Session: bbd3d41a-bb05-4eea-ab1f-35251a23de88

CWD: /var/lib/metahuman-ocr-worker/work/job-127/worktree Branch: HEAD Mode: range From: origin/new_staging2 To: origin/bugfix/pa-adriana-bem-estar-custos Model: deepseek-v4-flash Duration: 14m29s Files: 8 Status: complete

Coverage

8
Selected
8
Completed
0
Reused
0
Failed
0
Waived

Token Usage

3.87M
Prompt Tokens
101.61K
Completion Tokens
3.98M
Total Tokens
71
LLM Requests
3.73M
Cache Read
0
Cache Write
File breakdown 2 files
FilePromptCompletionCache ReadCache WriteTotal
public/js/people-analytics/modules/adriana-chart-analysis.js… 3.87M 95.58K 3.73M0 3.97M
File Grouping 440 6.04K 00 6.48K

Review Comments (5 findings)

Severity:
Category:
public/js/people-analytics/modules/adriana-chart-analysis.js 1 comments
security high L115-L118
Essas novas chamadas de IA enviam somente os filtros escolhidos na tela, e o endpoint usado (PeopleAnalyticsApiController → /people-analytics/api/{module}/chart/{chartId}/ai-analysis) não aplica, no servidor, as mesmas restrições de escopo que os demais endpoints de People Analytics aplicam (applyPermissionFilters força membro/equipe para perfis self/team). Para um gestor com visão restrita à própria equipe, o gráfico na tela é filtrado, mas a resposta da Adriana pode conter números de custo, folha e risco da empresa inteira — vazamento de dado fora da permissão do usuário. Como essa garantia não pode ser resolvida no cliente, é preciso confirmar que o backend da rota de IA aplica as mesmas restrições por escopo (ou limitar o recurso a quem tem escopo companhia) antes de liberar o botão para perfis restritos.
Existing Code
        data: JSON.stringify({
          filters: filters || {},
          question: question,
        }),
public/js/people-analytics/modules/produtividade-dashboard.js 1 comments
maintainability low L1198-L1200
A refatoração desta PR removeu o fluxo antigo de análise (requestAnalysis), que era o único chamador da função notify(msg) ainda declarada neste arquivo. Ela ficou como código morto, enquanto o cost-analysis-dashboard.js — que passou pela mesma refatoração — removeu a equivalente. Recomendo apagar notify deste módulo também, para não manter duas versões de tratamento de erro/toast espalhadas (uma viva no helper compartilhado e outra sem uso aqui).
Existing Code
    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
        module: 'produtividade',
public/js/people-analytics/modules/well-being-absence-dashboard.js 1 comments
maintainability low L794-L796
Essas funções (escapeHtml, firstMeaningfulAnalysisText e o fluxo requestFinalQuestionAnalysis/renderFinalQuestionResponse) foram copiadas quase idênticas entre este módulo e o cost-analysis-dashboard.js, apesar de esta própria PR ter criado o helper compartilhado para centralizar a análise da Adriana. Isso deixa o contrato de leitura da resposta da IA (summary/key_insights/etc.) duplicado em dois lugares — quando o formato do backend mudar, é fácil corrigir em um módulo e esquecer no outro. Sugiro exportar essas utilidades (extrair o primeiro texto útil e escapar HTML) pelo PeopleAnalytics.AdrianaChartAnalysis e reutilizá-las nos dois módulos.
Existing Code
  function firstMeaningfulAnalysisText(analysis) {
    if (!analysis) return '';
    if (analysis.summary) return analysis.summary;
src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php 2 comments
maintainability medium L428-L431
Este controller já tem quase 900 linhas e concentra orquestração HTTP, adaptação de payloads e a própria redação dos textos/insights (vários métodos adapt*/risk*/critical*); esta PR adiciona mais decisão de negócio no mesmo lugar — o cálculo de hasMeaningfulData, a nova mensagem de fallback de "dados insuficientes" e a condição revisada em suggestedQuestions. Aumentar esse padrão dificulta testar a regra isoladamente; o ideal é extrair a montagem dos insights e perguntas para um serviço/query dedicado, deixando o controller apenas como orquestrador. Essa nova regra de recorte vazio vs. com dados também ficou sem teste automatizado cobrindo o endpoint /insights nos dois cenários.
Existing Code
        $hasMeaningfulData = $costTotal > 0
            || $mainCause !== null
            || count($criticalAreas) > 0
            || ($risk['high'] + $risk['medium']) > 0;
bug medium L443-L444
Em um recorte sem dados, apenas o texto 'final' passa a mostrar a mensagem de dados insuficientes, mas os outros textos retornados no mesmo payload continuam afirmando conclusões sobre o período vazio: a leitura executiva exibe 'Absenteísmo em —%... 0 colaboradores...' e o ponto de atenção de custo diz 'A redução de reincidência em áreas críticas tende a ter maior retorno financeiro' mesmo com componentes '—'. Como esses três blocos aparecem juntos na tela de Bem-estar/Ausência, o usuário vê uma recomendação de ação ao lado da mensagem de 'sem dados conclusivos' — exatamente o insight enganoso que esta PR declara evitar. Vale aplicar a mesma condição de $hasMeaningfulData aos demais campos (executive/cost_attention) ou neutralizá-los quando for false.
Existing Code
            'final' => !$hasMeaningfulData
                ? 'Ainda não há dados suficientes neste recorte para gerar uma leitura conclusiva de bem-estar, ausência e custo. Amplie o período ou ajuste os filtros para obter uma análise mais confiável.'
Files Reviewed 8 files
  • public/js/people-analytics/modules/adriana-chart-analysis.js
  • templates/people_analytics/cost_analysis_dashboard.html.twig
  • templates/people_analytics/produtividade_dashboard.html.twig
  • public/js/people-analytics/modules/well-being-absence-dashboard.js
  • public/js/people-analytics/modules/produtividade-dashboard.js
  • public/js/people-analytics/modules/cost-analysis-dashboard.js
  • src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php
  • templates/people_analytics/well_being_absence_dashboard.html.twig
Session Tasks 1 tasks
File Grouping 1 requests

grouping_task

Request #1 deepseek-v4-flash P:440 C:6.04K 45919ms
Reasoning
We need to group changed files into semantically related clusters. Files: 1. public/js/people-analytics/modules/adriana-chart-analysis.js (new) 2. public/js/people-analytics/modules/cost-analysis-dashboard.js (modified) 3. public/js/people-analytics/modules/produtividade-dashboard.js (modified) 4. public/js/people-analytics/modules/well-being-absence-dashboard.js (modified) 5. src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php (modified) 6. templates/people_analytics/cost_analysis_dashboard.html.twig (modified) 7. templates/people_analytics/produtividade_dashboard.html.twig (modified) 8. templates/people_analytics/well_being_absence_dashboard.html.twig (modified) We need to group by module/feature. People Analytics modules: cost-analysis, produtividade, well-being-absence. Also adriana-chart-analysis.js sounds like a new chart module, perhaps related to well-being absence? The name "adriana-chart-analysis" maybe a specific chart for people analytics. Could be used by one of the dashboards. Need to infer. All JS files are in same modules directory. Each dashboard JS likely corresponds to template. Which template includes which JS? Probably cost_analysis_dashboard.html.twig uses cost-analysis-dashboard.js, produtividade uses produtividade-dashboard.js, well_being uses well-being-absence-dashboard.js. The controller WellBeingAbsenceController is API for well-being absence, so it pairs with well-being-absence-dashboard.js and its template. What about adriana-chart-analysis.js? It could be a shared/new module used by one of these dashboards, perhaps well-being absence? Or it's standalone. Let's inspect names: adriana-chart-analysis maybe "Adriana" is a person? Perhaps a custom chart for "absenteeism" or "well-being"? Without content, we need to cluster based on semantics. It's added, and other JS files modified. It may be a new dependency used by one or more dashboards. We can group it with all JS? But grouping should be by feature. Let's read the filenames: produtividade-dashboard.js vs well-being-absence-dashboard.js. "produtividade" is Portuguese for productivity. The templates also include "produtividade". The controller for WellBeingAbsence API modified. Likely that dashboard's PHP controller changed in conjunction with JS. The templates all have +1 line, maybe adding a script tag to include a common JS? Actually templates each have +1/-0, maybe they include a new JS file? That could be adriana-chart-analysis.js. If each template has one added line, likely each template includes the same new script "adriana-chart-analysis.js" before or after the module-specific JS. Let's hypothesize: adriana-chart-analysis.js is a shared chart utility used by all three dashboards. Then it should be grouped with all dashboards? But rule: group same concern. If it's a shared new chart analysis module, it could form its own group? But it is related to all. We need to decide. Let's examine patterns: Three JS files each modified, three templates each modified with +1 line. Controller modified only well-being absence. The added JS maybe a new charting mode for cost/produtividade/well-being? The template +1 likely adds an include for the new JS? If each template only +1, could be `{% block javascripts %}` etc. It might add a script to load new library. The JS modifications include +57/-87 in cost-analysis-dashboard, +12/-81 in produtividade, +98/-4 in well-being. Those are substantial. Perhaps refactoring common code into adriana-chart-analysis.js (extraction), so JS files modified to remove code, templates add a script to load new common module. That means adriana-chart-analysis.js is the new extracted shared module used by all three dashboards. So group all JS and templates together? But then controller? Hmm. Let's think: If the extracted shared module is used by all three dashboards, and each dashboard JS modified accordingly, plus each template adds a script tag, that's a single concern "refactor chart analysis to shared module". It would include all JS and templates. Controller change might be unrelated or part of well-being dashboard feature. To create distinct groups, maybe separate by dashboard feature. But shared file belongs to multiple. Need every file in exactly one group. We can create label "shared people analytics chart module" for adriana and the three templates? But templates are per dashboard. Alternatively group by feature: - Well-being absence module: well-being-absence-dashboard.js, WellBeingAbsenceController.php, well_being_absence_dashboard.html.twig, plus maybe adriana-chart-analysis.js if used by well-being only. - Cost analysis module: cost-analysis-dashboard.js + template. - Productivity module: produtividade-dashboard.js + template. But wait, templates +1 and JS modifications perhaps related to cost/produtividade updates. Adriana-chart-analysis.js maybe only used in well-being? The name "adriana" could be a specific analyst or chart type for "absenteeism" maybe "Adriana" is a dataset? Need inference. Let's inspect actual code? We don't have file contents. We can only use names. We need output JSON only, so no extra. But we can reason. Changed files list includes all people analytics dashboard modules. The added `adriana-chart-analysis.js` is in same modules directory. It could be a new charting module used by well-being-absence dashboard, since the well-being absence JS has +98/-4 (most additions), and controller changes. But cost-analysis has +57/-87, productivity had +12/-81. Could be integration of adriana chart analysis into all? Let's search mentally: In development teams, "adriana-chart-analysis.js" might be a custom module by dev named Adriana for chart analysis, possibly a drop-in replacement for repeated charts across dashboards. Given rule: Belong to same module/feature, producer/consumer, shared directory. All files share `people-analytics/modules` for JS, but templates/controller separate. The modules in JS directory represent different dashboards. "adriana-chart-analysis.js" may work with modules to produce charts. We need determine if it's consumer to all or one. Let's explore possible filename translations: "produtividade" = productivity. "well-being-absence" = health/absence. "cost-analysis". "adriana-chart-analysis" doesn't match any dashboard. It may be a newly extracted helper for "People Analytics" charts. Could be used by multiple. Let's look at modifications: - cost-analysis-dashboard.js: +57/-87, net -30. Could be refactoring to remove duplicated code and delegate to new shared module. - produtividade-dashboard.js: +12/-81, net -69. Also removed more than added. - well-being-absence-dashboard.js: +98/-4, net +94. Added functionality significant. Maybe someone extracted same chart code from cost and produtividade into adriana file, and enhanced well-being with new analysis using that file. Templates +1 each include script tag for adriana-chart-analysis.js. So all templates need to load the new script. Thus adriana-chart-analysis.js relates to all. If so, grouping all files together under "people analytics dashboard chart extraction" is reasonable. But perhaps too broad? Let's see grouping rule: same module/feature. The common module is "people analytics" under same directory. But a cluster should be reviewable together. Some files might not interact. The controller change likely interacts with well-being JS, not adriana. If we group all 8 together, it's max 10, okay. But then why separate modules? We can group by directory/theme. The safest grouping is by module: There is an obvious group for "well-being absence" including its JS, controller, template. Another group for "cost analysis dashboard" including JS and template. Another group for "produtividade dashboard" including JS and template. And "adriana-chart-analysis.js" is then orphan, but probably not unrelated; maybe group separately as new utility. But it may be used by all, so grouping separately fragments review. Let's determine relationship from file path and modifications. Could we detect if template +1 adds `<script src="{{ asset('js/people-analytics/modules/adriana-chart-analysis.js') }}"></script>`? That would apply to all templates. If yes, adriana belongs with template changes but not with specific dashboard JS. But we cannot know. The template diff line could instead add a `<div id="adriana">`? Hmm. Let's consider maximum files per group = 10; 8 total okay. The prompt says "Group changed files into semantically related clusters that should be reviewed together." All files in a People Analytics feature with mutual dependencies? We can make a single group: "People analytics dashboard updates and shared chart analysis module" include all 8. But then why mention "adriana-chart-analysis" could be independent? Since rule says every file exactly once, and max 10. It would satisfy. But output maybe expected clusters that separate dashboards. Usually in code review grouping, if a change touches multiple dashboards but all for one feature e.g., "update dashboard charts and API" then one group is fine. But "cost-analysis", "produtividade", "well-being-absence" are separate dashboards, could be three different user stories though in same PR. Need inspect diff stats: Templates +1 each, all JS modules changed. Could be one broad change: "Add Adriana chart analysis across people analytics dashboards". If adriana is shared, all are related. So one group plus maybe controller related to well-being absence? However if the common change is adding chart analysis to all dashboards, controller change for well-being API may be needed to feed data to chart. So it all belongs to one cross-cutting change. In real code review, all those files in one PR might be separate concerns, but we need group by semantic. Let's think of "adriana-chart-analysis.js": The name is oddly specific. It might be an appended module for "people analytics" that creates a "Adriana chart" (perhaps "Adriana" = a employee's name? There's no clue). Maybe it is not shared but a standalone dashboard for "Adriana's chart analysis"? Maybe the module is a chart rendering a "chart analysis" with new analytics. Could be an additional chart within well-being absence dashboard. Since only its file is added and no corresponding template/controller change named adriana. It may be loaded by one of the modified templates? Let's look at template counts: all three templates with +1 line. If each template now includes the same new JS file, that is exactly the scenario. If only the well-being template needed adriana, why cost and produtividade templates also +1? Maybe they all include a new common footer or asset. But if a new JS is created and used by all dashboards, all templates adding it makes sense. So adriana is shared. Thus all JS/templates tied to adriana. The controller change could be part of well-being-specific modifications in the well-being JS. Since well-being JS modifications include +98 and controller +16/-9, maybe changes to well-being dashboard include both backend/API and frontend plus shared charts. It is okay to group all together because review of shared chart module requires seeing how each dashboard uses it. Potential grouping alternative: - Group 1: "Adriana chart analysis module" with adriana-chart-analysis.js, all three templates, all three dashboard JS? That includes 7 files. - Group 2: "Well-being absence API" with controller only? But controller should be with well-being JS maybe already in group 1. No. Or: - Group 1: Shared chart analysis module extraction: adriana-chart-analysis.js, cost-analysis-dashboard.js, produtividade-dashboard.js, well-being-absence-dashboard.js, and the three templates (since templates load module). - Group 2: WellBeingAbsenceController.php alone? That seems odd because controller relates to well-being JS. But maybe the controller is coupled with well-being-absence-dashboard.js and template, and if those are in group 1, controller should be too. To include controller, group all 8. Alternatively, three feature groups: - Well-being absence frontend/backend: well-being-absence-dashboard.js, well_being_absence_dashboard.html.twig, WellBeingAbsenceController.php, adriana-chart-analysis.js? - Cost analysis and productivity groups don't include adriana but templates include it. But if templates include adriana, that file need not be in group with templates? It can be in one group only. Let's infer from file names and diff signs. Added file "public/js/people-analytics/modules/adriana-chart-analysis.js" maybe likely an independent module with chart analysis functions. It was added, and existing modules modified. The JS modules probably import/require or reference global names. If adriana is dependency, it would be added but not necessarily grouped with all consumers in code review? Code review grouping with dependency graph: "files should be reviewed together" because if changing common dependency, review all consumers to ensure compatibility. So all consumers should be with dependency. That is broad group. But if consumers are separate unrelated dashboards, grouping all together is sensible because shared module affects them. Then the templates and controller perhaps are dependencies/consumers. If all consumers are updated together, yes review together. Let's check if all JS changes are about using adriana. Modified files have large deletions. Wait, if adriana was extracted, existing JS deletions correspond to functions moved to adriana. But templates add script tag to load adriana. Then all are part of "extract adriana chart analysis module" refactor. Controller change? If extraction modified a chart that uses well-being data, perhaps controller changed to supply additional data fields. That's still part of making adriana chart work for well-being. So one group of 8 files with label "People analytics chart analysis refactor and well-being absence updates" would cover all. But would that be too broad? The instructions say "Group changed files into semantically related clusters" and "Files in same group typically: Belong to the same module/feature, Have producer/consumer relationships... Share same directory..." All these are in feature "People Analytics" and share directories modules and templates. A review cluster could be all People Analytics updates in one PR. There are only 8 files, all related to People Analytics dashboards. Could group as "People analytics dashboard and API updates". That is acceptable. However, if a reviewer wants separate groups for independent dashboard changes, e.g., someone changed cost dashboard, productivity dashboard, well-being absence dashboard, these are different logical changes. The challenge asks to group semantically. Need output JSON array with maybe multiple groups. Let's attempt to produce more granular grouping that makes review easier while respecting shared module issue. Let's hypothesize each group should correspond to specific dashboard: - cost analysis: cost-analysis-dashboard.js + cost_analysis_dashboard.html.twig + maybe adriana-chart-analysis.js? - produtividade: produtividade-dashboard.js + produtividade_dashboard.html.twig + maybe adriana? - well-being absence: well-being-absence-dashboard.js + well_being_absence_dashboard.html.twig + WellBeingAbsenceController.php + maybe adriana? But adriana appears to be shared, impossible to assign to one without breaking. If adriana is used by all, the ideal cluster would be all three dashboard groups plus shared module. But each file must be in one group. Could group as a hierarchy: "People analytics shared chart module" plus associated dashboard updates? Hmm. Let's examine no. of files per group maximum 10; perhaps output 3 groups: "people analytics - cost analysis", "people analytics - productivity", "people analytics - well-being absence and common chart analysis module". We can include adriana with well-being group? Naming maybe "common chart analysis" but group label can mention commons+well-being. That would be semantically inaccurate if adriana is shared. Could group adriana alone as its own group "new chart analysis module" and group the rest by dashboard. That could be reasonable if adriana is a new standalone module unrelated to dashboard modifications? But why templates +1? Hmm. Let's consider possibility that adriana-chart-analysis.js is a new module for a new chart that only the well-being absence dashboard uses. Then cost and produtividade modified for an unrelated bug (maybe formatting) and templates +1 each due to adding "dados" or menu. But all three templates +1 suggests a shared template change, not dashboard-specific. Could be a single addition to a template base? The templates are each +1 not a global base. Could be adding a "webpack encore" script tag to each. If adriana is used in all three, all three templates add that tag. If adriana used only well-being, why modify cost and produtividade JS? Could be a separate feature "refactor dashboard modules and add an analysis chart module" rather than one dashboard. Therefore, grouping all together might be safest. But maybe "produtividade-dashboard.js" has +12/-81, and "cost-analysis-dashboard.js" +57/-87, both net negative, while well-being +98/-4 net positive. Pattern: cost and productivity might have common code extracted to adriana, well-being gets new analytics. Templates all +1 means add script tag for adriana. Controller modifications for well-being API because new analytics needs additional API data. This is a single PR for "people analytics: refactor charts and enhance well-being absence". Review all together to assess cross-dashboard effects. Thus one group is plausible. But is there any reason to split controller? No. Let's look at source structure: files under `public/js/people-analytics/modules/`: modules for several dashboards. In modular JS, there might be an `index.js` or `init.js` that imports all modules. If a new module file added, template doesn't need script tag if using bundler. But templates are Twig HTML; if using standalone scripts, templates likely include JS per page. The new module might be imported by other modules via ES6 `import` if using Webpack. But if Webpack, then you wouldn't add script tags to templates; you'd import. However templates +1 might be not script but something else. Could deduce extension `.js` and directory `modules`; older style might load script tags individually. People Analytics dashboards may each include their module script only on their page. If extracting common code into `adriana-chart-analysis.js`, templates that use that common code must include `<script src="...adriana-chart-analysis.js"></script>` before module JS. Thus +1 each. So yes. Given that, all templates are consumers of adriana module. Thus `adriana-chart-analysis.js` cannot be reviewed without seeing templates and modules using it. So should combine. The controller change from well-being API maybe also uses new data for adriana? Cross-check with well-being JS. That file likely talks to controller endpoint. If changes to controller are API contract, should review with well-being JS. Since that JS is in group, okay. What label? "people analytics dashboards: add shared chart analysis and update modules". Maybe "shared chart analysis and dashboard updates". Need include file list exactly as paths. Let's verify every file included: - public/js/people-analytics/modules/adriana-chart-analysis.js - public/js/people-analytics/modules/cost-analysis-dashboard.js - public/js/people-analytics/modules/produtividade-dashboard.js - public/js/people-analytics/modules/well-being-absence-dashboard.js - src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php - templates/people_analytics/cost_analysis_dashboard.html.twig - templates/people_analytics/produtividade_dashboard.html.twig - templates/people_analytics/well_being_absence_dashboard.html.twig Total 8. But maybe group by actual dashboard modules plus separate "shared module" but then duplicate impossible. To improve semantic clustering, maybe group like: [ {"label":"People analytics well-being absence", "files":[ "public/js/people-analytics/modules/well-being-absence-dashboard.js", "src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php", "templates/people_analytics/well_being_absence_dashboard.html.twig" ]}, {"label":"People analytics cost analysis", "files":[ "public/js/people-analytics/modules/cost-analysis-dashboard.js", "templates/people_analytics/cost_analysis_dashboard.html.twig" ]}, {"label":"People analytics productivity", "files":[ "public/js/people-analytics/modules/produtividade-dashboard.js", "templates/people_analytics/produtividade_dashboard.html.twig" ]}, {"label":"New Adriana chart analysis module", "files":[ "public/js/people-analytics/modules/adriana-chart-analysis.js" ]} ] But if templates all include adriana, grouping adriana alone is wrong—it introduces shared dependency that should be reviewed with changes. The prompt explicitly says "producer/consumer relationships (e.g. interface and implementation)" and "share same directory and work together on a single concern." adriana is probably consumer of dashboard modules? Actually dashboard modules consume adriana. Could group adriana with all files using it. Suppose all templates use it; that's all templates. Then group can be "people analytics chart analysis module integration". But then all dashboards' file modifications are also integration of it, maybe you could group all. I think one group is acceptable. Let's consider a scenario where the desired answer likely expects grouping by module directories. The files are already largely grouped by directory and feature. The only outlier is adriana-chart-analysis.js. Maybe it's a new file for a new dashboard called "Adriana" (maybe an employee?) and doesn't fit. Then perhaps group it alone. But why named "adriana"? In codebase, maybe "adriana" is a client name? People Analytics modules might be named by developer or analyst. E.g., "adriana-chart-analysis" could be a chart for "Absence reasons by Adriana"? Hmm. Look at the exact file names: "cost-analysis-dashboard.js", "produtividade-dashboard.js", "well-being-absence-dashboard.js". These correspond directly to dashboards. "adriana-chart-analysis.js" doesn't match any dashboard name. Could be a chart module for a particular analysis type, maybe "adriana" is a test/personal file accidentally committed? It's under modules; could be named after a person who created it (Adriana) e.g., "Adriana's chart analysis". Not a dashboard. Therefore it may be a utility helper named by author. In code review, new file with "adriana" should probably be reviewed with the dashboards that use it. If all dashboards modifications are about adding this chart, yes all. Let's parse modified files in controller: WellBeingAbsenceController. This controller likely has endpoint(s) to supply data to well-being dashboard. It was modified +16/-9, likely added a new parameter or method for chart analysis. The well-being-absence-dashboard.js changed +98/-4 and template +1. The additions might include displaying charts using a chart analysis library. The existing cost and produtividade dashboards also changed. The entire set may correspond to "using same chart rendering helper for all dashboards and adding a new well-being chart". I think one group is proper. Let's think about output restrictions: "Output ONLY a JSON array, no other text." Need ensure valid JSON, double quotes. We'll include a single group. Label should be short theme description, e.g., "People analytics dashboards and shared chart analysis". The files list all 8 unchanged paths. Before finalize, consider if there is any reason to separate? Let's look at src/Controller... only one controller modified, not API for cost/produtividade. If all dashboards are just front-end changes, why backend controller changed only well-being? Could be because new well-being chart needs a new endpoint field. That means well-being group has backend/frontend; cost/produtividade groups only front-end. If we group all, a reviewer might confuse controller change with all dashboards. But still okay. The "semantically related clusters" should probably be distinct by user story. Let's identify user stories from diff stats: - Cost analysis: JS +57/-87, template +1 line. Could be adding a "chart analysis" feature to cost dashboard by extracting into a new module? - Productivity: JS +12/-81, template +1. Similar. - Well-being absence: JS +98/-4, template +1, controller +16/-9. Significant new backend/front-end feature. - Adriana: +180/-0. This is large new module. Likely adriana is not shared? Wait, if adriana is new shared module 180 lines, and each dashboard JS loses ~80 lines, it can provide helper functions. Cost lost 87 lines, produtividade lost 81, so new 180 line module could be extracted from them. Well-being gained 98 lines and uses it. So yes. All changes likely come from one task "Refactor duplicated chart code and implement new dashboard features". If in code review, a person should review adriana with both extraction and usage. Thus one cluster. Could split into: 1. "Extract Adriana chart analysis module from cost/productivity dashboards" including adriana, cost js, produtividade js, and their templates (4 files? plus templates). 2. "Well-being absence chart analysis" including well-being js, template, controller, adriana? But adriana maybe used too. Cannot duplicate. Given every file must appear in exactly one group, if shared module used by both groups, grouping all together is the only way to avoid incomplete review. So yes. Let's draft answer: [{"label":"People analytics dashboard chart analysis refactor", "files":["public/js/people-analytics/modules/adriana-chart-analysis.js","public/js/people-analytics/modules/cost-analysis-dashboard.js","public/js/people-analytics/modules/produtividade-dashboard.js","public/js/people-analytics/modules/well-being-absence-dashboard.js","src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php","templates/people_analytics/cost_analysis_dashboard.html.twig","templates/people_analytics/produtividade_dashboard.html.twig","templates/people_analytics/well_being_absence_dashboard.html.twig"]}] Would a label mention people analytics and chart analysis? Good. But let's consider if output expected alphabetical or not. File order given. Fine. Need ensure no trailing text. Use compact or pretty JSON. Accept valid. Let's produce compact maybe.
[{"label":"People analytics chart analysis refactor","files":["public/js/people-analytics/modules/adriana-chart-analysis.js","public/js/people-analytics/modules/cost-analysis-dashboard.js","public/js/people-analytics/modules/produtividade-dashboard.js","public/js/people-analytics/modules/well-being-absence-dashboard.js","src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php","templates/people_analytics/cost_analysis_dashboard.html.twig","templates/people_analytics/produtividade_dashboard.html.twig","templates/people_analytics/well_being_absence_dashboard.html.twig"]}]
Conversations 1 files
public/js/people-analytics/modules/adriana-chart-analysis.js,public/js/people-analytics/modules/cost-analysis-dashboard.js,public/js/people-analytics/modules/produtividade-dashboard.js,public/js/people-analytics/modules/well-being-absence-dashboard.js,src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php,templates/people_analytics/cost_analysis_dashboard.html.twig,templates/people_analytics/produtividade_dashboard.html.twig,templates/people_analytics/well_being_absence_dashboard.html.twig 70 requests

