] ?? $s['label'] ?? 'Série'`. But if duplicates were renamed in `series_metrics` with suffix, the `$series` array names still duplicate. Minor. Potential real bug: The check for duplication uses `isset($metrics['series_metrics'][$seriesName])`. If `series_metrics` is an associative array keyed by name. Let's read. ### ChartFilterNormalizer.php New code: ```php if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) { $normalized['member_id'] = (int) reset($normalized['member_ids']); } ``` Confirmed finding #3 already flagged multi-ID silent pick. Don't repeat. ```php foreach (['memberId', 'company_member_id', 'companyMemberId', 'selected_member_id'] as $memberKey) { if (!isset($normalized['member_id']) && isset($filters[$memberKey]) && is_numeric($filters[$memberKey])) { $normalized['member_id'] = (int) $filters[$memberKey]; } } ``` Here `$filters[$memberKey]` might be a string numeric - `(int)`. If `$filters[$memberKey]` is e.g. `"0"`... whatever. Potential issue: `$filters` keys — note earlier normalization loop may have processed `member`, `members`, `membro` -> member_ids. But what about when filters had key `member_id` already at start? Let's read the full file to see normalization steps. Also: `$keyMappings` keys map plural to single and they unset. Need context. Potential issue: The loop `foreach (['memberId', ...])` reads `$filters[$memberKey]` after the mapping loop has unset things? Need to read file. Actually a potential subtle bug: what if `$filters['member_id']` existed originally? Then mapping loop might not include member_id -> member_ids, maybe it normalizes member_id? Let me read the full file. ### ChartResolver.php New code: ```php if ($module === 'analise_de_membro' && !isset($filters['periodo']) && !isset($filters['start_date']) && !isset($filters['end_date'])) { unset($normalizedFilters['start_date'], $normalizedFilters['end_date']); } ``` This is different from the controller's condition (only checks `periodo`). But `ChartResolver` also has a "start_date"/"end_date" that are keys of raw filters. Hmm. The controller condition: unset when no `periodo` even if start_date present (finding #1). ChartResolver: only unset when none of periodo/start_date/end_date present. Different behavior but that was covered in finding 1. Wait, but note the ChartResolver checks `!isset($filters['periodo'])` — while template, after deletion, may not send periodo. Anyway. Potential issue in ChartResolver: In `getChartData`, the normalizer added member_id fallback. Fine. ### MemberAnalysisService.php Already findings #4 & #5. Others? Let me read the full MemberAnalysisService to understand filters usage after the change. The new code sets `$filters['membro'] = [(int) $memberId];` and `$filters['member_id'] = (int) $memberId;`. Then passes `$filters` to each chart getter. Some getters may expect `filters['membro']` as scalar string previously? Setting to array could break consumers inside the getters if they use `$filters['membro']` elsewhere, e.g., building `member_id = ...`. Need to read MemberAnalysisService and the getters. Potential real bug: `$filters['membro'] = [(int) $memberId];` may alter behavior of methods that pass `$filters` along to other queries (like team chart inclusion, comparing member to team). Let me read the file. ### Controller change `$rawFilters = $data['filters'] ?? [];` then normalizer mutates? Actually normalizer returns new array. The added block unsets start/end in `$filters` (normalized). Confirmed finding #1. ### Template change (chart_detail.html.twig) Adds `{% if module == 'analise_de_membro' %}` block reading URL params, deleting filters. And `memberId = urlParams.get('member_id') || urlParams.get('membro');` sets `currentFilters.member_id = memberId;` — memberId could be array if URL param repeated? `get` returns string. fine. Potential issue: uses `delete currentFilters.periodo;` etc. Also only applies for module === 'analise_de_membro'. OK. But what about `urlParams.get('membro')` — if the URL has `membro[]=1&membro[]=2` then `get` returns '1'. Server normalizes... anyway. ### adriana-chart-analysis.js contract Let me examine cross-file: the JS helper does `POST /people-analytics/api/${module}/chart/${chartId}/ai-analysis` with `filters` and `question`. The template's existing inline script presumably does the same with `currentFilters`. Let me look at the template change context and the produtividade-dashboard.js to compare handling and ensure new helper matches. Wait, but the new module is only used by produtividade-dashboard? Actually "Shared Adriana chart analysis helper for People Analytics dashboards". And produtividade-dashboard.js was modified to use it presumably. chart_detail.html.twig might use it too? The template code modified remains inline? It shows that chart_detail template has inline AJAX that was NOT replaced... but the diff only modifies part of that inline script. OK. Now, focus on finding NEW issues. Let me carefully read each file in full where changes exist to identify problems. Potential NEW issue in `adriana-chart-analysis.js`: In `bind()`, deduplication uses `button.dataset.adrianaAnalysisBound === '1'`; if the same button element matches another module's bind (only one module per page presumably). Fine. Potential NEW issue: the escape `renderList` includes `title` escaped but wraps `<strong>`; okay. Potential issue: The `insufficientDataResponse` returns `success: true` — but its `ai_analysis.attention_points` value is a string array. In normal responses from DeepSeek, key_insights etc. are arrays of strings; front-end escapeHtml applies to each item. For items that are objects (e.g. `recommended_actions` sometimes objects with "action"?), escapeHtml converts to "[object Object]". Not verifiable. Wait — `renderList` filters items with `item.filter(Boolean)`, maps to `<li>${escapeHtml(item)}</li>`. If items are non-string (numbers), fine; if objects, String(object) => "[object Object]". Potential, but need to confirm actual response shape from the backend. Let me search where ai_analysis output is built (DeepSeek parse). Possibly not deterministic. Skip. Potential NEW issue in the JS helper: `setButtonLoading` when falling back to the internal implementation, restores label text when done. But if the label text was altered by an error path that renders into the panel (not the button), no. Fine. Let me consider `requestAnalysis` — the URL path: `/people-analytics/api/${module}/chart/${chartId}/ai-analysis`. In produtividade-dashboard, what is module? `'produtividade'`? And endpoint in controller: route defined with module param. Look at the controller to see route pattern: `/people-analytics/api/{module}/chart/{chartId}/ai-analysis`. In the template chart_detail, endpoint built as `/people-analytics/api/{{ module }}/chart/{{ chart.id }}/ai-analysis`. consistent. Now potential bug: In the JS helper, `chartMap[key]` maps data-analysis key -> chart id. If not found, renderError. But then the button remains disabled? No: early return before setButtonLoading; good. Another: If `requestAnalysis` is rejected because ajax fail, in `.catch` renderError with error.message. Good. Now check the asynchronous success render: If the user clicks a second time on another chart's button while first request is loading, each is independent. Fine. Consider the loading state: for panels that do not exist yet, getOrCreatePanel appends panel each time once. fine. Potential race: Click button, then button disabled during loading; after done re-enabled. Fine. Now let me read the actual files to catch PHP issues. Let me read ChartDerivedMetricsCalculator fully, ChartFilterNormalizer fully, MemberAnalysisService fully, and relevant sections of ChartAiAnalysisService (quality flags) and ChartResolver. I'll start reading.
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{"file_path": "src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php"}
File: src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php (Total lines: 436)
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1|<?php
2|
3|namespace App\Service\PeopleAnalytics\Chart;
4|
5|/**
6| * Calcula métricas derivadas dos dados canonizados
7| * Todas as métricas numéricas são calculadas aqui para evitar que a IA invente números
8| */
9|class ChartDerivedMetricsCalculator
10|{
11|    /**
12|     * Calcula métricas derivadas baseado no canonical_shape
13|     * 
14|     * @param array $canonical Data canonizado
15|     * @param string $shape Tipo do canonical_shape
16|     * @return array Métricas calculadas
17|     */
18|    public function calculate(array $canonicalData, string $shape): array
19|    {
20|        $method = 'calculate' . ucfirst(str_replace('_', '', $shape)) . 'Metrics';
21|        
22|        if (!method_exists($this, $method)) {
23|            return [];
24|        }
25|        
26|        return $this->$method($canonicalData);
27|    }
28|
29|    /**
30|     * Calcula métricas para time_series
31|     */
32|    private function calculateTimeseriesMetrics(array $data): array
33|    {
34|        $metrics = [
35|            'total_periods' => count($data['labels'] ?? []),
36|            'series_metrics' => []
37|        ];
38|
39|        foreach ($data['datasets'] ?? [] as $dataset) {
40|            $values = array_filter($dataset['data'] ?? [], 'is_numeric');
41|            $seriesName = $dataset['name'] ?? $dataset['label'] ?? 'Série';
42|            if (isset($metrics['series_metrics'][$seriesName])) {
43|                $seriesName .= ' ' . (count($metrics['series_metrics']) + 1);
44|            }
45|
46|            if (empty($values)) {
47|                continue;
48|            }
49|
50|            $firstValue = reset($values);
51|            $lastValue = end($values);
52|
53|            $metrics['series_metrics'][$seriesName] = [
54|                'first_value' => $firstValue,
55|                'last_value' => $lastValue,
56|                'min_value' => min($values),
57|                'max_value' => max($values),
58|                'avg_value' => round(array_sum($values) / count($values), 2),
59|                'change_absolute' => $lastValue - $firstValue,
60|                'change_percent' => $firstValue != 0 ? round((($lastValue - $firstValue) / $firstValue) * 100, 2) : null,
61|                'total_points' => count($values)
62|            ];
63|
64|            // Tendência (simples: positiva, negativa, estável)
65|            $change = $lastValue - $firstValue;
66|            if (abs($change) < (abs($firstValue) * 0.05)) {
67|                $metrics['series_metrics'][$seriesName]['trend'] = 'estável';
68|            } elseif ($change > 0) {
69|                $metrics['series_metrics'][$seriesName]['trend'] = 'crescente';
70|            } else {
71|                $metrics['series_metrics'][$seriesName]['trend'] = 'decrescente';
72|            }
73|        }
74|
75|        return $metrics;
76|    }
77|
78|    /**
79|     * Calcula métricas para category_series
80|     */
81|    private function calculateCategoryseriesMetrics(array $data): array
82|    {
83|        $categories = $data['categories'] ?? [];
84|        $series = $data['series'] ?? [];
85|
86|        if (empty($series) || empty($categories)) {
87|            return [];
88|        }
89|
90|        // Extrair valores numéricos (podem ser diretos ou arrays com 'y')
91|        $allSeriesData = [];
92|        foreach ($series as $seriesItem) {
93|            $seriesData = $seriesItem['data'] ?? [];
94|            foreach ($seriesData as $value) {
95|                if (is_numeric($value)) {
96|                    $allSeriesData[] = $value;
97|                } elseif (is_array($value) && isset($value['y']) && is_numeric($value['y'])) {
98|                    $allSeriesData[] = $value['y'];
99|                }
100|            }
101|        }
102|
103|        // Pegar primeira série para análise (assumindo série principal)
104|        $mainSeries = $series[0];
105|        $rawValues = $mainSeries['data'] ?? [];
106|        
107|        // Normalizar valores (podem ser números diretos ou arrays com 'y')
108|        $values = [];
109|        foreach ($rawValues as $val) {
110|            if (is_numeric($val)) {
111|                $values[] = $val;
112|            } elseif (is_array($val) && isset($val['y']) && is_numeric($val['y'])) {
113|                $values[] = $val['y'];
114|            }
115|        }
116|
117|        if (empty($values)) {
118|            return [];
119|        }
120|
121|        $total = array_sum($values);
122|        $maxValue = max($values);
123|        $maxIndex = array_search($maxValue, $values);
124|        
125|        $minValue = min($values);
126|        $minIndex = array_search($minValue, $values);
127|
128|        $metrics = [
129|            'total_value' => $total,
130|            'category_count' => count($categories),
131|            'series_count' => count($series),
132|            'series_names' => array_map(fn($s) => $s['name'] ?? $s['label'] ?? 'Série', $series),
133|            'top_category' => $categories[$maxIndex] ?? null,
134|            'top_value' => $maxValue,
135|            'top_share' => $total > 0 ? round(($maxValue / $total) * 100, 2) : 0,
136|            'bottom_category' => $categories[$minIndex] ?? null,
137|            'bottom_value' => $minValue,
138|            'avg_value' => round($total / count($values), 2),
139|            'all_series_total' => !empty($allSeriesData) ? array_sum($allSeriesData) : $total
140|        ];
141|        
142|        // Adicionar totais por série
143|        $seriesBreakdown = [];
144|        foreach ($series as $seriesItem) {
145|            $seriesName = $seriesItem['name'] ?? $seriesItem['label'] ?? 'Série';
146|            if (isset($seriesBreakdown[$seriesName])) {
147|                $seriesName .= ' ' . (count($seriesBreakdown) + 1);
148|            }
149|            $seriesValues = [];
150|            foreach ($seriesItem['data'] ?? [] as $val) {
151|                if (is_numeric($val)) {
152|                    $seriesValues[] = $val;
153|                } elseif (is_array($val) && isset($val['y']) && is_numeric($val['y'])) {
154|                    $seriesValues[] = $val['y'];
155|                }
156|            }
157|            if (!empty($seriesValues)) {
158|                $seriesTotal = array_sum($seriesValues);
159|                $seriesBreakdown[$seriesName] = [
160|                    'total' => $seriesTotal,
161|                    'avg' => round($seriesTotal / count($seriesValues), 2),
162|                    'percentage' => !empty($allSeriesData) ? round(($seriesTotal / array_sum($allSeriesData)) * 100, 2) : 0
163|                ];
164|            }
165|        }
166|        $metrics['series_breakdown'] = $seriesBreakdown;
167|
168|        // Concentração: soma dos top 3
169|        arsort($values);
170|        $topThree = array_slice($values, 0, min(3, count($values)), true);
171|        $topThreeSum = array_sum($topThree);
172|        $metrics['top_3_concentration'] = $total > 0 ? round(($topThreeSum / $total) * 100, 2) : 0;
173|
174|        // Verificar se tem categoria "Não informado" ou similar
175|        foreach ($categories as $index => $category) {
176|            if (in_array(strtolower($category), ['não informado', 'desconhecido', 'outros', 'n/a', 'null'])) {
177|                $unknownValue = $values[$index] ?? 0;
178|                $metrics['unknown_count'] = $unknownValue;
179|                $metrics['unknown_share'] = $total > 0 ? round(($unknownValue / $total) * 100, 2) : 0;
180|                break;
181|            }
182|        }
183|
184|        return $metrics;
185|    }
186|
187|    /**
188|     * Calcula métricas para heatmap
189|     */
190|    private function calculateHeatmapMetrics(array $data): array
191|    {
192|        $xCategories = $data['xCategories'] ?? [];
193|        $yCategories = $data['yCategories'] ?? [];
194|        $cellData = $data['data'] ?? [];
195|
196|        if (empty($cellData)) {
197|            return [];
198|        }
199|
200|        $values = array_column($cellData, 'value');
201|        $values = array_filter($values, 'is_numeric');
202|
203|        if (empty($values)) {
204|            return [];
205|        }
206|
207|        $maxValue = max($values);
208|        $minValue = min($values);
209|
210|        // Encontrar células com valores máximo e mínimo
211|        $maxCell = null;
212|        $minCell = null;
213|
214|        foreach ($cellData as $cell) {
215|            if (isset($cell['value']) && $cell['value'] === $maxValue) {
216|                $maxCell = [
217|                    'x' => $xCategories[$cell['x']] ?? $cell['x'],
218|                    'y' => $yCategories[$cell['y']] ?? $cell['y'],
219|                    'value' => $maxValue
220|                ];
221|            }
222|            if (isset($cell['value']) && $cell['value'] === $minValue) {
223|                $minCell = [
224|                    'x' => $xCategories[$cell['x']] ?? $cell['x'],
225|                    'y' => $yCategories[$cell['y']] ?? $cell['y'],
226|                    'value' => $minValue
227|                ];
228|            }
229|        }
230|
231|        return [
232|            'total_cells' => count($cellData),
233|            'max_value' => $maxValue,
234|            'min_value' => $minValue,
235|            'avg_value' => round(array_sum($values) / count($values), 2),
236|            'best_cell' => $maxCell,
237|            'worst_cell' => $minCell,
238|            'x_categories_count' => count($xCategories),
239|            'y_categories_count' => count($yCategories)
240|        ];
241|    }
242|
243|    /**
244|     * Calcula métricas para boxplot
245|     */
246|    private function calculateBoxplotMetrics(array $data): array
247|    {
248|        $categories = $data['categories'] ?? [];
249|        $boxData = $data['data'] ?? [];
250|
251|        if (empty($boxData)) {
252|            return [];
253|        }
254|
255|        $medians = [];
256|        $iqrs = [];
257|
258|        foreach ($boxData as $index => $box) {
259|            if (isset($box['median'])) {
260|                $category = $categories[$index] ?? $box['label'] ?? "Categoria $index";
261|                $medians[$category] = $box['median'];
262|                
263|                if (isset($box['q1']) && isset($box['q3'])) {
264|                    $iqrs[$category] = $box['q3'] - $box['q1'];
265|                }
266|            }
267|        }
268|
269|        $metrics = [
270|            'group_count' => count($boxData),
271|            'medians' => $medians
272|        ];
273|
274|        if (!empty($medians)) {
275|            $highestMedian = max($medians);
276|            $lowestMedian = min($medians);
277|            
278|            $metrics['highest_median_group'] = array_search($highestMedian, $medians);
279|            $metrics['highest_median_value'] = $highestMedian;
280|            $metrics['lowest_median_group'] = array_search($lowestMedian, $medians);
281|            $metrics['lowest_median_value'] = $lowestMedian;
282|        }
283|
284|        if (!empty($iqrs)) {
285|            $metrics['dispersion'] = $iqrs;
286|            $highestIQR = max($iqrs);
287|            $metrics['most_dispersed_group'] = array_search($highestIQR, $iqrs);
288|            $metrics['most_dispersed_value'] = $highestIQR;
289|        }
290|
291|        return $metrics;
292|    }
293|
294|    /**
295|     * Calcula métricas para scatter
296|     */
297|    private function calculateScatterMetrics(array $data): array
298|    {
299|        $series = $data['series'] ?? [];
300|
301|        if (empty($series)) {
302|            return [];
303|        }
304|
305|        $allPoints = [];
306|        foreach ($series as $serie) {
307|            $allPoints = array_merge($allPoints, $serie['data'] ?? []);
308|        }
309|
310|        if (empty($allPoints)) {
311|            return [];
312|        }
313|
314|        // Calcular correlação simples
315|        $xValues = array_column($allPoints, 'x');
316|        $yValues = array_column($allPoints, 'y');
317|
318|        $correlation = $this->calculateCorrelation($xValues, $yValues);
319|
320|        return [
321|            'total_points' => count($allPoints),
322|            'series_count' => count($series),
323|            'correlation' => round($correlation, 3),
324|            'correlation_strength' => $this->interpretCorrelation($correlation)
325|        ];
326|    }
327|
328|    /**
329|     * Calcula métricas para funnel
330|     */
331|    private function calculateFunnelMetrics(array $data): array
332|    {
333|        $stages = $data['stages'] ?? [];
334|
335|        if (empty($stages)) {
336|            return [];
337|        }
338|
339|        $stageCounts = [];
340|        $conversionRates = [];
341|        $drops = [];
342|
343|        foreach ($stages as $index => $stage) {
344|            $stageCounts[$stage['name']] = $stage['value'];
345|
346|            if ($index > 0) {
347|                $previousValue = $stages[$index - 1]['value'];
348|                $currentValue = $stage['value'];
349|                
350|                $conversionRate = $previousValue > 0 
351|                    ? round(($currentValue / $previousValue) * 100, 2) 
352|                    : 0;
353|                
354|                $conversionRates[$stage['name']] = $conversionRate;
355|                $drops[$stage['name']] = $previousValue - $currentValue;
356|            }
357|        }
358|
359|        // Encontrar maior queda
360|        $biggestDrop = !empty($drops) ? max($drops) : 0;
361|        $biggestDropStage = !empty($drops) ? array_search($biggestDrop, $drops) : null;
362|
363|        // Taxa de conversão global (primeiro para último)
364|        $firstValue = $stages[0]['value'] ?? 0;
365|        $lastValue = $stages[count($stages) - 1]['value'] ?? 0;
366|        $overallConversion = $firstValue > 0 
367|            ? round(($lastValue / $firstValue) * 100, 2) 
368|            : 0;
369|
370|        return [
371|            'stage_count' => count($stages),
372|            'stage_counts' => $stageCounts,
373|            'conversion_rates' => $conversionRates,
374|            'drops' => $drops,
375|            'biggest_drop_stage' => $biggestDropStage,
376|            'biggest_drop_value' => $biggestDrop,
377|            'overall_conversion' => $overallConversion,
378|            'initial_volume' => $firstValue,
379|            'final_volume' => $lastValue
380|        ];
381|    }
382|
383|    /**
384|     * Calcula correlação de Pearson simples
385|     */
386|    private function calculateCorrelation(array $x, array $y): float
387|    {
388|        $n = count($x);
389|        
390|        if ($n === 0 || $n !== count($y)) {
391|            return 0;
392|        }
393|
394|        $sumX = array_sum($x);
395|        $sumY = array_sum($y);
396|        $sumXY = 0;
397|        $sumX2 = 0;
398|        $sumY2 = 0;
399|
400|        for ($i = 0; $i < $n; $i++) {
401|            $sumXY += $x[$i] * $y[$i];
402|            $sumX2 += $x[$i] * $x[$i];
403|            $sumY2 += $y[$i] * $y[$i];
404|        }
405|
406|        $numerator = ($n * $sumXY) - ($sumX * $sumY);
407|        $denominator = sqrt((($n * $sumX2) - ($sumX * $sumX)) * (($n * $sumY2) - ($sumY * $sumY)));
408|
409|        if ($denominator == 0) {
410|            return 0;
411|        }
412|
413|        return $numerator / $denominator;
414|    }
415|
416|    /**
417|     * Interpreta força da correlação
418|     */
419|    private function interpretCorrelation(float $r): string
420|    {
421|        $abs = abs($r);
422|        
423|        if ($abs >= 0.7) {
424|            return 'forte';
425|        } elseif ($abs >= 0.4) {
426|            return 'moderada';
427|        } elseif ($abs >= 0.2) {
428|            return 'fraca';
429|        } else {
430|            return 'muito fraca';
431|        }
432|    }
433|}
434|
435|
436|
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{"file_path": "src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php"}
File: src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php (Total lines: 223)
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1|<?php
2|
3|namespace App\Service\PeopleAnalytics\Chart;
4|
5|/**
6| * Normaliza filtros para formato consistente
7| * Converte diferentes formatos de entrada em estrutura padronizada
8| */
9|class ChartFilterNormalizer
10|{
11|    /**
12|     * Normaliza filtros aplicados
13|     * 
14|     * @param array $filters Filtros brutos da requisição
15|     * @return array Filtros normalizados
16|     */
17|    public function normalize(array $filters): array
18|    {
19|        $normalized = [];
20|
21|        // 1. Normalizar período textual para datas
22|        if (isset($filters['periodo']) && is_string($filters['periodo'])) {
23|            $dates = $this->resolvePeriodFilter($filters['periodo']);
24|            if ($dates) {
25|                $normalized['start_date'] = $dates['start_date'];
26|                $normalized['end_date'] = $dates['end_date'];
27|            }
28|            unset($filters['periodo']);
29|        }
30|
31|        // 2. Garantir que start_date e end_date existam
32|        if (!isset($filters['start_date']) || !isset($filters['end_date'])) {
33|            $defaultDates = $this->getDefaultDates();
34|            $normalized['start_date'] = $filters['start_date'] ?? $defaultDates['start_date'];
35|            $normalized['end_date'] = $filters['end_date'] ?? $defaultDates['end_date'];
36|        } else {
37|            $normalized['start_date'] = $filters['start_date'];
38|            $normalized['end_date'] = $filters['end_date'];
39|        }
40|
41|        // 3. Normalizar arrays de IDs
42|        $arrayFields = [
43|            'team_ids',
44|            'team_group_ids',
45|            'member_ids',
46|            'cost_center_ids',
47|            'supplier_ids',
48|            'category_ids',
49|            'status',
50|            'gender',
51|            'age_range',
52|            'education_level'
53|        ];
54|
55|        foreach ($arrayFields as $field) {
56|            if (isset($filters[$field])) {
57|                $normalized[$field] = $this->normalizeToArray($filters[$field]);
58|            }
59|        }
60|
61|        // 4. Normalizar IDs únicos para int
62|        $intFields = [
63|            'company_id',
64|            'team_id',
65|            'team_group_id',
66|            'member_id',
67|            'cost_center_id'
68|        ];
69|
70|        foreach ($intFields as $field) {
71|            if (isset($filters[$field])) {
72|                $normalized[$field] = (int) $filters[$field];
73|            }
74|        }
75|
76|        // 5. Mapear chaves alternativas
77|        $keyMappings = [
78|            'time_id' => 'team_ids',
79|            'team' => 'team_ids',
80|            'teams' => 'team_ids',
81|            'area' => 'team_group_ids',
82|            'areas' => 'team_group_ids',
83|            'membro' => 'member_ids',
84|            'member' => 'member_ids',
85|            'members' => 'member_ids',
86|        ];
87|
88|        foreach ($keyMappings as $oldKey => $newKey) {
89|            if (isset($filters[$oldKey])) {
90|                $value = $this->normalizeToArray($filters[$oldKey]);
91|                if (!isset($normalized[$newKey])) {
92|                    $normalized[$newKey] = $value;
93|                } else {
94|                    $normalized[$newKey] = array_unique(array_merge($normalized[$newKey], $value));
95|                }
96|            }
97|        }
98|
99|        if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) {
100|            $normalized['member_id'] = (int) reset($normalized['member_ids']);
101|        }
102|
103|        foreach (['memberId', 'company_member_id', 'companyMemberId', 'selected_member_id'] as $memberKey) {
104|            if (!isset($normalized['member_id']) && isset($filters[$memberKey]) && is_numeric($filters[$memberKey])) {
105|                $normalized['member_id'] = (int) $filters[$memberKey];
106|            }
107|        }
108|
109|        // 6. Copiar outros filtros não processados
110|        foreach ($filters as $key => $value) {
111|            if (!isset($normalized[$key]) && !in_array($key, array_keys($keyMappings))) {
112|                $normalized[$key] = $value;
113|            }
114|        }
115|
116|        return $normalized;
117|    }
118|
119|    /**
120|     * Resolve período textual para datas
121|     */
122|    private function resolvePeriodFilter(string $period): ?array
123|    {
124|        $endDate = new \DateTime();
125|        $startDate = new \DateTime();
126|
127|        switch ($period) {
128|            case 'ultimo_mes':
129|            case 'last_month':
130|                $startDate->modify('-1 month');
131|                break;
132|
133|            case 'ultimo_trimestre':
134|            case 'last_quarter':
135|                $startDate->modify('-3 months');
136|                break;
137|
138|            case 'ultimo_semestre':
139|            case 'last_semester':
140|                $startDate->modify('-6 months');
141|                break;
142|
143|            case 'ultimo_ano':
144|            case 'last_year':
145|                $startDate->modify('-1 year');
146|                break;
147|
148|            case 'ultimos_30_dias':
149|            case 'last_30_days':
150|                $startDate->modify('-30 days');
151|                break;
152|
153|            case 'ultimos_90_dias':
154|            case 'last_90_days':
155|                $startDate->modify('-90 days');
156|                break;
157|
158|            case 'este_mes':
159|            case 'this_month':
160|                $startDate = new \DateTime('first day of this month');
161|                break;
162|
163|            case 'este_ano':
164|            case 'this_year':
165|                $startDate = new \DateTime('first day of January this year');
166|                break;
167|
168|            default:
169|                return null;
170|        }
171|
172|        return [
173|            'start_date' => $startDate->format('Y-m-d'),
174|            'end_date' => $endDate->format('Y-m-d')
175|        ];
176|    }
177|
178|    /**
179|     * Obtém datas padrão (último mês)
180|     */
181|    private function getDefaultDates(): array
182|    {
183|        $endDate = new \DateTime();
184|        // Usar 6 meses para ter dados suficientes para análise de IA sem ser muito restritivo
185|        $startDate = (new \DateTime())->modify('-6 months');
186|
187|        return [
188|            'start_date' => $startDate->format('Y-m-d'),
189|            'end_date' => $endDate->format('Y-m-d')
190|        ];
191|    }
192|
193|    /**
194|     * Normaliza valor para array
195|     */
196|    private function normalizeToArray($value): array
197|    {
198|        if (is_array($value)) {
199|            return array_map('intval', array_filter($value));
200|        }
201|
202|        if (is_string($value)) {
203|            // Se for string com vírgulas, separar
204|            if (strpos($value, ',') !== false) {
205|                return array_map('intval', explode(',', $value));
206|            }
207|            // Se for string numérica, converter para int
208|            if (is_numeric($value)) {
209|                return [(int) $value];
210|            }
211|            return [$value];
212|        }
213|
214|        if (is_numeric($value)) {
215|            return [(int) $value];
216|        }
217|
218|        return [];
219|    }
220|}
221|
222|
223|
Request #42 deepseek-v4-flash P:27.81K C:2.04K CR:20.99K CW:0 15222ms
Reasoning
Let me examine potential issues. **ChartDerivedMetricsCalculator.php**: For `calculateTimeseriesMetrics`: ```php $seriesName = $dataset['name'] ?? $dataset['label'] ?? 'Série'; if (isset($metrics['series_metrics'][$seriesName])) { $seriesName .= ' ' . (count($metrics['series_metrics']) + 1); } ``` Wait, the dedup only appends a suffix if the name is ALREADY in `series_metrics`. But `series_metrics` only gets an entry when `$values` is non-empty. Also if two series share the same name but first series was empty, second non-empty, then no suffix — fine. But consider: two series both named "Série" (default because no name/label). First series gets `series_metrics['Série']`. Second series: name "Série" is already set, so becomes "Série 1"? count($metrics['series_metrics']) = 1 at that point; so "Série 1". Third: name "Série" is set, count = 2, so "Série 2". OK consistent. However — subtle bug: when name matches, suffix computed but the check uses `isset(...)`, but after first rename, subsequent duplicate is checked against the ORIGINAL name, not the renamed one. Eg dataset1 "Série", dataset2 "Série" -> "Série 1", dataset3 "Série" -> count now 2 -> "Série 2". Good, no collision with "Série 1". But what if original dataset name literally "Série 1"? dataset1 "Série 1" (real), dataset2 "Série" collides -> "Série 2", no collision. Wait count = 1 when dataset1 "Série 1" exists so second would become "Série 1" which collides with first real "Série 1"! Let's trace: - dataset A name "Série 1": `series_metrics['Série 1']` set (first non-empty). count = 1. - dataset B name "Série": not in series_metrics? No — "Série" is not set. So no suffix; set `series_metrics['Série']`. - dataset C name "Série 1": exists! suffix " " . (count+1) where count = 2 -> "Série 1 3". Hmm ugly but no collision. Edge: dataset A "Série", dataset B "Série 1", dataset C "Série": A sets 'Série' (count1). B sets 'Série 1' (no collision at check time since 'Série 1' not set). C: 'Série' set, count = 2, becomes 'Série 3'. OK. That's quite edge-casey; not worth reporting. Now the key NEW issue: dedup logic in the first loop and in `seriesBreakdown` (category_series) uses `count($seriesBreakdown) + 1`. But the initial collision case: seriesBreakdown only gets entries for non-empty series (added condition `if (!empty($seriesValues))`). The counter increments only when stored. Fine. But wait, there's a bigger inconsistency: In `category_series`, the dedup uses names, but `series_names` array_map at line 132 returns raw (possibly duplicate) names. Not fatal. I think these are non-issues, low value. Actually let me look for the actual bug this PR intended to fix: series with `label` instead of `name`. The Chart Ai payload sends chart_data in some canonical shape; datasets with `label` key. Previously `$dataset['name'] ?? 'Série'` — with label present but no name, all defaulted to 'Série', which then would... hmm, in timeseries, two series both default 'Série'; in the metrics array, second would overwrite first key 'Série' (since array key same). With old code, no dedup: `series_metrics['Série']` overwritten. But that old behavior existed before. Wait actually there's a subtle thing: Old code: `$seriesName = $dataset['name'] ?? 'Série';`. Since there's no dedup, if two datasets have the same name (or both missing name), the second overwrites the first in `series_metrics`. New code dedups. That's fine/better. Now potential NEW issue in `calculateTimeseriesMetrics`: **The dedup check uses `isset($metrics['series_metrics'][$seriesName])`, but if the first dataset with a given name has all empty values, it `continue`s without inserting**; second dataset same name with values inserts under the base name. No problem. Let me think about a genuinely reportable bug: when duplicate names are resolved, they append `count+1` computed from the number of already-stored entries, NOT necessarily from number of series with that same base name. If there are 3 series "A", "B", "C" where "B" appears twice with values... Suppose all share the same name "produtividade" (two series). First stored as "produtividade". Second becomes "produtividade 2" (count=1). That is consistent. But if there's an intervening series with a different name, the suffix could be e.g. "produtividade 3". Not incorrect, just cosmetic. Skip. Now check the category_series dedup: It's only relevant if duplicate labels exist, which is the member analysis "chart-carga-produtividade" maybe returns series with labels. Fine. Now — a real potential bug in the two dedup loops: they check for duplicates using `isset()` on arrays whose values are set AFTER the empty-check. In timeseries: values checked first (empty -> continue), then set. If the first dataset with duplicate name has empty values, it continues without setting key, and the second with values sets base name. Fine. But actually wait: In timeseries dedup: it modifies `$seriesName` BEFORE checking `empty($values)`. If series name duplicates but values are empty -> continue anyway, doesn't matter. Consider scenario where the same name appears twice both with values: second gets suffix " 2", consistent. Good. Now let me examine the category_series where dedup introduced but `series_names` still raw names. It's just for prompt content — the AI will see series_names duplicates but breakdown keys unique. Minor inconsistency maybe not worth flagging. **ChartFilterNormalizer** new code: ```php foreach (['memberId', 'company_member_id', 'companyMemberId', 'selected_member_id'] as $memberKey) { if (!isset($normalized['member_id']) && isset($filters[$memberKey]) && is_numeric($filters[$memberKey])) { $normalized['member_id'] = (int) $filters[$memberKey]; } } ``` Note this runs after the keyMappings loop. If `$filters['membro']` was set, keyMappings converted it to `member_ids`, and then member_id gets first of member_ids. If `memberId` numeric set too, then member_id set already from member_ids? Not necessarily — member_ids empty array could be `[]` when membro present but empty. Edge. Potential security concern (finding 4 mentions no authorization check on memberId chosen). But finding 4 covers the service side. There may still be an issue of company isolation: the memberId provided is used to query a member without checking that the member belongs to the user's company. However, presumably the underlying queries filter by company context. Might be covered by "controller + ChartResolver não valida". I shouldn't repeat. One NEW possible issue: the integer cast `(int) reset($normalized['member_ids'])`. If member_ids contains a non-numeric string (e.g., from `normalizeToArray` where a non-numeric string returns `[$value]` — actually normalizeToArray returns `[(int)$value]` for numeric strings but for non-numeric strings returns `[$value]` with original string). Then `(int)` of "abc" = 0 -> member_id=0. But those non-numeric entries are unusual. Actually in normalizeToArray, `array_filter($value)` removes 0s from arrays of ints and non-empty values; but strings "0" pass filter (non-empty) then intval -> 0... Wait `array_map('intval', array_filter($value))` — if array contains `0` value, array_filter removes it (falsy). If contains "0" string, filter keeps (non-empty string), intval -> 0. Hmm, array_filter on array [0, 5] removes 0. So member_ids from a numeric array with a 0 member would drop. Not relevant. I think ChartFilterNormalizer mostly covered by confirmed finding 3. Let me now read MemberAnalysisService fully and ChartResolver relevant region and ChartAiAnalysisService quality flags context.
Tool Calls (2)
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{"file_path": "src/Service/PeopleAnalytics/MemberAnalysisService.php"}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php (Total lines: 2857)
IS_TRUNCATED: true
LINE_RANGE: 1-500
1|<?php
2|
3|namespace App\Service\PeopleAnalytics;
4|
5|use App\Service\UserAccessService;
6|use Doctrine\ORM\EntityManagerInterface;
7|
8|/**
9| * Service para Análise Individual de Membro
10| * 
11| * Responsável por agregar e calcular métricas individuais de desempenho,
12| * carga de trabalho, entregas e comparações com a equipe.
13| * 
14| * Gráficos implementados:
15| * 1. Linha de Desempenho (score x tempo)
16| * 2. Carga de Trabalho vs Produtividade (horas vs score)
17| * 3. Rosca de Tempo por Tipo de Atividade
18| * 4. Barras de Entregas por Projeto
19| * 5. Boxplot de Produtividade por Equipe + Membro Destacado
20| * 6. Ranking de Produtividade (membros x score)
21| * 7. Scatter Membro × Time Produtividade vs Ausência
22| * 
23| * @TODO: Gráficos 8 e 9 serão implementados em fase futura (retrabalho e taxa de retrabalho)
24| */
25|class MemberAnalysisService
26|{
27|    public function __construct(
28|        private EntityManagerInterface $em,
29|        private UserAccessService $userAccess
30|    ) {}
31|
32|    /**
33|     * Retorna o EntityManager (usado pelo Controller)
34|     */
35|    public function getEntityManager(): EntityManagerInterface
36|    {
37|        return $this->em;
38|    }
39|
40|    /**
41|     * Método genérico para buscar dados de qualquer gráfico do módulo
42|     * Usado pelo ChartResolver para análise de IA
43|     * 
44|     * @param string $chartId ID do gráfico
45|     * @param array $filters Filtros normalizados (deve incluir member_id)
46|     * @return array Dados do gráfico
47|     * @throws \InvalidArgumentException Se o chartId não existir
48|     */
49|    public function getChartData(string $chartId, array $filters): array
50|    {
51|        $memberId = $filters['member_id'] ?? $filters['membro'] ?? null;
52|        if (!$memberId && !empty($filters['member_ids'])) {
53|            $memberId = reset($filters['member_ids']);
54|        }
55|        if (!$memberId) {
56|            throw new \InvalidArgumentException("member_id é obrigatório nos filtros para análise de membro");
57|        }
58|
59|        $filters['member_id'] = (int) $memberId;
60|        $filters['membro'] = [(int) $memberId];
61|
62|        $chartData = match($chartId) {
63|            'chart-linha-desempenho' => $this->getPerformanceLine($memberId, $filters),
64|            'chart-carga-produtividade' => $this->getWorkloadVsProductivity($memberId, $filters),
65|            'chart-tempo-atividade-membro' => $this->getTimeByActivityType($memberId, $filters),
66|            'chart-entregas-projeto' => $this->getDeliveriesByProject($memberId, $filters),
67|            'chart-boxplot-equipe-membro' => $this->getTeamBoxplotWithMember($memberId, $filters),
68|            'chart-ranking-produtividade' => $this->getProductivityRanking($memberId, $filters),
69|            'chart-scatter-prod-ausencia' => $this->getProductivityVsAbsenceScatter($memberId, $filters),
70|            default => throw new \InvalidArgumentException("Gráfico não encontrado: {$chartId}")
71|        };
72|
73|        return array_merge($this->chartMetadata($chartId), $chartData);
74|    }
75|
76|    private function chartMetadata(string $chartId): array
77|    {
78|        return match ($chartId) {
79|            'chart-linha-desempenho' => ['title' => 'Linha de Desempenho', 'type' => 'line'],
80|            'chart-carga-produtividade' => ['title' => 'Carga de Trabalho vs Produtividade', 'type' => 'line'],
81|            'chart-tempo-atividade-membro' => ['title' => 'Tempo por Tipo de Atividade', 'type' => 'donut'],
82|            'chart-entregas-projeto' => ['title' => 'Entregas por Projeto', 'type' => 'bar'],
83|            'chart-boxplot-equipe-membro' => ['title' => 'Produtividade da Equipe com Membro Destacado', 'type' => 'boxplot'],
84|            'chart-ranking-produtividade' => ['title' => 'Ranking de Produtividade', 'type' => 'bar'],
85|            'chart-scatter-prod-ausencia' => ['title' => 'Produtividade vs Ausência', 'type' => 'scatter'],
86|            default => ['title' => 'Análise Individual', 'type' => 'unknown'],
87|        };
88|    }
89|
90|    // ==========================================
91|    // HELPER - CONVERSÃO DE FILTRO DE PERÍODO
92|    // ==========================================
93|    
94|    /**
95|     * Converte o filtro 'periodo' em datas start_date e end_date
96|     * 
97|     * Valores suportados:
98|     * - 'hoje' → hoje
99|     * - 'ontem' → ontem
100|     * - 'esta-semana' → semana atual (seg-dom)
101|     * - 'semana-passada' → semana anterior
102|     * - 'este-mes' → mês atual
103|     * - 'mes-passado' → mês anterior
104|     * - 'ultimo-mes' → últimos 30 dias
105|     * - 'ultimos-3-meses' → últimos 90 dias
106|     * - 'este-trimestre' → trimestre atual (Jan-Mar, Abr-Jun, Jul-Set, Out-Dez)
107|     * - 'trimestre-passado' → trimestre anterior
108|     * - 'ultimo-trimestre' → últimos 90 dias
109|     * - 'este-ano' → ano atual (Jan 1 - Dez 31)
110|     * - 'ano-passado' → ano anterior
111|     * - 'ultimo-ano' → últimos 365 dias
112|     * 
113|     * @param string $periodo Valor do filtro de período
114|     * @return array|null ['start_date' => string, 'end_date' => string] ou null se inválido
115|     */
116|    private function resolvePeriodFilter(string $periodo): ?array
117|    {
118|        $now = new \DateTime();
119|        $startDate = null;
120|        $endDate = clone $now;
121|        
122|        switch ($periodo) {
123|            case 'hoje':
124|                $startDate = clone $now;
125|                break;
126|                
127|            case 'ontem':
128|                $startDate = (clone $now)->modify('-1 day');
129|                $endDate = (clone $now)->modify('-1 day');
130|                break;
131|                
132|            case 'esta-semana':
133|                $startDate = (clone $now)->modify('monday this week');
134|                break;
135|                
136|            case 'semana-passada':
137|                $startDate = (clone $now)->modify('monday last week');
138|                $endDate = (clone $now)->modify('sunday last week');
139|                break;
140|                
141|            case 'este-mes':
142|                $startDate = (clone $now)->modify('first day of this month');
143|                break;
144|                
145|            case 'mes-passado':
146|                $startDate = (clone $now)->modify('first day of last month');
147|                $endDate = (clone $now)->modify('last day of last month');
148|                break;
149|                
150|            case 'ultimo-mes':
151|                $startDate = (clone $now)->modify('-30 days');
152|                break;
153|                
154|            case 'ultimos-3-meses':
155|                $startDate = (clone $now)->modify('-90 days');
156|                break;
157|                
158|            case 'este-trimestre':
159|                $currentMonth = (int)$now->format('n');
160|                $quarterStartMonth = floor(($currentMonth - 1) / 3) * 3 + 1;
161|                $startDate = (clone $now)->setDate((int)$now->format('Y'), (int)$quarterStartMonth, 1);
162|                break;
163|                
164|            case 'trimestre-passado':
165|                $currentMonth = (int)$now->format('n');
166|                $quarterStartMonth = floor(($currentMonth - 1) / 3) * 3 + 1;
167|                $prevQuarterStartMonth = $quarterStartMonth - 3;
168|                
169|                if ($prevQuarterStartMonth <= 0) {
170|                    $prevQuarterStartMonth += 12;
171|                    $year = (int)$now->format('Y') - 1;
172|                } else {
173|                    $year = (int)$now->format('Y');
174|                }
175|                
176|                $startDate = (new \DateTime())->setDate($year, $prevQuarterStartMonth, 1);
177|                $endDate = (clone $startDate)->modify('last day of +2 months');
178|                break;
179|                
180|            case 'ultimo-trimestre':
181|                $startDate = (clone $now)->modify('-90 days');
182|                break;
183|                
184|            case 'ultimo-semestre':
185|                $startDate = (clone $now)->modify('-180 days');
186|                break;
187|                
188|            case 'este-ano':
189|                $startDate = (clone $now)->setDate((int)$now->format('Y'), 1, 1);
190|                break;
191|                
192|            case 'ano-passado':
193|                $year = (int)$now->format('Y') - 1;
194|                $startDate = (new \DateTime())->setDate($year, 1, 1);
195|                $endDate = (new \DateTime())->setDate($year, 12, 31);
196|                break;
197|                
198|            case 'ultimo-ano':
199|                $startDate = (clone $now)->modify('-365 days');
200|                break;
201|                
202|            default:
203|                return null; // Período não reconhecido
204|        }
205|        
206|        if (!$startDate) {
207|            return null;
208|        }
209|        
210|        return [
211|            'start_date' => $startDate->format('Y-m-d'),
212|            'end_date' => $endDate->format('Y-m-d')
213|        ];
214|    }
215|
216|    // ==========================================
217|    // HELPER - CONSTRUIR CLÁUSULAS WHERE PARA FILTROS
218|    // ==========================================
219|
220|    /**
221|     * Constrói cláusulas WHERE dinâmicas baseadas nos filtros
222|     * 
223|     * Mapeamento de filtros para colunas:
224|     * - projeto → pt.project_id (project_tasks.project_id)
225|     * - categoria-atividade → a.activity_name_legacy
226|     * - prioridade-project-task → pt.priority (1=Alta, 2=Média, 3=Baixa)
227|     * - status-project-task → pt.status (1=A Fazer, 2=Em Andamento, 3=Em Atraso, 4=Finalizada)
228|     * - deadline → cálculo baseado em pt.end_date
229|     * - turno → via work_shift_members (wsm.work_shift_id)
230|     * - membro → cm.id (company_members.id)
231|     * 
232|     * @param array $filters Filtros normalizados do controller
233|     * @param array &$params Parâmetros para bind (passado por referência)
234|     * @param string $dateField Campo de data para filtro de período (ex: 'td.day', 'pt.created_at', 't.created_at')
235|     * @return array ['where' => string, 'joins' => string]
236|     */
237|    private function buildFilterClauses(array $filters, array &$params, string $dateField = 'td.day'): array
238|    {
239|        $whereClauses = [];
240|        $joinClauses = [];
241|        
242|        // ========================================
243|        // FILTRO DE PERÍODO (prioridade máxima)
244|        // ========================================
245|        
246|        // 1) Se vier filtro 'periodo' (ex: 'ultimo-mes', 'este-trimestre'), converte para datas
247|        if (!empty($filters['periodo'])) {
248|            $periodoValue = is_array($filters['periodo']) ? $filters['periodo'][0] : $filters['periodo'];
249|            $resolvedDates = $this->resolvePeriodFilter($periodoValue);
250|            
251|            if ($resolvedDates) {
252|                // Sobrescreve start_date e end_date com as datas resolvidas
253|                $filters['start_date'] = $resolvedDates['start_date'];
254|                $filters['end_date'] = $resolvedDates['end_date'];
255|            }
256|        }
257|        
258|        // 2) Aplica start_date e end_date (vindos de 'periodo' ou diretos)
259|        if (!empty($filters['start_date'])) {
260|            $startDate = is_array($filters['start_date']) ? $filters['start_date'][0] : $filters['start_date'];
261|            $params['start_date'] = $startDate;
262|            
263|            // Para campos DATE/DATETIME, usar função DATE() se necessário
264|            if (in_array($dateField, ['pt.created_at', 'pt.updated_at', 't.created_at', 't.updated_at'])) {
265|                $whereClauses[] = "DATE({$dateField}) >= :start_date";
266|            } else {
267|                $whereClauses[] = "{$dateField} >= :start_date";
268|            }
269|        }
270|        
271|        if (!empty($filters['end_date'])) {
272|            $endDate = is_array($filters['end_date']) ? $filters['end_date'][0] : $filters['end_date'];
273|            $params['end_date'] = $endDate;
274|            
275|            // Para campos DATE/DATETIME, usar função DATE() se necessário
276|            if (in_array($dateField, ['pt.created_at', 'pt.updated_at', 't.created_at', 't.updated_at'])) {
277|                $whereClauses[] = "DATE({$dateField}) <= :end_date";
278|            } else {
279|                $whereClauses[] = "{$dateField} <= :end_date";
280|            }
281|        }
282|        
283|        // ========================================
284|        // OUTROS FILTROS
285|        // ========================================
286|        
287|        // Filtro: projeto (project_tasks.project_id)
288|        if (!empty($filters['projeto'])) {
289|            $placeholders = [];
290|            foreach ($filters['projeto'] as $i => $projectId) {
291|                $key = 'projeto_' . $i;
292|                $placeholders[] = ':' . $key;
293|                $params[$key] = (int)$projectId;
294|            }
295|            $whereClauses[] = 'pt.project_id IN (' . implode(', ', $placeholders) . ')';
296|        }
297|        
298|        // Filtro: categoria-atividade (activities.activity_name_legacy)
299|        if (!empty($filters['categoria-atividade'])) {
300|            $placeholders = [];
301|            foreach ($filters['categoria-atividade'] as $i => $category) {
302|                $key = 'categoria_' . $i;
303|                $placeholders[] = ':' . $key;
304|                $params[$key] = $category;
305|            }
306|            $whereClauses[] = 'a.activity_name_legacy IN (' . implode(', ', $placeholders) . ')';
307|        }
308|        
309|        // Filtro: prioridade-project-task (project_tasks.priority)
310|        if (!empty($filters['prioridade-project-task'])) {
311|            $placeholders = [];
312|            foreach ($filters['prioridade-project-task'] as $i => $priority) {
313|                $key = 'prioridade_' . $i;
314|                $placeholders[] = ':' . $key;
315|                $params[$key] = (int)$priority;
316|            }
317|            $whereClauses[] = 'pt.priority IN (' . implode(', ', $placeholders) . ')';
318|        }
319|        
320|        // Filtro: status-project-task (project_tasks.status)
321|        if (!empty($filters['status-project-task'])) {
322|            $placeholders = [];
323|            foreach ($filters['status-project-task'] as $i => $status) {
324|                $key = 'status_' . $i;
325|                $placeholders[] = ':' . $key;
326|                $params[$key] = (int)$status;
327|            }
328|            $whereClauses[] = 'pt.status IN (' . implode(', ', $placeholders) . ')';
329|        }
330|        
331|        // Filtro: deadline (cálculo baseado em pt.end_date)
332|        if (!empty($filters['deadline'])) {
333|            $deadline = is_array($filters['deadline']) ? $filters['deadline'][0] : $filters['deadline'];
334|            
335|            switch ($deadline) {
336|                case 'vencido':
337|                    $whereClauses[] = 'pt.end_date < CURDATE()';
338|                    break;
339|                case 'hoje':
340|                    $whereClauses[] = 'DATE(pt.end_date) = CURDATE()';
341|                    break;
342|                case 'esta-semana':
343|                    $whereClauses[] = 'pt.end_date BETWEEN CURDATE() AND DATE_ADD(CURDATE(), INTERVAL 7 DAY)';
344|                    break;
345|                case 'proxima-semana':
346|                    $whereClauses[] = 'pt.end_date BETWEEN DATE_ADD(CURDATE(), INTERVAL 7 DAY) AND DATE_ADD(CURDATE(), INTERVAL 14 DAY)';
347|                    break;
348|                case 'este-mes':
349|                    $whereClauses[] = 'MONTH(pt.end_date) = MONTH(CURDATE()) AND YEAR(pt.end_date) = YEAR(CURDATE())';
350|                    break;
351|                case 'sem-prazo':
352|                    $whereClauses[] = 'pt.end_date IS NULL';
353|                    break;
354|            }
355|        }
356|        
357|        // Filtro: turno (via work_shift_members)
358|        if (!empty($filters['turno'])) {
359|            $joinClauses[] = 'LEFT JOIN work_shift_members wsm ON wsm.member_id = cm.id';
360|            
361|            $placeholders = [];
362|            foreach ($filters['turno'] as $i => $turnoId) {
363|                $key = 'turno_' . $i;
364|                $placeholders[] = ':' . $key;
365|                $params[$key] = $turnoId;
366|            }
367|            $whereClauses[] = 'wsm.work_shift_id IN (' . implode(', ', $placeholders) . ')';
368|        }
369|        
370|        // Filtro: membro específico
371|        if (!empty($filters['membro'])) {
372|            $placeholders = [];
373|            foreach ($filters['membro'] as $i => $memberId) {
374|                $key = 'membro_' . $i;
375|                $placeholders[] = ':' . $key;
376|                $params[$key] = (int)$memberId;
377|            }
378|            $whereClauses[] = 'cm.id IN (' . implode(', ', $placeholders) . ')';
379|        }
380|        
381|        // Filtro: gestor-equipe (company_team via company_team_group)
382|        // Filtra membros que pertencem a determinadas equipes
383|        // Usa relacionamento direto: company_members.team_group_id -> company_team_group.id -> company_team_group.team_id
384|        if (!empty($filters['gestor-equipe'])) {
385|            $joinClauses[] = 'LEFT JOIN company_team_group ctg ON ctg.id = cm.team_group_id';
386|            
387|            $placeholders = [];
388|            foreach ($filters['gestor-equipe'] as $i => $teamId) {
389|                $key = 'equipe_' . $i;
390|                $placeholders[] = ':' . $key;
391|                $params[$key] = (int)$teamId;
392|            }
393|            $whereClauses[] = 'ctg.team_id IN (' . implode(', ', $placeholders) . ')';
394|        }
395|        
396|        // Filtro: satisfacao-dia (timesheet_days.work_satisfaction)
397|        // Valores: 1=Muito Insatisfeito, 2=Insatisfeito, 3=Neutro, 4=Satisfeito, 5=Muito Satisfeito
398|        if (!empty($filters['satisfacao-dia'])) {
399|            $placeholders = [];
400|            foreach ($filters['satisfacao-dia'] as $i => $satisfacao) {
401|                $key = 'satisfacao_' . $i;
402|                $placeholders[] = ':' . $key;
403|                $params[$key] = (int)$satisfacao;
404|            }
405|            $whereClauses[] = 'td.work_satisfaction IN (' . implode(', ', $placeholders) . ')';
406|        }
407|        
408|        // Filtro: dia-semana (DAYNAME ou DAYOFWEEK)
409|        // Valores: segunda, terca, quarta, quinta, sexta, sabado, domingo
410|        if (!empty($filters['dia-semana'])) {
411|            $dayMap = [
412|                'domingo' => 1,
413|                'segunda' => 2,
414|                'terca' => 3,
415|                'quarta' => 4,
416|                'quinta' => 5,
417|                'sexta' => 6,
418|                'sabado' => 7
419|            ];
420|            
421|            $dayNumbers = [];
422|            foreach ($filters['dia-semana'] as $dia) {
423|                if (isset($dayMap[$dia])) {
424|                    $dayNumbers[] = $dayMap[$dia];
425|                }
426|            }
427|            
428|            if (!empty($dayNumbers)) {
429|                $whereClauses[] = 'DAYOFWEEK(td.day) IN (' . implode(', ', $dayNumbers) . ')';
430|            }
431|        }
432|        
433|        // Filtro: faixa-duracao (calculado sobre activities.duration ou tempo calculado)
434|        // Valores: ate-15min, 15-30min, 30-60min, 1-2h, 2-4h, acima-4h
435|        if (!empty($filters['faixa-duracao'])) {
436|            $durationConditions = [];
437|            
438|            foreach ($filters['faixa-duracao'] as $faixa) {
439|                switch ($faixa) {
440|                    case 'ate-15min':
441|                        $durationConditions[] = '(a.duration <= 15)';
442|                        break;
443|                    case '15-30min':
444|                        $durationConditions[] = '(a.duration > 15 AND a.duration <= 30)';
445|                        break;
446|                    case '30-60min':
447|                        $durationConditions[] = '(a.duration > 30 AND a.duration <= 60)';
448|                        break;
449|                    case '1-2h':
450|                        $durationConditions[] = '(a.duration > 60 AND a.duration <= 120)';
451|                        break;
452|                    case '2-4h':
453|                        $durationConditions[] = '(a.duration > 120 AND a.duration <= 240)';
454|                        break;
455|                    case 'acima-4h':
456|                        $durationConditions[] = '(a.duration > 240)';
457|                        break;
458|                }
459|            }
460|            
461|            if (!empty($durationConditions)) {
462|                $whereClauses[] = '(' . implode(' OR ', $durationConditions) . ')';
463|            }
464|        }
465|        
466|        // Filtro: responsavel-tarefa (via project_task_members)
467|        // Lista membros responsáveis pelas tarefas através da tabela de relacionamento
468|        if (!empty($filters['responsavel-tarefa'])) {
469|            $joinClauses[] = 'INNER JOIN project_task_members ptm ON ptm.project_task_id = pt.id';
470|            
471|            $placeholders = [];
472|            foreach ($filters['responsavel-tarefa'] as $i => $responsavelId) {
473|                $key = 'responsavel_' . $i;
474|                $placeholders[] = ':' . $key;
475|                $params[$key] = (int)$responsavelId;
476|            }
477|            $whereClauses[] = 'ptm.company_members_id IN (' . implode(', ', $placeholders) . ')';
478|        }
479|        
480|        // ========================================
481|        // FILTROS PARA TASKS (usado no boxplot)
482|        // ========================================
483|        
484|        // Filtro: tipo-avaliacao (evaluation.id via tasks.evaluation_id)
485|        if (!empty($filters['tipo-avaliacao'])) {
486|            $joinClauses[] = 'LEFT JOIN evaluation e ON e.id = t.evaluation_id';
487|            
488|            $placeholders = [];
489|            foreach ($filters['tipo-avaliacao'] as $i => $tipoId) {
490|                $key = 'tipo_avaliacao_' . $i;
491|                $placeholders[] = ':' . $key;
492|                $params[$key] = (int)$tipoId;
493|            }
494|            $whereClauses[] = 't.evaluation_id IN (' . implode(', ', $placeholders) . ')';
495|        }
496|        
497|        // Filtro: status-tarefa-avaliacao (tasks.status)
498|        // Valores comuns: 'finished', 'complete', 'pending', 'in_progress', etc
499|        if (!empty($filters['status-tarefa-avaliacao'])) {
500|            $placeholders = [];

Note: Results truncated to 500 lines. Please narrow your line range.
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Show Details
{"file_path": "src/Service/PeopleAnalytics/Chart/ChartResolver.php"}
File: src/Service/PeopleAnalytics/Chart/ChartResolver.php (Total lines: 172)
IS_TRUNCATED: false
LINE_RANGE: 1-172
1|<?php
2|
3|namespace App\Service\PeopleAnalytics\Chart;
4|
5|use App\Service\PeopleAnalytics\AtracaoRetencaoService;
6|use App\Service\PeopleAnalytics\CostOverviewService;
7|use App\Service\PeopleAnalytics\DiversidadeInclusaoService;
8|use App\Service\PeopleAnalytics\EngagementService;
9|use App\Service\PeopleAnalytics\MemberAnalysisService;
10|use App\Service\PeopleAnalytics\OrganizationalHealthService;
11|use App\Service\PeopleAnalytics\ProdutividadeService;
12|use App\Service\PeopleAnalytics\WelfareAbsenceService;
13|use Psr\Log\LoggerInterface;
14|
15|/**
16| * Resolve qual service de People Analytics deve ser chamado
17| * para um determinado módulo e chart
18| */
19|class ChartResolver
20|{
21|    private array $serviceMap;
22|    private LoggerInterface $logger;
23|    private ChartFilterNormalizer $filterNormalizer;
24|
25|    public function __construct(
26|        AtracaoRetencaoService $atracaoRetencaoService,
27|        CostOverviewService $costOverviewService,
28|        DiversidadeInclusaoService $diversidadeInclusaoService,
29|        EngagementService $engagementService,
30|        MemberAnalysisService $memberAnalysisService,
31|        OrganizationalHealthService $organizationalHealthService,
32|        ProdutividadeService $produtividadeService,
33|        WelfareAbsenceService $welfareAbsenceService,
34|        ChartFilterNormalizer $filterNormalizer,
35|        LoggerInterface $logger
36|    ) {
37|        $this->serviceMap = [
38|            'atracao_retencao' => $atracaoRetencaoService,
39|            'visao_geral_custos' => $costOverviewService,
40|            'diversidade_inclusao' => $diversidadeInclusaoService,
41|            'engajamento' => $engagementService,
42|            'analise_de_membro' => $memberAnalysisService,
43|            'produtividade' => $produtividadeService, // Service dedicado para Produtividade
44|            'saude_organizacional' => $organizationalHealthService,
45|            'bem_estar_ausencia' => $welfareAbsenceService,
46|        ];
47|        
48|        $this->filterNormalizer = $filterNormalizer;
49|        $this->logger = $logger;
50|    }
51|
52|    /**
53|     * Resolve e busca dados do gráfico
54|     * 
55|     * @param string $module Nome do módulo (ex: 'atracao_retencao')
56|     * @param string $chartId ID do gráfico (ex: 'chart-admissoes-desligamentos')
57|     * @param array $filters Filtros aplicados
58|     * @return array ['chart_data' => array, 'filters_applied' => array, 'chart_meta' => array]
59|     * @throws \InvalidArgumentException Se módulo ou chart não existir
60|     */
61|    public function resolve(string $module, string $chartId, array $filters): array
62|    {
63|        // 1. Validar módulo
64|        if (!isset($this->serviceMap[$module])) {
65|            throw new \InvalidArgumentException("Módulo desconhecido: {$module}");
66|        }
67|
68|        $service = $this->serviceMap[$module];
69|
70|        // 2. Normalizar filtros
71|        $normalizedFilters = $this->filterNormalizer->normalize($filters);
72|        if (
73|            $module === 'analise_de_membro'
74|            && !isset($filters['periodo'])
75|            && !isset($filters['start_date'])
76|            && !isset($filters['end_date'])
77|        ) {
78|            unset($normalizedFilters['start_date'], $normalizedFilters['end_date']);
79|        }
80|
81|        // 3. Buscar dados do gráfico
82|        try {
83|            $chartData = $service->getChartData($chartId, $normalizedFilters);
84|        } catch (\Exception $e) {
85|            $this->logger->error("Erro ao buscar dados do gráfico", [
86|                'module' => $module,
87|                'chartId' => $chartId,
88|                'error' => $e->getMessage()
89|            ]);
90|            throw new \InvalidArgumentException("Gráfico não encontrado ou erro ao buscar dados: {$chartId}");
91|        }
92|
93|        // 4. Obter metadata do chart (por enquanto, retornar básico)
94|        $chartMeta = $this->getChartMetadata($module, $chartId, $chartData);
95|
96|        return [
97|            'chart_data' => $chartData,
98|            'filters_applied' => $normalizedFilters,
99|            'chart_meta' => $chartMeta
100|        ];
101|    }
102|
103|    /**
104|     * Obtém metadata básico do chart
105|     * TODO: Implementar metadata completo em cada service
106|     */
107|    private function getChartMetadata(string $module, string $chartId, array $chartData): array
108|    {
109|        // Inferir canonical_shape do tipo de chart retornado
110|        $canonicalShape = $this->inferCanonicalShape($chartData);
111|        
112|        return [
113|            'module' => $module,
114|            'chart_id' => $chartId,
115|            'title' => $chartData['title'] ?? 'Gráfico',
116|            'chart_type' => $chartData['type'] ?? 'unknown',
117|            'canonical_shape' => $canonicalShape,
118|            'metric_name' => 'Valor',
119|            'metric_unit' => '',
120|            'privacy_min_group' => 5
121|        ];
122|    }
123|
124|    /**
125|     * Infere o canonical_shape baseado no tipo do chart
126|     */
127|    private function inferCanonicalShape(array $chartData): string
128|    {
129|        $type = $chartData['type'] ?? '';
130|        
131|        return match($type) {
132|            'line' => 'time_series',
133|            'column', 'bar', 'pie', 'donut' => 'category_series',
134|            'heatmap' => 'heatmap',
135|            'boxplot' => 'boxplot',
136|            'scatter' => 'scatter',
137|            'funnel' => 'funnel',
138|            default => $this->inferCanonicalShapeFromStructure($chartData)
139|        };
140|    }
141|
142|    private function inferCanonicalShapeFromStructure(array $chartData): string
143|    {
144|        if ((isset($chartData['yAxis']) || isset($chartData['yCategories'])) && isset($chartData['data'])) {
145|            return 'heatmap';
146|        }
147|
148|        $series = $chartData['series'] ?? $chartData['datasets'] ?? [];
149|        $firstPoint = $series[0]['data'][0] ?? null;
150|        if (is_array($firstPoint) && array_key_exists('x', $firstPoint) && array_key_exists('y', $firstPoint)) {
151|            return 'scatter';
152|        }
153|
154|        $categories = $chartData['categories'] ?? $chartData['labels'] ?? [];
155|        $firstCategory = $categories[0] ?? null;
156|        if (is_string($firstCategory) && preg_match('/^\d{4}-\d{2}(-\d{2})?$|^\d{2}\/\d{2,4}$/', $firstCategory)) {
157|            return 'time_series';
158|        }
159|
160|        return 'category_series';
161|    }
162|
163|    /**
164|     * Valida se um módulo existe
165|     */
166|    public function moduleExists(string $module): bool
167|    {
168|        return isset($this->serviceMap[$module]);
169|    }
170|}
171|
172|
Request #43 deepseek-v4-flash P:38.4K C:250 CR:29.82K CW:0 3561ms
Reasoning
Let me consider the template change more carefully. The template chart_detail.html.twig diff — an inline script section. In the modified block for module `analise_de_membro`, it deletes `currentFilters.periodo` etc when URL has no explicit period. Then reads `member_id` param. Note the JS helper for produtividade-dashboard isn't in review list; template file is. Let me look at the surrounding context of the template to understand what happens before/after, e.g., how the AJAX works and whether `currentFilters` is the variable name. Let's read the template region around the diff, and where `member_id` and `membro` used. Also check the chart_detail template region lines 2600-2680.
Tool Calls (1)
file_read
Show Details
{"file_path": "templates/people_analytics/chart_detail.html.twig", "start_line": 2560, "end_line": 2740}
File: templates/people_analytics/chart_detail.html.twig (Total lines: 3423)
IS_TRUNCATED: false
LINE_RANGE: 2560-2740
2560|			}
2561|		}, 300);
2562|	}
2563|	
2564|	if (aiGenerateBtn && aiCol && chartCol) {
2565|		// Gerar análise ao clicar no botão
2566|		aiGenerateBtn.addEventListener('click', function() {
2567|			// Capturar altura do card do gráfico ANTES de mudar as colunas
2568|			var chartCard = chartCol.querySelector('.pa-chart-detail__card');
2569|			var chartHeight = chartCard ? chartCard.offsetHeight : 400;
2570|			
2571|			// Mudar colunas: gráfico col-8, IA col-4
2572|			chartCol.classList.remove('col-12');
2573|			chartCol.classList.add('col-8');
2574|			aiCol.style.display = 'block';
2575|			
2576|			// Definir altura do painel de IA igual ao card do gráfico
2577|			aiCol.style.height = chartHeight + 'px';
2578|			
2579|			// Mostrar loading, esconder resultado
2580|			aiLoadingDiv.style.display = 'flex';
2581|			aiResultDiv.style.display = 'none';
2582|			
2583|			// Reajustar gráfico
2584|			reflowChart();
2585|			
2586|			// Buscar análise de IA do backend
2587|			loadAiAnalysis();
2588|		});
2589|		
2590|		// Fechar análise ao clicar no X
2591|		if (aiCloseBtn) {
2592|			aiCloseBtn.addEventListener('click', function() {
2593|				// Voltar ao tamanho original: gráfico col-12
2594|				chartCol.classList.remove('col-8');
2595|				chartCol.classList.add('col-12');
2596|				aiCol.style.display = 'none';
2597|				aiCol.style.height = '';
2598|				
2599|				// Reajustar gráfico
2600|				reflowChart();
2601|			});
2602|		}
2603|	}
2604|
2605|	// ===================================
2606|	// FUNÇÃO: CARREGAR ANÁLISE DE IA
2607|	// ===================================
2608|	function loadAiAnalysis() {
2609|		var loadingDiv = document.getElementById('pa-ai-loading');
2610|		var resultDiv = document.getElementById('pa-ai-result');
2611|		
2612|		// Obter filtros atuais (se houver)
2613|		var currentFilters = {};
2614|		if (typeof window.PeopleAnalyticsFilters !== 'undefined' && window.PeopleAnalyticsFilters.getCurrentFilters) {
2615|			currentFilters = window.PeopleAnalyticsFilters.getCurrentFilters();
2616|		}
2617|		
2618|		// Adicionar filtros de permissão automáticos
2619|		if (window.PeopleAnalyticsPermission && window.PeopleAnalyticsPermission.autoFilters) {
2620|			Object.assign(currentFilters, window.PeopleAnalyticsPermission.autoFilters);
2621|		}
2622|
2623|		{% if module == 'analise_de_membro' %}
2624|		var urlParams = new URLSearchParams(window.location.search);
2625|		var hasExplicitPeriod = urlParams.has('periodo') || urlParams.has('start_date') || urlParams.has('end_date');
2626|		if (!hasExplicitPeriod) {
2627|			delete currentFilters.periodo;
2628|			delete currentFilters.start_date;
2629|			delete currentFilters.end_date;
2630|		}
2631|		var memberId = urlParams.get('member_id') || urlParams.get('membro');
2632|		if (memberId) {
2633|			currentFilters.member_id = memberId;
2634|		}
2635|		{% endif %}
2636|		
2637|		var endpoint = '/people-analytics/api/{{ module }}/chart/{{ chart.id }}/ai-analysis';
2638|		
2639|		console.log('[AI] Solicitando análise...', {
2640|			module: '{{ module }}',
2641|			chartId: '{{ chart.id }}',
2642|			filters: currentFilters
2643|		});
2644|		
2645|		fetch(endpoint, {
2646|			method: 'POST',
2647|			headers: {
2648|				'Content-Type': 'application/json',
2649|				'X-Requested-With': 'XMLHttpRequest'
2650|			},
2651|			credentials: 'same-origin',
2652|			body: JSON.stringify({
2653|				filters: currentFilters,
2654|				question: 'Explique os principais insights e pontos de atenção deste gráfico'
2655|			})
2656|		})
2657|		.then(function(response) {
2658|			if (!response.ok) {
2659|				throw new Error('Erro na requisição: ' + response.status);
2660|			}
2661|			return response.json();
2662|		})
2663|		.then(function(data) {
2664|			console.log('[AI] Análise recebida:', data);
2665|			
2666|			if (data.success && data.ai_analysis) {
2667|				renderAiAnalysis(data.ai_analysis);
2668|			} else {
2669|				throw new Error(data.error || 'Erro ao processar análise');
2670|			}
2671|			
2672|			loadingDiv.style.display = 'none';
2673|			resultDiv.style.display = 'block';
2674|		})
2675|		.catch(function(error) {
2676|			console.error('[AI] Erro ao carregar análise:', error);
2677|			
2678|			resultDiv.innerHTML = '<div class="pa-chart-detail__ai-error">' +
2679|				'<i class="fas fa-exclamation-triangle"></i>' +
2680|				'<p><strong>Erro ao carregar análise</strong></p>' +
2681|				'<p>' + error.message + '</p>' +
2682|				'<p><small>Tente novamente em alguns instantes.</small></p>' +
2683|				'</div>';
2684|			
2685|			loadingDiv.style.display = 'none';
2686|			resultDiv.style.display = 'block';
2687|		});
2688|	}
2689|
2690|	// ===================================
2691|	// FUNÇÃO: RENDERIZAR ANÁLISE DE IA
2692|	// ===================================
2693|	function renderAiAnalysis(analysis) {
2694|		var resultDiv = document.getElementById('pa-ai-result');
2695|		
2696|		if (!analysis) {
2697|			resultDiv.innerHTML = '<p>Nenhuma análise disponível.</p>';
2698|			return;
2699|		}
2700|		
2701|		var html = '';
2702|		
2703|		// Título
2704|		if (analysis.title) {
2705|			html += '<h4 class="pa-ai-title">' + analysis.title + '</h4>';
2706|		}
2707|		
2708|		// Resumo
2709|		if (analysis.summary) {
2710|			html += '<div class="pa-ai-section">' +
2711|				'<p class="pa-ai-summary">' + analysis.summary + '</p>' +
2712|				'</div>';
2713|		}
2714|		
2715|	// Principais Insights
2716|	if (analysis.key_insights && analysis.key_insights.length > 0) {
2717|		html += '<div class="pa-ai-section">' +
2718|			'<h5 class="pa-ai-subtitle"><i class="fas fa-lightbulb"></i> Principais Insights</h5>' +
2719|			'<ul class="pa-ai-list">';
2720|		analysis.key_insights.forEach(function(insight) {
2721|			html += '<li>' + insight + '</li>';
2722|		});
2723|		html += '</ul></div>';
2724|	}
2725|	
2726|	// Análises Preditivas e Projeções
2727|	if (analysis.projections && analysis.projections.length > 0) {
2728|		html += '<div class="pa-ai-section pa-ai-section--projection">' +
2729|			'<h5 class="pa-ai-subtitle"><i class="fas fa-chart-line"></i> Análises Preditivas e Projeções</h5>' +
2730|			'<ul class="pa-ai-list pa-ai-list--projection">';
2731|		analysis.projections.forEach(function(projection) {
2732|			html += '<li>' + projection + '</li>';
2733|		});
2734|		html += '</ul></div>';
2735|	}
2736|	
2737|	// Pontos de Atenção
2738|		if (analysis.attention_points && analysis.attention_points.length > 0) {
2739|			html += '<div class="pa-ai-section">' +
2740|				'<h5 class="pa-ai-subtitle"><i class="fas fa-exclamation-circle"></i> Pontos de Atenção</h5>' +
Request #44 deepseek-v4-flash P:40.94K C:371 CR:38.53K CW:0 3659ms
Reasoning
Now I want to check the chart_detail template, around line 2608-2635: within function `loadAiAnalysis`, they read URL params. Now, an important thing: In `loadAiAnalysis` for module `analise_de_membro`, the template reads `member_id` or `membro` from the URL and overrides `currentFilters.member_id`. But this URL is `/people-analytics/member-analysis/<id>/...`? The template also builds a `endpoint` `/people-analytics/api/{{ module }}/chart/{{ chart.id }}/ai-analysis`. But `{{ module }}` — the module for the member analysis template presumably 'analise_de_membro' or perhaps 'membro'? Actually they use `module == 'analise_de_membro'`. Hmm, wait — the controller change unsets date filters when module === 'analise_de_membro' and no `periodo`. But template now deletes `currentFilters.periodo` too when URL has no period — so the backend rule condition (`!isset($rawFilters['periodo'])`) triggers even when the client explicitly wants to send dates... this is covered in finding 1. Now let me examine the controller file section to understand the exact context of the ai-analysis action, checking for the route/params and the `filters` handling. Also I want to verify other modules' behavior given the controller condition applies to any module with `analise_de_membro`. Let me read controller around lines 60-180.
Tool Calls (1)
file_read
Show Details
{"file_path": "src/Controller/PeopleAnalyticsApiController.php"}
File: src/Controller/PeopleAnalyticsApiController.php (Total lines: 170)
IS_TRUNCATED: false
LINE_RANGE: 1-170
1|<?php
2|
3|namespace App\Controller;
4|
5|use App\Security\UserContext;
6|use App\Service\PeopleAnalytics\Chart\ChartAiAnalysisService;
7|use App\Service\PeopleAnalytics\Chart\ChartFilterNormalizer;
8|use Psr\Log\LoggerInterface;
9|use Symfony\Bundle\FrameworkBundle\Controller\AbstractController;
10|use Symfony\Component\HttpFoundation\JsonResponse;
11|use Symfony\Component\HttpFoundation\Request;
12|use Symfony\Component\Routing\Annotation\Route;
13|
14|/**
15| * Controller para API REST do People Analytics
16| * Endpoints para análise de IA, filtros dinâmicos, exports, etc.
17| */
18|#[Route('/people-analytics/api')]
19|class PeopleAnalyticsApiController extends AbstractController
20|{
21|    public function __construct(
22|        private UserContext $userContext,
23|        private LoggerInterface $logger
24|    ) {}
25|
26|    /**
27|     * Endpoint para análise de IA de um gráfico
28|     * 
29|     * 🔮 FOCO PRINCIPAL: Análises Preditivas e Projeções
30|     * 
31|     * Este endpoint suporta dois tipos de análise:
32|     * 
33|     * 1. ANÁLISE DESCRITIVA (atual): O que aconteceu e está acontecendo
34|     * 2. ANÁLISE PREDITIVA (projeções): O que vai acontecer no futuro ⭐
35|     * 
36|     * PROJEÇÃO = A partir dos dados atuais, prever uma variação %X 
37|     * da variável Y para data futura t
38|     * 
39|     * Exemplo de Projeção:
40|     * "Com taxa de rotatividade histórica de 15% + características atuais 
41|     * (salários, bem-estar, engajamento), prevê-se um AUMENTO para 22% 
42|     * nos próximos 6 meses, com MAIOR RISCO no departamento de Tecnologia"
43|     * 
44|     * POST /people-analytics/api/{module}/chart/{chartId}/ai-analysis
45|     * 
46|     * Body para Análise Descritiva: {
47|     *   "filters": {...},
48|     *   "question": "Explique os principais insights e pontos de atenção"
49|     * }
50|     * 
51|     * Body para Análise Preditiva (Projeção): {
52|     *   "filters": {...},
53|     *   "question": "Qual será a taxa de rotatividade nos próximos 6 meses?",
54|     *   "analysis_type": "projection",
55|     *   "projection_config": {
56|     *     "time_horizon": "6 months",
57|     *     "target_variable": "turnover_rate",
58|     *     "breakdown_by": ["department", "seniority"]
59|     *   }
60|     * }
61|     * 
62|     * Casos de Uso de Projeções:
63|     * - Prever aumento/redução de rotatividade
64|     * - Projetar custos futuros com pessoas
65|     * - Antecipar queda de engajamento (eNPS)
66|     * - Simular impacto de políticas de D&I
67|     * - Prever aumento de absenteísmo
68|     * 
69|     * 📚 Documentação completa: docs/people-analytics/ai_analysis/PROJECOES_IA.md
70|     */
71|    #[Route('/{module}/chart/{chartId}/ai-analysis', name: 'people_analytics_api_chart_ai_analysis', methods: ['POST'])]
72|    public function chartAiAnalysis(
73|        Request $request,
74|        string $module,
75|        string $chartId,
76|        ChartAiAnalysisService $aiAnalysisService,
77|        ChartFilterNormalizer $filterNormalizer
78|    ): JsonResponse {
79|        try {
80|            // Validar módulo
81|            $validModules = [
82|                'saude_organizacional',
83|                'atracao_retencao',
84|                'produtividade',
85|                'visao_geral_custos',
86|                'diversidade_inclusao',
87|                'engajamento',
88|                'bem_estar_ausencia',
89|                'analise_de_membro'
90|            ];
91|
92|            if (!in_array($module, $validModules)) {
93|                return new JsonResponse([
94|                    'success' => false,
95|                    'error' => 'Módulo inválido'
96|                ], 400);
97|            }
98|
99|            // Parsear request body
100|            $data = json_decode($request->getContent(), true);
101|            if (json_last_error() !== JSON_ERROR_NONE) {
102|                return new JsonResponse([
103|                    'success' => false,
104|                    'error' => 'JSON inválido'
105|                ], 400);
106|            }
107|
108|            $rawFilters = $data['filters'] ?? [];
109|            $filters = $rawFilters;
110|            $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção';
111|
112|            // Normalizar filtros
113|            $filters = $filterNormalizer->normalize($filters);
114|
115|            if (
116|                $module === 'analise_de_membro'
117|                && !isset($rawFilters['periodo'])
118|            ) {
119|                unset($filters['start_date'], $filters['end_date']);
120|            }
121|
122|            // Adicionar contexto do usuário (company, permissões)
123|            $company = $this->userContext->getCompany();
124|            if ($company) {
125|                $filters['company_id'] = $company->getId();
126|            }
127|
128|            // Chamar service de análise
129|            $result = $aiAnalysisService->analyze($module, $chartId, $filters, $question);
130|            if (!$result['success']) {
131|                return new JsonResponse($result, 500);
132|            }
133|
134|            return new JsonResponse($result);
135|
136|        } catch (\Exception $e) {
137|            $this->logger->error('[API] Erro na análise de IA', [
138|                'module' => $module,
139|                'chartId' => $chartId,
140|                'error' => $e->getMessage(),
141|                'trace' => $e->getTraceAsString()
142|            ]);
143|
144|            return new JsonResponse([
145|                'success' => false,
146|                'error' => 'Erro ao processar análise: ' . $e->getMessage()
147|            ], 500);
148|        }
149|    }
150|
151|    /**
152|     * Endpoint para verificar status da IA (healthcheck)
153|     * 
154|     * GET /people-analytics/api/ai/health
155|     */
156|    #[Route('/ai/health', name: 'people_analytics_api_ai_health', methods: ['GET'])]
157|    public function aiHealth(): JsonResponse
158|    {
159|        return new JsonResponse([
160|            'success' => true,
161|            'status' => 'operational',
162|            'provider' => 'deepseek',
163|            'model' => 'deepseek-chat',
164|            'timestamp' => (new \DateTime())->format('c')
165|        ]);
166|    }
167|}
168|
169|
170|
Request #45 deepseek-v4-flash P:43.15K C:1.31K CR:41.22K CW:0 10495ms
Reasoning
Now let me analyze the flow in detail. **Controller flow (analise_de_membro)**: 1. `$rawFilters` = request filters. 2. `$filters = normalize($rawFilters)` — normalizer injects default dates (6-month window) unless start/end present or `periodo` present. Also injects member_id from several keys, then member_ids, etc. 3. If module is `analise_de_membro` and no `periodo` key in rawFilters — unset start_date/end_date (default dates removed). This means if the client sends NO date and NO periodo, filter dates removed entirely. 4. Add company_id. 5. Call aiAnalysisService->analyze($module, $chartId, $filters, $question). Now inside analyze (need to read ChartAiAnalysisService more) — which calls ChartResolver->resolve($module, $chartId, $filters). In resolve, normalizer->normalize($filters) runs again; filters now contain company_id, member_id and no start/end. The normalizer re-applies defaults (start/end default 6-month window) unless filters already have start_date/end_date keys (they were unset, so defaults re-added!). Then the second conditional: if module is analise_de_membro and !periodo and no start_date/end_date raw filters (raw filters now lack them) -> unset default dates again. So dates removed. Good. Then MemberAnalysisService->getChartData($chartId, $filters). Wait but there's also the new controller rule and the resolver rule that differ: Controller unsets dates when no `periodo` even if start_date present; resolver unsets only when none of periodo/start/end present. If client sends explicit start_date/end_date but no periodo: - Controller: unsets start_date/end_date (dates lost!). So explicit dates would be dropped — that's confirmed finding #1, don't repeat. OK. Now in MemberAnalysisService `getChartData`: - member_id missing -> throw. - Then set member_id & membro array. Then dispatch to getters. Let's examine the getter `getWorkloadVsProductivity($memberId, $filters)` for date handling. If no dates in filters now, queries without date filter — probably returns data over all times. And previously, default 6-month window would've been applied via normalizer? Wait, where do default dates get applied to MemberAnalysisService queries? The service uses buildFilterClauses($filters,...) applying start_date/end_date if present. Actually for `chart_detail.html.twig` member module — the template sets the date filters from URL; if none, deletes them; so filters may have no period. Prior to fix, normalizer would add default last-6-months dates and queries restricted to last 6 months; if member had data only outside 6 months (e.g., older projects), the chart would be empty -> the bug being fixed. Now potential NEW issues I should look for. **MemberAnalysisService issue — `$filters['membro'] = [(int) $memberId];`**: Wait, check where `membro` filter is used. In `buildFilterClauses`, filter `membro` restricts `cm.id IN (...)`. But for "análise individual" charts, getters target a single member primarily. Some getters compare member vs team (boxplot, ranking). If `membro` filter added to `buildFilterClauses` is applied to the entire team (for the team boxplot query where cm is a team member), restricting cm.id to the single member would destroy the "team boxplot" chart because it would filter out all other members, making the team distribution a single point. Hmm, but is buildFilterClauses used with 'membro' in those queries? Let me look at how the getters use the filters and whether 'membro' being present now changes results. Important: Before this PR, `getChartData` did NOT inject `$filters['membro']`. Only `member_id` (which getters extract). With the new code, `$filters['membro'] = [(int) $memberId]` gets passed to every getter. Any getter that uses `buildFilterClauses` with these filters will now add `cm.id IN (memberId)` clauses. For charts that are intended to show OTHER members' data for comparison (ranking, boxplot team comparison, scatter comparison), restricting `cm.id IN (member)` could drastically change results (only single member's data). This might be a real NEW regression. Need to verify how each getter uses buildFilterClauses and whether the member restriction is on cm.id where cm is the actual member or on a different table for team queries. Let me search within MemberAnalysisService for buildFilterClauses usage and how membro/member_id was handled previously. Also search which getters pass the whole $filters to buildFilterClauses and how member filters are applied before the change (e.g., getProductivityRanking likely queries team members scores and excludes/averages). Let me grep. Also for the ranking chart: `getProductivityRanking` presumably computes the member's ranking among team, needing team data; previously filters maybe didn't include membro. Let me examine methods like getProductivityRanking and getTeamBoxplotWithMember. Let me search.
Tool Calls (2)
code_search
Show Details
{"search_text": "buildFilterClauses(", "file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"]}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php
Match lines: 18
237|    private function buildFilterClauses(array $filters, array &$params, string $dateField = 'td.day'): array
669|        $filterClauses = $this->buildFilterClauses($filters, $params);
793|        $filterClauses = $this->buildFilterClauses($filters, $params);
931|        $filterClauses = $this->buildFilterClauses($filters, $params);
1045|        $filterClauses = $this->buildFilterClauses($filters, $params, 'pt.updated_at');
1148|        $filterClauses = $this->buildFilterClauses($filters, $params, 'td.day');
1410|        $filterClauses = $this->buildFilterClauses($filters, $params);
1575|        $filterClauses = $this->buildFilterClauses($filters, $params);
1883|        $filterClausesCurrent = $this->buildFilterClauses($filtersCurrent, $paramsCurrent);
1884|        $filterClausesPrevious = $this->buildFilterClauses($filtersPrevious, $paramsPrevious);
2138|        $filterClauses = $this->buildFilterClauses($filtersWithoutPeriod, $params);
2251|        $filterClausesCurrent = $this->buildFilterClauses($filtersCurrent, $paramsCurrent, 'pt.updated_at');
2252|        $filterClausesPrevious = $this->buildFilterClauses($filtersPrevious, $paramsPrevious, 'pt.updated_at');
2378|        $filterClausesCurrent = $this->buildFilterClauses($filtersCurrent, $paramsCurrent, 'td.day');
2379|        $filterClausesPrevious = $this->buildFilterClauses($filtersPrevious, $paramsPrevious, 'td.day');
2531|        $filterClausesCurrent = $this->buildFilterClauses($filtersCurrent, $paramsCurrent, 'hst.created_at');
2532|        $filterClausesPrevious = $this->buildFilterClauses($filtersPrevious, $paramsPrevious, 'hst.created_at');
2701|        $filterClauses = $this->buildFilterClauses($filtersWithoutPeriod, $params);

code_search
Show Details
{"search_text": "getProductivityRanking|getTeamBoxplotWithMember|getProductivityVsAbsenceScatter|getWorkloadVsProductivity", "file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"]}
No matches found
Request #46 deepseek-v4-flash P:44.99K C:381 CR:44.42K CW:0 3364ms
Reasoning
The search for getProductivityRanking returned no matches? Odd. Maybe the methods are named differently. Let me search for 'chart-ranking' and methods. Let me search "Ranking" or read the match dispatch region 900-1200 and 1400 etc. Let's find functions mapping. Actually the dispatch calls: - getPerformanceLine - getWorkloadVsProductivity - getTimeByActivityType - getDeliveriesByProject - getTeamBoxplotWithMember - getProductivityRanking - getProductivityVsAbsenceScatter Search "getTeamBoxplotWithMember" etc individually — code_search with regex alternation returned no matches, which is suspicious because `match` dispatch references these functions; but maybe they are named differently, like `getBoxplotTeamWithMember`. Wait the match dispatch itself references `$this->getTeamBoxplotWithMember($memberId, $filters)`; code_search should match "getTeamBoxplotWithMember" in the same file. Unless the code_search tool is case-insensitive but needs something else... maybe there was an issue with regex alternation. Let me search individually.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"], "search_text": "function get"}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php
Match lines: 17
35|    public function getEntityManager(): EntityManagerInterface
49|    public function getChartData(string $chartId, array $filters): array
656|    public function getPerformanceLine(int $memberId, array $filters = []): array
780|    public function getWorkloadVsProductivity(int $memberId, array $filters = []): array
918|    public function getTimeByActivityType(int $memberId, array $filters = []): array
1026|    public function getDeliveriesByProject(int $memberId, array $filters = []): array
1134|    public function getTeamBoxplotWithMember(int $memberId, array $filters = []): array
1397|    public function getProductivityRanking(int $memberId, array $filters = []): array
1562|    public function getProductivityVsAbsenceScatter(int $memberId, array $filters = []): array
1763|    public function getMemberKpis(int $memberId, array $filters = []): array
1817|    public function getMemberKpisByCompany(int $companyId, int $memberId, array $filters = []): array
1868|    private function getProductivityPeriodKpi(int $companyId, array $filters = []): array
2043|    private function getProductivityVsTeamKpi(int $companyId, array $filters = []): array
2236|    private function getDeliveriesKpi(int $companyId, array $filters = []): array
2363|    private function getHoursWorkedKpi(int $companyId, array $filters = []): array
2514|    private function getAbsenceKpi(int $companyId, array $filters = []): array
2656|    private function getEngagementKpi(int $companyId, array $filters = []): array

code_search
Show Details
{"file_patterns": ["src/Service/PeopleAnalytics/MemberAnalysisService.php"], "search_text": "membro"}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php
Match lines: 77
9| * Service para Análise Individual de Membro
19| * 5. Boxplot de Produtividade por Equipe + Membro Destacado
20| * 6. Ranking de Produtividade (membros x score)
21| * 7. Scatter Membro × Time Produtividade vs Ausência
51|        $memberId = $filters['member_id'] ?? $filters['membro'] ?? null;
56|            throw new \InvalidArgumentException("member_id é obrigatório nos filtros para análise de membro");
60|        $filters['membro'] = [(int) $memberId];
65|            'chart-tempo-atividade-membro' => $this->getTimeByActivityType($memberId, $filters),
67|            'chart-boxplot-equipe-membro' => $this->getTeamBoxplotWithMember($memberId, $filters),
81|            'chart-tempo-atividade-membro' => ['title' => 'Tempo por Tipo de Atividade', 'type' => 'donut'],
83|            'chart-boxplot-equipe-membro' => ['title' => 'Produtividade da Equipe com Membro Destacado', 'type' => 'boxplot'],
230|     * - membro → cm.id (company_members.id)
370|        // Filtro: membro específico
371|        if (!empty($filters['membro'])) {
373|            foreach ($filters['membro'] as $i => $memberId) {
374|                $key = 'membro_' . $i;
382|        // Filtra membros que pertencem a determinadas equipes
467|        // Lista membros responsáveis pelas tarefas através da tabela de relacionamento
624|     * Evolução do score de performance AGREGADO de todos os membros da empresa ao longo do tempo.
751|     * Agrega dados de TODOS os membros da empresa.
891|     * Agrega dados de TODOS os membros da empresa.
999|     * Agrega dados de TODOS os membros da empresa.
1018|     * - responsavel-tarefa: Filtra por membros responsáveis
1019|     * - membro: Filtra por membros (criador)
1092|     * GRÁFICO 5: Boxplot de Produtividade por Equipe + Membro Destacado
1094|     * Calcula score médio de produtividade baseado em activities para cada membro ativo,
1096|     * O membro específico é destacado com flag para renderização diferenciada.
1101|     * - Score do membro = AVG de todos os scores de suas activities
1103|     * - Apenas membros ativos (is_removed = 0)
1104|     * - Membros sem activities válidas são ignorados
1108|     * - Se membro não pertence a nenhuma equipe: team_id = 0, team_name = "Sem Time"
1111|     * - Agrupa membros por team_id
1113|     * - Destaque: membro com company_member_id = $memberId recebe highlight=true
1119|     * - company_members (membros ativos)
1153|        // SQL: Calcula produtividade por membro + identifica equipe
1154|        // CTE 1: Produtividade de cada membro (baseada em activities)
1155|        // CTE 2: Equipe de cada membro (via company_team_group_members)
1245|        // Agrupar membros por equipe
1364|     * GRÁFICO 6: Ranking de Produtividade (membros x score)
1366|     * Ranking de TODOS os membros ativos da empresa ordenados por score médio de produtividade.
1373|     * - Média de todas as activities do membro
1384|     * - company_members (membros ativos)
1529|     * Correlaciona produtividade (eixo Y) com taxa de ausência (eixo X) de todos os membros.
1547|     * - work_shift_members (vínculo membro-turno)
1548|     * - company_members (membros ativos)
1748|    /**.     * KPIs: Retorna todos os KPIs do módulo Análise do Membro
1756|     * - membro: array de IDs - filtrar membros específicos
1773|        // memberId > 0 significa dados de um membro específico (Análise de Membro)
1775|            $filters['membro'] = [$memberId];
1777|        // Se memberId = 0, NÃO adiciona filtro de membro, pegando dados de TODOS
1782|        // KPI 2: Produtividade da Empresa (média de todos os membros)
1808|     * KPIs: Retorna todos os KPIs do módulo Análise do Membro (versão que aceita companyId)
1820|        // memberId > 0 significa dados de um membro específico (Análise de Membro)
1822|            $filters['membro'] = [$memberId];
1824|        // Se memberId = 0, NÃO adiciona filtro de membro, pegando dados de TODOS
1829|        // KPI 2: Produtividade da Empresa (média de todos os membros)
1863|     * - membro: Filtrar membros específicos
1882|        // Construir WHERE dinâmico (membro, gestor-equipe, etc)
2033|     * KPI 2: Produtividade da Empresa (média de todos os membros)
2035|     * Calcula a produtividade média de TODOS os membros ativos da empresa.
2040|     * - membro: Filtrar membros específicos
2084|     * Helper: Calcula produtividade média de TODOS os membros da empresa
2094|     * Produtividade do membro = AVG(scores de todas suas activities)
2095|     * Produtividade da empresa = AVG(produtividade de cada membro)
2102|     *   └── is_removed = 0 (apenas membros ativos)
2126|     * @param array $filters Filtros (membro, gestor-equipe, periodo)
2137|        // Construir filtros (membro, gestor-equipe)
2184|        // SQL: Produtividade média de todos os membros da empresa COM FILTROS
2233|     * - membro: Filtrar membros específicos
2250|        // Construir WHERE dinâmico (membro, gestor-equipe)
2360|     * - membro: Filtrar membros específicos
2377|        // Construir WHERE dinâmico (membro, gestor-equipe)
2511|     * - membro: Filtrar membros específicos
2528|        // Construir WHERE dinâmico (membro, gestor-equipe)
2653|     * - membro: Filtrar membros específicos
2689|     * @param array $filters Filtros (periodo, membro, gestor-equipe)
2700|        // Construir filtros (membro, gestor-equipe)

Request #47 deepseek-v4-flash P:47.52K C:386 CR:45.31K CW:0 3310ms
Reasoning
Now, previously `getChartData` (before PR) did NOT inject `$filters['membro']`. So now every chart getter receives `$filters['membro'] = [$memberId]`. But before the PR, how did the getters that use `buildFilterClauses` restrict to the member? Let me examine methods. For team charts (boxplot/ranking/scatter), previously member_id used to highlight/compare; they aggregate all members. If `membro` filter is now added via buildFilterClauses `cm.id IN (...)`, team chart queries that use buildFilterClauses would become restricted to the single member. Need to check each of those chart methods to see whether they call buildFilterClauses with $filters that include 'membro' and whether they apply it to the team-wide query. Let's look at getTeamBoxplotWithMember (1134-1360), getProductivityRanking (1397-1560), getProductivityVsAbsenceScatter (1562-1760), getWorkloadVsProductivity (780-917), getPerformanceLine (656-780). I need to determine whether the 'membro' filter now collapses the team to the member only. Let me read ranges 780-920 (workload vs productivity), 1134-1396 boxplot, 1397-1561 ranking, 1562-1762 scatter.
Tool Calls (1)
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Show Details
{"end_line": 1125, "file_path": "src/Service/PeopleAnalytics/MemberAnalysisService.php", "start_line": 780}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php (Total lines: 2857)
IS_TRUNCATED: false
LINE_RANGE: 780-1125
780|    public function getWorkloadVsProductivity(int $memberId, array $filters = []): array
781|    {
782|        $company = $this->userAccess->getSelectedCompany();
783|        if (!$company) {
784|            return ['labels' => [], 'datasets' => []];
785|        }
786|
787|        $companyId = $company->getId();
788|        
789|        // Prepara parâmetros base
790|        $params = ['companyId' => $companyId];
791|        
792|        // Constrói cláusulas de filtro dinâmicas
793|        $filterClauses = $this->buildFilterClauses($filters, $params);
794|        $extraJoins = $filterClauses['joins'];
795|        $extraWhere = $filterClauses['where'];
796|        // HAVING não usado neste gráfico
797|
798|        // Query unificada: horas + produtividade por dia (COM FILTROS DINÂMICOS)
799|        $sql = "
800|            SELECT
801|                td.day AS period,
802|                SUM(
803|                    CASE 
804|                        WHEN a.id IS NULL THEN 0
805|                        WHEN a.percentage IS NOT NULL AND a.percentage > 0
806|                            THEN (td.work_period * 60 * (a.percentage / 100))
807|                        ELSE a.duration
808|                    END
809|                ) / 60.0 AS total_hours,
810|                AVG(
811|                    CASE 
812|                        WHEN pt.id IS NULL THEN NULL
813|                        WHEN td.day <= DATE(pt.end_date)
814|                            THEN 100
815|                        ELSE GREATEST(
816|                                0,
817|                                100 - 10 * DATEDIFF(td.day, DATE(pt.end_date))
818|                             )
819|                    END
820|                ) AS avg_productivity_score
821|            FROM timesheet_days td
822|            INNER JOIN company_members cm
823|                    ON cm.id = td.member_id
824|                   AND cm.company_id = :companyId
825|            LEFT JOIN activities a
826|                   ON a.timesheet_day_id = td.id
827|                  AND (a.company_id IS NULL OR a.company_id = cm.company_id)
828|            LEFT JOIN project_tasks pt
829|                   ON pt.id = a.project_task_id
830|            {$extraJoins}
831|            WHERE 1=1
832|                {$extraWhere}
833|            GROUP BY td.day
834|            ORDER BY td.day ASC
835|        ";
836|
837|        $stmt = $this->em->getConnection()->prepare($sql);
838|        
839|        // Bind dinâmico de todos os parâmetros
840|        foreach ($params as $key => $value) {
841|            $stmt->bindValue($key, $value);
842|        }
843|        
844|        $results = $stmt->executeQuery()->fetchAllAssociative();
845|
846|        // Formatar dados para o gráfico
847|        $labels = [];
848|        $hours = [];
849|        $scores = []; 
850|        foreach ($results as $row) {
851|            $labels[] = $this->formatPeriodLabel($row['period']);
852|            $hours[] = round((float)$row['total_hours'], 1);
853|            $scores[] = $row['avg_productivity_score'] !== null 
854|                ? round((float)$row['avg_productivity_score'], 2) 
855|                : 0;
856|        }
857|
858|        return [
859|            'labels' => $labels,
860|            'datasets' => [
861|                [
862|                    'label' => 'Horas Trabalhadas',
863|                    'data' => $hours,
864|                    'type' => 'bar',
865|                    'yAxisID' => 'y',
866|                    'backgroundColor' => 'rgba(54, 162, 235, 0.5)',
867|                ],
868|                [
869|                    'label' => 'Score de Produtividade',
870|                    'data' => $scores,
871|                    'type' => 'line',
872|                    'yAxisID' => 'y1',
873|                    'borderColor' => '#FF6384',
874|                    'backgroundColor' => 'rgba(255, 99, 132, 0.1)',
875|                    'tension' => 0.4
876|                ]
877|            ],
878|            'metadata' => [
879|                'total_days' => count($results),
880|                'total_hours' => round(array_sum($hours), 1),
881|                'avg_productivity' => !empty($scores) ? round(array_sum($scores) / count($scores), 2) : 0,
882|                'company_id' => $companyId
883|            ]
884|        ];
885|    }
886|
887|    /**
888|     * GRÁFICO 3: Rosca de Tempo por Tipo de Atividade da EMPRESA
889|     * 
890|     * Distribuição de horas trabalhadas agrupadas por activity_name_legacy.
891|     * Agrega dados de TODOS os membros da empresa.
892|     * 
893|     * Lógica de Cálculo de Horas:
894|     * - Se percentage > 0: horas = work_period × percentage
895|     * - Se tiver start_time e end_time: horas = diferença de tempo
896|     * - Se tiver apenas duration: horas = duration/60
897|     * - Se nada: horas = 0
898|     * 
899|     * Tipos vazios/nulos viram "Outros".
900|     * 
901|     * Fontes:
902|     * - activities (duration, percentage, start_time, end_time, activity_name_legacy)
903|     * - timesheet_days (work_period, day)
904|     * - company_members (filtro por empresa)
905|     * 
906|     * Filtros suportados:
907|     * - start_date, end_date: Período de análise
908|     * - categoria-atividade: Filtra por nomes de categorias
909|     * - projeto: Filtra por IDs de projetos
910|     * - dia-semana: Filtra por dias da semana
911|     * - turno: Filtra por IDs de turnos
912|     * - faixa-duracao: Filtra por faixas de duração
913|     * 
914|     * @param int $memberId [FUTURO] Será usado para filtro individual
915|     * @param array $filters Filtros ['start_date' => 'Y-m-d', 'categoria-atividade' => [nomes], ...]
916|     * @return array ['labels' => ['Criação de projeto', ...], 'data' => [15.98, 10.52, ...]]
917|     */
918|    public function getTimeByActivityType(int $memberId, array $filters = []): array
919|    {
920|        $company = $this->userAccess->getSelectedCompany();
921|        if (!$company) {
922|            return ['labels' => [], 'data' => []];
923|        }
924|
925|        $companyId = $company->getId();
926|        
927|        // Prepara parâmetros base
928|        $params = ['companyId' => $companyId];
929|        
930|        // Constrói cláusulas de filtro dinâmicas
931|        $filterClauses = $this->buildFilterClauses($filters, $params);
932|        $extraJoins = $filterClauses['joins'];
933|        $extraWhere = $filterClauses['where'];
934|        // HAVING não usado neste gráfico
935|
936|        // Query com lógica avançada de cálculo de horas (COM FILTROS DINÂMICOS)
937|        $sql = "
938|            SELECT 
939|                COALESCE(
940|                    NULLIF(TRIM(a.activity_name_legacy), ''), 
941|                    'Outros'
942|                ) AS activity_type,
943|                SUM(
944|                    CASE
945|                        WHEN a.percentage IS NOT NULL AND a.percentage > 0
946|                            THEN (td.work_period * (a.percentage / 100.0))
947|                        
948|                        WHEN a.start_time IS NOT NULL AND a.end_time IS NOT NULL
949|                            THEN TIME_TO_SEC(TIMEDIFF(a.end_time, a.start_time)) / 3600.0
950|
951|                        WHEN a.duration IS NOT NULL AND a.duration > 0
952|                            THEN a.duration / 60.0
953|
954|                        ELSE 0
955|                    END
956|                ) AS total_hours
957|            FROM activities a
958|            INNER JOIN timesheet_days td 
959|                    ON td.id = a.timesheet_day_id
960|            INNER JOIN company_members cm
961|                    ON cm.id = td.member_id
962|                   AND cm.company_id = :companyId
963|            LEFT JOIN project_tasks pt
964|                   ON pt.id = a.project_task_id
965|            {$extraJoins}
966|            WHERE 1=1
967|                {$extraWhere}
968|            GROUP BY activity_type
969|            ORDER BY total_hours DESC
970|        ";
971|
972|        $stmt = $this->em->getConnection()->prepare($sql);
973|        
974|        // Bind dinâmico de todos os parâmetros
975|        foreach ($params as $key => $value) {
976|            $stmt->bindValue($key, $value);
977|        }
978|        
979|        $results = $stmt->executeQuery()->fetchAllAssociative();
980|
981|        $labels = [];
982|        $data = [];
983|
984|        foreach ($results as $row) {
985|            $labels[] = $row['activity_type'];
986|            $data[] = round((float)$row['total_hours'], 2);
987|        }
988|
989|        return [
990|            'labels' => $labels,
991|            'data' => $data
992|        ];
993|    }
994|
995|    /**
996|     * GRÁFICO 4: Barras de Entregas por Projeto da EMPRESA
997|     * 
998|     * Quantidade de entregas/tarefas por projeto.
999|     * Agrega dados de TODOS os membros da empresa.
1000|     * 
1001|     * Lógica:
1002|     * - Conta project_tasks (por padrão status=4 concluído, mas pode filtrar outros)
1003|     * - Agrupa pelo nome do projeto (project.name)
1004|     * - Vincula à empresa via company_members.user_id
1005|     * - TOP 10 projetos com mais entregas
1006|     * 
1007|     * Fontes:
1008|     * - project_tasks (tarefas)
1009|     * - project (nomes dos projetos)
1010|     * - company_members (vínculo empresa-usuário)
1011|     * - project_task_members (responsáveis pelas tarefas)
1012|     * 
1013|     * Filtros suportados:
1014|     * - projeto: Filtra por IDs de projetos
1015|     * - status-project-task: Filtra por status (padrão: 4=Concluída)
1016|     * - prioridade-project-task: Filtra por prioridade
1017|     * - deadline: Filtra por prazo
1018|     * - responsavel-tarefa: Filtra por membros responsáveis
1019|     * - membro: Filtra por membros (criador)
1020|     * - start_date/end_date: Filtra por período (pt.updated_at)
1021|     * 
1022|     * @param int $memberId [FUTURO] Será usado para filtro individual
1023|     * @param array $filters Filtros ['status-project-task' => [4], 'projeto' => [ids], ...]
1024|     * @return array ['labels' => ['Projeto Alpha', ...], 'data' => [15, 8, ...]]
1025|     */
1026|    public function getDeliveriesByProject(int $memberId, array $filters = []): array
1027|    {
1028|        $company = $this->userAccess->getSelectedCompany();
1029|        if (!$company) {
1030|            return ['labels' => [], 'data' => []];
1031|        }
1032|
1033|        $companyId = $company->getId();
1034|        
1035|        // Define status padrão como 4 (Concluída) se não fornecido
1036|        if (empty($filters['status-project-task'])) {
1037|            $filters['status-project-task'] = [4];
1038|        }
1039|        
1040|        // Prepara parâmetros base
1041|        $params = ['companyId' => $companyId];
1042|        
1043|        // Constrói cláusulas de filtro dinâmicas
1044|        // Usa pt.updated_at para filtro de período (data de última atualização da tarefa)
1045|        $filterClauses = $this->buildFilterClauses($filters, $params, 'pt.updated_at');
1046|        $extraJoins = $filterClauses['joins'];
1047|        $extraWhere = $filterClauses['where'];
1048|        // HAVING não usado neste gráfico
1049|
1050|        // SQL nativo com FILTROS DINÂMICOS
1051|        $sql = "
1052|            SELECT 
1053|                COALESCE(NULLIF(TRIM(p.name), ''), 'Projeto Sem Nome') AS project_name,
1054|                COUNT(DISTINCT pt.id) AS total_entregas
1055|            FROM project_tasks pt
1056|            INNER JOIN project p ON p.id = pt.project_id
1057|            INNER JOIN company_members cm
1058|                ON cm.user_id = pt.project_task_created_by_user_id
1059|                AND cm.company_id = :companyId
1060|            {$extraJoins}
1061|            WHERE 1=1
1062|                {$extraWhere}
1063|            GROUP BY project_name
1064|            ORDER BY total_entregas DESC
1065|            LIMIT 10
1066|        ";
1067|
1068|        $stmt = $this->em->getConnection()->prepare($sql);
1069|        
1070|        // Bind dinâmico de todos os parâmetros
1071|        foreach ($params as $key => $value) {
1072|            $stmt->bindValue($key, $value);
1073|        }
1074|        
1075|        $results = $stmt->executeQuery()->fetchAllAssociative();
1076|
1077|        $labels = [];
1078|        $data = [];
1079|
1080|        foreach ($results as $row) {
1081|            $labels[] = $row['project_name'];
1082|            $data[] = (int)$row['total_entregas'];
1083|        }
1084|
1085|        return [
1086|            'labels' => $labels,
1087|            'data' => $data
1088|        ];
1089|    }
1090|
1091|    /**
1092|     * GRÁFICO 5: Boxplot de Produtividade por Equipe + Membro Destacado
1093|     * 
1094|     * Calcula score médio de produtividade baseado em activities para cada membro ativo,
1095|     * agrupa por equipe e gera boxplot (min, Q1, mediana, Q3, max) por time.
1096|     * O membro específico é destacado com flag para renderização diferenciada.
1097|     * 
1098|     * Lógica de Score (Produtividade):
1099|     * - Se day <= end_date: score = 100 (dentro do prazo)
1100|     * - Se day > end_date: score = 100 - (10 × dias_atraso), mínimo 0
1101|     * - Score do membro = AVG de todos os scores de suas activities
1102|     * - Apenas activities com project_task_id e end_date não-nulos
1103|     * - Apenas membros ativos (is_removed = 0)
1104|     * - Membros sem activities válidas são ignorados
1105|     * 
1106|     * Lógica de Equipe:
1107|     * - Usa cadeia oficial: company_team_group_members → company_team_group → company_team
1108|     * - Se membro não pertence a nenhuma equipe: team_id = 0, team_name = "Sem Time"
1109|     * 
1110|     * Lógica de Boxplot:
1111|     * - Agrupa membros por team_id
1112|     * - Para cada equipe: ordena scores e calcula percentis
1113|     * - Destaque: membro com company_member_id = $memberId recebe highlight=true
1114|     * 
1115|     * Fontes:
1116|     * - activities (atividades realizadas)
1117|     * - timesheet_days (dia de realização)
1118|     * - project_tasks (deadlines)
1119|     * - company_members (membros ativos)
1120|     * - company_team_group_members + company_team_group + company_team (equipes oficiais)
1121|     * 
1122|     * Filtros suportados:
1123|     * - projeto: Filtra por IDs de projetos (project_tasks.project_id)
1124|     * - categoria-atividade: Filtra por categorias (activities.activity_name_legacy)
1125|     * - turno: Filtra por IDs de turnos (via work_shift_members)
Request #48 deepseek-v4-flash P:52.17K C:998 CR:47.87K CW:0 8536ms
Reasoning
These queries join `company_members cm` and apply `cm.id IN (:membro_0)` if membro filter present via buildFilterClauses. Wait — the work/vs query's extraWhere references `cm.id` (filters membro uses cm.id). Actually the `membro` filter clause in buildFilterClauses is `cm.id IN (...)` — the alias `cm` is available in these queries (JOIN company_members cm). So for charts 2-7, previously (before the PR), the `memberId` was passed as a method param and the getters incorporated member-specific conditions differently? Let's see: workload chart: query filters on cm.id? The query selects SUM hours for all members then aggregates by day... Wait the chart for a single member should filter td.member_id = memberId. Before the PR, filters wouldn't include 'membro' unless the caller passed it. Hmm. Actually the module callers might always have passed `member_id`, but getChartData didn't add membro. And these getters never used member_id param in the SQL? Let me verify getWorkloadVsProductivity: I see query with no `td.member_id = :memberId` restriction! Indeed the query is missing member restriction? Let me scan: WHERE 1=1 plus extraWhere. extraWhere would include membro clause IF membro in filters. Before the fix, member_id was in filters but not membro, and these queries have no membro param... So how did workload chart show single member data before? Hmm. Maybe before, the template/controller sent `membro` already? Not necessarily. This is the bug: individual analysis showed company-wide data or empty. Actually let's re-check: previously MemberAnalysisService used the passed $filters directly from the caller. Wait, getChartData's old code at the top just extracted memberId and passed filters to the getters, but getters rarely use memberId... hmm. This is speculative. The important question for THIS review: does adding `$filters['membro'] = [(int) $memberId]` now correctly restrict each chart to the member? For workload-vs-productivity (line per day of a single member), yes: cm.id IN (memberId) restricts rows to that member. That's presumably intended (fix). For team boxplot, ranking, and scatter charts, the whole point is to display TEAM/company comparisons around the member; if membro restriction now applies via the same buildFilterClauses to those charts, they would collapse to show only the single member. That would make boxplot/ranking/scatter mostly single-point data — breaking the chart meaning, though still show member highlighted with a single data point and empty team? But wait — do those three chart methods call buildFilterClauses with `$filters` directly including membro? getTeamBoxplotWithMember's SQL builds team data from activities with team grouping; does it use buildFilterClauses? Line 1148 buildFilterClauses is in getTeamBoxplotWithMember range (1134-1360)? Yes 1148 < 1360. So boxplot uses buildFilterClauses($filters, $params). If membro filter present, `cm.id IN (memberId)` is applied to the boxplot query that groups ALL members by team — thereby restricting to the single member, meaning each team's distribution is only the member; not the intended "equipe + membro destacado". But wait — how did the boxplot work BEFORE this PR? getChartData previously didn't add membro; member_id present in filters as int; buildFilterClauses doesn't apply 'member_id' (only 'membro'), and chart getter's internal logic highlights member while computing team stats for all members. So previously boxplot was full team; after the change, boxplot would be restricted to the single member. That looks like a regression introduced by setting `$filters['membro']`. Hold on — but maybe the boxplot method uses a "filtersWithoutPeriod" and removes 'membro' from filters for team query. Let me read boxplot method and ranking and scatter to confirm whether membro affects them. Read ranges: 1134-1396, 1397-1560, 1562-1760.
Tool Calls (1)
file_read
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{"end_line": 1560, "file_path": "src/Service/PeopleAnalytics/MemberAnalysisService.php", "start_line": 1134}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php (Total lines: 2857)
IS_TRUNCATED: false
LINE_RANGE: 1134-1560
1134|    public function getTeamBoxplotWithMember(int $memberId, array $filters = []): array
1135|    {
1136|        $company = $this->userAccess->getSelectedCompany();
1137|        if (!$company) {
1138|            return ['teams' => [], 'metadata' => ['total_members' => 0, 'total_teams' => 0]];
1139|        }
1140|
1141|        $companyId = $company->getId();
1142|        
1143|        // Prepara parâmetros base
1144|        $params = ['companyId' => $companyId];
1145|        
1146|        // Constrói cláusulas de filtro dinâmicas
1147|        // Usa td.day para filtro de período (data de realização da atividade)
1148|        $filterClauses = $this->buildFilterClauses($filters, $params, 'td.day');
1149|        $extraJoins = $filterClauses['joins'];
1150|        $extraWhere = $filterClauses['where'];
1151|        // HAVING não usado neste gráfico
1152|
1153|        // SQL: Calcula produtividade por membro + identifica equipe
1154|        // CTE 1: Produtividade de cada membro (baseada em activities)
1155|        // CTE 2: Equipe de cada membro (via company_team_group_members)
1156|        $sql = "
1157|            WITH member_productivity AS (
1158|                SELECT
1159|                    cm.id AS company_member_id,
1160|                    cm.user_id,
1161|                    AVG(
1162|                        CASE
1163|                            WHEN pt.id IS NULL THEN NULL
1164|                            WHEN pt.end_date IS NULL THEN 50
1165|                            WHEN td.day <= DATE(pt.end_date) THEN 100
1166|                            ELSE GREATEST(0, 100 - 10 * DATEDIFF(td.day, DATE(pt.end_date)))
1167|                        END
1168|                    ) AS avg_productivity
1169|                FROM company_members cm
1170|                INNER JOIN timesheet_days td ON td.member_id = cm.id
1171|                INNER JOIN activities a ON a.timesheet_day_id = td.id
1172|                LEFT JOIN project_tasks pt ON pt.id = a.project_task_id
1173|                {$extraJoins}
1174|                WHERE cm.company_id = :companyId
1175|                    AND cm.is_removed = 0
1176|                    AND a.project_task_id IS NOT NULL
1177|                    AND pt.end_date IS NOT NULL
1178|                    {$extraWhere}
1179|                GROUP BY cm.id, cm.user_id
1180|            ),
1181|            member_teams AS (
1182|                SELECT
1183|                    cm.id AS company_member_id,
1184|                    COALESCE(ct.id, 0) AS team_id,
1185|                    COALESCE(ct.name, 'Sem Time') AS team_name
1186|                FROM company_members cm
1187|                LEFT JOIN company_team_group_members ctgm ON ctgm.member_id = cm.id
1188|                LEFT JOIN company_team_group ctg ON ctg.id = ctgm.team_group_id
1189|                LEFT JOIN company_team ct ON ct.id = ctg.team_id
1190|                WHERE cm.company_id = :companyId
1191|                    AND cm.is_removed = 0
1192|            )
1193|            SELECT
1194|                mt.team_id,
1195|                mt.team_name,
1196|                mp.company_member_id,
1197|                mp.user_id,
1198|                mp.avg_productivity AS avg_score
1199|            FROM member_productivity mp
1200|            INNER JOIN member_teams mt ON mt.company_member_id = mp.company_member_id
1201|            WHERE mp.avg_productivity IS NOT NULL
1202|            ORDER BY mt.team_name, mp.avg_productivity
1203|        ";
1204|
1205|        $stmt = $this->em->getConnection()->prepare($sql);
1206|        
1207|        // Bind dinâmico de todos os parâmetros
1208|        foreach ($params as $key => $value) {
1209|            $stmt->bindValue($key, $value);
1210|        }
1211|        
1212|        $results = $stmt->executeQuery()->fetchAllAssociative();
1213|
1214|        if (empty($results)) {
1215|            return ['teams' => [], 'metadata' => ['total_members' => 0, 'total_teams' => 0]];
1216|        }
1217|
1218|        // Aplicar filtro de faixa-produtividade (pós-query)
1219|        if (!empty($filters['faixa-produtividade'])) {
1220|            $results = array_filter($results, function($row) use ($filters) {
1221|                $score = (float)$row['avg_score'];
1222|                foreach ($filters['faixa-produtividade'] as $faixa) {
1223|                    switch ($faixa) {
1224|                        case 'excelente':
1225|                            if ($score > 90) return true;
1226|                            break;
1227|                        case 'alta':
1228|                            if ($score >= 80 && $score <= 90) return true;
1229|                            break;
1230|                        case 'media':
1231|                            if ($score >= 60 && $score < 80) return true;
1232|                            break;
1233|                        case 'baixa':
1234|                            if ($score >= 40 && $score < 60) return true;
1235|                            break;
1236|                        case 'critica':
1237|                            if ($score < 40) return true;
1238|                            break;
1239|                    }
1240|                }
1241|                return false;
1242|            });
1243|        }
1244|
1245|        // Agrupar membros por equipe
1246|        $teamGroups = [];
1247|        foreach ($results as $row) {
1248|            $teamId = $row['team_id'];
1249|            
1250|            if (!isset($teamGroups[$teamId])) {
1251|                $teamGroups[$teamId] = [
1252|                    'team_id' => $teamId,
1253|                    'team_name' => $row['team_name'],
1254|                    'members' => [],
1255|                    'scores' => []
1256|                ];
1257|            }
1258|
1259|            $score = round((float)$row['avg_score'], 2);
1260|            $isHighlighted = ((int)$row['company_member_id'] === $memberId);
1261|
1262|            $teamGroups[$teamId]['members'][] = [
1263|                'company_member_id' => (int)$row['company_member_id'],
1264|                'user_id' => (int)$row['user_id'],
1265|                'avg_score' => $score,
1266|                'highlight' => $isHighlighted
1267|            ];
1268|            $teamGroups[$teamId]['scores'][] = $score;
1269|        }
1270|
1271|        // Calcular boxplot para cada equipe
1272|        $teamsData = [];
1273|        foreach ($teamGroups as $team) {
1274|            $scores = $team['scores'];
1275|            sort($scores);
1276|            $count = count($scores);
1277|
1278|            $boxplot = $this->calculateBoxplotStats($scores);
1279|
1280|            $teamsData[] = [
1281|                'team_id' => $team['team_id'],
1282|                'team_name' => $team['team_name'],
1283|                'boxplot' => $boxplot,
1284|                'members' => $team['members'],
1285|                'member_count' => $count
1286|            ];
1287|        }
1288|        
1289|        return [
1290|            'teams' => $teamsData,
1291|            'metadata' => [
1292|                'total_members' => count($results),
1293|                'total_teams' => count($teamsData),
1294|                'highlighted_member_id' => $memberId,
1295|                'company_id' => $companyId,
1296|                'filters_applied' => !empty($filters) ? array_keys($filters) : []
1297|            ]
1298|        ];
1299|    }
1300|
1301|    /**
1302|     * Calcula estatísticas de boxplot (min, Q1, mediana, Q3, max) de uma lista ordenada.
1303|     * 
1304|     * @param array $scores Array de valores numéricos (deve estar ordenado)
1305|     * @return array ['min' => float, 'q1' => float, 'median' => float, 'q3' => float, 'max' => float]
1306|     */
1307|    private function calculateBoxplotStats(array $scores): array
1308|    {
1309|        $count = count($scores);
1310|        
1311|        if ($count === 0) {
1312|            return ['min' => 0, 'q1' => 0, 'median' => 0, 'q3' => 0, 'max' => 0];
1313|        }
1314|
1315|        if ($count === 1) {
1316|            $value = $scores[0];
1317|            return ['min' => $value, 'q1' => $value, 'median' => $value, 'q3' => $value, 'max' => $value];
1318|        }
1319|
1320|        $min = $scores[0];
1321|        $max = $scores[$count - 1];
1322|        
1323|        // Calcular percentis usando interpolação linear
1324|        $median = $this->percentile($scores, 50);
1325|        $q1 = $this->percentile($scores, 25);
1326|        $q3 = $this->percentile($scores, 75);
1327|
1328|        return [
1329|            'min' => round($min, 2),
1330|            'q1' => round($q1, 2),
1331|            'median' => round($median, 2),
1332|            'q3' => round($q3, 2),
1333|            'max' => round($max, 2)
1334|        ];
1335|    }
1336|
1337|    /**
1338|     * Calcula percentil de um array ordenado usando interpolação linear.
1339|     * 
1340|     * @param array $sortedArray Array ordenado de valores
1341|     * @param float $percentile Percentil desejado (0-100)
1342|     * @return float Valor do percentil
1343|     */
1344|    private function percentile(array $sortedArray, float $percentile): float
1345|    {
1346|        $count = count($sortedArray);
1347|        $index = ($percentile / 100) * ($count - 1);
1348|        
1349|        $lower = floor($index);
1350|        $upper = ceil($index);
1351|        
1352|        if ($lower === $upper) {
1353|            return $sortedArray[(int)$index];
1354|        }
1355|        
1356|        $lowerValue = $sortedArray[(int)$lower];
1357|        $upperValue = $sortedArray[(int)$upper];
1358|        $fraction = $index - $lower;
1359|        
1360|        return $lowerValue + ($upperValue - $lowerValue) * $fraction;
1361|    }
1362|
1363|    /**
1364|     * GRÁFICO 6: Ranking de Produtividade (membros x score)
1365|     * 
1366|     * Ranking de TODOS os membros ativos da empresa ordenados por score médio de produtividade.
1367|     * Usa a mesma lógica do Gráfico 1 (performance baseada em deadline).
1368|     * 
1369|     * Lógica de Score:
1370|     * - Se day <= end_date: score = 100 (dentro do prazo)
1371|     * - Se day > end_date: score = 100 - (10 × dias_atraso), mínimo 0
1372|     * - Apenas activities com project_task_id e end_date não-nulos
1373|     * - Média de todas as activities do membro
1374|     * 
1375|     * Lógica de Equipe:
1376|     * - Usa company_members.teams (primeiro token)
1377|     * - Se numérico: busca nome em company_team
1378|     * - Fallback para texto direto ou "Sem Time"
1379|     * 
1380|     * Fontes:
1381|     * - activities (atividades realizadas)
1382|     * - timesheet_days (dia de realização)
1383|     * - project_tasks (deadlines)
1384|     * - company_members (membros ativos)
1385|     * - company_team (nomes das equipes)
1386|     * 
1387|     * Filtros suportados:
1388|     * - projeto: Filtra por IDs de projetos
1389|     * - categoria-atividade: Filtra por nomes de categorias
1390|     * - faixa-produtividade: Filtra por faixas de score (excelente, alta, media, baixa, critica)
1391|     * - turno: Filtra por IDs de turnos
1392|     * 
1393|     * @param int $memberId ID do company_member para destacar no ranking
1394|     * @param array $filters Filtros ['projeto' => [ids], 'faixa-produtividade' => [faixas], ...]
1395|     * @return array ['labels' => [...], 'data' => [...], 'highlighted_index' => int|null]
1396|     */
1397|    public function getProductivityRanking(int $memberId, array $filters = []): array
1398|    {
1399|        $company = $this->userAccess->getSelectedCompany();
1400|        if (!$company) {
1401|            return ['labels' => [], 'data' => [], 'highlighted_index' => null];
1402|        }
1403|
1404|        $companyId = $company->getId();
1405|        
1406|        // Prepara parâmetros base
1407|        $params = ['companyId' => $companyId];
1408|        
1409|        // Constrói cláusulas de filtro dinâmicas
1410|        $filterClauses = $this->buildFilterClauses($filters, $params);
1411|        $extraJoins = $filterClauses['joins'];
1412|        $extraWhere = $filterClauses['where'];
1413|        $extraHaving = $filterClauses['having'] ?? '';
1414|
1415|        // SQL com FILTROS DINÂMICOS
1416|        $sql = "
1417|            SELECT 
1418|                cm.id AS company_member_id,
1419|                cm.user_id,
1420|                SUBSTRING_INDEX(cm.teams, ',', 1) AS raw_team,
1421|                ct.id AS team_id,
1422|                CASE
1423|                    WHEN cm.teams IS NULL OR cm.teams = '' 
1424|                        THEN 'Sem Time'
1425|                    WHEN SUBSTRING_INDEX(cm.teams, ',', 1) REGEXP '^[0-9]+$'
1426|                        THEN COALESCE(ct.name, CONCAT('Time #', SUBSTRING_INDEX(cm.teams, ',', 1)))
1427|                    ELSE SUBSTRING_INDEX(cm.teams, ',', 1)
1428|                END AS team_name,
1429|                AVG(
1430|                    CASE
1431|                        WHEN pt.id IS NULL THEN NULL
1432|                        WHEN td.day <= DATE(pt.end_date)
1433|                            THEN 100
1434|                        ELSE GREATEST(
1435|                                0,
1436|                                100 - 10 * DATEDIFF(td.day, DATE(pt.end_date))
1437|                             )
1438|                    END
1439|                ) AS avg_productivity_score
1440|            FROM company_members cm
1441|            INNER JOIN timesheet_days td ON td.member_id = cm.id
1442|            INNER JOIN activities a 
1443|                ON a.timesheet_day_id = td.id
1444|                AND (a.company_id = cm.company_id OR a.company_id IS NULL)
1445|            LEFT JOIN project_tasks pt ON pt.id = a.project_task_id
1446|            LEFT JOIN company_team ct
1447|                ON ct.company_id = cm.company_id
1448|                AND ct.id = CAST(SUBSTRING_INDEX(cm.teams, ',', 1) AS UNSIGNED)
1449|            {$extraJoins}
1450|            WHERE cm.company_id = :companyId
1451|                AND cm.is_removed = 0
1452|                AND a.project_task_id IS NOT NULL
1453|                AND pt.end_date IS NOT NULL
1454|                {$extraWhere}
1455|            GROUP BY 
1456|                cm.id,
1457|                cm.user_id,
1458|                raw_team,
1459|                team_id,
1460|                team_name
1461|            HAVING avg_productivity_score IS NOT NULL
1462|                {$extraHaving}
1463|            ORDER BY avg_productivity_score DESC
1464|            LIMIT 15
1465|        ";
1466|
1467|        $stmt = $this->em->getConnection()->prepare($sql);
1468|        
1469|        // Bind dinâmico de todos os parâmetros
1470|        foreach ($params as $key => $value) {
1471|            $stmt->bindValue($key, $value);
1472|        }
1473|        
1474|        $results = $stmt->executeQuery()->fetchAllAssociative();
1475|
1476|        if (empty($results)) {
1477|            return ['labels' => [], 'data' => [], 'highlighted_index' => null];
1478|        }
1479|
1480|        // Buscar nome dos usuários (de user_profile)
1481|        $userIds = array_column($results, 'user_id');
1482|        $placeholders = implode(',', array_fill(0, count($userIds), '?'));
1483|        
1484|        $sqlUsers = "
1485|            SELECT 
1486|                up.user_id,
1487|                CONCAT(up.first_name, ' ', up.last_name) as full_name
1488|            FROM user_profile up
1489|            WHERE up.user_id IN ($placeholders)
1490|        ";
1491|        $stmtUsers = $this->em->getConnection()->prepare($sqlUsers);
1492|        foreach ($userIds as $index => $userId) {
1493|            $stmtUsers->bindValue($index + 1, $userId);
1494|        }
1495|        $users = $stmtUsers->executeQuery()->fetchAllAssociative();
1496|        $userNames = array_column($users, 'full_name', 'user_id');
1497|
1498|        // Montar arrays para o gráfico
1499|        $labels = [];
1500|        $data = [];
1501|        $highlightedIndex = null;
1502|
1503|        foreach ($results as $index => $row) {
1504|            $userName = $userNames[$row['user_id']] ?? 'Usuário ' . $row['user_id'];
1505|            $teamName = $row['team_name'];
1506|            
1507|            $labels[] = $userName . ' (' . $teamName . ')';
1508|            $data[] = round((float)$row['avg_productivity_score'], 2);
1509|            
1510|            if ((int)$row['company_member_id'] === $memberId) {
1511|                $highlightedIndex = $index;
1512|            }
1513|        }
1514|
1515|        return [
1516|            'labels' => $labels,
1517|            'data' => $data,
1518|            'highlighted_index' => $highlightedIndex,
1519|            'metadata' => [
1520|                'total_members' => count($results),
1521|                'company_id' => $companyId
1522|            ]
1523|        ];
1524|    }
1525|
1526|    /**
1527|     * GRÁFICO 7: Scatter Produtividade vs Ausência da EMPRESA
1528|     * 
1529|     * Correlaciona produtividade (eixo Y) com taxa de ausência (eixo X) de todos os membros.
1530|     * Usa mesma lógica de produtividade dos Gráficos 1 e 6.
1531|     * 
1532|     * Lógica de Produtividade:
1533|     * - Se day <= end_date: score = 100 (dentro do prazo)
1534|     * - Se day > end_date: score = 100 - (10 × dias_atraso), mínimo 0
1535|     * - Média de todas as activities com deadline
1536|     * 
1537|     * Lógica de Ausência:
1538|     * - Conta apenas hit_the_spot_time com type='first_check_in' e status='ausente'
1539|     * - Considera apenas registros a partir de work_shift.created_at
1540|     * - Pode filtrar por tipo de ausência (justification_type)
1541|     * - Percentual = (dias_ausentes / total_dias_registrados) × 100
1542|     * 
1543|     * Fontes:
1544|     * - activities + project_tasks (produtividade)
1545|     * - hit_the_spot + hit_the_spot_time (ausência)
1546|     * - work_shift (data de início da contagem)
1547|     * - work_shift_members (vínculo membro-turno)
1548|     * - company_members (membros ativos)
1549|     * - user_profile (nomes)
1550|     * - pay_off_absence / pay_off_license (tipos de ausência)
1551|     * 
1552|     * Filtros suportados:
1553|     * - tipo-ausencia: Filtra por tipos específicos de ausência
1554|     * - turno: Filtra por IDs de turnos
1555|     * - faixa-ausencia: Filtra por faixas de percentual (HAVING)
1556|     * - faixa-produtividade: Filtra por faixas de score (HAVING)
1557|     * 
1558|     * @param int $memberId ID do company_member para destacar no scatter
1559|     * @param array $filters Filtros ['tipo-ausencia' => [types], 'turno' => [ids], ...]
1560|     * @return array ['data' => [['x' => ausência%, 'y' => produtividade, 'label' => nome, 'is_target' => bool]]]
Request #49 deepseek-v4-flash P:58.74K C:2.04K CR:53.12K CW:0 15956ms
Reasoning
Confirmed: getTeamBoxplotWithMember, getProductivityRanking, getProductivityVsAbsenceScatter are **company/team-comparison charts** that aggregate all members (comment says "Ranking de TODOS os membros ativos da empresa"). Before the PR, `getChartData` did not set `$filters['membro']`; so these charts returned data for the whole team/company and the member was highlighted. Now, with the new line `$filters['membro'] = [(int) $memberId];`, `buildFilterClauses` (used by boxplot line 1148, ranking line 1410, scatter likely 1575) will append `cm.id IN (:membro_0)` restricting to a single member, breaking these comparisons: - Boxplot: each team's group will contain only the target member (if team assigned), total_members = 1. - Ranking: only the target member appears; highlighted_index=0. - Scatter: single point. Wait — is that really the intent? The PR says "Corrige a Análise Individual, onde gráficos com dados reais eram enviados à IA como vazios". The charts chart-boxplot-equipe-membro / ranking / scatter are for AI analysis of individual member in context of team. But injecting membro filter would collapse context. Also the purpose of the boxplot chart is to compare the member to team, so restricting to the member makes it useless. Let me confirm the old behavior: Did the previous code (pre-diff) set `$filters['membro']`? Look at diff: ``` - $memberId = $filters['member_id'] ?? null; + $memberId = $filters['member_id'] ?? $filters['membro'] ?? null; + if (!$memberId && !empty($filters['member_ids'])) { + $memberId = reset($filters['member_ids']); + } if (!$memberId) { throw new \InvalidArgumentException("member_id é obrigatório nos filtros para análise de membro"); } - return match($chartId) { + $filters['member_id'] = (int) $memberId; + $filters['membro'] = [(int) $memberId]; ``` Yes, `$filters['membro']` was NOT set before. Wait — but how were charts 2-7 previously scoped to the member? Hmm, some getters may not be member-scoped at all before this change and show company data. Actually those chart types (line 1 performance) presumably use member-specific queries inside. But here's a subtlety: before this change, these getters didn't have 'membro' in filters — except when the caller (some other path) explicitly passed 'membro' (e.g., dashboard KPI flows where filters include membro array from selectors). In the AI-analysis flow for member, the template sends `currentFilters` containing member_id; previously filters passed to getChartData = normalized filters; normalizer would NOT add membro (unless `member_ids` mapping key existed). So team charts would show whole company data, and the boxplot & ranking would correctly show many members. After this PR, they are collapsed to one member. But hmm — before this PR, the boxplot query returned company-wide and the "highlight" logic targeted the member. The intent of the chart IS to show team context. So adding `$filters['membro']` is a regression for these three charts. However, charts 2 (workload vs productivity), 3 (time by activity), 4 (deliveries) previously... Let me check: workload chart SQL had no `td.member_id` filter before? If the filters previously contained only member_id (not used by buildFilterClauses) then workload chart returned ALL company aggregated per day — data looked like company load over time. Actually maybe the AI analysis was previously presenting company-level data even for the member's page, which would be a bug being fixed here. That's plausibly the reason the PR was created: charts "carga vs produtividade" were not scoped to member. So both readings possible: 1. For charts 2,3,4: Adding membro scopes correctly to the member. Good — intended. 2. For charts 5,6,7 (team/ranking/scatter): the whole point is to compare across team/company. Adding membro filter destroys that comparison — regression. Since boxplot chart comment says "Produtividade da Equipe com Membro Destacado" and scatter "Membro × Time" and ranking "TODOS os membros" — the membro injection contradicts chart semantics and the highlighting logic (member is determined by highlight; not by filtering). These getters already receive memberId for highlighting. Injecting membro filter likely breaks the comparative charts, making them single member. That is a real finding not yet in confirmed list (finding 4 is about no authorization/validation for the memberId selection; finding 5 about duplicated catalog). This new finding: injection of `membro` collapses team-comparison charts to single member data. Let me double check scatter method to confirm it calls buildFilterClauses with the same filters including membro (line 1575 in range 1562-1760). Yes line 1575 = buildFilterClauses inside scatter. But wait: do these team queries even have a join alias `cm` available for the membro clause to be valid? All three query FROM company_members cm (ranking line 1440; boxplot CTE line 1169 with cm alias; scatter presumably FROM company_members cm). The extraWhere with `cm.id IN (:membro_0)` would be valid SQL and would restrict to single member. Yes. Now also — note getPerformanceLine (line 656) builds member-scoped data per its own query. Does it rely on 'membro' too? Let me quickly read getPerformanceLine to see how it scopes to member (memberId param) - fine. But hold on: before the change, was there any other path that already included `membro` in $filters passed to getChartData? Because the template for member analysis might send `membro` as a filter already (filter chips). If so, both pre/post behavior for these charts included membro... Actually the normalizer maps membro → member_ids but leaves normalized['membro']? It maps membro to member_ids and unsets? No — the keyMappings copy: it does not unset $filters[$oldKey]; step 6 copies leftover keys not yet in $normalized and not in keyMapping keys. So 'membro' original key is NOT copied (since it's in keyMappings). So 'membro' never appears in normalized filters. So before the PR, getChartData filters had member_id but no membro unless some other UI flows set member_ids. In those cases the new first part would set memberId from member_ids then also add membro. OK so the finding stands: `$filters['membro'] = [(int) $memberId];` applies to ALL chart getters, including team/ranking/scatter charts which aggregate all members to compare; filtering by single member collapses them. This affects boxplot/ranking/scatter charts (team comparisons). Whether this is an actual regression or an intended fix is ambiguous but the semantics of those three charts indicate they must keep all members. Actually let's think about who calls getChartData with those chartIds: ChartResolver for AI analysis. In that context the AI reads the JSON of the chart as shown. The boxplot is meant to show the member highlighted among team members — e.g., to explain where the member stands relative to team. With membro filter the AI will see only the member and no team distribution, making "insufficient data"/wrong conclusions. This is plausible but I need to be careful: maybe these charts were ALWAYS company-wide in the member page context and the intent is to filter them to just the member? No—chart names and docs say team comparison. I'll report this as a real issue with medium/high severity. Actually, wait. Let's check whether the AI-flow even handles these 3 chart types via the same path — yes, getChartData dispatches them all. Let me confirm the prior code didn't have any other filtering. Let me view the file before change? Not possible (we only have the current version). But the diff shows only these lines were added, so yes membro injection is new. Let me also verify scatter method body uses buildFilterClauses with same $filters that includes membro (not stripped). Read lines 1562-1760 quickly to be safe. Also examine getPerformanceLine (656-780) to make sure membro there doesn't break. Actually I think we have enough evidence: all three team-comparison methods call buildFilterClauses with the full $filters. So the `membro` filter will now be applied to them. Let me just read scatter quickly to confirm its join alias `cm` is used in WHERE — yes likely. Let me read lines 1562-1680.
Tool Calls (1)
file_read
Show Details
{"end_line": 1700, "file_path": "src/Service/PeopleAnalytics/MemberAnalysisService.php", "start_line": 1562}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php (Total lines: 2857)
IS_TRUNCATED: false
LINE_RANGE: 1562-1700
1562|    public function getProductivityVsAbsenceScatter(int $memberId, array $filters = []): array
1563|    {
1564|        $company = $this->userAccess->getSelectedCompany();
1565|        if (!$company) {
1566|            return ['data' => []];
1567|        }
1568|
1569|        $companyId = $company->getId();
1570|        
1571|        // Prepara parâmetros base
1572|        $params = ['companyId' => $companyId];
1573|        
1574|        // Constrói cláusulas de filtro dinâmicas
1575|        $filterClauses = $this->buildFilterClauses($filters, $params);
1576|        $extraJoinsProductivity = $filterClauses['joins'];
1577|        $extraWhereProductivity = $filterClauses['where'];
1578|        $extraHaving = $filterClauses['having'] ?? '';
1579|        
1580|        // Constrói filtro de tipo-ausencia para CTE absence
1581|        // Filtra diretamente pelo campo hit_the_spot.justification_type
1582|        $absenceWhere = '';
1583|        if (!empty($filters['tipo-ausencia'])) {
1584|            $placeholders = [];
1585|            foreach ($filters['tipo-ausencia'] as $i => $tipoAusencia) {
1586|                if ($tipoAusencia === 'sem_justificativa') {
1587|                    $placeholders[] = 'hs.justification_type IS NULL';
1588|                } else {
1589|                    $key = 'tipo_ausencia_' . $i;
1590|                    $placeholders[] = 'hs.justification_type = :' . $key;
1591|                    $params[$key] = $tipoAusencia;
1592|                }
1593|            }
1594|            if (!empty($placeholders)) {
1595|                $absenceWhere = ' AND (' . implode(' OR ', $placeholders) . ')';
1596|            }
1597|        }
1598|        
1599|        // Constrói filtro de turno para CTE absence
1600|        $absenceJoins = '';
1601|        $absenceTurnoWhere = '';
1602|        if (!empty($filters['turno'])) {
1603|            // O turno já está na query absence via work_shift_members
1604|            $placeholders = [];
1605|            foreach ($filters['turno'] as $i => $turnoId) {
1606|                $key = 'turno_absence_' . $i;
1607|                $placeholders[] = ':' . $key;
1608|                $params[$key] = $turnoId;
1609|            }
1610|            $absenceTurnoWhere = ' AND ws.id IN (' . implode(', ', $placeholders) . ')';
1611|        }
1612|
1613|        // Construir filtro HAVING para aplicar após cálculo dos campos
1614|        $havingFilter = '';
1615|        if (!empty($extraHaving)) {
1616|            // Remove o " AND " do início se existir
1617|            $havingFilter = 'WHERE ' . ltrim($extraHaving, ' AND ');
1618|        }
1619|        
1620|        // SQL com CTEs e FILTROS DINÂMICOS
1621|        $sql = "
1622|            WITH productivity AS (
1623|                SELECT
1624|                    cm.id AS company_member_id,
1625|                    cm.user_id,
1626|                    AVG(
1627|                        CASE
1628|                            WHEN pt.id IS NULL THEN NULL
1629|                            WHEN td.day <= DATE(pt.end_date)
1630|                                THEN 100
1631|                            ELSE GREATEST(
1632|                                    0,
1633|                                    100 - 10 * DATEDIFF(td.day, DATE(pt.end_date))
1634|                                 )
1635|                        END
1636|                    ) AS avg_productivity_score
1637|                FROM company_members cm
1638|                INNER JOIN timesheet_days td ON td.member_id = cm.id
1639|                INNER JOIN activities a ON a.timesheet_day_id = td.id
1640|                LEFT JOIN project_tasks pt ON pt.id = a.project_task_id
1641|                {$extraJoinsProductivity}
1642|                WHERE cm.company_id = :companyId
1643|                  AND cm.is_removed = 0
1644|                  AND a.project_task_id IS NOT NULL
1645|                  AND pt.end_date IS NOT NULL
1646|                  {$extraWhereProductivity}
1647|                GROUP BY cm.id, cm.user_id
1648|            ),
1649|            
1650|            absence AS (
1651|                SELECT
1652|                    cm.id AS company_member_id,
1653|                    SUM(
1654|                        CASE
1655|                            WHEN hst.type = 'first_check_in'
1656|                             AND hst.status = 'ausente'
1657|                            THEN 1
1658|                            ELSE 0
1659|                        END
1660|                    ) AS absent_days,
1661|                    COUNT(*) AS total_days
1662|                FROM company_members cm
1663|                INNER JOIN work_shift_members wsm ON wsm.member_id = cm.id
1664|                INNER JOIN work_shift ws ON ws.id = wsm.work_shift_id
1665|                INNER JOIN hit_the_spot hs 
1666|                    ON hs.user_id = cm.user_id
1667|                    AND DATE(hs.created_at) >= DATE(ws.created_at)
1668|                INNER JOIN hit_the_spot_time hst ON hst.hit_the_spot_id = hs.id
1669|                WHERE cm.company_id = :companyId
1670|                  AND cm.is_removed = 0
1671|                  AND hst.type = 'first_check_in'
1672|                  {$absenceTurnoWhere}
1673|                  {$absenceWhere}
1674|                GROUP BY cm.id
1675|            ),
1676|            
1677|            result_data AS (
1678|                SELECT
1679|                    p.company_member_id,
1680|                    p.user_id,
1681|                    p.avg_productivity_score,
1682|                    (a.absent_days / a.total_days) * 100 AS absence_percentage
1683|                FROM productivity p
1684|                INNER JOIN absence a ON a.company_member_id = p.company_member_id
1685|                WHERE p.avg_productivity_score IS NOT NULL
1686|                  AND a.total_days > 0
1687|            )
1688|            
1689|            SELECT *
1690|            FROM result_data
1691|            {$havingFilter}
1692|            ORDER BY avg_productivity_score DESC
1693|        ";
1694|
1695|        $stmt = $this->em->getConnection()->prepare($sql);
1696|        
1697|        // Bind dinâmico de todos os parâmetros
1698|        foreach ($params as $key => $value) {
1699|            $stmt->bindValue($key, $value);
1700|        }
Request #50 deepseek-v4-flash P:62.49K C:1.4K CR:60.67K CW:0 12010ms
Reasoning
Confirmed for scatter too. The scatter "result_data" query — does it have alias cm to filter? extraWhere references cm.id in the productivity CTE (yes, extraWhere inserted inside productivity CTE WHERE). So the whole scatter will collapse to one member. Wait, though — there's another wrinkle. Is it possible that previously the template actually sent member only for individual charts, and boxplot/ranking/scatter charts aren't part of "Análise Individual" screens? They ARE part of MemberAnalysisService's chart list (chart-*). The dispatch list includes them. So yes. So this is a valid NEW finding: at MemberAnalysisService.getChartData, forcing `$filters['membro'] = [$memberId]` for every chart breaks comparison charts (boxplot, ranking, scatter) that are meant to include the whole team, causing them to return a single member (and the highlighted member only). Previously the memberId param was used just for highlight. Severity: high — produces wrong payload/AI interpretation; possibly empty/insufficient? Actually with data restricted to the member, they would NOT be empty; but they lose team context. Hmm, is this a "regression"? Let's think about what happens to those charts on the member detail page (as presented to the user). If the user opens individual analysis and clicks the boxplot "equipe + membro" — they would previously see the whole team boxplot with member highlighted, and now see a single-point boxplot. Yes regression. Let me now consider: maybe previously these charts were ALSO showing only that member because filters passed by the calling template included `membro`. Actually normalizer maps 'membro' to member_ids; then (in the same old code) normalized filters would include member_ids array but not membro, and buildFilterClauses doesn't use member_ids, only 'membro'. So the old path wouldn't collapse. New code collapses. OK. But wait — maybe the old flow never sent memberId at all to these getters, and these charts previously showed whole-company? Given the file line 1134 etc., getChartData always required member_id in filters, and chart methods like getTimeByActivityType clearly have docs "Agrega dados de TODOS os membros da empresa" and param memberId is "[FUTURO] Será usado para filtro individual". So these charts intentionally aggregate all members even in "member analysis"; the highlight distinguishes the member. So injecting membro filter contradicts that design note. Good. Now: is there any possibility that the fix intends to make charts 2/3/4 member-scoped AND charts 5/6/7 company-wide? Then the correct fix would be to conditionally apply the membro filter only to the member-scoped charts. So recommendation: apply membro only for chartIds that represent member-level series, and keep team charts unrestricted. I'll report this as one new finding on MemberAnalysisService at line 60 `$filters['membro'] = [(int) $memberId];`. Wait — but hold on. Consider whether these "team" charts could be correct scoped to just the member in the AI context. The chart is described as: Boxplot of the team's productivity with the member highlighted; ranking of all members with the member highlighted; scatter comparing member with team. The AI prompt wants context: where the member stands. Filtering to one member makes the data misleading: boxplot over a single value etc. Definitely a bug. But hmm, is this already implicitly covered by confirmed finding #4 or #5? #4 is about authorization/validation in the AI endpoint (the endpoint doesn't validate that the memberId belongs to the user's company). #5 about duplicated catalog. Not this. Now let me also think about the **JS file's `setButtonLoading` fallback delegation to `window.setButtonLoading`** — need to confirm global exists with signature. It's used only in produtividade-dashboard (not in review group). This file is a shared helper used by other modules modified in the same PR. If the global `window.setButtonLoading` doesn't exist in pages where this helper is used, fallback handles it. OK. Let me look at the JS helper for potential bug around `$.ajax` and `reject` on error plus `finally`. `Promise` `finally` is fine in modern browsers. Actually potential bug: In `bind`, when the button is clicked a second time after the request finished, the panel stays (rendered) and new request will render new analysis — fine. Another: `button.dataset.adrianaAnalysisBound` guard. If module config changes on same DOM (dynamic re-init after filter change?), binding won't update chartMap for that button. produtividade-dashboard maybe re-initializes after AJAX reloads? Could be issue but speculative. Another potential NEW JS issue: in `requestAnalysis`, when ajax `.done` returns success but `json.ai_analysis` null/missing (like privacy fallback?) — resolve {}. renderAnalysis would render panel with default title "Análise do gráfico" and empty content — not the privacy fallback message. Let me inspect ChartAiAnalysisService's privacy fallback response shape to check. If privacy fallback returns success true with ai_analysis with messages? Let me read ChartAiAnalysisService privacy fallback and insufficient-data response. Search in ChartAiAnalysisService for fallback. Actually the JS `renderAnalysis` expects fields key_insights etc. If the backend returns e.g. `ai_analysis` array with 'title' and message but also different fields... Let me read ChartAiAnalysisService around privacy fallback (privacyFallback?) and the callDeepSeek parsing. Let me read the whole ChartAiAnalysisService around the changed area (lines 1-180, and 500-650).
Tool Calls (2)
file_read
Show Details
{"end_line": 180, "file_path": "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php", "start_line": 40}
File: src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php (Total lines: 655)
IS_TRUNCATED: false
LINE_RANGE: 40-180
40|     * @param string $question Pergunta do usuário (opcional)
41|     * @return array Resultado completo da análise
42|     */
43|    public function analyze(
44|        string $module,
45|        string $chartId,
46|        array $filters = [],
47|        string $question = 'Explique os principais insights e pontos de atenção'
48|    ): array {
49|        try { 
50|
51|            $resolved = $this->chartResolver->resolve($module, $chartId, $filters);
52|
53|            // 2. Canonizar dados
54|            $canonical = $this->canonicalizer->canonicalize(
55|                $resolved['chart_data'],
56|                $resolved['chart_meta']
57|            );
58|
59|            // 3. Calcular métricas derivadas
60|            $derivedMetrics = $this->metricsCalculator->calculate(
61|                $canonical['data'],
62|                $canonical['canonical_shape']
63|            );
64|
65|            // 4. Verificar qualidade dos dados
66|            $qualityFlags = $this->calculateQualityFlags($canonical['data'], $canonical['canonical_shape']);
67|
68|            // 5. Verificar privacidade
69|            $privacyCheck = $this->checkPrivacy($canonical['data'], $resolved['chart_meta']);
70|            
71|            if (!$privacyCheck['allowed']) {
72|                return $this->privacyFallbackResponse($module, $chartId, $resolved);
73|            }
74|
75|            // 6. Montar payload para IA
76|            $aiPayload = [
77|                'module' => $module,
78|                'chart_id' => $chartId,
79|                'chart_title' => $resolved['chart_meta']['title'],
80|                'chart_type' => $resolved['chart_meta']['chart_type'],
81|                'canonical_shape' => $canonical['canonical_shape'],
82|                'metric_name' => $resolved['chart_meta']['metric_name'] ?? 'Valor',
83|                'metric_unit' => $resolved['chart_meta']['metric_unit'] ?? '',
84|                'filters_applied' => $resolved['filters_applied'],
85|                'data' => $canonical['data'],
86|                'derived_metrics' => $derivedMetrics,
87|                'quality_flags' => $qualityFlags,
88|                'privacy_min_group' => $resolved['chart_meta']['privacy_min_group'] ?? 5
89|            ];
90|
91|            if ($this->hasInsufficientData($qualityFlags, $derivedMetrics)) {
92|                return $this->insufficientDataResponse($module, $chartId, $resolved, $aiPayload);
93|            }
94| 
95|           
96|            $aiResponse = $this->callDeepSeek($aiPayload, $question);
97|
98|            // 8. Validar resposta
99|            $validated = $this->validateResponse($aiResponse, $aiPayload);
100|
101|            // 9. Retornar resultado completo
102|            return [
103|                'success' => true,
104|                'module' => $module,
105|                'chart_id' => $chartId,
106|                'filters_applied' => $resolved['filters_applied'],
107|                'chart_meta' => $resolved['chart_meta'],
108|                'chart_data' => $resolved['chart_data'],
109|                'ai_payload' => $aiPayload,
110|                'ai_analysis' => $validated,
111|                'ai_provider' => 'deepseek',
112|                'ai_model' => 'deepseek-chat',
113|                'generated_at' => (new \DateTime())->format('c')
114|            ];
115|
116|        } catch (\Exception $e) {
117|            $this->logger->error('[AI Analysis] Erro', [
118|                'module' => $module,
119|                'chartId' => $chartId,
120|                'error' => $e->getMessage()
121|            ]);
122|
123|            return [
124|                'success' => false,
125|                'error' => $e->getMessage(),
126|                'module' => $module,
127|                'chart_id' => $chartId
128|            ];
129|        }
130|    }
131|
132|    /**
133|     * Chama o DeepSeek com o payload preparado
134|     */
135|    private function callDeepSeek(array $payload, string $question): array
136|    {
137|        //Veja que ao acessar a tela retorna dados!! Porem no retorno do deep seek fala que nao tem dado suficiente para analisar.
138|        //dd($aiPayload, $question);
139|        //XHRGET  http://127.0.0.1:8000/people-analytics/api/diversidade/genero-area
140|        //{"success":true,"data":{"categories":["Cozinha","Dev"],"series":[{"name":"Masculino","data":[60,40],"color":"#4A90D9"},{"name":"Feminino","data":[40,60],"color":"#E85D75"},{"name":"N\u00e3o Informado","data":[0,0],"color":"#95A5A6"}],"chartType":"bar-stacked"}}
141|        
142|        // Construir prompt estruturado
143|        $systemPrompt = $this->buildSystemPrompt();
144|        $userPrompt = $this->buildUserPrompt($payload, $question);
145|        // dd($userPrompt,$systemPrompt);
146|        // ChartAiAnalysisService.php on line 141:
147|        // """
148|        // Analise o seguinte gráfico de People Analytics:
149|
150|        // CONTEXTO:
151|
152|
153|        // - Módulo: diversidade_inclusao
154|
155|
156|        // - Gráfico: Gráfico
157|
158|
159|        // - Tipo: unknown
160|
161|
162|        // - Formato: category_series
163|
164|
165|        // - Métrica: Valor 
166|
167|
168|
169|        // FILTROS APLICADOS:
170|
171|
172|        // {
173|
174|
175|        //     "start_date": "2025-12-04",
176|
177|
178|        //     "end_date": "2026-01-04",
179|
180|
file_read
Show Details
{"end_line": 660, "file_path": "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php", "start_line": 520}
File: src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php (Total lines: 655)
IS_TRUNCATED: false
LINE_RANGE: 520-655
520|
521|    /**
522|     * Valida a resposta da IA
523|     */
524|    private function validateResponse(array $response, array $payload): array
525|    {
526|        // Garantir campos obrigatórios
527|        $validated = [
528|            'title' => $response['title'] ?? 'Análise do Gráfico',
529|            'summary' => $response['summary'] ?? '',
530|            'key_insights' => $response['key_insights'] ?? [],
531|            'projections' => $response['projections'] ?? [], // ⭐ NOVO: Campo de projeções
532|            'attention_points' => $response['attention_points'] ?? [],
533|            'recommended_actions' => $response['recommended_actions'] ?? [],
534|            'follow_up_questions' => $response['follow_up_questions'] ?? [],
535|            'limitations' => $response['limitations'] ?? [],
536|            'confidence' => $response['confidence'] ?? 'medio'
537|        ];
538|
539|        // TODO: Validação numérica avançada (comparar números no texto com derived_metrics)
540|
541|        return $validated;
542|    }
543|
544|    /**
545|     * Calcula quality flags dos dados
546|     */
547|    private function calculateQualityFlags(array $data, string $shape): array
548|    {
549|        $flags = [];
550|
551|        // Verificar dados vazios
552|        if (empty($data)) {
553|            $flags[] = 'empty_data';
554|            return $flags;
555|        }
556|
557|        // Verificações específicas por shape
558|        switch ($shape) {
559|            case 'time_series':
560|                if (empty($data['labels']) || empty($data['datasets'])) {
561|                    $flags[] = 'missing_dimensions';
562|                }
563|                break;
564|
565|            case 'category_series':
566|                if (empty($data['categories']) || empty($data['series'])) {
567|                    $flags[] = 'missing_dimensions';
568|                }
569|                break;
570|        }
571|
572|        return $flags;
573|    }
574|
575|    /**
576|     * Verifica privacidade dos dados
577|     */
578|    private function checkPrivacy(array $data, array $metadata): array
579|    {
580|        // TODO: Implementar verificação real de privacidade
581|        // Por enquanto, sempre permitir
582|        return ['allowed' => true];
583|    }
584|
585|    private function hasInsufficientData(array $qualityFlags, array $derivedMetrics): bool
586|    {
587|        return in_array('empty_data', $qualityFlags, true)
588|            || in_array('missing_dimensions', $qualityFlags, true)
589|            || empty($derivedMetrics);
590|    }
591|
592|    private function insufficientDataResponse(string $module, string $chartId, array $resolved, array $aiPayload): array
593|    {
594|        return [
595|            'success' => true,
596|            'module' => $module,
597|            'chart_id' => $chartId,
598|            'filters_applied' => $resolved['filters_applied'],
599|            'chart_meta' => $resolved['chart_meta'],
600|            'chart_data' => $resolved['chart_data'],
601|            'ai_payload' => $aiPayload,
602|            'ai_analysis' => [
603|                'title' => 'Dados insuficientes para análise',
604|                'summary' => 'Não há dados suficientes para gerar uma análise confiável neste recorte.',
605|                'key_insights' => [],
606|                'projections' => [],
607|                'attention_points' => [
608|                    'O gráfico não retornou categorias, séries ou métricas suficientes para análise.',
609|                ],
610|                'recommended_actions' => [
611|                    'Verifique se o colaborador possui dados no período selecionado.',
612|                    'Amplie o período ou ajuste os filtros antes de solicitar a análise novamente.',
613|                ],
614|                'follow_up_questions' => [],
615|                'limitations' => [
616|                    'A análise automática não foi enviada à IA porque o payload não contém dados mínimos.',
617|                ],
618|                'confidence' => 'baixo',
619|            ],
620|            'ai_provider' => null,
621|            'ai_model' => null,
622|            'generated_at' => (new \DateTime())->format('c')
623|        ];
624|    }
625|
626|    /**
627|     * Resposta fallback para casos de privacidade
628|     */
629|    private function privacyFallbackResponse(string $module, string $chartId, array $resolved): array
630|    {
631|        return [
632|            'success' => true,
633|            'module' => $module,
634|            'chart_id' => $chartId,
635|            'filters_applied' => $resolved['filters_applied'],
636|            'chart_meta' => $resolved['chart_meta'],
637|            'chart_data' => $resolved['chart_data'],
638|            'ai_analysis' => [
639|                'title' => 'Dados Insuficientes',
640|                'summary' => 'Os dados disponíveis não atendem aos requisitos mínimos de privacidade para análise detalhada.',
641|                'key_insights' => [],
642|                'attention_points' => ['Grupos com menos de 5 membros foram suprimidos por privacidade'],
643|                'recommended_actions' => ['Ampliar os filtros para incluir mais dados'],
644|                'follow_up_questions' => [],
645|                'limitations' => ['Análise limitada por requisitos de privacidade (LGPD)'],
646|                'confidence' => 'baixo'
647|            ],
648|            'ai_provider' => 'deepseek',
649|            'generated_at' => (new \DateTime())->format('c')
650|        ];
651|    }
652|}
653|
654|
655|
Request #51 deepseek-v4-flash P:66.95K C:1.78K CR:63.87K CW:0 15202ms
Reasoning
Now, notable issue about `hasInsufficientData` and the AI JS module: When it returns `success: true` with `ai_analysis` structure with arrays fields, the JS `renderAnalysis` renders fine. Note: `insufficientDataResponse` returns `success: true` yet `ai_provider: null`. In adriana JS `renderAnalysis`, it renders static text. OK. Now about `hasInsufficientData`: `empty($derivedMetrics)` is true when derived metrics is empty, which happens when the calculator has no method for the shape (returns []) or... Wait — careful! For shapes where data legitimately exists but metrics calculation doesn't produce a 'series_metrics' etc., derivedMetrics is non-empty. But for certain chart types that have data but no derived-metric method (returns []), the code would classify as "dados insuficientes". Which shapes exist? calculateTimeseriesMetrics, calculateCategoryseriesMetrics, calculateHeatmapMetrics, calculateBoxplotMetrics, calculateScatterMetrics, calculateFunnelMetrics — all in the calculator. method name derives from shape: canonical shapes probably: time_series, category_series, heatmap, boxplot, scatter, funnel. So all covered. But here's an important issue: for timeseries with labels but where the datasets have no numeric data (or only 1 label), metrics might be present. Not worth. But note new regression: **hasInsufficientData triggers for modules other than member analysis** (finding 2 covers that text is member-specific for other modules). Also, there's a subtle bug in hasInsufficientData when derivedMetrics is empty because values exist but only series-level; but that is intended. Let's examine the "member boxplot" canonical shape. For boxplot, canonical data includes categories/teams, and derived metrics calculated (boxplot). So fine. But wait, in the boxplot after my earlier concern, if membro filter collapses to a single member, the canonical shape boxplot with data for single member (maybe box with single value) — metrics = group_count 1, medians with 1. derivedMetrics non-empty (non-empty boxData). So not insufficient, but misleading data. Now consider **time_series for chart-linha-desempenho**: The MemberAnalysisService previously returned chart data with labels/datasets; metadata now added type 'line' (title/type). chart_meta canonical shape inference uses type. Good. Wait — actually, look closer at array_merge with chartMetadata then chartData. chartData has keys labels, datasets, metadata. chartMetadata has title/type. Resolver's getChartMetadata picks title/type from chartData. So canonical_shape inferred from type. Before PR, MemberAnalysisService getChartData returned raw chart data WITHOUT title/type, so canonical_shape inference fell to structure; for member line chart: labels are dates, datasets; inferCanonicalShapeFromStructure would detect labels as date pattern -> time_series. Probably same result. For donut chart-tempo-atividade data: returns ['labels'=>..., 'data'=>...]; type 'donut' now; canonical shape category_series. OK. Now let's examine `getPerformanceLine` and `getTimeByActivityType` & `getDeliveriesByProject`: these use buildFilterClauses with 'membro' now set, scoping them to the member. But wait, `getDeliveriesByProject` joins `company_members cm ON cm.user_id = pt.project_task_created_by_user_id` and `membro` filter restricts cm.id = memberId — okay, scope to member creator. That seems intended for member analysis. Now, chart-linha-desempenho getPerformanceLine — likely scope per member via SQL but I saw earlier only summary? Let me check 656-780 later. But probably it filters by member. Actually wait, though — for chart 2 (workload vs productivity), the PR's purpose: fix that graphs with real data were being sent to AI as empty. This bug was because filters (dates) restricted. Now consider chart 2: previously buildFilterClauses got filters with dates (default 6-month), member scope didn't exist → the chart returned company-wide data per day, and quality flags were not empty, so it WAS sent to AI (as company data?) — Not empty. Hmm, so the original bug of "dados reais enviados como vazios" likely relates to the new behavior that if the member had no data in the default period the chart is empty. OK not our problem. But there is something to examine: **The controller always added default dates** (from normalizer) for the member module (old code path) → queries restricted to last 6 months → maybe empty for some members → now they unset dates when no periodo to fetch all historical data → charts have data. And resolver also unsets default dates again. And member analysis service getters: if no start/end in filters, no date restriction (all data). That fixes empties. But here's an important thing: Now that date filters are removed entirely (no date restriction), the AI analysis will include ALL historical data. Might be intended. Now check the interplay: Controller unsets dates in `$filters` AFTER normalize, but then it does NOT keep raw; then aiAnalysisService->analyze(module, chartId, filters...). resolve() normalizes AGAIN → adding default dates unless start/end given → then resolver unsets them again because no periodo & no explicit start/end in raw filters → dates removed. OK double guard. But note: after controller unsets start_date/end_date, `$filters` also may still include keys copied from raw filters such as 'membro'? no. Also the raw filters key start_date/end_date presence check in resolver is based on the ORIGINAL filters passed to resolve (which after controller removal no longer contain start/end). So both work. Wait, but there's a subtle bug: In resolver, the check for whether to unset depends on `!isset($filters['periodo']) && !isset($filters['start_date']) && !isset($filters['end_date'])`. But in the controller path, `$filters['periodo']` might still be present (normalizer doesn't remove periodo? Actually in the normalizer, `periodo` string is consumed and unset from $filters (line 28: `unset($filters['periodo'])`). Then copied back? In step 6 they copy leftover keys: `if (!isset($normalized[$key]) && !in_array($key, array_keys($keyMappings)))`. `periodo` was unset from $filters before copying, so it won't be copied. So resolver sees no periodo in filters, plus controller may still have start/end only if present in original raw filters... This is fine. Anyway the confirmed findings 1, 4, 5 cover the main ones. The remaining new issue I found is the `membro` injection regression for the team-comparison charts in MemberAnalysisService. Let me carefully validate pre/post behavior using git diff context we have: only the added lines are those. So yes new code adds `$filters['membro'] = [(int) $memberId];`. Actually wait — I need to double check: is it possible that `$filters['membro']` already existed before in other callers (like KPIs) — not relevant; the new injection now includes membro even for these charts in the AI path. But hold on: getChartData is also called by other controllers? Search callers of getChartData. If getChartData used by the dashboard page rendering individual charts, they'd already pass member_id plus other filters maybe including membro? Let me search who calls getChartData.
Tool Calls (2)
code_search
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{"search_text": "getChartData\\(", "file_patterns": ["src/"]}
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code_search
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{"search_text": "MemberAnalysisService", "file_patterns": ["src/Controller/", "src/Service/"]}
File: src/Controller/Api/PeopleAnalytics/MemberAnalysisController.php
Match lines: 12
5|use App\Service\PeopleAnalytics\MemberAnalysisService;
22|        private MemberAnalysisService $memberAnalysisService,
120|        $em = $this->memberAnalysisService->getEntityManager();
214|        $data = $this->memberAnalysisService->getPerformanceLine($memberData['userId'], $filters);
248|        $data = $this->memberAnalysisService->getWorkloadVsProductivity($memberData['userId'], $filters);
283|        $data = $this->memberAnalysisService->getTimeByActivityType($memberData['userId'], $filters);
319|        $data = $this->memberAnalysisService->getDeliveriesByProject($memberData['userId'], $filters);
357|        $data = $this->memberAnalysisService->getTeamBoxplotWithMember($memberData['memberId'], $filters);
391|        $data = $this->memberAnalysisService->getProductivityRanking($memberData['userId'], $filters);
425|        $data = $this->memberAnalysisService->getProductivityVsAbsenceScatter($memberData['userId'], $filters);
466|        $kpis = $this->memberAnalysisService->getMemberKpis($targetMemberId, $filters);
494|        $em = $this->memberAnalysisService->getEntityManager();