plan_task

Request #1 deepseek-v4-flash P:16.85K C:17.1K CR:1.41K CW:0 150327ms
Reasoning
Let me analyze this code change carefully. The PR is about bugfix/pa-adriana-bem-estar-custos - fixing Adriana analyses in Well-being/Absence and Cost Overview dashboards, centralizing Adriana chart analysis into a shared helper, and adjusting responses to avoid misleading insights when there isn't enough data. Files changed: 1. `public/js/people-analytics/modules/adriana-chart-analysis.js` (NEW) - Shared helper 2. `public/js/people-analytics/modules/cost-analysis-dashboard.js` - Refactored to use helper 3. `public/js/people-analytics/modules/produtividade-dashboard.js` - Refactored to use helper 4. `public/js/people-analytics/modules/well-being-absence-dashboard.js` - Refactored to use helper, added final question logic 5. `src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php` - Backend adjustments 6. Template files (3 twig) - Only adding script references Let me identify risk points: ### 1. New helper file: adriana-chart-analysis.js **Issue: `setButtonLoading` references `window.setButtonLoading` global — could be a conflict or a fallback.** Actually, it checks if `window.setButtonLoading` is a function and uses it; else falls back. This is a potential contract issue but seems intentional. **Issue: In `bind()`, `button.dataset.adrianaAnalysisBound = '1'` guard** - if called multiple times with different scopes this is fine. **Issue: `requestAnalysis` uses `$.ajax` with `headers: {'X-Requested-With': 'XMLHttpRequest'}` but does NOT send CSRF token.** Wait — does the backend require CSRF for this endpoint? Let me check. In the previous code in cost-analysis-dashboard.js, it used `fetch` with `credentials: 'same-origin'` and headers with `X-Requested-With: 'XMLHttpRequest'` but no CSRF token either. Hmm, so this is consistent with prior behavior. However, the user-specific rules say: "Chamada AJAX que muta dado deve enviar o token CSRF e tratar erro 400/403/404/409 de forma distinta". The AI analysis endpoint is a POST that generates an analysis... Is it a mutation? It's a POST for generating AI analysis — it could be considered a state-changing request (AI analysis may be logged). But the old code did not send CSRF either. It's worth verifying whether these endpoints are CSRF-protected. Actually, in the old well-being dashboard, was there an AI analysis call? Let me look: well-being-absence-dashboard.js didn't seem to have AI analysis before (the diff shows only adding it now). The cost dashboard previously used fetch without CSRF. This is consistent. Many of these PeopleAnalytics AJAX endpoints might be token-authenticated APIs (e.g., using a different auth mechanism), so CSRF may not apply. However, worth checking the route configuration. But we can flag it as a point to verify: whether the endpoint requires CSRF (since the new well-being chart analysis and final questions are new callers to the endpoint, if the backend checks CSRF, these would fail). Given the previous code (cost dashboard) worked without CSRF, likely the endpoint doesn't require CSRF. Low/medium. **Issue: Binding with `.pa-prod-analysis[data-analysis]` but button might be a `pa-ar-suggested-question`?** In the helper bind, it searches `selector` default `.pa-prod-analysis[data-analysis]`. In modules, selector limits appropriate classes. **Issue: XSS - `escapeHtml` is used for all user/AI content in renderAnalysis.** Panel content inserted via innerHTML but escaping is applied. `renderError` escapes message. OK. **Potential double-binding issue in cost dashboard:** `bindUiActions()` binds `AdrianaChartAnalysis` with selector `.pa-ca-dash .pa-prod-analysis[data-analysis]`. Then the second `document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn')` loop skips elements where `mappedKey && ANALYSIS_CHART_ID[mappedKey]` (returns early). But this skip uses `data-analysis` only — wait: ```js document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn').forEach(function (el) { const mappedKey = el.getAttribute('data-analysis'); if (mappedKey && ANALYSIS_CHART_ID[mappedKey]) return; ... el.addEventListener('click', ... ``` So for `.pa-prod-analysis` elements with `data-analysis` in the map, it returns (skip). For `.pa-prod-analysis` not in map (e.g. new prod charts?), it adds a click handler that logs. Actually the helper already binds the `.pa-ca-dash .pa-prod-analysis[data-analysis]` — the helper checks `button.dataset.adrianaAnalysisBound === '1'` — so helper prevents double binding of itself. But the second loop adds its own listener to non-mapped elements only, so no double binding for mapped ones. Wait: mapped ones — helper binds all `.pa-ca-dash .pa-prod-analysis[data-analysis]` with click handlers. The second loop skips mapped ones. Non-mapped elements in `.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn` get console.info on click. But also helper binds only `[data-analysis]` ones. Non-mapped `.pa-ar-suggested-question` get clicked and requestFinalQuestionAnalysis. OK. **But wait - potential double-binding issue in well-being:** `bindAnalysisActions` is called each time `loadInsights` renders new questions? Let me look: In well-being-absence-dashboard, `bindAnalysisActions(questionsEl)` is called after setting innerHTML with new buttons — fresh elements get `wbBound`. Also at the top of `bindAnalysisActions`, they call `AdrianaChartAnalysis.bind()` EVERY TIME with the same module/selector. The helper's guard `button.dataset.adrianaAnalysisBound` prevents re-binding the same button. But since bind uses `$(selector).each`, re-binding scans. That's fine due to the guard. But in cost-analysis `bindUiActions` is presumably called once. In produtividade, bindUiActions once. OK. **Issue: helper `request` exported and used with `module` config — cost dashboard passes object without module?? ** Let me check `requestFinalQuestionAnalysis` in cost: ```js window.PeopleAnalytics.AdrianaChartAnalysis.request({ module: AI_MODULE, getFilters: function () { return currentFilters || {}; }, question: questionLabel + ' Responda de forma objetiva, usando apenas os dados de custos disponíveis.', }, chartId) ``` OK module is AI_MODULE = 'visao_geral_custos'. Wait, there's a mismatch! In cost dashboard, `AI_MODULE = 'visao_geral_custos'`. `requestAnalysis` function in helper builds URL: `/people-analytics/api/${module}/chart/${chartId}/ai-analysis`. Previously the cost code: `const AI_API_BASE = '/people-analytics/api/' + AI_MODULE;` and `fetch(AI_API_BASE + '/chart/...')`. So module name is same 'visao_geral_custos'. OK. But wait, in cost ANALYSIS_CHART_ID, chartId = 'chart-evolucao-custo-total'. This chart exists in the cost-analysis API? The old code used it. Fine. In cost FINAL_QUESTION_CHART_ID maps to 'chart-custo-produtividade' and 'chart-composicao-custos' — new charts. Do those exist as valid charts in the visao_geral_custos module? This is a backend contract concern - new endpoints use chart IDs not previously used. If the Server endpoint doesn't recognize these chart IDs then the AI would fail or return generic. This is a claimed functionality. Might be worth verifying whether these charts actually exist in the backend implementation for cost analysis module. Given we have no direct access to the cost controller's AI implementation inside this PR, we should flag to verify the backend accepts those chart IDs. But note: the review scope: the changed files are these; need code_search to find AI chart analysis endpoint in CostAnalysisController to check the mapping/contract - e.g., searching for 'chart-custo-produtividade' and 'ai-analysis' and 'cost-analysis'. Similarly for well-being module 'bem_estar_ausencia' — chart IDs like 'chart-correlacao-bem-estar-ausencia', 'chart-ausencias-motivo', 'chart-bem-estar-area', 'chart-custo-ausencias-area', 'chart-evolucao-faltas'. And there is a WellBeingAbsenceController in the diff, but it doesn't show an ai-analysis method, wait the diff only shows part around the final summary building. The AI analysis endpoint for bem_estar_ausencia might already exist. We should check with code_search for 'chart-evolucao-faltas' or 'ai-analysis' in the backend to confirm chart id contract. **Issue: `renderAnalysis` innerHTML with data escaping but header `analysis.title` escaped. `setButtonLoading` original label restoration:** sets dataset.originalAnalysisLabel on first invocation. On second invocation of setButtonLoading with isLoading false → label restored. But note, if loading text changed between, original label retained fine. OK. **Issue: Buttons mutating innerHTML in requestFinalQuestionAnalysis (cost/well-being)** — uses button.innerHTML = spinner icon; on finally restores original html. If error occurs... finally restores. But what if the button is clicked twice quickly? disabled = true prevents second click during loading. OK. However, there's a moment in cost: they set `button.innerHTML = ...` replacing text content; meanwhile the button has label query selector? In cost, this is for suggested questions (not the pa-prod-analysis buttons) - different structure, so probably no span label issue. **Potential concurrency issue:** if user clicks two different suggested questions simultaneously (different buttons), both requests run; whichever resolves last writes to `finalEl`. That's acceptable UX-wise. **Issue: helper uses jQuery `$.ajax` — need jQuery present. Templates include bootstrap and jQuery? PeopleAnalytics uses jQuery? The helper is in IIFE taking `$` param, `})(jQuery);` at end — if the page doesn't load jQuery before this script, it throws. But other modules already use jQuery-like syntax? Actually cost dashboard uses `document.querySelectorAll`, not jQuery... Hmm, wait, this dashboard probably loads jQuery because the template references other scripts. But careful: In the old code, produtividade used fetch; the new helper uses `$.ajax`, meaning it requires jQuery loaded BEFORE adriana-chart-analysis.js. The template script order must be checked: they placed adriana-chart-analysis.js before the module, near Highcharts modules. Is jQuery loaded before? Many templates include jQuery at top. The other modules may use $ ? cost-analysis-dashboard.js line uses `$(selector).each`? No — cost-analysis uses document.querySelectorAll, so possibly the dashboard does not load jQuery globally. But maybe base template loads jQuery. Let me check with file_read/code_search for jQuery inclusion in these templates. This is important: if jQuery is not loaded, helper would crash all modules. The template only shows tail-end script tags (Highcharts, print-report, adriana..., module). We need to check jQuery is loaded above. This is a valid high/medium risk: helper `adriana-chart-analysis.js` hard-depends on jQuery (`})(jQuery)`), but the module scripts that use it mostly used vanilla JS before, so the page template may not load jQuery — must confirm inclusion order in the Twig templates. Search for jQuery in those templates. **Issue: race condition between chartMap bind and reloaded DOM.** In well-being, insights/questions are re-rendered by loadInsights. But the question buttons inside `[data-wb-final-text]` region? Actually suggested questions are rendered in questionsEl then bound. The `.pa-prod-analysis[data-analysis]` chart buttons are static in HTML — bound once by bindAnalysisActions each time loadInsights called; guard prevents duplicates. **Issue: well-being: the helper bind call occurs inside bindAnalysisActions, which is invoked whenever insights reload (like after filters change). With guard data-adriana-analysis-bound, the buttons won't be double-bound, but the bind uses currentFilters?** The chart analysis button request uses getFilters() at click time which reads currentFilters — good, fresh. Now consider helper bug: in helper's `bind()`, when `config.module` is missing it warns and returns; module is provided. **Helper: `escapeHtml`** - creates div per call - minor performance but not important. **Potential security: admin/injection in question key** used only as DOM attribute: Question key from backend is interpolated into data-question=" + escapeHtml(key) + " — attribute context needs escaping of quotes and & — escapeHtml covers & < > " ' (textContent serialization escapes quotes as &quot;? innerHTML of a div textContent — quotes are preserved as literal characters actually! Let me think: Using `div.textContent = value; return div.innerHTML;` — the innerHTML of a div: text content with double quotes gets serialized with `"` intact unescaped within text context. But when this string is placed inside an HTML attribute delimiter `data-question="..."`, a quote in key could break out of attr. Wait, escapeHtml output in attribute context: textContent-based escaping escapes `&`, `<`, `>` but not quotes — In HTML fragment serialization, double quotes inside text nodes need not be escaped. So the returned string can contain raw `"` — if the key comes from the backend (suggestedQuestions keys like 'who-high-risk', etc.) it's fixed. Keys are server-defined constants, not user input, so risk low. In helper renderAnalysis it's inserted into text content (innerHTML) which is safe since escapeHtml handles <, >, &. But wait — button text labels from backend q.label may include text from database? Actually the suggested questions are generated in PHP with static labels. Low. **Also the helper's renderList uses title static.** fine. ### 2. WellBeingAbsenceController.php **Issue: New `rawValue` key in cost summary.** need to verify consumers: template cost display? Not relevant to this file, it returns cost total via `$cost['mainComponent']['value']`. Also `$cost['total']['rawValue']` - new key. If previously returned array with total; adding rawValue is harmless for old consumers (JSON consumers ignore extra). But internal `buildCostImpactInsight` returns `$cost['total'] ...`? Wait, where does `$cost` come from in `buildFinalInsight`? Let me look at the diff context: `$cost['total']['rawValue']` etc. `$cost` presumably from a method `costImpact` above. The diff shows a method starting at line ~399 returning total/payrollShare/mainComponent, then in the method around line 424 that calls `$this->criticalAreaRows` etc and references `$cost['total']['rawValue']`. So `$cost = $this->...` presumably. Need to read more context to verify the structure and `$risk['high']` and `$medium` indices, `$mainCause`, `$criticalAreas` defined. Probably exists. **Potential division by zero:** line `'payrollShare' => ['value' => $this->fmtPercent(($total / $payroll) * 100)`... This is pre-existing? The diff shows unchanged? Wait diff region at 399 shows only total line changed (added rawValue). So division already existed. Skip. **`$hasMeaningfulData` check:** `$costTotal > 0 || $mainCause !== null || count($criticalAreas) > 0 || ($risk['high'] + $risk['medium']) > 0;` Wait: is `$risk['high']` numeric? risk from `$this->...`? They add high+medium. If `$risk` entries are ints, fine. Note: previously the `'final'` message always printed. Now when no data, they print fallback text — good. **Business contraction:** if `$mainCause` is null but risk, etc. All OK. **'questions' derived from same `$risk, $criticalAreas, $mainCause, $cost`** — the suggestedQuestions condition changed: `if ((float) ($cost['total']['rawValue'] ?? 0) > 0)`. So question 'cost-reduction' only appears when cost total > 0. But note: `rawValue` is in `cost['total']`, which now includes rawValue; but that method returns array in same controller — but is `$cost` in this method the result of that method `costImpact`? We should code_search to confirm the object shape. Also must confirm whether the cost['total'] might be `['value'=>..., 'caption'=>...]` from a prior shape where rawValue missing. But the diff added rawValue to the one place producing total; likely OK. **Now performance/duplication on JS**: there was an existing pattern per module with `escapeHtml`/`firstMeaningfulAnalysisText`/`renderList` duplicates. The purpose of the PR was to centralize and DRY these. Interesting: the new helper centralizes chart analysis for three dashboards, but they then re-implement `firstMeaningfulAnalysisText` duplicated in cost and well-being JS (2 duplicates) plus `escapeHtml` in well-being (re-implemented per module again!). Indeed the new well-being file adds own escapeHtml and firstMeaningfulAnalysisText duplicates, despite the helper existing — the helper does not export these. That's duplication. This is a medium finding (code quality, duplication). But given this PR explicitly is about de-duplication, the fact they left duplicate logic (firstMeaningfulAnalysisText in two modules, escapeHtml etc.) undermines; medium/low. Actually produtividade module still has an internal escapeHtml function? Yes it referenced escapeHtml and presumably has its own. Not modified except removal of render/requestAnalysis. So they keep module-local escapeHtml dead? Let's check: cost-analysis already had escapeHtml; used now in requestFinalQuestionAnalysis to set final text. well-being-absence newly adds escapeHtml and firstMeaningfulAnalysisText - new duplicates. Could have been placed in the shared helper. Minor. **A subtle behavior regression possibility**: In produtividade, previously requestAnalysis used `notify(err.message...)`; now the shared helper with `.catch` logs error and renders error in panel. But the old catch showed toastr notifications on error; new prints message in the panel. Behavior changed but acceptable; more consistent. **Behavior regression - produtividade previously rendered analysis panel inside the card; helper does the same via getOrCreatePanel with class pa-prod-analysis-panel and CSS same. Chart analysis after binding: produtividade selector '.pa-prod-dash .pa-prod-analysis[data-analysis]' - need wrapper class on HTML. Well-being: '.pa-wb-dash ...' presumably present. Cost: '.pa-ca-dash ...' present. Should verify wrappers exist via template scan - code_search for 'pa-prod-dash', 'pa-wb-dash', 'pa-ca-dash'. **Race on 'bind' with dynamic pager**: produtividade dashboards have pager events to load other pages; new buttons inside paginated content? `AdrianaChartAnalysis.bind` called only in bindUiActions once at load; if charts/pages are loaded via AJAX later and inserted, those buttons would never be bound! Previously, in produtividade, `document.querySelectorAll('[data-analysis]').forEach` in bindUiActions also only once — but the pager reloads content with charts; does the analysis button exist on each page of chart? Need to check if analysis buttons are per chart in paginated sections. Possibly dashboard content static. But question buttons in well-being get re-bound with every loadInsights; chart buttons static so fine. In cost maybe final cards dynamic. We could search template for 'data-analysis' to see scope - whether new DOM nodes appear after filters. `loadInsights` replaces content in well-being; the `.pa-prod-analysis[data-analysis]` chart buttons — insights area = text only; prod charts elsewhere static within cards. Most likely static. But there may be Analysis buttons on cards that get re-rendered when changing filters (chart re-render?). Chart area stays same; buttons static. It's okay. **Critical potential double-click/flicker on cost final question but not shown: the 'finalEl' mapping: cost final container `[data-ca-final-text]` — helper etc. OK. **Wait, the helper is loaded from templates in order: it's placed after print-report but before the module: cost template shows adriana then cost module; safe if jQuery loaded earlier in page (need verify jQuery load order). Now, bigger thing to verify: `produtividade` module previously bound to `[data-analysis]` any... Old behavior: any `[data-analysis]`, request analysis with key mapped; if not mapped? requestAnalysis would return if no chartId. The new one maps only within `.pa-prod-dash` using `chartMap`. New helper will simply not bind to a `.pa-prod-analysis` element lacking map... Actually selector is `.pa-prod-dash .pa-prod-analysis[data-analysis]`: any element with data-analysis inside prod dash will get a click handler from the helper. If key missing from chartMap, helper renders panel error "Este botão ainda não possui um gráfico vinculado" instead of ignoring — a UX improvement; but could mislabel valid prod pages? not a bug. **Produtividade regression: previously the "final analysis" button/behavior?** The old produtividade had a `.pa-ar-suggested-question`? No - not in the removed code; the removed code lists only data-analysis. Other parts of produtividade bind the AI final? Possibly not. **well-being: previously no AI chart per-chart analysis existed, and `.pa-prod-analysis` buttons (not suggested question) showed console info only. The new code wraps per-chart with helper; intended. Now some real risk to highlight: **High/medium 1: Duplicated suggested-question implementation not fully shared; cost & well-being still implement local requestFinalQuestionAnalysis with innerHTML swap of button text and custom loading - and no CSRF. But these are buttons with default no form? The suggested question POST hits AI chart analysis endpoint - previously cost used fetch w/o CSRF too. The helper AJAX also doesn't send CSRF - so it's less about new risk than consistent with pre-existing. Actually wait - question: is that endpoint CSRF-protected? Many internal private JSON endpoints in this app verify `X-Requested-With` header; e.g. the code consistently sends it. Whether CSRF middleware skipped by header only — Only verifying X-Requested-With is not CSRF protection (header spoofable cross-origin? No, cross-origin can't set custom headers without preflight; but server can't trust Origin). The front-end itself is not authenticated via cookies? People Analytics endpoints likely require session cookie + custom header. Need check for a CSRF check middleware. This could be flagged as: new AJAX POST endpoints (the final question requests for well-being and costs; also chart AI) rely on custom header; verify the route doesn't require csrf token which is absent (e.g., if backend uses `isXmlHttpRequest` + csrf validation lenient). We can search the controller base / API route config for CSRF requirements. Given prior code used no CSRF and worked, CSRF likely not enforced there. Maybe skip or mention as low priority verification. **High 2 (likely real): XSS via AI content?** AI text into `finalEl.innerHTML` with escapeHtml — safe; charts content from server serialized by backend — safe-ish. `renderError` escapeHtml — safe. **Watch: `questionLabel = button.textContent.trim()` — the button label includes the label from server; question included in POST and then appears in final element bolded with escape. fine. **Real bug candidate: In `requestFinalQuestionAnalysis` (both cost and well-being), when `window.PeopleAnalytics.AdrianaChartAnalysis` not present, silently returns leaving button unbound? No, function returns if not present; but bind at top-level ensures? If adriana script fails to load, chart analysis button still gets clicked handler from second loop in cost: `.pa-ar-suggested-question` clicks -> requestFinalQuestionAnalysis -> returns silently -> user sees nothing. Minor. **Now consider what changed backend behavior does to JS contract: `analysis` returned and fields may not contain `summary` — handled by firstMeaningfulAnalysisText to fallback. If analysis has no content returns blank message: "não encontrou dados suficientes" while backend `final` fallback exists. fine. **Integration risk: WellBeing: the shared helper's render expects `analysis.summary`, `key_insights`, `projections` etc. Backend AI response shape for `bem_estar_ausencia` must produce these same fields. Need to check backend AI analysis implementation for consistency: code_search for 'ai_analysis' in PeopleAnalytics controllers, and functions returning key_insights. If the well-being AI endpoint existed before (or is new) but WellBeingAbsenceController diff shown doesn't add an ai-analysis endpoint — That means `bem_estar_ausencia/chart/{id}/ai-analysis` endpoint must already exist (perhaps in another controller?). Hmm, cost endpoint /people-analytics/api/visao_geral_custos/chart/.../ai-analysis presumably existed. For well-being/bem_estar_ausencia one, if it does not exist yet backend would 404 — new bind would attempt requests failing. This is a contract thing to verify. Do a code_search to find route definitions containing 'bem_estar_ausencia' and 'ai-analysis' in controllers. Given the PHP controller changed only summaries, the ai-analysis endpoint for bem_estar_ausencia might be pre-existing (added earlier PR). Search needed. Also confirm AI's `renderAnalysisList('Projeções', ...)` etc. well-being uses chart IDs suggesting there's a particular AI endpoint likely with title. Search entire src for 'chart-evolucao-faltas' or 'bem_estar_ausencia'. **Check `payroll` variable division**: skip. **PHP type issue: `$risk['high'] + $risk['medium']` — if risk keys 'high'/'medium' arrays? In suggestedQuestions they use `$risk['high']` too? Actually in sprintf, `$risk['high']` is used as number in prior lines. So fine. **Interesting detail:** `hasMeaningfulData` uses cost > 0 OR mainCause !== null ... Since code before used zero-default `$mainCause['label'] ?? 'não identificada'`, if mainCause is e.g. found but cost 0, the final message may still mention areas/causes – ok. For suggestedQuestions last condition changed. But note `$cost` could be shaped with total rawValue 0 but main component etc. Fine. Now templates: script reference addition only - plus one inline script possibly? The template changes just add a new script tag referencing the new asset file; no inline cycles. Fine. **Loading order issue: templates add adriana-chart-analysis.js between print-report and module; however the helper needs jQuery; is jQuery loaded earlier? People analytics pages probably load jQuery because they use `$` elsewhere (cost uses `$(document).ready` maybe). Let's check via code_search if the templates include jquery before the bottom scripts segment. Potentially scripts at the bottom include jQuery before this section? Use code_search/file_read. Provide plan to confirm. If jQuery is absent, entire dashboard JS fails (adriana script referencing jQuery at end — calling `})(jQuery);` throws TypeError, preventing subsequent module scripts? yes, all subsequent scripts fail. That's a high severity risk if not guaranteed. Same pattern used by other modules? Check existing modules for `(function ($) { ... })(jQuery);` to see if jQuery is already standard dependency in those pages. In print-report.js? Search. Given the extensive changes in old code used fetch, removing requestAnalysis which used fetch, the new helper uses $.ajax - relies on jQuery, fine if loaded. Let's plan to verify via code_search/file_read that jQuery is loaded in each of the three templates before the helper; plus that `window.setButtonLoading` may or may not exist. Wait helper's `setButtonLoading` uses global if function present which might differ behavior from module's. Actually the designer wrote fallback, so fine. **One actual possible regression: `setButtonLoading` original label restoration.** In helper, the button label might contain the question title etc. For `pa-prod-analysis` buttons, label structure '.pa-prod-analysis__label' exists in templates presumably. Since module is `.pa-prod-analysis[data-analysis]` element itself being the button. On first call, dataset stores label textContent. On loading second time while isLoading true after previous restore, label.textContent = 'Gerando...' and stores original label only if absent. Then final restores. Safe. However a potential bug: when the same button click triggers again quickly before the previous final restore? disabled prevents. **A nuance in cost's new final question request when loading state changes button.innerHTML — originalHtml captured at click; restored after done; but if the button also has pa-prod-analysis label handling? These are suggested questions, so no. **Escaping question label used as GET? goes in POST body as data. **Contract mismatch candidate:** The helper (adriana-chart-analysis) `requestAnalysis` builds URL with module + '/chart/' + chartId + '/ai-analysis'. In the old cost-specific direct fetch the pattern same. For well-being chart buttons previously nonfunctional noise (console info) so no old contract. For final questions the cost `FINAL_QUESTION_CHART_ID` includes chart IDs mapping; backend `question` may be transformed into prompt and expects chartId recognized by `aiAnalysis` machinery for module visao_geral_custos ('chart-custo-produtividade', 'chart-composicao-custos'). Need verify those chart ids exist in backend/cost-analysis to support new answers. Also each module's `module` param is a URL-ish slug maybe an AI module id: cost AI_MODULE='visao_geral_custos' but API_BASE='/people-analytics/api/cost-analysis' — wait hold on: chart analysis endpoints pattern: `/people-analytics/api/{module}/chart/{chartId}/ai-analysis` with module `visao_geral_custos`. The old code (cost) used AI_API_BASE = '/people-analytics/api/' + AI_MODULE = '/people-analytics/api/visao_geral_custos/...'? Actually AI_MODULE was 'visao_geral_custos'; and fetch URL = AI_API_BASE + '/chart/...' — yes same. Produtividade: module: 'produtividade'; pass. Old fetch used `${API_BASE}/chart/...` with API_BASE '/people-analytics/api/produtividade'? Actually in prod remove snippet: `fetch(`${API_BASE}/chart/${...}/ai-analysis` with API_BASE? Looking at the removed code: `fetch(`${API_BASE}/chart/...)` — API_BASE presumably '/people-analytics/api/produtividade'. The new helper with module 'produtividade' = same URL. But wait newly added produtividade bind: module: 'produtividade' in bind() and getFilters refers currentFilters variable in module... OK. One caveat: the previous removed produtividade requestAnalysis assigned `setAnalysisLoading(key,true)` where key = data-analysis; new helper setButtonLoading accepts Button, so visually label handling differs. Also produtividade removed notify; helper no notify for error but renders error inside panel instead — better. **Important note about bind scope for cost:** old `requestAnalysis` didn't limit to `.pa-ca-dash`; any `[data-analysis]` but only mapped chart IDs with ANALYSIS_CHART_ID map. New bind selector non-default '.pa-ca-dash .pa-prod-analysis[data-analysis]': ensure actual buttons inside .pa-ca-dash container; may not have wrapper class '.pa-ca-dash' in template — check by code_search. If wrapper classes don't match, chart analysis buttons won't respond at all → functional regression. This is a core possible bug; find these classes in templates: 'pa-ca-dash', 'pa-prod-dash', 'pa-wb-dash'. Now the bind in cost `bindUiActions` also executes second block that adds listeners to .pa-ar-suggested-question and .pa-ar-corr-card__btn — Wait in cost code previously `.pa-ar-corr-card__btn` also created insight clicks. That part still present and applies to `.pa-prod-analysis` as well; plus returning for mapped analysis. Suppose a button is class both 'pa-ar-suggested-question' with data-analysis? Not. Potential double listener in cost: an element `.pa-prod-analysis[data-analysis]` that is NOT within `.pa-ca-dash` (therefore the helper won't bind), but has a mapped data-analysis key (ANALYSIS_CHART_ID). Then second block returns early (mappedKey found in ANALYSIS_CHART_ID), so no click handler at all — earlier console only. But if such button is outside .pa-ca-dash and mapped, it silently loses function... Old code would call requestAnalysis for any such element regardless of container. But if such element exists outside .pa-ca-dash, old behavior analyzed chart, now nothing. Need to see whether any analysis buttons live outside .pa-ca-dash container. Generally cost dashboard wraps everything inside a big class 'pa-ca-dash' presumably; Verify. Similarly for well-being: previously non-suggested chart analysis buttons produced only console logs (the 'feature' did nothing). New enable via bindAnalysisActions: scope root. **In well-being filters reload**: loadInsights sets something with questions new keys; inside bindAnalysisActions call occurs always. But bind of AdrianaChartAnalysis uses document root even when scope param passed - it binds all over document (fine w/ dataset guard) but this happens each time loadInsights runs; guard avoids duplicates. **Missing guard check on helper bind for cost inside bindUiActions while also second forEach adds non-mapped click through**. okay. Now **helper duplicate function with different loading global: window.setButtonLoading possibly global used also with CSS classes .is-loading; modules original CSS set. Now **two concerns remain worth deeper context verification via tools**: 1. **jQuery availability/order**. 2. **Backend contract for the AI chart endpoint for the new card chart IDs** — chart ids used in cost and well-being final questions and per-chart, valid in backend and responses contain expected keys (summary/key_insights...). 3. **CSRF** requirements. Also detect **double-analytic code duplication between cost and well-being latest snippets duplication (rule 1 "lógica duplicada maior peso")**, even in a refactor PR, that suggests additional consolidations. Medium severity. 4. **Produtividade: remember that removal of notify may change behavior fine; but old produtividade panel render didn't include projections section; the new shared renderer includes Projeções. no issue. 5. Escape in attribute context - question key placed in attribute value data-question renders through escapeHtml that doesn't escape quotes → attribute injection risk when key includes quote character. The key generated by backend suggestedQuestions. Are these server constants? They seem static. But if any of these question keys could originate from DB or older value in saved filters, then stored key with quote would break DOM attribute and create possibly new element attribute. But value only read via getAttribute on same element, so even break out from quoting might produce weird parse, but attacker needs control backend data. The backend produces fixed keys; the only dynamic content is label escaping inside text of button; fine. It's safe enough after escaping. Actually candidate: since keys are guaranteed server-side constants (e.g., 'who-high-risk'), quotes never present. No. **Maybe real XSS through question label is now escaped - improvement. Good. Now also check `well-being`: removed handling where q.key generated fallback 'question' — as before. The main plan: summarize then produce issues list with their tool plans. Let's prioritize potential issues definitely (medium / high) from reasoning: Issue A (high/medium): Module bind relies on container classes ('.pa-ca-dash', '.pa-wb-dash', '.pa-prod-dash') that need confirmation; plus jQuery load order on those pages — if missing, features stop. Tool: file_read template top area to confirm jQuery; code_search for those container classes and 'jquery' in templates. Actually two separate risk items: A1: helper requires jQuery loaded before adriana script: verify with template includes/script order. A2: selectors must match actual containers in twig: verify presence of pa-ca-dash/pa-wb-dash/pa-prod-dash in templates. Also requestFinalQuestionAnalysis maps chart ids to backend valid charts. For final question, both well-being and cost new cards request analysis with charts possibly not known server → whole series fails silently error message. Verify backend AI endpoint supported data for that module. B (medium/high): Backend/controller changes: `$risk['high']` and `['medium']` referenced — ensure exists with risk from... Actually not changed; ignore. C (medium): well-being new `escapeHtml` duplicates and firstMeaningfulAnalysisText duplicated between cost and well-being JS while helper exists ostensibly to dedupe — move it into shared helper exporting util, suggested. D (medium): All new AJAX posts (helper request and final question) do not send CSRF; some People Analytics endpoints use token auth, but verify either there is per-route CSRF required. If CSRF required, these would fail (or insecurely succeed). user rule: mutations require CSRF. Although AI analysis called via POST arguably triggers server-side generation; not mutate data, but could create logs/usage. Probably non-mutating read-like operation performed with POST to avoid caching. It may be safe. But codebase may enforce csrf in AbstractController JSON handling patterns. Investigate ai-analysis controller usage and route to see CSRF requirements; Add medium/low note verifying consistency in new code with existing across pages. Also other controller potential divide-by-zero changed? No. Double-click same final button doesn't send duplicate due disabled. new helper exported API `request`, `renderAnalysis`; cost/well-being use `request` and don't use helper's loading for question buttons - they ignore possible global setButtonLoading to prevent using helper setButtonLoading on their question btn? They manually manage. Duplicated loading management - fine. One bug spot: In helper `renderAnalysis(panel, analysis)` if one of the lists' items is non-string (e.g., an object) escapeHtml of object returns "[object Object]", not severe; responses controlled. One more careful item: helper `setButtonLoading` chooses global `window.setButtonLoading(button, isLoading, loadingText || 'Gerando...')` if exists. Global function may not accept same params or expect a dataset key; but this dashboard likely doesn't define a global `setButtonLoading`. If some other global does exist (maybe global helper from app accepts an object {btn, loading}? ), calling false button returns? Hmm, but the nullish: passes originalHtml? We cannot know. Possibly unnecessary. Now the API mapping for each module from the helper signature `module` direct into URL path uses encodeURIComponent(module) - safe. question default. Produtividade new module - `ANALYSIS_CHART_ID` from context: It's defined earlier? Removed? Not in diff shown except existing. Values like 'chart-...' presumably already used by prod backend. Issue on error response. In requestAnalysis helper fail handler tries parse jqXHR.responseJSON; else on HTTP error. handles 403/400 but maps to generic error text shown; user rule says distinct handling of 400/403/404/409 for AJAX mutations. AI analysis is non-mutating POST though. The JS merely shows message. Medium/low perhaps not essential. Now note template changes: They include only one extra asset javascript per page. Since helper depends on jQuery module loaded after print-report. Potential file load bug if module not found path etc. Not. Testing recommendation: check that the scripts paths exist in /js/people-analytics/modules. yes. Level of issues with citations and tool: **Verification tool purposes:** - code_search for 'jquery' include/script tag in the three templates to determine if jQuery is loaded prior to the helper (search_template text `modules/jquery` or `jquery.min.js` and file pattern templates files). Also code_search 'adriana-chart-analysis' to see inclusion order. - file_read_diff? Templates diff already given but not full file; file_read the full file path to see head includes (tool? For this exercise, plan uses file_read tool? 'file_read_diff' tool only diff. To read full file there is no file_read exposed? Tools available: code_search, file_read_diff, file_find. Actually instructions specify tools available to retrieve context "code_search, file_read_diff, file_find". There is no file_read; but they mention in rules "use file_read..."? Wait tool list includes only three tools: code_search, file_read_diff, file_find. Analysis rules mention using file_read? The instruction in PHP section references file_read/code_search but not in tool list. In plan we must describe tools from known set. But they listed in Tools (reference only — do not call): code_search, file_read_diff, file_find. But PHP rules mention `file_read` and `code_search` to verify claims. file_read not available; maybe use file_read_diff to view contexts of other files? file_read_diff takes path list and outputs git diff (only changed). We can also use code_search to locate tags. For reading template head, code_search text for `jquery` file within these twigs, or maybe file_read_diff of a path with no changes shows nothing. So use code_search as main verification. Therefore, craft plan call lines: 1. For container class presence: code_search for '.pa-ca-dash' / 'pa-wb-dash' / 'pa-prod-dash' in templates/people_analytics/*.html.twig. 2. For jQuery load order: code_search for 'jquery' with file patterns ['templates/people_analytics/*.html.twig'] (or `public/js/people-analytics/*.js`) to see standard dependency. Another approach: search for `jQuery(` usage in other modules or page assets reveals on each page Bottom scripts before HTML; but if the templates load jQuery from webpack chunk? e.g., via `<script src="{{ asset('js/vendor/jquery...') }}">` may be elsewhere in the page; execute code_search over those templates with 'jquery' text. 3. For chart IDs contract: search src/ for 'chart-evolucao-faltas' and 'chart-custo-produtividade' and 'ai-analysis' and 'bem_estar_ausencia' to see if supporting routes exist. 4. For the shape `rawValue` and `cost['total']` referenced: code_search in WellBeingAbsenceController.php for 'function cost' or 'costImpact' and 'rawValue' references. 5. q keys/escape in attribute: optionally file_read_diff? not needed. Also find server CSRF: code_search for 'csrf' in src/Controller/Api / PeopleAnalytics route files, e.g. pattern 'ai-analysis' routes. Let's structure Issues sorted severity. How many to include? typical plan with ~4-7. Ensure concrete descriptions in PT-BR. Possible severity assignment: 1. **high** – Contrato com o endpoint de IA: módulo cost final question maps chart IDs maybe nonexistent and bem_estar module route/chart may already exist; requires code_search. But if they were previously on prod (bem-estar questions added new) maybe necessarily created in earlier commits? However the current PR assigns new charts cost 'chart-custo-produtividade','chart-composicao-custos', and per-chart 'chart-evolucao-faltas'. We don't see any PHP adding ai-analysis handler for those module; existing endpoint might. This could fail feature but not data. Mark medium-high? Actually if chart id is not accepted by backend analyzer, response could 422/400 and final UI shows error; visible functional failure. Given code logic around that endpoint possibly generic search maps by key among list of available chart analyses received from generator? uncertain. So it's a verification issue, with medium severity until evidence. User-specific instruction: Contrato quebrado com backend must be checked specifically; one comment path "a confirmação do contrato com o endpoint" severity medium (because potential). But plan not final verdict, still reviewing. I can still list high? Since likely server may reject chart ids. Cost old used only 'chart-evolucao-custo-total'; they now call with chart ids that do not return summary layout for cost module unless corresponding answer analysis is implemented. AI module likely accepts chart template IDs defined elsewhere via prompt contents; use high severities only when certain. We flagged uncertain contract due. Keep medium and say "verificar"; impact if wrong: pergunta/ajuda do gráfico retorna erro para o usuário. Actually user guideline to identify actual suspected matter? It says to produce a review plan, issues include questions to verify and tools. Fine. 2. **high** – se jQuery não estiver garantido, novo helper pode quebrar as três telas. Needs verify: but mention as risk & tool. High only if evidence not; since old modules did not use jQuery? Both cost & produtividade old used fetch; well-being maybe: Old well-being code? There must have been elsewhere? Perhaps total uses jQuery? not in provided diff. So plausible jQuery availability cannot be assumed. Actually cost and well-being deps may include jQuery because PeopleAnalytics printed print-report used jQuery plugin? High enough as possible crash entire page. Value to verify. Wait check code? cost-analysis-dashboard.js may use `$(function(){})`? in old region not shown. It has resolveBrandColors etc. In diff the removed setAnalysisLoading contains no jQuery except? Old module might use $.ajax? Actually helper uses $.ajax; old cost used fetch only. If old code never depended on jQuery, there is solid ground suspicion jQuery absent. BUT in templates: bootstrap likely loaded with jQuery throughout the app; this project possibly uses jQuery for all pages. There is no proof absent. So do not automatically say high crash; in the plan issue: "confirmar que jQuery é carregado antes do helper" because the shared helper assumes `jQuery` global at module evaluation (the IIFE is invoked with jQuery at end). If absent, it throws and interrupts the following module scripts, disabling dashboards. Could be high if uncovered. Should we search whether page includes jquery before the final scripts. We'll label risk medium/high pending tool. Since review plan, it's acceptable to list as high concern with verification tool as immediate action. Actually the instruction: must produce issues with severity; ensure issues sorted? Probably expected planning is not final judgment but good. 3. **high/medium - Possível duplo carregamento/contrato da análise final**: In cost final suggested question returns to finalEl with button originally html restored; during analysis `finalEl.textContent = 'Gerando...'` before request; when no text found shows fallback. fine not. 4. **medium** – Duplicação de helpers (firstMeaningfulAnalysisText, escapeHtml, estados de carregamento) entre cost/well-being além de helper novo central já existente → duplicar a mesma lógica que a PR procura eliminar; extrair para módulo compartilhado. This duplicates logic but no functional break. per custom highest priority rule, this is important but not blocking. 5. **medium** – Well-being/others binding callback inside bindAnalysisActions may cause Adriana bind on every insights reload with duplicate scan... fine but code-quality. 6. **low/medium – `escapeHtml` ao montar `data-question` em atributo**: use textContent-based escape doesn't escape aspas, escaping HTML-attr inaccurate; today's keys constant, safe. Marker to recommend using attribute assignment via DOM after building, not necessary. Low. 7. **low** – cost dashboard has fallback 'chart-evolucao-custo-total' but not mapped in question; defaults for cost. fine. 8. **low** – In helper renderAnalysis, no consideration `analysis.projections` null etc. renderList filters. fine. Another high candidate: **helper's `bind()` guard uses dataset.adrianaAnalysisBound stored only on actual button; but second call to cost `bindUiActions`? binds once. no. Potential actual bug: after `loadInsights` in well-being repopulates the questions container, the click handlers bound to old buttons vanish automatically with nodes, but new bind happens -> ok. Wait: **well-being final question: requestFinalQuestionAnalysis uses chart IDs, and only fallback if unknown key. All fine. Maybe new subtle bug: old code (cost) requestAnalysis used chart map `.pa-ca-dash`? The removed function got any key. In new binding, they call AdrianaChartAnalysis.bind inside bindUiActions but the element with class 'pa-ca-dash .pa-prod-analysis[data-analysis]''. However cost had also `.pa-prod-analysis` buttons without data-analysis maybe to take screenshot printing handled differently... unknown. Need actually see templates to know which buttons structure. Use code_search. Given the plan format, we should propose several tool calls on issues. Let's form final output with summary and each issue with "→ tool args". Important: no code fences; no Markdown headings; output plain text. Severity ordering high→low. Let's assign: 1. high — Verificar se jQuery é carregado antes do helper em todas as páginas; helper termina com `})(jQuery)` e depende do símbolo global. Module cost/produtividade/well-being now all rely on helper being defined. If not, adriana file throws and the following module de economia not loaded => dashboards quebram. Tools code_search/f file_read_diff? Need code_search query 'jquery' in file patterns templates/people_analytics/*.html.twig to see include/order. 2. high? medium — Contrato com backend: chart ids novas in final question in each module... To mitigate maybe search for ai-analysis handler and acceptance. Use code_search src/ for string chart ids like 'chart-custo-produtividade', 'chart-composicao-custos', also 'bem_estar_ausencia' and 'chart-evolucao-faltas'. I think severity high if failing feature core: 'Perguntas sugeridas' + per-chart analysis return error if those chart id not implemented. But they may be; thus verification. Keep 'medium' with clarity? The request is review plan; tools verify. Usually risk: back-end contract mismatch -> core feature fails -> severity high when probably. Combine two modules cost & well-being chart id validity. Let's assign high because if not exists, central element of PR fails, and this must be checked before approving. But if they exist? plan not output final severity? Format expects. Use high for actual suspicion: I'm not certain they are missing. In cost there was nothing else in diff implementing those chart IDs; but there could be existing endpoints because earlier bugfix branch for produtividade had similar rich per chart? The shared AI machinery may be generic and accepts any chart id if chart exists; chart-custo-produtividade belong to cost dashboard with charts already in template maybe existed. So maybe exists. Keep medium (requiring verification) to avoid false blocked. 3. medium — Modulo compartilhado esquecido: ainda duplicado escapeHtml/firstMeaningful/loading em cost/well-being + produtividade: suggest export utility. Low/medium. 4. medium — chamadas AJAX de análise não enviam CSRF; verificações if endpoints protected; keep low/medium. Better medium. Let's verify from real structure: Wait all dashboard uses fetch previously without CSRF, and well-being current bind introduced new charts for same 'bem_estar_ausencia' AI endpoints but well-being controller previously had ai? The well-being PHP file lacks any ai analysis action in provided diff; suggesting existence of higher-level generic endpoint. If generic AI endpoint creates 'AI analysis' requests generating tokens/meters? Maybe no CSRF protection since all these requests call internal service to generate and log — needed to be resolved. Also add: 5. low — produtividade uses module literal 'produtividade' referring to API_BASE; is path correct? old API_BASE likely '/people-analytics/api/produtividade', so yes. 6. low — when error occurs in shared helper inside panel—no console on errors? no. 7. low - fallback `chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-evolucao-custo-total'` in cost; if questionKey not recognized, default; well-being default 'chart-custo-ausencias-area'. For both new default charts must exist. Maybe one should check option module API name mismatch in cost: `AI_MODULE='visao_geral_custos'` — naming underscores Portuguese; ensure matches backend route. Search on src. Need method to structure plan but can group related verification under concrete issues. Now create final answer, issues 5 in total (or 6), with each 1-3 arrow lines. Need to respect: "Issues must be numbered continuously and sorted by severity in descending order". Given examples show 1. [severity] ... subsequent arrows. We'll make: Summary (PT-BR): A PR centraliza a análise "Adriana" dos gráficos num helper jQuery compartilhado usado pelos dashboards de Produtividade, Custos e Bem-estar/Ausência, adiciona perguntas finais com nova lógica no front (sem CSRF no POST) e no backend do Bem-estar/Ausência evita gerar conclusões quando há poucos dados, expondo rawValue do custo. etc. Issues 1. [high] Carregamento: if sequence of scripts jquery etc. → code_search `jquery` patterns... → file_read templates? no full. 2. [high??] Contrato com backend das novas chart ids & module names: verify endpoints `/people-analytics/api/visao_geral_custos/chart/chart-custo-produtividade/ai-analysis`, etc. and bem_estar_ausencia / chart-evolucao-faltas. Since failure core function. → code_search pattern 'chart-custo-produtividade|chart-composicao-custos|chart-evolucao-faltas|chart-correlacao-bem-estar-ausencia' in src/ & templates to see existing chart support → code_search 'ai-analysis' in src/Controller/... to verify routing and expected response keys. 3. [medium] Nova duplicação (duplicação por compartilhamento) (custom-rule priority: lógica duplicada) escapes e firstMeaningfulAnalysisText ficaram duplicados entre cost/well-being mesmo com helper novo; movimento utilidades ao helper e reutilização. Tools optional file_read_diff. If no tool needed omit. 4. [medium] Requisições que disparam IA sem CSRF, e erros 400/403/409 generalizados. Pelo histórico sem token; fazer verificação route; maybe use code_search for expected ajax post headers in others e controller; raise as test if generator uses has CSRF middleware. → code_search 'csrf' around endpoints pattern 'ai-analysis' in PHP controllers/routes; see if token expected. 5. [low] `escapeHtml` usado para montar atributo data-question com chave gerada no backend (não escapa aspas no contexto de atributo) — hoje só chaves fixas então uso ok; melhor usar `textContent` quando criar botões. No tools needed maybe. Dups w/ well-being could escape also apostrophes? For safety as low, may include code_search for suggestedQuestions return keys. But not required. Another candidate about static wrappers: combine container classes plus selector verification in issue tool calls same as issue1? Possibly codify issue: Seletores `.pa-ca-dash/.pa-wb-dash` etc. need classes in templates. code_search each for wrapper classes. We can merge with jQuery issue? Independent confirmation of container wrapper selectors and existing `data-analysis`/question class layout; risk that previously bound buttons may now be skipped (produtividade `.pa-prod-dash` scope narrower than old `[data-analysis]`) or charts inserted dynamically. Search templates for `pa-prod-dash` etc. Let's include issue high/medium about binding scope/dynamic content and wrappers. Add another issue: Might not be reasonable too many. Keep final six: we can start issues: 1 [high] jQuery 2 [medium] bind container classes/dynamic 3 [medium] contract endpoint 4 [medium] CSRF 5 [low] duplication 6 [low] escape attr But severity order: put contract before? Sort high then mediums; order among mediums by importance; fine. Could make contract high? Hmm maybe classify high: Funcionalidade central da PR se apoia em endpoints & IDs de gráfico que não aparecem nesta PR; If call fails the user sees broken "não gerou", but only in edge? Not critical security/data. Labeling medium seems fair with urgent verification. But tool plan should simulate review: The whole issue discovery is for a review plan not final conclusions. High is for may cause system crash/critical functional failures; jQuery missing would prevent all modules -> crashed dashboards, high. Binding selector mismatch may break per-chart analysis on module: functional failure. If one of three completely loses the feature it's high perhaps. But functions of dashboards unaffected except the analysis buttons (which had old features) - not "critical" maybe medium. But per-chart "Analisar conclusões" central feature. Keep medium but near top. Let's craft deeper accurate details with dynamic when issues rely on verifying. Need mention explicit line refs? We know line numbers aren't handy for JS new files? Could mention function names. Let's produce final in pt-BR with required style - no markdown headings after body? The prescribed format starts 'Summary:'. We'll follow: lines start. Careful not use code fence. Now issue details: Issue 1 desc: "O novo helper é aberto com `(function ($) { ... })(jQuery)` e todos os módulos passam a depender dele; nas versões anteriores, Cost e Produtividade usavam `fetch` sem exigir jQuery. Se as páginas não carregarem o jQuery antes do script do helper, o arquivo lança erro e os scripts seguintes (módulos dos dashboards) não executam, travando análises e filtros. Verifique a ordem de inclusão nas três páginas (posicionamento do script do helper em relação ao jQuery) e, se não houver jQuery garantido, trocar a implementação para fetch ou carregar jQuery antes." Tools: → code_search 'jquery' file patterns templates/people_analytics/cost_analysis_dashboard.html.twig etc to confirm the global is loaded before the bottom helper block. Careful names. Issue 2: contratos: "Nas perguntas recomendadas, o front chama a API `/people-analytics/api/visao_geral_custos/chart/chart-custo-produtividade/ai-analysis` e id's como `chart-composicao-custos`,`chart-bem-estar-area`; o PR não altera em lugar nenhum o backend que valida esses ids — confirmar que o serviço de IA já conhece essas cartas e que responde com `ai_analysis.summary/key_insights/...`; senão a pergunta/geral não retorna e o usuário verá erro — para custo módulo AI_MODULE vs API_BASE confuso maybe backend receives endpoint `visao_geral_custos`. Actually API_BASE for cost-analysis is '/people-analytics/api/cost-analysis' while AI uses separate module endpoint originally. Request path is `/people-analytics/api/visao_geral_custos/chart/.../ai-analysis`; there might also be need to confirm the API route prefix cost doesn't match. The route and controller for this API presumably exists; Search "function aiAnalysis" or regex 'ai-analysis' under PeopleAnalytics.`: → code_search 'ai-analysis' with file patterns ['src/Controller/**/*.php'] to map recognized module/chart pairs and response schema. → code_search pattern 'chart-custo-produtividade|chart-composicao-custos|chart-evolucao-faltas|chart-correlacao-bem-estar-ausencia|bem_estar_ausencia' with src and templates to see coverage. Issue 3 (medium) seletores de escopo e conteúdo dinâmico: "Produtividade e Custos passam a amarrar os clicks via selector restrito `.pa-prod-dash`/`.pa-ca-dash`; antes qualquer botão `[data-analysis]` era usado de forma global e pager/chart re-render dinâmico? Confirm wrappers exist, class corrects, no buttons outside scope used. Também o guard `data-adriana-analysis-bound='1'` impede rebind; se fragmento de dashboard (perguntas sugeridas do Bem-estar) for reposto via AJAX novo render no HTML create a new buttons with bind, fine because bind ui? need force rebind for these class content - Actually helper cannot bind because container re-render? In produtividade the help bind only once in bindUiActions; if pages with new charts loaded (pagination / brands switching), buttons will not get event. Look at cost/loadInsights? not." This issue can be centered on pager. Use code_search templates for class strings and JS for 'pager-action' event reload HTML. → code_search 'pa-prod-dash|pa-ca-dash|pa-wb-dash' on templates to ensure existence. → code_search for occurrences where chart cards HTML estar parse? maybe too indirect. Also there may not be pager dynamic chart list. Maybe skip if scope limited; but produtividade has pager (bind pager action) and could reload analysis buttons across pages. Risk could be that paged content includes these blocks? search not trivial; no evidence. Might be lower. Decide to choose separate robust potential: **filtros que alteram data análise e o backend**: no. Maybe instead issue: **eventos re-analisados duplicados ao chamar AdrianaChartAnalysis.bind repetidamente em loadInsights... harml.** Ok. Issue 4 (medium): sem CSRF + tratamento genérico de erros: mention. → code_search 'ai-analysis' route definitions + controller authorization/firewalls to see if POST sem token é aceito; then if accepts, fine but comment can be; yet need verify global helper pattern other modules use token. Issue 5 (medium/low duplication): mention both. → file_read_diff? Not needed. Perhaps arrow pointing code_search "existing analyze module" ... no. Issue 6 (low) attribute-escape key. Could add? Maybe already low maintainability; no need. Maybe include template god-twig? Templates modifications are a simple script include; not issue. Another nuance: **in produtividade they removed `renderAnalysisList`/`renderAnalysisResult`: chart panel CSS: same code moved. Good.** Potential risk: The new module script "adriana-chart-analysis.js" is referenced before cost module but if not loaded due to npm asset build absent (new file) - normal. Another potential important bug to explore: **the helper's `bind` on data-analysis uses `$(selector).each(...)` and inside uses vanilla `.closest('.pa-prod-card')`; Well-being card? class included in template probably. Now final plan wording. Let's also check what tool names produce from rules repeated currently. use code_search and file_read_diff if needed? For the contract issue, maybe file_read_diff on src controller containing route? Since diff only content; full current file maybe has AI methods; no direct file read; but code_search covers. For verifying rawValue usage completeness: code_search for 'rawValue' in src and templates to ensure no other consumer expects format; and any JS has cost['total'] shape. Could worth flag: backend changes done inside controller that aggregates business logic (large controller god) - existing controller responsibilities. It stays in controller building AI insight texts; added logic only in controller; per the controller rule of god object: suggests moving out to service; but building summary in controller pre-existing no new god expansion severe (few lines). Maybe include as low with no tool; but rules prioritize god object already big. Controller has thousands of lines (diff located line ~1247 region) - yes huge. Any growth inside is slight. Is it already mixing DQL? We don't know. Mention low suggestion? Hmm adding an issue adds noise. The user rule says highest focus if controller already big: in that case even minimal growth could be the most important finding. Since server file around >900 lines plus others; indeed examples line 900 etc for suggestedQuestions. I could add a low/medium note: "O controller de Bem-estar já é extenso e concentra orquestração HTTP e regra de negócio; PR aumenta essa lógica (novos campos, mensagens) no próprio controller - verificar se endpoint seguradores presentes; recommended moving to insights service/query object if feasible." Given constraints, controller-specific rules treat as principal finding with 'maior peso', so perhaps set medium, but include caution. Hmm, it says if already large any increase is main finding even if rest OK. So include medium/low. Final Issues maybe 7. Keep sized. Sort severity: high: 1 [high] jQuery dependency/order. Wait maybe set jQuery high but actual verified? Initially uncertain. As a plan, we verify first. If eventually jQuery is loaded, issue disappears. But plan lists it high anyway because potential if undeclared. Risk framing wants review happen. Good. Then medium ordered by priority: 2 [medium] backend contract chart IDs + module prefix 3 [medium] scope selector/wrappers 4 [medium] CSRF 5 [medium low?] duplication (logic duplication rule highest) high-in-custom maybe medium 6 [low] focus on code with no tests etc? maybe omit test note in issues. Careful: Duplicating same helper logic also was main motivator of PR; as suggestion move firstMeaningfulAnswer in helper. For tool arrows, always describe purpose; each issue at least one -> good; optional no tool line for pure code style. Make sure format isn't Markdown: no triple ticks. Write each tool invocation with proper syntax (no markdown): e.g. → code_search search_text='jquery|jQuery' file_patterns=['templates/people_analytics/cost_analysis_dashboard.html.twig','templates/people_analytics/produtividade_dashboard.html.twig','templates/people_analytics/well_being_absence_dashboard.html.twig'] use_perl_regexp=true — confirmar... Tool params acceptable. For issue two: → code_search search_text = 'chart-custo-produtividade|chart-composicao-custos|chart-evolucao-faltas|chart-correlacao-bem-estar-ausencia|chart-ausencias-motivo|chart-bem-estar-area|chart-custo-ausencias-area' file src + template, use regex. → code_search 'ai-analysis' under 'src/Controller/Api' to see support and response shape. CSRF: pattern csrf on those modules and route? file maybe only no route files. Search string 'csrf' in src/Controller/Api/PeopleAnalytics/*.php to see endpoints use csrf. Selectors: search 'pa-prod-dash' templates. We rely on wrappers existence; and data attributes text. Tests: maybe mention no tests? no. Maybe enough. Let's provide summary issues list clean. Now double-check requirement: "Output nothing else — no preamble... Always respond in Português (pt-BR)". We'll produce answer accordingly. Draft: Summary: A alteração centraliza ... Issues 1. [high] O novo arquivo compartilhado depende do jQuery global ... → code_search ... — localizar includes de jQuery nas três páginas ... → code_search ... no module js any? Wait no tools needed beyond. 2. [medium] Front dispara chamada de IA para ids... 3. [medium] Restrição de seletor novo pode silenciar botões... But issue 2 &3 both medium; ordering coherent whatever main backend contract rule second. Between duplication & CSRF sort maybe CSRF first? The mandate priority says duplicated logic highest prior then contract. We can iterate among medium no necessity. Let me place duplication before the backend contract per custom priorities? Their custom ordering rule #1 = duplicated logic - greatest weight within that sub-user rule. Yet separate top high is jquery. So order among mediums: duplicate first (rule) but backend contract broken is #2 also significant though not in all. Fine: after high put duplicate? Eh. Better issue 2 still code duplication. I can also fold duplication into low if the main helper refactor already substantially deducts duplications; leftover functions minor. Let's settle final: #1 high jQuery; #2 medium contract backend; #3 medium duplication; #4 medium CSRF/erro; #5 low wrappers? wrappers better medium combine with binding issues. Merge #3 with wrapper? We can make #3 medium "novo bind nos três dashboards usa seletores de container e uma marcação de uma vez; verificar wrappers..." and duplication as #5 low to avoid too much speculation. Fine. Backend PHP logic issue? Add an issue about controller size? maybe #6 low. No issues invented with low value; ensure high/med accurate. Full blank per rule: each '→' tool line in issue with a dash. If issue requires no tool, omit. Potential test coverage note? no. Time to write final content in Portuguese. Ensure description covers location, nature, impact. Keep straightforward. Example arrow text uses "— confirmar...". Good.
Summary: A alteração extrai para um helper jQuery compartilhado (`adriana-chart-analysis.js`) a lógica de análise "Adriana" dos dashboards de People Analytics, refatora Produtividade, Custos e Bem-estar/Ausência para usarem esse helper, adiciona perguntas sugeridas com resposta final em Custos e Bem-estar/Ausência e ajusta o backend de Bem-estar/Ausência para evitar conclusões quando não há dados suficientes (novo campo `rawValue` no custo). Issues 1. [high] O novo helper (`adriana-chart-analysis.js`) é encerrado com `})(jQuery)` e passa a ser pré-requisito para os módulos de Produtividade, Custos e Bem-estar/Ausência, que antes usavam `fetch` e não dependiam necessariamente do jQuery. Se o jQuery não estiver carregado antes desse script nas três páginas, o arquivo lança um TypeError e interrompe a execução dos módulos seguintes, quebrando filtros, gráficos e análises das telas inteiras. → code_search search_text='jQuery|jquery|jquery.min' file_patterns=['templates/people_analytics/cost_analysis_dashboard.html.twig','templates/people_analytics/produtividade_dashboard.html.twig','templates/people_analytics/well_being_absence_dashboard.html.twig'] use_perl_regexp=true — confirmar se existe inclusão do jQuery antes do bloco de scripts que carrega o helper → code_search search_text='adriana-chart-analysis|people-analytics/modules' file_patterns=['templates/people_analytics/cost_analysis_dashboard.html.twig','templates/people_analytics/produtividade_dashboard.html.twig','templates/people_analytics/well_being_absence_dashboard.html.twig'] — confirmar a ordem relativa entre o jQuery e o script do helper 2. [medium] As perguntas sugeridas e as análises por gráfico agora chamam a API com identificadores de gráfico que não aparecem em nenhuma alteração desta PR (`chart-custo-produtividade`, `chart-composicao-custos`, `chart-evolucao-faltas`, `chart-correlacao-bem-estar-ausencia`, `chart-ausencias-motivo`, `chart-bem-estar-area`, `chart-custo-ausencias-area`) e com o módulo `bem_estar_ausencia`/`visao_geral_custos`. Se o backend de IA não reconhecer esses pares módulo/gráfico ou devolver um formato diferente do esperado (`ai_analysis.summary`, `key_insights`, etc.), todas as novas perguntas cairão no estado de erro e o recurso principal da PR ficará inoperante. → code_search search_text='chart-custo-produtividade|chart-composicao-custos|chart-evolucao-faltas|chart-correlacao-bem-estar-ausencia|chart-ausencias-motivo|chart-bem-estar-area|chart-custo-ausencias-area|bem_estar_ausencia' file_patterns=['src/'] use_perl_regexp=true — verificar se o backend já suporta esses gráficos/módulos → code_search search_text='ai-analysis' file_patterns=['src/Controller/'] — mapear as rotas de IA existentes e o formato de resposta devolvido para comparar com o que o helper e `firstMeaningfulAnalysisText` esperam 3. [medium] O vínculo dos botões passou a depender de seletores de escopo restritos (`.pa-prod-dash .pa-prod-analysis[data-analysis]`, `.pa-ca-dash ...`, `.pa-wb-dash ...`) e do guard `data-adriana-analysis-bound`, substituindo o vínculo global anterior por `[data-analysis]`. Se algum desses containers não existir no Twig com exatamente esse nome de classe, ou se houver botões de análise fora desses containers (ex.: em blocos paginados/carregados via AJAX depois do `bindUiActions`), os botões ficarão sem evento e a análise não abrirá — regressão silenciosa de funcionalidade. → code_search search_text='pa-prod-dash|pa-ca-dash|pa-wb-dash' file_patterns=['templates/people_analytics/*.html.twig'] use_perl_regexp=true — confirmar que os wrappers usados nos seletores existem nas três telas → code_search search_text='data-analysis=' file_patterns=['templates/people_analytics/*.html.twig'] — conferir se há botões `data-analysis` fora dos containers/fora do HTML estático carregado no `bind` 4. [medium] O controller de Bem-estar/Ausência já é extenso e concentra orquestração HTTP com regras de negócio e montagem de textos/insights; esta PR adiciona mais lógica de decisão lá dentro (cálculo de `$hasMeaningfulData`, exposição de `rawValue`, nova mensagem de fallback). Isso aumenta a responsabilidade do controller num arquivo grande; o ideal é avaliar a extração dessa montagem de insights para um service/query dedicado, mantendo o controller apenas como orquestrador HTTP. → code_search search_text='rawValue' file_patterns=['src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php'] — revisar todos os usos e a forma do array `cost['total']` para garantir que `rawValue` existe em todos os caminhos que o consomem → code_search search_text='function (costImpact|costAnalysis|buildFinalInsight|suggestedQuestions)' file_patterns=['src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php'] use_perl_regexp=true — dimensionar o tamanho das responsabilidades atuais do controller antes de decidir a extração 5. [medium] As novas chamadas AJAX que disparam análises (helper `request` e `requestFinalQuestionAnalysis` de Custos/Bem-estar) são POST sem token CSRF e sem tratamento distinto para 400/403/404/409 — o erro é sempre convertido numa mensagem genérica. Se o backend exigir CSRF nesses endpoints, as requisições falharão; se não exigir, a ausência de token deixa o endpoint dependente apenas do header `X-Requested-With`, que não é proteção real contra CSRF. → code_search search_text='csrf|isCsrfTokenValid|X-Requested-With' file_patterns=['src/Controller/Api/PeopleAnalytics/*.php'] use_perl_regexp=true — verificar se as rotas de `ai-analysis` validam token CSRF e como os outros POSTs da área tratam isso 6. [low] Mesmo com a centralização no helper, a lógica de extrair o primeiro texto útil da resposta (`firstMeaningfulAnalysisText`) e o `escapeHtml` foram reimplementados de forma quase idêntica em `cost-analysis-dashboard.js` e `well-being-absence-dashboard.js`. Como a PR tem como objetivo justamente reduzir duplicação, esses utilitários deveriam ser exportados pelo helper compartilhado e reutilizados pelos módulos, evitando divergência futura de comportamento. → code_search search_text='function firstMeaningfulAnalysisText|function escapeHtml' file_patterns=['public/js/people-analytics/modules/*.js'] use_perl_regexp=true — localizar todas as cópias e avaliar a extração para o `adriana-chart-analysis.js`