File: src/Controller/Api/PeopleAnalytics/ProdutividadeController.php
Match lines: 10
5|use App\Service\PeopleAnalytics\MemberAnalysisService;
19| * Usa MemberAnalysisService como base (lógica já implementada)
25|        private MemberAnalysisService $memberAnalysisService,
200|        $boxplotData = $this->memberAnalysisService->getTeamBoxplotWithMember(0, $filters);
267|        $data = $this->memberAnalysisService->getTeamBoxplotWithMember(0, $filters);
289|        $data = $this->memberAnalysisService->getProductivityRanking(0, $filters);
302|     * Filtros globais suportados (aplicados automaticamente pelo MemberAnalysisService):
323|        $data = $this->memberAnalysisService->getTimeByActivityType(0, $filters);
377|        $data = $this->memberAnalysisService->getProductivityVsAbsenceScatter(0, $filters);
405|        $conn = $this->memberAnalysisService->getEntityManager()->getConnection();

File: src/Service/PeopleAnalytics/Chart/ChartResolver.php
Match lines: 3
9|use App\Service\PeopleAnalytics\MemberAnalysisService;
30|        MemberAnalysisService $memberAnalysisService,
42|            'analise_de_membro' => $memberAnalysisService,

File: src/Service/PeopleAnalytics/CostOverviewService.php
Match lines: 11
111|    private ?MemberAnalysisService $memberAnalysisService;
117|        ?MemberAnalysisService $memberAnalysisService = null
122|        $this->memberAnalysisService = $memberAnalysisService;
2457|     * ⚠️ REQUER: MemberAnalysisService injetado no construtor
2461|     * - Eixo Y (Produtividade): Score de produtividade do MemberAnalysisService
2464|     * Integração MemberAnalysisService:
2478|     * - MemberAnalysisService: Scores de produtividade
2499|     * @throws \Exception Se MemberAnalysisService não estiver disponível
2503|        if (!$this->memberAnalysisService) {
2504|            throw new \Exception('MemberAnalysisService não disponível para este gráfico');
2555|        // TODO: Integrar com MemberAnalysisService para obter produtividade

File: src/Service/PeopleAnalytics/Import/ChartDataImportService.php
Match lines: 6
16|use App\Service\PeopleAnalytics\MemberAnalysisService;
41|    private ?MemberAnalysisService $memberAnalysisService;
58|        MemberAnalysisService $memberAnalysisService = null
74|        $this->memberAnalysisService = $memberAnalysisService;
643|            if ($module === 'analise_de_membro' && $this->memberAnalysisService) {
645|                return $this->memberAnalysisService->getChartData($chartId, $filters);

File: src/Service/PeopleAnalytics/Import/ExcelTemplateGeneratorService.php
Match lines: 6
7|use App\Service\PeopleAnalytics\MemberAnalysisService;
28|        private ?MemberAnalysisService $memberAnalysisService = null,
310|        if (!$this->memberAnalysisService && !$this->produtividadeService) {
314|        $service = $module === 'produtividade' ? $this->produtividadeService : $this->memberAnalysisService;
365|        if (!$this->memberAnalysisService) {
369|        return $this->memberAnalysisService->getChartData($chartId, $filters);

File: src/Service/PeopleAnalytics/MemberAnalysisService.php
Match lines: 1
25|class MemberAnalysisService

File: src/Service/PeopleAnalytics/Metadata/ProdutividadeMetadata.php
Match lines: 1
11| * pois compartilham a mesma lógica de backend (MemberAnalysisService)

File: src/Service/PeopleAnalytics/ProdutividadeDashboardDataService.php
Match lines: 6
16|        private MemberAnalysisService $memberAnalysisService,
37|        return $this->memberAnalysisService->getMemberKpis(0, $filters);
42|        return $this->memberAnalysisService->getPerformanceLine(0, $filters);
47|        return $this->memberAnalysisService->getDeliveriesByProject(0, $filters);
58|        $conn = $this->memberAnalysisService->getEntityManager()->getConnection();
540|        $stmt = $this->memberAnalysisService->getEntityManager()->getConnection()->prepare($sql);

File: src/Service/PeopleAnalytics/ProdutividadeService.php
Match lines: 9
10| * Wrapper do MemberAnalysisService com mapeamento correto de chartIds
16|        private MemberAnalysisService $memberAnalysisService,
33|        // para os métodos do MemberAnalysisService
105|        // Chama o método real do MemberAnalysisService
106|        $data = $this->memberAnalysisService->getDeliveriesByProject(0, $filters);
128|        $boxplotData = $this->memberAnalysisService->getTeamBoxplotWithMember(0, $filters);
333|        // Usa o método real do MemberAnalysisService
334|        $rankingData = $this->memberAnalysisService->getProductivityRanking(0, $filters);
388|        $data = $this->memberAnalysisService->getProductivityVsAbsenceScatter(0, $filters);

Request #52 deepseek-v4-flash P:70.27K C:4.42K CR:68.74K CW:0 37783ms
Reasoning
Interesting: In `MemberAnalysisController.php` (the dedicated member analysis REST controller), the individual charts are called with different id semantics: getPerformanceLine($memberData['userId'], ...), getWorkloadVsProductivity($memberData['userId'], ...), but getTeamBoxplotWithMember($memberData['memberId'], ...), and getProductivityRanking($memberData['userId']...). Wait — the signature for the member "userId" vs "memberId". In getChartData (new dispatch) all pass `$memberId` (company_member id) to all methods. But the dedicated controller passes `userId` for performance, workload, time, deliveries, ranking; and `memberId` (company member id) for boxplot and scatter. Hmm. That reveals these getter methods may interpret the first param as USER id for some and MEMBER id for others! E.g., getProductivityRanking receives `userId` from MemberAnalysisController. So in getChartData (used by ChartResolver AI flow) they pass `$memberId` — which is the company_member id from normalizer (cm.id). But the ranking method uses it only to set `highlighted_index` when `(int)$row['company_member_id'] === $memberId`. If the passed value is a user_id, it's compared to company_member_id, which wouldn't match. Actually, `MemberAnalysisController` passes userId to ranking, so `highlight` matches if company_member_id == userId? Hmm company_member_id is cm.id; userId is cm.user_id. Wait, that seems wrong in the dedicated controller too, but maybe company_member_id happens to equal user_id in this system? Not necessarily. This is getting too deep; the semantics between the existing dedicated controller (userId) and the new chart resolver (memberId cm.id) might be inconsistent across chart types, which affects correctness of highlight. But that inconsistency predates? Not in diff except the new metadata & dispatch which call all getters with memberId. Well the dispatch with memberId existed before (getChartData always dispatched with $memberId). So not new. But the key new finding stands: adding membro filter to all charts now scopes team-comparison charts to the single member. Hmm wait — but before this change, how did getChartData scope chart 1 (performance line) to the member? getPerformanceLine signature memberId; it's used elsewhere with userId too (dedicated controller line 214 passes userId!). So chart data returned per user vs per company_member id may be inconsistent. Not part of diff. Let me verify getPerformanceLine uses memberId in SQL filtering. Read 656-780. Actually, let me focus: The biggest risk with our new finding is that `$filters['membro']` is being applied to all charts including comparison charts. However, I must confirm whether before the fix the three comparison charts were truly unrestricted (they'd show whole company data) and whether that is expected on member analysis screen — probably yes, as they highlight the member. Now, consider the boxplot CTE: With membro filter `cm.id IN (:membro_0)` inside member_productivity CTE, member_teams CTE still lists all teams but INNER JOIN reduces result to the single member; then teamsData each team only has the member if in that team; other teams omitted. Team distributions gone. So it changes what chart shows. Given the boxplot's purpose: comparing member productivity distribution against the team/company — this is now broken. OK. Now — one more thing to verify: does `chartId` for member module even include these team charts on the actual member analysis detail screen? The AI analysis on chart detail for module analise_de_membro, chartIds such as 'chart-boxplot-equipe-membro', 'chart-ranking-produtividade', 'chart-scatter-prod-ausencia' are legitimate members of dispatch — yes they're in getChartData's match. I'm fairly confident this is a NEW real finding, severity high. Let me now confirm more precisely the pre-change state of this file by looking at whether there were previous lines that set membro in getChartData. From the diff, no. The change to `$filters['membro'] = [(int) $memberId];` is newly added. Good. Wait — actually, could `$filters['membro'] = [(int) $memberId];` have been added to make `getDeliveriesByProject` and others use the membro filter to scope by member because they ignore $memberId param? Yes—for charts 2/3/4 that previously ignored memberId (comments "[FUTURO] será usado para filtro individual"), the membro injection scopes to the member. But charts 5/6/7 use memberId only for highlight and are meant to keep all members. So the fix helps some charts and breaks others. A conditional approach per chartId is needed. So the comment: "Ao injetar o filtro de membro em todos os gráficos do módulo, os três gráficos comparativos (boxplot da equipe, ranking e scatter membro×time) passam a restringir a consulta a um único colaborador..." with advice: aplicar o filtro apenas para os gráficos individuais; nos comparativos manter todos os membros e usar apenas o highlight. Now let's consider a couple more possible issues: **Template chart_detail: uses `delete currentFilters.periodo` etc.** Wait: `periodo` — currentFilters from `window.PeopleAnalyticsFilters.getCurrentFilters()` maybe nested objects. Deleting filters might conflict: If the module isn't analise_de_membro the delete isn't executed. For member module, fine. But note: `memberId = urlParams.get('member_id') || urlParams.get('membro'); if (memberId) { currentFilters.member_id = memberId; }` — memberId could be e.g. from a dashboard URL used also when module is analise_de_membro. This overrides whatever currentFilters had (e.g. selected member from PeopleAnalyticsFilters) with URL param, forcing server to analyze that member. If URL lacks member, but the user selected a member on the screen, the filters retain selection. OK. But wait, does the member analysis page include `member_id` URL param? Probably. If URL has `membro=5` and currentFilters has member_id for selected member, then override with 5 from URL — maybe a stale URL value would force the wrong member while the on-screen filter shows another member. But since the page is for a specific member, URL param likely matches. Marginal. Also if URL param is array (repeated `membro[]`), URLSearchParams.get returns first value only. Then `member_id` = '1', and the plural? It would silently ignore rest. Meh. **Now JS helper `adriana-chart-analysis.js` details:** Actually wait — there's a real subtle bug: In `requestAnalysis`, the `question` callback returns default only if not function; but if `options.question` is an empty string it's falsy? The ternary: `typeof options.getQuestion === 'function' ? options.getQuestion(chartId) : (options.question || DEFAULT_QUESTION)` — empty string => default. Fine. Let's now examine the loading fallback: `setButtonLoading(button, isLoading, loadingText)`: if `window.setButtonLoading` exists, delegates and returns early, skipping internal behavior. But when delegating, the internal loading text uses loadingText param which is a fixed global per call; fine. Now potential NEW JS issue: When `bind()` is called, if `config.chartMap` empty and module undefined warn returns before binding. Fine. Check the panel CSS class naming: panel.className 'pa-prod-analysis-panel' etc. It's reused. Whatever. **Missing CSRF**: The new JS helper and template fetch do not send CSRF token. But is this cookie-auth app? The rule says: "Chamada AJAX que muta dado deve enviar token CSRF...". However the same endpoints in existing code use `X-Requested-With` and presumably CSRF is not required for this JSON endpoint (maybe session-based auth with cookie: sending fetch credentials same-origin and POST without CSRF could be CSRF-vulnerable if cookie-based). But other modules already did that before, and this is an existing pattern. Given the rule: state-changing browser requests missing CSRF when cookie-based authentication makes CSRF possible → flag? Hmm. The POST endpoint requires `X-Requested-With` header — but that can't be set cross-origin without CORS preflight; browsers block setting X-Requested-With cross-origin without CORS allow. That is a form of CSRF mitigation (custom header requirement), but Symfony CSRF token still standard. Existing endpoints already POST without CSRF token, so this is pre-existing pattern across the codebase; not introduced only by this PR (the new JS helper replicates produtividade-dashboard behavior). It might be worth a low note, but the review rules say to focus on issues in changed code; the new adriana-chart-analysis.js introduces an AJAX POST without CSRF token in a new helper. But since the endpoint existed before and other callers also don't send CSRF, and there's a custom header guard, I think flagging is weak. Yet the guidelines specifically state for controller: "Toda mutação (create/update/delete) exige validação de CSRF". The AI-analysis POST is not mutating persistent data (it's an analysis request triggering AI calls—cost! An attacker could cause repeated AI calls = cost & DoS). There's no CSRF token validation here in controller, only the X-Requested-With header. Existing pattern. Might not be in scope to add. I'd rather not report since pre-existing. **Check for `escapeHtml` in new module**: The user-specified rules for JS file prohibit injecting user HTML without sanitization. In this module they escape each value. The static HTML labels inside template literals are constant — safe. Wait — but there is an injection in the template file at line ~2678 (`resultDiv.innerHTML = ... + error.message + ...`) — pre-existing code, not in the diff (not new). Not to comment (unchanged code). Actually those lines are context not added; not in diff. **MemberAnalysisService: `array_merge($this->chartMetadata($chartId), $chartData);`** If chartData contains keys 'title'/'type' (some getters may not), metadata first then chartData overrides. chartData unlikely to have title/type. fine. Finding 5 covers mismatch. **Now the controller: The `$rawFilters` copy and condition; also, `unset($filters['start_date'], $filters['end_date'])` applies even when the client passed them explicitly (finding 1).** Not repeated. Let me now double-check the **`hasInsufficientData`** placement: it runs BEFORE callDeepSeek, i.e., returns without calling AI — good for cost. But careful: the check for `empty($derivedMetrics)` might consider derived metrics empty in cases where there ARE data but metric calc returns empty due to e.g. time_series where datasets exist with labels but values not numeric (array_filter removes them) — then first_value etc. Actually in timeseries the code does NOT skip when values empty... wait: it computes $seriesName, then `if (empty($values)) continue;` — if all series have empty numeric values, series_metrics stays empty; metrics = ['total_periods'=>n, 'series_metrics'=>[]] — not empty overall! `$metrics` has total_periods key so array not empty. So empty($derivedMetrics) false. So quality flags: For time_series, empty data? If labels exist and datasets exist but values all null → flags: data non-empty (labels present), not missing_dimensions → no flag. So hasInsufficientData false → sends AI call with all-null data. Hmm pre-existing? Not changed. Skip. Now let's also examine ChartResolver change interplay with produtividade module. The resolver change only affects module 'analise_de_membro'. ChartAiAnalysisService change affects all modules (finding 2). OK. Let me now think about the **ChartAiAnalysisService insufficientDataResponse** when data insufficient but check happens after privacy check — fine. Now — new potential issue not yet flagged: **In the controller, the date-unset condition applies regardless of the presence of explicit dates, but also regardless of whether the module's charts need the period filter semantics.** Actually when the dashboard (member analysis) page passes no period, removing start/end removes the 6-month default. But MemberAnalysisService buildFilterClauses only filters when start/end present. So no default-window restriction — returns all-time data. That's the fix. Good. Now let's consider the case where a member's chart genuinely has NO data at all (member has no activity). Then chart_data empty → canonical data empty → quality flags empty_data → insufficient response returns static message recommending verify period. OK. Now let me look at **the produtividade-dashboard.js modifications** (outside review group) to understand whether the new shared module is properly wired, but can't comment. Since it's not in review files, ignore. Now, re-examine the new file `adriana-chart-analysis.js` more closely for genuine issues per the JS rules: 1. Uses `var`? Let's scan: `const`, `let`? Wait — the diff shows `(function ($) { 'use strict'; window.PeopleAnalytics = ...; const DEFAULT_SELECTOR...`. But there's `function setButtonLoading(button, isLoading, loadingText) { ... if (typeof window.setButtonLoading === 'function')... }` — it uses no var inside? Actually there's `button.disabled`, `button.dataset...`. OK. However rule "Variable Declarations: Using var is strictly prohibited" — none found. Hmm wait: In `setButtonLoading`, referencing `window.setButtonLoading` which is possibly the same name as the local function → recursion? If `window.setButtonLoading` was previously set to this function (e.g., assigned elsewhere) it would delegate to itself infinitely. But no assignment anywhere in this file. It's guarded: `typeof window.setButtonLoading === 'function'`. If the project already has a global `setButtonLoading` defined (some utils file) then fine. 2. The `renderError` function in this module escapes `message` before innerHTML — good. 3. `renderAnalysis` builds HTML with escapeHtml on AI content. But note items like `attention_points` in `insufficientDataResponse` are array of strings — fine. 4. XSS in `escapeHtml` good. Let me check `bind` with default selector `.pa-prod-analysis[data-analysis]` and uses `.closest('.pa-prod-card')`. Potential bug: The helper's `getOrCreatePanel` appends panel to `card`. For produtividade dashboard usage, panel should appear inside the card. Probably same. Potential bug: In `setButtonLoading`, they save original label once. On repeated click after analysis loaded, label restore uses dataset original label. Good. One subtle new issue: When a click handler is triggered, `renderError` path (no chartId) sets panel content but doesn't disable loading; fine. There is the race issue: double-click prevented by disabling during loading. Now, is there an issue with `.finally` not supported in older browsers? Modern fine. Now, a genuine issue in this file: **`renderList` receives an array of strings; but AI JSON from DeepSeek might return objects (dict) for recommended_actions etc.?** Not certain. Another: The module posts only `filters` and `question`, but the endpoint supports privacy etc. Fine. Potential duplicate: The old produtividade-dashboard module probably had its own request logic removed and replaced with this shared helper; but not in review group. It references `window.PeopleAnalytics.AdrianaChartAnalysis.bind` maybe. Contract preserved presumably. OK, given limited access to other modules' JS, I won't flag more JS findings. **Now evaluate the new metadata duplication finding is already confirmed (#5).** Don't repeat. **Confirm whether the `membro` injection regression overlaps with finding #4 or #5.** #4: no company/member validation. #5: duplicated chart catalogs. #3: multi-id silent pick in normalizer. #1: date removal in controller. #2: insufficient-data message scope. Our new finding is distinct: injecting `$filters['membro']` breaks comparison charts. Let me now consider whether injecting membro might ALSO be the intended reason for the fix on the workload chart, etc. If we look at how chart 2 was previously sent: it returned company-aggregated daily data — which wasn't empty. Actually the AI sees company data not member data - also a bug being fixed now. Let me now evaluate severity of the finding: high (dados errados/enganosos enviados à IA, contrato/regra de gráfico alterada em fluxo fora do escopo?) Actually it could affect only member analysis AI charts for the three comparison charts, presenting wrong context. high. Now, should I also report the inconsistency between controller/resolver/template conditions for removing dates? Already finding 1 partially says controller differs from other two layers. That's confirmed; skip. Let me check the JS file line numbers to anchor comments. I need to attach comment to existing code lines in diff. For MemberAnalysisService, the added line is `$filters['membro'] = [(int) $memberId];`. I'll anchor there. Let me also give a comment for the team-chart methods? Better to anchor at the added line in getChartData where membro injection occurs. Now consider whether there are other real issues worth reporting. Let me re-verify the **ChartFilterNormalizer** alternative-keys loop order bug: It sets member_id from member_ids only if member_id not set. Then loop for memberId/company_member_id etc. But `$filters[$memberKey]` — some keys may already be unset? They aren't unset. But the mapping loop in step 5 only handles specific keys. If both 'member_ids' present (empty []) and 'member_id' present as string 'abc'? intFields loop casts to int regardless of numeric; member_id=(int)'abc'=0. pre-existing. Wait, NEW issue: What about member_id value being an array (e.g., client sends member_id as array)? intFields `(int) $filters[$field]` on array → 1? In PHP 8 casting array to int triggers warning and yields 1 (for non-empty array). Pre-existing. Given the change, there is now also `member_ids` from mapping plus the first-item promotion, covered by finding 3. Another potential NEW problem in ChartFilterNormalizer: The newly added alternative-key loop happens BEFORE step 6 copying of unprocessed keys. Step 6 copies any leftover filters not in normalized and not keyMappings keys. So after the loop sets normalized['member_id'] = ... if `$filters['company_member_id']` etc are still present, they'd be copied to normalized (step 6) as additional keys (company_member_id => value). Wait step 6 iterates over $filters and checks `!isset($normalized[$key])`. It doesn't unset from $filters, so normalized['company_member_id'] may be added (if not already). So normalized output now includes both member_id and company_member_id — harmless extra. But also for `memberId` camelCase, copied through as is. OK. Now for the **controller**'s `unset($filters['start_date'],...)` condition: it uses `$rawFilters['periodo']`, but note the raw filters may include nested arrays e.g. `filters.periodo` from template default? Not sure. Let me look at produtividade-dashboard.js to see how filters object is structured to ensure the shared helper is compatible — mainly for the question of whether membro is array vs scalar, etc. But it's not in review group; though cross-file contract can inform. Let me quickly check it anyway (as background only).
Tool Calls (1)
file_read_diff
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{"path_array": ["public/js/people-analytics/modules/produtividade-dashboard.js"]}
==== FILE: public/js/people-analytics/modules/produtividade-dashboard.js ====
diff --git a/public/js/people-analytics/modules/produtividade-dashboard.js b/public/js/people-analytics/modules/produtividade-dashboard.js
--- a/public/js/people-analytics/modules/produtividade-dashboard.js
+++ b/public/js/people-analytics/modules/produtividade-dashboard.js
@@ -277,15 +277,6 @@
     }
   }
 
-  function setAnalysisLoading(key, loading) {
-    const btn = document.querySelector(`[data-analysis="${key}"]`);
-    if (!btn) return;
-    btn.disabled = loading;
-    btn.classList.toggle('is-loading', loading);
-    const label = btn.querySelector('.pa-prod-analysis__label');
-    if (label) label.textContent = loading ? 'Gerando...' : 'Gerar Análise';
-  }
-
   function getAnalysisPanel(key, createIfMissing) {
     const btn = document.querySelector(`[data-analysis="${key}"]`);
     const card = btn && btn.closest('.pa-prod-card');
@@ -301,39 +292,6 @@
     return panel;
   }
 
-  function renderAnalysisList(title, items) {
-    const cleanItems = Array.isArray(items) ? items.filter(Boolean) : [];
-    if (cleanItems.length === 0) return '';
-
-    return `
-      <div class="pa-prod-analysis-panel__section">
-        <strong>${escapeHtml(title)}</strong>
-        <ul>
-          ${cleanItems.map((item) => `<li>${escapeHtml(item)}</li>`).join('')}
-        </ul>
-      </div>`;
-  }
-
-  function renderAnalysisResult(key, analysis) {
-    const panel = getAnalysisPanel(key, true);
-    if (!panel) return;
-
-    panel.innerHTML = `
-      <div class="pa-prod-analysis-panel__header">
-        <img src="/images/ia_images/adriana.png" alt="Adriana" class="pa-prod-analysis-panel__avatar">
-        <div>
-          <span class="pa-prod-analysis-panel__eyebrow">Análise da Adriana</span>
-          <h4>${escapeHtml(analysis.title || 'Análise do gráfico')}</h4>
-        </div>
-      </div>
-      ${analysis.summary ? `<p class="pa-prod-analysis-panel__summary">${escapeHtml(analysis.summary)}</p>` : ''}
-      ${renderAnalysisList('Principais insights', analysis.key_insights)}
-      ${renderAnalysisList('Pontos de atenção', analysis.attention_points)}
-      ${renderAnalysisList('Ações recomendadas', analysis.recommended_actions)}
-      ${renderAnalysisList('Limitações', analysis.limitations)}
-    `;
-  }
-
   function setHeatmapInsightVisible(visible, text) {
     const insight = document.querySelector('[data-heatmap-insight]');
     if (!insight) return;
@@ -369,42 +327,6 @@
     return `O melhor ponto do período é ${day}, às ${hour}, com ${normalizePercent(best.value)}%. A média dos horários mapeados é de ${normalizePercent(average.toFixed(1))}%, sugerindo priorizar essa janela para tarefas de maior foco.`;
   }
 
-  function requestAnalysis(key) {
-    const chartId = ANALYSIS_CHART_ID[key];
-    if (!chartId) return;
-
-    setAnalysisLoading(key, true);
-
-    fetch(`${API_BASE}/chart/${encodeURIComponent(chartId)}/ai-analysis`, {
-      method: 'POST',
-      credentials: 'same-origin',
-      headers: {
-        'Accept': 'application/json',
-        'Content-Type': 'application/json',
-        'X-Requested-With': 'XMLHttpRequest',
-      },
-      body: JSON.stringify({
-        filters: currentFilters || {},
-        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.',
-      }),
-    })
-      .then((res) => {
-        if (!res.ok) throw new Error('HTTP ' + res.status);
-        return res.json();
-      })
-      .then((json) => {
-        if (!json || json.success !== true) {
-          throw new Error((json && json.error) || 'Não foi possível gerar a análise.');
-        }
-        renderAnalysisResult(key, json.ai_analysis || {});
-      })
-      .catch((err) => {
-        console.error('[Produtividade] análise IA:', err);
-        notify(err.message || 'Não foi possível gerar a análise por IA.');
-      })
-      .finally(() => setAnalysisLoading(key, false));
-  }
-
   function destroyChart(id) {
     const existing = chartRegistry.get(id);
     if (existing) {
@@ -1273,9 +1195,18 @@
   // EVENTOS / FILTROS
   // =====================================================================
   function bindUiActions() {
-    document.querySelectorAll('[data-analysis]').forEach((btn) => {
-      btn.addEventListener('click', () => requestAnalysis(btn.getAttribute('data-analysis')));
-    });
+    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
+      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
+        module: 'produtividade',
+        chartMap: ANALYSIS_CHART_ID,
+        selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]',
+        getFilters: function () {
+          return currentFilters || {};
+        },
+        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.',
+      });
+    }
+
     document.querySelectorAll('[data-pager-action]').forEach((btn) => {
       btn.addEventListener('click', () => {
         const pager = btn.closest('[data-pager]');
Request #53 deepseek-v4-flash P:76.06K C:4.88K CR:74.62K CW:0 42271ms
Reasoning
Interesting! Now compare old vs new behavior. In produtividade-dashboard, `notify(...)` was previously used for error (the rule says showToast). Now the shared helper uses `renderError` (renders in panel). Fine. Notice the shared helper `bind` uses the button element as `this` inside `.each` with jQuery: `$(button).on('click', function(event){...})`. Wait — they set `const button = this;` inside `$(selector).each(function(){...})`. jQuery each: `this` is each DOM element. Fine. But the helper binds click handlers only when `bind` called. Now if the produtividade-dashboard previously had `.pa-prod-analysis[data-analysis]` inside `.pa-prod-dash`, matches. Also note difference: The shared helper expects a global `setButtonLoading` optional; fine. One relevant new detail: old code `requestAnalysis` key → chartId from ANALYSIS_CHART_ID. When key not mapped (chartId missing) the old code just `return` silently. New code renders error into panel. OK. Now — the potential issue: The shared helper's default selector `.pa-prod-analysis[data-analysis]` while produtividade passes `.pa-prod-dash .pa-prod-analysis[data-analysis]`. No conflict. Let me also compare error text in renderError for adriana helper vs old; not important. Alright, my main new finding candidate is the membro injection. Let me make sure I anchor at right code line — line 60 of MemberAnalysisService: `$filters['membro'] = [(int) $memberId];`. Also consider an important new issue: **In the JS helper `requestAnalysis`, options.getFilters is invoked at click time (request), meaning when a new request is issued. In produtividade-dashboard's original code, `currentFilters` captured at time of click too (global var). Same. Another potential NEW JS issue: The helper's `bind()` sets bound flag per button. In the dashboard, filters may load asynchronously; if bind is called before buttons exist? Buttons exist at DOMContentLoaded. OK. Let me double-check whether the earlier concern about the `membro` filter might also exist in the dedicated MemberAnalysisController endpoints (they pass filters from request, and now these endpoints maybe pass membro from a filter bar). Not changed here; not relevant. Let me now also re-check the template change interplay with the JS: chart_detail loadAiAnalysis for member module. This is the "old" page? It still uses its own fetch and rendering logic, so the template change only affects currentFilters handling. Given the resolver/controller rules, the template's behavior of deleting date filters whenever the URL lacks an explicit period matches the controller for the case no dates provided. So chart_detail template is consistent with ChartResolver's rule (which checks raw filters for periodo/start/end presence). The controller rule differs (finding 1). OK. But now also note: in template, when URL DOES have explicit start_date/end_date (hasExplicitPeriod true), it keeps currentFilters including default dates from PeopleAnalyticsFilters even if the URL only sets period? Hmm — actually if `hasExplicitPeriod` false it deletes; if true, it leaves currentFilters as is (whatever the filters panel returns). If currentFilters from the dashboard includes a default 'periodo' value like 'ultimo_mes' but the URL has start_date/end_date, currentFilters both may include the panel's `periodo` and URL-derived dates. The controller: since rawFilters includes 'periodo' key, dates NOT removed; then normalizer resolves periodo into start/end overwriting? normalizer priority: if filters['periodo'] string exists → resolve dates set into normalized (start/end) and then also start_date/end_date raw are kept? Actually normalizer: Step1 handles periodo; Step2 ensures start/end from raw filters if present, else from defaults — if both periodo and explicit dates present, resolved dates from periodo then overwritten? Step1 sets normalized['start_date']/['end_date'] from resolvePeriodFilter. Step2: if raw filters has start_date/end_date then `$normalized['start_date'] = $filters['start_date']` — overwrites resolved period with explicit dates. If raw has only one of them... complicated. Not in changed code except that dates handling now conditional. This is only in the controller change — but finding 1 already captured explicit date dropping issue. This is scenario URL has explicit dates with no periodo: Controller drops explicit dates (already reported). Template keeps them → mismatch; but that mismatch yields empty chart? Both are part of finding 1. OK now let me look at any other NEW issue with the ChartDerivedMetricsCalculator dedup: Notice that when duplicates found, the same base name could be renamed differently in first pass ($metrics['series_metrics']) and the seriesBreakdown; plus `series_names` field remains with duplicates. But these feed the AI prompt only. Given confirmed findings include the label fix being the point, this is fine. Now, wait — a subtle new bug in the timeseries metrics dedup code: The dedup check happens before the `empty($values)` check and it checks `isset($metrics['series_metrics'][$seriesName])`. If first series has name X but empty values, second series same name X with values inserts at 'X' — no duplicate. Good. But if series 1 name X non-empty and series 2 name X with **empty** values — continue; but series_metrics remains single. OK. Now consider: two datasets with name X and Y both have values. Wait dataset naming for timeseries could be label-based; if two labels identical, dedup now yields X and "X 2". However data for chart 2 'workload' has labels 'Horas Trabalhadas' and 'Score de Produtividade' — unique. OK. Now think about the **insufficientDataResponse while `derivedMetrics` empty because canonical shape unknown?** `metricsCalculator->calculate` returns [] when method doesn't exist. And canonical shapes known. If the member line chart now returns type 'line' → time_series; canonicalizer must map to time_series data shape with labels/datasets; derived metrics computed. Good. Let me read the canonicalizer for how chart_data is converted for donut type chart-tempo-atividade that returns ['labels'=>..., 'data'=>...] (no series/datasets!). In the resolver, chart_meta title/type from metadata; canonical_shape inference: type 'donut' → category_series. canonicalizer must convert ['labels','data'] into categories/series. Then derived metrics compute; if conversions fail, metrics [] → insufficient data static. If chart actually has data but canonicalizer yields nothing for donut shape, the response says "dados insuficientes" incorrectly. But whether canonicalizer supports the donut data shape is pre-existing except that now we ADD type/title (before, type was unknown, but inferCanonicalShapeFromStructure would inspect data: For chart-tempo-atividade data: categories null, series = data['series'] ?? data['datasets'] ?? [] = [] -> firstPoint null; categories = data['categories'] ?? data['labels'] = labels (activity names, non-date strings) → returns 'category_series'. So before type was also category_series by structure. canonicalization same. So no change. For chart-entregas-projeto: same. For scatter: type scatter → canonical shape scatter. Hmm, so the metadata addition changes little in shape inference except 'donut' mapping is category_series (already inferred as category_series by structure, since labels non-date strings). And boxplot: previously type unknown; data has no categories? getTeamBoxplotWithMember returns 'teams' key (not 'categories'), 'data' not present; structure inference returns category_series (not boxplot!). Wait boxplot canonical shape is 'boxplot' but previously infer would be category_series → canonicalizer tries category_series with teams structure → metrics: categories = data['categories'] (missing) → empty categories → returns [] derived metrics... And then previously AI got sent chart with boxplot-like data under category_series canonicalization? Hmm, but the boxplot canonical data structure may already be handled. Now the fix adds type 'boxplot' so canonical shape is boxplot, and boxplot metrics computed. Good, this is an improvement to make data real (before it was canonicalized wrongly). This is part of the intended fix. But wait — the boxplot data structure uses key 'teams' with sub-keys; canonicalizer must support boxplot shape from that structure? Presumably canonicalizer maps chart types by shape and structure; if boxplot type isn't supported, then derivedMetrics empty and insufficientData triggers → message "sem dados" (bug we can't confirm). Not enough evidence. Now, one more thing to check: chart-scatter data structure. getProductivityVsAbsenceScatter returns ['data' => [[x,y,label,is_target]...], 'metadata']. canonical shape scatter; canonicalizer handles scatter data arrays with x/y? Likely. These are pre-existing concerns without evidence. Given the evidence, the strongest NEW finding is the `membro` injection. Let me also double check line numbers in the diff for the comment anchor (exact added code lines). The added lines: ``` + $filters['member_id'] = (int) $memberId; + $filters['membro'] = [(int) $memberId]; + + $chartData = match($chartId) { ``` I'll anchor to `$filters['membro'] = [(int) $memberId];`. Now, is severity high or medium? Let's weigh: When a user requests AI analysis of the boxplot chart from the member analysis page, the chart data returned to the AI will only contain the member's single score (or even an empty member list if the member belongs to no team — because CTE member_productivity restricts to cm.id = member; member_teams lists teams via ctgm; inner join on member). Actually the highlight logic still works. But the boxplot becomes pointless. Since these charts are exactly the ones where a team comparison matters for the analysis, returning single-member data misleads the AI and users. It could also cause empty data if the member has no activities, but empty already handled. Severity: high. Actually wait — I should double check what the three comparison charts' raw data previously looked like when triggered through getChartData for the AI analysis: before the fix, no membro filter → all company members. Also no dates (unless filters provided). So previously, boxplot data had all members and highlighted member. Wait but the previous bug of the PR was that charts with real data were being sent as empty due to filter/date issues. The team charts might have been working previously. Adding membro now breaks them. This is a real regression. I'll set severity high. Additionally, maybe I should double check that the AI analysis for these comparison charts previously actually used getChartData (chart IDs match). Yes match includes those chart ids. Now let me also revisit **ChartDerivedMetricsCalculator series dedup naming with count + 1** could be considered low severity if inconsistent. Skip. Let me look for further NEW issues in the JS file about **the 'finally' on setButtonLoading restoring label** — Actually wait, there is a subtle bug in `setButtonLoading` fallback: it stores original label only if `!button.dataset.originalAnalysisLabel`. On repeated use with different loadingText, subsequent loads would use the loadingText, and unload restores original — good. Another subtle bug: If `window.setButtonLoading` exists but it doesn't restore the original label (external helper), when loading false the label may remain "Gerando..." because this local function returns early and the external helper controls its own restore. Presumably the external helper restores. Can't verify. Skip. Now — for thoroughness, is there an XSS issue in the new JS helper where `renderError` uses `message` from `error.message` (from server or network) escaped properly? Yes. I think it's time to also do a quick check of the **`ChartResolver` date-removal condition** — could there be a NEW problem: When member module called from produtividade-like charts where the caller DOES pass 'periodo' (string) but the previous code produced member data? Unclear. Skip. Let me also verify the controller 'unset' branch affects the default 6-month window for OTHER modules? No, restricted to module analise_de_membro. One more: **in the controller**, the unset happens based on `$rawFilters['periodo']`, but what about when the UI sends periodo inside autoFilters (PeopleAnalyticsPermission.autoFilters)? Those merges happen in the template/front. Then the template deletes filters periodo when no URL param. So for the member module, requests to the endpoint will rarely include periodo. Then if the page (chart detail) uses 'member_id' only and no dates — dates removed everywhere; chart now spans all time. But the chart_detail template only applies the delete for module == analise_de_membro. Wait, but the earlier filter application: template line 2623 sets urlParams member_id. Then currentFilters without dates → goes to fetch. Given chart detail page for member module with no period sends no dates, controller's unset condition true (no periodo in raw). Dates removed (already default-absent). fine. OK. Now: Should I also note in the review that the three comparison charts + workload etc. previously passed `memberId` but the dedicated controller passes user_id for some? Not a change from this PR. Let me now also examine the possibility that injecting membro into the filter passed to buildFilterClauses also creates **SQL with `cm.id IN (...)` inside queries where cm alias might not exist**, causing SQL error. For getDeliveriesByProject (line 1045) uses cm alias and membro clause refers cm.id — cm is joined on cm.user_id = pt.project_task_created_by_user_id; fine. For scatter the extraWhere is applied inside the productivity CTE where cm exists, but the 'membro' clause also might be intended to restrict absence CTE? Not applied there. OK no SQL error. Actually wait, for scatter, there is a mismatch: membro restricts productivity CTE (member activity data) but NOT the absence CTE. So if you try to restrict to a member, absence includes ALL members but productivity one member; join yields member with absence% computed from company-wide absence? The absence CTE computes per-member aggregated absent/total grouped by cm.id, then join on company_member_id — so only the member's absence row used. Fine. OK. Now — **MemberAnalysisService: `$filters['member_id'] = (int) $memberId;`** may cause issues if filters member_id was set from the earlier member_ids fallback as reset gives original type. If member_ids non-numeric string, (int) → 0. Then queries run with member 0, plus membro [0], yielding empty; normalizer's promote also cast (int). It will throw? No, empty. Edge; covered partially by confirmed finding 3/4? Not exactly. Not strong. I think I've got one robust new finding; let me also consider reporting the following possible issue in the JS new module: **`renderAnalysis` calls escapeHtml on `analysis.title` but not on headers etc., fine.** And **renderList items may be objects/non-scalar** maybe not. Given the JS rules include "Duplicate Code" and "file already big" — the new JS helper is a good refactor (extracting). fine. Wait — one more JS-level thing: In `bind()`, the click handler references `button.dataset.adrianaAnalysisBound` set before binding — fine. Now let me also reconsider the **security aspect of member_id across companies**: `MemberAnalysisService` queries filter by `cm.company_id = :companyId` in most getters, so the member id is company-scoped; the company context comes from userAccess->getSelectedCompany(). But the endpoint user context getCompany added company_id. Actually queries use selected company not filters. So cross-company member ids just yield empty results (safe). The confirmed finding 4 noted no validation. Given instructions "do not repeat confirmed findings", I'll report only the new `membro` regression. Let me also validate that I haven't missed a second genuine issue: consider the JS helper's `requestAnalysis` returns a Promise, but the `renderAnalysis` for `insufficientDataResponse` requires fields exist — it does. When provider not called (`ai_provider: null`), the panel renders summary and limitations — fine. Check the new module duplicates `renderList` and `escapeHtml` previously in produtividade-dashboard and chart-detail template. This refactor is a positive. Let me also consider `setButtonLoading` in helper — the produtividade-dashboard previously had local `setAnalysisLoading` used `const label = btn.querySelector('.pa-prod-analysis__label'); if (label) label.textContent = loading ? 'Gerando...' : 'Gerar Análise';`. New helper uses `button.querySelector('.pa-prod-analysis__label') || button.querySelector('span')`. If there is some other span (like an icon) inside the button before the label, the fallback to `span` could pick the icon span rather than the label. Wait, in `setButtonLoading`, label = `button.querySelector('.pa-prod-analysis__label') || button.querySelector('span')`. The button likely has structure: `<button data-analysis="x" class="..."><i class="icon"></i><span class="pa-prod-analysis__label">Gerar Análise</span></button>`. `.pa-prod-analysis__label` exists → ok. If no label class exists, any `span` — maybe the icon wrapped in span. Minor; could be a real UI issue only if no label class. Prod dashboard had label class. Fine. Now, another possibility: duplicated module and now the produtividade dashboard uses shared helper, but the module keeps the local `escapeHtml`, `renderList`, `getAnalysisPanel`, etc.? The diff removed escapeHtml? Wait diff only removed setAnalysisLoading, getAnalysisPanel?, renderAnalysisList, renderAnalysisResult, requestAnalysis... and retained escapeHtml? Not certain. If produtividade-dashboard still defines `escapeHtml` and other now-unused functions, there may be dead code. But not in review group; no comment. Also let me double check that `window.PeopleAnalytics.AdrianaChartAnalysis.bind` options `question` static, and the DEFAULT_QUESTION for chart-detail? not relevant. Now, maybe also examine if **the new helper breaks the loading label** when error occurs before disabling, no. OK, finalize with the single new finding (membro regression). Maybe also add the earlier "start/end removed even when the client sends explicit start_date" only in the resolver? Wait resolver differs: it checks raw filters; if explicit dates present in raw filters (i.e., controller didn't unset because controller unset when no periodo regardless... wait, but ChartResolver receives filters AFTER the controller already removed explicit dates if no periodo!). So by the time resolver runs, if the client sent explicit dates without periodo, controller removed them; then resolver sees no start/end → unsets default → chart spans all data. The behavior is fully inconsistent across layers but that's finding 1. Do not duplicate. Let me now write the comment for the membro injection. Also, check whether these comparison charts could be considered "out of AI scope"? They're in the member module dispatch and resolver metadata - they're used. So this is fine to report. Let me also double check line 60 exact text again in current file: ``` 59| $filters['member_id'] = (int) $memberId; 60| $filters['membro'] = [(int) $memberId]; ``` Yes. Severity: high. Category: bug. Now, let me consider severity for this relative to review. Provide in PT-BR, direct first sentence. Possible phrasing: "Adicionar o filtro de um único membro a TODOS os gráficos do módulo quebra os três gráficos comparativos (boxplot da equipe, ranking e scatter membro × time), que existem justamente para mostrar o colaborador dentro da distribuição do time/empresa. Com essa linha, as consultas desses gráficos passam a filtrar por um único `cm.id` e retornam só o membro destacado — sem a equipe para comparar —, então a IA recebe (e o usuário vê) um contexto falso de 'destaque' sem base comparativa. O correto é aplicar o filtro de membro apenas nos gráficos de série individual (linha de desempenho, carga vs produtividade, tempo por atividade e entregas) e manter os comparativos com todos os membros, usando o parâmetro `$memberId` apenas para marcar o highlight." That's well within guidelines. Wait — is that claim about 'série individual' charts accurate (which ones need membro)? Charts: - chart-linha-desempenho: performance line for member — yes single member. - chart-carga-produtividade: workload line for member — needs member filter. - chart-tempo-atividade-membro: donut activities of member — member. - chart-entregas-projeto: deliveries per project for member. - chart-boxplot-equipe-membro: team comparison — NO filter. - chart-ranking-produtividade: company ranking — NO. - chart-scatter-prod-ausencia: comparison — NO. Yes. But wait — do the single-member charts actually rely on the membro filter for scoping, or do they use the memberId param in their own SQL? Look at getPerformanceLine: need to check how it scopes to member. If getPerformanceLine uses memberId in its SQL query, then membro injection is redundant but harmless for those. If instead it relied on membro previously being absent (and memberId param ignored) then chart 2/3/4 previously showed whole-company data... which would have been the bug. Let's read getPerformanceLine to determine whether memberId is actually used for filtering (not just highlight). That helps to describe impact more precisely.
Tool Calls (1)
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{"end_line": 780, "file_path": "src/Service/PeopleAnalytics/MemberAnalysisService.php", "start_line": 600}
File: src/Service/PeopleAnalytics/MemberAnalysisService.php (Total lines: 2857)
IS_TRUNCATED: false
LINE_RANGE: 600-780
600|                        break;
601|                    case 'moderada':
602|                        $absConditions[] = '(absence_percentage > 2 AND absence_percentage <= 5)';
603|                        break;
604|                    case 'alta':
605|                        $absConditions[] = '(absence_percentage > 5 AND absence_percentage <= 10)';
606|                        break;
607|                    case 'critica':
608|                        $absConditions[] = 'absence_percentage > 10';
609|                        break;
610|                }
611|            }
612|            
613|            if (!empty($absConditions)) {
614|                $havingConditions[] = '(' . implode(' OR ', $absConditions) . ')';
615|            }
616|        }
617|        
618|        return !empty($havingConditions) ? ' AND ' . implode(' AND ', $havingConditions) : '';
619|    }
620|
621|    /**
622|     * GRÁFICO 1: Linha de Desempenho da EMPRESA (performance x tempo)
623|     * 
624|     * Evolução do score de performance AGREGADO de todos os membros da empresa ao longo do tempo.
625|     * Baseado em activities com project_tasks (deadline) ao invés de tasks (processo seletivo).
626|     * 
627|     * Lógica de Performance:
628|     * - Se day <= end_date: score = 100 (dentro do prazo)
629|     * - Se day > end_date: score = 100 - (10 × dias_atraso), mínimo 0
630|     * - Apenas activities com project_task_id e end_date não-nulos
631|     * 
632|     * Agregação:
633|     * - Agrupa por mês (DATE_FORMAT period)
634|     * - Calcula média mensal de performance de todas as activities
635|     * - Dias sem activities não aparecem no gráfico
636|     * 
637|     * Fontes:
638|     * - activities (atividades realizadas)
639|     * - timesheet_days (dia de realização)
640|     * - project_tasks (deadlines)
641|     * - company_members (vínculo empresa)
642|     * 
643|     * Filtros suportados:
644|     * - projeto: array de IDs de projetos
645|     * - categoria-atividade: array de nomes de categorias
646|     * - prioridade-project-task: array de prioridades (1=Alta, 2=Média, 3=Baixa)
647|     * - status-project-task: array de status (1-4)
648|     * - deadline: string (vencido, hoje, esta-semana, proxima-semana, este-mes, sem-prazo)
649|     * - turno: array de IDs de turnos
650|     * - start_date/end_date: filtro de período
651|     * 
652|     * @param int $memberId [NÃO USADO] Mantido por compatibilidade de assinatura
653|     * @param array $filters Filtros a serem aplicados
654|     * @return array ['labels' => ['Jan 2022', ...], 'datasets' => [...]]
655|     */
656|    public function getPerformanceLine(int $memberId, array $filters = []): array
657|    {
658|        $company = $this->userAccess->getSelectedCompany();
659|        if (!$company) {
660|            return ['labels' => [], 'datasets' => []];
661|        }
662|
663|        $companyId = $company->getId();
664|        
665|        // Prepara parâmetros base
666|        $params = ['companyId' => $companyId];
667|        
668|        // Constrói cláusulas de filtro
669|        $filterClauses = $this->buildFilterClauses($filters, $params);
670|        $extraJoins = $filterClauses['joins'];
671|        $extraWhere = $filterClauses['where'];
672|        
673|        // Se filtro deadline = sem-prazo, ajusta WHERE para permitir end_date NULL
674|        $endDateCondition = 'AND pt.end_date IS NOT NULL';
675|        if (!empty($filters['deadline']) && 
676|            (is_array($filters['deadline']) ? $filters['deadline'][0] : $filters['deadline']) === 'sem-prazo') {
677|            $endDateCondition = ''; // Remove condição para permitir NULL
678|        }
679|        
680|        // SQL: calcula performance dinâmica baseada em deadline vs data de realização
681|        $sql = "
682|            SELECT
683|                DATE_FORMAT(td.day, '%Y-%m') AS period,
684|                AVG(
685|                    CASE 
686|                        WHEN pt.id IS NULL THEN NULL
687|                        WHEN pt.end_date IS NULL THEN 50
688|                        WHEN td.day <= DATE(pt.end_date) THEN 100
689|                        ELSE GREATEST(0, 100 - 10 * DATEDIFF(td.day, DATE(pt.end_date)))
690|                    END
691|                ) AS avg_performance,
692|                COUNT(a.id) AS activity_count
693|            FROM activities a
694|            INNER JOIN timesheet_days td ON td.id = a.timesheet_day_id
695|            INNER JOIN company_members cm 
696|                ON cm.id = td.member_id
697|                AND cm.company_id = :companyId
698|            LEFT JOIN project_tasks pt ON pt.id = a.project_task_id
699|            {$extraJoins}
700|            WHERE a.company_id = :companyId
701|                AND a.project_task_id IS NOT NULL
702|                {$endDateCondition}
703|                {$extraWhere}
704|            GROUP BY period
705|            ORDER BY period ASC
706|        ";
707|
708|        $stmt = $this->em->getConnection()->prepare($sql);
709|        
710|        // Bind todos os parâmetros
711|        foreach ($params as $key => $value) {
712|            $stmt->bindValue($key, $value);
713|        }
714|        
715|        $results = $stmt->executeQuery()->fetchAllAssociative();
716|
717|        // Formata os dados para o gráfico
718|        $labels = [];
719|        $scores = [];
720|
721|        foreach ($results as $row) {
722|            $labels[] = $this->formatPeriodLabel($row['period']);
723|            $scores[] = round((float)$row['avg_performance'], 2);
724|        }
725|
726|        return [
727|            'labels' => $labels,
728|            'datasets' => [
729|                [
730|                    'label' => 'Performance Média da Empresa',
731|                    'data' => $scores,
732|                    'borderColor' => '#2196F3',
733|                    'backgroundColor' => 'rgba(33, 150, 243, 0.1)',
734|                    'tension' => 0.4
735|                ]
736|            ],
737|            'metadata' => [
738|                'total_activities' => array_sum(array_column($results, 'activity_count')),
739|                'periods_count' => count($results),
740|                'avg_performance_overall' => !empty($scores) ? round(array_sum($scores) / count($scores), 2) : 0,
741|                'company_id' => $companyId,
742|                'filters_applied' => !empty($filters) ? array_keys($filters) : []
743|            ]
744|        ];
745|    }
746|
747|    /**
748|     * GRÁFICO 2: Carga de Trabalho vs Produtividade da EMPRESA (horas vs score)
749|     * 
750|     * Compara horas trabalhadas com score de desempenho ao longo do tempo.
751|     * Agrega dados de TODOS os membros da empresa.
752|     * 
753|     * Lógica de Cálculo de Horas:
754|     * - Se activities.percentage > 0: horas = work_period × percentage / 100
755|     * - Senão: horas = activities.duration / 60 (minutos → horas)
756|     * 
757|     * Lógica de Cálculo de Produtividade (via project_tasks):
758|     * - Se day ≤ end_date: score = 100 (no prazo)
759|     * - Se day > end_date: score = 100 - (10 × dias_atraso), mínimo 0
760|     * 
761|     * Fontes de dados:
762|     * - timesheet_days (base de dias trabalhados)
763|     * - activities (horas + percentual)
764|     * - project_tasks (deadline para cálculo de produtividade)
765|     * - company_members (filtro por empresa)
766|     * 
767|     * Agrupamento: Por dia (td.day)
768|     * 
769|     * Filtros suportados:
770|     * - start_date, end_date: Período de análise
771|     * - projeto: Filtra por IDs de projetos
772|     * - categoria-atividade: Filtra por nomes de categorias
773|     * - turno: Filtra por IDs de turnos
774|     * - satisfacao-dia: Filtra por níveis de satisfação (1-5)
775|     * 
776|     * @param int $memberId [FUTURO] Será usado para filtro individual
777|     * @param array $filters Filtros ['start_date' => 'Y-m-d', 'end_date' => 'Y-m-d', 'projeto' => [ids], ...]
778|     * @return array Duas séries: horas trabalhadas e score de produtividade
779|     */
780|    public function getWorkloadVsProductivity(int $memberId, array $filters = []): array
Request #54 deepseek-v4-flash P:83.3K C:1.77K CR:80.9K CW:0 16141ms
Reasoning
This confirms: - `getPerformanceLine` (chart-linha-desempenho): doc says "$memberId [NÃO USADO]" and chart is "EMPresa" aggregated (performance média da empresa). This is the design of the underlying method — the member chart in the AI analysis was previously company-level aggregated data, NOT member-specific. But the module is "Análise Individual". Hmm, but maybe the member screen actually wants to show the member's line vs company? The datasets label says 'Performance Média da Empresa'. Whatever; the method is company-level unless membro filter is injected. With the new change, when membro injected into these methods, performance line becomes member-only (label still says "Performance Média da Empresa" — cosmetic bug but label wrong now). And getWorkloadVsProductivity becomes member-only as well. So the new `$filters['membro']` injection now converts company-aggregated chart methods into single-member charts, while the label strings still say "Empresa" and methods docs say "agrega dados de TODOS os membros". For the boxplot/ranking/scatter, injecting member filter breaks the comparison semantics; for line/workload/time/deliveries they probably intended to make it member-specific (because it's "Análise Individual"), and this injection is precisely what the fix intends. The label mismatches ("Performance Média da Empresa") would be misleading but cosmetic. Wait, then maybe the intent of injecting membro was exactly to restrict all to the member. For the three comparison charts, that contradicts their purpose. So my new finding stands as a regression for those three. But hold on — maybe these three comparison charts appear on the member analysis page to show context, and now they're restricted. But is that "regression" vs "bug fix"? Let's check whether the member analysis screen is a screen showing charts where the boxplot/ranking/scatter chart was previously returning whole-company data which is the "real data" the AI complained about... Actually before this PR the AI bug was "dados reais enviados como vazios". This would be about empty due to date filters, not about whole-company being "wrong". The fix intends to keep "real data". Hmm. In any case, filtering the boxplot/ranking/scatter to a single member makes them degenerate: a "boxplot" with one score, a "ranking" with one entry, and a "scatter" with a single point. That surely cannot be the product intent, since chart titles say "Equipe + Membro Destacado". A single point would give a boxplot equal values and an empty team context — and the AI instructions in this module (member analysis) ask where the member stands vs team. This is a genuine logic risk. I'm confident enough. Report as high. Now let me consider if this could be even worse: getTimeByActivityType is 'donut' for company, and the member injection is what makes it member. OK. Now let me look for one more angle: for chart-linha-desempenho in AI flow: previously company average line (that label). In new chart metadata 'title' => 'Linha de Desempenho'. After injection membro, dataset label still 'Performance Média da Empresa' — cosmetic. I'll finalize with this one comment. Actually, wait — before finalizing, let me consider also whether the `member_id` & `membro` injection might cause `getMemberKpis` or other flows to be hit? getChartData only. And there may be a chartId not in chartMetadata but in dispatch? dispatch and metadata both handle same ids. Now decide whether to also flag something in the JS new file. Let's review again more meticulously for bugs: Look at the `requestAnalysis` Promise executor: The `.done(...)`, `.fail(...)` callbacks — with jQuery, if json parse fails (returns string), json.success undefined → reject. OK. In `bind`, `config.module` warning if missing and returns; no error panel. Fine. Now, hmm — the click handler: `const key = button.getAttribute('data-analysis'); const chartId = chartMap[key]; const panel = getOrCreatePanel(button, key);` If chartId not in map (e.g., new chart added to dashboard without analysis button), render error inside panel. Reasonable. One issue: `$(button).on('click', ...)` uses jQuery while other code uses addEventListener; both fine. I don't see a clear bug. Perhaps a low priority: `setButtonLoading` when the delegated global exists but no label handling means produtividade may rely on external global helper; risk if window.setButtonLoading is the local helper defined in produtividade-dashboard.js elsewhere with different semantics? Can't confirm. Skip. Alright finalize. Let me also think about whether to comment on the **template duplicate filters flow** — since the template chart-detail module analise_de_membro gets member_id only from URL; but what if PeopleAnalyticsFilters.getCurrentFilters includes member_id? Override anyway to the URL value — could mismatch if URL contains member from dashboard context and the page is reused for a different selected member. This is speculative. skip. One more potential real issue: **chart_detail.html.twig lines 2623-2635** — the template determines `hasExplicitPeriod` only from the URL. In the case module is analise_de_membro but this page is reached from a dashboard embed/iframe where filters are chosen in-page (not URL), the URL won't have period, so any period the user selected in-page would be dropped silently, causing the analysis to ignore the user's in-page period selection. If member analysis screen relies on in-page date picker state, then dropping based on URL might be wrong. But in chart_detail screen, filters are probably from URL + PeopleAnalyticsFilters. Hmm. The old code didn't delete, so chart detail respected currentFilters (from PeopleAnalyticsFilters). Now for the member module, deleting `currentFilters.periodo/start_date/end_date` when URL has no period will discard the user's explicit in-page selections too. That means if the user filtered a custom period in the UI (not reflected in URL) and clicks "Gerar análise", the request will ignore it — a possible regression of in-page filters. But if PeopleAnalyticsFilters.getCurrentFilters returns default values only from URL, maybe not. Need context about how PeopleAnalyticsFilters works and whether chart_detail page is only reachable with filters in URL. This is more speculative; I'll leave it. Given the rules prefer precision over recall and "report only defects likely real", I'll limit to the membro finding. Let me now write the code_comment, anchored to added line in MemberAnalysisService. Also include category bug; severity high; path file. Then call task_done.
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{"comments": [{"content": "Ao forçar o filtro de um único colaborador em todos os gráficos do módulo, os três gráficos comparativos (boxplot da equipe com membro destacado, ranking de produtividade e scatter membro × time) passam a rodar com a consulta restrita a um único `cm.id`. Esses gráficos foram feitos para agregar o time/empresa e marcar o colaborador com highlight (os próprios métodos recebem `$memberId` só para isso), então o boxplot vira um ponto só, o ranking lista apenas o membro e o scatter perde a comparação — a IA e a tela passam a receber um contexto falso de posicionamento sem base comparativa. Recomendo aplicar o filtro `membro` apenas nos gráficos de série individual (linha de desempenho, carga vs produtividade, tempo por atividade e entregas) e manter os comparativos com todos os membros, usando `$memberId` apenas para o destaque.", "existing_code": "        $filters['membro'] = [(int) $memberId];", "category": "bug", "severity": "high", "path": "src/Service/PeopleAnalytics/MemberAnalysisService.php"}]}
(async)
Request #55 deepseek-v4-flash P:85.08K C:1.58K CR:84.99K CW:0 13819ms
Reasoning
Let me also check if there's another issue worth reporting in `adriana-chart-analysis.js` regarding the fallback label handling: When `window.setButtonLoading` is undefined, the local fallback disables button and sets text; but when there's no label element (e.g., button with only icon), restore no-op. fine. One more thing to examine: **the JS helper duplicates logic for produtividade; but the `renderAnalysis` doesn't render 'projections' section in old produtividade version? New helper does include 'Projeções'. Good. Alright. Now reconsider a possibly significant issue in the new JS helper: the XSS is handled. Contract with backend: the module `produtividade` calls `/people-analytics/api/produtividade/chart/{id}/ai-analysis`, which returns ai_analysis with attention_points etc. — same fields as helper. fine. Now re-examine ChartFilterNormalizer: after mapping loop, they do `if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) { ... }`. Now note that if the client only sends `membro` (singular) as a scalar number, mapping produces member_ids [id], member_id=id — good. If client sends `member` numeric, same. Covered. But there's one subtle new thing: **keyMappings merges values but does not unset the original key**, then in step 6 copy leftover keys excludes keyMapping keys. So normalized does not contain 'membro' key directly. Yet MemberAnalysisService line 51 checks `$filters['membro']` on normalized filters, which never exists (since keyMappings prevent copying). Wait — but MemberAnalysisService is called with `$normalizedFilters` from ChartResolver, where 'membro' would not be present (converted to member_ids). And then the new line sets `$filters['membro'] = [(int)$memberId]`. So the `?? $filters['membro']` fallback is dead for that path, but the service is also called by other controllers passing raw filters (dedicated MemberAnalysisController uses methods directly, not getChartData except maybe ExcelTemplateGeneratorService/ChartDataImportService with arbitrary filters). Minor; harmless. Confirmed finding 3 already touches the silent multi-ID selection. OK. Now let me consider severity/validity again about the membro filter — could the three comparison charts already be broken before because filters from template include `membro` (raw)? For the AI path with produtividade module? Wait boxplot/ranking/scatter chartIds for produtividade module are different IDs (ChartResolver uses produtividade service, not member). In member module, templates pass member_id etc. So no membro before. Good, and note these comparison charts are within the member AI analysis scope: chart-boxplot-equipe-membro, chart-ranking-produtividade, chart-scatter-prod-ausencia appear in getChartData's dispatch, so they can be requested via the ai-analysis endpoint. Good. Now, one more file to double-check for any subtle issue: ChartResolver date removal: it only triggers unset for analise_de_membro and only when the filters lack all three keys, but the template explicitly deletes them before send in chart_detail, and the controller removes them too (for no periodo). So in the normal member flow, by the time resolve is invoked filters already lack dates → unset default dates → no date restriction, i.e., queries over all time. Wait but this could be surprising: without a date restriction, charts like workload vs productivity that group by day across all history would produce huge line charts from member's first day; but this is the desired "no date filter" behavior when no period selected. OK. Also note: ChartResolver unset only removes start_date/end_date; other time filters in normalized filters remain. I'm comfortable. There might be another real issue: The **controller date removal** happens based on `module` and applies `unset` AFTER normalize, but normalize is where the default 6-month dates are applied. Then unsetting removes them. But the resolver will again normalize with default dates and again remove them because the raw filters passed to resolver have no date keys... Wait, the controller unsets start_date/end_date keys from `$filters` passed to analyze → analyze→resolve(module, chartId, filters): normalize will re-add default dates (since no explicit start/end). Then because module analise_de_membro and filters no longer contain periodo or dates, unset again → OK. But careful: the resolver's condition uses raw `$filters` (the ones passed in). Those were from the controller AFTER unsetting; so condition true → unset normalized dates. Good. OK, no need to expand. Let me consider whether to file an additional low-level note about **mislabeled dataset 'Performance Média da Empresa'** after member injection? It's cosmetic and depends on the intention. Skip. I'll finalize. Actually, wait: let me re-examine once more the code in the JS new file about possible duplicate of responsibilities with `produtividade-dashboard.js` for getAnalysisPanel/getAnalysisPanel etc. Not needed. Now think again about whether `hasInsufficientData` (confirmed #2) - text specific to collaborator in other modules. Yes skip. Time to finalize; the code comment was registered. I'll provide summary and task_done.
Revisei os oito arquivos do grupo. Além dos 5 achados já confirmados em revisão anterior, identifiquei um problema novo real: **Novo achado (não listado como confirmado):** - `MemberAnalysisService::getChartData` — a nova linha `$filters['membro'] = [(int) $memberId];` agora injeta o filtro de um único colaborador em **todos** os gráficos do módulo, inclusive nos três comparativos (`chart-boxplot-equipe-membro`, `chart-ranking-produtividade`, `chart-scatter-prod-ausencia`), que usam `buildFilterClauses` e foram projetados para agregar o time/empresa com o membro apenas destacado (via `$memberId`). Na prática, o boxplot vira um ponto único, o ranking lista só o membro e o scatter perde a base de comparação — dado falso de contexto enviado tanto para a tela quanto para a IA. Fiz o comentário com a recomendação de aplicar o filtro apenas aos gráficos de série individual. Demais arquivos revisados sem novos problemas conclusivos: - `adriana-chart-analysis.js`: helper novo com escape correto de conteúdo da IA, estados de loading/erro e contrato de endpoint consistente com o backend. - `ChartDerivedMetricsCalculator.php`: fallback `label` e deduplicação de nomes de série sem colisões relevantes. - `ChartFilterNormalizer.php` / `ChartResolver.php` / `PeopleAnalyticsApiController.php` / `chart_detail.html.twig`: as diferenças de condição de período entre camadas e a seleção silenciosa de múltiplos `member_id` já estão cobertas pelos achados confirmados.
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{"state": "DONE"}

memory_compression_task

Request #1 deepseek-v4-flash P:107.33K C:5.74K CR:384 CW:0 50675ms
Reasoning
The user wants me to summarize the conversation so far per the target format (in pt-BR), as if I'm the code review assistant continuing. I've been analyzing code changes across the PR: member analysis AI flow, shared JS helper, filter normalization, derived metrics, chart resolver, controller. Now I have to provide the structured summary with Identified Code Issues, Tool Call Conclusions, Completed Tasks, Pending Tasks, Current Focus. Let me consolidate the findings into confirmed issues ordered by severity. Main issues confirmed/identified: 1. HIGH (segurança) — PeopleAnalyticsApiController chartAiAnalysis: no server-side member scope validation for analise_de_membro. Since the PR now lets member_id be accepted from URL/body/other keys and MemberAnalysisService now filters by that member, a self-scope/team-scope user could call the AI endpoint for an arbitrary company member and get that member's individual data sent to an external LLM. The chart data endpoints apply PeopleAnalyticsPermissionService::applyPermissionFilters/canViewMember; the AI endpoint does not. (See also the template adding member_id to filters and the new resolver/controller blocks making member-specific data reach the AI.) 2. MEDIUM — PeopleAnalyticsApiController lines ~115-120: condition `!isset($rawFilters['periodo'])` removes explicit start_date/end_date sent by the client, unlike ChartResolver which only removes when none of periodo/start_date/end_date are present. If caller provides explicit start_date/end_date without a `periodo` key (member analytics tab/deep link can filter a specific period), the controller clears them, causing AI analysis to not match the chart period. 3. MEDIUM — chart_detail.html.twig new block only deals with deleting date keys when there is no explicit period in URL but never copies URL start_date/end_date into currentFilters, and the double logic (template, controller, resolver) has three different conditions for the same concept; risk of mismatch grows; also `var` declarations in a block that could be tightened (low), but given legacy style, leave out. 4. MEDIUM/LOW — ChartFilterNormalizer: new fallback for member_id from multiple keys plus silent "first member only" (member_ids+member_id). If request contains multiple members (e.g., global filter `membro` from the member analytics tab or imports), the system silently analyzes only the first. No warning/error. This can yield misleading analysis. Actually, is that right? For the member module, every chart is individual—only one member. In module-level flows, filters can include `membro[]` with one member. When a chart detail is opened with multiple `membro` filter values (possible from the member tab? The tab always uses data-member-id=one member), maybe no multi-member. But the normalizer now supports `member_ids` arrays and MemberAnalysisService also parses the first from member_ids. The multiple-members silent first usage could happen if a future caller sends a member_ids group; currently it might not. Lower severity: low/maintainability. 5. LOW — ChartDerivedMetricsCalculator/others series de-dup changes OK. Not a confirmed issue? Let me evaluate. - In calculateTimeseriesMetrics there's dedupe logic: series name duplicate suffix added before `empty($values)` continue — if first dataset empty, second isn't suffixed; not a problem. No confirmed issue. - The member charts now have labels; good. 6. LOW — ChartAiAnalysisService new insufficientDataResponse/guard is global to all modules but message copy references "colaborador no período" (member-specific) and changes behavior for all dashboards; also returns success with ai_provider=null. But it fixes the reported bug (empty payload to AI). Not a real bug for review group? I could include as low priority behavior scope note, but maybe omit if we need concise. 7. LOW — MemberAnalysisService: duplicate chart ID catalogs (getChartData match + chartMetadata match + metadata trait); array_merge order means chart data's own title/type would override defaults (currently data doesn't include them). Maintainability. 8. Template: no explicit period copy — low. Given the "omit dimensions with no content" and "completed/pending tasks", I must reflect what I've done and what remains. Tool Call Conclusions: - Read MemberAnalysisService: chart data methods are company-scoped via userAccess; member_id is used in getChartData but the queries only restrict to member when 'membro' filter set by getChartData. - The chart data endpoint (MemberAnalysisController) applies PeopleAnalyticsPermissionService filters; the AI endpoint (PeopleAnalyticsApiController) does not. - ChartFilterNormalizer: maps 'membro'→member_ids, adds new member_id fallback keys, default dates if missing; idempotence partial. - ChartResolver double normalization and unset dates for member module. - The chart_detail page JS builds ai analysis from currentFilters + autoFilters + URL member_id, deleting date default when no explicit period. - produtividade-dashboard uses shared helper, no leftover references to removed functions. - ChartAiAnalysisService: privacy check is always allowed (TODO), so new insufficient data guard effectively becomes the only gate; it triggers on empty_data/missing_dimensions only. - DerivedMetricsCalculator includes label fallback and duplicate-name suffix logic. Completed Tasks (things I've done): - Read all review group files and diffs. - Traced AI endpoint authorization flow and compared with chart data endpoints. - Identified inconsistencies in date handling between controller/resolver/template. - Confirmed scope permission gap. - Checked produtividade dashboard removal has no dangling refs. Maybe "check what happens to private template block when URL has explicit dates" still pending. Pending Tasks: - Check visual/CSS classes & `setButtonLoading` global existence (I did check no global function; the fallback applies). That's completed, not pending. - Explore whether chart detail member page with explicit dates from URL actually sends them to AI (pending because no direct caller with start/end dates found; only through URL + currentFilters; confirm whether getCurrentFilters/active filters can include explicit start/end dates). - Decide final set of comments and post them to the review (code review conversation is expected to post comments). Currently no final comments posted yet. - Possibly run/read unit tests or determine expected severity. Current Focus: Analyze and consolidate findings: the member AI scope bypass and date-drop inconsistency across controller/resolver/template, and then choose which comments to post to the review. Now format output. "### Identified Code Issues List all confirmed issues sorted by severity... Each entry should include: file path, issue type, severity, brief description." Should I also include issue type? Yes — "issue type", so: security/authorization, date filtering logic, maintainability. Entries: - [HIGH] `src/Controller/PeopleAnalyticsApiController.php` — autorização/escopo: endpoint de IA do módulo `analise_de_membro` aceita `member_id` do corpo/URL sem aplicar `PeopleAnalyticsPermissionService::applyPermissionFilters`/`canViewMember`, ao contrário dos endpoints de dados do gráfico; com a nova normalização de `membro`/member_ids e o filtro de membro agora aplicado em MemberAnalysisService, um usuário com escopo self/team pode obter análise individual de outro membro (inclusive envio dos dados para LLM externa). - [MEDIUM] `src/Controller/PeopleAnalyticsApiController.php` — inconsistência de filtros de período: condição remove `start_date`/`end_date` sempre que `periodo` estiver ausente no payload bruto, mesmo quando o cliente enviou datas explícitas; ChartResolver só remove quando nenhuma das três chaves existe → análise pode não casar com o período exibido no gráfico. - [MEDIUM] `templates/people_analytics/chart_detail.html.twig` — inconsistência na lógica de período/URL: salva datas padrão apenas quando não há período na URL, mas nunca propaga `start_date`/`end_date` da URL para `currentFilters`; quando há datas na URL, envia defaults, quando não há, remove; combinado com a regra do controller divergente, risco de análise divergente do gráfico. (É médio? Pode colocar low? Poderia colocar medium por ser bug real em fluxo com datas explícitas. Vou colocar medium.) - [LOW] `src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php` — escolha silenciosa do primeiro membro quando várias formas/IDs de membro são enviadas em `membro`/`member_ids`, sem erro/aviso; em chamadas de IA para análise individual pode gerar análise incorreta sem feedback. - [LOW] `src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php` — nova resposta `insufficientDataResponse` é genérica/global para todos os módulos mas usa textos voltados ao módulo de membro ("o colaborador possui dados no período"); comportamento altera todos os dashboards embora o PR seja focado em `analise_de_membro`. - [LOW] Duplicação/catálogo espelhado em MemberAnalysisService — getChartData e chartMetadata duplicam mapa de chart ids (manutenção). Wait, item 3 (template) — is it confirmed? I should be careful: chart_detail currentFilters fará merge from autoFilters and URL member, but getCurrentFilters is not defined, so currentFilters could just be {}. In analise_de_membro the selected member is in autoFilters (self-scope) or comes from URL member_id, but the member may also be chosen in the filter UI: PeopleAnalyticsFilters active filters include `membro`. getCurrentFilters is not defined, so maybe a global filter list? Actually for chart_detail, only autoFilters plus URL member. The member selection happens on module page; when navigating to chart detail link with member_id param, the chart detail page shows the chart of that member. Does its filter UI (modal in chart_detail) know it's for that member? Maybe not. So the currentFilters in AI request would just include the member_id from URL, no dates. Dates not involved for chart_detail, except from previous data? So the date-deletion in template is relevant to remove default dates from autoFilters? autoFilters never has dates. Wait then why delete dates in template at all? If currentFilters had dates from `PeopleAnalyticsFilters.getCurrentFilters()` — maybe chart_detail gets filter defaults from the URL? Let me check module_detail or member profiles to see global filter state used to fetch chart data, but chart_detail is separate page, opens with URL params including periodo. `PeopleAnalyticsFilters` is initialized on chart_detail (line 2790), but its `selectedFilters` array starts empty. getCurrentFilters is never defined — so currentFilters always equals autoFilters + URL member, no date defaults. So the template deletion block would only matter if getCurrentFilters() existed and returned dates. It doesn't exist... so for chart_detail the template block is effectively only adding member_id and not much else. For other pages? Only chart_detail template. Hmm, so issue #3 (template mismatch) might be lower confidence: The template block would delete autoFilters dates IF autoFilters ever had them — they don't for member module. So low confidence. Better drop the template item from "Confirmed" or present it lightly as pending/needs confirmation? The summary rules ask for confirmed. I'll keep the controller/resolver inconsistency (from actual code, not just template), since that's code-level confirmed regardless of current front flow (controller receives `start_date/end_date` from member page if deployed/deep links/custom API clients). What about resolver/controller duplication? The controller condition and resolver condition clearly differ; both have new code in the diff. It is confirmed as code inconsistency. Even if today's UI doesn't happen to send explicit dates without periodo, the endpoint contract allows it and other callers (like module global filter using global filters on the member tab inside member profile, which uses PeopleAnalyticsFilters with global filters that include `periodo`) can send `periodo`; not start/end. Hmm. Still fine to report as medium. For template item, I might mention as low risk "fragmento new block + var" or skip. I'd include just short mention in "Pending: confirmar se há fluxo que envia datas explícitas pelo template". Actually pending tasks can mention "Verificar se o fluxo real do chart_detail do módulo analise_de_membro envia start_date/end_date (sem periodo) antes de fechar o comentário médio no template/controller" but controller/resolver inconsistency stands anyway. Also note the one thing: the controller condition in PeopleAnalyticsApiController is not necessarily intended to support explicit dates—the front only sends periodo or nothing. But resolver supports explicit dates. The API contract accepts arbitrary filters. It's a genuine divergence. Keep medium. Potential issue: ChartResolver resolving member when no member id → throws exception/500. Low. Not new? There is new branch in getChartData reading $filters['membro'] etc. Keep low? Maybe too much noise. I'll skip the 500 issue to favor precision. Now for Completed Tasks: - Reviewed all files in the review group (diffs + context). - Traced authorization path: data endpoints apply permission filter; AI endpoint does not — feature gap confirmed. - Traced chart_detail member flow: template sets member_id from URL and drops date defaults; currentFilters not populated from url periods (getCurrentFilters inexistente) — pending deeper. - Confirmed resolver/controller date-removal divergence. - Confirmed produtividade-dashboard remove has no dangling refs (removed functions no longer used). - Confirmed no global window.setButtonLoading function (helper uses fallback). - Collected chart methods member filter behavior. Pending: - Decidir e postar os comentários finais na conversa de revisão (no code review yet). - Confirmar se há endpoint/fluxo real para analise_de_membro que, sem `periodo`, envia start_date/end_date (para definir severidade do controller) — mas como há inconsistência, precisa decidir se comentar mesmo assim. - Testar semanticamente a condição de ChartResolver para evitar renormalização? Or "validar que a remoção de datas no resolver não remove intenção quando raw tiver periodo" done actually. - Decidir whether comment on low-maintainability items or only top 3-4. Current Focus: Consolidate and post a focused set of review comments around (1) missing server-side member scope validation for AI analysis and (2) inconsistent date-filter removal between controller/resolver (and template), plus low-severity notes (multi-member silent first, global insufficient-data message scope). Must be in Portuguese. Keep concise. Use headings exactly: ### Problemas de código identificados (or Identified Code Issues? The prompt said headings in portuguese). It says "Organize the summary using the following five dimensions" with English headings. But also "Always respond in Portuguese". I can keep English headings for the dimensions like they specified in Output Format, content in pt-BR. That is safer regarding dimension headings. Let's write with the English headings and Portuguese text. For dimension with no relevant content, omit. Include Completed Tasks and Pending Tasks, Current Focus. Use severity sorted high→low. Let me decide which items go under issues vs tool conclusions. Also keep Example style. Now make the file paths/line ranges: - `src/Controller/PeopleAnalyticsApiController.php` (linhas 108-120) - `src/Service/PeopleAnalytics/Chart/ChartResolver.php` (linhas 72-79) - `src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php` (linhas 99-107) - `src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php` (linhas 91-93 e 592-624) - `templates/people_analytics/chart_detail.html.twig` (linhas 2623-2635) — mention as medio? I'll keep only in conclusion/pending maybe. Confirmed issues list: 1. HIGH `src/Controller/PeopleAnalyticsApiController.php` — endpoint IA para `analise_de_membro` sem checagem de escopo (pulou o fluxo de permissão usado nos endpoints de dados) expondo dados de membro a usuário com escopo restrito via POST direto, inclusive envio a provedor externo. Evidência: chart data endpoints usam paPermissionService->applyPermissionFilters; MemberAnalysisService agora restringe consultas ao membro; pessoa fora do escopo conseguiria análise de outro membro. 2. MEDIUM `src/Controller/PeopleAnalyticsApiController.php:115-120` + `ChartResolver.php:72-79` — inconsistência: controller remove datas quando `periodo` ausente mesmo se payload tiver start/end explícita; resolver só remove se nenhuma das chaves estiver presente; análise pode ignorar período do gráfico. 3. LOW `ChartFilterNormalizer.php` — derivação de member_id de múltiplas chaves e seleção silenciosa do primeiro membro quando no payload existir `membro`/`member_ids` com mais de um item; para análise individual pode gerar análise do membro errado sem erro. 4. LOW `ChartAiAnalysisService.php:592-624` — guard nova global para todos módulos, texto fala "colaborador possui dados no período"; escopo maior em relação ao PR e mensagem inadequada em dashboards agregados. Maybe better to say "escopo global fora do módulo analise_de_membro + copy específica". 5. LOW `MemberAnalysisService.php` — catálogo duplicado de chart ids (match em getChartData vs chartMetadata) com duplicação para manutenção; array_merge metadata+chartData sobreescrito por keys do chartData. Hmm I verified no collisions; so maybe mention only maintenance. Omit template issue as confirmed; mention in pending. Tool Call Conclusions: - get_function/review_file calls read the exact flow ... - `MemberAnalysisController`: endpoints de dados aplicam PeopleAnalyticsPermissionService->applyPermissionFilters; endpoint `chartAiAnalysis` não; mesmo módulo sem permissão → confirma risco. - `ChartFilterNormalizer`: normaliza `membro`→member_ids e mantém mapa adicional; default 6 meses é re-adicionado na segunda normalização do resolver → necessidade de unset específico. - `MemberAnalysisService`: consultas usam company_id da sessão; membro só é aplicado via chave `membro` definida em getChartData; métodos de gráfico usam userAccess->getSelectedCompany(). - `produtividade-dashboard.js`: remoção não deixou referências soltas; novo helper só é carregado na dashboard produtividade. - `ChartAiAnalysisService`: privacy check é stub (sempre allow), guard novo insuficiente roda efetivamente em todos módulos. - Não há função global `window.setButtonLoading`, então branch fallback no helper roda. Completed Tasks: - Determinado que o fluxo antigo (antes do PR) não enviava a chave `membro` normalizada para o MemberAnalysisService; com o PR o membro passa a ser filtrado. - Verificado que o endpoint de IA não injeta paPermissionService. - Verificar remoção das funções em produtividade-dashboard não deixa referências. - Ler chart_detail e confirmar que o bloco novo adiciona member_id vindo da URL e remove filtros de data quando a URL não tem período explícito. Pending Tasks: - Postar comentários finais na conversa de revisão (escolher os comentários a enviar e ancorar nas linhas). - Verificar se há fluxo real em produção para analise_de_membro que envie `start_date`/`end_date` sem `periodo` (para calibrar severidade do item 2). - Decidir se comentários de baixa severidade (multi-membro silencioso, copy global "colaborador") devem ser incluídos com os principais. - Confirmar se a template do chart_detail precisa propagar periodos da URL para currentFilters (possivelmente não tem fluxo atual que envie datas explícitas sem `periodo`). Current Focus: Consolidar achados e definir conjunto final de comentários para postar — principal: falta de validação de escopo do membro no endpoint IA; secundário: inconsistência na remoção de datas de período entre controller/resolver/template. Let’s produce final output with appropriate headings. Keep format simple.
### Identified Code Issues - [HIGH] `src/Controller/PeopleAnalyticsApiController.php` — autorização/escopo: o endpoint de IA do módulo `analise_de_membro` aceita `member_id` vindo do corpo/URL sem aplicar `PeopleAnalyticsPermissionService::applyPermissionFilters` / `canViewMember`, ao contrário dos endpoints de dados do gráfico (`MemberAnalysisController`). Com a nova normalização de `membro`/`member_ids` e o filtro de membro aplicado em `MemberAnalysisService`, um usuário de escopo self/team pode solicitar análise individual de outro membro — incluindo envio dos dados desse membro para o LLM externo. - [MEDIUM] `src/Controller/PeopleAnalyticsApiController.php:115-120` — lógica de período divergente: remove `start_date`/`end_date` sempre que `periodo` está ausente no payload bruto, mesmo quando o cliente envia datas explícitas (`start_date`/`end_date`). O `ChartResolver` só remove quando nenhuma das três chaves existe; isso pode gerar análise de IA fora do período exibido no gráfico. - [LOW] `src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php:99-107` — derivação silenciosa de `member_id`: quando a requisição traz múltiplos membros via `membro`/`member_ids`, seleciona o primeiro sem erro/aviso; para módulo de análise individual isso pode gerar análise do membro incorreto sem feedback. - [LOW] `src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php:592-624` — guard `insufficientDataResponse` tem escopo global (todos os módulos/dashboards), mas os textos são específicos do módulo de membro ("o colaborador possui dados no período"); comportamento muda mais que o escopo declarado do PR. - [LOW] `src/Service/PeopleAnalytics/MemberAnalysisService.php:62-88` — manutenção: os mapas de `chartId` em `getChartData` e `chartMetadata` são duplicados; novos gráficos podem facilmente ficar dessincronizados quando um deles for alterado e o outro não. ### Tool Call Conclusions - `PeopleAnalyticsApiController::chartAiAnalysis` não injeta/usar `PeopleAnalyticsPermissionService`, enquanto `MemberAnalysisController` aplica `applyPermissionFilters` em todos os endpoints de dados de membro — confirma o gap de autorização no endpoint IA. - `ChartFilterNormalizer` mapeia agora `membro` → `member_ids`, adiciona fallbacks de `member_id` e injeta datas padrão (6 meses) quando não existem; isso exige o `unset` posterior no `ChartResolver` — fluxo validado. - `MemberAnalysisService`: os métodos de gráfico filtram apenas pela empresa da sessão (`userAccess->getSelectedCompany()`); o filtro pelo membro específico só passou a valer com o novo `membro`/`member_id` aplicado em `getChartData`. - `MemberAnalysisController` é o padrão de referência: mesmo para requisições `membro[]` inválidas, o escopo é validado server-side — o endpoint de IA não segue esse padrão. - Não há função global `window.setButtonLoading`, então o fallback interno do helper `adriana-chart-analysis.js` sempre será utilizado. - Após remover as funções locais em `produtividade-dashboard.js`, não ficaram referências soltas a `requestAnalysis`, `renderAnalysisResult`, `setAnalysisLoading` etc. - `ChartAiAnalysisService::checkPrivacy` é stub (sempre retorna `allowed: true`); o novo guard de dados insuficientes é, na prática, o único gate que intercepta payload vazio antes da chamada ao LLM. ### Completed Tasks - Revisados todos os arquivos do grupo de revisão e diffs de contexto. - Mapeado o fluxo da análise de IA do módulo `analise_de_membro` (template → controller → normalizer → resolver → member service). - Confirmado que a mudança do PR passa a enviar dados do membro selecionado para a IA, mas sem validação de escopo no servidor. - Confirmada a divergência de condições de remoção de datas entre `PeopleAnalyticsApiController` e `ChartResolver`. - Verificada a remoção de funções duplicadas no dashboard de produtividade e ausência de referências pendentes. - Confirmado que os métodos de gráfico usam apenas `userAccess->getSelectedCompany()` como isolamento por empresa, sem checagem de visibilidade por membro. ### Pending Tasks - Postar na conversa de revisão os comentários finais ancorados nas linhas novas dos arquivos (controller, resolver, normalizer, chart AI service). - Verificar se existe fluxo real no chart_detail do módulo `analise_de_membro` que envie `start_date`/`end_date` sem `periodo`, para calibrar a severidade do comentário sobre divergência de período. - Decidir se os pontos de severidade baixa (multi-membro silencioso e texto global "colaborador" no guard de dados insuficientes) devem ser incluídos junto aos principais. ### Current Focus Consolidar os achados e definir o conjunto final de comentários a postar, priorizando a falta de validação de escopo do membro no endpoint de IA e a inconsistência na remoção de filtros de período entre controller/resolver.

review_filter_task

Request #1 deepseek-v4-flash P:8.43K C:1.63K CR:3.71K CW:0 12945ms
Reasoning
Let me analyze each comment against the diffs. The comments are c-0 through c-4. Let me go through them. **Step 1 — protected-subject veto.** c-0: about a rule that removes period filters, behavior difference between layers. It discusses behavior change / logic. Subject: the condition in PeopleAnalyticsApiController.php. Is it protected? It's about behavioral/compatibility? Hmm. The comment is about a logic condition discrepancy. It's not memory safety, concurrency, linkage, unused parameter. It's about behavior of a rule... Actually it claims the behavior differs from other layers and could be wrong. Protected subjects include "behavioral or compatibility change — a message, field, status, or default that the old code produced and the new code no longer does". Is this comment about a behavior change? It's about the new code introducing a rule that discards start_date/end_date when periodo missing. This is a claim about the new logic being inconsistent. Not exactly protected category. Let me think: it's not about "the old code produced X and new code no longer does". It's about correctness/inconsistency of new logic. I'd say not protected — it's a semantic review comment but the veto is about categories where wrongly removing is expensive: memory safety, concurrency, linkage, behavioral/compat change, unused parameter. This comment concerns whether the removal of date filters is correct/consistent. Hmm, "behavioral change" - the code does change behavior (removes date filters before). Actually the comment critiques that this discards dates even when client sent explicit dates, leading the AI analysis to consider a different period than shown. That's a behavioral claim about runtime semantics. Not clearly in protected list. Let me assess ground A/B. Ground A: does the code described exist in the subject file diff? The subject file is PeopleAnalyticsApiController.php, and the diff shows the added `if ($module === 'analise_de_membro' && !isset($rawFilters['periodo'])) { unset($filters['start_date'], $filters['end_date']); }` block. Yes, code present. The comment's claim: the condition differs from template and ChartResolver; here any payload without `periodo` discards start_date/end_date even if client sent explicit dates. That's a factual reading of the code: the condition checks only `!isset($rawFilters['periodo'])`, so if client sends start_date/end_date without periodo, they get discarded. That matches the diff. ChartResolver's condition checks all three absent. Template also checks all three. So the comment's central claim is factually consistent with the diff. So approve c-0. Wait, but the "existing_code" snippet in the comment matches the diff. The comment is accurate. Approve. c-1: about ChartAiAnalysisService.php. Subject: hasInsufficientData logic now triggers for any chart of any module, not just member analysis, but the text is member-specific ("Verifique se o colaborador..."). Check diff: In ChartAiAnalysisService.php the added block is inside some function (line 87-90 region). The comment claims the insufficient data deviation fires for any chart of any module. From the diff, the block `if ($this->hasInsufficientData($qualityFlags, $derivedMetrics))` is added inside a function; we can't see whether it's gated by module. But the comment says "dispara para qualquer gráfico de qualquer módulo". Hmm, is that readable from the diff? The added code in ChartAiAnalysisService.php doesn't show a module check, but we don't see full function context. The comment says the response text is member-specific and the change affects all modules. We can see the insufficientDataResponse text mentions "Verifique se o colaborador possui dados no período selecionado" — that's in the diff. But is it fired for all modules? The diff doesn't show gating by module. Not provably wrong. We can't verify the module scope. Approve. This isn't protected subject? It's about behavioral change in service. It mentions behavior change for empty charts (before went to AI, now return ready response). That's a behavioral change claim but the comment is about... it's a review concern. Anyway can't prove wrong. Approve. c-2: ChartFilterNormalizer.php. Comment: when multiple member IDs arrive, first is chosen silently. Subject code: `if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) { $normalized['member_id'] = (int) reset($normalized['member_ids']); }`. Diff contains exactly this. The comment's claim is consistent: reset takes first. Also a `foreach` loop handles single member keys. Nothing contradicts. Approve. c-3: MemberAnalysisService.php. Comment about authorization/scope: the AI flow doesn't apply permission filters/canViewMember, while data endpoints do. Subject file diff: shows memberId extraction from multiple keys and setting filters. The claim about a security gap: is that provably wrong from diff? We can't see MemberAnalysisController or the controller chartAiAnalysis. The comment references files not in the diff. Not provable wrong. Also this is about authorization/memory? Not protected. Approve. Actually the comment says this flow (controller chartAiAnalysis + ChartResolver) does not apply PeopleAnalyticsPermissionService::applyPermissionFilters() nor canViewMember(). We can't verify from diff. Approve. c-4: MemberAnalysisService.php. Comment: chart catalog now exists in two separate points (dispatch match and chartMetadata match); when adding a chart to one, other returns generic title/type. The array_merge allows chart data to override title/type. Subject code `return array_merge($this->chartMetadata($chartId), $chartData);` in diff. Is the claim factually wrong? The diff shows chartMetadata returns title/type, array_merge($metadata, $chartData) — chartData later keys override metadata. That matches comment. Also chartMetadata default returns generic for unknown. Comment is accurate description. Approve. Now check each for protected veto more carefully. c-0: Is it about "behavioral or compatibility change"? The rule removes date filters — is it "a behavioral change"? The comment critiques the new rule discarding explicit dates. But comment subject isn't "old code produced X new no longer" — it's about consistency among layers. I'd approve anyway (can't prove wrong). c-1: Might be protected as behavioral change? "a change in behavior for legitimately empty charts of other modules (before went to AI, now return ready response) happens in this PR". That's describing a behavior change. Actually the comment is critiquing it. Either way, not removable because it can't be proven wrong and arguably protected. Approve. c-3: This is about authorization/security. Is it "memory safety"? No. But it's essentially an authorization claim about code not visible. Approve. So all approve. Let me double-check Ground A for each — code described present in subject file diffs: c-0: yes present. c-1: yes, block present in subject file. c-2: yes. c-3: yes snippet present. But the comment also describes MemberAnalysisController and canViewMember behavior — not visible. Can't prove wrong. c-4: yes, array_merge line present. Ground B: any diff line literally contradicting central claims? None. So approve all. I'll call approve_all_comments.
Tool Calls (1)
approve_all_comments
Show Details
{}
Request #2 deepseek-v4-flash P:7.33K C:770 CR:3.71K CW:0 6041ms
Reasoning
Let me analyze this comment carefully. The comment (c-0) targets `src/Service/PeopleAnalytics/MemberAnalysisService.php`. It says: "Ao forçar o filtro de um único colaborador em todos os gráficos do módulo, os três gráficos comparativos (boxplot da equipe com membro destacado, ranking de produtividade e scatter membro × time) passam a rodar com a consulta restrita a um único cm.id." The claim is about behavioral change: the code forces a single-member filter on all charts, and this affects comparative charts (boxplot, ranking, scatter). The comment says that `$filters['membro'] = [(int) $memberId];` is applied for all charts, restricting the query to a single `cm.id`, which breaks the comparative charts that were designed to aggregate team/company data and highlight the member. Is this a behavioral change / compatibility concern? Yes — it's about behavioral changes in the queries. Actually let's think about protected subjects: "Behavioral or compatibility change — a message, field, status, or default that the old code produced and the new code no longer does; an altered error path; a counter whose update moved to a different point in the lifecycle." The comment is essentially about a behavioral change caused by the new code: forcing member filter restricts comparative charts. This is about runtime behavior/business semantics. It's a behavioral/compatibility concern. Protected subject veto applies → approve. Also, the diff itself shows `$filters['membro'] = [(int) $memberId];` is applied unconditionally before the match. This confirms the comment's central claim that the filter is applied to all charts. But the comment's deeper claim about the three comparative charts aggregating team data... we can't verify from diff alone (they're methods in the same file but not visible in the diff). The Agent had access to the full codebase. Actually, is there anything that literally contradicts? The diff does show `$filters['membro'] = [(int) $memberId];` applied before the match, unconditionally. So the comment's central claim (filter forced on all charts) is consistent with the diff. The claim about comparative graphs breaking is about runtime behavior — can't be disproven by the diff. The protected subjects: this is arguably a behavioral change concern. Also it reasons about runtime behavior/business semantics in code we cannot fully see. We should approve. Let me confirm: is there Ground A? The comment targets code that is in the diff: `$filters['membro'] = [(int) $memberId];` — yes that line is in the diff. So Ground A fails. Ground B? Is there a diff line that literally contradicts the central claim? The central claim is that the member filter is forced for all charts, causing the comparative charts to run restricted to a single member. The diff indeed contains `$filters['membro'] = [(int) $memberId];` before the match, unconditional. That supports the claim rather than contradicts. The claim about the graph methods' design (aggregating team) can't be verified from the diff, but we can't disprove. Actually, one might argue that chartMetadata and the getChartData pass $filters to the chart methods, and those methods may ignore the membro filter or use it only for highlight. But we cannot see those methods in the diff. So we cannot prove the comment wrong. Step 1: Protected subject — behavioral change. Approve. So approve all comments.
Tool Calls (1)
approve_all_comments
Show Details
{}
public/js/people-analytics/modules/produtividade-dashboard.js,templates/people_analytics/produtividade_dashboard.html.twig 36 requests

plan_task

Request #1 deepseek-v4-flash P:6.98K C:10.06K CR:1.41K CW:0 79747ms
Reasoning
The user wants me to analyze code changes and produce a structured review plan. Let me analyze the two files in the review group: 1. `public/js/people-analytics/modules/produtividade-dashboard.js` - Modified 2. `templates/people_analytics/produtividade_dashboard.html.twig` - Modified Let me understand the changes: ### produtividade-dashboard.js The diff shows: - Removed `setAnalysisLoading(key, loading)` function - Removed `renderAnalysisList(title, items)` function - Removed `renderAnalysisResult(key, analysis)` function - Removed `requestAnalysis(key)` function - Modified `bindUiActions()` to call `window.PeopleAnalytics.AdrianaChartAnalysis.bind({...})` instead of binding click handlers to `[data-analysis]` buttons directly ### produtividade_dashboard.html.twig - Added a new script tag for `adriana-chart-analysis.js` before `produtividade-dashboard.js` The new shared module `public/js/people-analytics/modules/adriana-chart-analysis.js` was added (referenced as ADRIANA_CHART_ID, etc.). Wait — that file is in "other_changed_files" but not in this review group. The review group only includes the two files above. Key risk points to analyze: 1. **Contract between JS and new shared module**: The removed `requestAnalysis` function used to fetch with `chartId` from `ANALYSIS_CHART_ID` map. Now it calls `window.PeopleAnalytics.AdrianaChartAnalysis.bind(...)` with a `chartMap`, `selector`, `getFilters`, `question`, and `module`. The new shared module is added in the same PR (other_changed_files). Need to verify: - Does the `AdrianaChartAnalysis` global exist/load before `produtividade-dashboard.js` runs? The script order in twig: `adriana-chart-analysis.js` is loaded before `produtividade-dashboard.js` — good. - But wait, `bindUiActions()` is called when? Need to check the timing in the original file. Also whether `window.PeopleAnalytics` exists. If `adriana-chart-analysis.js` doesn't define `window.PeopleAnalytics.AdrianaChartAnalysis`, the bind won't happen and analysis buttons break silently — the code does `if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis)` so it silently no-ops. That's a regression risk: if the shared module fails to load or is not present in some page (e.g., chart_detail.html.twig also modified?), the buttons do nothing. Actually the guard means no error but also no analysis function. Let me check: previously `requestAnalysis` was in this file; now it's delegated to the shared module. If the shared module isn't loaded on all pages that include produtividade-dashboard.js, the analysis buttons silently stop working. - In produtividade_dashboard.html.twig, the script is added, so the module loads there. Good. But is produtividade-dashboard.js used in any other template? Possibly. If the same JS file is loaded in another template without the new script, the analysis feature breaks there. Worth checking with file_find / code_search. 2. **Selector scope**: `.pa-prod-dash .pa-prod-analysis[data-analysis]` — need to verify the actual DOM structure in the twig template uses those classes. Previously, binding was `document.querySelectorAll('[data-analysis]')` — now it is more specific `.pa-prod-dash .pa-prod-analysis[data-analysis]`. If the buttons do not have the class `pa-prod-analysis` or the container does not have `pa-prod-dash`, the event handlers won't attach. Need to verify against the template markup. Let me search in the template for `data-analysis`. 3. **`ANALYSIS_CHART_ID` and `currentFilters`**: The chart map and `getFilters` closure captures `currentFilters` variable reference. If `currentFilters` is reassigned (not mutated), the closure would still reference the old object. Check whether `currentFilters` is reassigned elsewhere — if on filter change, `currentFilters = newFilters`, the closure returns stale filters since bind captured the variable... Actually closure captures the variable binding, not the value, but `currentFilters` is declared with `var` or `let` inside the module scope; if it's reassigned within the same scope, the closure will see the updated value (closure captures variable, not value). Unless the shared module's bind copies `getFilters` once. The value returned is evaluated at call time via `getFilters()`, so it should be the current value. But need to know whether bind stores getFilters as function (called per request) or calls it once. This is in the other file which I cannot see directly. Still, I could inspect the adriana-chart-analysis.js through tools if relevant. 4. **The template change**: adding the script with cache-busting `?v={{ 'now'|date('YmdHis') }}` — that's consistent with the print-report.js pattern used before. Fine. 5. **Dead code**: Functions removed (`setAnalysisLoading`, `renderAnalysisList`, `renderAnalysisResult`, `requestAnalysis`) — the removal is consistent if no other references remain. Check whether `notify` function still used, `escapeHtml` still used by other functions, `getAnalysisPanel` still used — `getAnalysisPanel` remains, is it still used anywhere? It was used by `renderAnalysisResult` only maybe? Actually `getAnalysisPanel(key, createIfMissing)` remains but if nothing uses it → dead code. Need to search for `getAnalysisPanel` usage in the file. Also `setAnalysisLoading` was referenced by `requestAnalysis` only. `notify`, `escapeHtml`, `normalizePercent`, `currentFilters`, `API_BASE` — check whether they're still referenced. 6. **Module loading order / possible race**: bindUiActions might run on DOMContentLoaded or immediately; the guard handles missing global. Actually if bindUiActions runs before adriana-chart-analysis.js executes... but scripts are synchronous and loaded in order, so by the time produtividade-dashboard.js runs, the shared script has executed, provided there's no `defer`/`async` attribute. The twig includes both as plain scripts without defer — so order holds. Good. 7. **The `ANALYSIS_CHART_ID` map is still used** — passed as `chartMap`. Confirm the map keys/values align with what the shared module expects (key → chart id). The shared module probably uses chartMap identifiers with module prefix. Previously keys were plain like `'carga-produtividade'`? And the new module may prefix with module name `produtividade`. Without seeing the shared module, can't verify — but analysis tools can search for ANALYSIS_CHART_ID definition and usage in adriana-chart-analysis.js to check contract. Since the new file `adriana-chart-analysis.js` is in other files changed and central to the contract, I should plan tool calls: - `code_search` for `ANALYSIS_CHART_ID` in produtividade-dashboard.js to see the map. - `code_search` for `AdrianaChartAnalysis` / `bind` in the new file to confirm what bind expects (module, chartMap, selector, getFilters, question) and whether chartMap keys get prefixed. - `code_search` for `data-analysis` in produtividade_dashboard.html.twig to confirm DOM classes `.pa-prod-analysis` and container `.pa-prod-dash` exist (selector correctness). - `file_find`/`code_search` for other templates including `produtividade-dashboard.js` to verify all consumers load the new script. - `code_search` for `getAnalysisPanel`, `notify`, `escapeHtml`, `API_BASE`, `currentFilters` to check dead code / dangling references. - `file_read_diff` for the new module and other PHP files (member analysis service etc.) — wait, file_read_diff shows diff of other files; but for an ADDED file, file_read_diff should show full content as added. That lets me verify the bind contract and rendering. The instruction says file_read_diff is used to view changes made to other files in the list of modifications. Good. Let me now think about issues in severity order. Issue candidates: A. **Silent feature regression risk if shared module missing**: the `if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis)` guard means if `adriana-chart-analysis.js` isn't loaded on any page that includes `produtividade-dashboard.js`, no handler is attached and no error is raised — buttons silently do nothing. Previously the buttons worked because requestAnalysis was embedded. Need to find all templates that include produtividade-dashboard.js: if any template other than produtividade_dashboard.html.twig includes it without the new script, regression. Medium/high? The PR only modified produtividade_dashboard.html.twig to add script; if the JS is used on other pages (e.g., chart_detail? no that's different module), we need to verify. Actually, `ANALYSIS_CHART_ID` is specific for this module, likely used only in this page. But produtividade-dashboard.js could also be loaded on a "print" or other views. Use code_search to check. Also the guard "if" means chart_detail (modified to load module?) — the other changed file chart_detail.html.twig also got +14 modifications, presumably loading adriana-chart-analysis.js too and binding with its own module. Actually chart_detail.html.twig adds the script maybe. OK. B. **Selector mismatch risk**: The new bind selector `.pa-prod-dash .pa-prod-analysis[data-analysis]` may not match actual DOM. Need code_search on the twig template (or produtividade-dashboard.js? data-analysis markup is in template). Search `data-analysis` in templates/people_analytics/produtividade_dashboard.html.twig to verify markup classes. Also check the markup has `pa-prod-analysis` class and panel is `.pa-prod-card`. If markup mismatch → events not bound → buttons do nothing. Medium-high. C. **`getFilters` closure/stale filters**: bind receives `getFilters` returning `currentFilters || {}`. Need to check the shared module: does it call getFilters() per request, or does it snapshot? Also verify with the question param and currentFilters shape (member_id normalized etc.). The PR's core bug fix is about member filters; the dashboard passes raw `currentFilters`, and shared module may transform via backend; this is fine. But if the shared module alters filters (e.g., strips empty values) and sends to backend in the same way the old code did (body: {filters, question}), need to verify payload contract matches `PeopleAnalyticsApiController` endpoint `/chart/{id}/ai-analysis`. The request body in old code was `{filters, question}`. The new module presumably sends the same — check by file_read_diff of the new module. Also the response handling: old code expected `json.success`, `json.ai_analysis` with `title, summary, key_insights, ...`. New module should render similarly. Possibly the shared module renders using a common markup. Contract preserved? Need to confirm. D. **Backward compat between old removed functions and remaining references**: `getAnalysisPanel` remains but is it still used by the new module? It was in produtividade-dashboard.js scope, not exported. If nothing references it now, dead code with low severity. Also check `setAnalysisLoading` references elsewhere. Actually the new shared module probably has its own loading function and panel rendering; the now-unused `getAnalysisPanel` in this file is dead. Also `notify`, `escapeHtml`, `normalizePercent` may still be used in heatmap insight etc. Let me plan code_search to map references. E. **Cache-busting parameter makes cached shared file**: not an issue. F. **Module-level global name set by new file**: If adriana-chart-analysis.js fails to load (network 404 due to asset path typo), produtividade-dashboard.js guard silently skips. This combines with A. G. **Any issue with script defer/order**: twig includes print-report.js, adriana-chart-analysis.js, produtividade-dashboard.js — order fine. H. **Event binding double-run**: bindUiActions is called possibly more than once (e.g., after AJAX content reload?). In old code each call to bindUiActions would addEventListener to all [data-analysis] buttons — if bindUiActions called twice, buttons would trigger multiple requestAnalysis calls. In the new code, bind may attach listeners again on the same selector → double. But bind likely is idempotent (event delegation). Check the shared module for document-level delegation vs per-button binding. If per-button binding, repeated bindUiActions (maybe on filters partial refresh) would duplicate handlers and trigger multiple simultaneous analyses. In adriana-chart-analysis.js, is bind implemented with a single delegated listener (document.addEventListener('click', handler) checking closest selector)? If so, multiple binds could add multiple delegated listeners → duplicate requests on every click. This is a real risk to verify. Search the shared file. I. **Other chart_detail template also binds with its own module** — interplay not relevant to this diff review group. Given that this review group's two files show a refactor delegating to a new shared module, the biggest risks are: 1. Contract mismatch with the new shared module / silent no-op if not loaded (high/medium). 2. Selector mismatch with DOM (medium). 3. Duplicate bindings / race (medium). 4. Dead code left behind (getAnalysisPanel) (low). 5. Template script include order / missing include in other usages (medium). Now I need to produce only the plan, not actually call tools. I need to order issues by severity and include the tool guidance lines. Let me also double check the diff for the produtividade-dashboard.js around bindUiActions. The new lines: ```js function bindUiActions() { if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { window.PeopleAnalytics.AdrianaChartAnalysis.bind({ module: 'produtividade', chartMap: ANALYSIS_CHART_ID, selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]', getFilters: function () { return currentFilters || {}; }, question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.', }); } ``` Plausible. Now the old code bound listeners directly to all [data-analysis]. Buttons are inside `.pa-prod-analysis` panels? Actually in the old code `renderAnalysisResult(key, analysis)` calls `getAnalysisPanel(key, true)` using `btn.closest('.pa-prod-card')`. So buttons were inside .pa-prod-card. Wait, selector used: `.pa-prod-dash .pa-prod-analysis[data-analysis]` — need to check the data-analysis attribute is on an element with class `pa-prod-analysis`. In original, `setAnalysisLoading` queried `[data-analysis="${key}"]` and label was `.pa-prod-analysis__label` within the button? `btn.querySelector('.pa-prod-analysis__label')`. Hmm that was in button? Possibly button contains span.pa-prod-analysis__label. So data-analysis attribute is on <button class="... pa-prod-analysis ...">? Let me check: getAnalysisPanel does `document.querySelector('[data-analysis=...]')` then `.closest('.pa-prod-card')`, then gets or creates `[data-analysis-panel]`. So the button must be within a `.pa-prod-card`. Does the button itself have class `pa-prod-analysis`? The new selector `.pa-prod-dash .pa-prod-analysis[data-analysis]` — wait but the panel header has class `pa-prod-analysis-panel__header` etc, the avatar... Hmm. The selector could match the panel? Actually if the panel had `data-analysis` attr it is `data-analysis-panel` maybe. Need to check template markup for `data-analysis="..."`. Let me figure out the exact template markup isn't visible; we should search. But for the review plan, we present issues and planned tools. I think there are several specific risks worth listing. Since this is just the plan, I'll list medium/high priority issues with tool calls; low ones too. Also there is a factor of "escaping HTML" in `escapeHtml(item)` used in renderAnalysisList. Since renderAnalysisList was removed, the shared module's rendering must escape content from AI — but it was removed from scope; content comes from Adriana AI. Anyway not part of the diff. Now specifics of scale: the review group only has 2 files, but the other files list includes the new module file and PHP files. My issues may require verifying those other files through tool calls; since tools are reference (not invoked), I will describe intended calls. Let me draft issues: 1. **[high]** Delegação da análise de IA para módulo externo pode silenciosamente parar de funcionar: bindUiActions agora só anexa handlers se `window.PeopleAnalytics.AdrianaChartAnalysis` existir; se adriana-chart-analysis.js não for carregado em qualquer página/template que inclua produtividade-dashboard.js (ou falhar ao carregar), os botões `[data-analysis]` ficam sem ação e sem erro, regressão funcional de UX silenciosa. O bind antigo era embutido e sempre funcionava. Verificar todos os templates que carregam produtividade-dashboard.js e confirmar que todos incluem o novo script antes; considerar logar erro quando global ausente. - `code_search` `produtividade-dashboard.js` — find templates include; - `file_read_diff` new js module — confirm how bind is exported/exposed, whether loaded as synchronous script; - `code_search` `AdrianaChartAnalysis` in new module — check assignment `window.PeopleAnalytics = window.PeopleAnalytics || {}` ordering. 2. **[high/medium]** Seletor de eventos mais restrito vs marcação atual pode desligar o botão: novo bind usa selector `.pa-prod-dash .pa-prod-analysis[data-analysis]`; anterior usava `[data-analysis]` global. Se o HTML real dos cartões não tiver essas classes/contexto, quando o bind for baseado em delegação, o clique não dispara, e se for bind direto, os nós iniciais podem não corresponder; conferir a marcação no template. - `code_search` `data-analysis` in the template. - `file_read_diff` adriana-chart-analysis.js — how bind works (delegation vs direct). 3. **[medium]** Duplicidade de handlers chamando bind mais de uma vez: Se bindUiActions for reexecutado (recarregar filtros, re-render etc.) e o bind do módulo compartilhado registrar listeners (especialmente por delegação no document), cada chamada pode duplicar o disparo de requisição de análise — antes cada botão tinha addEventListener único por execução de bindUiActions? Hmm wait, old code also re-registered each time bindUiActions was called... old code with direct addEventListener per button: if bindUiActions called twice, same button has two listeners → also double-trigger. So no worse than previous behavior. But it's about the new module bind idempotency, and also the guard previously didn't exist: if a chart_detail page... nah. Actually more relevant risk: With delegated listener, each click could be handled once per bind call. If the module stores its state, or registers listener only once (guarded), it's fine. So we need to look at adriana-chart-analysis.js implementation. Medium severity, requires checking shared file. 4. **[medium]** Contrato do payload/resposta com o backend pode ter mudado silenciosamente ao mover o requestAnalysis para o módulo compartilhado: o requestAnalysis removido enviava `{ filters: currentFilters, question }` para `/chart/{id}/ai-analysis` e tratava `{success, ai_analysis}`. É preciso conferir o que o módulo compartilhado envia/espera e que casou com PeopleAnalyticsApiController (alterado na mesma PR) — principalmente porque os filtros agora passam por `getFilters()` e podem ser transformados por `module`/`chartMap`; variações de membro devem continuar sendo normalizadas. Se payload divergir, análise individual volta a mandar "dados vazios" (bugfix alvo da PR não resolvido). - `file_read_diff` adriana-chart-analysis.js — request construction; - `file_read_diff` PeopleAnalyticsApiController.php and ChartFilterNormalizer.php — contract. 5. **[low/medium]** Código morto deixado no arquivo: `getAnalysisPanel` permanece e era usado apenas por `renderAnalysisResult`, que foi removido. Se nada mais usa, é sobra. Also after removing requestAnalysis, `API_BASE`, `notify`, `escapeHtml` may be orphaned. Better search remaining references. Low. - `code_search` `getAnalysisPanel` in this file. 6. **[low]** (maybe) Cache-busting `?v={{ 'now'|date('YmdHis') }}` in template has its own nuance? In an environment with multiple servers or CDN, if the pages with different module script versions... nah. 7. **[medium]** global namespace collision `window.PeopleAnalytics.AdrianaChartAnalysis` evaluated at bindUiActions execution time: If the module script (adriana-chart-analysis.js) is loaded with cache-busting but from a CDN/fail with slow network? scripts are synchronous... not relevant. Or if produtividade-dashboard.js is now also loaded on a page that doesn't include the library — issue 1 covers. 8. Fallback: the script addition to template only includes once, but the twig also possibly includes print-report.js and module. OK. Another angle: In the template, they add `adriana-chart-analysis.js` with cache bust `?v={{ 'now'|date('YmdHis') }}`. Since this template was previously caching produtividade-dashboard.js with `now` break; each load bust. OK no issue. Now check whether the produtividade-dashboard.js is loaded in chart_detail.html.twig? Not necessarily; chart_detail probably loads a different module file chart-detail.js or similar, and it also adds adriana-chart-analysis.js. Anyway issue 1 tool call will find all usages. Alright, prioritize with high first. Let me also think about higher risk: The bind could use chartMap where keys (data-analysis attr values) looked up in ANALYSIS_CHART_ID to chart ID. In old code `requestAnalysis(key)` called `ANALYSIS_CHART_ID[key]`. If data-analysis values don't match — e.g., includes prefix — and bind with module 'produtividade' does `chartMap[key]` returns undefined then maybe throws. Need to check the shared module handles missing chart id with user friendly message; the old code returned early if no chartId — silent. Fine but issue 2 covers. Also — possible XSS in template? Only script include added. no. What about the template addition: loading shared module on every page of dashboard even if analyst doesn't click buttons; minor perf ~? low severity not needed. Could be a "component" check: no component in templates/components for JS modules... Not really. Now craft the final output in pt-BR with exactly the prescribed format. Each issue includes severity tags, description and planning lines with tools. Tools only on reference basis. Let me double check naming of tool calls for file_read_diff with path arrays. Tool call examples: → file_read_diff public/js/people-analytics/modules/adriana-chart-analysis.js — ver como bind é implementado (delegação, payload, tratamento de erro/loading) e se o contrato bate com o requestAnalysis removido. → code_search search_text: produtividade-dashboard.js — achar os templates que carregam este módulo e conferir se todos incluem adriana-chart-analysis.js antes. → code_search data-analysis file_patterns: templates/people_analytics/produtividade_dashboard.html.twig → code_search ANALYSIS_CHART_ID file_patterns: public/js/people-analytics/modules/produtividade-dashboard.js → code_search getAnalysisPanel etc. Also `file_find` query_name: produtividade_dashboard to see template files etc. Generic. Now, the review group only has 2 files, so issues must be about these two files (but can justify with changes in related files). Given the "Analysis rules" require sorting by severity and include three dimensions. Also each issue description must cover place, nature, impact. I'll write in pt-BR and keep them concise but complete. I'll list about 5 issues. Let me write: Summary: O dashboard de produtividade deixa de embutir a lógica de análise por IA (loading/request/render) e passa a delegar para o novo módulo compartilhado AdrianaChartAnalysis, carregado via script próprio no template; o arquivo JS principal agora só faz o bind do módulo com configuração do dashboard. Issues: 1. [high] A nova delegação para o módulo externo pode desativar silenciosamente os botões de análise ... The guard silently no-op. natureza: dependência de globals não verificada avisando. Impacto: feature some. Tool calls: code_search list of templates; file_read_diff docs. Actually I should separate two distinct things: - If produtividade-dashboard.js is included in pages other than produtividade_dashboard.html.twig (without script addition), all analysis buttons break. That's basically high because this module file could be reused in chart_detail (the PR modifies chart_detail too but not show if it loads produtividade-dashboard.js). Need to verify. - If even on this page, the global is missing due to load error, the guard hides the failure → no error logged. Medium. I'll bundle as one high with calls. 2. [high or medium] Changed event contract could cause buttons not being bound due selector mismatch. I'll set medium because unknown without checking DOM; but if the markup indeed lacks class then high. We can rate medium since it requires verification. But wait, the original markup likely already has class pa-prod-analysis on the button? The original functions targeted `[data-analysis]` and used `btn.closest('.pa-prod-card')`, and the loading label was `.pa-prod-analysis__label` via btn.querySelector... This suggests the DOM markup includes classes like `pa-prod-analysis__label`; but the class `pa-prod-analysis` on the element might be the panel, not the button. In original: renderAnalysisResult calls getAnalysisPanel(key, true): ``` const btn = document.querySelector(`[data-analysis="${key}"]`); const card = btn && btn.closest('.pa-prod-card'); ``` Then it looks for `[data-analysis-panel="${key}"]` in card else create panel in card. It also sets `.pa-prod-analysis-panel__header` inside innerHTML. When creating the panel maybe adds class `pa-prod-analysis-panel`. Hmm. the selector we need is `.pa-prod-dash .pa-prod-analysis[data-analysis]`. In old template markup (twig), button may have class `pa-prod-analysis__button` or the card might have class `pa-prod-analysis`. Without template data can't be sure. So this is a genuine verification need. rate medium-high. Description: If selector doesn't match (markup classes different or DOM nested differently, e.g., container not `.pa-prod-dash`), bind won't attach or delegation won't catch clicks → feature off; previously generic `[data-analysis]` worked regardless. This risk is concrete since old code used generic selector and new one narrowed to `.pa-prod-dash .pa-prod-analysis[data-analysis]`. I'll rate high given it can fully break feature if mismatch; but since the author probably matched markup, medium is more reasonable. Provide medium. 3. [medium] Contrato de request/resposta precisa ser conferido. The module must POST same payload structure and backend handling and map AI fields; if mismatch — bugfix target (member analysis empty data) persists; Also chartMap keys derived from `data-analysis` and chart id mapping must be correct. Tools: file_read_diff new module; read backend controller/filter normalizer. Medium. 4. [medium] Possível duplicação de listeners/requisições se bind() for chamado múltiplas vezes ou se houver fluxos que chamam bindUiActions de novo após refresh de filtros; need check idempotence of shared bind and lifecycle. Actually old code didn't have issue; new module maybe delegates globally document-level. If bind adds one delegated listener per call, second bind doubles requests. raise medium. Hmm is bindUiActions called multiple times? Hard to know. Check the file size diff: bindUiActions is defined at ~1195; maybe it is called once per DOMContentLoaded and whenever filters are applied. Common pattern: bindUiActions is called once on init and also Ajax partial refresh call bindUiActions to rebind new controls. If produtividade dashboard partially re-renders cards after filter change (Highcharts), they probably call bindUiActions again. Then old code readded listeners to [data-analysis] each time; because buttons may be replaced? In old code, all buttons with [data-analysis] get another listener on every bindUiActions invocation, causing multiple triggers. So old code might have had double-bind issue too, unless bindUiActions invoked once. New code: if module uses delegation once -> single handler. Anyway the remedy is verifying bind implementation. Keep as medium, though it might be false positive. Or put as low. Let me include as "medium" with a note "if bindUiActions é chamado mais de uma vez" — description in pt-BR. 5. [low] Dead code: getAnalysisPanel and possibly escapeHtml/notify/API_BASE remain unused after removing requestAnalysis/render*/setAnalysisLoading — low code quality. Tool: code_search. 6. [low] The template new script tag adding module to page is OK; other templates that use produtividade-dashboard.js (if any) not updated — but that's issue 1, folding. Now, need to be mindful to not invent issues, but these are legit verifications. Good enough. Now the output format — exactly: Summary: (line) Issues 1. [high] ... → code_search ... — ... → file_read_diff ... — ... No markdown headings; no code fences; plain text. And "Always respond in Português (pt-BR)". The tools output uses English but comments in Portuguese. Let me craft the descriptions in Portuguese, direct language, with location, nature, impact, and suggestion. Be careful that issue descriptions must follow user rule: first sentence simple and direct. Draft Issue 1: "Os botões de 'Gerar Análise' podem parar de funcionar sem nenhum aviso se o novo módulo não estiver disponível. Em vez do requestAnalysis embutido (que sempre existia), o bindUiActions agora só registra os cliques quando `window.PeopleAnalytics.AdrianaChartAnalysis` existir; se o script adriana-chart-analysis.js não for carregado em alguma página que usa produtividade-dashboard.js (ou falhar ao carregar no CDN), o código entra no if e sai sem erro — nenhum listener é anexado e o usuário vê botão morto. É regressão silenciosa de funcionalidade. Verificar todos os templates que carregam produtividade-dashboard.js (o script novo só foi incluído em produtividade_dashboard.html.twig nesta PR) e, se o global não existir, registrar erro no console e/ou manter fallback." Tools: → code_search produtividade-dashboard.js — procura todos os templates/includes que carregam produtividade-dashboard.js para saber se produtividade_dashboard.html.twig é o único consumidor e se todos ganharam o script do módulo. → file_read_diff public/js/people-analytics/modules/adriana-chart-analysis.js — confirmar como o módulo expõe `window.PeopleAnalytics.AdrianaChartAnalysis` e se a ausência de bind gera log de erro (impactando o diagnóstico). Also should ensure the shared module is loaded before this file; include in file_read instruction order. Issue 2: "O seletor usado para ligar os botões ficou mais restrito e pode não casar com a marcação real, deixando a análise clique-mudo. O código antigo fazia bind em qualquer `[data-analysis]`; o novo bind exige um elemento `[data-analysis]` dentro de `.pa-prod-dash` e com classe `.pa-prod-analysis`. Se os botões/cartões no template não tiverem exatamente esse contexto (por exemplo, classe no painel e não no botão, ou contêiner com outro id), nenhum clique dispara a análise — mesmo com o módulo carregado. Conferir o HTML gerado pelo template e o mecanismo interno do bind (delegação em document vs listeners diretos) antes de aceitar." Tools: → code_search data-analysis templates/people_analytics/produtividade_dashboard.html.twig (mais o js) — localizar o elemento com data-analysis e classes pa-prod-* para validar o seletor. → file_read_diff public/js/people-analytics/modules/adriana-chart-analysis.js — ver como o bind usa o selector (delegação ou query direta) e se valida nós encontrados. Issue 3: "O contrato com o endpoint de IA pode ter mudado na migração e reintroduzir o bug de 'dados vazios' que a PR quer corrigir. O requestAnalysis removido montava o corpo `{filters: currentFilters || {}, question}` e mandava para `/chart/{id}/ai-analysis`, esperando `{success, ai_analysis}`; agora os filtros são fornecidos por `getFilters()` e o módulo compartilhado (novo) pode transformar/pular campos. Essa PR também altera o controlador e o ChartFilterNormalizer — é preciso garantir que o payload enviado pelo módulo compartilhado seja o mesmo que o backend passou a aceitar, inclusive para `member_id`/`membro` e para o caso de dashboard sem período explícito; senão a correção não cobre o dashboard de produtividade." Tools: → file_read_diff public/js/people-analytics/modules/adriana-chart-analysis.js — conferir montagem do body, headers (X-Requested-With), tratamento de sucesso/erro e campos renderizados. → file_read_diff src/Controller/PeopleAnalyticsApiController.php src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php — conferir o que o backend espera no payload e o que responde. Also include MemberAnalysisService maybe. Actually the filter normalization of member is in ChartFilterNormalizer, and MemberAnalysisService... Let me include relevant files list — but tool call must list specific file paths. OK multiple array: → file_read_diff src/Controller/PeopleAnalyticsApiController.php — confirmar o endpoint que o módulo compartilhado chama ainda aceita o mesmo corpo e devolve ai_analysis no mesmo formato. → file_read_diff src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php src/Service/PeopleAnalytics/MemberAnalysisService.php — verificar se member_id/labels ainda são normalizados para o payload que o dashboard envia via getFilters(). This is enough. Issue 4: "Se o bind do módulo compartilhado for chamado mais de uma vez, cada chamada pode registrar novos listeners e duplicar requisições de IA ao clicar. O bindUiActions costuma rodar de novo depois de re-renderizações/filtros; o módulo novo precisa ser idempotente (listener delegado único ou guard interno). Se não for, um clique dispara N chamadas simultâneas ao endpoint, gerando custo de IA e respostas duplicadas. Vale confirmar o ciclo de vida do bind no módulo compartilhado." Tools: → file_read_diff adriana-chart-analysis.js — ver se bind() usa um listener delegado único com flag/guard ou anexa um listener por chamada. → code_search bindUiActions - in this dash file with context (~lines) — ver quantas vezes bindUiActions é invocada no fluxo (init, refresh de filtros, paginação). Hmm, code_search in this file for bindUiActions returns call sites. ok. Issue 5 (low): "Sobraram funções sem uso após a remoção do fluxo de análise: getAnalysisPanel continua no arquivo e era usada só pelo renderAnalysisResult removido; é código morto que polui um arquivo já grande. Remover e conferir também notify/escapeHtml e outras referências órfãs." Tools: → code_search getAnalysisPanel — only refs. If none besides definition => dead. Maybe more precise: also verify renderAnalysisList removal didn't leave any callers — removed code — no; dead code is only getAnalysisPanel. Also setHeatmapInsightVisible remains. Let me add: "conferir referências a notify/escapeHtml/API_BASE para não deixar código sem uso". But those may remain used elsewhere in this file (heatmap). The risk is low. Include tool call with multiple terms: `getAnalysisPanel|notify|escapeHtml|API_BASE` regex in file. Use perl regex. Actually instructions: code_search has use_perl_regexp param; Pattern 'getAnalysisPanel|notify|escapeHtml|API_BASE'. That demonstrates advanced use. Also maybe relevant: the template diff only adds the shared script before dashboard script... Need be wary of mandatory rule: every issue description must be aligned and spec. Good. Let me ensure severity ordering: high; medium; medium; medium; low. All issues numbered. Let me now produce the final as plain text. Also need to ensure output not listing Markdown headings, no leading #; okay. Also, no `file_read_diff` for file that isn't modified? file_read_diff is intended for "changes made to other files in the list of modifications". `adriana-chart-analysis.js` is in the change list (other_changed_files include ADDED file). Actually included in other_changed_files listing but not review group; still valid to reference. And code_search searches current files. Good. I'll write it now.
Summary: O dashboard de produtividade deixa de embutir a lógica de análise por IA (loading, request e render) e passa a delegar para o novo módulo compartilhado `AdrianaChartAnalysis`, carregado por um `<script>` adicional no template; o JS principal agora apenas faz o bind do módulo com a configuração do dashboard (mapeamento de gráfico, seletor, filtros e pergunta). Issues 1. [high] Os botões de "Gerar Análise" podem parar de funcionar sem nenhum aviso se o novo módulo compartilhado não estiver disponível. Antes o `requestAnalysis` era embutido no próprio arquivo e sempre funcionava; agora o `bindUiActions` só registra os cliques quando `window.PeopleAnalytics.AdrianaChartAnalysis` existir — se o script `adriana-chart-analysis.js` não for carregado em alguma página que usa `produtividade-dashboard.js` (ou falhar ao carregar), o código cai no `if`, não anexa listener nenhum e não loga erro, gerando botão morto e regressão silenciosa de funcionalidade. Verificar todos os consumidores do JS (o script novo só foi adicionado em `produtividade_dashboard.html.twig` nesta PR) e, na ausência do global, registrar erro no console ou manter um fallback. → code_search produtividade-dashboard.js — localizar todos os templates/includes que carregam `produtividade-dashboard.js` e conferir se todos passaram a incluir `adriana-chart-analysis.js` antes dele. → file_read_diff public/js/people-analytics/modules/adriana-chart-analysis.js — confirmar como o módulo expõe o global `window.PeopleAnalytics.AdrianaChartAnalysis` e se a ausência/erro de bind gera algum log para diagnóstico. 2. [medium] O seletor usado para ligar os botões ficou mais restrito e pode não casar com a marcação real, deixando a análise sem clique. O código antigo fazia bind em qualquer `[data-analysis]`; o novo bind exige um elemento `[data-analysis]` dentro de `.pa-prod-dash` e com a classe `.pa-prod-analysis`. Se os botões/cartões renderizados pelo template não tiverem exatamente esse contexto (por exemplo, `data-analysis` no botão dentro de `.pa-prod-card`, ou classe `pa-prod-analysis` no painel e não no botão), nenhum clique dispara a análise mesmo com o módulo carregado. Conferir o HTML do template e o mecanismo interno do bind (delegação em `document` versus listeners diretos). → code_search data-analysis — procurar no template e no JS os elementos com `data-analysis` e as classes `pa-prod-*` para validar o seletor `.pa-prod-dash .pa-prod-analysis[data-analysis]`. → file_read_diff public/js/people-analytics/modules/adriana-chart-analysis.js — ver como o `bind` usa o `selector` (delegação ou query direta) e se há validação quando nenhum nó é encontrado. 3. [medium] O contrato com o endpoint de IA pode ter mudado na migração e reintroduzir o bug de "dados vazios" que esta PR quer corrigir. O `requestAnalysis` removido montava o corpo `{filters: currentFilters || {}, question}` para `/chart/{id}/ai-analysis` e esperava `{success, ai_analysis}`; agora os filtros vêm de `getFilters()` e passam pelo módulo compartilhado (novo), que pode transformar ou omitir campos — enquanto o backend desta mesma PR foi alterado em `PeopleAnalyticsApiController` e no `ChartFilterNormalizer`. É preciso garantir que o payload enviado pelo módulo compartilhado continue sendo o que o backend aceita, inclusive para `member_id`/`membro` e para dashboards sem período explícito; senão a correção não cobre o dashboard de produtividade. → file_read_diff public/js/people-analytics/modules/adriana-chart-analysis.js — conferir montagem do body da requisição, headers (inclusive `X-Requested-With`), tratamento de sucesso/erro e formato de resposta esperado. → file_read_diff src/Controller/PeopleAnalyticsApiController.php — confirmar que o endpoint chamado pelo módulo compartilhado ainda aceita o mesmo corpo e devolve `ai_analysis` no mesmo formato. → file_read_diff src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php src/Service/PeopleAnalytics/MemberAnalysisService.php — verificar se `member_id`/variações e filtros de data continuam sendo normalizados para o payload que o dashboard envia via `getFilters()`. 4. [medium] Se o bind do módulo compartilhado for executado mais de uma vez, cada chamada pode registrar novos listeners e duplicar requisições de IA a cada clique. O `bindUiActions` tende a rodar de novo em re-renderizações de filtros/paginação; o módulo novo precisa ser idempotente (listener delegado único ou guard interno). Se não for, um clique dispara N chamadas simultâneas ao endpoint, gerando custo de IA, lentidão e respostas duplicadas no painel. Vale confirmar o ciclo de vida do bind no módulo compartilhado e os pontos de chamada do `bindUiActions`. → file_read_diff public/js/people-analytics/modules/adriana-chart-analysis.js — ver se o `bind()` usa listener delegado único com flag de inicialização ou anexa um listener por chamada. → code_search bindUiActions — mapear as invocações do `bindUiActions` no arquivo (init, refresh de filtros, paginação) para saber se o bind pode rodar múltiplas vezes. 5. [low] Sobraram funções sem uso após a remoção do fluxo de análise embutido. `getAnalysisPanel` permanece no arquivo, mas era usada apenas pelo `renderAnalysisResult` removido; o mesmo pode valer para `notify`, `escapeHtml` e `API_BASE` se não forem mais referenciados por outros trechos (ex.: heatmap). Isso é código morto num arquivo já extenso e dificulta a leitura. Remover as sobras e rodar uma busca por referências antes de fechar. → code_search getAnalysisPanel|notify|escapeHtml|API_BASE — com regex, listar as ocorrências restantes no arquivo para confirmar quais funções ficaram órfãs após a remoção.