main_task

Request #1 deepseek-v4-flash P:19.86K C:439 CR:2.69K CW:0 4177ms
Reasoning
Vamos revisar as mudanças de código nos arquivos listados. Preciso analisar cada arquivo individualmente. Vamos começar entendendo o contexto. A PR centraliza a análise "Adriana" em um helper jQuery compartilhado, refatora os dashboards para usar o helper e adiciona perguntas sugeridas com respostas finais, além de ajustes no backend para evitar dados insuficientes. Vou executar as buscas planejadas para confirmar os problemas potenciais. Primeiro, vou verificar a ordem dos scripts nos templates Twig — se jQuery está carregado antes do helper. Também verificar se o backend suporta os chart IDs usados, os seletores de containers, e o controller de well-being. Vamos fazer várias chamadas de busca em paralelo.
Tool Calls (2)
code_search
Show Details
{"search_text": "jquery|jQuery|jquery.min", "file_patterns": ["templates/people_analytics/cost_analysis_dashboard.html.twig", "templates/people_analytics/produtividade_dashboard.html.twig", "templates/people_analytics/well_being_absence_dashboard.html.twig"], "use_perl_regexp": true}
File: templates/people_analytics/cost_analysis_dashboard.html.twig
Match lines: 1
601|			if (window.jQuery && jQuery.fn.tooltip) {

File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 1
362|			if (window.jQuery && jQuery.fn.tooltip) {