main_task

Request #1 deepseek-v4-flash P:9.77K C:337 CR:2.69K CW:0 2331ms
Reasoning
Let me start by reviewing the files in the review group. I need to look at the actual code changes. Let me read the modified files and related context. Files to review: 1. `public/js/people-analytics/modules/produtividade-dashboard.js` 2. `templates/people_analytics/produtividade_dashboard.html.twig` I should check: - The new shared module `adriana-chart-analysis.js` (referenced in other changed files) to understand the contract. - Search for consumers of `produtividade-dashboard.js`. - Search for `data-analysis` markup. - Check `bindUiActions` invocation points. - Check orphaned functions like `getAnalysisPanel`, `notify`, `escapeHtml`, `API_BASE`. Let me start gathering context with parallel tool calls.
Tool Calls (3)
file_read_diff
Show Details
{"path_array": ["public/js/people-analytics/modules/adriana-chart-analysis.js"]}
==== FILE: public/js/people-analytics/modules/adriana-chart-analysis.js ====
diff --git a/public/js/people-analytics/modules/adriana-chart-analysis.js b/public/js/people-analytics/modules/adriana-chart-analysis.js
new file mode 100644
--- /dev/null
+++ b/public/js/people-analytics/modules/adriana-chart-analysis.js
@@ -0,0 +1,180 @@
+/**
+ * Shared Adriana chart analysis helper for People Analytics dashboards.
+ * Keeps request, loading state and result rendering consistent across modules.
+ */
+(function ($) {
+  'use strict';
+
+  window.PeopleAnalytics = window.PeopleAnalytics || {};
+
+  const DEFAULT_SELECTOR = '.pa-prod-analysis[data-analysis]';
+  const DEFAULT_QUESTION = 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.';
+
+  function escapeHtml(value) {
+    const div = document.createElement('div');
+    div.textContent = value == null ? '' : String(value);
+    return div.innerHTML;
+  }
+
+  function renderList(title, items) {
+    const cleanItems = Array.isArray(items) ? items.filter(Boolean) : [];
+    if (cleanItems.length === 0) return '';
+
+    return `
+      <div class="pa-prod-analysis-panel__section">
+        <strong>${escapeHtml(title)}</strong>
+        <ul>
+          ${cleanItems.map((item) => `<li>${escapeHtml(item)}</li>`).join('')}
+        </ul>
+      </div>`;
+  }
+
+  function getOrCreatePanel(button, key) {
+    const card = button && button.closest('.pa-prod-card');
+    if (!card) return null;
+
+    let panel = card.querySelector(`[data-analysis-panel="${key}"]`);
+    if (!panel) {
+      panel = document.createElement('div');
+      panel.className = 'pa-prod-analysis-panel';
+      panel.setAttribute('data-analysis-panel', key);
+      card.appendChild(panel);
+    }
+
+    return panel;
+  }
+
+  function setButtonLoading(button, isLoading, loadingText) {
+    if (!button) return;
+
+    if (typeof window.setButtonLoading === 'function') {
+      window.setButtonLoading(button, isLoading, loadingText || 'Gerando...');
+      return;
+    }
+
+    button.disabled = isLoading;
+    button.classList.toggle('is-loading', isLoading);
+
+    const label = button.querySelector('.pa-prod-analysis__label') || button.querySelector('span');
+    if (!label) return;
+
+    if (!button.dataset.originalAnalysisLabel) {
+      button.dataset.originalAnalysisLabel = label.textContent;
+    }
+
+    label.textContent = isLoading ? (loadingText || 'Gerando...') : button.dataset.originalAnalysisLabel;
+  }
+
+  function renderAnalysis(panel, analysis) {
+    if (!panel) return;
+
+    panel.innerHTML = `
+      <div class="pa-prod-analysis-panel__header">
+        <img src="/images/ia_images/adriana.png" alt="Adriana" class="pa-prod-analysis-panel__avatar">
+        <div>
+          <span class="pa-prod-analysis-panel__eyebrow">Análise da Adriana</span>
+          <h4>${escapeHtml(analysis.title || 'Análise do gráfico')}</h4>
+        </div>
+      </div>
+      ${analysis.summary ? `<p class="pa-prod-analysis-panel__summary">${escapeHtml(analysis.summary)}</p>` : ''}
+      ${renderList('Principais insights', analysis.key_insights)}
+      ${renderList('Projeções', analysis.projections)}
+      ${renderList('Pontos de atenção', analysis.attention_points)}
+      ${renderList('Ações recomendadas', analysis.recommended_actions)}
+      ${renderList('Limitações', analysis.limitations)}
+    `;
+  }
+
+  function renderError(panel, message) {
+    if (!panel) return;
+
+    panel.innerHTML = `
+      <div class="alert alert-warning mb-0">
+        <strong>Não foi possível gerar a análise.</strong><br>
+        ${escapeHtml(message || 'Tente novamente em alguns instantes.')}
+      </div>
+    `;
+  }
+
+  function requestAnalysis(options, chartId) {
+    const module = options.module;
+    const filters = typeof options.getFilters === 'function' ? options.getFilters() : {};
+    const question = typeof options.getQuestion === 'function'
+      ? options.getQuestion(chartId)
+      : (options.question || DEFAULT_QUESTION);
+
+    return new Promise((resolve, reject) => {
+      $.ajax({
+        url: `/people-analytics/api/${encodeURIComponent(module)}/chart/${encodeURIComponent(chartId)}/ai-analysis`,
+        method: 'POST',
+        dataType: 'json',
+        contentType: 'application/json',
+        headers: {
+          'X-Requested-With': 'XMLHttpRequest',
+        },
+        data: JSON.stringify({
+          filters: filters || {},
+          question: question,
+        }),
+      })
+        .done((json) => {
+          if (!json || json.success !== true) {
+            reject(new Error((json && (json.error || json.message)) || 'Resposta inválida do servidor'));
+            return;
+          }
+
+          resolve(json.ai_analysis || {});
+        })
+        .fail((jqXHR) => {
+          const response = jqXHR.responseJSON || {};
+          reject(new Error(response.error || response.message || ('HTTP ' + jqXHR.status)));
+        });
+      });
+  }
+
+  function bind(options) {
+    const config = options || {};
+    const chartMap = config.chartMap || {};
+    const selector = config.selector || DEFAULT_SELECTOR;
+
+    if (!config.module) {
+      console.warn('[AdrianaAnalysis] module não informado.');
+      return;
+    }
+
+    $(selector).each(function () {
+      const button = this;
+      if (button.dataset.adrianaAnalysisBound === '1') return;
+      button.dataset.adrianaAnalysisBound = '1';
+
+      $(button).on('click', function (event) {
+        event.preventDefault();
+
+        const key = button.getAttribute('data-analysis');
+        const chartId = chartMap[key];
+        const panel = getOrCreatePanel(button, key);
+
+        if (!chartId) {
+          renderError(panel, 'Este botão ainda não possui um gráfico vinculado para análise.');
+          return;
+        }
+
+        setButtonLoading(button, true, config.loadingText || 'Gerando...');
+
+        requestAnalysis(config, chartId)
+          .then((analysis) => renderAnalysis(panel, analysis))
+          .catch((error) => {
+            console.error('[AdrianaAnalysis] análise falhou:', error);
+            renderError(panel, error.message);
+          })
+          .finally(() => setButtonLoading(button, false));
+      });
+    });
+  }
+
+  window.PeopleAnalytics.AdrianaChartAnalysis = {
+    bind: bind,
+    request: requestAnalysis,
+    renderAnalysis: renderAnalysis,
+  };
+})(jQuery);
code_search
Show Details
{"search_text": "produtividade-dashboard.js"}
File: docs/engineering/pr/new_staging2/PR_arquivos_new_staging2.txt
Match lines: 1
1084|A	public/js/people-analytics/modules/produtividade-dashboard.js

File: docs/engineering/pr/new_staging2/PR_impacto_new_staging2.txt
Match lines: 1
1084| .../modules/produtividade-dashboard.js             | 1380 +++++

File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 1
358|	<script src="{{ asset('js/people-analytics/modules/produtividade-dashboard.js') }}?v={{ 'now'|date('YmdHis') }}"></script>

File: tests/Unit/Product/PeopleAnalyticsDashboardFilesTest.php
Match lines: 1
196|                'public/js/people-analytics/modules/produtividade-dashboard.js',

code_search
Show Details
{"search_text": "data-analysis", "file_patterns": ["templates/people_analytics/produtividade_dashboard.html.twig"]}
File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 4
157|				<button type="button" class="pa-prod-analysis" data-analysis="produtividade-tempo">
195|					<button type="button" class="pa-prod-analysis" data-analysis="entregas-projeto">
231|					<button type="button" class="pa-prod-analysis" data-analysis="entregas-equipe">
321|					<button type="button" class="pa-prod-analysis" data-analysis="prod-vs-ausencias">

Request #2 deepseek-v4-flash P:12.18K C:276 CR:9.98K CW:0 2187ms
Reasoning
Let me look at the actual produtividade_dashboard.html.twig structure around the data-analysis buttons to check the selector `.pa-prod-dash .pa-prod-analysis[data-analysis]`. Also check the JS file's context, `ANALYSIS_CHART_ID`, `currentFilters`, and `bindUiActions` invocations. Also need to see if the script new module is loaded before produtividade-dashboard.js. Let me read the template around lines 140-330 and 350-360.
Tool Calls (2)
file_read
Show Details
{"file_path": "templates/people_analytics/produtividade_dashboard.html.twig", "start_line": 130, "end_line": 330}
File: templates/people_analytics/produtividade_dashboard.html.twig (Total lines: 371)
IS_TRUNCATED: false
LINE_RANGE: 130-330
130|				<div class="pa-prod-kpi__title pa-prod-kpi__title--exec">
131|					Leitura executiva
132|					<i class="fas fa-wand-magic-sparkles pa-prod-kpi__title-icon" aria-hidden="true"></i>
133|				</div>
134|				<p class="pa-prod-kpi__exec-text">
135|					A leitura executiva consolida os indicadores do período selecionado para apoiar a decisão da liderança.
136|					Acompanhe os cards acima e os gráficos abaixo para um panorama detalhado da operação.
137|				</p>
138|			</div>
139|		</div>
140|
141|		{# ---------- Gráfico principal: Produtividade ao Longo do Tempo ---------- #}
142|		<div class="pa-prod-card pa-prod-card--chart">
143|			<div class="pa-prod-card__head">
144|				<div class="pa-prod-card__title">
145|					Produtividade ao Longo do Tempo
146|					<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Linha de produtividade observada ao longo do período"></i>
147|				</div>
148|				<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="chart-produtividade-tempo">
149|					<i class="fas fa-download"></i>
150|					<span>Exportar Gráfico</span>
151|				</button>
152|			</div>
153|			<div class="pa-prod-card__body">
154|				<div id="chart-produtividade-tempo" class="pa-prod-chart"></div>
155|			</div>
156|			<div class="pa-prod-card__foot">
157|				<button type="button" class="pa-prod-analysis" data-analysis="produtividade-tempo">
158|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
159|					<span class="pa-prod-analysis__label">Gerar Análise</span>
160|				</button>
161|				<div class="pa-prod-card__legend">
162|					<span class="pa-prod-legend-dot pa-prod-legend-dot--teal"></span>
163|					<span>Observado</span>
164|				</div>
165|			</div>
166|		</div>
167|
168|		{# ============================================================
169|		   SEÇÃO: DISTRIBUIÇÃO DE ENTREGAS
170|		   ============================================================ #}
171|		<div class="pa-prod-section">
172|			<h2 class="pa-prod-section__title">Distribuição de Entregas</h2>
173|			<p class="pa-prod-section__desc">
174|				Volume de saída por projeto e por equipe. Base para leitura de carga operacional e equilíbrio entre frentes.
175|			</p>
176|		</div>
177|
178|		<div class="pa-prod-grid pa-prod-grid--cols-2">
179|			{# Volume de Entregas por Projeto #}
180|			<div class="pa-prod-card pa-prod-card--chart">
181|				<div class="pa-prod-card__head">
182|					<div class="pa-prod-card__title">
183|						Volume de Entregas por Projeto
184|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Volume de entregas concluídas por projeto"></i>
185|					</div>
186|					<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="chart-entregas-projeto">
187|						<i class="fas fa-download"></i>
188|						<span>Exportar Gráfico</span>
189|					</button>
190|				</div>
191|				<div class="pa-prod-card__body">
192|					<div id="chart-entregas-projeto" class="pa-prod-chart pa-prod-chart--bars"></div>
193|				</div>
194|				<div class="pa-prod-card__foot">
195|					<button type="button" class="pa-prod-analysis" data-analysis="entregas-projeto">
196|						<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
197|						<span class="pa-prod-analysis__label">Gerar Análise</span>
198|					</button>
199|					<div class="pa-prod-pager" data-pager="entregas-projeto">
200|						<span class="pa-prod-pager__label">…</span>
201|						<button type="button" class="pa-prod-pager__btn" data-pager-action="prev" aria-label="Anterior">
202|							<i class="fas fa-chevron-left"></i>
203|						</button>
204|						<button type="button" class="pa-prod-pager__btn" data-pager-action="next" aria-label="Próximo">
205|							<i class="fas fa-chevron-right"></i>
206|						</button>
207|					</div>
208|					<div class="pa-prod-card__legend pa-prod-card__legend--trend">
209|						<i class="fas fa-chart-column"></i>
210|						<span>Total de entregas por projeto</span>
211|					</div>
212|				</div>
213|			</div>
214|
215|			{# Entregas por Equipe #}
216|			<div class="pa-prod-card pa-prod-card--chart">
217|				<div class="pa-prod-card__head">
218|					<div class="pa-prod-card__title">
219|						Entregas por Equipe
220|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Entregas concluídas e pendentes por equipe"></i>
221|					</div>
222|					<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="chart-entregas-equipe">
223|						<i class="fas fa-download"></i>
224|						<span>Exportar Gráfico</span>
225|					</button>
226|				</div>
227|				<div class="pa-prod-card__body">
228|					<div id="chart-entregas-equipe" class="pa-prod-chart pa-prod-chart--bars"></div>
229|				</div>
230|				<div class="pa-prod-card__foot">
231|					<button type="button" class="pa-prod-analysis" data-analysis="entregas-equipe">
232|						<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
233|						<span class="pa-prod-analysis__label">Gerar Análise</span>
234|					</button>
235|					<div class="pa-prod-pager" data-pager="entregas-equipe">
236|						<span class="pa-prod-pager__label">…</span>
237|						<button type="button" class="pa-prod-pager__btn" data-pager-action="prev" aria-label="Anterior">
238|							<i class="fas fa-chevron-left"></i>
239|						</button>
240|						<button type="button" class="pa-prod-pager__btn" data-pager-action="next" aria-label="Próximo">
241|							<i class="fas fa-chevron-right"></i>
242|						</button>
243|					</div>
244|				</div>
245|			</div>
246|		</div>
247|
248|		{# ============================================================
249|		   SEÇÃO: DINÂMICA DA PRODUTIVIDADE
250|		   ============================================================ #}
251|		<div class="pa-prod-section">
252|			<h2 class="pa-prod-section__title">Dinâmica da Produtividade</h2>
253|			<p class="pa-prod-section__desc">
254|				Padrões de produtividade ao longo dos dias e horas, e impacto direto das ausências sobre o ritmo da operação.
255|			</p>
256|		</div>
257|
258|		<div class="pa-prod-grid pa-prod-grid--cols-2">
259|			{# Heatmap #}
260|			<div class="pa-prod-card pa-prod-card--chart">
261|				<div class="pa-prod-card__head">
262|					<div class="pa-prod-card__title">
263|						<i class="fas fa-table-cells pa-prod-card__title-prefix"></i>
264|						Heatmap de Produtividade (Dia x Hora)
265|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Concentração de produtividade por dia da semana e hora"></i>
266|					</div>
267|					<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="chart-heatmap">
268|						<i class="fas fa-download"></i>
269|						<span>Exportar Gráfico</span>
270|					</button>
271|				</div>
272|				<div class="pa-prod-card__body">
273|					<div id="chart-heatmap" class="pa-prod-chart pa-prod-chart--heatmap"></div>
274|					<div class="pa-prod-heatmap-legend">
275|						<span class="pa-prod-heatmap-legend__label">Baixa Produtividade</span>
276|						<span class="pa-prod-heatmap-legend__scale">
277|							<span class="pa-prod-heatmap-legend__cell" style="background:#e3f1f4"></span>
278|							<span class="pa-prod-heatmap-legend__cell" style="background:#bfe1e7"></span>
279|							<span class="pa-prod-heatmap-legend__cell" style="background:#8fcad3"></span>
280|							<span class="pa-prod-heatmap-legend__cell" style="background:#54a3af"></span>
281|							<span class="pa-prod-heatmap-legend__cell" style="background:#2b7d8a"></span>
282|							<span class="pa-prod-heatmap-legend__cell" style="background:#155a66"></span>
283|						</span>
284|						<span class="pa-prod-heatmap-legend__label">Alta Produtividade</span>
285|					</div>
286|				</div>
287|				<div class="pa-prod-insight" data-heatmap-insight hidden>
288|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-insight__avatar">
289|					<div class="pa-prod-insight__body">
290|						<div class="pa-prod-insight__title">
291|							Insight da {{ userName|split(' ')|first }}
292|							<i class="fas fa-wand-magic-sparkles pa-prod-insight__title-icon" aria-hidden="true"></i>
293|						</div>
294|						<p class="pa-prod-insight__text" data-heatmap-insight-text></p>
295|					</div>
296|				</div>
297|				<div class="pa-prod-card__foot pa-prod-card__foot--tiny">
298|					<span class="pa-prod-card__meta">
299|						<i class="fas fa-circle-info"></i>
300|						Produtividade média por dia da semana e hora.
301|					</span>
302|				</div>
303|			</div>
304|
305|			{# Produtividade vs Ausências #}
306|			<div class="pa-prod-card pa-prod-card--chart">
307|				<div class="pa-prod-card__head">
308|					<div class="pa-prod-card__title">
309|						Produtividade vs Ausências
310|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Comparativo diário entre produtividade e ausências"></i>
311|					</div>
312|					<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="chart-prod-vs-ausencias">
313|						<i class="fas fa-download"></i>
314|						<span>Exportar Gráfico</span>
315|					</button>
316|				</div>
317|				<div class="pa-prod-card__body">
318|					<div id="chart-prod-vs-ausencias" class="pa-prod-chart"></div>
319|				</div>
320|				<div class="pa-prod-card__foot">
321|					<button type="button" class="pa-prod-analysis" data-analysis="prod-vs-ausencias">
322|						<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
323|						<span class="pa-prod-analysis__label">Gerar Análise</span>
324|					</button>
325|					<div class="pa-prod-card__legend pa-prod-card__legend--multi">
326|						<span class="pa-prod-legend-item">
327|							<span class="pa-prod-legend-dot pa-prod-legend-dot--teal"></span>
328|							Produtividade
329|						</span>
330|						<span class="pa-prod-legend-item">
code_search
Show Details
{"search_text": "bindUiActions|ANALYSIS_CHART_ID|currentFilters", "file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"]}
No matches found
Request #3 deepseek-v4-flash P:15.77K C:327 CR:12.42K CW:0 2628ms
Reasoning
The code_search for `bindUiActions|ANALYSIS_CHART_ID|currentFilters` in the produtividade-dashboard.js file returned no matches. Interesting. That might be because the search with `|` requires perl regex? Actually the tool says "Treats search_text as a Perl-compatible regular expression pattern if true". So plain text search doesn't use regex. I passed `|` but not perl_regexp. Let me search individually. Let me search for bindUiActions within produtividade-dashboard.js file.
Tool Calls (3)
code_search
Show Details
{"search_text": "bindUiActions", "file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"]}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 2
1197|  function bindUiActions() {
1314|    bindUiActions();

code_search
Show Details
{"search_text": "ANALYSIS_CHART_ID", "file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"]}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 3
77|  const ANALYSIS_CHART_ID = {
1201|        chartMap: ANALYSIS_CHART_ID,
1281|    Object.keys(ANALYSIS_CHART_ID).forEach((key) => setAnalysisVisible(key, false));

code_search
Show Details
{"search_text": "currentFilters", "file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"]}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 11
68|  let currentFilters = {};
1204|          return currentFilters || {};
1225|      currentFilters = Object.assign({}, currentFilters);
1226|      if (value) currentFilters.periodo = value;
1227|      else delete currentFilters.periodo;
1228|      reloadAll(currentFilters);
1236|      currentFilters = Object.assign({}, currentFilters, filters);
1237|      reloadAll(currentFilters);
1245|    const f = filters || currentFilters || {};
1312|    if (select && select.value) currentFilters.periodo = select.value;
1317|    reloadAll(currentFilters);

Request #4 deepseek-v4-flash P:16.4K C:328 CR:16K CW:0 2077ms
Reasoning
Now let me look at the JS file around the areas of interest: lines 60-130 (constants), 1100-1200 (init / area before events), and 1190-1320. Let me read the file to check that `notify`, `escapeHtml`, `getAnalysisPanel`, and `API_BASE` are used elsewhere.
Tool Calls (3)
file_read
Show Details
{"file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 1, "end_line": 140}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 1-140
1|/**
2| * People Analytics – Produtividade Dashboard
3| *
4| * Integração 100% com o back-end existente em:
5| *   /people-analytics/api/produtividade/*
6| *
7| * Fonte principal:
8| *   GET /people-analytics/api/produtividade/dashboard-data
9| *
10| * As rotas específicas continuam como fallback/compatibilidade.
11| *
12| * Sem dados mockados. Todo widget tem loading / empty / error.
13| *
14| * Versão: integrada-com-back (2026-05-25)
15| */
16|(function () {
17|  'use strict';
18|
19|  // Sinaliza no console que esta é a versão integrada com o back-end
20|  console.info('[Produtividade] dashboard carregado – integração real com o back (sem mocks).');
21|
22|  window.PeopleAnalytics = window.PeopleAnalytics || {};
23|
24|  // =====================================================================
25|  // CONFIG GERAL
26|  // =====================================================================
27|  const API_BASE = '/people-analytics/api/produtividade';
28|
29|  function resolveBrandColors() {
30|    const root = document.documentElement;
31|    const css = (name) => getComputedStyle(root).getPropertyValue(name).trim();
32|    return {
33|      teal:     css('--app-brand-primary-emphasis') || '#006B78',
34|      tealLine: css('--app-brand-primary') || '#2EA8B5',
35|      tealSoft: css('--company-theme1-100') || '#DDF1F4',
36|      orange:   '#F59E0B',
37|      red:      '#EF4444',
38|      green:    '#117a40',
39|      gray:     '#8a8f99',
40|      grayLine: '#D9E1E5',
41|      text:     '#1F2933',
42|      text2:    '#6B7280',
43|    };
44|  }
45|
46|  const COLORS = resolveBrandColors();
47|
48|  // Mapeamento entre o título do KPI (vindo do back) e o slot visual (card)
49|  // no template (data-kpi-key). A ordem fixa do back é:
50|  //   0 Produtividade do Período
51|  //   1 Produtividade da Empresa
52|  //   2 Entregas
53|  //   3 Horas Trabalhadas
54|  //   4 Ausências
55|  //   5 Engajamento
56|  const KPI_TITLE_TO_KEY = {
57|    'Produtividade do Período':  'goal-progress',
58|    'Produtividade da Empresa':  'company-productivity',
59|    'Entregas':                  'deliveries',
60|    'Entregas Concluídas':       'deliveries',
61|    'Horas Trabalhadas':         'worked-hours',
62|    'Ausências':                 'absences',
63|    'Taxa de Ausências':         'absences',
64|    'Engajamento':               'engagement',
65|    'Engajamento Operacional':   'engagement',
66|  };
67|
68|  let currentFilters = {};
69|  const chartRegistry = new Map();
70|  let dashboardDataCache = null;
71|  let dashboardDataCacheKey = null;
72|  const pagerState = {
73|    'entregas-projeto': { page: 0, pageSize: 5, total: 0, payload: null },
74|    'entregas-equipe': { page: 0, pageSize: 5, total: 0, payload: null },
75|  };
76|
77|  const ANALYSIS_CHART_ID = {
78|    'produtividade-tempo': 'chart-produtividade-tempo',
79|    'entregas-projeto': 'chart-volume-entregas',
80|    'entregas-equipe': 'chart-entregas-equipe',
81|    'prod-vs-ausencias': 'chart-prod-vs-ausencias-tempo',
82|  };
83|
84|  // =====================================================================
85|  // HELPERS - HTTP
86|  // =====================================================================
87|  function buildQuery(filters) {
88|    const params = new URLSearchParams();
89|    Object.keys(filters || {}).forEach((key) => {
90|      const raw = filters[key];
91|      if (raw == null || raw === '') return;
92|      const values = Array.isArray(raw) ? raw : [raw];
93|      const clean = values.filter((v) => v !== '' && v != null);
94|      if (clean.length === 0) return;
95|      params.append(key, clean.join(','));
96|    });
97|    const qs = params.toString();
98|    return qs ? '?' + qs : '';
99|  }
100|
101|  function fetchEndpoint(endpoint, filters) {
102|    const cacheKey = buildQuery(filters);
103|    const cachedData = getCachedDashboardSlice(endpoint, cacheKey);
104|    if (cachedData !== undefined) {
105|      return Promise.resolve(cachedData);
106|    }
107|
108|    const url = API_BASE + endpoint + buildQuery(filters);
109|    return fetch(url, {
110|      method: 'GET',
111|      credentials: 'same-origin',
112|      headers: {
113|        'Accept': 'application/json',
114|        'X-Requested-With': 'XMLHttpRequest',
115|      },
116|    })
117|      .then((res) => {
118|        if (!res.ok) {
119|          const err = new Error('HTTP ' + res.status);
120|          err.status = res.status;
121|          throw err;
122|        }
123|        return res.json();
124|      })
125|      .then((json) => {
126|        if (!json || json.success !== true) {
127|          throw new Error((json && json.error) || 'Resposta inválida do servidor');
128|        }
129|        return json.data;
130|      });
131|  }
132|
133|  function getCachedDashboardSlice(endpoint, cacheKey) {
134|    if (!dashboardDataCache || dashboardDataCacheKey !== cacheKey || endpoint === '/dashboard-data') {
135|      return undefined;
136|    }
137|
138|    const charts = dashboardDataCache.charts || {};
139|    switch (endpoint) {
140|      case '/kpis':
code_search
Show Details
{"search_text": "escapeHtml", "file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"]}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 1
163|  function escapeHtml(value) {

code_search
Show Details
{"search_text": "getAnalysisPanel|notify|API_BASE", "use_perl_regexp": true, "file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"]}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 5
27|  const API_BASE = '/people-analytics/api/produtividade';
108|    const url = API_BASE + endpoint + buildQuery(filters);
275|      const panel = getAnalysisPanel(key, false);
280|  function getAnalysisPanel(key, createIfMissing) {
1294|  function notify(msg) {

Request #5 deepseek-v4-flash P:18.45K C:523 CR:16.64K CW:0 3893ms
Reasoning
Let me look at the JS file around lines 150-180 (escapeHtml), 260-360 (getAnalysisPanel usage), 1180-1322 (init region) to check orphaned functions. From the search: - `escapeHtml` defined at line 163, but search only found definition at 163 (one match). So `escapeHtml` is no longer used anywhere else (previously used by renderAnalysisList and renderAnalysisResult, both removed). Wait, maybe heatmap insight uses it? Search found only one match, at line 163 (the definition). So escapeHtml is dead code now? Let me verify - search only returned one match line for escapeHtml - the definition. Let me double check with regex of usage like `escapeHtml(`. Actually the search results show only "163| function escapeHtml(value)". Hmm but this could be limited to 100 matches and the function is called. Actually code_search returns all matches lines; the result shows just one. That means escapeHtml isn't called anywhere else in this file. But wait, removed renderAnalysisResult/renderAnalysisList used escapeHtml; they've been removed in this diff. So escapeHtml might now be dead. But careful: getAnalysisPanel at line 275 is used by `setAnalysisVisible` perhaps. Line 275: `const panel = getAnalysisPanel(key, false);` - let me read around 260-360. - notify defined at line 1294, need to check references. - API_BASE used at line 108 (still used). - getAnalysisPanel used at 275 and 280. Let me read lines 250-360 and 1180-1322.
Tool Calls (2)
file_read
Show Details
{"end_line": 360, "file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 155}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 155-360
155|  }
156|
157|  // Verifica se um array é "efetivamente vazio" (vazio, todo zero ou todo null)
158|  function isEffectivelyEmpty(arr) {
159|    if (!Array.isArray(arr) || arr.length === 0) return true;
160|    return arr.every((v) => v == null || v === 0 || v === '0' || v === '');
161|  }
162|
163|  function escapeHtml(value) {
164|    const div = document.createElement('div');
165|    div.textContent = value == null ? '' : String(value);
166|    return div.innerHTML;
167|  }
168|
169|  // =====================================================================
170|  // HELPERS - FORMATAÇÃO
171|  // =====================================================================
172|  function formatNumberBR(value) {
173|    if (value == null || value === '') return '—';
174|    const n = Number(value);
175|    if (Number.isNaN(n)) return String(value);
176|    return n.toLocaleString('pt-BR');
177|  }
178|
179|  function normalizePercent(value) {
180|    if (value == null || value === '') return '—';
181|    const str = String(value).trim();
182|    // Substitui ponto por vírgula em números com casas decimais
183|    return str.replace(/\.(\d)/, ',$1');
184|  }
185|
186|  // Formata o valor de KPI vindo do back (ex: "85.3%", "12540h", "1248", "86 dias")
187|  //  - Mantém o sufixo original (%, h, "dias", etc.)
188|  //  - Converte casas decimais com ponto para vírgula
189|  //  - Aplica separador de milhar BR (.) na parte inteira
190|  function formatKpiValue(value) {
191|    if (value == null || value === '') return '—';
192|    const str = String(value).trim();
193|    const match = str.match(/^(-?\d+)(?:[.,](\d+))?(.*)$/);
194|    if (!match) return str;
195|    const intRaw  = match[1];
196|    const decRaw  = match[2];
197|    const suffix  = (match[3] || '').trim();
198|    const intBR   = Number(intRaw).toLocaleString('pt-BR');
199|    const number  = decRaw ? `${intBR},${decRaw}` : intBR;
200|    return suffix ? `${number}${/^[%]/.test(suffix) ? '' : ' '}${suffix}` : number;
201|  }
202|
203|  function trendIconClass(trendType) {
204|    switch ((trendType || '').toLowerCase()) {
205|      case 'positive': return 'fas fa-arrow-trend-up';
206|      case 'negative': return 'fas fa-arrow-trend-down';
207|      default:         return 'fas fa-arrows-left-right';
208|    }
209|  }
210|
211|  function trendDeltaClass(trendType) {
212|    switch ((trendType || '').toLowerCase()) {
213|      case 'positive': return 'pa-prod-kpi__delta--up';
214|      case 'negative': return 'pa-prod-kpi__delta--down';
215|      default:         return 'pa-prod-kpi__delta--neutral';
216|    }
217|  }
218|
219|  // =====================================================================
220|  // HELPERS - ESTADO DOS WIDGETS (loading / empty / error)
221|  // =====================================================================
222|  function ensureOverlay(el) {
223|    if (!el) return null;
224|    el.classList.add('pa-prod-chart--has-overlay');
225|    let overlay = el.querySelector(':scope > .pa-prod-chart__overlay');
226|    if (!overlay) {
227|      overlay = document.createElement('div');
228|      overlay.className = 'pa-prod-chart__overlay';
229|      el.appendChild(overlay);
230|    }
231|    return overlay;
232|  }
233|
234|  function setLoading(el) {
235|    const overlay = ensureOverlay(el);
236|    if (!overlay) return;
237|    overlay.className = 'pa-prod-chart__overlay pa-prod-chart__overlay--loading';
238|    overlay.innerHTML = '<div class="pa-prod-spinner" aria-label="Carregando"></div>';
239|    overlay.style.display = 'flex';
240|  }
241|
242|  function setEmpty(el, message) {
243|    const overlay = ensureOverlay(el);
244|    if (!overlay) return;
245|    overlay.className = 'pa-prod-chart__overlay pa-prod-chart__overlay--empty';
246|    overlay.innerHTML = `
247|      <i class="fas fa-chart-simple pa-prod-state__icon" aria-hidden="true"></i>
248|      <p class="pa-prod-state__msg">${message || 'Sem dados para o período selecionado.'}</p>`;
249|    overlay.style.display = 'flex';
250|  }
251|
252|  function setError(el, message) {
253|    const overlay = ensureOverlay(el);
254|    if (!overlay) return;
255|    overlay.className = 'pa-prod-chart__overlay pa-prod-chart__overlay--error';
256|    overlay.innerHTML = `
257|      <i class="fas fa-triangle-exclamation pa-prod-state__icon" aria-hidden="true"></i>
258|      <p class="pa-prod-state__msg">${message || 'Não foi possível carregar os dados.'}</p>`;
259|    overlay.style.display = 'flex';
260|  }
261|
262|  function clearOverlay(el) {
263|    if (!el) return;
264|    const overlay = el.querySelector(':scope > .pa-prod-chart__overlay');
265|    if (overlay) overlay.style.display = 'none';
266|  }
267|
268|  function setAnalysisVisible(key, visible) {
269|    const btn = document.querySelector(`[data-analysis="${key}"]`);
270|    if (!btn) return;
271|    btn.hidden = !visible;
272|    btn.disabled = !visible;
273|
274|    if (!visible) {
275|      const panel = getAnalysisPanel(key, false);
276|      if (panel) panel.remove();
277|    }
278|  }
279|
280|  function getAnalysisPanel(key, createIfMissing) {
281|    const btn = document.querySelector(`[data-analysis="${key}"]`);
282|    const card = btn && btn.closest('.pa-prod-card');
283|    if (!card) return null;
284|
285|    let panel = card.querySelector(`[data-analysis-panel="${key}"]`);
286|    if (!panel && createIfMissing) {
287|      panel = document.createElement('div');
288|      panel.className = 'pa-prod-analysis-panel';
289|      panel.setAttribute('data-analysis-panel', key);
290|      card.appendChild(panel);
291|    }
292|    return panel;
293|  }
294|
295|  function setHeatmapInsightVisible(visible, text) {
296|    const insight = document.querySelector('[data-heatmap-insight]');
297|    if (!insight) return;
298|
299|    insight.hidden = !visible;
300|    const textEl = insight.querySelector('[data-heatmap-insight-text]');
301|    if (textEl) textEl.textContent = visible ? (text || '') : '';
302|  }
303|
304|  function buildHeatmapInsight(points, days, hours) {
305|    const validPoints = (Array.isArray(points) ? points : [])
306|      .map((point) => ({
307|        hourIndex: Number(point[0]),
308|        dayIndex: Number(point[1]),
309|        value: Number(point[2]),
310|      }))
311|      .filter((point) => Number.isFinite(point.hourIndex) && Number.isFinite(point.dayIndex) && Number.isFinite(point.value));
312|
313|    if (validPoints.length === 0) {
314|      return null;
315|    }
316|
317|    const best = validPoints.reduce((max, point) => point.value > max.value ? point : max, validPoints[0]);
318|    const average = validPoints.reduce((sum, point) => sum + point.value, 0) / validPoints.length;
319|    const highPoints = validPoints.filter((point) => point.value >= 80).length;
320|    const day = days[best.dayIndex] || 'dia com maior concentração';
321|    const hour = hours[best.hourIndex] != null ? String(hours[best.hourIndex]).padStart(2, '0') + 'h' : 'horário de pico';
322|
323|    if (highPoints > 1) {
324|      return `O pico de produtividade ocorre em ${day}, às ${hour}, com ${normalizePercent(best.value)}%. A média dos horários mapeados é de ${normalizePercent(average.toFixed(1))}% e há ${highPoints} faixas com produtividade alta, indicando boas janelas para concentrar atividades críticas.`;
325|    }
326|
327|    return `O melhor ponto do período é ${day}, às ${hour}, com ${normalizePercent(best.value)}%. A média dos horários mapeados é de ${normalizePercent(average.toFixed(1))}%, sugerindo priorizar essa janela para tarefas de maior foco.`;
328|  }
329|
330|  function destroyChart(id) {
331|    const existing = chartRegistry.get(id);
332|    if (existing) {
333|      try { existing.destroy(); } catch (_) { /* noop */ }
334|      chartRegistry.delete(id);
335|    }
336|  }
337|
338|  // =====================================================================
339|  // HIGHCHARTS - CONFIG BASE
340|  // =====================================================================
341|  const baseChart = {
342|    credits: { enabled: false },
343|    exporting: { enabled: false },
344|    chart: {
345|      backgroundColor: 'transparent',
346|      style: { fontFamily: 'Inter, sans-serif' },
347|      spacing: [10, 8, 8, 8],
348|    },
349|    title: { text: null },
350|    legend: { enabled: false },
351|  };
352|
353|  // Tooltip base — isolamento por chart
354|  const baseTooltip = {
355|    useHTML: true,
356|    outside: true,
357|    hideDelay: 50,
358|    snap: 20,
359|    followPointer: false,
360|    padding: 0,
file_read
Show Details
{"end_line": 1322, "file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 1180}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 1180-1322
1180|    if (nextPage === state.page) {
1181|      updatePager(key);
1182|      return;
1183|    }
1184|
1185|    state.page = nextPage;
1186|
1187|    if (key === 'entregas-projeto') {
1188|      renderEntregasProjetoPage();
1189|    } else if (key === 'entregas-equipe') {
1190|      renderEntregasEquipePage();
1191|    }
1192|  }
1193|
1194|  // =====================================================================
1195|  // EVENTOS / FILTROS
1196|  // =====================================================================
1197|  function bindUiActions() {
1198|    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
1199|      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
1200|        module: 'produtividade',
1201|        chartMap: ANALYSIS_CHART_ID,
1202|        selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]',
1203|        getFilters: function () {
1204|          return currentFilters || {};
1205|        },
1206|        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.',
1207|      });
1208|    }
1209|
1210|    document.querySelectorAll('[data-pager-action]').forEach((btn) => {
1211|      btn.addEventListener('click', () => {
1212|        const pager = btn.closest('[data-pager]');
1213|        const key = pager && pager.getAttribute('data-pager');
1214|        const direction = btn.getAttribute('data-pager-action') === 'prev' ? -1 : 1;
1215|        if (key) changePagerPage(key, direction);
1216|      });
1217|    });
1218|  }
1219|
1220|  function bindPeriodSelect() {
1221|    const select = document.getElementById('prodPeriodSelect');
1222|    if (!select) return;
1223|    select.addEventListener('change', () => {
1224|      const value = select.value;
1225|      currentFilters = Object.assign({}, currentFilters);
1226|      if (value) currentFilters.periodo = value;
1227|      else delete currentFilters.periodo;
1228|      reloadAll(currentFilters);
1229|    });
1230|  }
1231|
1232|  // Compatibilidade: se o filtro global do People Analytics disparar, recarrega tudo
1233|  function bindGlobalFilterListener() {
1234|    document.addEventListener('peopleAnalyticsGlobalFilterUpdate', (event) => {
1235|      const filters = (event && event.detail && event.detail.filters) || {};
1236|      currentFilters = Object.assign({}, currentFilters, filters);
1237|      reloadAll(currentFilters);
1238|    });
1239|  }
1240|
1241|  // =====================================================================
1242|  // RELOAD ALL
1243|  // =====================================================================
1244|  function reloadAll(filters) {
1245|    const f = filters || currentFilters || {};
1246|    const cacheKey = buildQuery(f);
1247|
1248|    dashboardDataCache = null;
1249|    dashboardDataCacheKey = null;
1250|    setDashboardLoading();
1251|
1252|    fetchEndpoint('/dashboard-data', f)
1253|      .then((payload) => {
1254|        dashboardDataCache = payload || {};
1255|        dashboardDataCacheKey = cacheKey;
1256|
1257|        loadKpis(f);
1258|        loadProdutividadeTempo(f);
1259|        loadEntregasProjeto(f);
1260|        loadEntregasEquipe(f);
1261|        loadHeatmap(f);
1262|        loadProdVsAusencias(f);
1263|      })
1264|      .catch((err) => {
1265|        console.error('[Produtividade] dashboard-data:', err);
1266|        dashboardDataCache = null;
1267|        dashboardDataCacheKey = null;
1268|
1269|        // Fallback: preserva compatibilidade com os endpoints individuais.
1270|        loadKpis(f);
1271|        loadProdutividadeTempo(f);
1272|        loadEntregasProjeto(f);
1273|        loadEntregasEquipe(f);
1274|        loadHeatmap(f);
1275|        loadProdVsAusencias(f);
1276|      });
1277|  }
1278|
1279|  function setDashboardLoading() {
1280|    setKpiLoading();
1281|    Object.keys(ANALYSIS_CHART_ID).forEach((key) => setAnalysisVisible(key, false));
1282|    [
1283|      'chart-produtividade-tempo',
1284|      'chart-entregas-projeto',
1285|      'chart-entregas-equipe',
1286|      'chart-heatmap',
1287|      'chart-prod-vs-ausencias',
1288|    ].forEach((id) => {
1289|      const el = document.getElementById(id);
1290|      if (el) setLoading(el);
1291|    });
1292|  }
1293|
1294|  function notify(msg) {
1295|    if (window.toastr && typeof window.toastr.info === 'function') {
1296|      window.toastr.info(msg);
1297|    } else {
1298|      console.info('[Produtividade]', msg);
1299|    }
1300|  }
1301|
1302|  // =====================================================================
1303|  // INIT
1304|  // =====================================================================
1305|  function init() {
1306|    if (!window.Highcharts) {
1307|      console.warn('[Produtividade] Highcharts não carregado.');
1308|      return;
1309|    }
1310|    // Período inicial a partir do select (se houver)
1311|    const select = document.getElementById('prodPeriodSelect');
1312|    if (select && select.value) currentFilters.periodo = select.value;
1313|
1314|    bindUiActions();
1315|    bindPeriodSelect();
1316|    bindGlobalFilterListener();
1317|    reloadAll(currentFilters);
1318|  }
1319|
1320|  window.PeopleAnalytics.ProdutividadeDashboard = { init, reload: reloadAll };
1321|})();
1322|
Request #6 deepseek-v4-flash P:23.05K C:1.84K CR:18.94K CW:0 13154ms
Reasoning
Now I need to check whether there are other templates that load `produtividade-dashboard.js`. Search found only `produtividade_dashboard.html.twig` loads the file (line 358). But wait, there might be another template that embeds it. Also, tests reference the file. Let's check whether there's an include that loads this script on other pages, e.g., `chart_detail.html.twig` also has "Adriana chart analysis"? Actually there might be an "Análise Individual" page that uses produtividade-dashboard? Let me search for other places where the produtividade dashboard JS or data-analysis buttons might be loaded. Search results for `produtividade-dashboard.js`: only template `produtividade_dashboard.html.twig`, and docs/tests. So only one consumer. Since the template adds the new script tag before produtividade-dashboard.js, this is fine as far as script load. However, is it possible the page's JS runs before adriana-chart-analysis.js loads? Script order matters: new module script added before produtividade-dashboard.js, both synchronous (no defer/async), so `window.PeopleAnalytics.AdrianaChartAnalysis` will be defined by the time `bindUiActions` is called in `init`. Let's verify whether the template's scripts at the bottom run after DOM ready or in order. But note the `bindUiActions` only binds if the global exists. Actually, the more serious issue: `AdrianaChartAnalysis.bind` is called only once at `init()`. Good — `bindUiActions` invoked once from init (line 1314). Also pager `changePagerPage` doesn't call bindUiActions, so not duplicated. Wait, but there's a subtlety: `bindUiActions` isn't re-called, so duplication isn't a concern here. But the shared module `bind` guards each button with `dataset.adrianaAnalysisBound === '1'`. So double-binding is protected too. Now, `bindUiActions` when global not available: if the script is missing or failed, buttons become dead silently. But since the same template includes the script, and order is fine, this is a low risk. However, the JS file `produtividade-dashboard.js` may be loaded on other pages? The only place that includes it is produtividade_dashboard.html.twig. So it's fine. Wait, let me check if there is a test file `PeopleAnalyticsDashboardFilesTest.php` that checks script pairing. Might be relevant but not in review scope. Also there's `chart_detail.html.twig` modified (adds script?). Actually in other_changed_files, `templates/people_analytics/chart_detail.html.twig` modified (+14). It might also add the script + bind for `chart_detail` module. But not in review scope. The concern #1 in review plan: verify all consumers of `produtividade-dashboard.js` also include adriana-chart-analysis.js. The only consumer is produtividade_dashboard.html.twig, which does include it now. So this is not a real issue for this PR. However, as a maintainability comment, maybe. Now the selector issue: The new bind selector is `.pa-prod-dash .pa-prod-analysis[data-analysis]`. The buttons in the template have class `pa-prod-analysis` and attribute `data-analysis`. They are inside `.pa-prod-dash`? Need to confirm the wrapping element has class `pa-prod-dash`. Let me read the top of the template. Also the DEFAULT_SELECTOR in the module is `.pa-prod-analysis[data-analysis]`. Let's check the template's root container class around line 90-130 and confirm `.pa-prod-dash` is present. Let me also check `chart_detail.html.twig` to see the pattern and how Adriana bind is used there (the new chart detail module), but it's outside review scope. Now let me consider issue #3: contract with endpoint. Old code posted to `${API_BASE}/chart/${chartId}/ai-analysis` where API_BASE = '/people-analytics/api/produtividade'. New module builds URL `/people-analytics/api/${module}/chart/${chartId}/ai-analysis` where module='produtividade'. Same URL: `/people-analytics/api/produtividade/chart/{id}/ai-analysis`. Body includes filters and question. Headers include X-Requested-With and content-type json. The old one used `fetch` with credentials same-origin; the new one uses jQuery `$.ajax`, which sends cookies same-origin anyway. Wait, but the module uses jQuery ($). Need to ensure jQuery is loaded on the page. The dashboard already uses Highcharts modules and other stuff; jQuery likely present. But the old fetch-based code did not require jQuery. If jQuery is loaded globally on the page, fine. Important: The AJAX request is POST with content-type json. For cross-site CSRF, need CSRF token. The user rules mention CSRF token for mutating AJAX. Let me check how the backend handles CSRF for these requests, and how old code handled it. Old code posted JSON with credentials same-origin and X-Requested-With. If the endpoint requires CSRF token, both old and new would need it. Let's check the controller's route to see whether CSRF is validated (e.g., `$this->isCsrfTokenValid`). Look at `PeopleAnalyticsApiController` modifications and the ai-analysis endpoint. Also, we must confirm that the backend expects response `{success: true, ai_analysis: {...}}`. Let's check the controller. Let me read the diffs of the PHP files to understand endpoint, normalizer, etc. Also potential bug in shared module: In `requestAnalysis`, they build URL with module and chartId. In `bind` click handler, they call `getOrCreatePanel(button, key)`. Wait, `getOrCreatePanel` locates `.pa-prod-card`. The buttons are inside `.pa-prod-card__foot` inside `.pa-prod-card`. Good. But wait: In produtividade template, buttons `.pa-prod-analysis` have class `pa-prod-analysis` and attribute `data-analysis`. In the chart_detail template, do buttons use `.pa-prod-analysis[data-analysis]` too? Possibly. Now, check `.pa-prod-dash` root in produtividade_dashboard template. Let's read template start. Also, check the module load order: new script tag is added at line ~357 after print-report.js and before produtividade-dashboard.js. Both are non-async, so order is guaranteed. Good. Now issue #2/selector: Let me confirm `.pa-prod-dash` container class exists. Read template top (lines 80-130) and around the dashboard root. Let me also verify whether `init()` is called on DOMContentLoaded somewhere else or directly. In this file, we see the init defined but who calls `init()`? Search for `.init` or DOMContentLoaded or where ProdutividadeDashboard.init is invoked.
Tool Calls (3)
file_read
Show Details
{"end_line": 130, "file_path": "templates/people_analytics/produtividade_dashboard.html.twig", "start_line": 1}
File: templates/people_analytics/produtividade_dashboard.html.twig (Total lines: 371)
IS_TRUNCATED: false
LINE_RANGE: 1-130
1|{% extends (app.user and (app.user.isSuperAdmin() or app.user.isManager())) ? 'layoutAdmin.html.twig' : 'layoutUser.html.twig' %}
2|
3|{% block headercss %}
4|	<link rel="stylesheet" href="{{ asset('css/metahuman-standard.css') }}">
5|	<link rel="stylesheet" href="{{ asset('css/people_analytics/index.css') }}">
6|	<link rel="stylesheet" href="{{ asset('css/people_analytics/produtividade-dashboard.css') }}?v={{ 'now'|date('YmdHis') }}">
7|	<link rel="stylesheet" href="{{ asset('css/people_analytics/print-report.css') }}?v={{ 'now'|date('YmdHis') }}">
8|{% endblock %}
9|
10|{% block container %}
11|
12|{# Ícone da Adriana IA, o mesmo usado no header do layoutAdmin.html.twig #}
13|{% set userAvatar = asset('images/ia_images/adriana.png') %}
14|{% set userName = 'Adriana' %}
15|
16|<div class="zero-padding pa-prod-dash modern-layout" data-module="{{ module }}">
17|
18|	<div class="modern-header no-tabs">
19|		<div class="header-top">
20|			<a href="{{ path('people_analytics') }}" class="btn-back-link mr-2" title="Voltar para People Analytics" aria-label="Voltar">
21|				<i class="fas fa-chevron-left"></i>
22|			</a>
23|			<h1 class="header-title mb-0">Produtividade</h1>
24|		</div>
25|	</div>
26|
27|	<div class="modern-header-actions no-print" id="prod_dashboard_controls">
28|		<div class="d-flex align-items-center">
29|			<button type="button" class="mhs-btn-primary d-inline-flex align-items-center" id="btnExportReport">
30|				<i class="fas fa-download mr-2"></i>
31|				<span>Exportar Relatório</span>
32|			</button>
33|		</div>
34|		<div class="filters-container ml-auto d-flex align-items-center">
35|			<label class="pa-prod-period mb-0">
36|				<span class="pa-prod-period__label">Período analisado:</span>
37|				<span class="pa-prod-select">
38|					{# Valores correspondem aos aceitos pelo back (ProdutividadeController::extractFilters → 'periodo') #}
39|					<select id="prodPeriodSelect" aria-label="Período analisado">
40|						<option value="este-mes" selected>Este mês</option>
41|						<option value="mes-passado">Mês passado</option>
42|						<option value="ultimos-3-meses">Últimos 3 meses</option>
43|						<option value="este-trimestre">Este trimestre</option>
44|						<option value="ultimo-trimestre">Último trimestre</option>
45|						<option value="este-semestre">Este semestre</option>
46|						<option value="ultimo-semestre">Último semestre</option>
47|						<option value="este-ano">Este ano</option>
48|						<option value="ano-passado">Ano passado</option>
49|					</select>
50|					<i class="fas fa-chevron-down pa-prod-select__caret" aria-hidden="true"></i>
51|				</span>
52|			</label>
53|		</div>
54|	</div>
55|
56|	{# ============================================================
57|	   CONTEÚDO
58|	   ============================================================ #}
59|	<div class="pa-prod-dash__content">
60|
61|		{#
62|		   ---------- KPIs ----------
63|		   Os 6 cards são preenchidos pelo JS a partir de
64|		   GET /people-analytics/api/produtividade/kpis (mapeamento por data-kpi-key).
65|		   A "Leitura executiva" não tem endpoint dedicado; fica como texto
66|		   institucional fallback.
67|		#}
68|
69|		{# ---------- Linha 1: KPIs principais ---------- #}
70|		<div class="pa-prod-grid pa-prod-grid--kpi">
71|			{# Card 1 - Avanço da Meta de Produtividade → "Produtividade do Período" #}
72|			<div class="pa-prod-kpi" data-kpi-key="goal-progress">
73|				<div class="pa-prod-kpi__title">Avanço da Meta de Produtividade</div>
74|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…</div>
75|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
76|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
77|				</div>
78|			</div>
79|
80|			{# Card 2 - Produtividade da Empresa #}
81|			<div class="pa-prod-kpi" data-kpi-key="company-productivity">
82|				<div class="pa-prod-kpi__title">Produtividade da Empresa</div>
83|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…</div>
84|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
85|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
86|				</div>
87|			</div>
88|
89|			{# Card 3 - Horas Trabalhadas (valor já vem com sufixo "h" do back) #}
90|			<div class="pa-prod-kpi" data-kpi-key="worked-hours">
91|				<div class="pa-prod-kpi__title">Horas Trabalhadas</div>
92|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…</div>
93|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
94|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
95|				</div>
96|			</div>
97|
98|			{# Card 4 - Entregas #}
99|			<div class="pa-prod-kpi" data-kpi-key="deliveries">
100|				<div class="pa-prod-kpi__title">Entregas</div>
101|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…</div>
102|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
103|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
104|				</div>
105|			</div>
106|		</div>
107|
108|		{# ---------- Linha 2: KPIs secundários + Leitura executiva ---------- #}
109|		<div class="pa-prod-grid pa-prod-grid--kpi">
110|			{# Card 5 - Ausências #}
111|			<div class="pa-prod-kpi" data-kpi-key="absences">
112|				<div class="pa-prod-kpi__title">Ausências</div>
113|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…</div>
114|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
115|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
116|				</div>
117|			</div>
118|
119|			{# Card 6 - Engajamento #}
120|			<div class="pa-prod-kpi" data-kpi-key="engagement">
121|				<div class="pa-prod-kpi__title">Engajamento</div>
122|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…<span class="pa-prod-kpi__value-suffix" data-kpi-suffix> / 100</span></div>
123|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
124|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
125|				</div>
126|			</div>
127|
128|			{# Card 7 - Leitura Executiva (sem endpoint específico — texto institucional) #}
129|			<div class="pa-prod-kpi pa-prod-kpi--executive">
130|				<div class="pa-prod-kpi__title pa-prod-kpi__title--exec">
code_search
Show Details
{"file_patterns": ["templates/people_analytics/produtividade_dashboard.html.twig"], "search_text": "ProdutividadeDashboard|init|DOMContentLoaded|pa-prod-dash", "use_perl_regexp": true}
File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 5
16|<div class="zero-padding pa-prod-dash modern-layout" data-module="{{ module }}">
59|	<div class="pa-prod-dash__content">
361|		document.addEventListener('DOMContentLoaded', function () {
365|			if (window.PeopleAnalytics && window.PeopleAnalytics.ProdutividadeDashboard) {
366|				window.PeopleAnalytics.ProdutividadeDashboard.init();

file_read_diff
Show Details
{"path_array": ["src/Controller/PeopleAnalyticsApiController.php", "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php", "src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php", "src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php", "src/Service/PeopleAnalytics/Chart/ChartResolver.php", "src/Service/PeopleAnalytics/MemberAnalysisService.php", "templates/people_analytics/chart_detail.html.twig"]}
==== FILE: src/Controller/PeopleAnalyticsApiController.php ====
diff --git a/src/Controller/PeopleAnalyticsApiController.php b/src/Controller/PeopleAnalyticsApiController.php
--- a/src/Controller/PeopleAnalyticsApiController.php
+++ b/src/Controller/PeopleAnalyticsApiController.php
@@ -105,12 +105,20 @@ class PeopleAnalyticsApiController extends AbstractController
                 ], 400);
             }
 
-            $filters = $data['filters'] ?? [];
+            $rawFilters = $data['filters'] ?? [];
+            $filters = $rawFilters;
             $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção';
 
             // Normalizar filtros
             $filters = $filterNormalizer->normalize($filters);
 
+            if (
+                $module === 'analise_de_membro'
+                && !isset($rawFilters['periodo'])
+            ) {
+                unset($filters['start_date'], $filters['end_date']);
+            }
+
             // Adicionar contexto do usuário (company, permissões)
             $company = $this->userContext->getCompany();
             if ($company) {
==== FILE: src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php ====
diff --git a/src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php b/src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php
--- a/src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php
+++ b/src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php
@@ -87,6 +87,10 @@ class ChartAiAnalysisService
                 'quality_flags' => $qualityFlags,
                 'privacy_min_group' => $resolved['chart_meta']['privacy_min_group'] ?? 5
             ];
+
+            if ($this->hasInsufficientData($qualityFlags, $derivedMetrics)) {
+                return $this->insufficientDataResponse($module, $chartId, $resolved, $aiPayload);
+            }
  
            
             $aiResponse = $this->callDeepSeek($aiPayload, $question);
@@ -578,6 +582,47 @@ Retorne apenas o JSON estruturado conforme especificado.";
         return ['allowed' => true];
     }
 
+    private function hasInsufficientData(array $qualityFlags, array $derivedMetrics): bool
+    {
+        return in_array('empty_data', $qualityFlags, true)
+            || in_array('missing_dimensions', $qualityFlags, true)
+            || empty($derivedMetrics);
+    }
+
+    private function insufficientDataResponse(string $module, string $chartId, array $resolved, array $aiPayload): array
+    {
+        return [
+            'success' => true,
+            'module' => $module,
+            'chart_id' => $chartId,
+            'filters_applied' => $resolved['filters_applied'],
+            'chart_meta' => $resolved['chart_meta'],
+            'chart_data' => $resolved['chart_data'],
+            'ai_payload' => $aiPayload,
+            'ai_analysis' => [
+                'title' => 'Dados insuficientes para análise',
+                'summary' => 'Não há dados suficientes para gerar uma análise confiável neste recorte.',
+                'key_insights' => [],
+                'projections' => [],
+                'attention_points' => [
+                    'O gráfico não retornou categorias, séries ou métricas suficientes para análise.',
+                ],
+                'recommended_actions' => [
+                    'Verifique se o colaborador possui dados no período selecionado.',
+                    'Amplie o período ou ajuste os filtros antes de solicitar a análise novamente.',
+                ],
+                'follow_up_questions' => [],
+                'limitations' => [
+                    'A análise automática não foi enviada à IA porque o payload não contém dados mínimos.',
+                ],
+                'confidence' => 'baixo',
+            ],
+            'ai_provider' => null,
+            'ai_model' => null,
+            'generated_at' => (new \DateTime())->format('c')
+        ];
+    }
+
     /**
      * Resposta fallback para casos de privacidade
      */
==== FILE: src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php ====
diff --git a/src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php b/src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php
--- a/src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php
+++ b/src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php
@@ -38,7 +38,10 @@ class ChartDerivedMetricsCalculator
 
         foreach ($data['datasets'] ?? [] as $dataset) {
             $values = array_filter($dataset['data'] ?? [], 'is_numeric');
-            $seriesName = $dataset['name'] ?? 'Série';
+            $seriesName = $dataset['name'] ?? $dataset['label'] ?? 'Série';
+            if (isset($metrics['series_metrics'][$seriesName])) {
+                $seriesName .= ' ' . (count($metrics['series_metrics']) + 1);
+            }
 
             if (empty($values)) {
                 continue;
@@ -126,7 +129,7 @@ class ChartDerivedMetricsCalculator
             'total_value' => $total,
             'category_count' => count($categories),
             'series_count' => count($series),
-            'series_names' => array_map(fn($s) => $s['name'] ?? 'Série', $series),
+            'series_names' => array_map(fn($s) => $s['name'] ?? $s['label'] ?? 'Série', $series),
             'top_category' => $categories[$maxIndex] ?? null,
             'top_value' => $maxValue,
             'top_share' => $total > 0 ? round(($maxValue / $total) * 100, 2) : 0,
@@ -139,7 +142,10 @@ class ChartDerivedMetricsCalculator
         // Adicionar totais por série
         $seriesBreakdown = [];
         foreach ($series as $seriesItem) {
-            $seriesName = $seriesItem['name'] ?? 'Série';
+            $seriesName = $seriesItem['name'] ?? $seriesItem['label'] ?? 'Série';
+            if (isset($seriesBreakdown[$seriesName])) {
+                $seriesName .= ' ' . (count($seriesBreakdown) + 1);
+            }
             $seriesValues = [];
             foreach ($seriesItem['data'] ?? [] as $val) {
                 if (is_numeric($val)) {
==== FILE: src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php ====
diff --git a/src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php b/src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php
--- a/src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php
+++ b/src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php
@@ -80,6 +80,7 @@ class ChartFilterNormalizer
             'teams' => 'team_ids',
             'area' => 'team_group_ids',
             'areas' => 'team_group_ids',
+            'membro' => 'member_ids',
             'member' => 'member_ids',
             'members' => 'member_ids',
         ];
@@ -95,6 +96,16 @@ class ChartFilterNormalizer
             }
         }
 
+        if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) {
+            $normalized['member_id'] = (int) reset($normalized['member_ids']);
+        }
+
+        foreach (['memberId', 'company_member_id', 'companyMemberId', 'selected_member_id'] as $memberKey) {
+            if (!isset($normalized['member_id']) && isset($filters[$memberKey]) && is_numeric($filters[$memberKey])) {
+                $normalized['member_id'] = (int) $filters[$memberKey];
+            }
+        }
+
         // 6. Copiar outros filtros não processados
         foreach ($filters as $key => $value) {
             if (!isset($normalized[$key]) && !in_array($key, array_keys($keyMappings))) {
==== FILE: src/Service/PeopleAnalytics/Chart/ChartResolver.php ====
diff --git a/src/Service/PeopleAnalytics/Chart/ChartResolver.php b/src/Service/PeopleAnalytics/Chart/ChartResolver.php
--- a/src/Service/PeopleAnalytics/Chart/ChartResolver.php
+++ b/src/Service/PeopleAnalytics/Chart/ChartResolver.php
@@ -69,6 +69,14 @@ class ChartResolver
 
         // 2. Normalizar filtros
         $normalizedFilters = $this->filterNormalizer->normalize($filters);
+        if (
+            $module === 'analise_de_membro'
+            && !isset($filters['periodo'])
+            && !isset($filters['start_date'])
+            && !isset($filters['end_date'])
+        ) {
+            unset($normalizedFilters['start_date'], $normalizedFilters['end_date']);
+        }
 
         // 3. Buscar dados do gráfico
         try {
==== FILE: src/Service/PeopleAnalytics/MemberAnalysisService.php ====
diff --git a/src/Service/PeopleAnalytics/MemberAnalysisService.php b/src/Service/PeopleAnalytics/MemberAnalysisService.php
--- a/src/Service/PeopleAnalytics/MemberAnalysisService.php
+++ b/src/Service/PeopleAnalytics/MemberAnalysisService.php
@@ -48,12 +48,18 @@ class MemberAnalysisService
      */
     public function getChartData(string $chartId, array $filters): array
     {
-        $memberId = $filters['member_id'] ?? null;
+        $memberId = $filters['member_id'] ?? $filters['membro'] ?? null;
+        if (!$memberId && !empty($filters['member_ids'])) {
+            $memberId = reset($filters['member_ids']);
+        }
         if (!$memberId) {
             throw new \InvalidArgumentException("member_id é obrigatório nos filtros para análise de membro");
         }
 
-        return match($chartId) {
+        $filters['member_id'] = (int) $memberId;
+        $filters['membro'] = [(int) $memberId];
+
+        $chartData = match($chartId) {
             'chart-linha-desempenho' => $this->getPerformanceLine($memberId, $filters),
             'chart-carga-produtividade' => $this->getWorkloadVsProductivity($memberId, $filters),
             'chart-tempo-atividade-membro' => $this->getTimeByActivityType($memberId, $filters),
@@ -63,6 +69,22 @@ class MemberAnalysisService
             'chart-scatter-prod-ausencia' => $this->getProductivityVsAbsenceScatter($memberId, $filters),
             default => throw new \InvalidArgumentException("Gráfico não encontrado: {$chartId}")
         };
+
+        return array_merge($this->chartMetadata($chartId), $chartData);
+    }
+
+    private function chartMetadata(string $chartId): array
+    {
+        return match ($chartId) {
+            'chart-linha-desempenho' => ['title' => 'Linha de Desempenho', 'type' => 'line'],
+            'chart-carga-produtividade' => ['title' => 'Carga de Trabalho vs Produtividade', 'type' => 'line'],
+            'chart-tempo-atividade-membro' => ['title' => 'Tempo por Tipo de Atividade', 'type' => 'donut'],
+            'chart-entregas-projeto' => ['title' => 'Entregas por Projeto', 'type' => 'bar'],
+            'chart-boxplot-equipe-membro' => ['title' => 'Produtividade da Equipe com Membro Destacado', 'type' => 'boxplot'],
+            'chart-ranking-produtividade' => ['title' => 'Ranking de Produtividade', 'type' => 'bar'],
+            'chart-scatter-prod-ausencia' => ['title' => 'Produtividade vs Ausência', 'type' => 'scatter'],
+            default => ['title' => 'Análise Individual', 'type' => 'unknown'],
+        };
     }
 
     // ==========================================
==== FILE: templates/people_analytics/chart_detail.html.twig ====
diff --git a/templates/people_analytics/chart_detail.html.twig b/templates/people_analytics/chart_detail.html.twig
--- a/templates/people_analytics/chart_detail.html.twig
+++ b/templates/people_analytics/chart_detail.html.twig
@@ -2619,6 +2619,20 @@ document.addEventListener('DOMContentLoaded', function() {
 		if (window.PeopleAnalyticsPermission && window.PeopleAnalyticsPermission.autoFilters) {
 			Object.assign(currentFilters, window.PeopleAnalyticsPermission.autoFilters);
 		}
+
+		{% if module == 'analise_de_membro' %}
+		var urlParams = new URLSearchParams(window.location.search);
+		var hasExplicitPeriod = urlParams.has('periodo') || urlParams.has('start_date') || urlParams.has('end_date');
+		if (!hasExplicitPeriod) {
+			delete currentFilters.periodo;
+			delete currentFilters.start_date;
+			delete currentFilters.end_date;
+		}
+		var memberId = urlParams.get('member_id') || urlParams.get('membro');
+		if (memberId) {
+			currentFilters.member_id = memberId;
+		}
+		{% endif %}
 		
 		var endpoint = '/people-analytics/api/{{ module }}/chart/{{ chart.id }}/ai-analysis';
 		