File: templates/people_analytics/well_being_absence_dashboard.html.twig
Match lines: 1
390|			if (window.jQuery && jQuery.fn.tooltip) {

code_search
Show Details
{"search_text": "adriana-chart-analysis|people-analytics/modules", "file_patterns": ["templates/people_analytics/cost_analysis_dashboard.html.twig", "templates/people_analytics/produtividade_dashboard.html.twig", "templates/people_analytics/well_being_absence_dashboard.html.twig"]}
No matches found
Request #2 deepseek-v4-flash P:20.44K C:306 CR:20.22K CW:0 2255ms
Reasoning
Curioso. Nenhuma inclusão do jQuery antes do bloco? Vamos ler o template para ver o que há antes. Talvez o jQuery seja incluído via base template (extends). Vamos ler as áreas de scripts nos templates.
Tool Calls (3)
file_read
Show Details
{"file_path": "templates/people_analytics/cost_analysis_dashboard.html.twig", "start_line": 560, "end_line": 610}
File: templates/people_analytics/cost_analysis_dashboard.html.twig (Total lines: 610)
IS_TRUNCATED: false
LINE_RANGE: 560-610
560|			<div class="pa-ar-final-insight__questions">
561|				<span class="pa-ar-final-insight__questions-label">Perguntas sugeridas</span>
562|				<div class="pa-ar-final-insight__questions-list">
563|					<button type="button" class="pa-ar-suggested-question" data-question="overpaying-no-return">
564|						<i class="fas fa-wand-magic-sparkles"></i>
565|						Onde estamos pagando acima do mercado sem retorno?
566|					</button>
567|					<button type="button" class="pa-ar-suggested-question" data-question="hidden-costs-recovery">
568|						<i class="fas fa-wand-magic-sparkles"></i>
569|						Quanto recuperaríamos endereçando os custos ocultos prioritários?
570|					</button>
571|					<button type="button" class="pa-ar-suggested-question" data-question="exit-risk">
572|						<i class="fas fa-wand-magic-sparkles"></i>
573|						Quais ações reduzem risco de saída?
574|					</button>
575|				</div>
576|			</div>
577|		</div>
578|
579|	</div>
580|</div>
581|
582|{% endblock %}
583|
584|{% block javascripts %}
585|	{{ parent() }}
586|
587|	<script src="{{ asset('js/metahuman-standard.js') }}"></script>
588|
589|	{# Highcharts (mesmo conjunto usado pelos outros dashboards) #}
590|	<script src="https://code.highcharts.com/highcharts.js"></script>
591|	<script src="https://code.highcharts.com/highcharts-more.js"></script>
592|	<script src="https://code.highcharts.com/modules/exporting.js"></script>
593|	<script src="https://code.highcharts.com/modules/accessibility.js"></script>
594|
595|	<script src="{{ asset('js/people-analytics/print-report.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
596|	<script src="{{ asset('js/people-analytics/modules/adriana-chart-analysis.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
597|	<script src="{{ asset('js/people-analytics/modules/cost-analysis-dashboard.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
598|
599|	<script>
600|		document.addEventListener('DOMContentLoaded', function () {
601|			if (window.jQuery && jQuery.fn.tooltip) {
602|				$('[data-toggle="tooltip"]').tooltip();
603|			}
604|			if (window.PeopleAnalytics && window.PeopleAnalytics.CostAnalysisDashboard) {
605|				window.PeopleAnalytics.CostAnalysisDashboard.init();
606|			}
607|		});
608|	</script>
609|{% endblock %}
610|
file_read
Show Details
{"file_path": "templates/people_analytics/produtividade_dashboard.html.twig", "start_line": 330, "end_line": 380}
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|
file_read
Show Details
{"file_path": "templates/people_analytics/well_being_absence_dashboard.html.twig", "start_line": 360, "end_line": 405}
File: templates/people_analytics/well_being_absence_dashboard.html.twig (Total lines: 399)
IS_TRUNCATED: false
LINE_RANGE: 360-399
360|			<div class="pa-ar-final-insight__questions">
361|				<span class="pa-ar-final-insight__questions-label">Perguntas sugeridas</span>
362|				<div class="pa-ar-final-insight__questions-list" data-wb-questions>
363|					<span class="pa-ar-table__empty">Carregando perguntas…</span>
364|				</div>
365|			</div>
366|		</div>
367|
368|	</div>
369|</div>
370|
371|{% endblock %}
372|
373|{% block javascripts %}
374|	{{ parent() }}
375|
376|	<script src="{{ asset('js/metahuman-standard.js') }}"></script>
377|
378|	{# Highcharts (mesmo conjunto usado pelos outros dashboards) #}
379|	<script src="https://code.highcharts.com/highcharts.js"></script>
380|	<script src="https://code.highcharts.com/highcharts-more.js"></script>
381|	<script src="https://code.highcharts.com/modules/exporting.js"></script>
382|	<script src="https://code.highcharts.com/modules/accessibility.js"></script>
383|
384|	<script src="{{ asset('js/people-analytics/print-report.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
385|	<script src="{{ asset('js/people-analytics/modules/adriana-chart-analysis.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
386|	<script src="{{ asset('js/people-analytics/modules/well-being-absence-dashboard.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
387|
388|	<script>
389|		document.addEventListener('DOMContentLoaded', function () {
390|			if (window.jQuery && jQuery.fn.tooltip) {
391|				$('[data-toggle="tooltip"]').tooltip();
392|			}
393|			if (window.PeopleAnalytics && window.PeopleAnalytics.WellBeingAbsenceDashboard) {
394|				window.PeopleAnalytics.WellBeingAbsenceDashboard.init();
395|			}
396|		});
397|	</script>
398|{% endblock %}
399|
Request #3 deepseek-v4-flash P:22.62K C:210 CR:20.74K CW:0 2449ms
Reasoning
Os templates têm `{{ parent() }}` no bloco javascripts. O template base (provavelmente um layout principal) pode incluir jQuery. Preciso verificar o template base. Vamos procurar onde está o bloco javascripts pai, e verificar se jQuery é incluído lá. Vamos procurar o layout base. Vejamos o topo dos templates para saber qual extends.
Tool Calls (2)
file_read
Show Details
{"file_path": "templates/people_analytics/cost_analysis_dashboard.html.twig", "start_line": 1, "end_line": 20}
File: templates/people_analytics/cost_analysis_dashboard.html.twig (Total lines: 610)
IS_TRUNCATED: false
LINE_RANGE: 1-20
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|	{# Importamos o CSS do Atração e Retenção para reusar todos os componentes
8|	   .pa-ar-* (heatmap-tabela, funil, talents, market cards, final-insight,
9|	   attention, insight, corr-card, table zebrada, etc.). O wrapper usa
10|	   pa-ar-dash + pa-ca-dash para herdar tokens e adicionar overrides. #}
11|	<link rel="stylesheet" href="{{ asset('css/people_analytics/attraction-retention-dashboard.css') }}?v={{ 'now'|date('YmdHis') }}">
12|	<link rel="stylesheet" href="{{ asset('css/people_analytics/cost-analysis-dashboard.css') }}?v={{ 'now'|date('YmdHis') }}">
13|	<link rel="stylesheet" href="{{ asset('css/people_analytics/print-report.css') }}?v={{ 'now'|date('YmdHis') }}">
14|{% endblock %}
15|
16|{% block container %}
17|
18|{# Padrão institucional dos dashboards de People Analytics: Adriana #}
19|{% set userAvatar = asset('images/ia_images/adriana.png') %}
20|{% set userName = 'Adriana' %}
file_find
Show Details
{"query_name": "base"}
.claude/agents/especialistas/time_management/profissional/time_sheet/timesheet_database_diagram.drawio
data/Base_Malwee_2018.xlsx
data/Mini_Base_Malwee_2018.xlsx
docs/engineering/decisions/adr-003-database-change-discipline.md
docs/engineering/templates/database-change.md
docs/finance/08-database-migrations.md
docs/payments/decisions/adr-004-daily-invoice-based-plan-billing.md
public/css/metahuman-standard/core/base.css
public/images/dei_assessment/report/dei_admin_level_base.jpg
public/images/dei_assessment/report/dei_admin_level_base_clean.jpg
public/images/dei_assessment/report/dei_admin_level_base_clean2.jpg
public/images/empty-base-table.png
public/images/relatorios/Base_azul_porcentagem.png
public/images/relatorios/Base_vermelha_porcentagem.png
public/images/relatorios/base_capa.png
public/js/ckfinder/core/connector/php/vendor/aws/aws-sdk-php/src/DatabaseMigrationService/DatabaseMigrationServiceClient.php
public/js/ckfinder/core/connector/php/vendor/aws/aws-sdk-php/src/DatabaseMigrationService/Exception/DatabaseMigrationServiceException.php
public/js/ckfinder/core/connector/php/vendor/microsoft/azure-storage/src/Common/Internal/ACLBase.php
public/js/ckfinder/core/connector/php/vendor/microsoft/azure-storage/src/Common/Middlewares/MiddlewareBase.php
public/js/ckfinder/core/connector/php/vendor/symfony/http-kernel/Profiler/BaseMemcacheProfilerStorage.php
public/js/games_web/desafio_das_tres_salas/database_manager.js
public/js/gridstack/angular/projects/lib/src/lib/base-widget.ts
public/js/gridstack/dist/angular/esm2020/lib/base-widget.mjs
public/js/gridstack/dist/angular/lib/base-widget.d.ts
public/js/gridstack/dist/angular/src/base-widget.ts
public/js/gridstack/dist/dd-base-impl.d.ts
public/js/gridstack/dist/dd-base-impl.js
public/js/gridstack/dist/dd-base-impl.js.map
public/js/gridstack/dist/es5/dd-base-impl.d.ts
public/js/gridstack/dist/es5/dd-base-impl.js
public/js/gridstack/dist/es5/dd-base-impl.js.map
scripts/adriana/baseline_topic_buscar.sh
scripts/adriana/baseline_topic_member_research.sh
scripts/adriana/baseline_topic_ssma.sh
src/Command/ListDeployDatabasesCommand.php
src/Domains/FileManagement/v2/Service/DocusealBaseUrlResolver.php
src/Service/MetaHuman/Test/TestDatabaseMaintenanceService.php
src/Service/ai_committee/ModelV3/CommitteeGlobalPromptBaseline.php
src/libs/nfephp-org/sped-common/phpstan-baseline.neon
src/libs/nfephp-org/sped-common/phpstan-baseline80.neon
src/libs/nfephp-org/sped-common/phpstan-baseline81.neon
src/libs/nfephp-org/sped-common/phpstan-baseline82.neon
src/libs/nfephp-org/sped-common/src/Soap/SoapBase.php
src/libs/nfephp-org/sped-common/src/Tags/MakeBase.php
src/libs/nfephp-org/sped-esocial/jsonSchemes/v_S_01_00_00/evtBasesFGTS.schema
src/libs/nfephp-org/sped-esocial/jsonSchemes/v_S_01_00_00/evtBasesTrab.schema
src/libs/nfephp-org/sped-esocial/schemes/v_S_01_00_00/evtBasesFGTS.xsd
src/libs/nfephp-org/sped-esocial/schemes/v_S_01_00_00/evtBasesTrab.xsd
src/libs/nfephp-org/sped-esocial/schemes/v_S_01_01_00/evtBasesFGTS.xsd
src/libs/nfephp-org/sped-esocial/schemes/v_S_01_01_00/evtBasesTrab.xsd
src/libs/nfephp-org/sped-esocial/schemes/v_S_01_02_00/evtBasesFGTS.xsd
src/libs/nfephp-org/sped-esocial/schemes/v_S_01_02_00/evtBasesTrab.xsd
src/libs/nfephp-org/sped-esocial/schemes/v_S_01_03_00/evtBasesFGTS.xsd
src/libs/nfephp-org/sped-esocial/schemes/v_S_01_03_00/evtBasesTrab.xsd
src/libs/nfephp-org/sped-esocial/src/Common/Soap/SoapBase.php
src/libs/nfephp-org/sped-esocial/src/Factories/EvtBasesFGTS.php
src/libs/nfephp-org/sped-esocial/src/Factories/EvtBasesTrab.php
templates/ai_committee/base_shell.html.twig
templates/base.html.twig
templates/form-base.html.twig
templates/pps/base_oficial.html.twig
templates/sets_evaluation/new_based_group.html.twig
tests/DataFixtures/CiBaselineFixture.php
tests/Unit/Product/DatabaseChanges/MigrationDatabaseChangeDocGuardTest.php
tests/Unit/Product/DocumentTemplatesSignature/DocusealBaseUrlResolverSideEffectTest.php
tests/Unit/Product/Ssma/SsmaOccurrenceVoiceBaselineTest.php
Request #4 deepseek-v4-flash P:24.63K C:196 CR:22.78K CW:0 1955ms
Reasoning
Vamos verificar o layoutAdmin.html.twig e layoutUser.html.twig para confirmar se o jQuery é incluído (via bloco javascripts parent, ou em algum lugar antes). Também verifico base.html.twig.
Tool Calls (2)
file_find
Show Details
{"query_name": "layoutAdmin.html.twig"}
templates/layoutAdmin.html.twig
code_search
Show Details
{"file_patterns": ["templates/base.html.twig", "templates/layoutAdmin.html.twig", "templates/layoutUser.html.twig"], "search_text": "jquery", "use_perl_regexp": false}
File: templates/base.html.twig
Match lines: 4
46|        <script type="text/javascript" src="{{asset('js/jquery-1.9.1.min.js')}}"></script>
47|        <script type="text/javascript" src="{{asset('js/jquery-migrate-1.1.1.min.js')}}"></script>
48|        <script type="text/javascript" src="{{asset('js/jquery-ui-1.9.2.min.js')}}"></script>
51|        <script type="text/javascript" src="{{asset('js/jquery.cookie.js')}}"></script>

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) {

Request #5 deepseek-v4-flash P:26.16K C:627 CR:24.7K CW:0 5295ms
Reasoning
jQuery é carregado em ambos os layouts (layoutAdmin e layoutUser) no `<head>` ou no início do body, antes dos blocos javascripts de conteúdo (que são renderizados com `{{ parent() }}` e depois scripts próprios). Então o jQuery provavelmente está disponível antes do `adriana-chart-analysis.js`. Preciso confirmar a ordem em que o bloco `javascripts` é renderizado, em relação ao corpo. Em layoutAdmin, jQuery está na linha 121, e o bloco javascripts estará no fim. Então o jQuery já estará carregado. Isso reduz o risco do problema 1. Mas precisamos verificar se o `jQuery` está disponível de forma síncrona. O `adriana-chart-analysis.js` é um IIFE que usa `jQuery` no final `})(jQuery);`. Como o jQuery está carregado primeiro (script tag síncrona antes), ok. Porém, o arquivo usa `(function ($) {...})(jQuery)` — dentro do IIFE, usa `$.ajax`, `$(selector).each`, `$(button).on`. Isso requer jQuery global no carregamento. Confirmado que os layouts carregam jQuery antes. Então problema 1 provavelmente não se materializa. Mas devemos confirmar a posição do bloco javascripts no layout, mas é razoável assumir que está no fim do body. Vamos verificar se existe algum caso em que o PeopleAnalytics module scripts roda antes do jQuery. Na verdade já confirmamos que sim, jQuery é incluído na linha 121 do layoutAdmin (head?) — deixemos isso. Agora, vou verificar os chart IDs no backend. Procurar os chart IDs no código PHP.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["src/Controller/"], "search_text": "chart-custo-produtividade|chart-composicao-custos|chart-evolucao-faltas|chart-correlacao-bem-estar-ausencia|chart-ausencias-motivo|chart-bem-estar-area|chart-custo-ausencias-area|bem_estar_ausencia|visao_geral_custos", "use_perl_regexp": true}
File: src/Controller/Api/PeopleAnalytics/CostAnalysisController.php
Match lines: 2
17| * API do dashboard customizado "Análise de Custos" (visao_geral_custos).
309|        $chart = $this->service->getChartData('chart-composicao-custos', $filters);

File: src/Controller/Api/PeopleAnalytics/CostOverviewController.php
Match lines: 4
57|    #[Route('/kpis', name: 'people_analytics_api_visao_geral_custos_kpis', methods: ['GET'])]
99|     * - chart-composicao-custos: Gráfico 2 - Composição do Custo por Categoria
106|     * - chart-custo-produtividade: Gráfico 9 - Custo × Produtividade (opcional)
125|    #[Route('/grafico/{chartId}', name: 'people_analytics_api_visao_geral_custos_grafico', methods: ['GET'])]

File: src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php
Match lines: 6
230|        $absences = $this->service->getChartData('chart-evolucao-faltas', $filters);
309|        $chart = $this->service->getChartData('chart-ausencias-motivo', $filters);
368|        $costChart = $this->service->getChartData('chart-custo-ausencias-area', $filters);
459|        $absences = $this->service->getChartData('chart-evolucao-faltas', $filters);
555|        $wellbeingArea = $this->service->getChartData('chart-bem-estar-area', $filters);
556|        $costArea = $this->service->getChartData('chart-custo-ausencias-area', $filters);

File: src/Controller/ChartImportController.php
Match lines: 2
32|        'visao_geral_custos',
35|        'bem_estar_ausencia',

File: src/Controller/PeopleAnalyticsApiController.php
Match lines: 2
85|                'visao_geral_custos',
88|                'bem_estar_ausencia',

File: src/Controller/PeopleAnalyticsController.php
Match lines: 13
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'])]
157|            'visao_geral_custos'     => 'people_analytics/cost_analysis_dashboard.html.twig',
158|            'bem_estar_ausencia'     => 'people_analytics/well_being_absence_dashboard.html.twig',
264|                'visao_geral_custos' => $this->costOverviewService?->getKpis($filters) ?? [],
311|                'visao_geral_custos' => $this->costOverviewService?->getChartData($chartId, $filters) ?? [],
415|            'visao_geral_custos' => $this->getCostOverviewBadge($filters),
417|            'bem_estar_ausencia' => $this->getWelfareAbsenceOverviewBadge($filters),
618|                'slug' => 'visao_geral_custos',
619|                'image' => 'visao_geral_custos.png',
624|                'badge' => $overviewBadges['visao_geral_custos'] ?? null,
638|                'slug' => 'bem_estar_ausencia',
639|                'image' => 'bem_estar_ausencia.png',
644|                'badge' => $overviewBadges['bem_estar_ausencia'] ?? null,

code_search
Show Details
{"file_patterns": ["src/Controller/"], "search_text": "ai-analysis|ai_analysis", "use_perl_regexp": true}
File: src/Controller/PeopleAnalyticsApiController.php
Match lines: 3
44|     * POST /people-analytics/api/{module}/chart/{chartId}/ai-analysis
69|     * 📚 Documentação completa: docs/people-analytics/ai_analysis/PROJECOES_IA.md
71|    #[Route('/{module}/chart/{chartId}/ai-analysis', name: 'people_analytics_api_chart_ai_analysis', methods: ['POST'])]

Request #6 deepseek-v4-flash P:27.83K C:95 CR:26.75K CW:0 1634ms
Reasoning
Vamos ler o controller PeopleAnalyticsApiController para entender a rota `ai-analysis`, o formato de resposta, e a validação do módulo/chartId, além de CSRF.
Tool Calls (1)
file_read
Show Details
{"file_path": "src/Controller/PeopleAnalyticsApiController.php"}
File: src/Controller/PeopleAnalyticsApiController.php (Total lines: 162)
IS_TRUNCATED: false
LINE_RANGE: 1-162
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|            $filters = $data['filters'] ?? [];
109|            $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção';
110|
111|            // Normalizar filtros
112|            $filters = $filterNormalizer->normalize($filters);
113|
114|            // Adicionar contexto do usuário (company, permissões)
115|            $company = $this->userContext->getCompany();
116|            if ($company) {
117|                $filters['company_id'] = $company->getId();
118|            }
119|
120|            // Chamar service de análise
121|            $result = $aiAnalysisService->analyze($module, $chartId, $filters, $question);
122|            if (!$result['success']) {
123|                return new JsonResponse($result, 500);
124|            }
125|
126|            return new JsonResponse($result);
127|
128|        } catch (\Exception $e) {
129|            $this->logger->error('[API] Erro na análise de IA', [
130|                'module' => $module,
131|                'chartId' => $chartId,
132|                'error' => $e->getMessage(),
133|                'trace' => $e->getTraceAsString()
134|            ]);
135|
136|            return new JsonResponse([
137|                'success' => false,
138|                'error' => 'Erro ao processar análise: ' . $e->getMessage()
139|            ], 500);
140|        }
141|    }
142|
143|    /**
144|     * Endpoint para verificar status da IA (healthcheck)
145|     * 
146|     * GET /people-analytics/api/ai/health
147|     */
148|    #[Route('/ai/health', name: 'people_analytics_api_ai_health', methods: ['GET'])]
149|    public function aiHealth(): JsonResponse
150|    {
151|        return new JsonResponse([
152|            'success' => true,
153|            'status' => 'operational',
154|            'provider' => 'deepseek',
155|            'model' => 'deepseek-chat',
156|            'timestamp' => (new \DateTime())->format('c')
157|        ]);
158|    }
159|}
160|
161|
162|
Request #7 deepseek-v4-flash P:29.69K C:189 CR:27.9K CW:0 2265ms
Reasoning
A rota de AI analysis: `POST /people-analytics/api/{module}/chart/{chartId}/ai-analysis`, sem CSRF aparente (baseado em header X-Requested-With? provavelmente não). Não há validação de CSRF aqui, mas convém verificar se há algum middleware global de CSRF para esse prefixo de rota. As rotas parecem ser para XHR com JSON. Vamos examinar o ChartAiAnalysisService para entender o que acontece quando o módulo é válido mas o chartId não é reconhecido. O service provavelmente retorna um fallback. Vamos ler o service.
Tool Calls (1)
file_find
Show Details
{"query_name": "ChartAiAnalysisService"}
src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php
Request #8 deepseek-v4-flash P:29.9K C:59 CR:29.82K CW:0 1101ms
Tool Calls (1)
file_read
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{"file_path": "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php"}
File: src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php (Total lines: 610)
IS_TRUNCATED: true
LINE_RANGE: 1-500
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|           
92|            $aiResponse = $this->callDeepSeek($aiPayload, $question);
93|
94|            // 8. Validar resposta
95|            $validated = $this->validateResponse($aiResponse, $aiPayload);
96|
97|            // 9. Retornar resultado completo
98|            return [
99|                'success' => true,
100|                'module' => $module,
101|                'chart_id' => $chartId,
102|                'filters_applied' => $resolved['filters_applied'],
103|                'chart_meta' => $resolved['chart_meta'],
104|                'chart_data' => $resolved['chart_data'],
105|                'ai_payload' => $aiPayload,
106|                'ai_analysis' => $validated,
107|                'ai_provider' => 'deepseek',
108|                'ai_model' => 'deepseek-chat',
109|                'generated_at' => (new \DateTime())->format('c')
110|            ];
111|
112|        } catch (\Exception $e) {
113|            $this->logger->error('[AI Analysis] Erro', [
114|                'module' => $module,
115|                'chartId' => $chartId,
116|                'error' => $e->getMessage()
117|            ]);
118|
119|            return [
120|                'success' => false,
121|                'error' => $e->getMessage(),
122|                'module' => $module,
123|                'chart_id' => $chartId
124|            ];
125|        }
126|    }
127|
128|    /**
129|     * Chama o DeepSeek com o payload preparado
130|     */
131|    private function callDeepSeek(array $payload, string $question): array
132|    {
133|        //Veja que ao acessar a tela retorna dados!! Porem no retorno do deep seek fala que nao tem dado suficiente para analisar.
134|        //dd($aiPayload, $question);
135|        //XHRGET  http://127.0.0.1:8000/people-analytics/api/diversidade/genero-area
136|        //{"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"}}
137|        
138|        // Construir prompt estruturado
139|        $systemPrompt = $this->buildSystemPrompt();
140|        $userPrompt = $this->buildUserPrompt($payload, $question);
141|        // dd($userPrompt,$systemPrompt);
142|        // ChartAiAnalysisService.php on line 141:
143|        // """
144|        // Analise o seguinte gráfico de People Analytics:
145|
146|        // CONTEXTO:
147|
148|
149|        // - Módulo: diversidade_inclusao
150|
151|
152|        // - Gráfico: Gráfico
153|
154|
155|        // - Tipo: unknown
156|
157|
158|        // - Formato: category_series
159|
160|
161|        // - Métrica: Valor 
162|
163|
164|
165|        // FILTROS APLICADOS:
166|
167|
168|        // {
169|
170|
171|        //     "start_date": "2025-12-04",
172|
173|
174|        //     "end_date": "2026-01-04",
175|
176|
177|        //     "company_id": 20
178|
179|
180|        // }
181|
182|
183|
184|        // MÉTRICAS DERIVADAS (use estes números):
185|
186|
187|        // []
188|
189|
190|
191|        // QUALITY FLAGS:
192|
193|
194|        // [
195|
196|
197|        //     "missing_dimensions"
198|
199|
200|        // ]
201|
202|
203|
204|        // PERGUNTA: Explique os principais insights e pontos de atenção deste gráfico
205|
206|
207|
208|        // Retorne apenas o JSON estruturado conforme especificado.
209|        // """
210|
211|        // ChartAiAnalysisService.php on line 141:
212|        // """
213|        // Você é um analista especializado em People Analytics.
214|
215|
216|        // Sua função é analisar dados de gráficos e fornecer insights acionáveis.
217|
218|
219|
220|        // REGRAS CRÍTICAS:
221|
222|
223|        // 1. Retorne APENAS um JSON válido com a estrutura especificada
224|
225|
226|        // 2. NÃO invente números, percentuais, contagens ou tendências
227|
228|
229|        // 3. Use SOMENTE os valores presentes em 'data' e 'derived_metrics'
230|
231|
232|        // 4. Se os dados forem insuficientes, diga isso claramente em 'limitations'
233|
234|
235|        // 5. Não cite nomes de pessoas nem dados pessoais identificáveis
236|
237|
238|        // 6. Seja objetivo, claro e acionável
239|
240|
241|        // 7. Use português brasileiro
242|
243|
244|
245|        // ESTRUTURA DO JSON DE RESPOSTA:
246|
247|
248|        // {
249|
250|
251|        // "title": "Título da análise",
252|
253|
254|        // "summary": "Resumo executivo em 2-3 frases",
255|
256|
257|        // "key_insights": ["insight 1", "insight 2", "insight 3"],
258|
259|
260|        // "attention_points": ["ponto de atenção 1", "ponto 2"],
261|
262|
263|        // "recommended_actions": ["ação 1", "ação 2"],
264|
265|
266|        // "follow_up_questions": ["pergunta 1", "pergunta 2"],
267|
268|
269|        // "limitations": ["limitação 1", "limitação 2"],
270|
271|
272|        // "confidence": "alto|medio|baixo"
273|
274|
275|        // }
276|        // """
277|        // Chamar LLMService com toolName específico para análise de gráficos
278|        try {
279|            $response = $this->llmService->generateResponseWithHistory(
280|                [], // Sem histórico
281|                $systemPrompt . "\n\n" . $userPrompt,
282|                'people_analytics_chart', // Tool name específico
283|                'deepseek-chat'
284|            );
285|
286|            // Tentar parsear JSON
287|            $json = $this->extractJson($response);
288|            // dd($response);
289|            //Veja o retorno final do deep seek.
290|            // Se não conseguiu parsear, retornar estrutura básica, sabendo que tem dados sim!!
291|            // ChartAiAnalysisService.php on line 288:
292|            // """
293|            // ```json
294|
295|
296|            // {
297|
298|
299|            // "title": "Análise de Dados de Diversidade e Inclusão - Dados Insuficientes",
300|
301|
302|            // "summary": "Os dados fornecidos são insuficientes para gerar insights significativos sobre diversidade e inclusão. A ausência de dimensões específicas e métricas derivadas impede uma análise adequada.",
303|
304|
305|            // "key_insights": ["Dados insuficientes para identificar padrões ou tendências", "Ausência de categorias específicas para análise de diversidade", "Não é possível determinar métricas de representatividade ou inclusão"],
306|
307|
308|            // "attention_points": ["Falta de dimensões específicas (categorias demográficas, departamentos, etc.)", "Dados podem não representar adequadamente o estado atual da diversidade na organização"],
309|
310|
311|            // "recommended_actions": ["Coletar dados mais estruturados com categorias específicas de diversidade", "Definir métricas-chave de diversidade e inclusão para monitoramento", "Implementar sistema de coleta de dados com dimensões relevantes"],
312|
313|
314|            // "follow_up_questions": ["Quais dimensões de diversidade (gênero, etnia, idade, etc.) estão disponíveis para análise?", "Quais são as metas de diversidade estabelecidas pela organização?", "Existem dados históricos para comparação de tendências?"],
315|
316|
317|            // "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"],
318|
319|
320|            // "confidence": "baixo"
321|
322|
323|            // }
324|
325|
326|            // ```
327|            // """
328|            if ($json) {
329|                return $json;
330|            } 
331|            
332|            return [
333|                'title' => 'Análise do Gráfico',
334|                'summary' => $response,
335|                'key_insights' => [],
336|                'attention_points' => [],
337|                'recommended_actions' => [],
338|                'follow_up_questions' => [],
339|                'limitations' => ['Análise em formato de texto livre'],
340|                'confidence' => 'medio'
341|            ];
342|
343|        } catch (\Exception $e) {
344|            $this->logger->error('[AI Analysis] Erro ao chamar DeepSeek', [
345|                'error' => $e->getMessage()
346|            ]);
347|
348|            throw new \Exception('Erro ao processar análise de IA: ' . $e->getMessage());
349|        }
350|    }
351|
352|    /**
353|     * Constrói o system prompt
354|     */
355|    private function buildSystemPrompt(): string
356|    {
357|        return "Você é um analista especializado em People Analytics com foco em ANÁLISES PREDITIVAS e PROJEÇÕES FUTURAS.
358|Sua função principal é analisar tendências históricas e prever cenários futuros.
359|
360|🔮 FOCO PRINCIPAL: PROJEÇÕES E ANÁLISES PREDITIVAS
361|
362|DEFINIÇÃO DE PROJEÇÃO:
363|A partir dos dados atuais e históricos, prever uma variação %X de uma variável Y para data futura t.
364|
365|EXEMPLO:
366|\"Com base na taxa de rotatividade histórica de 15% + tendência de +0.8pp/mês + engajamento em queda (-12%), 
367|prevê-se um AUMENTO para 22% nos próximos 6 meses, com MAIOR RISCO no departamento de Tecnologia\"
368|
369|REGRAS CRÍTICAS:
370|1. SEMPRE inclua projeções futuras baseadas nas tendências identificadas
371|2. Retorne APENAS um JSON válido com a estrutura especificada
372|3. NÃO invente números, percentuais, contagens ou tendências
373|4. Use SOMENTE os valores presentes em 'data' e 'derived_metrics'
374|5. Se os dados forem insuficientes para projeção, diga isso claramente
375|6. Não cite nomes de pessoas nem dados pessoais identificáveis
376|7. Seja objetivo, claro e acionável
377|8. Use português brasileiro
378|
379|CRITÉRIOS DE CONFIANÇA:
380|- \"alto\": 
381|  * Time Series: 3+ períodos de dados com tendências claras para projetar
382|  * Category Series: 3+ categorias com múltiplas séries e histórico comparável
383|  * Métricas derivadas completas, sem quality flags críticos
384|  * Dados suficientes para projeções confiáveis (6-12 meses de histórico)
385|- \"medio\": 2-3 períodos, dados parcialmente completos, projeções possíveis mas com ressalvas
386|- \"baixo\": 1 período OU dados muito limitados, projeções especulativas
387|
388|ESTRUTURA DO JSON DE RESPOSTA:
389|{
390|  \"title\": \"Título da análise\",
391|  \"summary\": \"Resumo executivo em 2-3 frases\",
392|  \"key_insights\": [\"insight 1\", \"insight 2\", \"insight 3\"],
393|  \"projections\": [
394|    \"Projeção 1: Com a tendência atual de [X], prevê-se [Y] nos próximos [Z] meses\",
395|    \"Projeção 2: Baseado em [dados], o risco de [evento] aumentará para [%] em [área/departamento]\"
396|  ],
397|  \"attention_points\": [\"ponto de atenção 1\", \"ponto 2\"],
398|  \"recommended_actions\": [\"ação 1\", \"ação 2\"],
399|  \"follow_up_questions\": [\"pergunta 1\", \"pergunta 2\"],
400|  \"limitations\": [\"limitação 1\", \"limitação 2\"],
401|  \"confidence\": \"alto|medio|baixo\"
402|}
403|
404|⚠️ IMPORTANTE: O campo 'projections' é OBRIGATÓRIO. Sempre inclua pelo menos 2-3 projeções baseadas nos dados.";
405|    }
406|
407|    /**
408|     * Constrói o user prompt com o payload
409|     */
410|    private function buildUserPrompt(array $payload, string $question): string
411|    {
412|        // Resumir dados para não sobrecarregar o prompt
413|        $dataDescription = $this->describeData($payload['data'], $payload['canonical_shape']);
414|        
415|        return "Analise o seguinte gráfico de People Analytics:
416|
417|CONTEXTO:
418|- Módulo: {$payload['module']}
419|- Gráfico: {$payload['chart_title']}
420|- Tipo: {$payload['chart_type']}
421|- Formato: {$payload['canonical_shape']}
422|- Métrica: {$payload['metric_name']} {$payload['metric_unit']}
423|
424|FILTROS APLICADOS:
425|" . json_encode($payload['filters_applied'], JSON_PRETTY_PRINT | JSON_UNESCAPED_UNICODE) . "
426|
427|DADOS DO GRÁFICO:
428|{$dataDescription}
429|
430|MÉTRICAS DERIVADAS (use estes números):
431|" . json_encode($payload['derived_metrics'], JSON_PRETTY_PRINT | JSON_UNESCAPED_UNICODE) . "
432|
433|QUALITY FLAGS:
434|" . json_encode($payload['quality_flags'], JSON_PRETTY_PRINT | JSON_UNESCAPED_UNICODE) . "
435|
436|PERGUNTA: {$question}
437|
438|Retorne apenas o JSON estruturado conforme especificado.";
439|    }
440|
441|    /**
442|     * Descreve os dados de forma resumida para o prompt
443|     */
444|    private function describeData(array $data, string $shape): string
445|    {
446|        switch ($shape) {
447|            case 'category_series':
448|                $categories = $data['categories'] ?? [];
449|                $series = $data['series'] ?? [];
450|                
451|                $description = "Categorias: " . implode(', ', array_slice($categories, 0, 10));
452|                if (count($categories) > 10) {
453|                    $description .= " (+" . (count($categories) - 10) . " mais)";
454|                }
455|                
456|                $description .= "\n\nSéries:\n";
457|                foreach ($series as $s) {
458|                    $name = $s['name'] ?? 'Série';
459|                    $values = $s['data'] ?? [];
460|                    
461|                    // Normalizar valores
462|                    $normalizedValues = [];
463|                    foreach ($values as $v) {
464|                        if (is_numeric($v)) {
465|                            $normalizedValues[] = $v;
466|                        } elseif (is_array($v) && isset($v['y'])) {
467|                            $normalizedValues[] = $v['y'];
468|                        }
469|                    }
470|                    
471|                    $description .= "- {$name}: " . implode(', ', array_map(fn($v) => number_format($v, 1), array_slice($normalizedValues, 0, 10)));
472|                    if (count($normalizedValues) > 10) {
473|                        $description .= " (..." . (count($normalizedValues) - 10) . " mais valores)";
474|                    }
475|                    $description .= "\n";
476|                }
477|                
478|                return $description;
479|                
480|            case 'time_series':
481|                $labels = $data['labels'] ?? [];
482|                $datasets = $data['datasets'] ?? [];
483|                
484|                return "Períodos: " . implode(', ', array_slice($labels, 0, 5)) . (count($labels) > 5 ? "... (+" . (count($labels) - 5) . " mais)" : "")
485|                    . "\nTotal de " . count($datasets) . " séries temporais com " . count($labels) . " pontos cada.";
486|                
487|            default:
488|                return json_encode($data, JSON_PRETTY_PRINT | JSON_UNESCAPED_UNICODE);
489|        }
490|    }
491|
492|    /**
493|     * Extrai JSON da resposta (pode vir com texto ao redor)
494|     */
495|    private function extractJson(string $response): ?array
496|    {
497|        // Tentar parsear direto
498|        $json = json_decode($response, true);
499|        if ($json !== null && json_last_error() === JSON_ERROR_NONE) {
500|            return $json;

Note: Results truncated to 500 lines. Please narrow your line range.
Request #9 deepseek-v4-flash P:35.36K C:294 CR:29.95K CW:0 3099ms
Reasoning
A rota `ai-analysis` aceita qualquer `{chartId}` — o resolver de gráfico (`ChartResolver`) provavelmente trata chart IDs desconhecidos com dados vazios ou erro. Mas o endpoint responde com sucesso mesmo se o módulo é válido. Neste caso, chartId desconhecido poderia resultar em dados vazios → a IA reporta "dados insuficientes". Não vai quebrar necessariamente. Vamos verificar o ChartResolver para confirmar que `chart-evolucao-faltas` etc. são suportados. Melhor procurar onde o resolver mapeia os chart IDs por módulo. Também precisamos verificar se as análises vêm com o formato esperado. O helper espera `json.success` e `json.ai_analysis` com title/summary/key_insights/projections/attention_points/recommended_actions/limitations. O serviço retorna exatamente isso. OK. Vamos verificar o ChartResolver para saber se os chart IDs referenciados existem (especialmente para o módulo `bem_estar_ausencia`).
Tool Calls (1)
file_find
Show Details
{"query_name": "ChartResolver"}
src/Service/PeopleAnalytics/Chart/ChartResolver.php
Request #10 deepseek-v4-flash P:35.68K C:57 CR:35.58K CW:0 1161ms
Tool Calls (1)
file_read
Show Details
{"file_path": "src/Service/PeopleAnalytics/Chart/ChartResolver.php"}
File: src/Service/PeopleAnalytics/Chart/ChartResolver.php (Total lines: 164)
IS_TRUNCATED: false
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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|
73|        // 3. Buscar dados do gráfico
74|        try {
75|            $chartData = $service->getChartData($chartId, $normalizedFilters);
76|        } catch (\Exception $e) {
77|            $this->logger->error("Erro ao buscar dados do gráfico", [
78|                'module' => $module,
79|                'chartId' => $chartId,
80|                'error' => $e->getMessage()
81|            ]);
82|            throw new \InvalidArgumentException("Gráfico não encontrado ou erro ao buscar dados: {$chartId}");
83|        }
84|
85|        // 4. Obter metadata do chart (por enquanto, retornar básico)
86|        $chartMeta = $this->getChartMetadata($module, $chartId, $chartData);
87|
88|        return [
89|            'chart_data' => $chartData,
90|            'filters_applied' => $normalizedFilters,
91|            'chart_meta' => $chartMeta
92|        ];
93|    }
94|
95|    /**
96|     * Obtém metadata básico do chart
97|     * TODO: Implementar metadata completo em cada service
98|     */
99|    private function getChartMetadata(string $module, string $chartId, array $chartData): array
100|    {
101|        // Inferir canonical_shape do tipo de chart retornado
102|        $canonicalShape = $this->inferCanonicalShape($chartData);
103|        
104|        return [
105|            'module' => $module,
106|            'chart_id' => $chartId,
107|            'title' => $chartData['title'] ?? 'Gráfico',
108|            'chart_type' => $chartData['type'] ?? 'unknown',
109|            'canonical_shape' => $canonicalShape,
110|            'metric_name' => 'Valor',
111|            'metric_unit' => '',
112|            'privacy_min_group' => 5
113|        ];
114|    }
115|
116|    /**
117|     * Infere o canonical_shape baseado no tipo do chart
118|     */
119|    private function inferCanonicalShape(array $chartData): string
120|    {
121|        $type = $chartData['type'] ?? '';
122|        
123|        return match($type) {
124|            'line' => 'time_series',
125|            'column', 'bar', 'pie', 'donut' => 'category_series',
126|            'heatmap' => 'heatmap',
127|            'boxplot' => 'boxplot',
128|            'scatter' => 'scatter',
129|            'funnel' => 'funnel',
130|            default => $this->inferCanonicalShapeFromStructure($chartData)
131|        };
132|    }
133|
134|    private function inferCanonicalShapeFromStructure(array $chartData): string
135|    {
136|        if ((isset($chartData['yAxis']) || isset($chartData['yCategories'])) && isset($chartData['data'])) {
137|            return 'heatmap';
138|        }
139|
140|        $series = $chartData['series'] ?? $chartData['datasets'] ?? [];
141|        $firstPoint = $series[0]['data'][0] ?? null;
142|        if (is_array($firstPoint) && array_key_exists('x', $firstPoint) && array_key_exists('y', $firstPoint)) {
143|            return 'scatter';
144|        }
145|
146|        $categories = $chartData['categories'] ?? $chartData['labels'] ?? [];
147|        $firstCategory = $categories[0] ?? null;
148|        if (is_string($firstCategory) && preg_match('/^\d{4}-\d{2}(-\d{2})?$|^\d{2}\/\d{2,4}$/', $firstCategory)) {
149|            return 'time_series';
150|        }
151|
152|        return 'category_series';
153|    }
154|
155|    /**
156|     * Valida se um módulo existe
157|     */
158|    public function moduleExists(string $module): bool
159|    {
160|        return isset($this->serviceMap[$module]);
161|    }
162|}
163|
164|
Request #11 deepseek-v4-flash P:37.63K C:305 CR:35.71K CW:0 2553ms
Reasoning
Confirmado: o resolver simplesmente chama `getChartData($chartId, ...)` no service correspondente ao módulo. Precisamos confirmar que os chart IDs usados nos dashboards são suportados pelos services. Já vi no WellBeingAbsenceController o uso de `chart-evolucao-faltas`, `chart-ausencias-motivo`, `chart-custo-ausencias-area`, `chart-bem-estar-area`. Precisamos confirmar `chart-correlacao-bem-estar-ausencia` no WelfareAbsenceService. E para cost analysis: `chart-custo-produtividade` e `chart-composicao-custos` no CostOverviewService. Vamos pesquisar.
Tool Calls (1)
code_search
Show Details
{"file_patterns": ["src/Service/PeopleAnalytics/"], "search_text": "chart-correlacao-bem-estar-ausencia|chart-custo-produtividade|chart-evolucao-faltas|chart-bem-estar-area|chart-ausencias-motivo|chart-custo-ausencias-area|chart-composicao-custos", "use_perl_regexp": true}
File: src/Service/PeopleAnalytics/CostOverviewService.php
Match lines: 4
177|            // O frontend pode enviar IDs como "chart-composicao-custos-container"
178|            // mas o service espera "chart-composicao-custos"
192|                'chart-composicao-custos' => $this->getCostComposition($filters),
199|                'chart-custo-produtividade' => $this->getCostVsProductivity($filters),

File: src/Service/PeopleAnalytics/Metadata/BemEstarAusenciaMetadata.php
Match lines: 15
158|            ['id' => 'chart-evolucao-faltas', 'title' => 'Evolução de Ausências Operacionais', 'chartType' => 'line', 'size' => 'half'],
159|            ['id' => 'chart-ausencias-motivo', 'title' => 'Ausências por Motivo de Licença', 'chartType' => 'column', 'size' => 'half'],
163|            ['id' => 'chart-bem-estar-area', 'title' => 'Bem-estar por Área', 'chartType' => 'bar', 'size' => 'half'],
165|            ['id' => 'chart-correlacao-bem-estar-ausencia', 'title' => 'Correlação Bem-estar × Ausência', 'chartType' => 'scatter', 'size' => 'half'],
167|            ['id' => 'chart-custo-ausencias-area', 'title' => 'Custo Estimado de Ausências por Área', 'chartType' => 'area', 'size' => 'half'],
180|            'chart-evolucao-faltas' => [
185|            'chart-ausencias-motivo' => [
205|            'chart-bem-estar-area' => [
215|            'chart-correlacao-bem-estar-ausencia' => [
225|            'chart-custo-ausencias-area' => [
293|            'chart-evolucao-faltas' => [
305|            'chart-ausencias-motivo' => [
356|            'chart-bem-estar-area' => [
380|            'chart-correlacao-bem-estar-ausencia' => [
403|            'chart-custo-ausencias-area' => [

File: src/Service/PeopleAnalytics/Metadata/VisaoGeralCustosMetadata.php
Match lines: 6
38|            ['id' => 'chart-composicao-custos', 'title' => 'Composição do Custo por Categoria', 'chartType' => 'pie', 'size' => 'half'],
47|            // ['id' => 'chart-custo-produtividade', 'title' => 'Custo versus Produtividade', 'chartType' => 'scatter', 'size' => 'half'],
60|            'chart-composicao-custos' => [
95|            'chart-custo-produtividade' => [
112|            'chart-composicao-custos' => ['periodo', 'categoria-despesa', 'agrupar_outros'],
119|            'chart-custo-produtividade' => ['periodo', 'metrica_produtividade', 'remover_outliers', 'agregacao'],

File: src/Service/PeopleAnalytics/WelfareAbsenceService.php
Match lines: 10
1207|     * - chart-evolucao-faltas: Evolução de Faltas Operacionais (Line)
1208|     * - chart-ausencias-motivo: Ausências por Motivo (Column)
1214|     * - chart-bem-estar-area: Bem-Estar por Área (Bar)
1218|     * - chart-correlacao-bem-estar-ausencia: Bem-Estar vs Ausência (Scatter)
1220|     * - chart-custo-ausencias-area: Custo por Área (Column)
1241|            'chart-evolucao-faltas' => $this->evolucaoFaltas($companyId, $filters),
1242|            'chart-ausencias-motivo' => $this->ausenciasPorMotivo($companyId, $filters),
1246|            'chart-bem-estar-area' => $this->bemEstarArea($companyId, $filters),
1248|            'chart-correlacao-bem-estar-ausencia' => $this->correlacaoBemEstarAusencia($companyId, $filters),
1250|            'chart-custo-ausencias-area' => $this->custoAusenciasArea($companyId, $filters),

Request #12 deepseek-v4-flash P:38.98K C:470 CR:37.89K CW:0 3740ms
Reasoning
Todos os chart IDs usados no frontend são suportados no backend: - `chart-composicao-custos`, `chart-custo-produtividade` (visao_geral_custos / CostOverviewService) - `chart-evolucao-faltas`, `chart-ausencias-motivo`, `chart-bem-estar-area`, `chart-correlacao-bem-estar-ausencia`, `chart-custo-ausencias-area` (bem_estar_ausencia / WelfareAbsenceService) E o módulo `bem_estar_ausencia` está nos validModules. O módulo `visao_geral_custos` também. Agora, o que `firstMeaningfulAnalysisText` espera é `ai_analysis.summary`, `key_insights`, etc. Como confirmado, o backend retorna esses campos. OK. Vamos examinar as respostas reais para perguntas de custo/wellbeing — mas isso depende de IA, então não dá para prever. Mas o fallback no JS trata: se `analysis` for vazio, mostra mensagem de "não encontrou dados suficientes". Vamos agora verificar os seletores dos containers das 3 telas: - `.pa-prod-dash` - `.pa-ca-dash` - `.pa-wb-dash`
Tool Calls (1)
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{"file_patterns": ["templates/people_analytics/cost_analysis_dashboard.html.twig", "templates/people_analytics/produtividade_dashboard.html.twig", "templates/people_analytics/well_being_absence_dashboard.html.twig"], "search_text": "pa-prod-dash|pa-ca-dash|pa-wb-dash|pa-prod-analysis|pa-ar-final-insight|data-wb-final-text|data-ca-final-text", "use_perl_regexp": true}
File: templates/people_analytics/cost_analysis_dashboard.html.twig
Match lines: 12
10|	   pa-ar-dash + pa-ca-dash para herdar tokens e adicionar overrides. #}
23|<div class="zero-padding pa-prod-dash pa-ar-dash pa-ca-dash modern-layout" data-module="{{ module }}">
62|	<div class="pa-prod-dash__content">
186|				<button type="button" class="pa-prod-analysis" data-analysis="ca-trajetoria-folha">
187|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
188|					<span class="pa-prod-analysis__label">Gerar Análise</span>
552|		<div class="pa-ar-final-insight">
553|			<div class="pa-ar-final-insight__title">
557|			<p class="pa-ar-final-insight__text" data-ca-final-text>
560|			<div class="pa-ar-final-insight__questions">
561|				<span class="pa-ar-final-insight__questions-label">Perguntas sugeridas</span>
562|				<div class="pa-ar-final-insight__questions-list">

File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 14
16|<div class="zero-padding pa-prod-dash modern-layout" data-module="{{ module }}">
59|	<div class="pa-prod-dash__content">
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>
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>
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>
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>

File: templates/people_analytics/well_being_absence_dashboard.html.twig
Match lines: 12
9|	   Wrapper triplo `pa-prod-dash pa-ar-dash pa-wb-dash` herda tudo e permite
10|	   overrides escopados em `.pa-wb-dash`. #}
22|<div class="zero-padding pa-prod-dash pa-ar-dash pa-wb-dash modern-layout" data-module="{{ module }}">
64|	<div class="pa-prod-dash__content">
137|				<button type="button" class="pa-prod-analysis" data-analysis="wb-trajetoria-absenteismo">
138|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
352|		<div class="pa-ar-final-insight">
353|			<div class="pa-ar-final-insight__title">
357|			<p class="pa-ar-final-insight__text" data-wb-final-text>
360|			<div class="pa-ar-final-insight__questions">
361|				<span class="pa-ar-final-insight__questions-label">Perguntas sugeridas</span>
362|				<div class="pa-ar-final-insight__questions-list" data-wb-questions>

Request #13 deepseek-v4-flash P:40.37K C:467 CR:39.42K CW:0 3162ms
Reasoning
Os containers existem: - cost: `pa-prod-dash pa-ar-dash pa-ca-dash` na linha 23 — o seletor `.pa-ca-dash .pa-prod-analysis[data-analysis]` corresponde. - produtividade: `pa-prod-dash` na linha 16 — `.pa-prod-dash .pa-prod-analysis[data-analysis]` corresponde. - well-being: `pa-prod-dash pa-ar-dash pa-wb-dash` na linha 22 — `.pa-wb-dash .pa-prod-analysis[data-analysis]` corresponde. E o botão em cost na linha 186 tem `data-analysis="ca-trajetoria-folha"` — corresponde a ANALYSIS_CHART_ID `'ca-trajetoria-folha': 'chart-evolucao-custo-total'`. Produtividade tem `data-analysis="produtividade-tempo"`, etc. Precisamos confirmar que o ANALYSIS_CHART_ID de produtividade cobre esses botões. Vamos verificar o mapa de chartMap em produtividade-dashboard.js.
Tool Calls (2)
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{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "ANALYSIS_CHART_ID|produtividade-tempo|entregas-projeto|entregas-equipe|prod-vs-ausencias", "use_perl_regexp": true}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 89
73|    'entregas-projeto': { page: 0, pageSize: 5, total: 0, payload: null },
74|    'entregas-equipe': { page: 0, pageSize: 5, total: 0, payload: null },
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',
146|      case '/grafico/entregas-equipe':
150|      case '/grafico/prod-vs-ausencias-tempo':
509|    const el = document.getElementById('chart-produtividade-tempo');
521|          destroyChart('chart-produtividade-tempo');
523|          setAnalysisVisible('produtividade-tempo', false);
527|        setAnalysisVisible('produtividade-tempo', true);
610|        registerChart('chart-produtividade-tempo', el, inst);
614|        destroyChart('chart-produtividade-tempo');
616|        setAnalysisVisible('produtividade-tempo', false);
624|    const el = document.getElementById('chart-entregas-projeto');
635|          pagerState['entregas-projeto'].payload = null;
636|          pagerState['entregas-projeto'].total = 0;
637|          pagerState['entregas-projeto'].page = 0;
638|          updatePager('entregas-projeto');
639|          destroyChart('chart-entregas-projeto');
641|          setAnalysisVisible('entregas-projeto', false);
645|        pagerState['entregas-projeto'].payload = { categories, values };
646|        pagerState['entregas-projeto'].total = Math.min(categories.length, values.length);
647|        pagerState['entregas-projeto'].page = 0;
648|        setAnalysisVisible('entregas-projeto', true);
653|        pagerState['entregas-projeto'].payload = null;
654|        pagerState['entregas-projeto'].total = 0;
655|        pagerState['entregas-projeto'].page = 0;
656|        updatePager('entregas-projeto');
657|        destroyChart('chart-entregas-projeto');
659|        setAnalysisVisible('entregas-projeto', false);
664|    const el = document.getElementById('chart-entregas-projeto');
665|    const state = pagerState['entregas-projeto'];
667|    const page = slicePagerPage('entregas-projeto');
672|      destroyChart('chart-entregas-projeto');
674|      updatePager('entregas-projeto');
675|      setAnalysisVisible('entregas-projeto', false);
680|    setAnalysisVisible('entregas-projeto', true);
681|    updatePager('entregas-projeto');
755|    registerChart('chart-entregas-projeto', el, inst);
762|    const el = document.getElementById('chart-entregas-equipe');
766|    return fetchEndpoint('/grafico/entregas-equipe', filters)
768|        console.debug('[Produtividade] entregas-equipe:', data);
778|          pagerState['entregas-equipe'].payload = null;
779|          pagerState['entregas-equipe'].total = 0;
780|          pagerState['entregas-equipe'].page = 0;
781|          updatePager('entregas-equipe');
782|          destroyChart('chart-entregas-equipe');
784|          setAnalysisVisible('entregas-equipe', false);
788|        pagerState['entregas-equipe'].payload = { categories, concluidas, pendentes, atrasadas };
789|        pagerState['entregas-equipe'].total = categories.length;
790|        pagerState['entregas-equipe'].page = 0;
791|        setAnalysisVisible('entregas-equipe', true);
795|        console.error('[Produtividade] entregas-equipe:', err);
796|        pagerState['entregas-equipe'].payload = null;
797|        pagerState['entregas-equipe'].total = 0;
798|        pagerState['entregas-equipe'].page = 0;
799|        updatePager('entregas-equipe');
800|        destroyChart('chart-entregas-equipe');
802|        setAnalysisVisible('entregas-equipe', false);
807|    const el = document.getElementById('chart-entregas-equipe');
808|    const state = pagerState['entregas-equipe'];
810|    const page = slicePagerPage('entregas-equipe');
818|      destroyChart('chart-entregas-equipe');
820|      updatePager('entregas-equipe');
821|      setAnalysisVisible('entregas-equipe', false);
826|    setAnalysisVisible('entregas-equipe', true);
827|    updatePager('entregas-equipe');
885|    registerChart('chart-entregas-equipe', el, inst);
1019|    const el = document.getElementById('chart-prod-vs-ausencias');
1023|    return fetchEndpoint('/grafico/prod-vs-ausencias-tempo', filters)
1025|        console.debug('[Produtividade] prod-vs-ausencias-tempo:', data);
1032|          destroyChart('chart-prod-vs-ausencias');
1034|          setAnalysisVisible('prod-vs-ausencias', false);
1038|        setAnalysisVisible('prod-vs-ausencias', true);
1116|        registerChart('chart-prod-vs-ausencias', el, inst);
1119|        console.error('[Produtividade] prod-vs-ausencias:', err);
1120|        destroyChart('chart-prod-vs-ausencias');
1122|        setAnalysisVisible('prod-vs-ausencias', false);
1187|    if (key === 'entregas-projeto') {
1189|    } else if (key === 'entregas-equipe') {
1201|        chartMap: ANALYSIS_CHART_ID,
1281|    Object.keys(ANALYSIS_CHART_ID).forEach((key) => setAnalysisVisible(key, false));
1283|      'chart-produtividade-tempo',
1284|      'chart-entregas-projeto',
1285|      'chart-entregas-equipe',
1287|      'chart-prod-vs-ausencias',

code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/cost-analysis-dashboard.js"], "search_text": "chart-evolucao-custo-total|data-question|data-analysis", "use_perl_regexp": true}
File: public/js/people-analytics/modules/cost-analysis-dashboard.js
Match lines: 7
69|    'ca-trajetoria-folha': 'chart-evolucao-custo-total',
1270|    const questionKey = button.getAttribute('data-question') || '';
1272|    const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-evolucao-custo-total';
1311|        selector: '.pa-ca-dash .pa-prod-analysis[data-analysis]',
1333|      const mappedKey = el.getAttribute('data-analysis');
1338|        const key = el.getAttribute('data-analysis');
1343|        console.info('[CostAnalysis] análise solicitada:', key || el.getAttribute('data-question'));

Request #14 deepseek-v4-flash P:42.53K C:395 CR:40.83K CW:0 3904ms
Reasoning
Produtividade map tem os quatro botões de data-analysis: 'produtividade-tempo', 'entregas-projeto', 'entregas-equipe', 'prod-vs-ausencias'. Isso cobre todos os botões na tela de produtividade? O template tem data-analysis="produtividade-tempo" (157), "entregas-projeto" (195), "entregas-equipe" (231), "prod-vs-ausencias" (321). Sim. Agora, o vínculo de eventos no custo: a mudança altera o `bindUiActions` — ele agora faz bind do helper para `.pa-ca-dash .pa-prod-analysis[data-analysis]` e depois o loop pelos `.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn`, que pula botões com `data-analysis` mapeados em ANALYSIS_CHART_ID. Mas aguardem: em custo, os botões de pergunta sugerida são `.pa-ar-suggested-question` com `data-question` (não data-analysis). Antes, o handler no custo fazia para qualquer `.pa-prod-analysis` com data-analysis mapeado... vamos olhar o contexto antes/depois para ver a lógica atual do loop em cost. Vamos ler o bindUiActions completo no cost-analysis-dashboard.js.
Tool Calls (1)
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Show Details
{"file_path": "public/js/people-analytics/modules/cost-analysis-dashboard.js", "start_line": 1240, "end_line": 1360}
File: public/js/people-analytics/modules/cost-analysis-dashboard.js (Total lines: 1401)
IS_TRUNCATED: false
LINE_RANGE: 1240-1360
1240|        console.error('[CostAnalysis] /mercado falhou:', err);
1241|        grid.innerHTML = '<div class="pa-ar-table__empty">Erro ao carregar dados de mercado.</div>';
1242|      });
1243|  }
1244|
1245|  // =====================================================================
1246|  // BIND UI ACTIONS / FILTROS
1247|  // =====================================================================
1248|  function escapeHtml(value) {
1249|    const div = document.createElement('div');
1250|    div.textContent = value == null ? '' : String(value);
1251|    return div.innerHTML;
1252|  }
1253|
1254|  function firstMeaningfulAnalysisText(analysis) {
1255|    if (!analysis) return '';
1256|    if (analysis.summary) return analysis.summary;
1257|
1258|    const fields = [analysis.key_insights, analysis.projections, analysis.attention_points, analysis.recommended_actions, analysis.limitations];
1259|    for (let i = 0; i < fields.length; i++) {
1260|      const items = Array.isArray(fields[i]) ? fields[i].filter(Boolean) : [];
1261|      if (items.length > 0) return items[0];
1262|    }
1263|
1264|    return '';
1265|  }
1266|
1267|  function requestFinalQuestionAnalysis(button) {
1268|    if (!button || !window.PeopleAnalytics || !window.PeopleAnalytics.AdrianaChartAnalysis) return;
1269|
1270|    const questionKey = button.getAttribute('data-question') || '';
1271|    const questionLabel = button.textContent.trim() || 'Pergunta sugerida';
1272|    const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-evolucao-custo-total';
1273|    const finalEl = document.querySelector('[data-ca-final-text]');
1274|    const originalHtml = button.innerHTML;
1275|
1276|    button.disabled = true;
1277|    button.classList.add('is-loading');
1278|    button.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Gerando resposta...';
1279|    if (finalEl) finalEl.textContent = 'Gerando resposta com a Adriana...';
1280|
1281|    window.PeopleAnalytics.AdrianaChartAnalysis.request({
1282|      module: AI_MODULE,
1283|      getFilters: function () {
1284|        return currentFilters || {};
1285|      },
1286|      question: questionLabel + ' Responda de forma objetiva, usando apenas os dados de custos disponíveis.',
1287|    }, chartId)
1288|      .then(function (analysis) {
1289|        const text = firstMeaningfulAnalysisText(analysis);
1290|        if (finalEl) {
1291|          finalEl.innerHTML = '<strong>' + escapeHtml(questionLabel) + '</strong><br>' +
1292|            (text ? escapeHtml(text) : 'A Adriana não encontrou dados suficientes para responder essa pergunta no recorte atual.');
1293|        }
1294|      })
1295|      .catch(function (err) {
1296|        console.error('[CostAnalysis] pergunta sugerida falhou:', err);
1297|        if (finalEl) finalEl.textContent = 'Não foi possível gerar resposta para essa pergunta no momento.';
1298|      })
1299|      .finally(function () {
1300|        button.disabled = false;
1301|        button.classList.remove('is-loading');
1302|        button.innerHTML = originalHtml;
1303|      });
1304|  }
1305|
1306|  function bindUiActions() {
1307|    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
1308|      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
1309|        module: AI_MODULE,
1310|        chartMap: ANALYSIS_CHART_ID,
1311|        selector: '.pa-ca-dash .pa-prod-analysis[data-analysis]',
1312|        getFilters: function () {
1313|          return currentFilters || {};
1314|        },
1315|        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Custos.',
1316|      });
1317|    }
1318|
1319|    document.querySelectorAll('[data-export-chart]').forEach(function (btn) {
1320|      btn.addEventListener('click', function () {
1321|        const id = btn.getAttribute('data-export-chart');
1322|        const chart = chartRegistry.get(id);
1323|        if (chart && chart.exportChart) {
1324|          try { chart.exportChart({ type: 'image/png', filename: 'analise-custos-' + id }); }
1325|          catch (e) { console.warn('[CostAnalysis] export falhou', e); }
1326|        } else {
1327|          console.info('[CostAnalysis] export ainda não disponível para', id);
1328|        }
1329|      });
1330|    });
1331|
1332|    document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn').forEach(function (el) {
1333|      const mappedKey = el.getAttribute('data-analysis');
1334|      if (mappedKey && ANALYSIS_CHART_ID[mappedKey]) return;
1335|
1336|      el.addEventListener('click', function (ev) {
1337|        ev.preventDefault();
1338|        const key = el.getAttribute('data-analysis');
1339|        if (el.classList.contains('pa-ar-suggested-question')) {
1340|          requestFinalQuestionAnalysis(el);
1341|          return;
1342|        }
1343|        console.info('[CostAnalysis] análise solicitada:', key || el.getAttribute('data-question'));
1344|      });
1345|    });
1346|  }
1347|
1348|  function bindPeriodSelect() {
1349|    const select = document.getElementById('caPeriodSelect');
1350|    if (!select) return;
1351|    select.addEventListener('change', function () {
1352|      currentFilters.periodo = select.value;
1353|      reloadAll(currentFilters);
1354|    });
1355|  }
1356|
1357|  function bindGlobalFilterListener() {
1358|    document.addEventListener('peopleAnalyticsGlobalFilterUpdate', function (event) {
1359|      const filters = (event && event.detail && event.detail.filters) || {};
1360|      currentFilters = Object.assign({}, currentFilters, filters);
Request #15 deepseek-v4-flash P:44.5K C:1.76K CR:42.88K CW:0 13604ms
Reasoning
Preciso entender melhor o comportamento antes da mudança em custo. Vamos olhar o que mudou de forma precisa via diff. Antes, o loop: ``` document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn').forEach(function (el) { el.addEventListener('click', function (ev) { ev.preventDefault(); const key = el.getAttribute('data-analysis'); if (key && ANALYSIS_CHART_ID[key]) { requestAnalysis(el); return; } console.info('[CostAnalysis] análise solicitada:', key || el.getAttribute('data-question')); }); }); ``` Depois: ``` document.querySelectorAll(...).forEach(function (el) { const mappedKey = el.getAttribute('data-analysis'); if (mappedKey && ANALYSIS_CHART_ID[mappedKey]) return; el.addEventListener('click', function (ev) { ev.preventDefault(); const key = el.getAttribute('data-analysis'); if (el.classList.contains('pa-ar-suggested-question')) { requestFinalQuestionAnalysis(el); return; } console.info('[CostAnalysis] análise solicitada:', key || el.getAttribute('data-question')); }); }); ``` Na mudança, `.pa-prod-analysis` com `data-analysis` mapeado agora é pulado (return), porque o helper `bind` já registra handler neles. Antes, `requestAnalysis(el)` era chamado. OK — comportamento transferido ao helper. Porém, atenção: o helper usa `$(button).on('click', ...)`, enquanto o loop usa `addEventListener`. Ambos disparam. Mas, para o botão mapeado em ANALYSIS_CHART_ID, o loop agora retorna antes de adicionar handler. Bom. No caso do Well-being: vamos ler o arquivo novo para conferir `bindAnalysisActions`. Note que no novo código do well-being, `bindAnalysisActions` faz bind do helper com `.pa-wb-dash .pa-prod-analysis[data-analysis]` e depois faz bind para `.pa-ar-suggested-question` (somente estes). No custo, o loop ainda inclui `.pa-prod-analysis` e `.pa-ar-corr-card__btn`. Interessante questão: No cost dashboard, os botões de perguntas sugeridas são estáticos no template (linhas 563-573) com data-question="overpaying-no-return" etc. No well-being, os botões de perguntas são dinâmicos — gerados por `loadInsights` e `bindAnalysisActions(questionsEl)`. Agora vamos verificar o comportamento do WellBeing. `requestFinalQuestionAnalysis` chama `request` com o módulo bem_estar_ausencia. Vamos olhar o diff do well-being mais de perto (o arquivo novo) para entender os pontos de regressão. Especialmente a parte em que `loadInsights` dispara `bindAnalysisActions(questionsEl)` — mas há também a parte onde perguntas são montadas e é feito bind. Vamos ler o well-being-absence-dashboard.js completo na região relevante para confirmar o que mudou. Vamos também verificar que `bindAnalysisActions` anterior se chamava para `data-analysis` de qualquer card `.pa-prod-analysis` — agora esses são tratados pelo helper `bind` que só faz bind uma vez (data-adriana-analysis-bound). Agora, uma preocupação: no well-being, a função `bindAnalysisActions(scope)` pode ser chamada múltiplas vezes (por exemplo, quando carrega novas perguntas a cada filtro). O helper `bind` tem guard data-adriana-analysis-bound, então ok. Mas há uma possível questão de duplicação de handler: o well-being agora chamada helper `bind` com `selector: '.pa-wb-dash .pa-prod-analysis[data-analysis]'`, e o helper, dentro do loop `$(selector).each`, faz bind quando `button.dataset.adrianaAnalysisBound !== '1'`. Se `bindAnalysisActions` é chamado apenas para novos nós (com data-wbBound), ok. Entretanto, há um possível problema: `bindAnalysisActions(scope)` recebe um `scope` (o questionsEl). O helper bind é chamado com `selector` global dentro do `root`. Mas `window.PeopleAnalytics.AdrianaChartAnalysis.bind` chama `$(selector).each` independente do root/scope. Isso é OK para botões já presentes no DOM. Mas para conteúdo carregado dinamicamente após bind? Por exemplo, os gráficos do produtividade são carregados junto com o DOM? Sim, estão no HTML estático. Agora, o caso mais interessante é: se o conteúdo dinâmico (botões de análise) é adicionado ao DOM depois de `bindUiActions`, o helper `bind` não os vincula. Em bem-estar, o botão `.pa-prod-analysis` de trajetória de absenteísmo (linha 137) parece estar no HTML estático. O botão `wb-trajetoria-absenteismo`. OK. Vamos confirmar que não há botões `.pa-prod-analysis` gerados dinamicamente nos dashboards depois do bind. Em custo: botão estático na linha 186. Em produtividade: linhas 157, 195, 231, 321. Em bem-estar: linha 137. Ok. Porém, devemos verificar a ordem de inicialização: `bindUiActions` roda ao init. O helper precisa existir antes (registrado no topo). Como o script helper é incluído antes do módulo, ok. Vamos focar no possível problema real: **`requestFinalQuestionAnalysis` do well-being e custos referenciam `window.PeopleAnalytics.AdrianaChartAnalysis.request(...)` que resolve com `json.ai_analysis`**. Se o backend retornar um erro (ex.: módulo não existe ou chartId desconhecido), o request rejeita e o catch trata. OK. Outro problema: **No well-being, os botões de pergunta sugerida são criados dinamicamente e não têm guard contra clicks duplicados?** `bindAnalysisActions` usa `data-wbBound`. OK. Agora vejamos a questão do `currentFilters` global — os módulos referenciam `currentFilters`. OK. Um problema potencialmente real: **Custo: os botões de perguntas sugeridas** ficam dentro de `.pa-ar-suggested-question` e são estáticos; porém, o click handler foi movido. Antes do PR, um click num `pa-ar-suggested-question` registrava no console somente (sem ação). Agora dispara `requestFinalQuestionAnalysis`. OK. Agora vamos verificar os botões `.pa-prod-analysis` no custo — o `bind` do helper chama `getOrCreatePanel`, que procura o card `.pa-prod-card` pai. Vamos confirmar que o botão está dentro de um `.pa-prod-card`. Em custo, a estrutura do botão está na linha 186 — provavelmente dentro de `.pa-prod-card`. Vamos ler um trecho do template.
Tool Calls (2)
file_read
Show Details
{"end_line": 230, "file_path": "templates/people_analytics/cost_analysis_dashboard.html.twig", "start_line": 150}
File: templates/people_analytics/cost_analysis_dashboard.html.twig (Total lines: 610)
IS_TRUNCATED: false
LINE_RANGE: 150-230
150|			</div>
151|			<div class="pa-prod-card__body">
152|				<div id="ca-composicao-custo" class="pa-prod-chart pa-ar-bars-host pa-ar-chart--bars">
153|					<div class="pa-ar-score-bars" data-ca-breakdown-bars></div>
154|				</div>
155|			</div>
156|			<div class="pa-prod-card__body pa-ar-card__sub">
157|				<div class="pa-ar-insight" data-ca-breakdown-insight>
158|					<div class="pa-ar-insight__head">
159|						<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-insight__avatar">
160|						<span class="pa-ar-insight__title">Insight da {{ userFirstName }} <i class="fas fa-wand-magic-sparkles pa-ar-spark"></i></span>
161|					</div>
162|					<p class="pa-ar-insight__text" data-ca-breakdown-insight-text>
163|						Carregando insight…
164|					</p>
165|				</div>
166|			</div>
167|		</div>
168|
169|		{# ---------- Trajetória da Folha (linha Highcharts) ---------- #}
170|		<div class="pa-prod-card pa-prod-card--chart">
171|			<div class="pa-prod-card__head">
172|				<div class="pa-prod-card__title">
173|					Trajetória da Folha
174|					<i class="fas fa-info-circle pa-prod-card__title-info"
175|					   data-toggle="tooltip" title="Custo total diário no período analisado."></i>
176|				</div>
177|				<button type="button" class="pa-prod-btn pa-prod-btn--ghost" data-export-chart="ca-trajetoria-folha">
178|					<i class="fas fa-download"></i>
179|					<span>Exportar Gráfico</span>
180|				</button>
181|			</div>
182|			<div class="pa-prod-card__body">
183|				<div id="ca-trajetoria-folha" class="pa-prod-chart pa-ar-chart--flow"></div>
184|			</div>
185|			<div class="pa-prod-card__foot">
186|				<button type="button" class="pa-prod-analysis" data-analysis="ca-trajetoria-folha">
187|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
188|					<span class="pa-prod-analysis__label">Gerar Análise</span>
189|				</button>
190|				<div class="pa-prod-card__legend pa-prod-card__legend--multi">
191|					<span class="pa-prod-legend-item">
192|						<span class="pa-prod-legend-dot pa-ar-legend-dot--teal"></span>
193|						Custo total (R$)
194|					</span>
195|				</div>
196|			</div>
197|		</div>
198|
199|		{# ---------- 3 cards: Tendência / Evento crítico / Posição atual ---------- #}
200|		<div class="pa-prod-grid pa-prod-grid--cols-3 pa-ar-diag-grid">
201|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-ca-diag="trend">
202|				<div class="pa-prod-card__body">
203|					<h3 class="pa-ar-diag-card__title">Tendência do período</h3>
204|					<p class="pa-ar-diag-card__text" data-ca-diag-text>Carregando…</p>
205|				</div>
206|			</div>
207|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-ca-diag="event">
208|				<div class="pa-prod-card__body">
209|					<h3 class="pa-ar-diag-card__title">Evento crítico identificado</h3>
210|					<p class="pa-ar-diag-card__text" data-ca-diag-text>Carregando…</p>
211|				</div>
212|			</div>
213|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-ca-diag="position">
214|				<div class="pa-prod-card__body">
215|					<h3 class="pa-ar-diag-card__title">Posição atual</h3>
216|					<p class="pa-ar-diag-card__text" data-ca-diag-text>Carregando…</p>
217|				</div>
218|			</div>
219|		</div>
220|
221|		{# ============================================================
222|		   SEÇÃO: Custos por Área
223|		   ============================================================ #}
224|		<div class="pa-prod-section">
225|			<h2 class="pa-prod-section__title">Custos por Área</h2>
226|			<p class="pa-prod-section__desc">
227|				Concentração de custo e aderência orçamentária por departamento.
228|			</p>
229|		</div>
230|
file_read
Show Details
{"end_line": 160, "file_path": "templates/people_analytics/well_being_absence_dashboard.html.twig", "start_line": 110}
File: templates/people_analytics/well_being_absence_dashboard.html.twig (Total lines: 399)
IS_TRUNCATED: false
LINE_RANGE: 110-160
110|
111|			<div class="pa-prod-kpi pa-prod-kpi--executive pa-ar-exec-card pa-wb-exec-card" data-wb-exec-card>
112|				<div class="pa-prod-kpi__title pa-prod-kpi__title--executive">
113|					Leitura executiva
114|					<i class="fas fa-wand-magic-sparkles pa-ar-spark"></i>
115|				</div>
116|				<p class="pa-prod-kpi__description pa-ar-exec-text" data-wb-exec-text>
117|					Carregando análise…
118|				</p>
119|			</div>
120|		</div>
121|
122|		{# ============================================================
123|		   SEÇÃO: Trajetória do Absenteísmo
124|		   ============================================================ #}
125|		<div class="pa-prod-section">
126|			<h2 class="pa-prod-section__title">Trajetória do Absenteísmo</h2>
127|			<p class="pa-prod-section__desc">
128|				Evolução da taxa de absenteísmo no período, decomposta por tipo de ausência.
129|			</p>
130|		</div>
131|
132|		<div class="pa-prod-card pa-prod-card--chart">
133|			<div class="pa-prod-card__body pa-wb-trajectory-body">
134|				<div id="wb-trajetoria-absenteismo" class="pa-prod-chart pa-wb-chart--trajectory"></div>
135|			</div>
136|			<div class="pa-prod-card__foot">
137|				<button type="button" class="pa-prod-analysis" data-analysis="wb-trajetoria-absenteismo">
138|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
139|					<span>Gerar Análise</span>
140|				</button>
141|				<div class="pa-prod-card__legend pa-prod-card__legend--multi pa-wb-legend">
142|					<span class="pa-prod-legend-item">
143|						<span class="pa-prod-legend-dot pa-wb-dot--orange"></span>Médica curta
144|					</span>
145|					<span class="pa-prod-legend-item">
146|						<span class="pa-prod-legend-dot pa-wb-dot--red"></span>Médica longa
147|					</span>
148|					<span class="pa-prod-legend-item">
149|						<span class="pa-prod-legend-dot pa-wb-dot--gray"></span>Justificada
150|					</span>
151|					<span class="pa-prod-legend-item">
152|						<span class="pa-prod-legend-dot pa-wb-dot--blue"></span>Não justificada
153|					</span>
154|					<span class="pa-prod-legend-item">
155|						<span class="pa-prod-legend-dot pa-wb-dot--teal"></span>Total
156|					</span>
157|				</div>
158|			</div>
159|		</div>
160|
Request #16 deepseek-v4-flash P:48.39K C:692 CR:46.21K CW:0 5731ms
Reasoning
Os botões estão dentro de `.pa-prod-card` (no custo, o botão está dentro do `pa-prod-card pa-prod-card--chart`). O `getOrCreatePanel` faz `button.closest('.pa-prod-card')` — funciona. Agora, um ponto importante do helper: `setButtonLoading`. O helper tenta `window.setButtonLoading(button, isLoading, loadingText)`, mas se não existir cai no fallback com `button.dataset.originalAnalysisLabel`. Note a label no well-being do botão é um `<span>` sem classe `.pa-prod-analysis__label` (linha 139 no well-being: `<span>Gerar Análise</span>`), enquanto o helper procura `button.querySelector('.pa-prod-analysis__label') || button.querySelector('span')`. Então captura o span. OK. Agora, outro problema no helper: quando o panel não existe (button fora de .pa-prod-card), retorna null, e `renderAnalysis(panel, ...)` faz `if (!panel) return;`. OK. Vamos considerar os pontos mais importantes da revisão: 1. Duplicação de código do helper: os utilitários `firstMeaningfulAnalysisText` e `escapeHtml` duplicados em cost e well-being. É um achado de duplicação, já que o helper existe justamente para centralizar. Podemos reportar como baixa/média. 2. `requestAnalysis` no helper: usa `$.ajax` com contentType json e envia via POST sem CSRF. Vamos verificar se existem outras chamadas AJAX que mutam dados e enviam CSRF nessa área; e se a rota valida CSRF. A rota chartAiAnalysis não faz checagem de CSRF; outros controllers da área podem exigir via firewall. Vamos verificar se o firewall/security aplica CSRF nessas rotas. Também verificar se outros POSTs dos módulos (fetchEndpoint) enviam CSRF token. Vamos olhar o fetchEndpoint do cost e do well-being para ver como outras chamadas AJAX são feitas (ex.: payload JSON via fetch com X-Requested-With sem CSRF).
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/well-being-absence-dashboard.js"], "search_text": "csrf|fetch\\(|X-Requested-With|credentials|headers", "use_perl_regexp": true}
File: public/js/people-analytics/modules/well-being-absence-dashboard.js
Match lines: 16
281|    return fetch(url, {
283|      credentials: 'same-origin',
284|      headers: { 'Accept': 'application/json', 'X-Requested-With': 'XMLHttpRequest' },
329|  function forceOrFetch(forceFlag, mockPayload, endpoint, filters, kind) {
481|    return forceOrFetch(FORCE_MOCK.kpis, MOCK.kpis, '/kpis', filters, 'kpis')
496|    return forceOrFetch(FORCE_MOCK.insights, MOCK.insights, '/insights', filters, 'cards')
514|    return forceOrFetch(FORCE_MOCK.trajetoriaAbsenteismo, MOCK.trajetoriaAbsenteismo, '/trajetoria-absenteismo', filters, 'series')
615|    return forceOrFetch(FORCE_MOCK.cardsDiagnostico, MOCK.cardsDiagnostico, '/cards-diagnostico', filters, 'diagnostic')
651|    return forceOrFetch(FORCE_MOCK.composicaoTipo, MOCK.composicaoTipo, '/composicao-tipo', filters, 'rows')
661|    return forceOrFetch(FORCE_MOCK.composicaoCausa, MOCK.composicaoCausa, '/composicao-causa', filters, 'rows')
677|    return forceOrFetch(FORCE_MOCK.sinaisBurnout, MOCK.sinaisBurnout, '/sinais-burnout', filters, 'signals')
704|    return forceOrFetch(FORCE_MOCK.colaboradoresRisco, MOCK.colaboradoresRisco, '/colaboradores-risco', filters, 'rows')
740|    return forceOrFetch(FORCE_MOCK.componentesCusto, MOCK.componentesCusto, '/componentes-custo', filters, 'rows')
766|    return forceOrFetch(FORCE_MOCK.custoTotais, MOCK.custoTotais, '/custo-totais', filters, 'totals')
862|    return forceOrFetch(FORCE_MOCK.insights, MOCK.insights, '/insights', filters, 'cards')
893|    return forceOrFetch(FORCE_MOCK.areasCriticas, MOCK.areasCriticas, '/areas-criticas', filters, 'areas')