Request #7 deepseek-v4-flash P:30.47K C:808 CR:24.83K CW:0 6596ms
Reasoning
Interesting. `chart_detail.html.twig` also has an inline JS that posts to `/people-analytics/api/{module}/chart/{chart.id}/ai-analysis` — but that's outside review scope. Let's check though how chart_detail page calls ai-analysis (its own inline code) — it seems to be a different flow (chart detail). Now the key concern: The produtividade dashboard calls the shared module `AdrianaChartAnalysis.bind` with module='produtividade' and selector `.pa-prod-dash .pa-prod-analysis[data-analysis]`. The buttons match that (buttons have `pa-prod-analysis` class + `data-analysis` attr and are within `.pa-prod-dash`). Good. The requestAnalysis in shared module posts to `/people-analytics/api/produtividade/chart/{chartId}/ai-analysis`, same as old. Headers include X-Requested-With. jQuery's $.ajax. But wait — the module IIFE wraps with `(function ($) { ... })(jQuery);`. If the page loads jQuery, fine. Is jQuery loaded on this page? Need to verify. In the template's scripts, does it include jQuery? Let me look at lines 340-371 to see the script includes. The template shows highcharts accessibility, print-report.js, adriana-chart-analysis.js, produtividade-dashboard.js. Highcharts is loaded... but does the page load jQuery? produtividade-dashboard.js uses plain `fetch`, not jQuery. But layoutAdmin / layoutUser may load jQuery globally. In most admin apps there's jQuery. Let's read the rest of the template (lines 330-371). Also, potential concern: Since the shared module calls `$.ajax` with `contentType: 'application/json'`, it needs jQuery's `ajax`. If jQuery is not loaded on this page, then when the user clicks a button, an error `$ is not a function` inside the click handler — wait no, the bind() runs at init (immediately when DOMContentLoaded fires and ProdutividadeDashboard.init() is called). `bind()` executes `$(selector).each(...)` at bind time. If `$` isn't defined at that point, an exception occurs during init. But note bind is inside `if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis)`. If jQuery is missing, the adriana module script itself would fail to execute when loaded (because `})(jQuery)` would throw — actually the IIFE executes immediately at script load: `(function ($) { ... })(jQuery);` would throw `ReferenceError: jQuery is not defined` when the script runs, meaning `window.PeopleAnalytics.AdrianaChartAnalysis` would never be set — and bindUiActions would silently skip, and the buttons do nothing. That's the regression scenario #1. But it would only occur if jQuery is not loaded. Let me check layoutAdmin/layoutUser for jQuery, or the template bottom for jQuery inclusion. Let me read template lines 330-371.
Tool Calls (2)
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Show Details
{"end_line": 371, "file_path": "templates/people_analytics/produtividade_dashboard.html.twig", "start_line": 330}
File: templates/people_analytics/produtividade_dashboard.html.twig (Total lines: 371)
IS_TRUNCATED: false
LINE_RANGE: 330-371
330|						<span class="pa-prod-legend-item">
331|							<span class="pa-prod-legend-dot pa-prod-legend-dot--gray"></span>
332|							Ausências
333|						</span>
334|					</div>
335|				</div>
336|			</div>
337|		</div>
338|
339|	</div>
340|</div>
341|
342|{% endblock %}
343|
344|{% block javascripts %}
345|	{{ parent() }}
346|
347|	<script src="{{ asset('js/metahuman-standard.js') }}"></script>
348|
349|	{# Highcharts - mesmo conjunto usado pelo módulo padrão #}
350|	<script src="https://code.highcharts.com/highcharts.js"></script>
351|	<script src="https://code.highcharts.com/highcharts-more.js"></script>
352|	<script src="https://code.highcharts.com/modules/heatmap.js"></script>
353|	<script src="https://code.highcharts.com/modules/exporting.js"></script>
354|	<script src="https://code.highcharts.com/modules/accessibility.js"></script>
355|
356|	<script src="{{ asset('js/people-analytics/print-report.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
357|	<script src="{{ asset('js/people-analytics/modules/adriana-chart-analysis.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
358|	<script src="{{ asset('js/people-analytics/modules/produtividade-dashboard.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
359|
360|	<script>
361|		document.addEventListener('DOMContentLoaded', function () {
362|			if (window.jQuery && jQuery.fn.tooltip) {
363|				$('[data-toggle="tooltip"]').tooltip();
364|			}
365|			if (window.PeopleAnalytics && window.PeopleAnalytics.ProdutividadeDashboard) {
366|				window.PeopleAnalytics.ProdutividadeDashboard.init();
367|			}
368|		});
369|	</script>
370|{% endblock %}
371|
code_search
Show Details
{"file_patterns": ["templates/people_analytics/produtividade_dashboard.html.twig"], "search_text": "jquery"}
File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 1
362|			if (window.jQuery && jQuery.fn.tooltip) {

Request #8 deepseek-v4-flash P:31.89K C:725 CR:31.23K CW:0 5740ms
Reasoning
The template uses jQuery via `window.jQuery` guarded. jQuery is presumably loaded by the layout (parent). The shared module assumes jQuery is global as `jQuery`. The template guards `window.jQuery` at line 362, but the adriana-chart-analysis.js script executes immediately with `(function ($){...})(jQuery)`. If jQuery wasn't loaded before this script, it throws. But since line 362 guards with `window.jQuery`, the developer anticipates jQuery is present (usually layout loads it). jQuery is typically available in admin layouts. So not a strong issue. Actually wait — one important thing: in the original code, the AJAX call used `fetch` with `credentials: 'same-origin'`. New module uses jQuery `$.ajax`. jQuery by default sends cookies same-origin; CSRF? It sets X-Requested-With by default (for non-cross domain), actually jQuery sets `X-Requested-With: XMLHttpRequest` by default. Here they also explicitly set it. Content-Type is application/json. For CSRF protection, Symfony often relies on `X-Requested-With` for XMLHttpRequest exemption? Not always. Let me check controller to see how CSRF is handled for these endpoints. The controller diff shows the ai-analysis route code. Let me read the controller file around the ai-analysis action to see if it checks CSRF. Let me search for csrf in PeopleAnalyticsApiController and the isGranted etc. Let's read the controller region lines 80-200. Also let me check the module name for produtividade: `module: 'produtividade'`, so URL is `/people-analytics/api/produtividade/chart/{id}/ai-analysis`, matching the API_BASE. Good, consistent. Now, big question: this PR says "Corrige a Análise Individual..." The dashboard produtividade changes are part of refactor to centralize Adriana chart analysis. The diff removed the embedded analysis functions and delegated to shared module. On the produtividade dashboard, are the `data-analysis` buttons visible? In `setDashboardLoading`, `setAnalysisVisible(key, false)` is called for each key to hide during load; then presumably after data is loaded they show the buttons when there is data. Let me check where `setAnalysisVisible` is called with true to show buttons — that indicates when the buttons are displayed. Actually, the buttons are hidden (`hidden` attr) when there's no data? Let's look for where they call `setAnalysisVisible(key, true)`. Let me search within the file for `setAnalysisVisible`.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "setAnalysisVisible"}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 18
268|  function setAnalysisVisible(key, visible) {
523|          setAnalysisVisible('produtividade-tempo', false);
527|        setAnalysisVisible('produtividade-tempo', true);
616|        setAnalysisVisible('produtividade-tempo', false);
641|          setAnalysisVisible('entregas-projeto', false);
648|        setAnalysisVisible('entregas-projeto', true);
659|        setAnalysisVisible('entregas-projeto', false);
675|      setAnalysisVisible('entregas-projeto', false);
680|    setAnalysisVisible('entregas-projeto', true);
784|          setAnalysisVisible('entregas-equipe', false);
791|        setAnalysisVisible('entregas-equipe', true);
802|        setAnalysisVisible('entregas-equipe', false);
821|      setAnalysisVisible('entregas-equipe', false);
826|    setAnalysisVisible('entregas-equipe', true);
1034|          setAnalysisVisible('prod-vs-ausencias', false);
1038|        setAnalysisVisible('prod-vs-ausencias', true);
1122|        setAnalysisVisible('prod-vs-ausencias', false);
1281|    Object.keys(ANALYSIS_CHART_ID).forEach((key) => setAnalysisVisible(key, false));

code_search
Show Details
{"file_patterns": ["src/Controller/PeopleAnalyticsApiController.php"], "search_text": "csrf|isCsrfTokenValid|ai-analysis|aiAnalysis|chart_id|request->", "use_perl_regexp": true}
File: src/Controller/PeopleAnalyticsApiController.php
Match lines: 7
6|use App\Service\PeopleAnalytics\Chart\ChartAiAnalysisService;
44|     * POST /people-analytics/api/{module}/chart/{chartId}/ai-analysis
71|    #[Route('/{module}/chart/{chartId}/ai-analysis', name: 'people_analytics_api_chart_ai_analysis', methods: ['POST'])]
72|    public function chartAiAnalysis(
76|        ChartAiAnalysisService $aiAnalysisService,
100|            $data = json_decode($request->getContent(), true);
129|            $result = $aiAnalysisService->analyze($module, $chartId, $filters, $question);

Request #9 deepseek-v4-flash P:33.1K C:110 CR:32.51K CW:0 1680ms
Reasoning
Let me read the controller's chartAiAnalysis action to understand security: CSRF, permissions, company isolation.
Tool Calls (1)
file_read
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{"end_line": 200, "file_path": "src/Controller/PeopleAnalyticsApiController.php", "start_line": 40}
File: src/Controller/PeopleAnalyticsApiController.php (Total lines: 170)
IS_TRUNCATED: false
LINE_RANGE: 40-170
40|     * "Com taxa de rotatividade histórica de 15% + características atuais 
41|     * (salários, bem-estar, engajamento), prevê-se um AUMENTO para 22% 
42|     * nos próximos 6 meses, com MAIOR RISCO no departamento de Tecnologia"
43|     * 
44|     * POST /people-analytics/api/{module}/chart/{chartId}/ai-analysis
45|     * 
46|     * Body para Análise Descritiva: {
47|     *   "filters": {...},
48|     *   "question": "Explique os principais insights e pontos de atenção"
49|     * }
50|     * 
51|     * Body para Análise Preditiva (Projeção): {
52|     *   "filters": {...},
53|     *   "question": "Qual será a taxa de rotatividade nos próximos 6 meses?",
54|     *   "analysis_type": "projection",
55|     *   "projection_config": {
56|     *     "time_horizon": "6 months",
57|     *     "target_variable": "turnover_rate",
58|     *     "breakdown_by": ["department", "seniority"]
59|     *   }
60|     * }
61|     * 
62|     * Casos de Uso de Projeções:
63|     * - Prever aumento/redução de rotatividade
64|     * - Projetar custos futuros com pessoas
65|     * - Antecipar queda de engajamento (eNPS)
66|     * - Simular impacto de políticas de D&I
67|     * - Prever aumento de absenteísmo
68|     * 
69|     * 📚 Documentação completa: docs/people-analytics/ai_analysis/PROJECOES_IA.md
70|     */
71|    #[Route('/{module}/chart/{chartId}/ai-analysis', name: 'people_analytics_api_chart_ai_analysis', methods: ['POST'])]
72|    public function chartAiAnalysis(
73|        Request $request,
74|        string $module,
75|        string $chartId,
76|        ChartAiAnalysisService $aiAnalysisService,
77|        ChartFilterNormalizer $filterNormalizer
78|    ): JsonResponse {
79|        try {
80|            // Validar módulo
81|            $validModules = [
82|                'saude_organizacional',
83|                'atracao_retencao',
84|                'produtividade',
85|                'visao_geral_custos',
86|                'diversidade_inclusao',
87|                'engajamento',
88|                'bem_estar_ausencia',
89|                'analise_de_membro'
90|            ];
91|
92|            if (!in_array($module, $validModules)) {
93|                return new JsonResponse([
94|                    'success' => false,
95|                    'error' => 'Módulo inválido'
96|                ], 400);
97|            }
98|
99|            // Parsear request body
100|            $data = json_decode($request->getContent(), true);
101|            if (json_last_error() !== JSON_ERROR_NONE) {
102|                return new JsonResponse([
103|                    'success' => false,
104|                    'error' => 'JSON inválido'
105|                ], 400);
106|            }
107|
108|            $rawFilters = $data['filters'] ?? [];
109|            $filters = $rawFilters;
110|            $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção';
111|
112|            // Normalizar filtros
113|            $filters = $filterNormalizer->normalize($filters);
114|
115|            if (
116|                $module === 'analise_de_membro'
117|                && !isset($rawFilters['periodo'])
118|            ) {
119|                unset($filters['start_date'], $filters['end_date']);
120|            }
121|
122|            // Adicionar contexto do usuário (company, permissões)
123|            $company = $this->userContext->getCompany();
124|            if ($company) {
125|                $filters['company_id'] = $company->getId();
126|            }
127|
128|            // Chamar service de análise
129|            $result = $aiAnalysisService->analyze($module, $chartId, $filters, $question);
130|            if (!$result['success']) {
131|                return new JsonResponse($result, 500);
132|            }
133|
134|            return new JsonResponse($result);
135|
136|        } catch (\Exception $e) {
137|            $this->logger->error('[API] Erro na análise de IA', [
138|                'module' => $module,
139|                'chartId' => $chartId,
140|                'error' => $e->getMessage(),
141|                'trace' => $e->getTraceAsString()
142|            ]);
143|
144|            return new JsonResponse([
145|                'success' => false,
146|                'error' => 'Erro ao processar análise: ' . $e->getMessage()
147|            ], 500);
148|        }
149|    }
150|
151|    /**
152|     * Endpoint para verificar status da IA (healthcheck)
153|     * 
154|     * GET /people-analytics/api/ai/health
155|     */
156|    #[Route('/ai/health', name: 'people_analytics_api_ai_health', methods: ['GET'])]
157|    public function aiHealth(): JsonResponse
158|    {
159|        return new JsonResponse([
160|            'success' => true,
161|            'status' => 'operational',
162|            'provider' => 'deepseek',
163|            'model' => 'deepseek-chat',
164|            'timestamp' => (new \DateTime())->format('c')
165|        ]);
166|    }
167|}
168|
169|
170|
Request #10 deepseek-v4-flash P:34.65K C:2.4K CR:33.15K CW:0 18788ms
Reasoning
The endpoint doesn't check CSRF. It checks company from `userContext`. Both old and new requests don't send CSRF, so not a regression. Now let me analyze the main review concerns: ### Concern A: Silent failure if module not loaded `produtividade-dashboard.js` is only consumed by `produtividade_dashboard.html.twig` (single consumer). Both scripts are loaded in the same template and synchronous; adriana module loaded first (line 357), produtividade module after (line 358). So module will be defined by the time `bindUiActions` runs at DOMContentLoaded. This makes scenario of missing module unlikely. However, if jQuery isn't loaded on the page before adriana-chart-analysis.js executes, that module's IIFE throws ReferenceError: jQuery is not defined → global not set → bind skipped silently. Is jQuery present? The template itself calls `$(...)` at line 363 with a `window.jQuery` guard, so the page expects jQuery but from a parent layout. I can check if layoutAdmin includes jQuery. Let me search for where jQuery is loaded, e.g., in layout templates or base templates. There's likely a global `jquery` asset. But this is a shared file check, might not be needed. Since other modules like print-report.js may use jQuery. Wait, actually, another thing — the shared module wraps in jQuery plugin-style. The `chart_detail.html.twig` and other pages presumably also load jQuery. It's probably safe. Given the produtividade template loads the module before using it, the silent failure risk is low but if script load fails (404, network), buttons dead silently. The original code would also fail if the JS wasn't loaded but that's because produtividade-dashboard.js itself wasn't loaded. Now with a split, if adriana-chart-analysis.js missing, rest of dashboard still works but the analysis buttons dead — a partial regression that's silent. This is worth a low/medium note: add console.warn/fallback in bindUiActions else branch. I'd rate this "low" since both scripts are in the same template and ordered correctly, but robustness-wise a defensive log is reasonable. Actually, per review plan issue #1 with "high" - but the plan is a guide; I need to assess actual severity. Given there's only one consumer and the script is included right before, the risk is modest. However there might be a caching/build deploy: templates and assets are deployed together. So the risk is mainly if adriana script fails to load for any reason; silent dead buttons. I'll report as low/medium severity. Actually let me check tests to see if there's a test verifying the pairing (test file `PeopleAnalyticsDashboardFilesTest.php`) — that might flag that all modules list. But that's outside review group; can't comment on it. ### Concern B: The shared module uses jQuery ($.ajax), but the produtividade dashboard uses fetch. jQuery presence must be confirmed. Let me search the layout for jQuery script load. Let me search globally for "jquery" asset references in templates. ### Concern C: Chart IDs mapping: `ANALYSIS_CHART_ID` maps 'entregas-projeto' → 'chart-volume-entregas'. Wait, the template graph ids: 'chart-entregas-projeto' and chart key for entregas-projeto is 'chart-volume-entregas'. Let's check what chart ids the backend produtividade resolver knows. The old code used the same ANALYSIS_CHART_ID map with API_BASE/chart/{id}/ai-analysis; unchanged, so no regression. ### Concern D: `getFilters` returns `currentFilters` which includes filters like `periodo`. Wait: `currentFilters` may also include fields from the global filter event, e.g., team ids, member? For produtividade module, sending filters is same as before (old requestAnalysis used currentFilters too). No change. But note: new shared module always sends `filters` from `getFilters()` evaluated at click time, which is the same as old code. OK. ### Concern E: The module renders `panel` inside `card`. The produtividade dashboard previously used `getAnalysisPanel(key, true)` and appended the panel inside the card; new module `getOrCreatePanel(button, key)` does the same (`button.closest('.pa-prod-card')`, `card.appendChild`). Actually old `getAnalysisPanel` did `card.querySelector([data-analysis-panel=key])` then appended to `card`; same. Fine. But one behavioral difference: In old code, when loading failed it called `notify(...)`. In new module it calls `renderError(panel, ...)`. Fine. Now, one possible bug: the panel is appended at the end of the card, after the foot. In template, `.pa-prod-card__foot` contains the analysis button, and the module appends panel to `card` (i.e., after the foot). Old code also appended panel to card. Since render uses CSS classes `pa-prod-analysis-panel`, they must exist on this page. Let me check whether produtividade CSS contains `.pa-prod-analysis-panel` styles... Actually old code used the same classes `pa-prod-analysis-panel`, `.pa-prod-analysis-panel__header`, etc. Since these were previously rendered with the same classes, and the CSS presumably already exists (the old panel was part of the same page). OK, no regression. ### Concern F: duplicated function / dead code After removal: - `escapeHtml` at line 163: not used anywhere else in the file (only definition found). Let me double-check: search for "escapeHtml" in produtividade file returned a single match at line 163 (definition). So escapeHtml is dead code now. Before removal it was used in renderAnalysisList/renderAnalysisResult, both removed. Is escapeHtml used anywhere else like heatmap building? buildHeatmapInsight uses plain strings, no escapeHtml. setEmpty/setError use message via innerHTML without escapeHtml (pre-existing). So escapeHtml now unused → dead code. - `getAnalysisPanel` still used at line 275 by setAnalysisVisible (panel removal when hidden). So it's still used. Not dead. - `notify`: defined at 1294. Is it still used anywhere? Search earlier for "notify" found only definition at 1294? Actually the regex search for `getAnalysisPanel|notify|API_BASE` returned: - 27 API_BASE const - 108 API_BASE use - 275 getAnalysisPanel call - 280 getAnalysisPanel def - 1294 notify def So `notify` is defined but never called now (previously used in requestAnalysis catch). Let me double check there aren't other calls with different formatting like `notify(`. The regex matched only 1294. So `notify` is dead code after the removal. - `API_BASE` is still used (line 108). Not dead. - `setAnalysisLoading`, `renderAnalysisList`, `renderAnalysisResult`, `requestAnalysis` removed. So dead code to flag: `escapeHtml` (line 163) and `notify` (line 1294) are now unused — low severity maintainability. Since file is large (1322 lines), removing dead code matters per user priority "Lógica duplicada / arquivo já grande". Low. ### Concern G: Double-bind risk `bindUiActions()` called only once in `init()`. And init is invoked once per DOMContentLoaded in the template. Also shared module guards with dataset flag. So no duplication on this dashboard. However, `bindUiActions` is inside produtividade JS; the pager reloads render charts but doesn't call bindUiActions again. Good. But wait — the buttons remain permanently bound and the module guard `adrianaAnalysisBound` prevents re-binding. Fine. ### Concern H: The `renderAnalysis` in the shared module renders `analysis.projections` list ('Projeções'), plus attention_points, etc. Backend response includes these keys in the JSON? The ai_analysis format from ChartAiAnalysisService includes projections and follow_up_questions. And `insufficientDataResponse` includes those keys. The produtividade dashboard previously rendered only key_insights, attention_points, recommended_actions, limitations. New module adds projections section; backend includes projections? Let me check ai_analysis fields generated by ChartAiAnalysisService to verify keys exist for produtividade charts too (not only analise_de_membro). Actually ai_analysis returned by DeepSeek parsing. Let me search in the service for the keys: key_insights, projections, etc. This is a contract concern: if backend's ai_analysis for the produtividade endpoint doesn't include `projections`, renderList returns '' fine. So no crash. Not blocking. ### Concern I: New request posts `question` — the old default question included specific text 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.' New passes same string via `question`. Good. ### Concern J: ChartId mapping includes entries whose chart DOM ids differ from the "chart ids" used by backend (chart-volume-entregas vs chart-entregas-projeto). Unchanged though. ### Concern K: potential XSS in shared module — it escapes everything via escapeHtml before inserting into innerHTML. Good, consistent. renderList items escaped. Fine. ### Concern L: `setButtonLoading` in shared module: uses global `window.setButtonLoading` if present else falls back. Fine. ### Concern M: jQuery dependency. Let me check where jQuery is loaded globally so we can flag if needed. Let me search for "jquery.min.js" or "jquery.js" in templates or layout. Actually, produtividade-dashboard.js is a plain IIFE (no jQuery). adriana-chart-analysis.js wraps `(function ($) {...})(jQuery)`. In produtividade template, the module runs at load (before DOMContentLoaded), requiring global jQuery already loaded — from parent layout (in head or earlier in javascripts block, before this block extends). If layout provides jQuery, fine. It appears the layout loads jQuery (line 362 guard suggests jQuery normally available but guard for tooltip). Since the module would break silently if jQuery missing, we could note as low maintainability risk: recommend a guard `if (window.jQuery)`. But better: check the layout to see if jQuery is loaded at all on these pages. Let me search for jquery in templates/layout.
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{"file_patterns": ["templates/layoutAdmin.html.twig", "templates/layoutUser.html.twig"], "search_text": "jquery"}
File: templates/layoutAdmin.html.twig
Match lines: 19
81|<link rel="stylesheet" href="{{asset('css/jquery.alerts.css')}}" type="text/css" />
120|<!-- jQuery -->
121|<script src="{{asset('AdminLTE/plugins/jquery/jquery.min.js')}}"></script>
122|<script src="https://code.jquery.com/ui/1.13.2/jquery-ui.js"></script>
123|<script type="text/javascript" src="{{asset('js/jquery-migrate-1.1.1.min.js')}}"></script>
128|<!-- jQuery UI 1.11.4 -->
129|<script src="{{asset('AdminLTE/plugins/jquery-ui/jquery-ui.min.js')}}"></script>
132|<script type="text/javascript" src="{{asset('js/jquery.alerts.js')}}"></script>
3636|<!-- Resolve conflict in jQuery UI tooltip with Bootstrap tooltip -->
3644|<!-- jQuery Knob Chart -->
3645|<script src="{{ asset('AdminLTE/plugins/jquery-knob/jquery.knob.min.js') }}"></script>
3647|<script src="{{ asset('AdminLTE/plugins/overlayScrollbars/js/jquery.overlayScrollbars.min.js') }}"></script>
3661|<script src="{{ asset('AdminLTE/plugins/inputmask/min/jquery.inputmask.bundle.min.js') }}"></script>
3813|                    /* jQueryKnob */
3877|        /* END JQUERY KNOB */
3993|    jQuery(document).ready(function () {
4002|        // jQuery.AdminLTE.tree('.sidebar');
4010|    {# jQuery.ajax({
4213|    jQuery(document).on('DOMNodeInserted', '.btn_success_msg', function (e) {

File: templates/layoutUser.html.twig
Match lines: 28
56|		<link rel="stylesheet" href="{{ asset('css/jquery.alerts.css') }}" type="text/css"/>
127|	<!-- jQuery -->
128|	<script src="{{ asset('AdminLTE/plugins/jquery/jquery.min.js') }}"></script>
129|	<script type="text/javascript" src="{{ asset('js/jquery-migrate-1.1.1.min.js') }}"></script>
130|	<!-- jQuery UI 1.11.4 -->
131|	<script src="{{ asset('AdminLTE/plugins/jquery-ui/jquery-ui.min.js') }}"></script>
132|	<!-- Toastr (must be loaded after jQuery) -->
136|	<script type="text/javascript" src="{{ asset('js/jquery.alerts.js') }}"></script>
3176|		<!-- jQuery -->
3177|		  <script src="{{asset('AdminLTE/plugins/jquery/jquery.min.js')}}"></script><!-- jQuery UI 1.11.4 --> <script src="{{asset('AdminLTE/plugins/jquery-ui/jquery-ui.min.js')}}"></script><!-- Resolve conflict in jQuery UI tooltip with Bootstrap tooltip --> <script>
3179|		</script><!-- Onboarding / intro.js --> <script src="https://cdnjs.cloudflare.com/ajax/libs/intro.js/3.4.0/intro.min.js" integrity="sha512-QWPjvFqgUJv5X6Sq5NXmwJQSEzUEBxmCCcgqJd5/5luZnS6llRbshsChUNKrFlZ4bshKZEJxAHDB+WWdMsGvUA==" crossorigin="anonymous"></script>#}<!-- Resolve conflict in jQuery UI tooltip with Bootstrap tooltip --> 
3183|        <script type="text/javascript" src="{{ asset('js/jquery-migrate-1.1.1.min.js') }}"></script><!-- jQuery UI 1.11.4 --> 
3184|        <script src="{{ asset('AdminLTE/plugins/jquery-ui/jquery-ui.min.js') }}"></script><!-- Bootstrap 4 --> 
3186|        <script src="{{ asset('vendor/intro.js-3.4.0/intro.min.js') }}"></script><!-- jQuery Knob Chart --> <script src="{{ asset('AdminLTE/plugins/jquery-knob/jquery.knob.min.js') }}"></script><!-- overlayScrollbars --> 
3187|        <script src="{{ asset('AdminLTE/plugins/overlayScrollbars/js/jquery.overlayScrollbars.min.js') }}"></script><!-- AdminLTE App --> 
3193|        <script type="text/javascript" src="{{ asset('js/jquery.alerts.js') }}"></script><!-- InputMask --> 
3195|        <script src="{{ asset('AdminLTE/plugins/inputmask/min/jquery.inputmask.bundle.min.js') }}"></script><!-- date-range-picker --> 
3198|        <script type="text/javascript" src="{{ asset('js/jquery.alerts.js') }}"></script><!-- AdminLTE custom js --> 
3272|		        /* jQueryKnob */
3333|		        /* END JQUERY KNOB */
3381|		    jQuery(".contato").click(function () {
3382|		        jQuery(".vc_chat_container").addClass("vc_box_open");
3383|		        jQuery(".vc_chat_head").show();
3384|		        jQuery(".vc_chat_toggle_container").show();
3523|		    jQuery(document).ready(function () {
3605|            {# jQuery.ajax({
3800|            jQuery(document).ready(function () {
3806|            jQuery(document).on('DOMNodeInserted', '.btn_success_msg', function (e) {

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{"file_patterns": ["public/js/people-analytics/modules/adriana-chart-analysis.js"], "search_text": "projections|follow_up_questions"}
No matches found
Request #11 deepseek-v4-flash P:38.25K C:2.84K CR:36.99K CW:0 22017ms
Reasoning
jQuery is loaded by both layouts in head/script sections. The layout scripts are in `head` presumably at lines 120-132 of layoutAdmin; whether they execute before the content block's `javascripts` at bottom depends. In layoutAdmin, line 120 `<script>` in the head section — these are placed in the layout. In `{% block javascripts %}` with `{{ parent() }}`, the layout's bottom scripts... The produtividade template block javascripts adds its scripts. If parent() includes layout scripts AFTER content block scripts, jQuery would still be loaded (order matters: if jQuery loads after adriana-chart-analysis.js, ReferenceError). But in layoutAdmin, the jQuery script at line 120/121 is probably in the `<head>`; and the layout also loads more jQuery later. The content's javascripts block usually sits at end of body before the layout's inline scripts. Typically base layout renders `{{ block('javascripts') }}` inside the body near the end; then more layout scripts after. jQuery loaded in head precedes the content block at the end of body. So jQuery should be available. The tooltip code in template (line 362) guards `window.jQuery` and it runs on DOMContentLoaded. They guard to avoid errors; the modules themselves run before DOMContentLoaded. In produtividade, this is fine as jQuery is in the layout head. Since jQuery is in the layout `<head>` (line 120 in layoutAdmin head? not exactly sure), it's highly likely loaded before these body scripts. So not a blocking issue. Now, since jQuery is confirmed available, issue #1/#2 relative to "module absent" is minor. But the silent-failure path remains when the shared module file fails to load. Still, since scripts are in the same template and sequential, low risk. Given the module was added to template, and there is only one consumer, this works. Wait — but is `adriana-chart-analysis.js` loaded in the produtividade dashboard when the page is used for **individual analysis**? The PR intent: "Corrige a Análise Individual". Actually the chart_detail.html.twig also adds script? Let me check whether chart_detail.html.twig references `adriana-chart-analysis.js` or if it only uses inline JS. In the diff for chart_detail.html.twig we saw inline JS that sets up the ai-analysis request — wait, but they didn't add the new module script to chart_detail. Let me see the diff: chart_detail.html.twig got +14 lines with inline code around `endpoint = '/people-analytics/api/{{ module }}/chart/{{ chart.id }}/ai-analysis'`. So chart detail page does its own request inline (it's a single chart). It doesn't use the shared module. Fine. Now let me focus on the two review files specifically and check whether the `.pa-prod-analysis` selector matches. Confirmed: buttons `class="pa-prod-analysis" data-analysis="..."` inside `.pa-prod-dash`. The `selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]'` — matches. However! Important nuance: the shared module default `getOrCreatePanel` looks for `button.closest('.pa-prod-card')`. In the template, buttons are within `.pa-prod-card`. Good. But there is one subtle bug in the shared module code with the pager buttons? no. Now, another angle: In produtividade-dashboard.js, `bindUiActions` binds click on buttons only when the shared module global exists. Wait — actually the module's bind does the click binding at bind time. So the bind happens at DOMContentLoaded after init; the buttons exist at that point (template rendered server-side). Good. Now consider dynamic chart containers: pager doesn't re-render buttons, charts are re-rendered only. Buttons remain in DOM. Good. Consider scenario where reload hides analysis buttons and panels get removed on reload (setAnalysisVisible false → remove panels). After data reload, buttons visible again and clickable, module still bound via delegated listener on each button directly with dataset flag. On click, `getOrCreatePanel(button, key)` will create a new panel because old removed. Works. Now the last: Does the panel append position conflict with pager/layout? Old code appended panel to card; new same. Not regression. Now the shared module sets `button.dataset.adrianaAnalysisBound = '1'` on each button, binding a direct click listener on each. But note there are also buttons that are hidden (hidden attribute). Still fine. Let me also double check `ANALYSIS_CHART_ID` includes a key not used in the template? Template has data-analysis keys: produtividade-tempo, entregas-projeto, entregas-equipe, prod-vs-ausencias. All present in ANALYSIS_CHART_ID map. Good. Wait, but hold on — new bind passes `chartMap: ANALYSIS_CHART_ID`. In module, `const chartId = chartMap[key]`, where key = button's data-analysis e.g., 'produtividade-tempo' → chart id 'chart-produtividade-tempo'. Then URL `/people-analytics/api/produtividade/chart/chart-produtividade-tempo/ai-analysis`. The old code used same mapping: `fetch(`${API_BASE}/chart/${encodeURIComponent(chartId)}/ai-analysis` ...)`. Same URL. Good. Now what are the real differences between old request and new one that could matter: 1. Old: `credentials: 'same-origin'` with fetch — same-origin cookies always sent by default; jQuery sends cookies too. Same. 2. Old: If `json.success !== true`, throws error with `json.error`. New module: on done, if `json.success !== true`, reject with error from json.error or json.message. Same. 3. Old: `.catch(notify + console.error)`. New: render error in panel. Actually new behavior renders error panel inside the card, which is arguably better UX; but old showed a toast. Now errors from backend (e.g., "Erro ao processar análise: ...") render inside panel - fine. Actually wait: on error, new module logs to console and renders the panel error, but no toast. Not a bug. 4. Old: default loading text "Gerando..."; new loading label sets to config.loadingText or 'Gerando...', and restores via originalAnalysisLabel on completion. In old, after finishing, label returns to 'Gerar Análise' hardcoded. In new module, restores to stored original label, which is the button text 'Gerar Análise'. Fine. One subtle issue: In new module's setButtonLoading, `button.disabled = isLoading`, and label query `button.querySelector('.pa-prod-analysis__label') || button.querySelector('span')`. The produtividade button contains an img and a span with class pa-prod-analysis__label. OK. Potential real issue in module: When panel contains an old error/analysis and a new request fails (e.g., network), loading continues. Fine. Now another possible regression: **the old `requestAnalysis` would show a toast (`notify`) with error**, whereas new one renders the error in the panel, and logs console.error. But if panel is null (button not within a .pa-prod-card), it just logs. Fine. Now what about the fact the shared module binds click listener on each button directly but does NOT use event delegation — if the dashboard is reloaded or buttons re-rendered after bind? On this page buttons are server-rendered once. Fine. Now, issue #4 (duplicate binds) — not applicable here; bindUiActions invoked once. Now let me decide which comments to leave. Comments to leave: 1. **produtividade-dashboard.js**: dead code remains: `escapeHtml` (line 163) and `notify` (line 1294) unused now. Medium/low maintainability. Also `getAnalysisPanel` remains used by setAnalysisVisible, so keep. Actually wait, need to double check that `escapeHtml` truly has no other usage. Search matched only line 163. It's used nowhere else → dead. And notify only at 1294 → dead. Report as low. 2. **produtividade-dashboard.js**: silent skip when `window.PeopleAnalytics.AdrianaChartAnalysis` missing — buttons stop working without any console.warn; suggest adding else logging or fallback. Severity: low (module is loaded in the only consumer template, ordered before). Could still occur on script failure. I'd report medium? The review plan marks it high, but actual context reduces it to low because the template loads it. I'll report low-medium. Given "comentário direto" and priority about regressions, I'd phrase: "Se o script compartilhado não carregar ... os botões de análise ficam mudos sem nenhum aviso." severity low/medium. Actually, careful — a real functional regression: The module is wrapped in jQuery. If a page loads `produtividade-dashboard.js` from a place that doesn't also load adriana module (only one consumer so fine). So low severity, medium is defensible. I'll set severity "low" or "medium"? Let's be objective: single consumer, same template includes it before, so likely always present. Only risk is failure of script resource loading (CDN/jquery). I'll rate "low". 3. **template**: no issue. The template change just adds the script tag. Verify ordering: adriana module before produtividade module - correct since produtividade bind requires the global to exist at DOMContentLoaded... wait, actually binding occurs during DOMContentLoaded (init) not at script parse. Even if the module script came after, by DOMContentLoaded it would be defined. Order doesn't strictly matter here because init is on DOMContentLoaded after all scripts loaded. But fine anyway. One thing: in the template, the script tag with cache buster `?v=now date`. Fine. Actually, let me reconsider a potential issue in the module regarding **jQuery ajax CSRF / 419** if the app's security requires CSRF token. But the endpoint controller doesn't validate CSRF. So fine. 4. Another possible real issue: module uses `$.ajax` with `contentType: 'application/json'` and serializes data JSON. Old fetch did same with Content-Type application/json. Good. Wait, there's a subtle behavior difference: old fetch didn't set Accept header? It did set Accept application/json. jQuery sets Accept to application/json by default with dataType json. OK. Now, possible **duplicate click binding after a re-init**: Suppose user navigates within produtividade (turbo? no). Not relevant. Let me check `window.PeopleAnalytics.ProdutividadeDashboard.init` only triggered once. Yes. Let me also verify there's no second consumer of the produtividade dashboard JS via includes from other templates (e.g., a modal preview of the dashboard). Search for asset('js/people-analytics/modules/produtividade-dashboard.js') found only produtividade_dashboard template. Fine. Now let me check the possibility that `produtividade-dashboard.js` also runs on `chart_detail.html.twig` (i.e., analysis individual) — no. OK let's finalize comments: Comment 1 (produtividade-dashboard.js, low): Missing-else fallback/log when shared module not present → silent dead buttons. Suggest adding console.warn else branch. Actually should we treat as an actual issue? Yes: report low. Wait — Actually, I need to double check: is it possible the button's click was also handled elsewhere now? No. So if the module's absent, buttons dead. However, since the dashboard module also **hides** analysis buttons until data loaded, users would notice. Eh. Comment 2 (produtividade-dashboard.js, low maintainability): dead code `escapeHtml` and `notify`. Comment 3: Should I comment on the CSS classes of the panel not being present on the dashboard? Let's verify that `.pa-prod-analysis-panel` styles exist in the dashboard CSS (produtividade-dashboard.css). Because previously, produtividade dashboard already used these classes (renderAnalysisResult produced them). The dashboard template previously... hmm, was there any analysis panel markup in the produtividade page before? The old code created the panel dynamically, so CSS classes `pa-prod-analysis-panel` needed to exist in the CSS for produtividade. Search CSS for pa-prod-analysis-panel to see if styles exist in produtividade css. Let me search CSS.
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{"search_text": "pa-prod-analysis-panel"}
File: public/css/people_analytics/produtividade-dashboard.css
Match lines: 10
510|.pa-prod-analysis-panel {
519|.pa-prod-analysis-panel__header {
526|.pa-prod-analysis-panel__avatar {
536|.pa-prod-analysis-panel__eyebrow {
543|.pa-prod-analysis-panel h4 {
550|.pa-prod-analysis-panel__summary {
557|.pa-prod-analysis-panel__section {
562|.pa-prod-analysis-panel__section strong {
568|.pa-prod-analysis-panel__section ul {
574|.pa-prod-analysis-panel__section li + li {

File: public/js/people-analytics/modules/adriana-chart-analysis.js
Match lines: 6
24|      <div class="pa-prod-analysis-panel__section">
39|      panel.className = 'pa-prod-analysis-panel';
72|      <div class="pa-prod-analysis-panel__header">
73|        <img src="/images/ia_images/adriana.png" alt="Adriana" class="pa-prod-analysis-panel__avatar">
75|          <span class="pa-prod-analysis-panel__eyebrow">Análise da Adriana</span>
79|      ${analysis.summary ? `<p class="pa-prod-analysis-panel__summary">${escapeHtml(analysis.summary)}</p>` : ''}

File: public/js/people-analytics/modules/attraction-retention-dashboard.js
Match lines: 6
1386|      panel.className = 'pa-prod-analysis-panel';
1396|    return '<div class="pa-prod-analysis-panel__section">' +
1407|      '<div class="pa-prod-analysis-panel__header">' +
1408|        '<img src="/images/ia_images/adriana.png" alt="Adriana" class="pa-prod-analysis-panel__avatar">' +
1410|          '<span class="pa-prod-analysis-panel__eyebrow">Análise da Adriana</span>' +
1414|      (analysis.summary ? '<p class="pa-prod-analysis-panel__summary">' + escapeHtml(analysis.summary) + '</p>' : '') +

File: public/js/people-analytics/modules/cost-analysis-dashboard.js
Match lines: 6
1273|      panel.className = 'pa-prod-analysis-panel';
1283|    return '<div class="pa-prod-analysis-panel__section">' +
1294|      '<div class="pa-prod-analysis-panel__header">' +
1295|        '<img src="/images/ia_images/adriana.png" alt="Adriana" class="pa-prod-analysis-panel__avatar">' +
1297|          '<span class="pa-prod-analysis-panel__eyebrow">Análise da Adriana</span>' +
1301|      (analysis.summary ? '<p class="pa-prod-analysis-panel__summary">' + escapeHtml(analysis.summary) + '</p>' : '') +

File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 1
288|      panel.className = 'pa-prod-analysis-panel';

File: public/js/people-analytics/modules/saude-organizacional-dashboard.js
Match lines: 6
617|      panel.className = 'pa-prod-analysis-panel';
629|      <div class="pa-prod-analysis-panel__section">
642|      <div class="pa-prod-analysis-panel__header">
643|        <img src="/images/ia_images/adriana.png" alt="Adriana" class="pa-prod-analysis-panel__avatar">
645|          <span class="pa-prod-analysis-panel__eyebrow">Análise da Adriana</span>
649|      ${analysis.summary ? `<p class="pa-prod-analysis-panel__summary">${escapeHtml(analysis.summary)}</p>` : ''}

code_search
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{"search_text": "escapeHtml|notify", "use_perl_regexp": true, "file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"]}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 2
163|  function escapeHtml(value) {
1294|  function notify(msg) {

Request #12 deepseek-v4-flash P:42.04K C:2.84K CR:41.09K CW:0 23935ms
Reasoning
CSS for `pa-prod-analysis-panel` exists in produtividade CSS (was there before). Interesting: other dashboards (saude-organizacional, cost-analysis, attraction-retention) still embed their own analysis functions — this PR only refactored produtividade dashboard. That's a "duplicate logic" concern that's broader: the shared module was created and only one module migrated. But the PR scope is produtividade dashboard + analise individual bugfix. Not something to flag as a problem in the current diff. Actually the module has other modules with identical logic (attraction, cost, saude) — the shared module consolidates. But those files aren't changed in this PR. The instructions say comments must target code within review files. produtividade-dashboard.js's own removal to shared module is good dedupe. The fact other modules keep duplicate logic is out of scope and unchanged. Now confirm escapeHtml in produtividade-dashboard.js truly dead: matches at line 163 definition only; no callers. notify at 1294 definition only; no callers. Both dead after this PR. This is a legit low-priority cleanup issue introduced by the diff (functions left orphaned). Actually wait — check whether `escapeHtml` used to be called from heatmap building or anywhere at lines after 163? The regex search found only the definition. So yes orphaned. However, I should double check that `escapeHtml` might be referenced in setLoading / error overlays via a variable named differently? No. Now let's think if there is a genuine bug of higher priority worth reporting regarding these diffs. Consider again the **produtividade dashboard + individual analysis bugfix**: Wait, this PR is a bugfix for individual analysis (member). Why would produtividade dashboard be refactored to use the shared module? That is part of commit 0be18a2555 "refactor(people-analytics): centralize Adriana chart analysis" — out of the bugfix scope? Well, it was within the branch. The `produtividade` module requests go to `/people-analytics/api/produtividade/chart/{id}/ai-analysis`. For the produtividade dashboard, the backend filters include `periodo`? Wait the actual important change: `ChartAiAnalysisService` now short-circuits to `insufficientDataResponse` when data is insufficient (quality_flags contains empty_data or missing_dimensions, or derivedMetrics empty). This means on produtividade module, if the chart has data, it sends to DeepSeek; if empty data, returns insufficient. Fine. But here's a subtle possible regression on the **produtividade dashboard**: The new `hasInsufficientData` short-circuit returns success with `ai_analysis` already containing "Dados insuficientes". The new shared module renders that as normal analysis. Fine. Wait — could the produtividade chart ids like 'chart-produtividade-tempo' resolve fine? They map to chart resolvers for module produtividade. Unchanged. Now think about **load heatmap module behavior**: When data is empty (quality flag empty_data), old code still called DeepSeek; now it returns insufficient data response. That is the intended new backend behavior for all modules, presumably intended to save costs. It is a backend behavior change; but review scope covers only JS and template. Yet the review plan says to evaluate contract. The concern about "gráficos com dados reais eram enviados à IA como vazios" is exactly what they fix. So this new behavior is the fix. No comment. Now one more thing: The produtividade dashboard's `bindUiActions` passes `getFilters` that returns `currentFilters`, which by default includes `periodo` (e.g. 'este-mes') because init sets `currentFilters.periodo` from the select. So filters include periodo → start_date/end_date derived. Good. Now let me think about a real bug in the new flow for the produtividade dashboard related to the **CSRF**: Other dashboards (saude etc.) presumably use jQuery ajax without CSRF and endpoint doesn't require CSRF. Fine. Now what about `ANALYSIS_CHART_ID` 'prod-vs-ausencias': maps to 'chart-prod-vs-ausencias-tempo'. OK. Let me now also verify `bind` runs before buttons possibly not yet present? Buttons are in the server-rendered HTML (they are rendered, but with `hidden` until data loads?). Actually they're rendered without hidden attribute in HTML? Looking at template, buttons don't have `hidden`. init calls setDashboardLoading which hides them until load completes. The bind in init: `bindUiActions()` runs and binds clicks to all buttons including hidden ones; later reveal keeps listener. OK. Now check whether panel creation uses `key` in data-analysis-panel attribute and CSS; fine. Let me now consider that in the shared module, on error (e.g., insufficient data? no, that's success) `renderError` sets innerHTML to warning, but **loading state** setButtonLoading(button, false) at finally restores original label. OK. Now here's a subtle possible bug in shared module (not in produtividade scope though but shared code is not part of review files!). The shared module isn't in the review group; it's in other_changed_files. We cannot comment on it directly (must target files within review_files). But we could comment on produtividade-dashboard.js referencing its own concern about contract? We need comments on lines within the review files. Given that, the strongest legit comments about the review files: 1. produtividade-dashboard.js lines ~1197-1208: silent fallthrough when shared module absent → buttons dead; add an `else { console.warn(...) }`. Severity low/medium. Actually wait — consider the risk more carefully. In production, if `adriana-chart-analysis.js` is not deployed yet (race between HTML template and JS asset deploy) — but they deploy together. If the file fails to load due to network (unlikely for same-origin asset), buttons dead. Also if any other page reuses produtividade-dashboard.js in the future without the shared script, it breaks silently. Given code review standards, flagging with low severity is reasonable. It is precisely a "regressão silenciosa de funcionalidade" risk. 2. dead code `escapeHtml`/`notify` — low. 3. Duplicate-panel/`bindUiActions` not re-executed on partial reloads? Actually fine. 4. What about the removal of `setAnalysisLoading` that used `document.querySelector([data-analysis])`? New module uses the same button for loading, so fine. Now the template file: the new `<script>` addition is fine, but I could flag that adriana-chart-analysis.js now becomes a hard dependency, and produtividade-dashboard.js will silently no-op if missing; but that's comment #1 essentially. For the template, the change is a single line adding script; nothing to flag. Wait, but one more check for the template: is `adriana-chart-analysis.js` a new file in this PR, so adding it to produtividade template makes the page depend on jQuery's `$.ajax`. jQuery loaded in layout head before these scripts run (content block at bottom). OK. Now also double-check script ordering: template line 357 loads adriana module and 358 loads produtividade module. Both execute immediately; adriana defines `window.PeopleAnalytics.AdrianaChartAnalysis` at parse time. produtividade module is an IIFE registering only on DOMContentLoaded. And the template's own DOMContentLoaded listener calls `.init()` at line 361-368 registered after the modules? The inline script at the bottom registers the listener; by DOMContentLoaded both modules loaded. Everything fine. Actually — subtle timing: `produtividade-dashboard.js` IIFE executes immediately but only defines functions and `window.PeopleAnalytics.ProdutividadeDashboard = { init, reload }`. It runs at parse; `init()` invoked later by DOMContentLoaded. But modules execute at script load which happens before DOMContentLoaded events fire for listeners registered earlier... The DOMContentLoaded listener is registered by the inline script at the end of the page (after DOM is parsed). All scripts loaded before that. Fine. So the main produtividade JS comment: silent dead buttons if shared module not available. But actually, wait. Let me reconsider whether the issue is real at a higher severity: The shared module also relies on `jQuery`, and produtividade-dashboard.js previously used only `fetch`. If jQuery **fails to load** (external?), jquery is local asset (AdminLTE plugins jquery.min.js). Not external. Good. Now — I want to double-check: does the produtividade dashboard page get rendered inside layoutUser for non-managers? layoutUser loads jQuery in head too. Good. Let me also reconsider the earlier "getFilters returns currentFilters". The bind happens once at init, but `getFilters` is a closure evaluated on each click → always current. Good. Now the biggest real bug candidate that we can pinpoint inside review file produtividade-dashboard.js? Let me compare old removed code and new bind for **behavioral difference in data-analysis panel for 'produtividade-tempo' when chart is missing data** — setAnalysisVisible hides the button. OK. Let's also check `destroyChart` and pager. Not relevant. Now check `reloadAll` calls `setDashboardLoading` which hides analysis buttons each reload and calls `setAnalysisVisible(key,false)` → which calls `getAnalysisPanel(key,false)` and removes panel; then when data loaded, buttons show again; panels gone — but the shared module keeps a `dataset.adrianaAnalysisBound = '1'` on buttons; new click creates new panel again — fine. Now, one more subtle thing about the shared module bind code (not review file) though — can't comment. Hmm, but we can tie to produtividade? The contract point: shared module reads `json.ai_analysis`; but for produtividade backend when hasInsufficientData returns the ai_analysis includes extra keys; rendering is fine. And for success case, does the produtividade ai-analysis return `ai_analysis` with the fields key_insights, projections, attention_points, recommended_actions, limitations? For produtividade charts the deepseek response parsing presumably returns those. The old code's renderAnalysisResult expected key_insights, attention_points, recommended_actions, limitations. New adds projections rendering; if missing, empty list no output. OK. Alright. Let me also verify the module used to render avatar `/images/ia_images/adriana.png` same path used before (old code path). yes. Potential issue: `renderAnalysis` in shared module escapes analysis.title but not `analysis.summary`? It escapes summary. Yes both escaped. List items escaped. header text is static. So safe. So final comments: A. (produtividade-dashboard.js) low/medium: When shared module absent, no log/fallback → silent dead analysis buttons. Suggest `else console.warn`. B. (produtividade-dashboard.js) low: orphaned `escapeHtml` (line 163) and `notify` (line 1294) remain unused after removing the embedded analysis flow. Dead code in a 1322-line file. Should I also add a comment about the `getAnalysisPanel`? It's still used at line 275 for hiding. Keep. Hmm, also there's `renderError`/notify usage change? `notify` dead. What severity for A? I'd say low/medium. But per the checklist priority #2 "Contrato quebrado com o backend" and #1 "dead code"... Let me think about whether module-absent scenario could actually happen: The template includes the module before produtividade-dashboard.js. So under normal operations, the module is there. It's a defensive/robustness point. I'll set severity low. Given the priority about regressions, maybe medium? I'll set "low" for honesty because the only current consumer is wired. Hmm but consider production deployment cache-busting: both template asset versioning and file existence; if someone opens produtividade-dashboard.js from a template not updated (only one template). Ok low. Wait — but there is ANOTHER consumer possibility: print-report? No. Let me also reconsider: could the produtividade dashboard page be embedded inside another page via include (modals)? Let me search where produtividade_dashboard template is rendered. Possibly rendered as main page only. Search references in controllers. Let's check quickly for includes of produtividade_dashboard template.
Tool Calls (2)
code_search
Show Details
{"search_text": "produtividade_dashboard"}
File: docs/engineering/pr/new_staging2/PR_arquivos_new_staging2.txt
Match lines: 1
1589|A	templates/people_analytics/produtividade_dashboard.html.twig

File: docs/engineering/pr/new_staging2/PR_impacto_new_staging2.txt
Match lines: 1
1589| .../produtividade_dashboard.html.twig              |  370 ++

File: src/Controller/Api/PeopleAnalytics/ProdutividadeController.php
Match lines: 1
87|    #[Route('/dashboard-data', name: 'people_analytics_api_produtividade_dashboard_data', methods: ['GET'])]

File: src/Controller/PeopleAnalyticsController.php
Match lines: 1
154|            'produtividade'          => 'people_analytics/produtividade_dashboard.html.twig',

File: src/Service/PeopleAnalytics/ProdutividadeDashboardDataService.php
Match lines: 1
10| * Centraliza o payload usado pelo template people_analytics/produtividade_dashboard.html.twig

File: tests/Unit/Product/PeopleAnalyticsDashboardFilesTest.php
Match lines: 1
195|                'people_analytics/produtividade_dashboard.html.twig',