code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/cost-analysis-dashboard.js"], "search_text": "csrf|fetch\\(|X-Requested-With|credentials|headers", "use_perl_regexp": true}
File: public/js/people-analytics/modules/cost-analysis-dashboard.js
Match lines: 19
435|    return fetch(url, {
437|      credentials: 'same-origin',
438|      headers: { 'Accept': 'application/json', 'X-Requested-With': 'XMLHttpRequest' },
489|  function forceOrFetch(forceFlag, mockPayload, endpoint, filters, kind) {
669|    return forceOrFetch(FORCE_MOCK.kpis, MOCK.kpis, '/kpis', filters, 'kpis')
688|    return forceOrFetch(FORCE_MOCK.insights, MOCK.insights, '/insights', filters, 'cards')
705|    return forceOrFetch(FORCE_MOCK.insights, MOCK.insights, '/insights', filters, 'cards')
749|    return forceOrFetch(FORCE_MOCK.composicaoCusto, MOCK.composicaoCusto, '/composicao-custo', filters, 'rows')
774|    return forceOrFetch(FORCE_MOCK.trajetoriaFolha, MOCK.trajetoriaFolha, '/trajetoria-folha', filters, 'series')
868|    return forceOrFetch(FORCE_MOCK.cardsDiagnostico, MOCK.cardsDiagnostico, '/cards-diagnostico', filters, 'diagnostic')
918|    return forceOrFetch(FORCE_MOCK.mapaCustos, MOCK.mapaCustos, '/mapa-custos', filters, 'areas')
966|    return forceOrFetch(FORCE_MOCK.concentracaoCusto, MOCK.concentracaoCusto, '/concentracao-custo', filters, 'rows')
988|    return forceOrFetch(FORCE_MOCK.topEquipes, MOCK.topEquipes, '/top-equipes', filters, 'rows')
1018|    return forceOrFetch(FORCE_MOCK.variacaoInterna, MOCK.variacaoInterna, '/variacao-interna', filters, 'rows')
1055|    return forceOrFetch(FORCE_MOCK.distribuicaoCompaRatio, MOCK.distribuicaoCompaRatio, '/distribuicao-compa-ratio', filters, 'rows')
1077|    return forceOrFetch(FORCE_MOCK.cargosCriticos, MOCK.cargosCriticos, '/cargos-criticos', filters, 'roles')
1115|    return forceOrFetch(FORCE_MOCK.jornadaInvestimento, MOCK.jornadaInvestimento, '/jornada-investimento', filters, 'rows')
1189|    return forceOrFetch(FORCE_MOCK.correlacoes, MOCK.correlacoes, '/correlacoes', filters, 'cards')
1220|    return forceOrFetch(FORCE_MOCK.mercado, MOCK.mercado, '/mercado', filters, 'cards')

Request #17 deepseek-v4-flash P:50.28K C:399 CR:49.02K CW:0 4014ms
Reasoning
As chamadas AJAX existentes nos módulos (fetchEndpoint) não incluem CSRF token, só header X-Requested-With. Parece que a área de People Analytics API não usa CSRF por ser uma API "interna" (JSON, com header X-Requested-With). Precisamos confirmar se a rota está atrás de um firewall de CSRF. Vamos verificar a config de segurança (security.yaml). Mas isso pode ser demasiado. A regra da revisão diz que AJAX que muta dados deve enviar token CSRF. Porém o padrão já usado na mesma página é sem CSRF (fetch GET/POST com X-Requested-With). O endpoint AI-analysis é POST mas não é exatamente uma mutação de negócio; é leitura + geração. Vamos considerar CSRF: as chamadas AJAX para APIs JSON usadas nesses dashboards normalmente são protegidas pelo Symfony quando a sessão com cookies é usada e CSRF habilitado? Não necessariamente; rotas da API interna muitas vezes ficam fora de CSRF. Precisamos examinar security.yaml para ver se csrf_protection está ativo para essas rotas. Vamos procurar config de segurança do Symfony.
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{"search_text": "people-analytics/api|stateless|csrf", "file_patterns": ["config/*.yaml"], "use_perl_regexp": true}
File: config/packages/csrf.yaml
Match lines: 1
2|    csrf_protection: true

File: config/services.yaml
Match lines: 1
999|  App\EventListener\CsrfListener:

file_find
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{"query_name": "security.yaml"}
config/packages/dev/security.yaml
config/packages/security.yaml
Request #18 deepseek-v4-flash P:50.77K C:105 CR:50.56K CW:0 1389ms
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{"file_patterns": ["src/EventListener/CsrfListener.php"], "search_text": "."}
File: src/EventListener/CsrfListener.php
Match lines: 6
27|        // Comité IA — APIs JSON/XHR sob /api/comite-ia (sem token CSRF de formulário Symfony).
36|        // MetaHuman — reconhecimento pós-laudo (sessão + JSON; sem formulário Symfony).
41|        // MetaHuman — auditoria wizard T1–T5 na ficha (JSON; sem formulário Symfony).
46|        // MetaHuman — estado servidor wizard T1–T5 (JSON).
51|        // Interpretative operational council — simulate / cases (JSON; async dispatch).
61|        // E2E — apenas APP_ENV=test (controller também valida).