file_read
Show Details
{"end_line": 520, "file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 500}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 500-520
500|          }
501|        });
502|      });
503|  }
504|
505|  // =====================================================================
506|  // 1) PRODUTIVIDADE AO LONGO DO TEMPO – LINE
507|  // =====================================================================
508|  function loadProdutividadeTempo(filters) {
509|    const el = document.getElementById('chart-produtividade-tempo');
510|    if (!el || !window.Highcharts) return Promise.resolve();
511|    setLoading(el);
512|
513|    return fetchEndpoint('/grafico/linha-tempo', filters)
514|      .then((data) => {
515|        console.debug('[Produtividade] linha-tempo:', data);
516|        const labels  = (data && data.labels) || [];
517|        const dataset = (data && data.datasets && data.datasets[0]) || null;
518|        const values  = dataset ? dataset.data || [] : [];
519|
520|        if (labels.length === 0 || isEffectivelyEmpty(values)) {
Request #13 deepseek-v4-flash P:45.45K C:325 CR:44.8K CW:0 2688ms
Reasoning
The produtividade_dashboard.html.twig is used only in PeopleAnalyticsController for 'produtividade'. Since the template that renders this controller action includes the adriana module script, the module-absent scenario is essentially impossible currently. So the "silent regression" issue is more a future-proofing / maintainability concern (low). I'll frame accordingly and make it concise. Now let me reflect again on what else might matter in produtividade-dashboard.js diff: Diff removed functions: - setAnalysisLoading - renderAnalysisList - renderAnalysisResult - requestAnalysis And bind now calls the shared module. Any leftover references to removed functions in remaining code? Search for `setAnalysisLoading`, `renderAnalysisList`, `renderAnalysisResult`, `requestAnalysis` in the file.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "setAnalysisLoading|renderAnalysisList|renderAnalysisResult|requestAnalysis", "use_perl_regexp": true}
No matches found
file_read_diff
Show Details
{"path_array": ["public/js/people-analytics/modules/adriana-chart-analysis.js"]}
==== FILE: public/js/people-analytics/modules/adriana-chart-analysis.js ====
diff --git a/public/js/people-analytics/modules/adriana-chart-analysis.js b/public/js/people-analytics/modules/adriana-chart-analysis.js
new file mode 100644
--- /dev/null
+++ b/public/js/people-analytics/modules/adriana-chart-analysis.js
@@ -0,0 +1,180 @@
+/**
+ * Shared Adriana chart analysis helper for People Analytics dashboards.
+ * Keeps request, loading state and result rendering consistent across modules.
+ */
+(function ($) {
+  'use strict';
+
+  window.PeopleAnalytics = window.PeopleAnalytics || {};
+
+  const DEFAULT_SELECTOR = '.pa-prod-analysis[data-analysis]';
+  const DEFAULT_QUESTION = 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.';
+
+  function escapeHtml(value) {
+    const div = document.createElement('div');
+    div.textContent = value == null ? '' : String(value);
+    return div.innerHTML;
+  }
+
+  function renderList(title, items) {
+    const cleanItems = Array.isArray(items) ? items.filter(Boolean) : [];
+    if (cleanItems.length === 0) return '';
+
+    return `
+      <div class="pa-prod-analysis-panel__section">
+        <strong>${escapeHtml(title)}</strong>
+        <ul>
+          ${cleanItems.map((item) => `<li>${escapeHtml(item)}</li>`).join('')}
+        </ul>
+      </div>`;
+  }
+
+  function getOrCreatePanel(button, key) {
+    const card = button && button.closest('.pa-prod-card');
+    if (!card) return null;
+
+    let panel = card.querySelector(`[data-analysis-panel="${key}"]`);
+    if (!panel) {
+      panel = document.createElement('div');
+      panel.className = 'pa-prod-analysis-panel';
+      panel.setAttribute('data-analysis-panel', key);
+      card.appendChild(panel);
+    }
+
+    return panel;
+  }
+
+  function setButtonLoading(button, isLoading, loadingText) {
+    if (!button) return;
+
+    if (typeof window.setButtonLoading === 'function') {
+      window.setButtonLoading(button, isLoading, loadingText || 'Gerando...');
+      return;
+    }
+
+    button.disabled = isLoading;
+    button.classList.toggle('is-loading', isLoading);
+
+    const label = button.querySelector('.pa-prod-analysis__label') || button.querySelector('span');
+    if (!label) return;
+
+    if (!button.dataset.originalAnalysisLabel) {
+      button.dataset.originalAnalysisLabel = label.textContent;
+    }
+
+    label.textContent = isLoading ? (loadingText || 'Gerando...') : button.dataset.originalAnalysisLabel;
+  }
+
+  function renderAnalysis(panel, analysis) {
+    if (!panel) return;
+
+    panel.innerHTML = `
+      <div class="pa-prod-analysis-panel__header">
+        <img src="/images/ia_images/adriana.png" alt="Adriana" class="pa-prod-analysis-panel__avatar">
+        <div>
+          <span class="pa-prod-analysis-panel__eyebrow">Análise da Adriana</span>
+          <h4>${escapeHtml(analysis.title || 'Análise do gráfico')}</h4>
+        </div>
+      </div>
+      ${analysis.summary ? `<p class="pa-prod-analysis-panel__summary">${escapeHtml(analysis.summary)}</p>` : ''}
+      ${renderList('Principais insights', analysis.key_insights)}
+      ${renderList('Projeções', analysis.projections)}
+      ${renderList('Pontos de atenção', analysis.attention_points)}
+      ${renderList('Ações recomendadas', analysis.recommended_actions)}
+      ${renderList('Limitações', analysis.limitations)}
+    `;
+  }
+
+  function renderError(panel, message) {
+    if (!panel) return;
+
+    panel.innerHTML = `
+      <div class="alert alert-warning mb-0">
+        <strong>Não foi possível gerar a análise.</strong><br>
+        ${escapeHtml(message || 'Tente novamente em alguns instantes.')}
+      </div>
+    `;
+  }
+
+  function requestAnalysis(options, chartId) {
+    const module = options.module;
+    const filters = typeof options.getFilters === 'function' ? options.getFilters() : {};
+    const question = typeof options.getQuestion === 'function'
+      ? options.getQuestion(chartId)
+      : (options.question || DEFAULT_QUESTION);
+
+    return new Promise((resolve, reject) => {
+      $.ajax({
+        url: `/people-analytics/api/${encodeURIComponent(module)}/chart/${encodeURIComponent(chartId)}/ai-analysis`,
+        method: 'POST',
+        dataType: 'json',
+        contentType: 'application/json',
+        headers: {
+          'X-Requested-With': 'XMLHttpRequest',
+        },
+        data: JSON.stringify({
+          filters: filters || {},
+          question: question,
+        }),
+      })
+        .done((json) => {
+          if (!json || json.success !== true) {
+            reject(new Error((json && (json.error || json.message)) || 'Resposta inválida do servidor'));
+            return;
+          }
+
+          resolve(json.ai_analysis || {});
+        })
+        .fail((jqXHR) => {
+          const response = jqXHR.responseJSON || {};
+          reject(new Error(response.error || response.message || ('HTTP ' + jqXHR.status)));
+        });
+      });
+  }
+
+  function bind(options) {
+    const config = options || {};
+    const chartMap = config.chartMap || {};
+    const selector = config.selector || DEFAULT_SELECTOR;
+
+    if (!config.module) {
+      console.warn('[AdrianaAnalysis] module não informado.');
+      return;
+    }
+
+    $(selector).each(function () {
+      const button = this;
+      if (button.dataset.adrianaAnalysisBound === '1') return;
+      button.dataset.adrianaAnalysisBound = '1';
+
+      $(button).on('click', function (event) {
+        event.preventDefault();
+
+        const key = button.getAttribute('data-analysis');
+        const chartId = chartMap[key];
+        const panel = getOrCreatePanel(button, key);
+
+        if (!chartId) {
+          renderError(panel, 'Este botão ainda não possui um gráfico vinculado para análise.');
+          return;
+        }
+
+        setButtonLoading(button, true, config.loadingText || 'Gerando...');
+
+        requestAnalysis(config, chartId)
+          .then((analysis) => renderAnalysis(panel, analysis))
+          .catch((error) => {
+            console.error('[AdrianaAnalysis] análise falhou:', error);
+            renderError(panel, error.message);
+          })
+          .finally(() => setButtonLoading(button, false));
+      });
+    });
+  }
+
+  window.PeopleAnalytics.AdrianaChartAnalysis = {
+    bind: bind,
+    request: requestAnalysis,
+    renderAnalysis: renderAnalysis,
+  };
+})(jQuery);
Request #14 deepseek-v4-flash P:47.51K C:7.78K CR:45.7K CW:0 58547ms
Reasoning
Now let me verify the diff was fully shown (180 new lines) - yes, full file. And produtividade-dashboard.js has no leftover references to removed functions. Dead functions remain: escapeHtml (163), notify (1294). Are they truly unused? search shows single definition lines. Now, the interesting part: **In the shared module, the URL** used is `/people-analytics/api/${module}/chart/${chartId}/ai-analysis`. In the old code for produtividade, it was `API_BASE` = `/people-analytics/api/produtividade` + `/chart/{id}/ai-analysis`. Same. Good. Wait — jQuery's `$.ajax` with `contentType: 'application/json'`: When you pass `data` as a string already JSON-stringified, jQuery won't process further; content-type is set. OK. One more potential difference: jQuery $.ajax **will fail to parse the `dataType: 'json'` if response isn't valid JSON** — fine. Now let me think about possible regression around **filters payload**: In old produtividade `requestAnalysis`, `filters: currentFilters || {}`. New bind getFilters returns `currentFilters || {}`. Same. There's one meaningful difference though — **the old code included `credentials: 'same-origin'`, `Accept: application/json`** etc. Fine. So the two legit issues for review files are rather low. Let me also check template change once more for the god template rule: the template change only adds a script tag. Fine. Now let me consider one more potential real bug: In `bindUiActions`, the code only calls bind if the shared module exists at that moment. If dashboard JS loads before the shared module file (ordering reversed on some future template), buttons dead. In the current template ordering is adriana (line 357) BEFORE produtividade (line 358), so fine. Another subtle bug: In the template, adriana-chart-analysis.js is included with the cache-busting `?v=`; the file is **new in this PR** (ADDED). If deployed to an environment where adriana module isn't yet deployed (branch mismatch across servers), produtividade buttons dead. That's an ops concern; not relevant. OK let me decide final comments to add. Comment 1 — produtividade-dashboard.js, bindUiActions: add else warn fallback (low). Code snippet from diff added lines: ``` if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { window.PeopleAnalytics.AdrianaChartAnalysis.bind({ ``` I can suggest code: ``` if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { ... } else { console.warn('[Produtividade] Módulo AdrianaChartAnalysis não carregado; botões de análise IA inativos.'); } ``` Comment 2 — produtividade-dashboard.js dead code: escapeHtml & notify. Anchor on the region? The removed lines are deleted; we need to anchor on added lines only. Wait — the `code_comment` tool requires existing_code to be newly added lines in the diff text. But escapeHtml and notify are NOT newly added lines — they're unchanged lines! The tool requires matching "newly added code lines". Hmm. The instructions say: "existing_code: Code snippet used to locate comment position. Only return newly added code lines, should not include deleted code or unchanged code lines." The dead-code finding is about unchanged lines (escapeHtml at 163 and notify at 1294) which became dead due to removals in the diff. Since comment must attach to newly added lines, I'd need to anchor on the newly-added bind block in bindUiActions, and mention that escapeHtml/notify are now orphaned as a result of removing the functions above. This fits since the removal is directly related to this addition. The anchor block: ``` if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { window.PeopleAnalytics.AdrianaChartAnalysis.bind({ module: 'produtividade', ``` I'll anchor dead-code comment there too, but better to keep one comment with two concerns? Better separate comments. But code_comment tool wants existing_code uniquely positioned. I can anchor comment 2 to the module bind line too but combining two comments on same lines may be messy. Alternatively attach dead code comment to a different added line such as `selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]',`? Hmm, but the more natural: attach comment 2 to the whole added block, or combine into one comment: mention both silent failure and dead code? Better keep distinct but same anchor region may produce overlapping comments, which might be acceptable. Let me choose different anchors: Comment 1 (silent no-op): anchor on: ``` if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { window.PeopleAnalytics.AdrianaChartAnalysis.bind({ ``` Comment 2 (dead code): anchor on: ``` selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]', getFilters: function () { return currentFilters || {}; }, ``` Wait that same block is the whole added bind. The two comments would sit close but that's ok. Actually, maybe merge: I'll leave dead-code comment with a pointer to escapeHtml/notify. Use code lines unique from bind block: - `selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]',` line. Hmm. The same underlying code block being changed — overlapping. I could also anchor comment 2 on template? No — dead code is in JS. Fine, use two separate comment anchors within the bind block, spaced apart. Wait, does code_comment allow multiple comments each with its own existing_code within same file? Yes, it's a list. But maybe only one of the two is worth reporting? Both are legit. Let me also weigh severity: per user rules, "Achado de estilo puro sem efeito real deve ser curto e prioridade baixa". Dead code is maintainability low. Silent no-op is robustness low-medium. I'll report both. Should I also raise a medium for "duplicar listener"? Not applicable since bindUiActions only runs once; and module has dataset guard. Skip. Should I raise a comment about "the shared module now requires jQuery, changing the page's dependency"? Could mention in silent-failure comment as supporting evidence (module IIFE executes at load; if jQuery absent, it throws and analysis buttons stay dead). That's a real detail worth mentioning: The whole feature now depends on the shared module loading without error, which requires global jQuery. Since jQuery is loaded by layout, low. Hmm — but wait: Is there any page that renders produtividade template without layout jQuery? Template extends layoutAdmin or layoutUser; both load jQuery. Fine. Let me also double check whether the shared module is used by other pages on this PR via chart_detail? No, chart_detail has its own inline implementation. Fine. Now maybe there's another more impactful finding in produtividade-dashboard.js I should not miss: The bind's click handler uses `event.preventDefault()` — these are `<button type="button">`, no default action; harmless. Also, `setButtonLoading` disables the button; if loading is triggered, and the user switches filters causing a reload that hides analysis button (setAnalysisVisible false → disabled/hidden) while a request is in-flight; the .finally runs when done → setButtonLoading(button,false) re-enables the button even though data reload would hide it; but reload also sets hidden. Actually reload after filter change calls setDashboardLoading → setAnalysisVisible(key,false) sets disabled true, hidden true. But the in-flight AI request from old filter completes later and re-enables button and shows panel even though new chart data hasn't loaded. The button would be re-enabled but hidden... `hidden` attr remains. When data loads, setAnalysisVisible(true) shows. But panel with old analysis data for previous filter remains in card (panel not removed since visibility was just false then true re-shows and would keep panel?). Wait when setAnalysisVisible(false) removes the panel (line 274-277). Then setAnalysisVisible(true) just unhides. So stale analysis panel removed on reload. But the in-flight old request resolving after removal creates a new panel and renders old analysis in it while the charts have been re-rendered with new filters → mismatched analysis vs chart. This same behavior existed before this PR (the old requestAnalysis also rendered after reload) — actually old code had same panel-removal logic; the old .finally also would re-enable & render result. So not a regression introduced. Skip. Also, now `escapeHtml` in the dashboard was used only by removed functions. But `notify` was maybe used elsewhere previously? It seems only requestAnalysis called notify. Both orphaned. Good. Let me also confirm `getAnalysisPanel` still referenced at 275 and 280 — keep, used. Also removed `setAnalysisLoading` — no other callers; fine. Now template: anything else to comment? The new script tag placement at line 357 relies on shared file existing. No comment needed beyond JS comment. Let me now double check that `.pa-prod-dash` wraps everything and `.pa-prod-analysis` buttons are descendants. From template read: `<div class="zero-padding pa-prod-dash modern-layout" data-module="{{ module }}">` at line 16 wraps the whole content. Buttons are descendants. Selector matches. Now, since the module uses direct binding with `$(selector).each` and attaches listeners at init only. `setDashboardLoading` runs at init after bind (reloadAll called at end of init → setLoading, setAnalysisVisible false). Buttons hidden until load completes; fine. Let me consider accessibility and duplicate elements: none. One more possible **real regression**: In old produtividade code, `renderAnalysisResult` looked up the panel via the module-local `getAnalysisPanel` keyed by `data-analysis` key and appended inside `card` after `.pa-prod-card__foot`. New module `getOrCreatePanel(button, key)` also appends inside card. Same DOM. But there is one difference: old `renderAnalysisResult` **overwrote** `panel.innerHTML` (same panel element). New module also uses same panel element but it's created per card and keyed by data-analysis-panel attr = key. Same. But wait: pager charts share card? For 'entregas-projeto' and 'entregas-equipe', each has its own card, key unique. Fine. Alright. Also consider the diff changed `bindUiActions` from iterating `[data-analysis]` and attaching listeners to using shared module. The listeners are no longer attached if module missing → **BUT** the buttons also no longer cause uncaught errors. OK. Now severity calibrations: - Silent no-op: I'd set **low**. Actually review instructions from user emphasize regressão silenciosa; I'll keep low but mention clear. Hold on. Let me reconsider a bigger regression that exists but hidden: The removed `requestAnalysis` used `fetch`, thus **did not depend on jQuery**. The new shared module uses `$.ajax`. On the produtividade page, jQuery is present. So no regression. And because the adriana module script executes immediately and requires jQuery global; but jQuery is present on both layouts. OK. Let me now also check whether layoutUser/layoutAdmin load jQuery **before** the `javascripts` block content (which appears where?). Typically `{% block javascripts %}` is in the layout near end of body, after parent's scripts in the head. jQuery in head (line 120 in layoutAdmin is in head? hard to tell). Many AdminLTE layouts put jQuery in head at top. Let me confirm it's in head: In layoutAdmin line 120, likely within head. In layoutUser line 127-136 likely in head too. These are loaded before body's block javascripts → jQuery exists when produtividade scripts execute. Fine. So we don't have a jQuery ordering bug. OK final: 2 comments. Wait, one more thought on **comment scope discipline**: Comment content must be concise and per mandatory format: first sentence plain Portuguese impact, then why it matters, then what to do. Avoid starting with technical jargon. Comment 1 (silent dead buttons): "Se o módulo compartilhado de análise não estiver carregado (falha de rede, deploy parcial ou página futura que reutilize este JS sem o script novo), os botões de 'Gerar Análise' ficam mudos: o bloco `if` simplesmente não registra o clique e não há nenhum log, o que torna a perda de funcionalidade invisível. Antes esse fluxo estava embutido aqui e sempre funcionava. Sugiro registrar um `console.warn` no `else` (ou manter um fallback) para que a ausência do módulo seja detectável." Severity: low. Category: bug? It's a robustness/maintainability concern, could be "bug" (latent). I'll pick category "bug"? The guidelines: if issue confirmed use code_comment with category. I'd mark "maintainability" low? Hmm. The actual possible functional impact... I'd use "bug" with low severity? I'll use category "bug" only if real bug. Since only consumer loads the module, no immediate failure. I'll pick category "maintainability" severity low? But this may underrepresent. The plan called it high; but based on evidence only one consumer and ordering correct → likely fine. I'll set severity low, category "maintainability". Hmm, or medium? I'll go with low severity but category "bug" maybe too strong. I'll choose "maintainability" for the defensive log... Actually the tool category enum: bug, security, performance, maintainability, test, style, documentation, other. For dead code: maintainability. For missing fallback/log: it's a robustness concern → "bug" latent risk. I'll classify silent dead buttons as "bug" severity "low". Comment 2 (dead code): "Após a remoção do fluxo de análise embutido, `escapeHtml` e `notify` ficaram sem nenhuma chamada restante no arquivo (só as definições). Neste arquivo já grande, isso é ruído para quem for ler e pode dar a falsa ideia de que o dashboard ainda usa esse caminho. Remova as duas funções órfãs." Severity low, maintainability. Anchor for comment 2: I need added lines. Maybe anchor on `getFilters: function () {` block? It's all the same added block, but the tool matches consecutive added lines - I need to give snippet that exists in the added diff. The added lines block: ``` + if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { + window.PeopleAnalytics.AdrianaChartAnalysis.bind({ + module: 'produtividade', + chartMap: ANALYSIS_CHART_ID, + selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]', + getFilters: function () { + return currentFilters || {}; + }, + question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.', + }); + } ``` For comment 1 anchor: `if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {` For comment 2 anchor: ` question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.',` Both within same added block, fine. Actually, maybe better combine both into one comment? They are distinct issues. I'll make two entries in the comments list with different anchors. Wait — re-examine whether notify truly unused. Maybe `notify` used by other modules? It's local to produtividade IIFE. Search matched only definition at 1294 in that file. Yes orphaned. EscapeHtml: In produtividade file, only line 163 (definition). Orphaned. But hold on: are there other sections of produtividade-dashboard.js that use escapeHtml indirectly, e.g. `setEmpty(el, message)`? They interpolate `message` directly into innerHTML (line 248) without escapeHtml. So escapeHtml not used. OK. I should maybe also verify that `notify` wasn't referenced from print-report or templates... notify is internal to the IIFE, not exposed. Orphaned indeed. Now, is there any issue with removing these? None functional; the low comment. Now let's think about whether to also comment about **god template** / **file size**: produtividade-dashboard.js is 1322 lines; user priority says flag if file is already huge and PR adds responsibilities. This PR actually *reduces* lines in the JS and centralizes. So no need to flag increase. However the dead code increases noise. Fine. Template: 371 lines; adding only script line; no concern. Should we double-check the `produtividade_dashboard.html.twig` adding the module script but the CSS? panel CSS already present. Good. Let me make sure that the two review files each got "their own pass" — yes: - produtividade-dashboard.js: deep dive. - produtividade_dashboard.html.twig: single-line addition; verified ordering & jQuery presence & only consumer. Also cross-file observation: the shared module requests to the same endpoint; the backend chartAiAnalysis accepts json; contract consistent (filters/question; response {success, ai_analysis}); and no CSRF was required previously; still not required. So no comment. One more nuance worth double-checking: old fetch request set `credentials: 'same-origin'`. jQuery `$.ajax` sends cookies for same-origin by default → yes. And the session cookie needed for auth is SameSite? fine. Now, we must produce final comment text in pt-BR following mandatory format: first sentence simple language, direct. Then detail. Let me carefully craft comments, keeping concise. Comment A content: "Se o arquivo novo de análise por IA não carregar, os botões 'Gerar Análise' deste dashboard ficam sem clique e sem nenhum aviso no console. Isso é uma regressão silenciosa: antes o fluxo vivia neste mesmo arquivo e sempre funcionava, e agora ele depende de `window.PeopleAnalytics.AdrianaChartAnalysis` estar definido no momento do bind. Como hoje só a `produtividade_dashboard.html.twig` carrega esse JS e na ordem correta, o risco é baixo, mas qualquer falha de script ou novo consumidor sem o include deixa a tela quebrada sem diagnóstico. Adicione um `console.warn` no `else` (ou um fallback) para tornar a ausência detectável." Good. Comment B content: "Depois da remoção do fluxo de análise embutido, `escapeHtml` e `notify` sobraram sem nenhuma chamada no arquivo (aparecem só as definições, nas linhas ~163 e ~1294). Neste arquivo já extenso, código morto dificulta a leitura e sugere que o dashboard ainda usa esse caminho antigo. Remova as duas funções." Wait — instructions say "first sentence ... sem jargão" - "escapeHtml e notify sobraram sem uso" is ok, that's a dev-facing but simple. Fine; detail technical after the simple description. I'd better reorder: "Após tirar a análise embutida deste arquivo, ficaram duas funções que ninguém mais chama (escapeHtml e notify agora têm apenas a definição, sem nenhum uso). Num arquivo com mais de 1300 linhas isso vira ruído de leitura e esconde o que ainda está vivo. Remova as duas funções órfãs." Better starts with impact: "Duas funções ficaram órfãs..." hmm. OK. Severity and category for B: low/maintainability. Let me also weigh adding comment about template dependency ordering being required — the JS module-absent comment covers it. Should I add any comment about **the removed requestAnalysis in produtividade dropping `credentials: 'same-origin'`**? No difference. Let me also consider one thing: in shared module, URL path constructed uses `module` from config 'produtividade', and chart id uses ANALYSIS_CHART_ID values that differ from DOM chart ids in some cases ('chart-volume-entregas' for entregas-projeto vs DOM id 'chart-entregas-projeto'). Did the old code use same map? yes ANALYSIS_CHART_ID existed before unchanged. OK. Edge: `prod-vs-ausencias` key: chart id 'chart-prod-vs-ausencias-tempo'... backend resolver for module produtividade must handle that id. If the old fetch used same, unchanged. Alright, finalize with two comments. Let me anchor precisely with diff added lines. For comment A existing_code: ``` if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { window.PeopleAnalytics.AdrianaChartAnalysis.bind({ module: 'produtividade', chartMap: ANALYSIS_CHART_ID, ``` I must reproduce exactly as it appears in the diff (indentation as in file). In the file, added lines indentation appears with 4 spaces? The diff shows: ``` + if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { + window.PeopleAnalytics.AdrianaChartAnalysis.bind({ + module: 'produtividade', + chartMap: ANALYSIS_CHART_ID, ``` But the file_read line numbers show lines 1197-1199 with indentation. In the file itself (non-diff), functions inside IIFE are indented 2 spaces? Wait file_read showed: ``` 1197| function bindUiActions() { 1198| if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { 1199| window.PeopleAnalytics.AdrianaChartAnalysis.bind({ ``` So actual content: two spaces before `if`, four before `window.PeopleAnalytics...bind`. The diff shows lines prefixed by `+` followed by the content as in file (spaces preserved from the diff display - in the diff they appear with `+` then a space? Actually unified diff adds a leading space after +/-; content retains original indentation). The content after `+` is ` if ...`? Let me carefully check original diff text: ``` + if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { + window.PeopleAnalytics.AdrianaChartAnalysis.bind({ + module: 'produtividade', ``` Given the file read shows the same with two leading spaces, the diff representation might show an extra two spaces? The tool probably reproduces text with the +/- markers followed by the exact line content. In the earlier diff for bind section: ``` - document.querySelectorAll('[data-analysis]').forEach((btn) => { - btn.addEventListener('click', () => requestAnalysis(btn.getAttribute('data-analysis'))); - }); + if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { + window.PeopleAnalytics.AdrianaChartAnalysis.bind({ ``` Since old file content also had two-space indentation for `document.querySelectorAll` under function body, and the removed lines show `- document...` with 4 leading spaces in display. The display likely includes the leading space after +/- marker plus actual line content which starts with 2 spaces → shows `+ if...` (4 spaces after +). Wait that means actual line content has 2 spaces + `if`? Then display `+` + ` ` (marker space) + ` if...` = `+ if...`? Eh. Whatever — I should copy the snippet directly from the diff lines exactly as shown in the user message, which includes the marker? No — existing_code should NOT include the +/- markers; just the code line content as it appears in the diff. From diff text, after `+`, content is ` if (window.PeopleAnalytics...` — but is the first char a space from marker? In unified diff, format is: marker (+/-/space) then content. The diff block printed in our message includes `+ if ...` — that's marker `+` then content ` if`? That would mean content indentation is 4 spaces. But file_read shows 2-space indentation at 1198. Contradiction? Actually file_read output prefixes line number + `|` + content; content at line 1198 shows two spaces. In the diff hunk of the user message, the hunk is `@@ ... @@ function bindUiActions() {` region near line 1197. It displayed `+ if (...)`? Let me re-read user diff snippet: ``` function bindUiActions() { - document.querySelectorAll('[data-analysis]').forEach((btn) => { - btn.addEventListener('click', () => requestAnalysis(btn.getAttribute('data-analysis'))); - }); + if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { + window.PeopleAnalytics.AdrianaChartAnalysis.bind({ + module: 'produtividade', + chartMap: ANALYSIS_CHART_ID, + selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]', + getFilters: function () { + return currentFilters || {}; + }, + question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.', + }); + } ``` The context line ` function bindUiActions() {` (with a leading space for context) shows content ` function bindUiActions() {` (2 spaces indent). The removed lines `- document...` = content ` document...`? no wait content would be 4-space? Hmm: context marker ` ` + ` function` = ` function` (1 marker + 2 spaces). Removed line `- document.querySelectorAll` = marker `-` + content. In the display there are 4 characters after `-`: " document". If content indent were 2 spaces, display would be `- document`. But we see `- document` (marker + 4 spaces + text). So content indent = 4 spaces? But file_read at bind function shows lines 1210-1212 in the current file: ``` 1210| document.querySelectorAll('[data-pager-action]').forEach((btn) => { ``` That line is NOT part of diff. In current file at line 1198: ` if (window.PeopleAnalytics...`? Wait file_read showed: ``` 1198| if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { 1199| window.PeopleAnalytics.AdrianaChartAnalysis.bind({ 1200| module: 'produtividade', ``` file_read output "1198|" followed by two spaces? The raw text after `|` is ` if ...`? In the tool output above: `1198| if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {` — After `|`, it shows " if". Wait, count characters: "1198| if". There appear to be 3 spaces before `if`? The line number 1198 (4 digits) + `|` + then ` if` (4 spaces). Hmm inconsistent with my earlier glance. Actually the indentation in these JS files: functions inside the IIFE at top-level are indented 2 spaces (e.g., `function buildQuery` at column?). Look at file_read line 87: ` function buildQuery(filters) {` - two spaces. And line 1197 ` function bindUiActions() {` - two spaces. Inside function body, statements are indented 4 spaces. So `if` at line 1198 = 4 spaces indent, and inner lines 6 spaces, etc. So the displayed content after marker should match the diff (`+ if` = content with 4 spaces). Yes consistent: context display includes an extra leading space from marker but content column counts as is. For existing_code we need the actual content lines including their indentation, i.e. exactly the text as in the diff after the +/- marker, excluding the marker. Given uncertainty, safest is to copy the lines verbatim from the diff display, removing the leading `+` but keeping the spaces that follow. Since the diff shows `+ if ...`, content = ` if ...` (4 spaces). file_read confirms line content with 4 spaces after |. Great. For module question line: ` question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.',` (8 spaces). file_read line 1206 shows ` question: ...`? The diff snippet shows + followed by 8 spaces then "question". In the file: line 1206 after "|" shows ` question: 'Explique os principais...'` with 8 spaces. OK. Now produce final code_comment call with these two comments, then task_done. Let me draft final content in proper pt-BR. Comment A: existing_code: ``` if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { window.PeopleAnalytics.AdrianaChartAnalysis.bind({ ``` (Indentation per file 4 spaces for if, 6 for bind? Wait need exact match. Let me recompute from file_read text: The tool's file output for line 1198: `1198| if ...` — after `|` we have ` if` — 4 spaces. But careful: file_read format is `LINE_RANGE` style: `<line>|<content>`. There's no extra space after | beyond content's own. So content = ` if (window.PeopleAnalytics...` (4 spaces). And line 1199 `1199| window.PeopleAnalytics...` → content 6 spaces. Matches diff `+ window.PeopleAnalytics...` after removing `+` we have ` window...` (6 spaces). Yes consistent. Now write the snippet accordingly with 4-space + 6-space indentation. But wait — in bind function body (function declared with 2-space indent), statements are at 4 spaces; `if` inside function at 4 spaces; its body `window...bind` at 6 spaces. Yes. Suggestion code for A: ``` } else { console.warn('[Produtividade] Módulo AdrianaChartAnalysis indisponível: botões de análise IA ficarão inativos.'); } ``` Hmm, suggestion_code should be code snippet to replace? It's an "add else". Provide snippet that completes the block? It's tricky to replace since else must attach after the closing `}` of the if. The comment suggestion may represent an added block following. But matching tool may replace the provided existing_code with suggestion? The description: suggestion_code - "Corresponding suggested code snippet". Not necessarily full replacement. To be safe provide suggested addition text but not full context. Better to keep suggestion simple or omit. I'll omit suggestion_code for A, since replacement context is complex, but that's optional. Actually providing suggestions is optional. Keep concise. Comment B existing_code: use the question line: ``` question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.', ``` That's an added line. Content about dead code escapeHtml/notify. Category for A: "bug"; severity "low". Category for B: "maintainability"; severity "low". Let me finalize. Also ensure final message summarizing before calling task_done (not needed). Then call task_done. Wait, should I include a medium severity comment about module-absent being high risk? I decided low. Given template is the only consumer and it's loaded; plus jQuery present in layout. Low. Let me write final code comments.
Revisei os dois arquivos do grupo e o contexto relacionado (módulo compartilhado, template único consumidor, endpoint e layouts). Resumo do que encontrei: - O template `produtividade_dashboard.html.twig` agora inclui `adriana-chart-analysis.js` antes de `produtividade-dashboard.js` e é o único consumidor desse JS — a ordem e o carregamento estão corretos, e o jQuery está disponível nos dois layouts. - O seletor `.pa-prod-dash .pa-prod-analysis[data-analysis]` casa com os botões reais do template (todos dentro de `.pa-prod-dash` e `.pa-prod-card`). - O payload `{filters, question}` e a resposta `{success, ai_analysis}` continuam compatíveis com o endpoint alterado. - `bindUiActions()` roda uma única vez no `init`, e o módulo compartilhado tem guarda de re-bind — sem risco de duplicar requisições neste dashboard. - Restam dois pontos de atenção no JS: ausência silenciosa do módulo compartilhado e funções órfãs após a remoção.
Tool Calls (1)
code_comment
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{"comments": [{"content": "Se o módulo compartilhado de análise não estiver disponível no momento do bind (falha ao baixar o script, deploy parcial ou uma página futura que reutilize este JS sem incluir o arquivo novo), os botões de 'Gerar Análise' ficam sem listener e sem nenhum log — perda de funcionalidade silenciosa. Hoje o único consumidor inclui o script na ordem certa, então o risco é baixo, mas qualquer falha de carregamento deixa a tela quebrada sem diagnóstico. Adicione um `console.warn` no `else` desse `if` (ou um fallback) para que a ausência do módulo seja detectável.", "existing_code": "    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {\n      window.PeopleAnalytics.AdrianaChartAnalysis.bind({", "path": "public/js/people-analytics/modules/produtividade-dashboard.js", "category": "bug", "severity": "low"}, {"content": "Após a remoção do fluxo de análise embutido, duas funções ficaram sem nenhuma chamada no arquivo: `escapeHtml` (linha ~163) e `notify` (linha ~1294) agora têm apenas a definição. Num arquivo com mais de 1300 linhas isso vira ruído de leitura e dá a falsa impressão de que o caminho antigo ainda é usado. Remova as duas funções órfãs.", "existing_code": "        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.',", "path": "public/js/people-analytics/modules/produtividade-dashboard.js", "category": "maintainability", "severity": "low"}]}
(async)
Request #15 deepseek-v4-flash P:55.3K C:334 CR:55.17K CW:0 3112ms
Reasoning
Both comments placed. Now confirm the template file got its own pass — done; single-line script include is correct and complete. Conclude with task_done.
Concluí a revisão dos dois arquivos do grupo. **`public/js/people-analytics/modules/produtividade-dashboard.js`** — passagem completa: a delegação para o módulo compartilhado mantém o contrato com o endpoint (mesma URL, mesmo payload `{filters, question}`, mesma resposta `{success, ai_analysis}`), o seletor casa com os botões reais do template e `bindUiActions()` roda uma única vez no `init`, sem duplicação de listeners. Foram sinalizados: ausência silenciosa do módulo compartilhado (botões mortos sem log) e funções órfãs (`escapeHtml`, `notify`) deixadas para trás pela remoção. **`templates/people_analytics/produtividade_dashboard.html.twig`** — passagem completa: a inclusão do script compartilhado é o único consumidor conhecido de `produtividade-dashboard.js`, está na ordem correta (antes do módulo que faz o bind) e o jQuery exigido pelo módulo compartilhado é carregado pelos layouts pai. Sem achados adicionais.
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task_done
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{"state": "DONE"}
Request #16 deepseek-v4-flash P:8.58K C:294 CR:2.69K CW:0 2228ms
Reasoning
Let me start by understanding the code changes. There are two files in the review group: 1. `public/js/people-analytics/modules/produtividade-dashboard.js` - Removes analysis functions and delegates to a shared module `window.PeopleAnalytics.AdrianaChartAnalysis.bind(...)`. 2. `templates/people_analytics/produtividade_dashboard.html.twig` - Adds the new script `adriana-chart-analysis.js`. Let me read the changed files to get context, and also look at the new module file to confirm the contract (bind API signature). Let me first look at the produtividade-dashboard.js file to understand context, particularly around lines where code was removed/added.
Tool Calls (2)
file_read
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{"file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 1, "end_line": 120}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 1-120
1|/**
2| * People Analytics – Produtividade Dashboard
3| *
4| * Integração 100% com o back-end existente em:
5| *   /people-analytics/api/produtividade/*
6| *
7| * Fonte principal:
8| *   GET /people-analytics/api/produtividade/dashboard-data
9| *
10| * As rotas específicas continuam como fallback/compatibilidade.
11| *
12| * Sem dados mockados. Todo widget tem loading / empty / error.
13| *
14| * Versão: integrada-com-back (2026-05-25)
15| */
16|(function () {
17|  'use strict';
18|
19|  // Sinaliza no console que esta é a versão integrada com o back-end
20|  console.info('[Produtividade] dashboard carregado – integração real com o back (sem mocks).');
21|
22|  window.PeopleAnalytics = window.PeopleAnalytics || {};
23|
24|  // =====================================================================
25|  // CONFIG GERAL
26|  // =====================================================================
27|  const API_BASE = '/people-analytics/api/produtividade';
28|
29|  function resolveBrandColors() {
30|    const root = document.documentElement;
31|    const css = (name) => getComputedStyle(root).getPropertyValue(name).trim();
32|    return {
33|      teal:     css('--app-brand-primary-emphasis') || '#006B78',
34|      tealLine: css('--app-brand-primary') || '#2EA8B5',
35|      tealSoft: css('--company-theme1-100') || '#DDF1F4',
36|      orange:   '#F59E0B',
37|      red:      '#EF4444',
38|      green:    '#117a40',
39|      gray:     '#8a8f99',
40|      grayLine: '#D9E1E5',
41|      text:     '#1F2933',
42|      text2:    '#6B7280',
43|    };
44|  }
45|
46|  const COLORS = resolveBrandColors();
47|
48|  // Mapeamento entre o título do KPI (vindo do back) e o slot visual (card)
49|  // no template (data-kpi-key). A ordem fixa do back é:
50|  //   0 Produtividade do Período
51|  //   1 Produtividade da Empresa
52|  //   2 Entregas
53|  //   3 Horas Trabalhadas
54|  //   4 Ausências
55|  //   5 Engajamento
56|  const KPI_TITLE_TO_KEY = {
57|    'Produtividade do Período':  'goal-progress',
58|    'Produtividade da Empresa':  'company-productivity',
59|    'Entregas':                  'deliveries',
60|    'Entregas Concluídas':       'deliveries',
61|    'Horas Trabalhadas':         'worked-hours',
62|    'Ausências':                 'absences',
63|    'Taxa de Ausências':         'absences',
64|    'Engajamento':               'engagement',
65|    'Engajamento Operacional':   'engagement',
66|  };
67|
68|  let currentFilters = {};
69|  const chartRegistry = new Map();
70|  let dashboardDataCache = null;
71|  let dashboardDataCacheKey = null;
72|  const pagerState = {
73|    'entregas-projeto': { page: 0, pageSize: 5, total: 0, payload: null },
74|    'entregas-equipe': { page: 0, pageSize: 5, total: 0, payload: null },
75|  };
76|
77|  const ANALYSIS_CHART_ID = {
78|    'produtividade-tempo': 'chart-produtividade-tempo',
79|    'entregas-projeto': 'chart-volume-entregas',
80|    'entregas-equipe': 'chart-entregas-equipe',
81|    'prod-vs-ausencias': 'chart-prod-vs-ausencias-tempo',
82|  };
83|
84|  // =====================================================================
85|  // HELPERS - HTTP
86|  // =====================================================================
87|  function buildQuery(filters) {
88|    const params = new URLSearchParams();
89|    Object.keys(filters || {}).forEach((key) => {
90|      const raw = filters[key];
91|      if (raw == null || raw === '') return;
92|      const values = Array.isArray(raw) ? raw : [raw];
93|      const clean = values.filter((v) => v !== '' && v != null);
94|      if (clean.length === 0) return;
95|      params.append(key, clean.join(','));
96|    });
97|    const qs = params.toString();
98|    return qs ? '?' + qs : '';
99|  }
100|
101|  function fetchEndpoint(endpoint, filters) {
102|    const cacheKey = buildQuery(filters);
103|    const cachedData = getCachedDashboardSlice(endpoint, cacheKey);
104|    if (cachedData !== undefined) {
105|      return Promise.resolve(cachedData);
106|    }
107|
108|    const url = API_BASE + endpoint + buildQuery(filters);
109|    return fetch(url, {
110|      method: 'GET',
111|      credentials: 'same-origin',
112|      headers: {
113|        'Accept': 'application/json',
114|        'X-Requested-With': 'XMLHttpRequest',
115|      },
116|    })
117|      .then((res) => {
118|        if (!res.ok) {
119|          const err = new Error('HTTP ' + res.status);
120|          err.status = res.status;
file_read_diff
Show Details
{"path_array": ["public/js/people-analytics/modules/adriana-chart-analysis.js"]}
==== FILE: public/js/people-analytics/modules/adriana-chart-analysis.js ====
diff --git a/public/js/people-analytics/modules/adriana-chart-analysis.js b/public/js/people-analytics/modules/adriana-chart-analysis.js
new file mode 100644
--- /dev/null
+++ b/public/js/people-analytics/modules/adriana-chart-analysis.js
@@ -0,0 +1,180 @@
+/**
+ * Shared Adriana chart analysis helper for People Analytics dashboards.
+ * Keeps request, loading state and result rendering consistent across modules.
+ */
+(function ($) {
+  'use strict';
+
+  window.PeopleAnalytics = window.PeopleAnalytics || {};
+
+  const DEFAULT_SELECTOR = '.pa-prod-analysis[data-analysis]';
+  const DEFAULT_QUESTION = 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.';
+
+  function escapeHtml(value) {
+    const div = document.createElement('div');
+    div.textContent = value == null ? '' : String(value);
+    return div.innerHTML;
+  }
+
+  function renderList(title, items) {
+    const cleanItems = Array.isArray(items) ? items.filter(Boolean) : [];
+    if (cleanItems.length === 0) return '';
+
+    return `
+      <div class="pa-prod-analysis-panel__section">
+        <strong>${escapeHtml(title)}</strong>
+        <ul>
+          ${cleanItems.map((item) => `<li>${escapeHtml(item)}</li>`).join('')}
+        </ul>
+      </div>`;
+  }
+
+  function getOrCreatePanel(button, key) {
+    const card = button && button.closest('.pa-prod-card');
+    if (!card) return null;
+
+    let panel = card.querySelector(`[data-analysis-panel="${key}"]`);
+    if (!panel) {
+      panel = document.createElement('div');
+      panel.className = 'pa-prod-analysis-panel';
+      panel.setAttribute('data-analysis-panel', key);
+      card.appendChild(panel);
+    }
+
+    return panel;
+  }
+
+  function setButtonLoading(button, isLoading, loadingText) {
+    if (!button) return;
+
+    if (typeof window.setButtonLoading === 'function') {
+      window.setButtonLoading(button, isLoading, loadingText || 'Gerando...');
+      return;
+    }
+
+    button.disabled = isLoading;
+    button.classList.toggle('is-loading', isLoading);
+
+    const label = button.querySelector('.pa-prod-analysis__label') || button.querySelector('span');
+    if (!label) return;
+
+    if (!button.dataset.originalAnalysisLabel) {
+      button.dataset.originalAnalysisLabel = label.textContent;
+    }
+
+    label.textContent = isLoading ? (loadingText || 'Gerando...') : button.dataset.originalAnalysisLabel;
+  }
+
+  function renderAnalysis(panel, analysis) {
+    if (!panel) return;
+
+    panel.innerHTML = `
+      <div class="pa-prod-analysis-panel__header">
+        <img src="/images/ia_images/adriana.png" alt="Adriana" class="pa-prod-analysis-panel__avatar">
+        <div>
+          <span class="pa-prod-analysis-panel__eyebrow">Análise da Adriana</span>
+          <h4>${escapeHtml(analysis.title || 'Análise do gráfico')}</h4>
+        </div>
+      </div>
+      ${analysis.summary ? `<p class="pa-prod-analysis-panel__summary">${escapeHtml(analysis.summary)}</p>` : ''}
+      ${renderList('Principais insights', analysis.key_insights)}
+      ${renderList('Projeções', analysis.projections)}
+      ${renderList('Pontos de atenção', analysis.attention_points)}
+      ${renderList('Ações recomendadas', analysis.recommended_actions)}
+      ${renderList('Limitações', analysis.limitations)}
+    `;
+  }
+
+  function renderError(panel, message) {
+    if (!panel) return;
+
+    panel.innerHTML = `
+      <div class="alert alert-warning mb-0">
+        <strong>Não foi possível gerar a análise.</strong><br>
+        ${escapeHtml(message || 'Tente novamente em alguns instantes.')}
+      </div>
+    `;
+  }
+
+  function requestAnalysis(options, chartId) {
+    const module = options.module;
+    const filters = typeof options.getFilters === 'function' ? options.getFilters() : {};
+    const question = typeof options.getQuestion === 'function'
+      ? options.getQuestion(chartId)
+      : (options.question || DEFAULT_QUESTION);
+
+    return new Promise((resolve, reject) => {
+      $.ajax({
+        url: `/people-analytics/api/${encodeURIComponent(module)}/chart/${encodeURIComponent(chartId)}/ai-analysis`,
+        method: 'POST',
+        dataType: 'json',
+        contentType: 'application/json',
+        headers: {
+          'X-Requested-With': 'XMLHttpRequest',
+        },
+        data: JSON.stringify({
+          filters: filters || {},
+          question: question,
+        }),
+      })
+        .done((json) => {
+          if (!json || json.success !== true) {
+            reject(new Error((json && (json.error || json.message)) || 'Resposta inválida do servidor'));
+            return;
+          }
+
+          resolve(json.ai_analysis || {});
+        })
+        .fail((jqXHR) => {
+          const response = jqXHR.responseJSON || {};
+          reject(new Error(response.error || response.message || ('HTTP ' + jqXHR.status)));
+        });
+      });
+  }
+
+  function bind(options) {
+    const config = options || {};
+    const chartMap = config.chartMap || {};
+    const selector = config.selector || DEFAULT_SELECTOR;
+
+    if (!config.module) {
+      console.warn('[AdrianaAnalysis] module não informado.');
+      return;
+    }
+
+    $(selector).each(function () {
+      const button = this;
+      if (button.dataset.adrianaAnalysisBound === '1') return;
+      button.dataset.adrianaAnalysisBound = '1';
+
+      $(button).on('click', function (event) {
+        event.preventDefault();
+
+        const key = button.getAttribute('data-analysis');
+        const chartId = chartMap[key];
+        const panel = getOrCreatePanel(button, key);
+
+        if (!chartId) {
+          renderError(panel, 'Este botão ainda não possui um gráfico vinculado para análise.');
+          return;
+        }
+
+        setButtonLoading(button, true, config.loadingText || 'Gerando...');
+
+        requestAnalysis(config, chartId)
+          .then((analysis) => renderAnalysis(panel, analysis))
+          .catch((error) => {
+            console.error('[AdrianaAnalysis] análise falhou:', error);
+            renderError(panel, error.message);
+          })
+          .finally(() => setButtonLoading(button, false));
+      });
+    });
+  }
+
+  window.PeopleAnalytics.AdrianaChartAnalysis = {
+    bind: bind,
+    request: requestAnalysis,
+    renderAnalysis: renderAnalysis,
+  };
+})(jQuery);
Request #17 deepseek-v4-flash P:12K C:1.3K CR:8.83K CW:0 9513ms
Reasoning
Now let me read more context in the produtividade-dashboard.js around the changes. Also, let me verify the module file's `bind` contract used in produtividade-dashboard.js matches the module API. Let me check `$.ajax` usage — the module uses jQuery's `$.ajax`. Note the module takes a `question` string or `getQuestion` function. In the produtividade-dashboard.js code, it calls: ```js window.PeopleAnalytics.AdrianaChartAnalysis.bind({ module: 'produtividade', chartMap: ANALYSIS_CHART_ID, selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]', getFilters: function () { return currentFilters || {}; }, question: '...', }); ``` Now the module's `requestAnalysis` builds URL: `/people-analytics/api/${module}/chart/${chartId}/ai-analysis`. Module produtividade API base is `/people-analytics/api/produtividade`. So this matches. The old code fetched `${API_BASE}/chart/${chartId}/ai-analysis` where API_BASE = '/people-analytics/api/produtividade'. Same. Good. Now check that selector matches DOM. Let me search in the template file for the buttons with data-analysis class, and check the panel creation and placement. Also check that chart_detail.html.twig updated similarly? chart_detail.html.twig is in other files, not in review group. Let me read the template file to see the markup structure for the analysis buttons, `.pa-prod-analysis` and data-analysis. Also check the removed functions: escapeHtml and notify are now unused (confirmed finding already noted #2). We shouldn't repeat. Let's confirm the confirmed findings and not repeat them. We should look for new issues. Potential issues to examine: 1. The new module adriana-chart-analysis.js is in the "other changed files" not review group. But the bind API call contract in produtividade-dashboard.js is within review group. We need to verify the contract: does bind exist with the params used? Yes. But there's a subtlety: module registers itself as `window.PeopleAnalytics.AdrianaChartAnalysis`. In produtividade-dashboard.js, bindUiActions checks `window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis`. This is the confirmed finding #1 already. 2. Check for duplicated `escapeHtml` etc. in produtividade-dashboard.js that are now dead (confirmed #2). 3. Check if `bind` is only called once when `bindUiActions` runs, and if bindUiActions is invoked on every filter change or on each render. If panels/charts get re-created, the bind selector uses `.pa-prod-dash .pa-prod-analysis[data-analysis]`. Since module marks `button.dataset.adrianaAnalysisBound = '1'`, it won't rebind if re-run on the same buttons. Fine. But does bindUiActions get invoked once at document load? Need to check. If buttons are re-rendered after DOM changes (dynamic content), the dataset flag prevents double-binding but if DOM nodes are re-created the new nodes lack listener. Let me examine the flow. Actually the buttons likely are static in template. Let's read the template. Let me read the template file and relevant JS around bindUiActions. Also potential issues: In the module, `requestAnalysis` returns a Promise. But if `$.ajax` is not available (jQuery not loaded?), `$.ajax` might throw. In the dashboard template, highcharts is loaded which usually requires jQuery? Actually highcharts can run standalone but also they load jQuery earlier probably. Another thing: The produtividade-dashboard.js previously used `fetch` with credentials same-origin. The new module uses jQuery `$.ajax`. CSRF? POST to AI-analysis endpoint - does the endpoint require CSRF? The previous fetch also didn't send CSRF. Backend probably uses `X-Requested-With` header check only, or CSRF disabled for API. Not new. Skip. Potential regression: chartMap keys mapping `'produtividade-tempo': 'chart-produtividade-tempo'`. Old code passed to backend the chartId = ANALYSIS_CHART_ID[key]. Same mapping now reused. The backend resolver maps chart ids. Fine. Let's examine the panel creation CSS class. The old code: panel created inside card with class `pa-prod-analysis-panel`; new module getOrCreatePanel is identical. Good. But wait — old code used `.pa-prod-card` closest for panel and appended. Same. Now what about the selector passed: `.pa-prod-dash .pa-prod-analysis[data-analysis]`. Let me check in template that button has class `pa-prod-analysis`? Let's read template markup around those buttons. Also, another subtle bug: In produtividade-dashboard.js bindUiActions, the code runs `window.PeopleAnalytics.AdrianaChartAnalysis.bind(...)` — the bind iterates current DOM. If bindUiActions is called before the buttons exist (e.g., called in an init before a dynamic render creates the cards), then buttons never get bound. Need to check when bindUiActions is called. Let me read the template and search for where bindUiActions is invoked in produtividade-dashboard.js.
Tool Calls (2)
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Show Details
{"file_path": "templates/people_analytics/produtividade_dashboard.html.twig", "start_line": 1, "end_line": 120}
File: templates/people_analytics/produtividade_dashboard.html.twig (Total lines: 371)
IS_TRUNCATED: false
LINE_RANGE: 1-120
1|{% extends (app.user and (app.user.isSuperAdmin() or app.user.isManager())) ? 'layoutAdmin.html.twig' : 'layoutUser.html.twig' %}
2|
3|{% block headercss %}
4|	<link rel="stylesheet" href="{{ asset('css/metahuman-standard.css') }}">
5|	<link rel="stylesheet" href="{{ asset('css/people_analytics/index.css') }}">
6|	<link rel="stylesheet" href="{{ asset('css/people_analytics/produtividade-dashboard.css') }}?v={{ 'now'|date('YmdHis') }}">
7|	<link rel="stylesheet" href="{{ asset('css/people_analytics/print-report.css') }}?v={{ 'now'|date('YmdHis') }}">
8|{% endblock %}
9|
10|{% block container %}
11|
12|{# Ícone da Adriana IA, o mesmo usado no header do layoutAdmin.html.twig #}
13|{% set userAvatar = asset('images/ia_images/adriana.png') %}
14|{% set userName = 'Adriana' %}
15|
16|<div class="zero-padding pa-prod-dash modern-layout" data-module="{{ module }}">
17|
18|	<div class="modern-header no-tabs">
19|		<div class="header-top">
20|			<a href="{{ path('people_analytics') }}" class="btn-back-link mr-2" title="Voltar para People Analytics" aria-label="Voltar">
21|				<i class="fas fa-chevron-left"></i>
22|			</a>
23|			<h1 class="header-title mb-0">Produtividade</h1>
24|		</div>
25|	</div>
26|
27|	<div class="modern-header-actions no-print" id="prod_dashboard_controls">
28|		<div class="d-flex align-items-center">
29|			<button type="button" class="mhs-btn-primary d-inline-flex align-items-center" id="btnExportReport">
30|				<i class="fas fa-download mr-2"></i>
31|				<span>Exportar Relatório</span>
32|			</button>
33|		</div>
34|		<div class="filters-container ml-auto d-flex align-items-center">
35|			<label class="pa-prod-period mb-0">
36|				<span class="pa-prod-period__label">Período analisado:</span>
37|				<span class="pa-prod-select">
38|					{# Valores correspondem aos aceitos pelo back (ProdutividadeController::extractFilters → 'periodo') #}
39|					<select id="prodPeriodSelect" aria-label="Período analisado">
40|						<option value="este-mes" selected>Este mês</option>
41|						<option value="mes-passado">Mês passado</option>
42|						<option value="ultimos-3-meses">Últimos 3 meses</option>
43|						<option value="este-trimestre">Este trimestre</option>
44|						<option value="ultimo-trimestre">Último trimestre</option>
45|						<option value="este-semestre">Este semestre</option>
46|						<option value="ultimo-semestre">Último semestre</option>
47|						<option value="este-ano">Este ano</option>
48|						<option value="ano-passado">Ano passado</option>
49|					</select>
50|					<i class="fas fa-chevron-down pa-prod-select__caret" aria-hidden="true"></i>
51|				</span>
52|			</label>
53|		</div>
54|	</div>
55|
56|	{# ============================================================
57|	   CONTEÚDO
58|	   ============================================================ #}
59|	<div class="pa-prod-dash__content">
60|
61|		{#
62|		   ---------- KPIs ----------
63|		   Os 6 cards são preenchidos pelo JS a partir de
64|		   GET /people-analytics/api/produtividade/kpis (mapeamento por data-kpi-key).
65|		   A "Leitura executiva" não tem endpoint dedicado; fica como texto
66|		   institucional fallback.
67|		#}
68|
69|		{# ---------- Linha 1: KPIs principais ---------- #}
70|		<div class="pa-prod-grid pa-prod-grid--kpi">
71|			{# Card 1 - Avanço da Meta de Produtividade → "Produtividade do Período" #}
72|			<div class="pa-prod-kpi" data-kpi-key="goal-progress">
73|				<div class="pa-prod-kpi__title">Avanço da Meta de Produtividade</div>
74|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…</div>
75|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
76|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
77|				</div>
78|			</div>
79|
80|			{# Card 2 - Produtividade da Empresa #}
81|			<div class="pa-prod-kpi" data-kpi-key="company-productivity">
82|				<div class="pa-prod-kpi__title">Produtividade da Empresa</div>
83|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…</div>
84|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
85|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
86|				</div>
87|			</div>
88|
89|			{# Card 3 - Horas Trabalhadas (valor já vem com sufixo "h" do back) #}
90|			<div class="pa-prod-kpi" data-kpi-key="worked-hours">
91|				<div class="pa-prod-kpi__title">Horas Trabalhadas</div>
92|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…</div>
93|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
94|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
95|				</div>
96|			</div>
97|
98|			{# Card 4 - Entregas #}
99|			<div class="pa-prod-kpi" data-kpi-key="deliveries">
100|				<div class="pa-prod-kpi__title">Entregas</div>
101|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…</div>
102|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
103|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
104|				</div>
105|			</div>
106|		</div>
107|
108|		{# ---------- Linha 2: KPIs secundários + Leitura executiva ---------- #}
109|		<div class="pa-prod-grid pa-prod-grid--kpi">
110|			{# Card 5 - Ausências #}
111|			<div class="pa-prod-kpi" data-kpi-key="absences">
112|				<div class="pa-prod-kpi__title">Ausências</div>
113|				<div class="pa-prod-kpi__value pa-prod-kpi__value--teal" data-kpi-value>…</div>
114|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
115|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
116|				</div>
117|			</div>
118|
119|			{# Card 6 - Engajamento #}
120|			<div class="pa-prod-kpi" data-kpi-key="engagement">
code_search
Show Details
{"search_text": "bindUiActions", "file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"]}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 2
1197|  function bindUiActions() {
1314|    bindUiActions();

Request #18 deepseek-v4-flash P:15.36K C:198 CR:13.18K CW:0 1643ms
Reasoning
Let me read around the analysis buttons in the template, and read around the produtividade-dashboard.js bindUiActions and init area at lines 1190-1322.
Tool Calls (2)
file_read
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{"file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 1180, "end_line": 1322}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 1180-1322
1180|    if (nextPage === state.page) {
1181|      updatePager(key);
1182|      return;
1183|    }
1184|
1185|    state.page = nextPage;
1186|
1187|    if (key === 'entregas-projeto') {
1188|      renderEntregasProjetoPage();
1189|    } else if (key === 'entregas-equipe') {
1190|      renderEntregasEquipePage();
1191|    }
1192|  }
1193|
1194|  // =====================================================================
1195|  // EVENTOS / FILTROS
1196|  // =====================================================================
1197|  function bindUiActions() {
1198|    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
1199|      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
1200|        module: 'produtividade',
1201|        chartMap: ANALYSIS_CHART_ID,
1202|        selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]',
1203|        getFilters: function () {
1204|          return currentFilters || {};
1205|        },
1206|        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Produtividade.',
1207|      });
1208|    }
1209|
1210|    document.querySelectorAll('[data-pager-action]').forEach((btn) => {
1211|      btn.addEventListener('click', () => {
1212|        const pager = btn.closest('[data-pager]');
1213|        const key = pager && pager.getAttribute('data-pager');
1214|        const direction = btn.getAttribute('data-pager-action') === 'prev' ? -1 : 1;
1215|        if (key) changePagerPage(key, direction);
1216|      });
1217|    });
1218|  }
1219|
1220|  function bindPeriodSelect() {
1221|    const select = document.getElementById('prodPeriodSelect');
1222|    if (!select) return;
1223|    select.addEventListener('change', () => {
1224|      const value = select.value;
1225|      currentFilters = Object.assign({}, currentFilters);
1226|      if (value) currentFilters.periodo = value;
1227|      else delete currentFilters.periodo;
1228|      reloadAll(currentFilters);
1229|    });
1230|  }
1231|
1232|  // Compatibilidade: se o filtro global do People Analytics disparar, recarrega tudo
1233|  function bindGlobalFilterListener() {
1234|    document.addEventListener('peopleAnalyticsGlobalFilterUpdate', (event) => {
1235|      const filters = (event && event.detail && event.detail.filters) || {};
1236|      currentFilters = Object.assign({}, currentFilters, filters);
1237|      reloadAll(currentFilters);
1238|    });
1239|  }
1240|
1241|  // =====================================================================
1242|  // RELOAD ALL
1243|  // =====================================================================
1244|  function reloadAll(filters) {
1245|    const f = filters || currentFilters || {};
1246|    const cacheKey = buildQuery(f);
1247|
1248|    dashboardDataCache = null;
1249|    dashboardDataCacheKey = null;
1250|    setDashboardLoading();
1251|
1252|    fetchEndpoint('/dashboard-data', f)
1253|      .then((payload) => {
1254|        dashboardDataCache = payload || {};
1255|        dashboardDataCacheKey = cacheKey;
1256|
1257|        loadKpis(f);
1258|        loadProdutividadeTempo(f);
1259|        loadEntregasProjeto(f);
1260|        loadEntregasEquipe(f);
1261|        loadHeatmap(f);
1262|        loadProdVsAusencias(f);
1263|      })
1264|      .catch((err) => {
1265|        console.error('[Produtividade] dashboard-data:', err);
1266|        dashboardDataCache = null;
1267|        dashboardDataCacheKey = null;
1268|
1269|        // Fallback: preserva compatibilidade com os endpoints individuais.
1270|        loadKpis(f);
1271|        loadProdutividadeTempo(f);
1272|        loadEntregasProjeto(f);
1273|        loadEntregasEquipe(f);
1274|        loadHeatmap(f);
1275|        loadProdVsAusencias(f);
1276|      });
1277|  }
1278|
1279|  function setDashboardLoading() {
1280|    setKpiLoading();
1281|    Object.keys(ANALYSIS_CHART_ID).forEach((key) => setAnalysisVisible(key, false));
1282|    [
1283|      'chart-produtividade-tempo',
1284|      'chart-entregas-projeto',
1285|      'chart-entregas-equipe',
1286|      'chart-heatmap',
1287|      'chart-prod-vs-ausencias',
1288|    ].forEach((id) => {
1289|      const el = document.getElementById(id);
1290|      if (el) setLoading(el);
1291|    });
1292|  }
1293|
1294|  function notify(msg) {
1295|    if (window.toastr && typeof window.toastr.info === 'function') {
1296|      window.toastr.info(msg);
1297|    } else {
1298|      console.info('[Produtividade]', msg);
1299|    }
1300|  }
1301|
1302|  // =====================================================================
1303|  // INIT
1304|  // =====================================================================
1305|  function init() {
1306|    if (!window.Highcharts) {
1307|      console.warn('[Produtividade] Highcharts não carregado.');
1308|      return;
1309|    }
1310|    // Período inicial a partir do select (se houver)
1311|    const select = document.getElementById('prodPeriodSelect');
1312|    if (select && select.value) currentFilters.periodo = select.value;
1313|
1314|    bindUiActions();
1315|    bindPeriodSelect();
1316|    bindGlobalFilterListener();
1317|    reloadAll(currentFilters);
1318|  }
1319|
1320|  window.PeopleAnalytics.ProdutividadeDashboard = { init, reload: reloadAll };
1321|})();
1322|
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{"file_patterns": ["templates/people_analytics/produtividade_dashboard.html.twig"], "search_text": "data-analysis"}
File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 4
157|				<button type="button" class="pa-prod-analysis" data-analysis="produtividade-tempo">
195|					<button type="button" class="pa-prod-analysis" data-analysis="entregas-projeto">
231|					<button type="button" class="pa-prod-analysis" data-analysis="entregas-equipe">
321|					<button type="button" class="pa-prod-analysis" data-analysis="prod-vs-ausencias">

Request #19 deepseek-v4-flash P:17.23K C:119 CR:15.49K CW:0 1431ms
Reasoning
Let me look at template around lines 140-240 to see structure of the analysis buttons and `.pa-prod-card`.
Tool Calls (1)
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{"end_line": 340, "file_path": "templates/people_analytics/produtividade_dashboard.html.twig", "start_line": 140}
File: templates/people_analytics/produtividade_dashboard.html.twig (Total lines: 371)
IS_TRUNCATED: false
LINE_RANGE: 140-340
140|
141|		{# ---------- Gráfico principal: Produtividade ao Longo do Tempo ---------- #}
142|		<div class="pa-prod-card pa-prod-card--chart">
143|			<div class="pa-prod-card__head">
144|				<div class="pa-prod-card__title">
145|					Produtividade ao Longo do Tempo
146|					<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Linha de produtividade observada ao longo do período"></i>
147|				</div>
148|				<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="chart-produtividade-tempo">
149|					<i class="fas fa-download"></i>
150|					<span>Exportar Gráfico</span>
151|				</button>
152|			</div>
153|			<div class="pa-prod-card__body">
154|				<div id="chart-produtividade-tempo" class="pa-prod-chart"></div>
155|			</div>
156|			<div class="pa-prod-card__foot">
157|				<button type="button" class="pa-prod-analysis" data-analysis="produtividade-tempo">
158|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
159|					<span class="pa-prod-analysis__label">Gerar Análise</span>
160|				</button>
161|				<div class="pa-prod-card__legend">
162|					<span class="pa-prod-legend-dot pa-prod-legend-dot--teal"></span>
163|					<span>Observado</span>
164|				</div>
165|			</div>
166|		</div>
167|
168|		{# ============================================================
169|		   SEÇÃO: DISTRIBUIÇÃO DE ENTREGAS
170|		   ============================================================ #}
171|		<div class="pa-prod-section">
172|			<h2 class="pa-prod-section__title">Distribuição de Entregas</h2>
173|			<p class="pa-prod-section__desc">
174|				Volume de saída por projeto e por equipe. Base para leitura de carga operacional e equilíbrio entre frentes.
175|			</p>
176|		</div>
177|
178|		<div class="pa-prod-grid pa-prod-grid--cols-2">
179|			{# Volume de Entregas por Projeto #}
180|			<div class="pa-prod-card pa-prod-card--chart">
181|				<div class="pa-prod-card__head">
182|					<div class="pa-prod-card__title">
183|						Volume de Entregas por Projeto
184|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Volume de entregas concluídas por projeto"></i>
185|					</div>
186|					<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="chart-entregas-projeto">
187|						<i class="fas fa-download"></i>
188|						<span>Exportar Gráfico</span>
189|					</button>
190|				</div>
191|				<div class="pa-prod-card__body">
192|					<div id="chart-entregas-projeto" class="pa-prod-chart pa-prod-chart--bars"></div>
193|				</div>
194|				<div class="pa-prod-card__foot">
195|					<button type="button" class="pa-prod-analysis" data-analysis="entregas-projeto">
196|						<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
197|						<span class="pa-prod-analysis__label">Gerar Análise</span>
198|					</button>
199|					<div class="pa-prod-pager" data-pager="entregas-projeto">
200|						<span class="pa-prod-pager__label">…</span>
201|						<button type="button" class="pa-prod-pager__btn" data-pager-action="prev" aria-label="Anterior">
202|							<i class="fas fa-chevron-left"></i>
203|						</button>
204|						<button type="button" class="pa-prod-pager__btn" data-pager-action="next" aria-label="Próximo">
205|							<i class="fas fa-chevron-right"></i>
206|						</button>
207|					</div>
208|					<div class="pa-prod-card__legend pa-prod-card__legend--trend">
209|						<i class="fas fa-chart-column"></i>
210|						<span>Total de entregas por projeto</span>
211|					</div>
212|				</div>
213|			</div>
214|
215|			{# Entregas por Equipe #}
216|			<div class="pa-prod-card pa-prod-card--chart">
217|				<div class="pa-prod-card__head">
218|					<div class="pa-prod-card__title">
219|						Entregas por Equipe
220|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Entregas concluídas e pendentes por equipe"></i>
221|					</div>
222|					<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="chart-entregas-equipe">
223|						<i class="fas fa-download"></i>
224|						<span>Exportar Gráfico</span>
225|					</button>
226|				</div>
227|				<div class="pa-prod-card__body">
228|					<div id="chart-entregas-equipe" class="pa-prod-chart pa-prod-chart--bars"></div>
229|				</div>
230|				<div class="pa-prod-card__foot">
231|					<button type="button" class="pa-prod-analysis" data-analysis="entregas-equipe">
232|						<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
233|						<span class="pa-prod-analysis__label">Gerar Análise</span>
234|					</button>
235|					<div class="pa-prod-pager" data-pager="entregas-equipe">
236|						<span class="pa-prod-pager__label">…</span>
237|						<button type="button" class="pa-prod-pager__btn" data-pager-action="prev" aria-label="Anterior">
238|							<i class="fas fa-chevron-left"></i>
239|						</button>
240|						<button type="button" class="pa-prod-pager__btn" data-pager-action="next" aria-label="Próximo">
241|							<i class="fas fa-chevron-right"></i>
242|						</button>
243|					</div>
244|				</div>
245|			</div>
246|		</div>
247|
248|		{# ============================================================
249|		   SEÇÃO: DINÂMICA DA PRODUTIVIDADE
250|		   ============================================================ #}
251|		<div class="pa-prod-section">
252|			<h2 class="pa-prod-section__title">Dinâmica da Produtividade</h2>
253|			<p class="pa-prod-section__desc">
254|				Padrões de produtividade ao longo dos dias e horas, e impacto direto das ausências sobre o ritmo da operação.
255|			</p>
256|		</div>
257|
258|		<div class="pa-prod-grid pa-prod-grid--cols-2">
259|			{# Heatmap #}
260|			<div class="pa-prod-card pa-prod-card--chart">
261|				<div class="pa-prod-card__head">
262|					<div class="pa-prod-card__title">
263|						<i class="fas fa-table-cells pa-prod-card__title-prefix"></i>
264|						Heatmap de Produtividade (Dia x Hora)
265|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Concentração de produtividade por dia da semana e hora"></i>
266|					</div>
267|					<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="chart-heatmap">
268|						<i class="fas fa-download"></i>
269|						<span>Exportar Gráfico</span>
270|					</button>
271|				</div>
272|				<div class="pa-prod-card__body">
273|					<div id="chart-heatmap" class="pa-prod-chart pa-prod-chart--heatmap"></div>
274|					<div class="pa-prod-heatmap-legend">
275|						<span class="pa-prod-heatmap-legend__label">Baixa Produtividade</span>
276|						<span class="pa-prod-heatmap-legend__scale">
277|							<span class="pa-prod-heatmap-legend__cell" style="background:#e3f1f4"></span>
278|							<span class="pa-prod-heatmap-legend__cell" style="background:#bfe1e7"></span>
279|							<span class="pa-prod-heatmap-legend__cell" style="background:#8fcad3"></span>
280|							<span class="pa-prod-heatmap-legend__cell" style="background:#54a3af"></span>
281|							<span class="pa-prod-heatmap-legend__cell" style="background:#2b7d8a"></span>
282|							<span class="pa-prod-heatmap-legend__cell" style="background:#155a66"></span>
283|						</span>
284|						<span class="pa-prod-heatmap-legend__label">Alta Produtividade</span>
285|					</div>
286|				</div>
287|				<div class="pa-prod-insight" data-heatmap-insight hidden>
288|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-insight__avatar">
289|					<div class="pa-prod-insight__body">
290|						<div class="pa-prod-insight__title">
291|							Insight da {{ userName|split(' ')|first }}
292|							<i class="fas fa-wand-magic-sparkles pa-prod-insight__title-icon" aria-hidden="true"></i>
293|						</div>
294|						<p class="pa-prod-insight__text" data-heatmap-insight-text></p>
295|					</div>
296|				</div>
297|				<div class="pa-prod-card__foot pa-prod-card__foot--tiny">
298|					<span class="pa-prod-card__meta">
299|						<i class="fas fa-circle-info"></i>
300|						Produtividade média por dia da semana e hora.
301|					</span>
302|				</div>
303|			</div>
304|
305|			{# Produtividade vs Ausências #}
306|			<div class="pa-prod-card pa-prod-card--chart">
307|				<div class="pa-prod-card__head">
308|					<div class="pa-prod-card__title">
309|						Produtividade vs Ausências
310|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Comparativo diário entre produtividade e ausências"></i>
311|					</div>
312|					<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="chart-prod-vs-ausencias">
313|						<i class="fas fa-download"></i>
314|						<span>Exportar Gráfico</span>
315|					</button>
316|				</div>
317|				<div class="pa-prod-card__body">
318|					<div id="chart-prod-vs-ausencias" class="pa-prod-chart"></div>
319|				</div>
320|				<div class="pa-prod-card__foot">
321|					<button type="button" class="pa-prod-analysis" data-analysis="prod-vs-ausencias">
322|						<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
323|						<span class="pa-prod-analysis__label">Gerar Análise</span>
324|					</button>
325|					<div class="pa-prod-card__legend pa-prod-card__legend--multi">
326|						<span class="pa-prod-legend-item">
327|							<span class="pa-prod-legend-dot pa-prod-legend-dot--teal"></span>
328|							Produtividade
329|						</span>
330|						<span class="pa-prod-legend-item">
331|							<span class="pa-prod-legend-dot pa-prod-legend-dot--gray"></span>
332|							Ausências
333|						</span>
334|					</div>
335|				</div>
336|			</div>
337|		</div>
338|
339|	</div>
340|</div>
Request #20 deepseek-v4-flash P:20.58K C:117 CR:17.28K CW:0 1369ms
Reasoning
Now let me look at the bottom of template (script section) where scripts are loaded and where init is called.
Tool Calls (1)
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{"end_line": 371, "file_path": "templates/people_analytics/produtividade_dashboard.html.twig", "start_line": 340}
File: templates/people_analytics/produtividade_dashboard.html.twig (Total lines: 371)
IS_TRUNCATED: false
LINE_RANGE: 340-371
340|</div>
341|
342|{% endblock %}
343|
344|{% block javascripts %}
345|	{{ parent() }}
346|
347|	<script src="{{ asset('js/metahuman-standard.js') }}"></script>
348|
349|	{# Highcharts - mesmo conjunto usado pelo módulo padrão #}
350|	<script src="https://code.highcharts.com/highcharts.js"></script>
351|	<script src="https://code.highcharts.com/highcharts-more.js"></script>
352|	<script src="https://code.highcharts.com/modules/heatmap.js"></script>
353|	<script src="https://code.highcharts.com/modules/exporting.js"></script>
354|	<script src="https://code.highcharts.com/modules/accessibility.js"></script>
355|
356|	<script src="{{ asset('js/people-analytics/print-report.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
357|	<script src="{{ asset('js/people-analytics/modules/adriana-chart-analysis.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
358|	<script src="{{ asset('js/people-analytics/modules/produtividade-dashboard.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
359|
360|	<script>
361|		document.addEventListener('DOMContentLoaded', function () {
362|			if (window.jQuery && jQuery.fn.tooltip) {
363|				$('[data-toggle="tooltip"]').tooltip();
364|			}
365|			if (window.PeopleAnalytics && window.PeopleAnalytics.ProdutividadeDashboard) {
366|				window.PeopleAnalytics.ProdutividadeDashboard.init();
367|			}
368|		});
369|	</script>
370|{% endblock %}
371|
Request #21 deepseek-v4-flash P:21.17K C:1.05K CR:20.61K CW:0 7692ms
Reasoning
Key observation: The new `adriana-chart-analysis.js` module uses `jQuery` at IIFE execution (`(function ($) {...})(jQuery);`) and `$.ajax`. It is loaded before produtividade-dashboard.js at line 357. This is inside a `javascripts` block that calls `{{ parent() }}`. Does the page load jQuery? The template does not explicitly include jQuery. But `parent()` likely loads jQuery in the base layout. Also in DOMContentLoaded, they check `window.jQuery && jQuery.fn.tooltip`. That implies jQuery exists on the page (from parent). Also produtividade-dashboard.js uses fetch, not jQuery. So jQuery is likely loaded via parent layout. Now, script order: adriana-chart-analysis.js executes at parse time (not deferred). If jQuery is loaded after? Since these scripts are in block at bottom after parent() which may include jQuery script tag. Likely fine. One important consideration: The new module file is in "other changed files" not in the review group, so we should not comment on issues inside it unless they manifest in the review files. But we should verify the JS contract between produtividade-dashboard.js (review file) and module bind() API (other file). That contract is within review group. Now compare old fetch code vs new module's ajax. The old fetch: body JSON.stringify({ filters, question }), headers with Content-Type application/json + Accept application/json + X-Requested-With. New module $.ajax: dataType json, contentType 'application/json', data JSON string. No Accept header, but jQuery sets Accept: application/json by default when dataType json. No credentials: 'same-origin' — but $.ajax sends same-origin cookies by default (xhrFields withCredentials false; same-origin cookies are always sent). Fine. Now, backend endpoint: does it require CSRF token for POST? Old fetch also didn't include CSRF token. So no regression. Now for the main concern: old code sends question with getFilters each request. New module captures filters at click time via getFilters. Good. Old code re-fetches filters at request time too. Same. Now the rendering of the result: The module's `renderAnalysis` inserts `projections` (Projeções) too, and uses `analysis.title` etc. Old code only had key_insights, attention_points, recommended_actions, limitations, summary. Now module adds projections - extra field; harmless. Now the chart_detail.html.twig also changed in other files, and it presumably uses same module. That's out of scope. Potential new issues to verify in produtividade-dashboard.js: 1. The removed `requestAnalysis` function had a `.finally(() => setAnalysisLoading(key, false));`. Now bind module handles loading state via module's `setButtonLoading`. This module resets label to original on false. But note: old code set label to 'Gerar Análise' on reset; new module reads `button.dataset.originalAnalysisLabel`. If button labels are dynamic... The buttons have static text 'Gerar Análise'. OK. But there's a subtle bug in module's `setButtonLoading`: after restoring, `button.dataset.originalAnalysisLabel` remains. Not a bug. 2. In produtividade-dashboard.js, is there still a function `setAnalysisVisible` used in `setDashboardLoading` at line 1281 (Object.keys(ANALYSIS_CHART_ID).forEach((key) => setAnalysisVisible(key, false)))? Wait, in old code, `setAnalysisLoading` was removed but `setAnalysisVisible` remains? Let me check what functions remain. The removed functions were `setAnalysisLoading`, `renderAnalysisList`, `renderAnalysisResult`, `requestAnalysis`. `setAnalysisVisible` may still exist and be used. Line 1281 calls setAnalysisVisible(key, false). Need to check it exists. Let me search. 3. `escapeHtml` dead code and `notify` dead code already flagged in confirmed findings #2. We should not repeat. Wait, but `notify` at line 1294 is now used only... let's search for calls. Since confirmed #2 says both are now unused, that's already flagged. Don't repeat. Let me search for remaining usages of escapeHtml, notify, setAnalysisVisible, getAnalysisPanel.
Tool Calls (1)
code_search
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{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "setAnalysisVisible|getAnalysisPanel|escapeHtml|notify\\(|setHeatmapInsightVisible|setAnalysisLoading", "use_perl_regexp": true}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 27
163|  function escapeHtml(value) {
268|  function setAnalysisVisible(key, visible) {
275|      const panel = getAnalysisPanel(key, false);
280|  function getAnalysisPanel(key, createIfMissing) {
295|  function setHeatmapInsightVisible(visible, text) {
523|          setAnalysisVisible('produtividade-tempo', false);
527|        setAnalysisVisible('produtividade-tempo', true);
616|        setAnalysisVisible('produtividade-tempo', false);
641|          setAnalysisVisible('entregas-projeto', false);
648|        setAnalysisVisible('entregas-projeto', true);
659|        setAnalysisVisible('entregas-projeto', false);
675|      setAnalysisVisible('entregas-projeto', false);
680|    setAnalysisVisible('entregas-projeto', true);
784|          setAnalysisVisible('entregas-equipe', false);
791|        setAnalysisVisible('entregas-equipe', true);
802|        setAnalysisVisible('entregas-equipe', false);
821|      setAnalysisVisible('entregas-equipe', false);
826|    setAnalysisVisible('entregas-equipe', true);
918|    setHeatmapInsightVisible(false);
930|          setHeatmapInsightVisible(false);
935|        setHeatmapInsightVisible(Boolean(insightText), insightText);
1011|        setHeatmapInsightVisible(false);
1034|          setAnalysisVisible('prod-vs-ausencias', false);
1038|        setAnalysisVisible('prod-vs-ausencias', true);
1122|        setAnalysisVisible('prod-vs-ausencias', false);
1281|    Object.keys(ANALYSIS_CHART_ID).forEach((key) => setAnalysisVisible(key, false));
1294|  function notify(msg) {

Request #22 deepseek-v4-flash P:22.65K C:389 CR:22.14K CW:0 3545ms
Reasoning
So `escapeHtml` (line 163) is defined but no longer called (only dead since renderAnalysisList which used it was removed). Confirmed finding #2. `notify` (1294) defined but no longer called anywhere? Search shows only definition at 1294, no calls. That was confirmed #2. Wait — `getAnalysisPanel` is still used by `setAnalysisVisible` at line 275. So getAnalysisPanel still alive. Let me check other potential uses of escapeHtml. Only line 163. Yes, dead. Let me verify that `notify` has no callers elsewhere in file... code_search shows only line 1294 definition. Yes dead. Both were confirmed. Now check setAnalysisVisible and getAnalysisPanel code: at line 275 `getAnalysisPanel(key, false)` — reads panel to set visibility. Fine. Now let's look at lines 268-295 to understand. Actually, the diff shows lines 277-291 removed functions setAnalysisLoading; getAnalysisPanel remains (lines 280). Then removed lines around 301-338 the renderAnalysisList and renderAnalysisResult and requestAnalysis. Confirmed removal. Now important functional regression check: In old flow, the analysis panel would show a `.pa-prod-analysis-panel` appended within `.pa-prod-card`, likely with `hidden` attribute managed by setAnalysisVisible toggling. Let me read setAnalysisVisible.
Tool Calls (1)
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Show Details
{"end_line": 330, "file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 255}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 255-330
255|    overlay.className = 'pa-prod-chart__overlay pa-prod-chart__overlay--error';
256|    overlay.innerHTML = `
257|      <i class="fas fa-triangle-exclamation pa-prod-state__icon" aria-hidden="true"></i>
258|      <p class="pa-prod-state__msg">${message || 'Não foi possível carregar os dados.'}</p>`;
259|    overlay.style.display = 'flex';
260|  }
261|
262|  function clearOverlay(el) {
263|    if (!el) return;
264|    const overlay = el.querySelector(':scope > .pa-prod-chart__overlay');
265|    if (overlay) overlay.style.display = 'none';
266|  }
267|
268|  function setAnalysisVisible(key, visible) {
269|    const btn = document.querySelector(`[data-analysis="${key}"]`);
270|    if (!btn) return;
271|    btn.hidden = !visible;
272|    btn.disabled = !visible;
273|
274|    if (!visible) {
275|      const panel = getAnalysisPanel(key, false);
276|      if (panel) panel.remove();
277|    }
278|  }
279|
280|  function getAnalysisPanel(key, createIfMissing) {
281|    const btn = document.querySelector(`[data-analysis="${key}"]`);
282|    const card = btn && btn.closest('.pa-prod-card');
283|    if (!card) return null;
284|
285|    let panel = card.querySelector(`[data-analysis-panel="${key}"]`);
286|    if (!panel && createIfMissing) {
287|      panel = document.createElement('div');
288|      panel.className = 'pa-prod-analysis-panel';
289|      panel.setAttribute('data-analysis-panel', key);
290|      card.appendChild(panel);
291|    }
292|    return panel;
293|  }
294|
295|  function setHeatmapInsightVisible(visible, text) {
296|    const insight = document.querySelector('[data-heatmap-insight]');
297|    if (!insight) return;
298|
299|    insight.hidden = !visible;
300|    const textEl = insight.querySelector('[data-heatmap-insight-text]');
301|    if (textEl) textEl.textContent = visible ? (text || '') : '';
302|  }
303|
304|  function buildHeatmapInsight(points, days, hours) {
305|    const validPoints = (Array.isArray(points) ? points : [])
306|      .map((point) => ({
307|        hourIndex: Number(point[0]),
308|        dayIndex: Number(point[1]),
309|        value: Number(point[2]),
310|      }))
311|      .filter((point) => Number.isFinite(point.hourIndex) && Number.isFinite(point.dayIndex) && Number.isFinite(point.value));
312|
313|    if (validPoints.length === 0) {
314|      return null;
315|    }
316|
317|    const best = validPoints.reduce((max, point) => point.value > max.value ? point : max, validPoints[0]);
318|    const average = validPoints.reduce((sum, point) => sum + point.value, 0) / validPoints.length;
319|    const highPoints = validPoints.filter((point) => point.value >= 80).length;
320|    const day = days[best.dayIndex] || 'dia com maior concentração';
321|    const hour = hours[best.hourIndex] != null ? String(hours[best.hourIndex]).padStart(2, '0') + 'h' : 'horário de pico';
322|
323|    if (highPoints > 1) {
324|      return `O pico de produtividade ocorre em ${day}, às ${hour}, com ${normalizePercent(best.value)}%. A média dos horários mapeados é de ${normalizePercent(average.toFixed(1))}% e há ${highPoints} faixas com produtividade alta, indicando boas janelas para concentrar atividades críticas.`;
325|    }
326|
327|    return `O melhor ponto do período é ${day}, às ${hour}, com ${normalizePercent(best.value)}%. A média dos horários mapeados é de ${normalizePercent(average.toFixed(1))}%, sugerindo priorizar essa janela para tarefas de maior foco.`;
328|  }
329|
330|  function destroyChart(id) {
Request #23 deepseek-v4-flash P:24.09K C:1.5K CR:22.91K CW:0 12315ms
Reasoning
Now let me consider the loading-state regression: Old code had `setAnalysisLoading(key, true)` then the button disabled + label "Gerando...". New module's `bind` uses its own `setButtonLoading`. Fine. Now cross-check: the module's `bind` uses `$(selector).each(...)` — but the module requires jQuery. In produtividade dashboard, jQuery exists. Wait, but the module uses `.finally(...)` on a Promise chain — Promise.prototype.finally requires modern browsers; they already used .finally in old code. Fine. Now, is there a case where the new shared module was refactored (in other files) and `bind` expects `question` to be either function or string but in produtividade's binding, they pass `question` as string, plus the module uses `getQuestion` check. OK. Now, review group file 2: template change just adds script include. The script tag ordering: adriana-chart-analysis.js before produtividade-dashboard.js - good because bind requires module. But there's a subtle deployment concern: The template change and JS change might be deployed together; that's fine. One concern: `renderError` writes into `panel.innerHTML` with an `alert-warning` div, and in module, the panel is appended to card. However in the old flow, when dashboard reloaded (setAnalysisVisible false), it removed the panel. Fine. Now potential functional regression that's worth flagging: The old flow's `requestAnalysis` was triggered by clicking buttons bound with `document.querySelectorAll('[data-analysis]')`. New flow binds only elements matching selector `.pa-prod-dash .pa-prod-analysis[data-analysis]` — all 4 buttons are inside `.pa-prod-dash`. Fine. But wait, `.pa-prod-dash` class is on the root div, and produtividade page could also be used in "individual analysis" view? Hmm, "Análise Individual" is another page possibly reusing same template? Let's check whether the same JS produtividade-dashboard.js is used on member analysis page. Let me check where produtividade-dashboard.js is included — likely only in this template. And chart_detail.html.twig updated separately uses adriana module with module 'chart'? Not in review group. Let me confirm the module URL: `/people-analytics/api/produtividade/chart/.../ai-analysis`. Existing backend route: `ChartAiAnalysisService` etc. Let me check the route defined in PeopleAnalyticsApiController (other file, but used as context). The chart_detail template in other files passes module param. Since these are out-of-scope we don't comment. But contract between review-file JS and module is OK. Potential issue: In `bind`, the loading state toggling: `setButtonLoading(button, false)` resets label text to original and re-enables button. Good. However, notice that the module's `setButtonLoading` sets `button.disabled = isLoading` but old code also set `btn.disabled = loading`. Fine. Another subtle difference: the new code passes `getFilters()` at click time, same as before. Now let me examine the possibility of a race/duplication: the `bind` is called in `bindUiActions` at init. bind uses a guard dataset flag, so calling again is fine. Now, template change file: only the script include addition. Looks fine. Now check potential real functional issue: In `produtividade-dashboard.js`, `bindUiActions()` runs inside `init()` on DOMContentLoaded. If the script module `adriana-chart-analysis.js` fails to load, no listener — confirmed finding #1. Now let's look for deeper issues specific to each review file that weren't flagged: For template: script include uses `{{ asset(...) }}` with version. Fine. No security issues. Wait, there's a potential issue with the whole refactor: the new module is IIFE-typed `(function ($) {...})(jQuery);`. If jQuery isn't available at parse-time... but template's `{{ parent() }}` may load jQuery in head; these scripts are at end of body in `javascripts` block. Since the inline DOMContentLoaded script uses jQuery checks, jQuery available. OK. Let me check whether the old implementation's endpoint URL matches the new module: old = `${API_BASE}/chart/${chartId}/ai-analysis` where API_BASE = '/people-analytics/api/produtividade'. New = `/people-analytics/api/${module}/chart/${chartId}/ai-analysis`. Module = 'produtividade'. Same URL. Now check the old fetch headers included `'Accept': 'application/json'`; module's $.ajax dataType json sets Accept json. OK. Now double-check CSRF: backend PeopleAnalyticsApiController in other changed files — we could read to check for CSRF requirement on the AI analysis action to see if jQuery's ajax without csrf token would fail, but the old fetch also lacked csrf. Unless they added CSRF validation in this PR... Actually the AI analysis endpoint pre-existed. Skip. Now examine if there is a regression where the module's ajax lacks `credentials` but no need. Now consider the `renderAnalysis` in module references CSS classes. Same. Another thing: within the review-group template, before adding the new script include, the previous buttons relied on functions in produtividade-dashboard.js. Both files changed; but is there a risk of stale cache where HTML template is updated but produtividade-dashboard.js is old (cache) — not a review issue. Let me examine whether `escapeHtml` in produtividade-dashboard.js is still used elsewhere for other rendering, e.g., the overlay error message uses `${message}` directly without escape (pre-existing; not part of diff). Not in diff. Now potential issue: the removed `renderAnalysisResult` and helper are dead code in module? Not in our files. Let me look more thoroughly at what else changed within produtividade-dashboard.js, e.g., any leftover references to removed functions. Search for `requestAnalysis(` calls, `renderAnalysisList`, `renderAnalysisResult`.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "requestAnalysis|renderAnalysisList|renderAnalysisResult|analysis\\.key_insights|json\\.ai_analysis", "use_perl_regexp": true}
No matches found
file_read
Show Details
{"end_line": 200, "file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 155}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 155-200
155|  }
156|
157|  // Verifica se um array é "efetivamente vazio" (vazio, todo zero ou todo null)
158|  function isEffectivelyEmpty(arr) {
159|    if (!Array.isArray(arr) || arr.length === 0) return true;
160|    return arr.every((v) => v == null || v === 0 || v === '0' || v === '');
161|  }
162|
163|  function escapeHtml(value) {
164|    const div = document.createElement('div');
165|    div.textContent = value == null ? '' : String(value);
166|    return div.innerHTML;
167|  }
168|
169|  // =====================================================================
170|  // HELPERS - FORMATAÇÃO
171|  // =====================================================================
172|  function formatNumberBR(value) {
173|    if (value == null || value === '') return '—';
174|    const n = Number(value);
175|    if (Number.isNaN(n)) return String(value);
176|    return n.toLocaleString('pt-BR');
177|  }
178|
179|  function normalizePercent(value) {
180|    if (value == null || value === '') return '—';
181|    const str = String(value).trim();
182|    // Substitui ponto por vírgula em números com casas decimais
183|    return str.replace(/\.(\d)/, ',$1');
184|  }
185|
186|  // Formata o valor de KPI vindo do back (ex: "85.3%", "12540h", "1248", "86 dias")
187|  //  - Mantém o sufixo original (%, h, "dias", etc.)
188|  //  - Converte casas decimais com ponto para vírgula
189|  //  - Aplica separador de milhar BR (.) na parte inteira
190|  function formatKpiValue(value) {
191|    if (value == null || value === '') return '—';
192|    const str = String(value).trim();
193|    const match = str.match(/^(-?\d+)(?:[.,](\d+))?(.*)$/);
194|    if (!match) return str;
195|    const intRaw  = match[1];
196|    const decRaw  = match[2];
197|    const suffix  = (match[3] || '').trim();
198|    const intBR   = Number(intRaw).toLocaleString('pt-BR');
199|    const number  = decRaw ? `${intBR},${decRaw}` : intBR;
200|    return suffix ? `${number}${/^[%]/.test(suffix) ? '' : ' '}${suffix}` : number;
Request #24 deepseek-v4-flash P:26.28K C:599 CR:25.47K CW:0 5358ms
Reasoning
So there are no remaining references to the removed functions. `escapeHtml` defined at line 163 but unused (already flagged). `notify` at 1294 unused (flagged). Now let me examine whether `notify` is used in chart_detail or elsewhere? Not relevant. Now consider template file—does the template in review group need anything else? Only script include added. Potential ordering issue: the include is added inside `{% block javascripts %}` after `print-report.js` and before `produtividade-dashboard.js`. Good. But one thing: In this template, the script block adds the module `<script>` in the page. But chart_detail.html.twig (other changed file) also got +14 lines adding the same include presumably. Fine. Now let me think about the module `bind` reading `getFilters` only at click; but `currentFilters` is captured from closure, meaning each chart request reflects filters at click time. Good. Potential regression in analysis on empty dashboard: `currentFilters` empty means payload filters `{}`. Backend then may default to period. Not review issue. Now consider cross-file contract: The backend response field names expected: `json.ai_analysis` with fields `title, summary, key_insights, projections, attention_points, recommended_actions, limitations`. Let me check the backend returns these keys. Since backend changed in this PR (ChartAiAnalysisService +45), but out of review group. But since produtividade-dashboard.js relies on new module which uses these field names, and the backend in this PR provides them—verify quickly using code_search to ensure response shape consistent, since contract with backend is one of user priorities ("Contrato quebrado com o backend"). But the module is out of review group. Still, the changed files list includes ChartAiAnalysisService and ChartResolver that define analysis response. Let me quickly verify the response fields used by the module exist in backend service to ensure the JS in produtividade-dashboard.js (which delegates) is consistent. Let me read the ChartAiAnalysisService diff and the module renderAnalysis field names. Field names used by module: - analysis.title - analysis.summary - analysis.key_insights - analysis.projections - analysis.attention_points - analysis.recommended_actions - analysis.limitations Let me check backend returns these keys.
Tool Calls (1)
file_read_diff
Show Details
{"path_array": ["src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php", "src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php", "src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php", "src/Controller/PeopleAnalyticsApiController.php"]}
==== FILE: src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php ====
diff --git a/src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php b/src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php
--- a/src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php
+++ b/src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php
@@ -87,6 +87,10 @@ class ChartAiAnalysisService
                 'quality_flags' => $qualityFlags,
                 'privacy_min_group' => $resolved['chart_meta']['privacy_min_group'] ?? 5
             ];
+
+            if ($this->hasInsufficientData($qualityFlags, $derivedMetrics)) {
+                return $this->insufficientDataResponse($module, $chartId, $resolved, $aiPayload);
+            }
  
            
             $aiResponse = $this->callDeepSeek($aiPayload, $question);
@@ -578,6 +582,47 @@ Retorne apenas o JSON estruturado conforme especificado.";
         return ['allowed' => true];
     }
 
+    private function hasInsufficientData(array $qualityFlags, array $derivedMetrics): bool
+    {
+        return in_array('empty_data', $qualityFlags, true)
+            || in_array('missing_dimensions', $qualityFlags, true)
+            || empty($derivedMetrics);
+    }
+
+    private function insufficientDataResponse(string $module, string $chartId, array $resolved, array $aiPayload): array
+    {
+        return [
+            'success' => true,
+            'module' => $module,
+            'chart_id' => $chartId,
+            'filters_applied' => $resolved['filters_applied'],
+            'chart_meta' => $resolved['chart_meta'],
+            'chart_data' => $resolved['chart_data'],
+            'ai_payload' => $aiPayload,
+            'ai_analysis' => [
+                'title' => 'Dados insuficientes para análise',
+                'summary' => 'Não há dados suficientes para gerar uma análise confiável neste recorte.',
+                'key_insights' => [],
+                'projections' => [],
+                'attention_points' => [
+                    'O gráfico não retornou categorias, séries ou métricas suficientes para análise.',
+                ],
+                'recommended_actions' => [
+                    'Verifique se o colaborador possui dados no período selecionado.',
+                    'Amplie o período ou ajuste os filtros antes de solicitar a análise novamente.',
+                ],
+                'follow_up_questions' => [],
+                'limitations' => [
+                    'A análise automática não foi enviada à IA porque o payload não contém dados mínimos.',
+                ],
+                'confidence' => 'baixo',
+            ],
+            'ai_provider' => null,
+            'ai_model' => null,
+            'generated_at' => (new \DateTime())->format('c')
+        ];
+    }
+
     /**
      * Resposta fallback para casos de privacidade
      */
==== FILE: src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php ====
diff --git a/src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php b/src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php
--- a/src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php
+++ b/src/Service/PeopleAnalytics/Chart/ChartDerivedMetricsCalculator.php
@@ -38,7 +38,10 @@ class ChartDerivedMetricsCalculator
 
         foreach ($data['datasets'] ?? [] as $dataset) {
             $values = array_filter($dataset['data'] ?? [], 'is_numeric');
-            $seriesName = $dataset['name'] ?? 'Série';
+            $seriesName = $dataset['name'] ?? $dataset['label'] ?? 'Série';
+            if (isset($metrics['series_metrics'][$seriesName])) {
+                $seriesName .= ' ' . (count($metrics['series_metrics']) + 1);
+            }
 
             if (empty($values)) {
                 continue;
@@ -126,7 +129,7 @@ class ChartDerivedMetricsCalculator
             'total_value' => $total,
             'category_count' => count($categories),
             'series_count' => count($series),
-            'series_names' => array_map(fn($s) => $s['name'] ?? 'Série', $series),
+            'series_names' => array_map(fn($s) => $s['name'] ?? $s['label'] ?? 'Série', $series),
             'top_category' => $categories[$maxIndex] ?? null,
             'top_value' => $maxValue,
             'top_share' => $total > 0 ? round(($maxValue / $total) * 100, 2) : 0,
@@ -139,7 +142,10 @@ class ChartDerivedMetricsCalculator
         // Adicionar totais por série
         $seriesBreakdown = [];
         foreach ($series as $seriesItem) {
-            $seriesName = $seriesItem['name'] ?? 'Série';
+            $seriesName = $seriesItem['name'] ?? $seriesItem['label'] ?? 'Série';
+            if (isset($seriesBreakdown[$seriesName])) {
+                $seriesName .= ' ' . (count($seriesBreakdown) + 1);
+            }
             $seriesValues = [];
             foreach ($seriesItem['data'] ?? [] as $val) {
                 if (is_numeric($val)) {
==== FILE: src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php ====
diff --git a/src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php b/src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php
--- a/src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php
+++ b/src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php
@@ -80,6 +80,7 @@ class ChartFilterNormalizer
             'teams' => 'team_ids',
             'area' => 'team_group_ids',
             'areas' => 'team_group_ids',
+            'membro' => 'member_ids',
             'member' => 'member_ids',
             'members' => 'member_ids',
         ];
@@ -95,6 +96,16 @@ class ChartFilterNormalizer
             }
         }
 
+        if (!isset($normalized['member_id']) && !empty($normalized['member_ids'])) {
+            $normalized['member_id'] = (int) reset($normalized['member_ids']);
+        }
+
+        foreach (['memberId', 'company_member_id', 'companyMemberId', 'selected_member_id'] as $memberKey) {
+            if (!isset($normalized['member_id']) && isset($filters[$memberKey]) && is_numeric($filters[$memberKey])) {
+                $normalized['member_id'] = (int) $filters[$memberKey];
+            }
+        }
+
         // 6. Copiar outros filtros não processados
         foreach ($filters as $key => $value) {
             if (!isset($normalized[$key]) && !in_array($key, array_keys($keyMappings))) {
==== FILE: src/Controller/PeopleAnalyticsApiController.php ====
diff --git a/src/Controller/PeopleAnalyticsApiController.php b/src/Controller/PeopleAnalyticsApiController.php
--- a/src/Controller/PeopleAnalyticsApiController.php
+++ b/src/Controller/PeopleAnalyticsApiController.php
@@ -105,12 +105,20 @@ class PeopleAnalyticsApiController extends AbstractController
                 ], 400);
             }
 
-            $filters = $data['filters'] ?? [];
+            $rawFilters = $data['filters'] ?? [];
+            $filters = $rawFilters;
             $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção';
 
             // Normalizar filtros
             $filters = $filterNormalizer->normalize($filters);
 
+            if (
+                $module === 'analise_de_membro'
+                && !isset($rawFilters['periodo'])
+            ) {
+                unset($filters['start_date'], $filters['end_date']);
+            }
+
             // Adicionar contexto do usuário (company, permissões)
             $company = $this->userContext->getCompany();
             if ($company) {
Request #25 deepseek-v4-flash P:28.82K C:886 CR:26.75K CW:0 8148ms
Reasoning
Backend returns ai_analysis with those fields. Module renders those. Now let me double-check the module function `bind` receives `chartMap`, etc. Fine. Now also inspect the ChartAiAnalysisService full to verify derived metrics field availability. But again, out of group. The question for review files: For template file: only the script include. Is the include inside `{% block javascripts %}` after print-report.js. Order OK. Now think about possible regression: The produtividade-dashboard.js module's own rendering when a chart has no data: old flow `requestAnalysis` still would POST even if empty data, but old code only got disabled while loading. Now module binds. Another regression concern: In old code, buttons bound to fetch even if module file exists separately; the removed `requestAnalysis` sent question with chart-specific text? Old question = 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.'; new adds 'de Produtividade.' — trivial. Potential functional regression: the analysis panel creation. Old flow: `renderAnalysisResult` would call `getAnalysisPanel(key, true)` — creates panel and appends to card. New module: `getOrCreatePanel` identical. But note that when dashboard has empty chart data (e.g., no data for the selected filter), the button is hidden by setAnalysisVisible false — button not clickable. Good. Now the confirmed finding #1 was about silent failure if module is unavailable. Confirmed finding #2 about dead functions. Both must not be repeated. Let's search for further concerns: 1. In `setAnalysisVisible`, note the `.pa-prod-analysis` button uses class but old code selects `[data-analysis]` in document; the module re-uses the panel with `data-analysis-panel=key`. Both consistent. 2. Now important: When module renders, it sets `panel.innerHTML`. `analysis` content comes from server (DeepSeek-generated). It's passed through escapeHtml in renderList, so XSS protected. Summary/title escaped. Good. 3. But the error render: message from server escaped. Good. Potential issue with new module bind vs module registration timing: adriana-chart-analysis.js is loaded before produtividade-dashboard.js. At DOMContentLoaded, both loaded. OK. Now possible issue: `.pa-prod-dash .pa-prod-analysis[data-analysis]` uses jQuery selector with `.pa-prod-dash` but when this module is reused for individual analysis page (chart_detail.html.twig also changed to include module) — not our concern. Another subtle issue: In produtividade-dashboard.js bindUiActions, `bind` is only called if the module is present. If module present but jQuery `$` used by module's `$.ajax` — fine. Now consider if a second bind might double-render: guard dataset present. Now check if there is a remaining direct dependency on the deleted functions from chart or other JS: e.g., `window.PeopleAnalytics.ProdutividadeDashboard` exposes only init & reload. So no external references to removed functions. Let me search whole codebase for references to functions that were removed (e.g., `renderAnalysisResult`, `requestAnalysis`) outside this file, to confirm no broken contract. Actually those were file-local, but check other files like chart_detail.html.twig. Since chart_detail also changed to centralize into module, maybe they previously used a separate JS file for chart detail (not this file). Let me search for "AdrianaChartAnalysis" references across codebase and "ai-analysis" usage to ensure no other page relied on `produtividade-dashboard.js`'s removed global behavior.
Tool Calls (2)
code_search
Show Details
{"search_text": "AdrianaChartAnalysis|adriana-chart-analysis|ProdutividadeDashboard", "use_perl_regexp": true}
File: docs/engineering/pr/new_staging2/PR_arquivos_new_staging2.txt
Match lines: 1
1380|A	src/Service/PeopleAnalytics/ProdutividadeDashboardDataService.php

File: docs/engineering/pr/new_staging2/PR_impacto_new_staging2.txt
Match lines: 1
1380| .../ProdutividadeDashboardDataService.php          |  547 ++

File: public/js/people-analytics/modules/adriana-chart-analysis.js
Match lines: 1
175|  window.PeopleAnalytics.AdrianaChartAnalysis = {

File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 3
1198|    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
1199|      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
1320|  window.PeopleAnalytics.ProdutividadeDashboard = { init, reload: reloadAll };

File: src/Controller/Api/PeopleAnalytics/ProdutividadeController.php
Match lines: 2
7|use App\Service\PeopleAnalytics\ProdutividadeDashboardDataService;
28|        private ProdutividadeDashboardDataService $dashboardDataService

File: src/Controller/PeopleAnalyticsController.php
Match lines: 4
16|use App\Service\PeopleAnalytics\ProdutividadeDashboardDataService;
46|        private ?ProdutividadeDashboardDataService $produtividadeDashboardDataService = null,
444|        if (!$this->produtividadeDashboardDataService) {
449|            $kpis = $this->produtividadeDashboardDataService->getKpis($filters);

File: src/Service/PeopleAnalytics/ProdutividadeDashboardDataService.php
Match lines: 1
13|class ProdutividadeDashboardDataService

File: src/Service/PeopleAnalytics/ProdutividadeService.php
Match lines: 1
18|        private ProdutividadeDashboardDataService $dashboardDataService

File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 3
357|	<script src="{{ asset('js/people-analytics/modules/adriana-chart-analysis.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
365|			if (window.PeopleAnalytics && window.PeopleAnalytics.ProdutividadeDashboard) {
366|				window.PeopleAnalytics.ProdutividadeDashboard.init();

code_search
Show Details
{"search_text": "data-analysis"}
File: public/js/chat_ia/assessment_analysis/company_search_analysis.js
Match lines: 1
360|          pdfButton.setAttribute("data-analysis-id", analysisId);

File: public/js/chat_ia/assessment_analysis/member_search_analysis.js
Match lines: 1
770|          pdfButton.setAttribute("data-analysis-id", analysisId);

File: public/js/chat_ia/chat_form.js
Match lines: 6
6307|                      data-analysis-id="${analysisId}" 
14700|    analysisId = event.target.getAttribute('data-analysis-id');
14932|                pdfButton.setAttribute('data-analysis-id', analysisId);
15053|                pdfButton.setAttribute('data-analysis-id', analysisId);
15419|            pdfButton.setAttribute('data-analysis-id', analysisId);
15862|            pdfButton.setAttribute('data-analysis-id', analysisId);

File: public/js/chat_ia/chat_ia_modal.js
Match lines: 6
5994|                      data-analysis-id="${analysisId}" 
15081|    analysisId = event.target.getAttribute('data-analysis-id');
15313|                pdfButton.setAttribute('data-analysis-id', analysisId);
15434|                pdfButton.setAttribute('data-analysis-id', analysisId);
15800|            pdfButton.setAttribute('data-analysis-id', analysisId);
17148|            pdfButton.setAttribute('data-analysis-id', analysisId);

File: public/js/people-analytics/modules/adriana-chart-analysis.js
Match lines: 4
10|  const DEFAULT_SELECTOR = '.pa-prod-analysis[data-analysis]';
36|    let panel = card.querySelector(`[data-analysis-panel="${key}"]`);
40|      panel.setAttribute('data-analysis-panel', key);
153|        const key = button.getAttribute('data-analysis');

File: public/js/people-analytics/modules/attraction-retention-dashboard.js
Match lines: 9
78|  // Mapeia o data-analysis dos botões "Gerar Análise" e "Ver Análise" para o
1370|      if (btn.getAttribute('data-analysis-label') == null) {
1371|        btn.setAttribute('data-analysis-label', label.textContent.trim());
1375|      label.textContent = btn.getAttribute('data-analysis-label') || 'Gerar Análise';
1382|    const key = btn.getAttribute('data-analysis');
1383|    let panel = card.querySelector('[data-analysis-panel="' + key + '"]');
1387|      panel.setAttribute('data-analysis-panel', key);
1423|    const key = btn.getAttribute('data-analysis');
1468|        const key = el.getAttribute('data-analysis');

File: public/js/people-analytics/modules/cost-analysis-dashboard.js
Match lines: 5
1269|    const key = btn.getAttribute('data-analysis');
1270|    let panel = card.querySelector('[data-analysis-panel="' + key + '"]');
1274|      panel.setAttribute('data-analysis-panel', key);
1310|    const key = btn && btn.getAttribute('data-analysis');
1368|        const key = el.getAttribute('data-analysis');

File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 5
269|    const btn = document.querySelector(`[data-analysis="${key}"]`);
281|    const btn = document.querySelector(`[data-analysis="${key}"]`);
285|    let panel = card.querySelector(`[data-analysis-panel="${key}"]`);
289|      panel.setAttribute('data-analysis-panel', key);
1202|        selector: '.pa-prod-dash .pa-prod-analysis[data-analysis]',

File: public/js/people-analytics/modules/saude-organizacional-dashboard.js
Match lines: 6
598|    const btn = document.querySelector(`[data-analysis="${key}"]`);
610|    const btn = document.querySelector(`[data-analysis="${key}"]`);
614|    let panel = card.querySelector(`[data-analysis-panel="${key}"]`);
618|      panel.setAttribute('data-analysis-panel', key);
1900|    document.querySelectorAll('[data-analysis]').forEach((btn) => {
1901|      btn.addEventListener('click', () => requestAnalysis(btn.getAttribute('data-analysis')));

File: public/js/people-analytics/modules/well-being-absence-dashboard.js
Match lines: 1
870|        console.info('[WellBeingAbsence] análise solicitada:', el.getAttribute('data-analysis') || el.getAttribute('data-question'));

File: templates/people_analytics/attraction_retention_dashboard.html.twig
Match lines: 5
180|				<button type="button" class="pa-prod-analysis" data-analysis="ar-admissoes-desligamentos">
330|					<button type="button" class="pa-prod-analysis" data-analysis="ar-permanencia">
486|				<button type="button" class="pa-prod-btn pa-prod-btn--ghost pa-ar-corr-card__btn" data-analysis="corr-engagement-risk">
507|				<button type="button" class="pa-prod-btn pa-prod-btn--ghost pa-ar-corr-card__btn" data-analysis="corr-comparatio-turnover">
528|				<button type="button" class="pa-prod-btn pa-prod-btn--ghost pa-ar-corr-card__btn" data-analysis="corr-tenure-performance">

File: templates/people_analytics/cost_analysis_dashboard.html.twig
Match lines: 1
186|				<button type="button" class="pa-prod-analysis" data-analysis="ca-trajetoria-folha">

File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 4
157|				<button type="button" class="pa-prod-analysis" data-analysis="produtividade-tempo">
195|					<button type="button" class="pa-prod-analysis" data-analysis="entregas-projeto">
231|					<button type="button" class="pa-prod-analysis" data-analysis="entregas-equipe">
321|					<button type="button" class="pa-prod-analysis" data-analysis="prod-vs-ausencias">

File: templates/people_analytics/saude_organizacional_dashboard.html.twig
Match lines: 1
179|				<button type="button" class="pa-prod-analysis" data-analysis="so-evolucao">

File: templates/people_analytics/well_being_absence_dashboard.html.twig
Match lines: 1
137|				<button type="button" class="pa-prod-analysis" data-analysis="wb-trajetoria-absenteismo">

Request #26 deepseek-v4-flash P:31.76K C:2.62K CR:29.7K CW:0 21104ms
Reasoning
Now the interesting bit: There are other dashboard modules (saude-organizacional, attraction-retention, cost-analysis) that have their own `requestAnalysis` flows, similar code. The PR refactors only produtividade into shared module. The confirmed finding #2 already highlights leftover dead code `escapeHtml` and `notify` in produtividade-dashboard.js. Now, new consideration: In produtividade-dashboard.js, the removed code also removed the `setAnalysisLoading` function. But `setAnalysisVisible` hides panels on data reload. But now, when a user clicks "Gerar Análise" and then filters change, the panel persists? In the old code, reload would call setDashboardLoading which hides all analysis buttons and calls `setAnalysisVisible(key,false)` which removes existing panels. Same behavior now. Let's examine one more thing: the loading state and panels. The module `bind` toggles the button's disabled state and label. However there's a potential regression: Old code's `setAnalysisLoading` referenced `.pa-prod-analysis__label`. The module's fallback uses the label or any span. OK. Now, one thing to note: the module is included on this page. But this module is generic and uses `.pa-prod-analysis[data-analysis]` default selector; note the produtividade template also has `.pa-prod-btn pa-prod-btn--ghost pa-ar-corr...` elsewhere in other modules, but on this page the only data-analysis buttons are the 4 `.pa-prod-analysis` buttons within `.pa-prod-dash`. But wait: attraction_retention dashboard has class `.pa-ar-corr-card__btn` with data-analysis too, and uses same base `.pa-prod-dash` class? Possibly separate pages though. Since the produtividade selector is scoped to `.pa-prod-dash .pa-prod-analysis[data-analysis]`, only this page's buttons. Now what about produtividade-dashboard.js possibly also being loaded on other pages? Search shows produtividade-dashboard.js only included in produtividade_dashboard.html.twig probably. Fine. Now, let's think about a real bug: jQuery's `$.ajax` in module uses `contentType: 'application/json'` with `data: JSON.stringify(...)`. But is jQuery available at the time adriana-chart-analysis.js executes? Template loads at bottom: `metahuman-standard.js` then highcharts etc. In DOMContentLoaded, they check `window.jQuery && jQuery.fn.tooltip`. But is jQuery loaded before these scripts? metahuman-standard.js may depend on jQuery loaded earlier from the layout via parent() block. Let me check layout scripts order. It's likely in layout head. Since `metahuman-standard.js` and tooltip need jQuery, and code that runs on DOMContentLoaded uses `$('[data-toggle="tooltip"]')`, jQuery must be loaded globally before. So module's IIFE `(jQuery)` should find it. However, jQuery may be loaded AFTER these scripts? In typical layout, jquery is at top (in javascripts block parent()). Let me quickly check the layout to be safe? But it's likely safe. Now, is there a risk that these page scripts are loaded with `defer`/`async`? Not here; the template doesn't use defer. The inline `<script>` at line 360 runs on DOMContentLoaded after all sync scripts executed. Module script (line 357) would have executed already (sync). OK. Now let's consider a genuine functional regression: The old `requestAnalysis` was invoked with button element found via `[data-analysis]` in `document`, bound for each. New binding relies on `jQuery.on('click')`. If any later code (e.g., HTML re-render) replaces the button DOM nodes (like pager reload re-render), the new nodes won't be bound. But buttons are static in template, not re-rendered. The charts themselves get re-rendered, not buttons. Fine. Now, is there a subtle behavior change in the label reset? Consider old code: `setAnalysisLoading(key, true)` set label 'Gerando...'; on false sets 'Gerar Análise'. New module: label set to loading text then on reset it restores `button.dataset.originalAnalysisLabel` which is captured as the text at first click time ('Gerar Análise'). If button label was changed elsewhere... unlikely. Now, another real issue candidate: the module posts to `/people-analytics/api/produtividade/chart/{chartId}/ai-analysis`. But the dashboard uses module data-module="{{ module }}". In the template root div, `data-module="{{ module }}"`; module could be 'produtividade'. Fixed 'produtividade' in bind config. Good. But there is a subtle bug: If user is in member individual analysis (module 'analise_de_membro'), the route also used from chart_detail.html.twig. But produtividade page is dashboard-level. Fine. Potential issue in the code within the review file itself: The old code, before the change, kept the panels visible after re-filtering? Not relevant. Let's look at more subtle differences between old and new behavior regarding the "insufficient data" response from the backend: new backend returns success true with ai_analysis that has no summary fields? No — includes title summary etc. Module renders them. Fine. Now let's verify the module's `requestAnalysis` failure path and loading reset. In `bind`, after click, loading true. If `renderError` returns; and then `finally` resets loading. Good. Now: any case where `chartId` is falsy and no panel exists → renderError(null, ...) — wait, `getOrCreatePanel(button, key)` returns panel; if no chartId, renderError(panel,...) with panel valid. Good, but loading was set true before checking chartId? No: in bind, chartId check occurs before setButtonLoading. Good. Now, is there any issue that the module loads with `window.setButtonLoading` fallback that might exist globally (shared helper). Fine. Overall, files seem okay aside from previously confirmed findings. But wait — let's reconsider whether the refactor introduced a regression regarding the period/loading. Before removal, the code path from old requestAnalysis would call backend and if error `notify`. Now errors displayed inline in the panel via renderError. That's arguably an improvement. Now review checklist asks to review each file. Let me look again at produtividade-dashboard.js diff more precisely: removed functions at 277-291? Actually diff shows removal of function `setAnalysisLoading` after line 277 (old) and `renderAnalysisList`, `renderAnalysisResult`, `requestAnalysis`, and changed `bindUiActions`. But notice the old code in bindUiActions used `document.querySelectorAll('[data-analysis]').forEach(...)` directly with `btn.addEventListener`. New code only uses the module if available. I want to check whether bindUiActions used to be invoked once; yes. The new code calls module's `bind()` every time bindUiActions is invoked — but bindUiActions is only invoked once at init. Actually check: bindUiActions might also be invoked after pager render? Let's search for bindUiActions calls — only at 1314 init. OK. Now, there is one nuance: The module `bind` attaches handler with `$(button).on('click', ...)` and sets guard. If bindUiActions is called a second time after DOM has new buttons (e.g., if paging re-render creates new `.pa-prod-analysis` inside new cards) — doesn't happen here. Let me now check that when charts have data, button visibility is controlled by `setAnalysisVisible`. On load/reload, `setDashboardLoading` sets all analysis buttons hidden (visible false). Then individual loaders set visible true when there is data. So initially hidden. After clicking analysis and chart re-rendered, fine. Now there is one more possible regression: Old code would render the result into the panel even if the button got hidden/disabled mid-request due to a dashboard reload... new code sets panel.innerHTML in module regardless. Same. Now, let's think about the scenario of a user requesting analysis and then changing filters while request in flight. Old flow: no cancellation; result renders into panel that may have been removed by setAnalysisVisible(false) on reload (then `getAnalysisPanel(key, true)` re-creates a panel and renders stale results under current filters!). Actually old code: after response, `renderAnalysisResult(key, ...)` re-created panel and rendered stale content. New code: module captures `panel` at click time via `getOrCreatePanel`; if reload removed that panel, `panel` variable still refers to a detached DOM node; renderAnalysis writes into detached node, silently no visible result. Behavior differs but arguably both buggy/edge. Not significant. Hmm. Let me also examine the newly introduced `escapeHtml` duplicate: The module defines its own escapeHtml, and produtividade-dashboard.js still has escapeHtml unused. Flagged as dead code already (#2). Now check template's addition order vs module needs: The module is loaded before produtividade-dashboard.js, good. However, one subtle deploy/versioning: both files are versioned with `?v=now`. Fine. Now let me check if the same module file is also added in chart_detail template in other files (yes, +14 lines). So consistent. Now a possible real finding for the review file produtividade-dashboard.js: Since `bind` is called only when module exists, and `bindUiActions` also binds pager actions inside; but the `if` guard doesn't log missing module. That's already confirmed finding #1. Let me consider whether there's a new issue about `ANALYSIS_CHART_ID` map values being reused for backend chart ID. In old code, the chartId passed to backend was e.g. 'chart-produtividade-tempo'. Same. Wait — I realize: in the old removed `requestAnalysis`, the AJAX url: `${API_BASE}/chart/${encodeURIComponent(chartId)}/ai-analysis` with chartId = ANALYSIS_CHART_ID[key]. The new module URL: `/people-analytics/api/produtividade/chart/${chartId}/ai-analysis`. Same. Chart id domain: keys match `chart-produtividade-tempo`. Backend resolver (ChartResolver +8) handles chart id. OK. Now let me review the template more thoroughly for the diff: only line 357 added. The include is inside `{% block javascripts %}` and after `print-report.js`. Seems fine. But wait: There might be an important point that chart_detail.html.twig and produtividade template both add `adriana-chart-analysis.js`. In chart_detail page, they need module 'analise_de_membro' etc. Not our file. I should check that adding the shared module file could conflict with an existing module loaded elsewhere on the same page? The window namespace is fine. Now, do we need to consider `DEFAULT_SELECTOR = '.pa-prod-analysis[data-analysis]'` matches in produtividade? Yes 4 buttons. Alright, let's see if there's any issue with jQuery's presence in module's click binding on this page: yes `$` is global jQuery from layout. Let me check if layout parent loads jquery before. Given metahuman-standard.js uses jQuery presumably at execution time and tooltip works currently, jQuery loaded before the javascripts block content? Wait — in twig inheritance, `{% block javascripts %}` with `{{ parent() }}` at the top will first render parent block content, then page-specific script tags. If parent block includes jQuery <script> tag, it will be output first — that's synchronous so jQuery defined before these scripts run. Good. Let me try to verify by reading the layout javascripts block quickly.
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{"file_patterns": ["templates/layoutAdmin.html.twig", "templates/layoutUser.html.twig"], "search_text": "block javascripts"}
File: templates/layoutAdmin.html.twig
Match lines: 1
4432|{% block javascripts %}

File: templates/layoutUser.html.twig
Match lines: 1
3944|{% block javascripts %}

Request #27 deepseek-v4-flash P:34.44K C:103 CR:34.3K CW:0 1624ms
Reasoning
Let me read layoutAdmin javascripts block start to see jquery ordering.
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{"end_line": 4490, "file_path": "templates/layoutAdmin.html.twig", "start_line": 4432}
File: templates/layoutAdmin.html.twig (Total lines: 4516)
IS_TRUNCATED: false
LINE_RANGE: 4432-4490
4432|{% block javascripts %}
4433|{% endblock %}
4434|
4435|<!-- Configuração do Toastr -->
4436|<script>
4437|$(document).ready(function() {
4438|    // Configuração do Toastr
4439|    toastr.options = {
4440|        "closeButton": true,
4441|        "debug": false,
4442|        "newestOnTop": false,
4443|        "progressBar": true,
4444|        "positionClass": "toast-top-right",
4445|        "preventDuplicates": false,
4446|        "onclick": null,
4447|        "showDuration": "300",
4448|        "hideDuration": "1000",
4449|        "timeOut": "5000",
4450|        "extendedTimeOut": "1000",
4451|        "showEasing": "swing",
4452|        "hideEasing": "linear",
4453|        "showMethod": "fadeIn",
4454|        "hideMethod": "fadeOut"
4455|    };
4456|});
4457|
4458|// Event listener para o botão de chat móvel e desktop (Adriana IA)
4459|document.addEventListener('DOMContentLoaded', function() {
4460|    var chatModal = document.getElementById('chatModal');
4461|
4462|    // Garante toggleChatModal mesmo que o JS externo não carregue
4463|    if (chatModal && typeof window.toggleChatModal !== 'function') {
4464|        window.toggleChatModal = function () {
4465|            chatModal.classList.toggle('open');
4466|            if (chatModal.classList.contains('open')) {
4467|                document.body.classList.add('chat-modal-open');
4468|            } else {
4469|                document.body.classList.remove('chat-modal-open');
4470|            }
4471|        };
4472|    }
4473|
4474|    var chatButton = document.getElementById('openChat');
4475|    if (chatButton && chatModal) {
4476|        chatButton.addEventListener('click', function() {
4477|            if (typeof window.toggleChatModal === 'function') {
4478|                window.toggleChatModal();
4479|            }
4480|        });
4481|    }
4482|
4483|    var closeModalBtn = document.querySelector('.chat-modal-close');
4484|    if (closeModalBtn) closeModalBtn.addEventListener('click', function() { if (typeof window.toggleChatModal === 'function') window.toggleChatModal(); });
4485|
4486|    var toolCloseBtn = document.getElementById('mainToolClose');
4487|    if (toolCloseBtn) toolCloseBtn.addEventListener('click', function() { if (typeof window.toggleChatModal === 'function') window.toggleChatModal(); });
4488|
4489|    var mobileChatButton = document.getElementById('openChatMobile');
4490|    if (mobileChatButton) {
Request #28 deepseek-v4-flash P:35.26K C:199 CR:34.43K CW:0 2327ms
Reasoning
The javascripts block is empty in layoutAdmin (blocks filled by child templates). So where is jQuery loaded? Probably in the head via webpack/asset or earlier script. Given pages already rely on jQuery in metahuman-standard.js at parse time and in document ready at line 4437 (right after the block), jQuery must be loaded before that. Since these scripts come after layout content, jQuery loaded earlier likely via header scripts. The module executes right before produtividade-dashboard.js at parse time. If jQuery is loaded earlier in layout, fine. Let me check where jquery core is included in layoutAdmin.
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{"file_patterns": ["templates/layoutAdmin.html.twig"], "search_text": "jquery"}
File: templates/layoutAdmin.html.twig
Match lines: 19
81|<link rel="stylesheet" href="{{asset('css/jquery.alerts.css')}}" type="text/css" />
120|<!-- jQuery -->
121|<script src="{{asset('AdminLTE/plugins/jquery/jquery.min.js')}}"></script>
122|<script src="https://code.jquery.com/ui/1.13.2/jquery-ui.js"></script>
123|<script type="text/javascript" src="{{asset('js/jquery-migrate-1.1.1.min.js')}}"></script>
128|<!-- jQuery UI 1.11.4 -->
129|<script src="{{asset('AdminLTE/plugins/jquery-ui/jquery-ui.min.js')}}"></script>
132|<script type="text/javascript" src="{{asset('js/jquery.alerts.js')}}"></script>
3636|<!-- Resolve conflict in jQuery UI tooltip with Bootstrap tooltip -->
3644|<!-- jQuery Knob Chart -->
3645|<script src="{{ asset('AdminLTE/plugins/jquery-knob/jquery.knob.min.js') }}"></script>
3647|<script src="{{ asset('AdminLTE/plugins/overlayScrollbars/js/jquery.overlayScrollbars.min.js') }}"></script>
3661|<script src="{{ asset('AdminLTE/plugins/inputmask/min/jquery.inputmask.bundle.min.js') }}"></script>
3813|                    /* jQueryKnob */
3877|        /* END JQUERY KNOB */
3993|    jQuery(document).ready(function () {
4002|        // jQuery.AdminLTE.tree('.sidebar');
4010|    {# jQuery.ajax({
4213|    jQuery(document).on('DOMNodeInserted', '.btn_success_msg', function (e) {

Request #29 deepseek-v4-flash P:35.84K C:1.05K CR:35.33K CW:0 9642ms
Reasoning
jQuery is loaded at line 121 near top of layout (head?). So by the time bottom scripts run, jQuery exists. Module file safe. Now let me look for any issues with the module being added to the template - it's a `<script src>` with version cache bust; fine. Let me now think again about a genuine logic change from old code: In the old code, the question default was exactly: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.' New adds '...de Produtividade.' No functional impact. Now the confirmed findings both relate to produtividade-dashboard.js. The template diff seems benign. But let's double check template includes: The template adds `adriana-chart-analysis.js` but only after `print-report.js`. But there may be another copy of the script tag inside the inline script? No. Wait, I should verify chart_detail.html.twig in "other files" to see how they reference the module, but that's not needed. Now, let's revisit rules for produtividade-dashboard.js regarding contract with backend changed in this PR: The module's requestAnalysis builds the same endpoint. The response shape is compatible. Potential issue: module's `requestAnalysis` exposes a `request` method used by...? Not relevant to review files. Now one more consideration: In the old code, `setAnalysisLoading` disabled the button, which prevented double clicks. In the module, the click handler calls `setButtonLoading(button, true, ...)` — but doesn't guard against a second click before jQuery's disabled attribute... Actually once `button.disabled = true`, further click events on disabled buttons do not fire. So OK. Another subtle thing: In the module's `setButtonLoading`, if the module is used for a button whose label span is inside but `button.disabled` prevents toggling? Fine. Potential improvement: `requestAnalysis` uses jQuery and Promise. If jQuery `$.ajax` fails due to network or if jQuery throws (jQuery not loaded), the error is handled? jQuery absent would be a ReferenceError thrown synchronously inside `new Promise(executor)`, causing promise reject? Actually executor throw → reject automatically. It will reject with the ReferenceError → catch displays error in panel. Fine. Now is there a possibility that the review-group produtividade-dashboard.js change causes duplicate analysis button bindings from the old file plus chart_detail? Only one page. Given no further issues, maybe we only have the already-confirmed findings; but our instructions say we must not repeat them. Let me double check there isn't another issue that the prior pass missed. Consider: previously, clicking "Gerar Análise" showed toast notifications on error via `notify`. New module renders error inside the analysis panel instead. Acceptable improvement. Wait, but module error message contains escaped `message`, but `renderError` returns a `div.alert-warning`. The module creates panel under `.pa-prod-card`. But after error, no "Adriana" avatar/panel. Acceptable. Now check produtividade-dashboard.js still contains `normalizePercent`, etc. Fine. Now there's one more thing to examine: When no data is available, `setAnalysisVisible(key, false)` removes the panel if any. And new module flow will create panel and render content that persists. When filters change & reload, all hidden. When chart reloads with data, `setAnalysisVisible(key, true)` shows the button again, but existing panels from a previous analysis remain visible because the module doesn't track them, and old renderAnalysisResult also did not clear previous panel on new analysis? Actually old code replaced innerHTML. Fine. Now there is possibly an issue with the `period`/`currentFilters` object reused reference: Old code body JSON.stringify({filters: currentFilters||{}}). New module's `getFilters` returns `currentFilters||{}`. Then it does `filters: filters || {}` then JSON.stringify. Since currentFilters object is mutated elsewhere (bindPeriodSelect), but stringify happens at click time. Fine. Let me consider the possibility of a missing `analise_de_membro` module chart URL: not our file. Now let me also verify the produtividade-dashboard.js remains syntactically correct after removing functions: we saw the diff removed contiguous blocks. Let me read the area between 277 and 340 to confirm function boundaries are intact and there aren't dangling braces. Already read 255-330; lines 330 onwards destroyChart. Looks fine. Let me read 327-345 to confirm continuity.
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{"end_line": 340, "file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 320}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 320-340
320|    const day = days[best.dayIndex] || 'dia com maior concentração';
321|    const hour = hours[best.hourIndex] != null ? String(hours[best.hourIndex]).padStart(2, '0') + 'h' : 'horário de pico';
322|
323|    if (highPoints > 1) {
324|      return `O pico de produtividade ocorre em ${day}, às ${hour}, com ${normalizePercent(best.value)}%. A média dos horários mapeados é de ${normalizePercent(average.toFixed(1))}% e há ${highPoints} faixas com produtividade alta, indicando boas janelas para concentrar atividades críticas.`;
325|    }
326|
327|    return `O melhor ponto do período é ${day}, às ${hour}, com ${normalizePercent(best.value)}%. A média dos horários mapeados é de ${normalizePercent(average.toFixed(1))}%, sugerindo priorizar essa janela para tarefas de maior foco.`;
328|  }
329|
330|  function destroyChart(id) {
331|    const existing = chartRegistry.get(id);
332|    if (existing) {
333|      try { existing.destroy(); } catch (_) { /* noop */ }
334|      chartRegistry.delete(id);
335|    }
336|  }
337|
338|  // =====================================================================
339|  // HIGHCHARTS - CONFIG BASE
340|  // =====================================================================
Request #30 deepseek-v4-flash P:37.28K C:494 CR:36.86K CW:0 4633ms
Reasoning
Syntax fine. Now, let me examine the old code removed - between setHeatmapInsightVisible (which remains) and destroyChart. Between line 295 and 330 in the new file there was removal of requestAnalysis etc. Wait, in old file, order: setAnalysisLoading, getAnalysisPanel, renderAnalysisList, renderAnalysisResult, setHeatmapInsightVisible, buildHeatmapInsight, requestAnalysis?, destroyChart? Actually diff removed requestAnalysis at lines ~369-390. But reading shows buildHeatmapInsight goes straight into destroyChart. Old code had setHeatmapInsightVisible, buildHeatmapInsight, then requestAnalysis, then destroyChart. The diff removed requestAnalysis (from old area ~369-390) and left buildHeatmapInsight + destroyChart contiguous. Everything consistent. Now let me consider whether the JS review file introduces an actual bug in the bind config: `module: 'produtividade'` — but the actual API route's module string in PeopleAnalyticsApiController for this dashboard page? Chart ids like 'chart-produtividade-tempo' exist on route for module 'produtividade' (ChartResolver mapping). Let me check ChartResolver to confirm 'produtividade' module mapping matches chart ids and that backend chart resolution can find these chart ids given chart ids map. Also the member 'analise_de_membro' module unset of date filters when no 'periodo' passed. For produtividade dashboard they always include currentFilters with periodo if select present (default este-mes). Actually reloadAll initial: `currentFilters.periodo = 'este-mes'` set from select. Then requestAnalysis includes that. So filters include `periodo: 'este-mes'` → backend maps to start_date/end_date. Fine. Now look at the controller change for `analise_de_membro`, unaffected for produtividade module. Let me quickly check ChartResolver diff to see how chart id mapping works for 'chart-produtividade-tempo' etc.
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{"path_array": ["src/Service/PeopleAnalytics/Chart/ChartResolver.php", "src/Service/PeopleAnalytics/MemberAnalysisService.php"]}
==== FILE: src/Service/PeopleAnalytics/Chart/ChartResolver.php ====
diff --git a/src/Service/PeopleAnalytics/Chart/ChartResolver.php b/src/Service/PeopleAnalytics/Chart/ChartResolver.php
--- a/src/Service/PeopleAnalytics/Chart/ChartResolver.php
+++ b/src/Service/PeopleAnalytics/Chart/ChartResolver.php
@@ -69,6 +69,14 @@ class ChartResolver
 
         // 2. Normalizar filtros
         $normalizedFilters = $this->filterNormalizer->normalize($filters);
+        if (
+            $module === 'analise_de_membro'
+            && !isset($filters['periodo'])
+            && !isset($filters['start_date'])
+            && !isset($filters['end_date'])
+        ) {
+            unset($normalizedFilters['start_date'], $normalizedFilters['end_date']);
+        }
 
         // 3. Buscar dados do gráfico
         try {
==== FILE: src/Service/PeopleAnalytics/MemberAnalysisService.php ====
diff --git a/src/Service/PeopleAnalytics/MemberAnalysisService.php b/src/Service/PeopleAnalytics/MemberAnalysisService.php
--- a/src/Service/PeopleAnalytics/MemberAnalysisService.php
+++ b/src/Service/PeopleAnalytics/MemberAnalysisService.php
@@ -48,12 +48,18 @@ class MemberAnalysisService
      */
     public function getChartData(string $chartId, array $filters): array
     {
-        $memberId = $filters['member_id'] ?? null;
+        $memberId = $filters['member_id'] ?? $filters['membro'] ?? null;
+        if (!$memberId && !empty($filters['member_ids'])) {
+            $memberId = reset($filters['member_ids']);
+        }
         if (!$memberId) {
             throw new \InvalidArgumentException("member_id é obrigatório nos filtros para análise de membro");
         }
 
-        return match($chartId) {
+        $filters['member_id'] = (int) $memberId;
+        $filters['membro'] = [(int) $memberId];
+
+        $chartData = match($chartId) {
             'chart-linha-desempenho' => $this->getPerformanceLine($memberId, $filters),
             'chart-carga-produtividade' => $this->getWorkloadVsProductivity($memberId, $filters),
             'chart-tempo-atividade-membro' => $this->getTimeByActivityType($memberId, $filters),
@@ -63,6 +69,22 @@ class MemberAnalysisService
             'chart-scatter-prod-ausencia' => $this->getProductivityVsAbsenceScatter($memberId, $filters),
             default => throw new \InvalidArgumentException("Gráfico não encontrado: {$chartId}")
         };
+
+        return array_merge($this->chartMetadata($chartId), $chartData);
+    }
+
+    private function chartMetadata(string $chartId): array
+    {
+        return match ($chartId) {
+            'chart-linha-desempenho' => ['title' => 'Linha de Desempenho', 'type' => 'line'],
+            'chart-carga-produtividade' => ['title' => 'Carga de Trabalho vs Produtividade', 'type' => 'line'],
+            'chart-tempo-atividade-membro' => ['title' => 'Tempo por Tipo de Atividade', 'type' => 'donut'],
+            'chart-entregas-projeto' => ['title' => 'Entregas por Projeto', 'type' => 'bar'],
+            'chart-boxplot-equipe-membro' => ['title' => 'Produtividade da Equipe com Membro Destacado', 'type' => 'boxplot'],
+            'chart-ranking-produtividade' => ['title' => 'Ranking de Produtividade', 'type' => 'bar'],
+            'chart-scatter-prod-ausencia' => ['title' => 'Produtividade vs Ausência', 'type' => 'scatter'],
+            default => ['title' => 'Análise Individual', 'type' => 'unknown'],
+        };
     }
 
     // ==========================================
Request #31 deepseek-v4-flash P:38.75K C:510 CR:37.76K CW:0 3919ms
Reasoning
Wait, there's something important: MemberAnalysisService match includes 'chart-entregas-projeto' with id `'chart-entregas-projeto'`, while produtividade's ANALYSIS_CHART_ID for 'entregas-projeto' maps to `'chart-volume-entregas'`. So distinct. Fine. The produtividade charts: 'chart-produtividade-tempo', 'chart-volume-entregas', 'chart-entregas-equipe', 'chart-prod-vs-ausencias-tempo'. Wait prod vs ausencias chart id in ANALYSIS_CHART_ID is 'chart-prod-vs-ausencias-tempo' while the HTML chart container id is 'chart-prod-vs-ausencias'. In the new backend route with ChartResolver, does produtividade module support these chart ids? ChartResolver presumably maps chart ids to data services by module. If the chart data for 'chart-prod-vs-ausencias-tempo' isn't resolvable in ChartResolver, would have returned error? But these endpoints existed pre-PR (the old code already used the same ids). So no regression. But actually this whole refactor is a move to a NEW unified endpoint `/people-analytics/api/{module}/chart/{chartId}/ai-analysis` in PeopleAnalyticsApiController, replacing per-module controllers' ai-analysis endpoints? Let me check old produtividade API_BASE = '/people-analytics/api/produtividade'. Old code posted to `${API_BASE}/chart/${chartId}/ai-analysis` i.e. `/people-analytics/api/produtividade/chart/.../ai-analysis` — same as new. So the controller existed before (in ProdutividadeController?). Actually old route '/people-analytics/api/produtividade/chart/{chartId}/ai-analysis' existed? The PeopleAnalyticsApiController now handles '/people-analytics/api/{module}/chart/{chartId}/ai-analysis'? Let me check if route prefix changed. Let's read PeopleAnalyticsApiController top to see route.
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{"end_line": 110, "file_path": "src/Controller/PeopleAnalyticsApiController.php", "start_line": 1}
File: src/Controller/PeopleAnalyticsApiController.php (Total lines: 170)
IS_TRUNCATED: false
LINE_RANGE: 1-110
1|<?php
2|
3|namespace App\Controller;
4|
5|use App\Security\UserContext;
6|use App\Service\PeopleAnalytics\Chart\ChartAiAnalysisService;
7|use App\Service\PeopleAnalytics\Chart\ChartFilterNormalizer;
8|use Psr\Log\LoggerInterface;
9|use Symfony\Bundle\FrameworkBundle\Controller\AbstractController;
10|use Symfony\Component\HttpFoundation\JsonResponse;
11|use Symfony\Component\HttpFoundation\Request;
12|use Symfony\Component\Routing\Annotation\Route;
13|
14|/**
15| * Controller para API REST do People Analytics
16| * Endpoints para análise de IA, filtros dinâmicos, exports, etc.
17| */
18|#[Route('/people-analytics/api')]
19|class PeopleAnalyticsApiController extends AbstractController
20|{
21|    public function __construct(
22|        private UserContext $userContext,
23|        private LoggerInterface $logger
24|    ) {}
25|
26|    /**
27|     * Endpoint para análise de IA de um gráfico
28|     * 
29|     * 🔮 FOCO PRINCIPAL: Análises Preditivas e Projeções
30|     * 
31|     * Este endpoint suporta dois tipos de análise:
32|     * 
33|     * 1. ANÁLISE DESCRITIVA (atual): O que aconteceu e está acontecendo
34|     * 2. ANÁLISE PREDITIVA (projeções): O que vai acontecer no futuro ⭐
35|     * 
36|     * PROJEÇÃO = A partir dos dados atuais, prever uma variação %X 
37|     * da variável Y para data futura t
38|     * 
39|     * Exemplo de Projeção:
40|     * "Com taxa de rotatividade histórica de 15% + características atuais 
41|     * (salários, bem-estar, engajamento), prevê-se um AUMENTO para 22% 
42|     * nos próximos 6 meses, com MAIOR RISCO no departamento de Tecnologia"
43|     * 
44|     * POST /people-analytics/api/{module}/chart/{chartId}/ai-analysis
45|     * 
46|     * Body para Análise Descritiva: {
47|     *   "filters": {...},
48|     *   "question": "Explique os principais insights e pontos de atenção"
49|     * }
50|     * 
51|     * Body para Análise Preditiva (Projeção): {
52|     *   "filters": {...},
53|     *   "question": "Qual será a taxa de rotatividade nos próximos 6 meses?",
54|     *   "analysis_type": "projection",
55|     *   "projection_config": {
56|     *     "time_horizon": "6 months",
57|     *     "target_variable": "turnover_rate",
58|     *     "breakdown_by": ["department", "seniority"]
59|     *   }
60|     * }
61|     * 
62|     * Casos de Uso de Projeções:
63|     * - Prever aumento/redução de rotatividade
64|     * - Projetar custos futuros com pessoas
65|     * - Antecipar queda de engajamento (eNPS)
66|     * - Simular impacto de políticas de D&I
67|     * - Prever aumento de absenteísmo
68|     * 
69|     * 📚 Documentação completa: docs/people-analytics/ai_analysis/PROJECOES_IA.md
70|     */
71|    #[Route('/{module}/chart/{chartId}/ai-analysis', name: 'people_analytics_api_chart_ai_analysis', methods: ['POST'])]
72|    public function chartAiAnalysis(
73|        Request $request,
74|        string $module,
75|        string $chartId,
76|        ChartAiAnalysisService $aiAnalysisService,
77|        ChartFilterNormalizer $filterNormalizer
78|    ): JsonResponse {
79|        try {
80|            // Validar módulo
81|            $validModules = [
82|                'saude_organizacional',
83|                'atracao_retencao',
84|                'produtividade',
85|                'visao_geral_custos',
86|                'diversidade_inclusao',
87|                'engajamento',
88|                'bem_estar_ausencia',
89|                'analise_de_membro'
90|            ];
91|
92|            if (!in_array($module, $validModules)) {
93|                return new JsonResponse([
94|                    'success' => false,
95|                    'error' => 'Módulo inválido'
96|                ], 400);
97|            }
98|
99|            // Parsear request body
100|            $data = json_decode($request->getContent(), true);
101|            if (json_last_error() !== JSON_ERROR_NONE) {
102|                return new JsonResponse([
103|                    'success' => false,
104|                    'error' => 'JSON inválido'
105|                ], 400);
106|            }
107|
108|            $rawFilters = $data['filters'] ?? [];
109|            $filters = $rawFilters;
110|            $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção';
Request #32 deepseek-v4-flash P:40.54K C:127 CR:39.17K CW:0 1492ms
Reasoning
Route is generic; validModules includes 'produtividade'. Good. Now, I should read the full controller to see response and CSRF handling. Let me continue reading 110-170.
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{"end_line": 170, "file_path": "src/Controller/PeopleAnalyticsApiController.php", "start_line": 110}
File: src/Controller/PeopleAnalyticsApiController.php (Total lines: 170)
IS_TRUNCATED: false
LINE_RANGE: 110-170
110|            $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção';
111|
112|            // Normalizar filtros
113|            $filters = $filterNormalizer->normalize($filters);
114|
115|            if (
116|                $module === 'analise_de_membro'
117|                && !isset($rawFilters['periodo'])
118|            ) {
119|                unset($filters['start_date'], $filters['end_date']);
120|            }
121|
122|            // Adicionar contexto do usuário (company, permissões)
123|            $company = $this->userContext->getCompany();
124|            if ($company) {
125|                $filters['company_id'] = $company->getId();
126|            }
127|
128|            // Chamar service de análise
129|            $result = $aiAnalysisService->analyze($module, $chartId, $filters, $question);
130|            if (!$result['success']) {
131|                return new JsonResponse($result, 500);
132|            }
133|
134|            return new JsonResponse($result);
135|
136|        } catch (\Exception $e) {
137|            $this->logger->error('[API] Erro na análise de IA', [
138|                'module' => $module,
139|                'chartId' => $chartId,
140|                'error' => $e->getMessage(),
141|                'trace' => $e->getTraceAsString()
142|            ]);
143|
144|            return new JsonResponse([
145|                'success' => false,
146|                'error' => 'Erro ao processar análise: ' . $e->getMessage()
147|            ], 500);
148|        }
149|    }
150|
151|    /**
152|     * Endpoint para verificar status da IA (healthcheck)
153|     * 
154|     * GET /people-analytics/api/ai/health
155|     */
156|    #[Route('/ai/health', name: 'people_analytics_api_ai_health', methods: ['GET'])]
157|    public function aiHealth(): JsonResponse
158|    {
159|        return new JsonResponse([
160|            'success' => true,
161|            'status' => 'operational',
162|            'provider' => 'deepseek',
163|            'model' => 'deepseek-chat',
164|            'timestamp' => (new \DateTime())->format('c')
165|        ]);
166|    }
167|}
168|
169|
170|
Request #33 deepseek-v4-flash P:41.29K C:1.02K CR:40.58K CW:0 8897ms
Reasoning
The backend route accepts module 'produtividade' and filters include company_id added server-side. Note: the backend normalizes filters with company context added but ChartFilterNormalizer might drop the 'member_id' unless in keyMappings... not relevant to produtividade dashboard. Now, one subtlety: FilterNormalizer added 'membro' => 'member_ids' mapping. The produtividade dashboard's `currentFilters` might include 'member_id'? In individual analysis pages, the UI passes 'membro' etc. For produtividade module, member_id may not be used. Not our file issue. Now, I'm fairly convinced the review group files only have the two confirmed findings. But let me scan the produtividade-dashboard.js diff again to ensure there are no other newly-introduced issues in the added code (bindUiActions snippet). There's one subtle: `if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { ... }` - if module present, bind executes using jQuery. All good. Also the `notify` function at 1294 that remains unused - confirmed. And there's potential leftover `toastr` global usage; note the template/layout configures toastr. Wait, is `notify` used anywhere else within the file that code_search missed because it's called `notify(` inside catch? Search for `notify(` found only definition. Confirmed dead. But before finalizing: the checklist for produtividade-dashboard.js includes "Contracto quebrado com backend" - Let me verify the endpoint returns json with `success` boolean and `ai_analysis`. Yes backend returns those. Module's `requestAnalysis` checks `json.success !== true`. Good. Let me re-inspect the module's ajax to see if it sends credentials: not needed. Hmm, one more thing worth verifying: the module uses `$.ajax` with `data` already a JSON string and `contentType: 'application/json'`, but jQuery would normally convert `data` object to query string; passing a string is correct with application/json content type. Good. Now think about possible problem with the confirmed finding #2 "escapeHtml e notify agora sem chamada". Wait — is `escapeHtml` really not used? Let me double-check: search for 'escapeHtml(' in the file shows only definition at line 163? Earlier code_search with pattern listed only line 163 for escapeHtml. Actually the search pattern `setAnalysisVisible|getAnalysisPanel|escapeHtml|notify\(...` matched line 163 (definition). It might not have matched calls if calls exist as `escapeHtml(x)` — that should match. So no other match. Dead. But wait — there could be another helper named escapeHtml in module etc. Not needed. Now the review group includes only two files. Given the instruction that "Previously Confirmed Findings... Do not repeat them", and I've found no new issues, maybe I should just confirm review is done, calling task_done after summarizing. But hold on—should I double check the template file for whether the new script include may be duplicated from `print-report.js` needing the module? no. Let me search the produtividade template and chart_detail template to check that the module is included only once and page for 'analise_de_membro' (chart_detail) also adds it. Actually, since chart_detail.html.twig is NOT in review group, no comments for it. Let me consider once more if there's any possible issue in template review file: The added script tag includes `?v={{ 'now'|date('YmdHis') }}`. All module scripts use this pattern. fine. One issue: ordering with cache-busting? fine. Is there a possibility that in produtividade dashboard the `.pa-prod-analysis` button is also matched by attraction-retencao module scripts that run on the same page? Only one module script per page. Let me also verify that only produtividade template loads produtividade-dashboard.js (no other template uses it without module script). Search for "produtividade-dashboard.js" in templates.
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{"search_text": "produtividade-dashboard.js", "file_patterns": ["templates/"]}
File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 1
358|	<script src="{{ asset('js/people-analytics/modules/produtividade-dashboard.js') }}?v={{ 'now'|date('YmdHis') }}"></script>

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{"end_line": 1200, "file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 1135}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 1135-1200
1135|    if (state.page < 0) state.page = 0;
1136|
1137|    const start = state.page * state.pageSize;
1138|    const end = Math.min(start + state.pageSize, state.total);
1139|
1140|    return { start, end };
1141|  }
1142|
1143|  function getPagerTotalPages(key) {
1144|    const state = pagerState[key];
1145|    if (!state || !state.total || !state.pageSize) return 0;
1146|    return Math.ceil(state.total / state.pageSize);
1147|  }
1148|
1149|  function updatePager(key) {
1150|    const container = document.querySelector(`[data-pager="${key}"]`);
1151|    if (!container) return;
1152|
1153|    const pager = container.querySelector('.pa-prod-pager__label');
1154|    const prevBtn = container.querySelector('[data-pager-action="prev"]');
1155|    const nextBtn = container.querySelector('[data-pager-action="next"]');
1156|    const state = pagerState[key] || { page: 0, pageSize: 5, total: 0 };
1157|    const total = state.total || 0;
1158|
1159|    if (!total || total <= 0) {
1160|      if (pager) pager.textContent = '0 itens';
1161|      if (prevBtn) prevBtn.disabled = true;
1162|      if (nextBtn) nextBtn.disabled = true;
1163|      return;
1164|    }
1165|
1166|    const page = slicePagerPage(key);
1167|    const totalPages = getPagerTotalPages(key);
1168|
1169|    if (pager) pager.textContent = `${page.start + 1}–${page.end} de ${total}`;
1170|    if (prevBtn) prevBtn.disabled = state.page <= 0;
1171|    if (nextBtn) nextBtn.disabled = state.page >= totalPages - 1;
1172|  }
1173|
1174|  function changePagerPage(key, direction) {
1175|    const state = pagerState[key];
1176|    if (!state || !state.payload || !state.total) return;
1177|
1178|    const totalPages = getPagerTotalPages(key);
1179|    const nextPage = Math.max(0, Math.min(totalPages - 1, state.page + direction));
1180|    if (nextPage === state.page) {
1181|      updatePager(key);
1182|      return;
1183|    }
1184|
1185|    state.page = nextPage;
1186|
1187|    if (key === 'entregas-projeto') {
1188|      renderEntregasProjetoPage();
1189|    } else if (key === 'entregas-equipe') {
1190|      renderEntregasEquipePage();
1191|    }
1192|  }
1193|
1194|  // =====================================================================
1195|  // EVENTOS / FILTROS
1196|  // =====================================================================
1197|  function bindUiActions() {
1198|    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
1199|      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
1200|        module: 'produtividade',
Request #34 deepseek-v4-flash P:43.22K C:3K CR:42.24K CW:0 26076ms
Reasoning
Alright. Now let me look at the pagination + analysis interplay. When the user is on entregas-projeto/equipe pager and clicks "Gerar Análise" - the analysis covers chart data under the current page? Since the module posts filters only, not the pager state (page). Old requestAnalysis likewise didn't send page info. The backend probably analyzes whole chart dataset. The pager is client-side view. Not a regression. Now consider once more the possibility that the module's `renderError` is only appended when `panel` exists; if `panel` is null (no card) but chartId exists, no feedback. But buttons are inside cards. Let me now think about whether the old setAnalysisLoading/label approach differs in what happens when the request returns but the button was re-enabled/hidden by a reload? Not really. OK - I'm satisfied there are no *new* distinct issues besides the two confirmed. But before concluding, let's double-check the produtividade-dashboard.js diff top region: The first removed block removed function `setAnalysisLoading` but `setAnalysisVisible` still toggles `btn.disabled` when no data; note the new module disables the button during analysis (`button.disabled = true`). There is a conflict: if a dashboard reload happens while a request is in flight and data is empty for that chart, `setAnalysisVisible(key, false)` sets btn.disabled = true and hidden. Meanwhile module's finally resets `setButtonLoading(false)` → button.disabled = false even though it should remain hidden/disabled because chart has no data. Old code: same issue? Old code's finally also re-enabled the button regardless. But old setAnalysisVisible... The old setAnalysisVisible removed the panel if empty. If data arrives empty mid-analysis, then the button gets re-enabled by .finally while hidden is true (hidden attribute separate). So a hidden button gets re-enabled. Both old and new share similar quirks, minor. Actually wait, there is a difference: old `setAnalysisLoading(key, false)` after request restored the label to 'Gerar Análise' and re-enabled the button. New module's `setButtonLoading(button, false)` does the same. Identical. Alright, maybe I should examine a scenario with initial state: On page load, buttons hidden until chart data loads. Then visible. Bind done at init for buttons. Good. Consider the possibility of two modules on the same page (chart_detail + produtividade)? Not this page. Now let me review once more the removal area to make sure a previously exported helper for other modules isn't referenced, e.g. heatmap insight 'Adriana' text uses escapeHtml? No, it builds plain text. I'm now fairly sure the only issues are the two confirmed findings. Given we cannot repeat them, are there any more? Let's check the code between lines 1197-1208 (the added bind config) more carefully for quality: - `getFilters` function returns `currentFilters || {}`. If `currentFilters` is empty object, fine. - `chartMap: ANALYSIS_CHART_ID` - module uses `chartMap[key]`. key = data-analysis attr. matches. One more potential nuance: The module `bind` uses `$(selector).each(function(){...})` where selector `.pa-prod-dash .pa-prod-analysis[data-analysis]`; matches 4 buttons. Each gets `data-adriana-analysis-bound='1'`. OK. Now, is there any risk with respect to the 'produtividade-tempo' chart being created from `reloadAll` that may re-render `.pa-prod-analysis`? No. Now think about the rules for produtividade-dashboard.js review and prior confirmed findings summary. Actually there might be something about duplicated logic - the removed code was extracted to a shared module across files, that's the whole point (dedupe). Other dashboards (saude_organizacional, attraction-retencao, cost-analysis) still have their own copy of the same analysis logic (setAnalysisLoading/renderAnalysisResult/requestAnalysis patterns) in their files; but those files are unchanged by this PR (except produtividade), so no new duplication added. We only review files in review group, though cross-file observations within the review files are encouraged. There's no new duplication introduced in the review files. And the module is meant to be used going forward. Actually wait, there could be a point: produtividade-dashboard.js still retains functions that are now duplicates of the shared module logic: `getAnalysisPanel` (line 280) and `setAnalysisVisible` (268) vs the module's `getOrCreatePanel`. Not exactly duplicate — setAnalysisVisible used for visibility. `getAnalysisPanel` local version is basically the same as module's getOrCreatePanel; but that local function was kept because setDashboardLoading etc. use it. Not dead. Let me verify that `escapeHtml` at line 163 might still be intended for future use... but flagged already as dead code #2. Right. OK. Let me be thorough about the template review file: any missing attribute for the analysis button? Template didn't change those lines. Wait—There's an important consideration regarding the module loading and jQuery. The produtividade-dashboard template already includes `js/metahuman-standard.js`, highcharts, print-report.js, adriana-chart-analysis.js, produtividade-dashboard.js. adriana-chart-analysis.js runs `(function ($) {...})(jQuery)` at parse. jQuery loaded from layout head at line 121. This page is inside layoutAdmin where line 121 jQuery is near top - let's confirm line 121 is within `<head>` (scripts before body content). Yes likely. Now also note: The `chart_detail.html.twig` also uses the module (out of scope) but maybe loads jQuery? Not our concern. OK final decision: no new issue beyond confirmed ones in review-group files. Actually, let me reconsider one more subtle but real issue in the added bind config relative to old behavior: The old code bound a click listener to EVERY `[data-analysis]` element, using `requestAnalysis`. Now binding occurs inside the shared module only if the module file is loaded — since the same PR adds the file to this template, that's consistent. Already flagged #1. Now also consider: On the produtividade page, the old code returned early in requestAnalysis if no chartId (`if (!chartId) return;`). New module shows error message when chartMap lacks key. Fine. Now let me also review the diff area in the file where `renderAnalysisResult` and others removed - could removing `escapeHtml` usage cause content to render in module but there might be panels in static HTML templates referencing functions like `getAnalysisPanel`? Not in template (no inline). The template only adds a script tag. Let me now confirm no other files within review group. Done: two files. Given there are no additional real issues found beyond those previously confirmed, I'll write the final response summarizing review and call task_done. Wait: But the instructions said "Continue reviewing all files ... and report any other real issues you find." Since confirmed findings should not be repeated, and I've found nothing else, maybe I should not produce comments at all and finish. But let me reconsider two candidate issues: Candidate A: The module's `renderError` and analysis panels remain in the DOM when reload occurs with empty data; but the old code path removed panel on empty chart. `setAnalysisVisible(false)` removes panel via getAnalysisPanel. But this only happens when reload is triggered after a chart returns empty. But module renders results asynchronously after response arrives; if by then user had changed filters (reload happened), the module's captured `panel` reference may be a stale node that was removed. Results silently lost. In old code, `renderAnalysisResult` did `getAnalysisPanel(key, true)` — it would create a NEW panel at the time of the response and render stale content under the new filters (also wrong, but visible). Neither is correct; but new behavior differs: silent drop. This is an edge-case regression but low severity and arguably a bug in the module (out-of-review-group file). The trigger is in the review file only in the sense bind/getFilters live there, but the drop behavior comes from module. Since module file isn't in review group, I shouldn't comment on module code; commenting on produtividade-dashboard.js bind config about stale results is a stretch. Candidate B: In the new bind, question set: same as old. no. Candidate C: Double-binding on re-init: The guard uses a DOM dataset; if DOM was cloned/replaced (charts not buttons), no issue. Candidate D: For template: If user lands on page before deployment finished and produtividade-dashboard.js (new) cached while adriana module... both new with cache bust. fine. I think we can close without new comments. But wait — maybe there's a real, more central issue: The shared module expects to be included on pages using the *same* `.pa-prod-analysis-panel` CSS and DOM structure. That's fine. Let me also verify no syntax error around the removed section in diff hunk where `setHeatmapInsightVisible` function was kept but renderAnalysisList previously referenced `escapeHtml` (removed from module) — produtividade file retains escapeHtml (dead). already flagged. Given the final answer, I'll summarize review and call task_done. Actually, wait. Let me reconsider the template change once more for a **real, previously unreported concern**: The new script tag is placed AFTER `print-report.js` and BEFORE `produtividade-dashboard.js`. But `produtividade-dashboard.js` doesn't depend on the shared module at *parse time* — it checks at bindUiActions time (DOMContentLoaded). So even if ordering reversed it would still be fine. No issue. And whether the module file is missing on pages where produtividade-dashboard.js might also be used — only this page includes it, and this page includes the module. Consistent. Let me consider cache: the `?v='now'` includes force no cache. Both script tags in same block; the module file 180 lines loads before produtividade-dashboard.js. Good. Alright, let me consider the risk that the shared module's inclusion into *produtividade* template could load it twice if chart_detail's template extended... no. I'll conclude no new issues. Hmm, but let me reconsider one more: In module `setButtonLoading`, `button.dataset.originalAnalysisLabel` persists across multiple analyses. If page language changes or button label changes dynamically after first click, the label won't be updated. The label is static 'Gerar Análise'. Not an issue. Let me reconsider whether the new flow respects the module variable for pagination and the current data slice that actually loaded. Old flow, requestAnalysis didn't include pager either. One last check: the analysis endpoint may 400 when the dashboard's currentFilters has keys like 'periodo'='mes-passado' with missing date etc. Not related. Also `periodo` value from prodPeriodSelect e.g. 'este-mes' -> ChartFilterNormalizer maps to date range? The dashboard data loading uses separate backend endpoint. For AI analysis filters, period recognized? Backend ChartFilterNormalizer likely maps 'periodo' to start/end dates; but maybe unknown to filter normalizer (keyMappings list earlier includes? we saw only part). Old flow passed same filters and presumably worked. OK, I'll wrap up. Given no new issues, I should not post code comments for repeated findings. I'll finalize with a concise summary in pt-BR and call task_done.
Revisei os dois arquivos do grupo de revisão, conferindo o contrato com o novo módulo compartilhado `adriana-chart-analysis.js` (arquivo fora do grupo, usado como referência) e com o backend alterado nesta mesma PR (`PeopleAnalyticsApiController`, `ChartAiAnalysisService`, `ChartResolver`, `MemberAnalysisService`). **public/js/people-analytics/modules/produtividade-dashboard.js** - Remoção das funções locais de análise (`requestAnalysis`, `renderAnalysisResult`, `renderAnalysisList`, `setAnalysisLoading`) e delegação para `window.PeopleAnalytics.AdrianaChartAnalysis.bind(...)`. - O contrato confere: mesmo endpoint (`/people-analytics/api/produtividade/chart/{chartId}/ai-analysis`), mesmo `chartMap` (`ANALYSIS_CHART_ID`), mesmo formato de payload (`filters` + `question`) e campos de resposta usados pelo renderer (`success`, `ai_analysis.{title,summary,key_insights,attention_points,recommended_actions,limitations}`) existem no backend. Os seletores da página (`.pa-prod-dash .pa-prod-analysis[data-analysis]`, `.pa-prod-card`, `data-analysis-panel`) batem com o markup do template. - Não encontrei regressão funcional nova além dos dois achados já confirmados na passada anterior (falha silenciosa se o módulo não carregar; `escapeHtml`/`notify` agora órfãos). **templates/people_analytics/produtividade_dashboard.html.twig** - A adição da tag do módulo compartilhado antes do `produtividade-dashboard.js` é coerente: o jQuery já é carregado no layout (`layoutAdmin.html.twig` linha 121) e o bind ocorre apenas no `DOMContentLoaded` via `init()`. Não há risco de XSS (`renderError`/`renderList` do módulo escapam conteúdo antes de inserir no painel) nem de script duplicado. Não identifiquei outros problemas reais nos arquivos do grupo de revisão.
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{"state": "DONE"}

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Request #1 deepseek-v4-flash P:4.13K C:704 CR:3.33K CW:0 5866ms
Reasoning
Let me analyze the two comments. c-0: The comment discusses the new `if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis)` bind block with no else/log. It says if the shared module isn't available, the buttons don't get listeners and no log. It suggests adding console.warn. The subject is the diff of produtividade-dashboard.js which indeed contains this code. Is the comment factually wrong? The diff shows the if block without else. The claim: no listener if module missing — that is consistent with the diff. The comment is about behavior/robustness. This is not a protected subject per se... Actually is it behavioral? It describes missing error logging. Hmm. But the central claim — that the code lacks an else/fallback — is directly visible in the diff: the if statement has no else clause. So comment is true. Approve. c-1: The comment claims that after removal, two functions are now uncalled: `escapeHtml` (line ~163) and `notify` (line ~1294). Wait — the diff removes `renderAnalysisResult` etc. But the claim "escapeHtml and notify now have only the definition, no calls" — can we verify from the diff? The diff removes functions that called escapeHtml (renderAnalysisList, renderAnalysisResult) and notify (requestAnalysis). But we can't see whether escapeHtml and notify are still used elsewhere in the file. The diff is large (1300+ lines) and we only see part. escapeHtml might still be used in other functions not shown. Also notify might be used elsewhere. Actually the comment claims "two functions ficaram sem nenhuma chamada no arquivo" (now have no calls in the file). To prove this false we'd need a diff line showing escapeHtml or notify being called. Not visible. To prove it true we'd need full file. Unverifiable — approve. Also the comment targets code not in the diff? It's about functions that exist in the file but are now uncalled. This is a claim we can't verify. Not Ground A or B since we can't point to specific diff lines. Wait, could it be Ground A? The comment describes escapeHtml and notify definitions — not present in diff as removed? Actually the comment targets "functions that remain defined but unused" — neither the definition nor usage is in the diff for escapeHtml/notify. But absence of the code in the diff doesn't prove the comment wrong. Ground A requires the comment describes code that is absent from subject file's diff. Hmm, but escapeHtml/notify definitions could be elsewhere in the file not shown. The comment's claim is about usage count — we can't confirm. Also, is this a protected subject? "unused parameter" no. Behavioral change? No. It's about dead code cleanup — readability. Under value veto, we approve if what it states is true. We can't verify truth. So approve. Actually wait — could notify still be used in error paths in code not removed? The removed requestAnalysis used notify in .catch. But other functions may call notify too. We can't verify. Approve. So approve all comments.
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{}