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{"query_name": "CsrfListener"}
src/EventListener/CsrfListener.php
Request #19 deepseek-v4-flash P:51.06K C:52 CR:50.82K CW:0 1811ms
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{"file_path": "src/EventListener/CsrfListener.php"}
File: src/EventListener/CsrfListener.php (Total lines: 70)
IS_TRUNCATED: false
LINE_RANGE: 1-70
1|<?php
2|
3|namespace App\EventListener;
4|
5|use Symfony\Component\EventDispatcher\EventSubscriberInterface;
6|use Symfony\Component\HttpKernel\Event\RequestEvent;
7|use Symfony\Component\HttpKernel\KernelEvents;
8|
9|class CsrfListener implements EventSubscriberInterface
10|{
11|    public static function getSubscribedEvents(): array
12|    {
13|        return [
14|            KernelEvents::REQUEST => ['onKernelRequest', 1000],
15|        ];
16|    }
17|
18|    public function onKernelRequest(RequestEvent $event): void
19|    {
20|        $request = $event->getRequest();
21|        
22|        // Desabilitar CSRF para rotas da API timesheet-v2
23|        if (str_starts_with($request->getPathInfo(), '/api/timesheet-v2')) {
24|            $request->attributes->set('_csrf_token_id', null);
25|        }
26|
27|        // Comité IA — APIs JSON/XHR sob /api/comite-ia (sem token CSRF de formulário Symfony).
28|        $pathInfo = $request->getPathInfo();
29|        if (str_starts_with($pathInfo, '/api/comite-ia')) {
30|            $method = strtoupper($request->getMethod());
31|            if (!in_array($method, ['GET', 'HEAD', 'OPTIONS'], true)) {
32|                $request->attributes->set('_csrf_token_id', null);
33|            }
34|        }
35|
36|        // MetaHuman — reconhecimento pós-laudo (sessão + JSON; sem formulário Symfony).
37|        if ($request->getMethod() === 'POST'
38|            && preg_match('#^/api/my-company/member/\\d+/dossier-laudo-pdf/\\d+/acknowledge$#', $request->getPathInfo()) === 1) {
39|            $request->attributes->set('_csrf_token_id', null);
40|        }
41|        // MetaHuman — auditoria wizard T1–T5 na ficha (JSON; sem formulário Symfony).
42|        if ($request->getMethod() === 'POST'
43|            && preg_match('#^/api/my-company/member/\\d+/metahuman-sheet-wizard-tx$#', $request->getPathInfo()) === 1) {
44|            $request->attributes->set('_csrf_token_id', null);
45|        }
46|        // MetaHuman — estado servidor wizard T1–T5 (JSON).
47|        if ($request->getMethod() === 'POST'
48|            && preg_match('#^/api/my-company/member/\\d+/metahuman-sheet-wizard-state$#', $request->getPathInfo()) === 1) {
49|            $request->attributes->set('_csrf_token_id', null);
50|        }
51|        // Interpretative operational council — simulate / cases (JSON; async dispatch).
52|        if ($request->getMethod() === 'POST') {
53|            $p = $request->getPathInfo();
54|            if ($p === '/api/interpretative/operational/v1/simulate'
55|                || $p === '/api/interpretative/operational/v1/cases'
56|                || $p === '/api/interpretative/operational/v1/cases/from-hcm-event'
57|                || $p === '/api/interpretative/operational/v1/preview-context') {
58|                $request->attributes->set('_csrf_token_id', null);
59|            }
60|        }
61|        // E2E — apenas APP_ENV=test (controller também valida).
62|        if ($request->getMethod() === 'POST') {
63|            $path = $request->getPathInfo();
64|            if (str_starts_with($path, '/test/')) {
65|                $request->attributes->set('_csrf_token_id', null);
66|            }
67|        }
68|    }
69|}
70|
Request #20 deepseek-v4-flash P:52.08K C:850 CR:51.07K CW:0 7460ms
Reasoning
As rotas /people-analytics/api não estão na lista de exceção do CsrfListener. Precisamos ver se o Symfony CSRF protection (form_login etc.) se aplica a essas rotas. Na verdade, o Symfony csrf_protection com `csrf_token_id` somente se aplica se houver um `CsrfProtectionListener`... O csrf_protection: true habilita `CsrfProtectionListener`, mas ela normalmente desabilita para GET/HEAD/OPTIONS/TRACE, e exige token para POST se `_csrf_token_id` estiver definido no atributo da rota (via `#[CsrfProtection]`)? Na verdade no Symfony 5.4+ com o `csrf_protection: true`, o firewall faz a checagem CSRF em todas as requisições de escrita quando o atributo `_csrf_token_id` está presente (setado por `#[CsrfProtection]` ou por `isCsrfTokenValid`). Hmm. O padrão Symfony 6: `csrf_protection: true` no security.yaml causa a checagem automática para rotas que têm `#[CsrfProtection]` attribute. Sem o attribute, não é checado. Dado que a área de People Analytics usa GET/POST sem tokens CSRF em todas as chamadas atuais (fetch com X-Requested-With), esse padrão já é o padrão existente — novas chamadas seguem o mesmo padrão. Não vou marcar como bloqueante a ausência de CSRF, pois não é uma mudança nova de contrato: os endpoints antigos de AI já eram POST sem CSRF (o código removido no produtividade usava fetch POST sem CSRF para o mesmo endpoint `ai-analysis`). Portanto, não é uma regressão introduzida por esta PR. Porém, a regra do usuário diz "Chamada AJAX que muta dado deve enviar token CSRF...". Contudo, o endpoint de ai-analysis não é uma mutação de dados; é apenas leitura/geração. Além disso, a base de código já fazia POST sem CSRF para o mesmo endpoint antes da PR. Não vou reportar como problema real (ou reportar como baixa, se houver pergunta sobre tratar erros 400/403 de forma distinta?). Na verdade os novos códigos rejeitam de forma correta e mostram mensagem. Não há tratamento distinto de 400 vs 403, mas isso não é crítico aqui. Vamos agora examinar o backend WellBeingAbsenceController mais detalhadamente: a mudança na resposta `insights` (que já existia) adiciona `rawValue`, `hasMeaningfulData`, e a condição da pergunta `cost-reduction`. Um problema: `suggestedQuestions` mudou a condição de `($cost['total']['value'] ?? '') !== ''` para `(float)($cost['total']['rawValue'] ?? 0) > 0`. Precisamos confirmar que `$cost['total']['rawValue']` está sempre presente quando `suggestedQuestions` é chamado. Vejamos o contexto: `$cost` vem de qual método? Vamos ler as funções do controller que montam insights e suggestedQuestions. Precisamos ver como `$cost` é obtido. Vamos ler o controller WellBeingAbsenceController nas regiões relevantes (linhas ~380-460 e ~850-900).
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{"end_line": 470, "file_path": "src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php", "start_line": 340}
File: src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php (Total lines: 887)
IS_TRUNCATED: false
LINE_RANGE: 340-470
340|            ],
341|        ];
342|    }
343|
344|    private function adaptAtRisk(array $filters): array
345|    {
346|        $risk = $this->riskDistribution($filters);
347|        $total = max(1, array_sum($risk));
348|        $rows = [
349|            ['label' => 'Risco Alto', 'count' => $risk['high'], 'color' => 'red'],
350|            ['label' => 'Risco Médio', 'count' => $risk['medium'], 'color' => 'orange'],
351|            ['label' => 'Risco Baixo', 'count' => $risk['low'], 'color' => 'teal'],
352|            ['label' => 'Sem sinais detectados', 'count' => $risk['none'], 'color' => 'teal-dark'],
353|        ];
354|
355|        foreach ($rows as &$row) {
356|            $row['percent'] = round(($row['count'] / $total) * 100, 1);
357|            $row['caption'] = $row['count'] . ' colaboradores.';
358|        }
359|
360|        return [
361|            'rows' => $rows,
362|            'insightHtml' => sprintf('<strong>%d colaboradores em risco alto</strong> combinam recorrência de ausência e sinais de bem-estar abaixo do limite. Priorize conversas 1:1, revisão de carga e férias/pausas planejadas para reduzir risco de afastamento longo.', $risk['high']),
363|        ];
364|    }
365|
366|    private function adaptCostComponents(array $filters): array
367|    {
368|        $costChart = $this->service->getChartData('chart-custo-ausencias-area', $filters);
369|        $cost = array_sum(array_map('floatval', $costChart['series'][0]['data'] ?? []));
370|        $absence = $this->absenceTotals($filters);
371|
372|        if ($cost <= 0) {
373|            $avgDaily = $this->averageDailyPayroll($filters);
374|            $cost = $absence['licenseDays'] * $avgDaily + $absence['operationalDays'] * $avgDaily;
375|        }
376|
377|        $components = [
378|            ['label' => 'Produtividade perdida', 'desc' => 'Dias-ausência × salário médio diário', 'value' => $cost * 0.55],
379|            ['label' => 'Substituição operacional', 'desc' => 'Cobertura temporária, hora extra e redistribuição', 'value' => $cost * 0.25],
380|            ['label' => 'Encargos/INSS estimados', 'desc' => 'Impacto financeiro em licenças formais', 'value' => $cost * 0.12],
381|            ['label' => 'Risco de turnover atribuível', 'desc' => 'Estimativa derivada da recorrência de ausência', 'value' => $cost * 0.08],
382|        ];
383|
384|        $total = max(1.0, array_sum(array_column($components, 'value')));
385|        foreach ($components as &$component) {
386|            $component['value'] = round((float) $component['value'], 0);
387|            $component['percent'] = round(($component['value'] / $total) * 100, 1);
388|        }
389|
390|        return ['rows' => $components];
391|    }
392|
393|    private function adaptCostTotals(array $filters): array
394|    {
395|        $components = $this->adaptCostComponents($filters)['rows'];
396|        $total = array_sum(array_column($components, 'value'));
397|        $payroll = max(1.0, $this->periodPayroll($filters));
398|        usort($components, fn ($a, $b) => $b['value'] <=> $a['value']);
399|        $main = $components[0] ?? ['label' => '—', 'percent' => 0];
400|
401|        return [
402|            'total' => ['value' => $this->formatMoneyFull($total), 'caption' => 'impacto total no período', 'rawValue' => $total],
403|            'payrollShare' => ['value' => $this->fmtPercent(($total / $payroll) * 100), 'caption' => 'da folha no período'],
404|            'mainComponent' => ['value' => (string) $main['label'], 'caption' => $this->fmtPercent((float) $main['percent']) . ' do total'],
405|        ];
406|    }
407|
408|    private function adaptCriticalAreas(array $filters): array
409|    {
410|        return ['areas' => $this->criticalAreaRows($filters)];
411|    }
412|
413|    private function adaptInsights(array $filters): array
414|    {
415|        $kpis = $this->adaptKpis($filters);
416|        $kpiMap = [];
417|        foreach ($kpis as $kpi) {
418|            $kpiMap[$kpi['key']] = $kpi['value'];
419|        }
420|        $risk = $this->riskDistribution($filters);
421|        $cost = $this->adaptCostTotals($filters);
422|        $mainCause = $this->adaptBreakdownByCause($filters)['rows'][0] ?? null;
423|        $criticalAreas = array_values(array_filter(
424|            $this->criticalAreaRows($filters),
425|            static fn (array $area): bool => ($area['severity'] ?? '') !== 'low'
426|        ));
427|        $costTotal = (float) ($cost['total']['rawValue'] ?? 0);
428|        $hasMeaningfulData = $costTotal > 0
429|            || $mainCause !== null
430|            || count($criticalAreas) > 0
431|            || ($risk['high'] + $risk['medium']) > 0;
432|
433|        return [
434|            'executive' => sprintf(
435|                'Absenteísmo em <strong>%s</strong>, com <strong>%s dias-ausência</strong> e custo estimado de <strong>%s</strong>. %s colaboradores aparecem em risco alto/médio no período.',
436|                $kpiMap['absence-rate'] ?? '—',
437|                $kpiMap['absence-days'] ?? '—',
438|                $cost['total']['value'] ?? '—',
439|                $risk['high'] + $risk['medium']
440|            ),
441|            'at_risk_insight' => sprintf('<strong>%d colaboradores em risco alto</strong> devem ser priorizados por recorrência de ausência e sinais de bem-estar. O grupo médio (%d pessoas) deve entrar em monitoramento preventivo.', $risk['high'], $risk['medium']),
442|            'cost_attention' => sprintf('Maior componente é <strong>%s</strong>, representando %s. A redução de reincidência em áreas críticas tende a ter maior retorno financeiro.', $cost['mainComponent']['value'] ?? '—', $cost['mainComponent']['caption'] ?? '—'),
443|            'final' => !$hasMeaningfulData
444|                ? 'Ainda não há dados suficientes neste recorte para gerar uma leitura conclusiva de bem-estar, ausência e custo. Amplie o período ou ajuste os filtros para obter uma análise mais confiável.'
445|                : sprintf(
446|                    'A leitura integrada mostra %s área(s) em atenção%s. O custo total estimado é %s e a principal causa registrada é %s. Priorize as áreas com maior combinação de ausência, baixo bem-estar e custo.',
447|                    count($criticalAreas),
448|                    count($criticalAreas) > 0 ? ' (destaque: ' . $criticalAreas[0]['title'] . ')' : '',
449|                    $cost['total']['value'] ?? '—',
450|                    $mainCause['label'] ?? 'não identificada'
451|                ),
452|            'questions' => $this->suggestedQuestions($risk, $criticalAreas, $mainCause, $cost),
453|        ];
454|    }
455|
456|    private function absenceTotals(array $filters): array
457|    {
458|        $licenses = $this->service->getChartData('chart-evolucao-licencas', $filters);
459|        $absences = $this->service->getChartData('chart-evolucao-faltas', $filters);
460|        $licenseDays = array_sum(array_map('floatval', $licenses['series'][0]['data'] ?? []));
461|        $operationalDays = array_sum(array_map('floatval', $absences['series'][0]['data'] ?? []));
462|
463|        return [
464|            'licenseDays' => $licenseDays,
465|            'operationalDays' => $operationalDays,
466|            'totalDays' => $licenseDays + $operationalDays,
467|            'headcount' => $this->activeHeadcount($filters),
468|        ];
469|    }
470|
Request #21 deepseek-v4-flash P:55.14K C:789 CR:52.86K CW:0 6426ms
Reasoning
Nota: `adaptCostTotals` chama `adaptCostComponents`, que calcula `$total = max(1.0, ...)`, ou seja, mesmo sem dados o total é pelo menos 1.0! Isso significa que `rawValue` será sempre >= 1.0 (nunca zero). Espere: `adaptCostComponents` soma `$components` valores: se cost <= 0, calcula custo estimado baseado em ausências. Se não há ausências nem folha, `$cost = 0`, e `$components` seriam todos zero. `$total = max(1.0, array_sum(...))` = 1.0. Então `$components` valores são round(0)=0, percent = round((0/1.0)*100) = 0. Então `adaptCostTotals` soma array_column($components, 'value') = 0, então `$total = 0`. Então `rawValue = 0`. OK, então `$hasMeaningfulData` = false se todos zero. Espera: em `adaptCostTotals`, `$components = $this->adaptCostComponents($filters)['rows']`, e `$total = array_sum(array_column($components, 'value'))`. Os componentes têm value já arredondado (round(0,0)=0). `max(1.0, ...)` era aplicado somente para cálculo de percentagens em `adaptCostComponents`. Então total = 0 quando não há dados. rawValue=0. OK. Agora, importante: o código em `adaptInsights` continua a sempre exibir `executive`, `at_risk_insight`, e `cost_attention` independentemente de `hasMeaningfulData`. Apenas o 'final' mudou. A mensagem de exec pode ainda mostrar "Absenteísmo em —, com — dias..." — mas isso não é a alteração em questão. Embora a PR descrita foque em "evitar insights enganosos quando não há dados suficientes", esses outros campos podem permanecer com mensagens potencialmente enganosas, mas eles não mudaram nesta PR. A mudança apenas afeta 'final'. Deixemos. Vamos agora verificar `suggestedQuestions` para conferir se `$cost` tem `rawValue`. Já vimos o diff: `if ((float) ($cost['total']['rawValue'] ?? 0) > 0)`. Onde `$cost` vem de `adaptCostTotals`, que inclui rawValue. OK, mas `suggestedQuestions` é chamado também em outros lugares? Vamos verificar chamadas a suggestedQuestions e a adaptInsights. Além disso, cheque se há outro caminho em que `suggestedQuestions` é chamado com custo de outro formato sem rawValue.
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{"file_patterns": ["src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php"], "search_text": "suggestedQuestions|adaptInsights|rawValue"}
No matches found
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{"end_line": 887, "file_path": "src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php", "start_line": 800}
File: src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php (Total lines: 887)
IS_TRUNCATED: false
LINE_RANGE: 800-887
800|        return $this->parseNumber(str_replace(['R$', 'K', 'M'], '', $value)) * (str_contains($value, 'M') ? 1000000 : (str_contains($value, 'K') ? 1000 : 1));
801|    }
802|
803|    private function parseNumber(string $value): float
804|    {
805|        $clean = preg_replace('/[^0-9,.-]/', '', $value) ?? '0';
806|        $clean = str_replace('.', '', $clean);
807|        $clean = str_replace(',', '.', $clean);
808|        return is_numeric($clean) ? (float) $clean : 0.0;
809|    }
810|
811|    private function fmtPercent(float $value): string
812|    {
813|        $digits = fmod($value, 1.0) !== 0.0 ? 1 : 0;
814|        return number_format($value, $digits, ',', '.') . '%';
815|    }
816|
817|    private function formatMoneyShort(float $value): string
818|    {
819|        if (abs($value) >= 1000000) {
820|            return 'R$ ' . number_format($value / 1000000, 1, ',', '.') . 'M';
821|        }
822|        if (abs($value) >= 1000) {
823|            return 'R$ ' . number_format($value / 1000, 0, ',', '.') . 'K';
824|        }
825|        return 'R$ ' . number_format($value, 0, ',', '.');
826|    }
827|
828|    private function formatMoneyFull(float $value): string
829|    {
830|        return 'R$ ' . number_format($value, 0, ',', '.');
831|    }
832|
833|    private function mergeCategories(array $a, array $b): array
834|    {
835|        return array_values(array_unique(array_merge($a, $b)));
836|    }
837|
838|    private function mapSeriesByCategory(array $categories, array $values): array
839|    {
840|        $map = [];
841|        foreach ($categories as $index => $category) {
842|            $map[(string) $category] = (float) ($values[$index] ?? 0);
843|        }
844|        return $map;
845|    }
846|
847|    private function palette(int $index): string
848|    {
849|        $colors = ['#F59E0B', '#EF4444', '#1F2937', '#67E8F9', '#0D9488', '#CBD5E1'];
850|        return $colors[$index % count($colors)];
851|    }
852|
853|    private function actionsForArea(float $wellbeing, float $absenceRate): array
854|    {
855|        $actions = [];
856|        if ($wellbeing < 65) {
857|            $actions[] = 'Rodar escuta qualitativa com liderança e time';
858|            $actions[] = 'Plano de ação para fatores de bem-estar abaixo do limite';
859|        }
860|        if ($absenceRate > 5) {
861|            $actions[] = 'Revisar escala, carga e recorrência de ausências';
862|        }
863|        if (count($actions) === 0) {
864|            $actions[] = 'Monitorar tendência por 30 dias';
865|        }
866|        return array_slice($actions, 0, 3);
867|    }
868|
869|    private function suggestedQuestions(array $risk, array $criticalAreas, ?array $mainCause, array $cost): array
870|    {
871|        $questions = [];
872|        if ($risk['high'] > 0) {
873|            $questions[] = ['key' => 'who-high-risk', 'label' => 'Quem são os colaboradores em risco alto?'];
874|        }
875|        if ($mainCause) {
876|            $questions[] = ['key' => 'cause-cost', 'label' => 'Quanto custa a principal causa de ausência?'];
877|        }
878|        if (count($criticalAreas) > 0) {
879|            $questions[] = ['key' => 'critical-area-plan', 'label' => 'Qual plano reduz ausência na área mais crítica?'];
880|        }
881|        if ((float) ($cost['total']['rawValue'] ?? 0) > 0) {
882|            $questions[] = ['key' => 'cost-reduction', 'label' => 'Qual redução de custo é possível no próximo ciclo?'];
883|        }
884|        return array_slice($questions, 0, 3);
885|    }
886|}
887|
Request #22 deepseek-v4-flash P:57.09K C:1.62K CR:55.81K CW:0 13713ms
Reasoning
A busca retornou "No matches found" para suggestedQuestions/adaptInsights/rawValue no controller? Isso é estranho. Talvez porque a busca tenha incluído literal "suggestedQuestions|adaptInsights|rawValue" mas o arquivo usa esses termos... A busca anterior em WellBeingAbsenceController.php retornou matches (linhas 402, 427-431, etc). A nova busca sem use_perl_regexp... eu não marquei use_perl_regexp true. Com regex alternation preciso do use_perl_regexp. A busca literal não achou. Vamos refazer com regex. Enfim, já li os trechos relevantes. Confirmamos: - adaptInsights chama adaptCostTotals, cujo total tem rawValue sempre (float). - suggestedQuestions é chamado de adaptInsights (linha 452) com $cost de adaptCostTotals. OK. Mas atenção: antes, em suggestedQuestions a condição era `($cost['total']['value'] ?? '') !== ''`. A mudança para `(float)($cost['total']['rawValue'] ?? 0) > 0` é mais robusta. Porém se `adaptInsights` não é o único chamador, mas provavelmente é. Não vimos other calls. OK. Agora, um detalhe potencial: `adaptCostTotals` → o `rawValue` = soma dos componentes arredondados. Enquanto `formatMoneyFull($total)` igual. E `$costTotal` em `adaptInsights` é `rawValue`. OK. Bem. Agora olhemos as questões mais sutis: **Perguntas sugeridas no dashboard de custos: no Twig estático**, botões têm data-question e texto, mas o mapeamento `FINAL_QUESTION_CHART_ID` é usado para escolher chartId. Para custo, os três botões são mapeados. Para well-being, os botões são dinâmicos e o backend monta as perguntas com keys conhecidas (who-high-risk, cause-cost, critical-area-plan, cost-reduction). O mapeamento FINAL_QUESTION_CHART_ID no well-being tem essas 4 keys. OK. Mas note um problema: no custo, os textos das perguntas estão estáticos no Twig. O frontend envia o rótulo (textContent) + instrução "Responda de forma objetiva..." e o chartId. Isso é só texto. OK. **Agora um possível problema real de segurança no backend (well-being)**: A mensagem 'executive' etc. montadas no controller usam dados de negócio (kpiMap). Não é XSS novo. OK. **Vamos verificar se as perguntas de custo (cost) estão usando dados que são aprovados**: sem problemas. **Problema com `firstMeaningfulAnalysisText` e o fallback**: se `analysis` é `{}` (ai_analysis vazio), retorna ''. Mensagem "A Adriana não encontrou dados suficientes..." OK. **Agora, o risco de consistência do módulo para o cost dashboard**: no código removido, o custo usava `AI_API_BASE = '/people-analytics/api/' + AI_MODULE;` e `AI_MODULE = 'visao_geral_custos'`. O novo código (helper) usa `module: AI_MODULE` que ainda é `visao_geral_custos`. OK, a rota é `/people-analytics/api/visao_geral_custos/chart/{chartId}/ai-analysis`. O backend aceita `visao_geral_custos`. OK. **Produtividade**: antes usava `API_BASE` que era '/people-analytics/api/produtividade'? Precisamos conferir que o módulo usado pelo antigo requestAnalysis do produtividade era o mesmo que o novo helper: `module: 'produtividade'`. O antigo código do produtividade usava `${API_BASE}/chart/...`, com API_BASE provavelmente '/people-analytics/api/produtividade'. Novo helper chama módulo 'produtividade'. OK. **Bem-estar**: novo código: AI_MODULE = 'bem_estar_ausencia'; e as chamadas de request passam módulo bem_estar_ausencia. OK. Agora, o ponto 6 da revisão (duplicação firstMeaningfulAnalysisText/escapeHtml em cost e well-being) é real. Como o objetivo da PR é centralizar num helper, essas cópias duplicadas no novo arquivo (cost e well-being têm funções iguais recém-adicionadas) são uma falha de maintainability. Report como low/medium. Vamos verificar com mais cuidado a potencial regressão no well-being: no novo código `bindAnalysisActions`, ele agora **só** vincula `.pa-ar-suggested-question` e não mais `.pa-prod-analysis` — mas o helper bind já faz isso, restrito ao `.pa-wb-dash`. Antes, bindAnalysisActions vinculava ambos `.pa-prod-analysis` e `.pa-ar-suggested-question` globalmente (na página), sem filtrar por container. Agora o `.pa-prod-analysis` só é vinculado se estiver dentro de `.pa-wb-dash`. Ok, porque na página toda os botões pa-prod-analysis estão dentro do container pa-wb-dash. Mas espere — o well-being faz bind via `bindAnalysisActions(questionsEl)` que agora chama o `bind` do helper dentro do escopo. E `bind` itera `$(selector).each` procurando globalmente por `.pa-wb-dash .pa-prod-analysis[data-analysis]`. Se a página ainda não estiver carregada... `bindAnalysisActions` é chamado dentro do fluxo de init após DOMContentLoaded? Provavelmente dentro de um init chamado no DOMContentLoaded. Não é problema. Mas há uma sutileza: **quando `bindAnalysisActions` é chamado para um questionsEl recém-criado (após loadInsights async), chamar `PeopleAnalytics.AdrianaChartAnalysis.bind` de novo repetidamente** — guard `data-adriana-analysis-bound` previne duplicação de handlers dos botões de análise. Não há handlers duplicados. OK. Há, porém, um problema de **acoplamento com o well-being**: no `loadInsights` (novo código) as perguntas são renderizadas e `bindAnalysisActions(questionsEl)` é chamado. Como o `bind` do helper também é chamado lá, irá re-bind dos botões pa-prod-analysis, mas com guard, sem problemas. Agora vamos olhar o código completo do well-being mais próximo das linhas 942-970 para confirmar a estrutura e também ver o loadInsights para garantir que o fluxo de renderização das perguntas ainda passa pelos guards wbBound.
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{"end_line": 975, "file_path": "public/js/people-analytics/modules/well-being-absence-dashboard.js", "start_line": 780}
File: public/js/people-analytics/modules/well-being-absence-dashboard.js (Total lines: 1019)
IS_TRUNCATED: false
LINE_RANGE: 780-975
780|        });
781|      })
782|      .catch(function (err) { console.error('[WellBeingAbsence] /custo-totais falhou:', err); });
783|  }
784|
785|  // =====================================================================
786|  // INSIGHTS (atenção custo + análise final)
787|  // =====================================================================
788|  function escapeHtml(value) {
789|    const div = document.createElement('div');
790|    div.textContent = value == null ? '' : String(value);
791|    return div.innerHTML;
792|  }
793|
794|  function firstMeaningfulAnalysisText(analysis) {
795|    if (!analysis) return '';
796|    if (analysis.summary) return analysis.summary;
797|
798|    const fields = [
799|      analysis.key_insights,
800|      analysis.projections,
801|      analysis.attention_points,
802|      analysis.recommended_actions,
803|      analysis.limitations,
804|    ];
805|
806|    for (let i = 0; i < fields.length; i++) {
807|      const items = Array.isArray(fields[i]) ? fields[i].filter(Boolean) : [];
808|      if (items.length > 0) return items[0];
809|    }
810|
811|    return '';
812|  }
813|
814|  function renderFinalQuestionResponse(question, analysis) {
815|    const finalEl = document.querySelector('[data-wb-final-text]');
816|    if (!finalEl) return;
817|
818|    const text = firstMeaningfulAnalysisText(analysis);
819|    finalEl.innerHTML = '<strong>' + escapeHtml(question) + '</strong><br>' +
820|      (text ? escapeHtml(text) : 'A Adriana não encontrou dados suficientes para responder essa pergunta no recorte atual.');
821|  }
822|
823|  function requestFinalQuestionAnalysis(button) {
824|    if (!button || !window.PeopleAnalytics || !window.PeopleAnalytics.AdrianaChartAnalysis) return;
825|
826|    const questionKey = button.getAttribute('data-question') || '';
827|    const questionLabel = button.textContent.trim() || 'Pergunta sugerida';
828|    const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-custo-ausencias-area';
829|    const finalEl = document.querySelector('[data-wb-final-text]');
830|    const originalHtml = button.innerHTML;
831|
832|    button.disabled = true;
833|    button.classList.add('is-loading');
834|    button.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Gerando resposta...';
835|    if (finalEl) finalEl.textContent = 'Gerando resposta com a Adriana...';
836|
837|    window.PeopleAnalytics.AdrianaChartAnalysis.request({
838|      module: AI_MODULE,
839|      getFilters: function () {
840|        return currentFilters || {};
841|      },
842|      question: questionLabel + ' Responda de forma objetiva, sem citar nomes de colaboradores.',
843|    }, chartId)
844|      .then(function (analysis) {
845|        renderFinalQuestionResponse(questionLabel, analysis);
846|      })
847|      .catch(function (err) {
848|        console.error('[WellBeingAbsence] pergunta sugerida falhou:', err);
849|        if (finalEl) finalEl.textContent = 'Não foi possível gerar resposta para essa pergunta no momento.';
850|      })
851|      .finally(function () {
852|        button.disabled = false;
853|        button.classList.remove('is-loading');
854|        button.innerHTML = originalHtml;
855|      });
856|  }
857|
858|  function loadInsights(filters) {
859|    const costEl  = document.querySelector('[data-wb-cost-attention-text]');
860|    const finalEl = document.querySelector('[data-wb-final-text]');
861|    const questionsEl = document.querySelector('[data-wb-questions]');
862|    return forceOrFetch(FORCE_MOCK.insights, MOCK.insights, '/insights', filters, 'cards')
863|      .then(function (data) {
864|        const payload = data || {};
865|        if (costEl)  costEl.innerHTML  = payload.cost_attention || '—';
866|        if (finalEl) finalEl.innerHTML = payload.final || payload.final_analysis || '—';
867|        if (questionsEl) {
868|          const questions = payload.questions || payload.suggested_questions || [];
869|          questionsEl.innerHTML = questions.map(function (q) {
870|            const key = q.key || q.id || q.dataQuestion || 'question';
871|            const label = q.label || q.text || q.question || 'Pergunta sugerida';
872|            return '<button type="button" class="pa-ar-suggested-question" data-question="' + escapeHtml(key) + '">' +
873|              '<i class="fas fa-wand-magic-sparkles"></i>' + escapeHtml(label) +
874|            '</button>';
875|          }).join('');
876|          bindAnalysisActions(questionsEl);
877|        }
878|      })
879|      .catch(function (err) {
880|        console.error('[WellBeingAbsence] /insights falhou:', err);
881|        if (costEl)  costEl.innerHTML  = 'Não foi possível carregar o ponto de atenção.';
882|        if (finalEl) finalEl.innerHTML = 'Não foi possível carregar a análise final.';
883|      });
884|  }
885|
886|  // =====================================================================
887|  // ÁREAS CRÍTICAS E PLANO DE AÇÃO (3 cards)
888|  // =====================================================================
889|  function loadCriticalAreas(filters) {
890|    const grid = document.querySelector('[data-wb-action-grid]');
891|    if (!grid) return Promise.resolve();
892|
893|    return forceOrFetch(FORCE_MOCK.areasCriticas, MOCK.areasCriticas, '/areas-criticas', filters, 'areas')
894|      .then(function (data) {
895|        const areas = (data && data.areas) || [];
896|        if (areas.length === 0) {
897|          grid.innerHTML = '<div class="pa-ar-table__empty">Sem áreas críticas no período.</div>';
898|          return;
899|        }
900|        grid.innerHTML = areas.map(function (a) {
901|          const sev = (a.severity || 'warn').toLowerCase();
902|          const actionsList = a.actions || [];
903|          const actions = actionsList.map(function (act) { return '<li>' + act + '</li>'; }).join('');
904|          return '<div class="pa-wb-action-card">' +
905|            '<div class="pa-wb-action-card__head">' +
906|              '<span class="pa-wb-action-card__title">' + (a.title || '—') + '</span>' +
907|              '<span class="pa-wb-action-card__badge pa-wb-action-card__badge--' + sev + '">' + (a.badge || '—') + '</span>' +
908|            '</div>' +
909|            (a.sub ? '<div class="pa-wb-action-card__sub">' + a.sub + '</div>' : '') +
910|            '<p class="pa-wb-action-card__desc">' + (a.desc || '') + '</p>' +
911|            (actionsList.length > 0
912|              ? '<div class="pa-wb-action-card__actions-label">Ações</div>' +
913|                '<ul class="pa-wb-action-card__actions">' + actions + '</ul>'
914|              : '') +
915|          '</div>';
916|        }).join('');
917|      })
918|      .catch(function (err) {
919|        console.error('[WellBeingAbsence] /areas-criticas falhou:', err);
920|        grid.innerHTML = '<div class="pa-ar-table__empty">Erro ao carregar áreas críticas.</div>';
921|      });
922|  }
923|
924|  // =====================================================================
925|  // UI ACTIONS / FILTROS
926|  // =====================================================================
927|  function bindUiActions() {
928|    document.querySelectorAll('[data-export-chart]').forEach(function (btn) {
929|      btn.addEventListener('click', function () {
930|        const id = btn.getAttribute('data-export-chart');
931|        const chart = chartRegistry.get(id);
932|        if (chart && chart.exportChart) {
933|          try { chart.exportChart({ type: 'image/png', filename: 'bem-estar-' + id }); }
934|          catch (e) { console.warn('[WellBeingAbsence] export falhou', e); }
935|        } else {
936|          console.info('[WellBeingAbsence] export ainda não disponível para', id);
937|        }
938|      });
939|    });
940|
941|    bindAnalysisActions(document);
942|  }
943|
944|  function bindAnalysisActions(scope) {
945|    const root = scope || document;
946|
947|    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
948|      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
949|        module: AI_MODULE,
950|        chartMap: ANALYSIS_CHART_ID,
951|        selector: '.pa-wb-dash .pa-prod-analysis[data-analysis]',
952|        getFilters: function () {
953|          return currentFilters || {};
954|        },
955|        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Bem-estar e Ausência.',
956|      });
957|    }
958|
959|    root.querySelectorAll('.pa-ar-suggested-question').forEach(function (el) {
960|      if (el.dataset.wbBound === '1') return;
961|      el.dataset.wbBound = '1';
962|      el.addEventListener('click', function (ev) {
963|        ev.preventDefault();
964|        requestFinalQuestionAnalysis(el);
965|      });
966|    });
967|  }
968|
969|  function bindPeriodSelect() {
970|    const select = document.getElementById('wbPeriodSelect');
971|    if (!select) return;
972|    select.addEventListener('change', function () {
973|      currentFilters.periodo = select.value;
974|      reloadAll(currentFilters);
975|    });
Request #23 deepseek-v4-flash P:61.15K C:1.42K CR:58.62K CW:0 12302ms
Reasoning
Encontrei um potencial bug real no well-being: em `loadInsights`, o `finalEl.innerHTML = payload.final || payload.final_analysis || '—';` — conteúdo do servidor renderizado diretamente com innerHTML. Mas isso já existia (payload.final contém HTML com <strong>). Já que o payload vem do backend controlado, mas contém dados de negócio que podem incluir nomes de áreas (críticas) vindas do banco... não é necessariamente user input, mas é dado de negócio. Regra: não injetar HTML vindo do usuário sem sanitização. Aqui o HTML é gerado pelo servidor com sprintf e conteúdo de dados. Isso é pré-existente. Não alterado nesta PR (exceto a mensagem de fallback que adiciona HTML? Não, o fallback no backend é string simples). Vamos confirmar no diff do well-being JS: as linhas 865-866 existiam antes (costEl.innerHTML = payload.cost_attention; finalEl.innerHTML = payload.final). Não alteradas. Então não é novo. Vamos agora considerar um ponto interessante de **potencial bug no `loadInsights` do well-being**: a mensagem 'final' no backend agora pode ser a mensagem de "dados insuficientes" (sem HTML). O `finalEl.innerHTML` renderiza isso. OK. **Potencial problema no `executive` etc.** - não alterado. Agora, vamos revisar o helper `adriana-chart-analysis.js` novamente com foco: 1. `requestAnalysis` encoda `module` e `chartId` com `encodeURIComponent`. OK. 2. `contentType: 'application/json'` e data JSON. O backend faz `json_decode($request->getContent(), true)`. OK. 3. `$.ajax` com method POST. OK. 4. Trata `json.success !== true` como erro. E o formato de erro. OK. 5. `renderAnalysis` espera `analysis.summary`, `key_insights`, etc. OK. 6. `renderList('Projeções', analysis.projections)` — o backend retorna `projections`. OK. **XSS**: `escapeHtml` é usado para valores do servidor (títulos e textos). `analysis.title` etc. não vêm de usuário, mas são escapados. OK. Uma questão: o `escapeHtml` em cada módulo e helper é duplicado. Também `getOrCreatePanel` no helper e o well-being? O well-being não define `getAnalysisPanel` mais? Verificamos que o well-being não removeu sua função `getAnalysisPanel` (não aparece no diff removido). Mas não é usado para as perguntas. Pode ser dead code. Deixemos. Agora vamos focar nas preocupações de compatibilidade e no que pode quebrar de fato. **Possível regressão de funcionalidade no well-being — o `bindAnalysisActions` agora chama `PeopleAnalytics.AdrianaChartAnalysis.bind` em todas as chamadas, e o helper `bind` chama `$(selector).each` sobre todos os `.pa-wb-dash .pa-prod-analysis[data-analysis]`. No DOM, o botão `wb-trajetoria-absenteismo` está dentro do `.pa-wb-dash`. Confirmamos. **Possível problema na ordem de carregamento**: o helper `adriana-chart-analysis.js` é carregado via `<script src>` no template, mas o módulo (cost, produtividade, well-being) usa `window.PeopleAnalytics.AdrianaChartAnalysis` somente dentro de funções chamadas no DOMContentLoaded, não no carregamento imediato do script. E o helper é carregado antes do módulo. Então não há problema de dependência de ordem de carregamento em runtime, porque o bind é chamado no DOMContentLoaded/init. Mas no well-being, o helper é carregado antes (linha 385) e o módulo depois (386). OK. **Um detalhe**: Nos templates, os módulos são iniciados no `DOMContentLoaded`. Se `adriana-chart-analysis.js` falhar ao carregar (404?), os módulos ainda funcionam? Não, pois não haveria análise. Mas os guards `if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis)` protegem e caem no comportamento antigo? Não: o comportamento antigo foi **removido**. Então se o helper não carregar (erro de asset), o botão de análise não faz nada (well-being: requestFinalQuestionAnalysis retorna se helper ausente; cost: o segundo loop agora pula buttons mapeados e não há handler; produtividade: o bind do helper não existe). Mas o asset é novo nesta PR e os templates o incluem, então falha de asset é um risco de deploy (cache), mas não uma falha de código em si. Contudo, há uma questão importante de **ordem relativa com o jQuery**: os templates carregam os scripts no `block javascripts`, que está antes do fim do body? layoutAdmin tem jQuery na linha 121 (provavelmente no header) — e o block javascripts no fim. OK, jQuery disponível. Hmm, mas espere: layoutUser.html.twig tem jQuery na linha 128 (provavelmente no body start). Ambos antes. OK. Considerando tudo, acho que o problema 1 (dependência jQuery) provavelmente não se materializa, pois jQuery está garantido pelos layouts. Vou verificar que o `block javascripts` não é renderizado antes do jQuery. Em Twig, `{{ parent() }}` dentro do bloco javascripts inclui o bloco do layout pai. Se o layout pai define o bloco javascripts após o corpo, jQuery (no corpo/head) já foi emitido. É padrão. Sem problema. Vamos verificar layoutAdmin para a posição do bloco javascripts em relação ao jQuery para ter certeza absoluta.
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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 #24 deepseek-v4-flash P:62.62K C:771 CR:62.46K CW:0 6541ms
Reasoning
O bloco javascripts é definido nas linhas 4432 (layoutAdmin) e 3944 (layoutUser), ambos bem depois do jQuery (linhas 121/128). jQuery está carregado antes. OK — não vou reportar o problema 1, pois o jQuery está garantidamente carregado antes dos scripts dos módulos. Vamos agora avaliar se há problema real com **dois binds para o mesmo botão (duplicação de handler)** no custo. No custo: o helper `bind` vincula handlers para `.pa-ca-dash .pa-prod-analysis[data-analysis]` (todos os que estiverem presentes). Depois o segundo loop `document.querySelectorAll('.pa-prod-analysis, ...')` pula `mappedKey` que esteja em ANALYSIS_CHART_ID. Os botões de custo com `data-analysis` mapeado = ca-trajetoria-folha, que está em ANALYSIS_CHART_ID. OK, sem duplicação. Mas o que acontece com outros `.pa-prod-analysis` presentes no custo fora do escopo `.pa-ca-dash` mas com `data-analysis` não mapeado? O segundo loop adiciona handler com click → console.info. Isso é pré-existente comportamento. OK. Agora, algo interessante: no custo o botão "Gerar Análise" (linha 186) não possui `.pa-prod-analysis__label` com span com classe? Tem span com classe `.pa-prod-analysis__label`. OK. **Agora examine o helper `setButtonLoading`**: ``` 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 ? ... : button.dataset.originalAnalysisLabel; ``` No custo o botão da análise tem `<span class="pa-prod-analysis__label">Gerar Análise</span>`, no well-being, `<span>Gerar Análise</span>`, no produtividade `...`. OK. Uma observação: `button.dataset.originalAnalysisLabel` guarda o label do primeiro clique. Se o primeiro clique acontece enquanto o label é "Gerar Análise", ok. O `.finally(() => setButtonLoading(button, false))` restaura. Se o usuário clica rapidamente de novo, os guards... Não há guard contra múltiplos cliques durante o loading (o botão é desabilitado via `button.disabled = isLoading` no fallback do helper, ou via window.setButtonLoading). Mas `requestAnalysis` ainda dispararia? Eventos de click em botão desabilitado não disparam. jQuery `.on('click')` em elemento com `disabled`? Em HTML, botões desabilitados não disparam eventos de clique de usuário. OK. Entretanto, há um problema sutil: quando o helper usa `window.setButtonLoading` se existir (não estamos certo de que existe). `window.setButtonLoading` — será que existe globalmente? Vamos pesquisar.
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{"file_patterns": ["public/js/*.js", "public/js/**/*.js"], "search_text": "function setButtonLoading|window.setButtonLoading"}
No matches found
Request #25 deepseek-v4-flash P:63.41K C:413 CR:63.36K CW:0 4160ms
Reasoning
Não existe `window.setButtonLoading` global — então o helper usará o fallback interno. OK. Agora vamos para uma questão mais importante que pode ser um bug real no helper: **renderAnalysis é chamado mesmo quando `ai_analysis` é vazio** — resolve `{}`? `requestAnalysis` faz `resolve(json.ai_analysis || {})`. Se `json.ai_analysis` é `null`, resolve `{}`. renderAnalysis com `{}` mostra título padrão e nada mais. Isso é um fallback razoável, embora para perguntas de gráfico, se o backend retorna dados vazios com `success:true` e sem ai_analysis, mostraria título "Análise do gráfico" vazio. Mas o endpoint sempre retorna ai_analysis. OK. **Diferença de contrato**: A análise de perguntas sugeridas (final question) do cost e well-being usam `request` e depois `firstMeaningfulAnalysisText`. E a resposta real do backend para o `ai-analysis` inclui `ai_analysis` com `summary`, `key_insights`, etc. Também pode incluir `follow_up_questions` (não usado). OK. Vamos agora revisar as linhas do diff do cost-analysis-dashboard com mais cuidado para ver se há algum problema com o `.pa-ar-corr-card__btn` ou com os outros handlers. Vou ler o diff completo do cost para ver todos os pontos alterados.
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{"path_array": ["public/js/people-analytics/modules/cost-analysis-dashboard.js", "public/js/people-analytics/modules/well-being-absence-dashboard.js", "public/js/people-analytics/modules/produtividade-dashboard.js"]}
==== FILE: public/js/people-analytics/modules/cost-analysis-dashboard.js ====
diff --git a/public/js/people-analytics/modules/cost-analysis-dashboard.js b/public/js/people-analytics/modules/cost-analysis-dashboard.js
--- a/public/js/people-analytics/modules/cost-analysis-dashboard.js
+++ b/public/js/people-analytics/modules/cost-analysis-dashboard.js
@@ -65,10 +65,14 @@
   // =====================================================================
   const API_BASE = '/people-analytics/api/cost-analysis';
   const AI_MODULE = 'visao_geral_custos';
-  const AI_API_BASE = '/people-analytics/api/' + AI_MODULE;
   const ANALYSIS_CHART_ID = {
     'ca-trajetoria-folha': 'chart-evolucao-custo-total',
   };
+  const FINAL_QUESTION_CHART_ID = {
+    'overpaying-no-return': 'chart-custo-produtividade',
+    'hidden-costs-recovery': 'chart-composicao-custos',
+    'exit-risk': 'chart-custo-produtividade',
+  };
 
   function resolveBrandColors() {
     const root = document.documentElement;
@@ -1247,108 +1251,71 @@
     return div.innerHTML;
   }
 
-  function notify(msg) {
-    if (window.toastr && typeof window.toastr.info === 'function') {
-      window.toastr.info(msg);
-    } else {
-      console.info('[CostAnalysis]', msg);
-    }
-  }
-
-  function setAnalysisLoading(btn, loading) {
-    if (!btn) return;
-    btn.disabled = loading;
-    btn.classList.toggle('is-loading', loading);
-    const label = btn.querySelector('.pa-prod-analysis__label') || btn.querySelector('span');
-    if (label) label.textContent = loading ? 'Gerando...' : 'Gerar Análise';
-  }
+  function firstMeaningfulAnalysisText(analysis) {
+    if (!analysis) return '';
+    if (analysis.summary) return analysis.summary;
 
-  function getAnalysisPanel(btn, createIfMissing) {
-    const card = btn && btn.closest('.pa-prod-card');
-    if (!card) return null;
-    const key = btn.getAttribute('data-analysis');
-    let panel = card.querySelector('[data-analysis-panel="' + key + '"]');
-    if (!panel && createIfMissing) {
-      panel = document.createElement('div');
-      panel.className = 'pa-prod-analysis-panel';
-      panel.setAttribute('data-analysis-panel', key);
-      card.appendChild(panel);
+    const fields = [analysis.key_insights, analysis.projections, analysis.attention_points, analysis.recommended_actions, analysis.limitations];
+    for (let i = 0; i < fields.length; i++) {
+      const items = Array.isArray(fields[i]) ? fields[i].filter(Boolean) : [];
+      if (items.length > 0) return items[0];
     }
-    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(function (item) { return '<li>' + escapeHtml(item) + '</li>'; }).join('') + '</ul>' +
-    '</div>';
+    return '';
   }
 
-  function renderAnalysisResult(btn, analysis) {
-    const panel = getAnalysisPanel(btn, true);
-    if (!panel) return;
-    analysis = analysis || {};
-    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('Projeções', analysis.projections) +
-      renderAnalysisList('Pontos de atenção', analysis.attention_points) +
-      renderAnalysisList('Ações recomendadas', analysis.recommended_actions) +
-      renderAnalysisList('Limitações', analysis.limitations);
-  }
+  function requestFinalQuestionAnalysis(button) {
+    if (!button || !window.PeopleAnalytics || !window.PeopleAnalytics.AdrianaChartAnalysis) return;
 
-  function requestAnalysis(btn) {
-    const key = btn && btn.getAttribute('data-analysis');
-    const chartId = key ? ANALYSIS_CHART_ID[key] : null;
-    if (!chartId) {
-      console.info('[CostAnalysis] análise solicitada sem gráfico mapeado:', key);
-      return;
-    }
+    const questionKey = button.getAttribute('data-question') || '';
+    const questionLabel = button.textContent.trim() || 'Pergunta sugerida';
+    const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-evolucao-custo-total';
+    const finalEl = document.querySelector('[data-ca-final-text]');
+    const originalHtml = button.innerHTML;
 
-    setAnalysisLoading(btn, true);
+    button.disabled = true;
+    button.classList.add('is-loading');
+    button.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Gerando resposta...';
+    if (finalEl) finalEl.textContent = 'Gerando resposta com a Adriana...';
 
-    fetch(AI_API_BASE + '/chart/' + encodeURIComponent(chartId) + '/ai-analysis', {
-      method: 'POST',
-      credentials: 'same-origin',
-      headers: {
-        'Accept': 'application/json',
-        'Content-Type': 'application/json',
-        'X-Requested-With': 'XMLHttpRequest',
+    window.PeopleAnalytics.AdrianaChartAnalysis.request({
+      module: AI_MODULE,
+      getFilters: function () {
+        return currentFilters || {};
       },
-      body: JSON.stringify({
-        filters: currentFilters || {},
-        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.',
-      }),
-    })
-      .then(function (res) {
-        if (!res.ok) throw new Error('HTTP ' + res.status);
-        return res.json();
-      })
-      .then(function (json) {
-        if (!json || json.success !== true) {
-          throw new Error((json && json.error) || 'Não foi possível gerar a análise.');
+      question: questionLabel + ' Responda de forma objetiva, usando apenas os dados de custos disponíveis.',
+    }, chartId)
+      .then(function (analysis) {
+        const text = firstMeaningfulAnalysisText(analysis);
+        if (finalEl) {
+          finalEl.innerHTML = '<strong>' + escapeHtml(questionLabel) + '</strong><br>' +
+            (text ? escapeHtml(text) : 'A Adriana não encontrou dados suficientes para responder essa pergunta no recorte atual.');
         }
-        renderAnalysisResult(btn, json.ai_analysis || {});
       })
       .catch(function (err) {
-        console.error('[CostAnalysis] análise IA:', err);
-        notify(err.message || 'Não foi possível gerar a análise por IA.');
+        console.error('[CostAnalysis] pergunta sugerida falhou:', err);
+        if (finalEl) finalEl.textContent = 'Não foi possível gerar resposta para essa pergunta no momento.';
       })
       .finally(function () {
-        setAnalysisLoading(btn, false);
+        button.disabled = false;
+        button.classList.remove('is-loading');
+        button.innerHTML = originalHtml;
       });
   }
 
   function bindUiActions() {
+    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
+      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
+        module: AI_MODULE,
+        chartMap: ANALYSIS_CHART_ID,
+        selector: '.pa-ca-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 Custos.',
+      });
+    }
+
     document.querySelectorAll('[data-export-chart]').forEach(function (btn) {
       btn.addEventListener('click', function () {
         const id = btn.getAttribute('data-export-chart');
@@ -1363,11 +1330,14 @@
     });
 
     document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn').forEach(function (el) {
+      const mappedKey = el.getAttribute('data-analysis');
+      if (mappedKey && ANALYSIS_CHART_ID[mappedKey]) return;
+
       el.addEventListener('click', function (ev) {
         ev.preventDefault();
         const key = el.getAttribute('data-analysis');
-        if (key && ANALYSIS_CHART_ID[key]) {
-          requestAnalysis(el);
+        if (el.classList.contains('pa-ar-suggested-question')) {
+          requestFinalQuestionAnalysis(el);
           return;
         }
         console.info('[CostAnalysis] análise solicitada:', key || el.getAttribute('data-question'));
==== FILE: public/js/people-analytics/modules/well-being-absence-dashboard.js ====
diff --git a/public/js/people-analytics/modules/well-being-absence-dashboard.js b/public/js/people-analytics/modules/well-being-absence-dashboard.js
--- a/public/js/people-analytics/modules/well-being-absence-dashboard.js
+++ b/public/js/people-analytics/modules/well-being-absence-dashboard.js
@@ -55,6 +55,16 @@
   // CONFIG
   // =====================================================================
   const API_BASE = '/people-analytics/api/well-being-absence';
+  const AI_MODULE = 'bem_estar_ausencia';
+  const ANALYSIS_CHART_ID = {
+    'wb-trajetoria-absenteismo': 'chart-evolucao-faltas',
+  };
+  const FINAL_QUESTION_CHART_ID = {
+    'who-high-risk': 'chart-correlacao-bem-estar-ausencia',
+    'cause-cost': 'chart-ausencias-motivo',
+    'critical-area-plan': 'chart-bem-estar-area',
+    'cost-reduction': 'chart-custo-ausencias-area',
+  };
 
   function resolveBrandColors() {
     const root = document.documentElement;
@@ -775,6 +785,76 @@
   // =====================================================================
   // INSIGHTS (atenção custo + análise final)
   // =====================================================================
+  function escapeHtml(value) {
+    const div = document.createElement('div');
+    div.textContent = value == null ? '' : String(value);
+    return div.innerHTML;
+  }
+
+  function firstMeaningfulAnalysisText(analysis) {
+    if (!analysis) return '';
+    if (analysis.summary) return analysis.summary;
+
+    const fields = [
+      analysis.key_insights,
+      analysis.projections,
+      analysis.attention_points,
+      analysis.recommended_actions,
+      analysis.limitations,
+    ];
+
+    for (let i = 0; i < fields.length; i++) {
+      const items = Array.isArray(fields[i]) ? fields[i].filter(Boolean) : [];
+      if (items.length > 0) return items[0];
+    }
+
+    return '';
+  }
+
+  function renderFinalQuestionResponse(question, analysis) {
+    const finalEl = document.querySelector('[data-wb-final-text]');
+    if (!finalEl) return;
+
+    const text = firstMeaningfulAnalysisText(analysis);
+    finalEl.innerHTML = '<strong>' + escapeHtml(question) + '</strong><br>' +
+      (text ? escapeHtml(text) : 'A Adriana não encontrou dados suficientes para responder essa pergunta no recorte atual.');
+  }
+
+  function requestFinalQuestionAnalysis(button) {
+    if (!button || !window.PeopleAnalytics || !window.PeopleAnalytics.AdrianaChartAnalysis) return;
+
+    const questionKey = button.getAttribute('data-question') || '';
+    const questionLabel = button.textContent.trim() || 'Pergunta sugerida';
+    const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-custo-ausencias-area';
+    const finalEl = document.querySelector('[data-wb-final-text]');
+    const originalHtml = button.innerHTML;
+
+    button.disabled = true;
+    button.classList.add('is-loading');
+    button.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Gerando resposta...';
+    if (finalEl) finalEl.textContent = 'Gerando resposta com a Adriana...';
+
+    window.PeopleAnalytics.AdrianaChartAnalysis.request({
+      module: AI_MODULE,
+      getFilters: function () {
+        return currentFilters || {};
+      },
+      question: questionLabel + ' Responda de forma objetiva, sem citar nomes de colaboradores.',
+    }, chartId)
+      .then(function (analysis) {
+        renderFinalQuestionResponse(questionLabel, analysis);
+      })
+      .catch(function (err) {
+        console.error('[WellBeingAbsence] pergunta sugerida falhou:', err);
+        if (finalEl) finalEl.textContent = 'Não foi possível gerar resposta para essa pergunta no momento.';
+      })
+      .finally(function () {
+        button.disabled = false;
+        button.classList.remove('is-loading');
+        button.innerHTML = originalHtml;
+      });
+  }
+
   function loadInsights(filters) {
     const costEl  = document.querySelector('[data-wb-cost-attention-text]');
     const finalEl = document.querySelector('[data-wb-final-text]');
@@ -789,8 +869,8 @@
           questionsEl.innerHTML = questions.map(function (q) {
             const key = q.key || q.id || q.dataQuestion || 'question';
             const label = q.label || q.text || q.question || 'Pergunta sugerida';
-            return '<button type="button" class="pa-ar-suggested-question" data-question="' + key + '">' +
-              '<i class="fas fa-wand-magic-sparkles"></i>' + label +
+            return '<button type="button" class="pa-ar-suggested-question" data-question="' + escapeHtml(key) + '">' +
+              '<i class="fas fa-wand-magic-sparkles"></i>' + escapeHtml(label) +
             '</button>';
           }).join('');
           bindAnalysisActions(questionsEl);
@@ -862,12 +942,26 @@
   }
 
   function bindAnalysisActions(scope) {
-    (scope || document).querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question').forEach(function (el) {
+    const root = scope || document;
+
+    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
+      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
+        module: AI_MODULE,
+        chartMap: ANALYSIS_CHART_ID,
+        selector: '.pa-wb-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 Bem-estar e Ausência.',
+      });
+    }
+
+    root.querySelectorAll('.pa-ar-suggested-question').forEach(function (el) {
       if (el.dataset.wbBound === '1') return;
       el.dataset.wbBound = '1';
       el.addEventListener('click', function (ev) {
         ev.preventDefault();
-        console.info('[WellBeingAbsence] análise solicitada:', el.getAttribute('data-analysis') || el.getAttribute('data-question'));
+        requestFinalQuestionAnalysis(el);
       });
     });
   }
==== 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 #26 deepseek-v4-flash P:69K C:314 CR:63.74K CW:0 3126ms
Reasoning
Agora, no produtividade, mudanças importantes: - Antes: `document.querySelectorAll('[data-analysis]')` bind de click com `requestAnalysis(key)`. Novamente com o helper. - `getAnalysisPanel`, `renderAnalysisList`, `renderAnalysisResult`, `setAnalysisLoading`, `requestAnalysis` removidos. Mas `getAnalysisPanel` foi removido? No diff acima, `getAnalysisPanel` permanece na produtividade (linhas 277-292 mostram que `setAnalysisLoading` foi removido e `getAnalysisPanel` ainda existe). Vamos verificar: no diff, ele remove `setAnalysisLoading`, e mantém `getAnalysisPanel` (que agora não é chamado por ninguém?). Depois remove `renderAnalysisList`, `renderAnalysisResult`, `requestAnalysis`. `getAnalysisPanel` provavelmente ainda é usado por outro código (ex.: heatmap insight). Vamos pesquisar usos remanescentes de getAnalysisPanel no produtividade para ver se ficou dead code.
Tool Calls (1)
code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "getAnalysisPanel|renderAnalysisResult|setAnalysisLoading|notify"}
No matches found
Request #27 deepseek-v4-flash P:69.32K C:147 CR:69.25K CW:0 1616ms
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "getAnalysisPanel"}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 2
275|      const panel = getAnalysisPanel(key, false);
280|  function getAnalysisPanel(key, createIfMissing) {

code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "function notify"}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 1
1294|  function notify(msg) {

Request #28 deepseek-v4-flash P:69.58K C:155 CR:69.38K CW:0 2092ms
Reasoning
OK, getAnalysisPanel ainda é usado na linha 275 (setAnalysisVisible?), e notify ainda existe (1294) usado em outros lugares. Não é dead code novo. Vamos ler as linhas 260-300 do produtividade para entender o contexto da função que usa getAnalysisPanel.
Tool Calls (1)
file_read
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 ${normalizePercent(average.toFixed(1))}%, sugerindo priorizar essa janela para tarefas de maior foco.`;
328|  }
329|
330|  function destroyChart(id) {
Request #29 deepseek-v4-flash P:70.78K C:2.3K CR:69.63K CW:0 20201ms
Reasoning
OK, getAnalysisPanel ainda é usado em setAnalysisVisible para remover painel. E os painéis antigos (data-analysis-panel) são removidos quando ocultos. Mas note que o helper cria o painel com `data-analysis-panel="${key}"` na estrutura idêntica (className pa-prod-analysis-panel). setAnalysisVisible usa getAnalysisPanel(key,false) → procura por card.querySelector com data-analysis-panel e remove. Compatível com o helper. OK, sem problema. Agora, uma observação importante sobre o produtividade: **o helper cria o painel e o adiciona ao `.pa-prod-card`** (appendChild). Em setAnalysisVisible(false), o painel é removido (se existe). OK. Agora, vamos verificar a chamada `setAnalysisVisible(key, false)` no init do produtividade (linha 1281): quando não há dados, o botão fica hidden; quando há dados, visível. Durante init, os botões podem não estar clicáveis até bindUiActions. OK. Vamos confirmar a **ordem de init no produtividade**: bindUiActions é chamado no init. Vamos verificar a parte onde bindUiActions é chamado e se os botões visíveis (com dados) são vinculados depois da carga. Também a `bindUiActions` do custo e well-being... mas em geral tudo ok. Agora vamos achar um bug mais real: **Em cost e well-being, o texto da pergunta sugerida é enviado como `question`** — isso é texto controlado. Mas atenção: o backend envia para a IA sem sanitização. Não é um risco novo (apenas envia texto de pergunta). **Backend well-being**: A mudança em `insights` monta mensagens com HTML embutido; o Twig injeta via innerHTML. Pré-existente. Vamos focar na possível **regressão do contrato backend/front** no well-being: O front `loadInsights` monta perguntas; a mudança do backend em `suggestedQuestions` agora usa rawValue > 0 para incluir a pergunta 'cost-reduction'. O front mapeia 'cost-reduction' → chart-custo-ausencias-area, e o módulo bem_estar_ausencia suporta chart-custo-ausencias-area. OK. Porém, reparo: as perguntas têm keys estáticas e o dashboard tem até 3 perguntas (array_slice(...,0,3)). O mapeamento FINAL_QUESTION_CHART_ID cobre as 4 possíveis keys. OK. **Um possível bug real** no controller: quando os dados são insuficientes e nenhuma pergunta é montada, o well-being `loadInsights` deixa `questionsEl.innerHTML = ''` (nenhum botão). Estático "Carregando perguntas…" é substituído por string vazia. Visualmente ok. **E quanto ao `executive` e `cost_attention` e `at_risk_insight` quando dados insuficientes?** Continuam a mostrar valores como "R$ 0" e "0 colaboradores em risco alto" — mas isso não é enganoso exatamente; ainda é um dado (zero). Hmm, mas "Maior componente é — representando —" mostra placeholder. Deixemos, pré-existente. Agora, um problema mais profundo: a mudança de backend determina `$hasMeaningfulData` como falso se não há dados, então `final` mostra "Ainda não há dados suficientes". Porém, o front-end well-being, ao exibir o conteúdo do `data-wb-final-text`, usa `payload.final || payload.final_analysis || '—'`. E a descrição da PR diz que quando o período sem dados solicita-se análise (das perguntas sugeridas) a resposta deve mostrar dados insuficientes. As perguntas só são geradas se houver dados. Então, quando não há dados, não há botões de pergunta. E o botão "Gerar Análise" do gráfico da trajetória ainda existe e dispara a análise de IA do gráfico — com dados vazios, a IA retornará algo como "dados insuficientes" na análise. OK. Mas se o usuário clicar numa pergunta sugerida quando `cost-reduction` é incluído mas a análise por IA falha (chama chart-custo-ausencias-area que retorna dados mas a pergunta pergunta por redução)... nada de relevante. **Agora, um possível problema de regressão no custo** — a mudança: `requestAnalysis` removido e substituído por helper; mas observe que o `bind` do helper seleciona `.pa-ca-dash .pa-prod-analysis[data-analysis]` e faz bind nos **botões de análise de gráfico**. Porém, os botões de "Pergunta sugerida" do cost têm classe `pa-ar-suggested-question` e `data-question`, não `data-analysis`. OK. Mas **um detalhe importante**: no cost, `bindUiActions` roda no init. Os botões de pergunta sugerida são estáticos; ok. Mas espere — `requestFinalQuestionAnalysis` usa `finalEl` = `document.querySelector('[data-ca-final-text]')`. Se o usuário clica num botão de pergunta antes que o texto final tenha sido carregado? O elemento existe no HTML estático (data-ca-final-text na linha 557). OK. **Interessante**: no well-being, o texto final é carregado a partir do `/insights` e sobrescrito quando o usuário faz uma pergunta sugerida. Quando novos filtros são aplicados, loadInsights é re-executado e sobrescreve finalEl com payload.final (back-end). Se o usuário tinha feito uma pergunta sugerida e depois muda o filtro, o texto da resposta é perdido — comportamento esperado. Vamos agora verificar **a regressão potencial mais séria**: a duplicação de handlers e o double-submit no well-being para perguntas sugeridas. No well-being, `bindAnalysisActions(document)` é chamado em bindUiActions (uma vez) e `bindAnalysisActions(questionsEl)` após cada loadInsights. Ambos chamam `PeopleAnalytics.AdrianaChartAnalysis.bind(...)` que itera e faz bind com guard `data-adriana-analysis-bound`. Para os botões `.pa-ar-suggested-question`, o guard é `data-wbBound`. Sem duplicação. OK. **Agora o ponto interessante**: as perguntas sugeridas do well-being são recriadas a cada loadInsights (innerHTML novo). A cada recriação, `bindAnalysisActions(questionsEl)` roda de novo e re-vincula os novos botões. OK. Agora, **qual é o fluxo do custo para loadInsights/atualização de perguntas?** As perguntas no custo são estáticas. Há outras chamadas `loadInsights`? Sim, custo tem callbacks que atualizam o texto final (data-ca-final-text) via `/insights`. Mas não recria botões. OK. Vamos verificar um problema potencial com **o helper bind ser executado múltiplas vezes para o well-being**: cada chamada de `bindAnalysisActions` re-executa `$.each` sobre o DOM com `$(selector).each`, mas guard evita bind duplo. Entretanto, o guard do well-being para `.pa-ar-suggested-question` usa `el.dataset.wbBound`, então não há duplo bind. OK. Hmm, mas há um problema de **bound state**: quando um novo questionsEl é carregado, o `bind` do helper também é chamado com o DOM antigo. OK, sem problema funcional. Bom. Vamos examinar o controller `WellBeingAbsenceController` para saber se `adaptCostTotals` é chamado em mais caminhos que não fornecem rawValue. E para dimensionar a "god controller" (a PR em questão). O arquivo tem 887 linhas. A regra específica de controller diz que se o arquivo já é grande, sinalizar o aumento. A mudança adiciona ~20 linhas. Deve sinalizar, mas o controller parece grande. Porém a mudança é razoavelmente pequena e a regra diz: se já mistura responsabilidades, sinalizar. Isso é um comentário de maintainability médio. Vamos verificar se `rawValue` aparece em outros controllers também (para manter o contrato). A busca anterior mostrou que não, apenas nesse. Só o front consome rawValue? O front do well-being consome insights `payload.cost_attention`, etc., não rawValue. rawValue é usado apenas pelo controller para o cálculo interno de `hasMeaningfulData` e `suggestedQuestions`. Então a adição de rawValue é segura (campo extra no response que pode ser ignorado por outros consumidores). Mas aumenta a resposta? A resposta `/insights` retorna o array `adaptInsights`, que não inclui `cost`/`rawValue` (só os campos executive, at_risk_insight, cost_attention, final, questions). Espera, `adaptInsights` é o retorno? Precisamos ver como adaptInsights é usado: o endpoint `/insights` retorna `adaptInsights($filters)`, cujas chaves são 'executive', 'at_risk_insight', 'cost_attention', 'final', 'questions'. rawValue está dentro de $cost, que não é retornado no array final. Então rawValue não é exposto na resposta. A descrição do diff mostra que o retorno de adaptInsights não inclui $cost. OK, então nada é exposto ao front. rawValue é puramente interno. Vamos confirmar o endpoint que retorna insights.
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{"end_line": 180, "file_path": "src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php", "start_line": 1}
File: src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php (Total lines: 887)
IS_TRUNCATED: false
LINE_RANGE: 1-180
1|<?php
2|
3|namespace App\Controller\Api\PeopleAnalytics;
4|
5|use App\Service\PeopleAnalytics\WelfareAbsenceService;
6|use App\Service\PeopleAnalytics\PeopleAnalyticsPermissionService;
7|use App\Service\UserAccessService;
8|use Symfony\Bundle\FrameworkBundle\Controller\AbstractController;
9|use Symfony\Component\HttpFoundation\JsonResponse;
10|use Symfony\Component\HttpFoundation\Request;
11|use Symfony\Component\HttpFoundation\Response;
12|use Symfony\Component\Routing\Annotation\Route;
13|
14|#[Route('/people-analytics/api/well-being-absence')]
15|class WellBeingAbsenceController extends AbstractController
16|{
17|    public function __construct(
18|        private WelfareAbsenceService $service,
19|        private UserAccessService $userAccess,
20|        private PeopleAnalyticsPermissionService $paPermissionService,
21|    ) {
22|    }
23|
24|    /** KPIs principais (Taxa, Dias-ausência, Custo mensal, Em risco, Áreas em atenção). */
25|    #[Route('/kpis', name: 'people_analytics_api_well_being_absence_kpis', methods: ['GET'])]
26|    public function getKpis(Request $request): JsonResponse
27|    {
28|        return $this->withData($request, fn (array $filters): array => $this->adaptKpis($filters));
29|    }
30|
31|    /** Trajetória do Absenteísmo (5 séries: médica curta, médica longa, justificada, não justificada, total). */
32|    #[Route('/trajetoria-absenteismo', name: 'people_analytics_api_well_being_absence_trajectory', methods: ['GET'])]
33|    public function getTrajectory(Request $request): JsonResponse
34|    {
35|        return $this->withData($request, fn (array $filters): array => $this->adaptTrajectory($filters));
36|    }
37|
38|    /** Cards de diagnóstico (Tendência / Evento crítico / Posição atual). */
39|    #[Route('/cards-diagnostico', name: 'people_analytics_api_well_being_absence_diagnostic', methods: ['GET'])]
40|    public function getDiagnosticCards(Request $request): JsonResponse
41|    {
42|        return $this->withData($request, fn (array $filters): array => $this->adaptDiagnostic($filters));
43|    }
44|
45|    /** Composição das Ausências — Por Tipo (regime). */
46|    #[Route('/composicao-tipo', name: 'people_analytics_api_well_being_absence_breakdown_type', methods: ['GET'])]
47|    public function getBreakdownByType(Request $request): JsonResponse
48|    {
49|        return $this->withData($request, fn (array $filters): array => $this->adaptBreakdownByType($filters));
50|    }
51|
52|    /** Composição das Ausências — Por Causa Médica (CIDs agregados). */
53|    #[Route('/composicao-causa', name: 'people_analytics_api_well_being_absence_breakdown_cause', methods: ['GET'])]
54|    public function getBreakdownByCause(Request $request): JsonResponse
55|    {
56|        return $this->withData($request, fn (array $filters): array => $this->adaptBreakdownByCause($filters));
57|    }
58|
59|    /** Sinais de Burnout — 4 mini KPIs (carga, fim de semana, após 22h, sem férias). */
60|    #[Route('/sinais-burnout', name: 'people_analytics_api_well_being_absence_burnout_signals', methods: ['GET'])]
61|    public function getBurnoutSignals(Request $request): JsonResponse
62|    {
63|        return $this->withData($request, fn (array $filters): array => $this->adaptBurnoutSignals($filters));
64|    }
65|
66|    /** Colaboradores em Risco — 4 faixas (Alto, Médio, Baixo, Sem sinais). */
67|    #[Route('/colaboradores-risco', name: 'people_analytics_api_well_being_absence_at_risk', methods: ['GET'])]
68|    public function getAtRisk(Request $request): JsonResponse
69|    {
70|        return $this->withData($request, fn (array $filters): array => $this->adaptAtRisk($filters));
71|    }
72|
73|    /** Custo do Absenteísmo — Componentes (tabela 4 linhas: Produtividade, Substituição, INSS, Turnover). */
74|    #[Route('/componentes-custo', name: 'people_analytics_api_well_being_absence_cost_components', methods: ['GET'])]
75|    public function getCostComponents(Request $request): JsonResponse
76|    {
77|        return $this->withData($request, fn (array $filters): array => $this->adaptCostComponents($filters));
78|    }
79|
80|    /** Custo do Absenteísmo — Totais (3 KPIs: Custo Total, % na Folha, Principal Componente). */
81|    #[Route('/custo-totais', name: 'people_analytics_api_well_being_absence_cost_totals', methods: ['GET'])]
82|    public function getCostTotals(Request $request): JsonResponse
83|    {
84|        return $this->withData($request, fn (array $filters): array => $this->adaptCostTotals($filters));
85|    }
86|
87|    /** Áreas Críticas e Plano de Ação — 3 cards com badge, descrição e lista de ações. */
88|    #[Route('/areas-criticas', name: 'people_analytics_api_well_being_absence_critical_areas', methods: ['GET'])]
89|    public function getCriticalAreas(Request $request): JsonResponse
90|    {
91|        return $this->withData($request, fn (array $filters): array => $this->adaptCriticalAreas($filters));
92|    }
93|
94|    /** Insights agregados (executiva, ponto de atenção do custo, insight de risco, análise final). */
95|    #[Route('/insights', name: 'people_analytics_api_well_being_absence_insights', methods: ['GET'])]
96|    public function getInsights(Request $request): JsonResponse
97|    {
98|        return $this->withData($request, fn (array $filters): array => $this->adaptInsights($filters));
99|    }
100|
101|    private function withData(Request $request, callable $producer): JsonResponse
102|    {
103|        $company = $this->userAccess->getSelectedCompany();
104|        if (!$company) {
105|            return $this->json(
106|                ['success' => false, 'error' => 'Empresa não selecionada'],
107|                Response::HTTP_FORBIDDEN
108|            );
109|        }
110|
111|        try {
112|            $filters = $this->normalizeFilters($request->query->all());
113|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
114|            $filters = $this->normalizeFilters($filters);
115|            $filters['company_id'] = $company->getId();
116|
117|            return $this->json([
118|                'success'         => true,
119|                'data'            => $producer($filters),
120|                'filters_applied' => $filters,
121|            ]);
122|        } catch (\Exception $e) {
123|            return $this->json([
124|                'success' => false,
125|                'error'   => 'Erro: ' . $e->getMessage(),
126|            ], Response::HTTP_INTERNAL_SERVER_ERROR);
127|        }
128|    }
129|
130|    private function normalizeFilters(array $filters): array
131|    {
132|        foreach ($filters as $key => $value) {
133|            if (is_string($value) && str_contains($value, ',')) {
134|                $filters[$key] = array_values(array_filter(array_map('trim', explode(',', $value)), fn ($item) => $item !== ''));
135|            }
136|        }
137|
138|        foreach (['membro', 'gestor-equipe', 'tipo-licenca', 'motivo-esocial', 'tipo-vinculo', 'senioridade', 'turno', 'dia-semana', 'tipo-ausencia-operacional', 'dimensao-bem-estar'] as $key) {
139|            if (isset($filters[$key]) && !is_array($filters[$key])) {
140|                $filters[$key] = [$filters[$key]];
141|            }
142|        }
143|
144|        if (($filters['periodo'] ?? null) === 'mes-passado') {
145|            [$start, $end] = $this->resolveDates(['periodo' => 'mes-passado']);
146|            $filters['start_date'] = $start;
147|            $filters['end_date'] = $end;
148|            unset($filters['periodo']);
149|        }
150|
151|        if (($filters['periodo'] ?? null) === 'ultimos-3-meses') {
152|            $filters['periodo'] = 'ultimo-trimestre';
153|        }
154|
155|        if (($filters['periodo'] ?? null) === 'ano-passado') {
156|            [$start, $end] = $this->resolveDates(['periodo' => 'ano-passado']);
157|            $filters['start_date'] = $start;
158|            $filters['end_date'] = $end;
159|            unset($filters['periodo']);
160|        }
161|
162|        return $filters;
163|    }
164|
165|    private function adaptKpis(array $filters): array
166|    {
167|        $rawKpis = $this->indexKpisByTitle($this->service->getKpis($filters));
168|        $absence = $this->absenceTotals($filters);
169|        $risk = $this->riskDistribution($filters);
170|        $criticalAreas = array_values(array_filter(
171|            $this->criticalAreaRows($filters),
172|            static fn (array $area): bool => ($area['severity'] ?? '') !== 'low'
173|        ));
174|        $lowSample = ((int) ($absence['headcount'] ?? 0)) < 5;
175|
176|        $formalRate = $this->parsePercent($this->kpiValue($rawKpis, 'Ausências Formais'));
177|        $operationalRate = $this->parsePercent($this->kpiValue($rawKpis, 'Ausências Operacionais'));
178|        $absenceRate = round($formalRate + $operationalRate, 1);
179|        $cost = $this->parseMoney($this->kpiValue($rawKpis, 'Custo de Ausências'));
180|
Request #30 deepseek-v4-flash P:75.75K C:3.36K CR:72.96K CW:0 29378ms
Reasoning
O controller é um "god controller" com muitos métodos adapt* — 887 linhas e concentra muita lógica (embora delegue dados ao service). A PR adiciona algumas linhas a esse padrão. Este é o achado de god object (maior peso na regra específica de controller). Mas a mudança é bem menor; é razoável comentar como atenção (médio). O endpoint `/custo-totais` retorna adaptCostTotals, agora com o novo campo `rawValue` no total. Isso muda o contrato de resposta para um consumidor front. O front do well-being usa `/custo-totais`? Na verdade, os dados do custo são carregados por outro módulo (componentes-custo/custo-totais) com `forceOrFetch(FORCE_MOCK.custoTotais, ..., '/custo-totais', ...)`. O campo rawValue é adicionado como extra — aditivo, não quebra. Mas precisamos verificar se qualquer código que lê `cost['total']['value']` de outros lugares espera apenas 'value'. Aditivo é seguro. Agora, o controller size ~887 linhas e concentra muita responsabilidade de "adaptação" e orquestração (embora delegue query para service). O padrão da regra do usuário diz: "Se este controller já é grande ... qualquer aumento dessa mesma responsabilidade na PR é o achado mais importante". Reportar como médio. Vamos agora revisar com cuidado se há um bug real no `suggestedQuestions`: A condição antiga `($cost['total']['value'] ?? '') !== ''` retornava pergunta quando value não-vazio. Nova condição usa `(float)($cost['total']['rawValue'] ?? 0) > 0`. Em adaptCostTotals, `$total` é calculado como soma dos `value`s (arredondados). Se custo real é >0 mas <0.5, arredonda para 0. Há um caso extremo de custos pequenos perderem a pergunta. Não relevante. Outra coisa: **o `rawValue` é exposto para todos no /custo-totais**. Não há problema de privacidade (soma, não individual). Agora vou checar a parte do front-end do well-being — por exemplo o `MOCK.insights` para comparar formato e a estrutura `payload.final`. Se o mock não tiver 'final' mas tiver 'final_analysis', o fallback cobre. Vamos ver MOCK para confirmar que o shape das respostas esperadas do novo backend (com ou sem question com key). Na verdade a mudança não depende do mock. OK. **Vamos voltar e avaliar o ponto 3 do plano: botões fora do container / carregados dinamicamente.** Verificamos que os botões de análise estão no DOM estático dentro dos containers. Mas em produtividade, há botões `.pa-prod-analysis` dentro de cards que são mostrados/ocultados, mas presentes no DOM estático. OK. E há outros botões data-analysis no custo? `data-export-chart`, não. OK. **Potencial problema de regressão de duplo-clique/duplo envio**: se um usuário clica duas vezes rápido no botão da análise (helper), o click handler dispara duas requisições? O botão fica desabilitado somente depois que o click handler roda (setButtonLoading(button, true) no início). O segundo clique depois disso é ignorado (botão desabilitado). Mas cliques muito rápidos (double-click) podem disparar o segundo antes do primeiro handler completar? Não, o handler é síncrono até setButtonLoading — ele desabilita o botão antes do ajax. Em browsers, um double-click em botão desabilitado não gera eventos de clique no botão. Porém, o click handler é anexado via jQuery ao botão; ao desabilitar (disabled = true), eventos de clique não disparam. Então está protegido. Entretanto, no well-being, os botões de pergunta sugerida: `requestFinalQuestionAnalysis` não desabilita via `button.disabled = true`? Sim faz. OK. **Um problema real: no helper `bind`, `$(button).on('click', ...)`** — mas o well-being costuma criar botões `.pa-ar-suggested-question` que são vinculados por `addEventListener`. Porém, quando `bindAnalysisActions(questionsEl)` é chamado com o questionsEl recém-preenchido, `window.PeopleAnalytics.AdrianaChartAnalysis.bind({...})` é chamado a cada vez e faz `$(selector).each` — o que pode ser ineficiente mas não bug. **Problema de escopo do bind no well-being quando bindAnalysisActions(questionsEl)** — como o helper usa selector global `.pa-wb-dash ...`, e não usa o root/scope, não há perda. OK. Vamos agora ver o que os templates alterados têm para questões de segurança XSS: - O well-being JS agora usa escapeHtml(key) e escapeHtml(label) ao criar os botões das perguntas — melhoria (antes não escapava). Bom. O controller PHP adiciona strings `rawValue`. OK. **Agora, sobre os tokens CSRF na nova requisição AJAX (`requestAnalysis` no helper)**: o endpoint antigo (removido no produtividade e custo) já era POST sem CSRF via fetch. Então não é regressão. As demais chamadas da página também não usam CSRF (padrão API JSON com X-Requested-With). Os controllers da área não validam CSRF. Então não vou marcar como problema. **Vamos verificar se há risco de segurança via a rota do controller `PeopleAnalyticsApiController` quando o chart resolver retorna dados para o chartId**: é apenas dado com filtros de usuário. OK. Agora, um possível problema: **A mensagem de erro da IA exposta** (`response.error || response.message || 'HTTP ' + status`) é mostrada ao usuário no painel. O backend pode retornar mensagem de exceção com detalhes técnicos (no catch do PeopleAnalyticsApiController, `'Erro ao processar análise: ' . $e->getMessage()`). Isso pode expor detalhes internos para o usuário, mas isso é pré-existente no endpoint. O front agora renderiza `error.message` no painel via `escapeHtml`, que já sanitiza. OK. Vamos agora decidir os comentários de revisão concretos a reportar: 1. **[médio] Duplicação**: `firstMeaningfulAnalysisText` e `escapeHtml` duplicados em cost-analysis-dashboard.js e well-being-absence-dashboard.js (novas funções), e também `escapeHtml` existia no cost (linha 1248) — espera, o cost já tinha escapeHtml? No diff, cost tinha `function escapeHtml` já existente (linha 1247 no novo: `return div.innerHTML;`). O diff não mostra a adição de escapeHtml no cost (já existia). Mas o well-being adiciona escapeHtml novo (linha 788) e cost mantém o escapeHtml anterior. `firstMeaningfulAnalysisText` é nova em ambos. E o helper não exporta essas funções. Isso viola o objetivo declarado da PR de reduzir duplicação. Reportar como médio/baixo. 2. **[médio] God controller**: O WellBeingAbsenceController (887 linhas) concentra orquestração + adaptação + regras de negócio e mensagens; a PR adiciona lógica de decisão (hasMeaningfulData, fallback) ali. Sugerir extração para service/read model. Reportar como médio (regra do usuário com maior peso). 3. **[médio/baixo] Dependência de jQuery do helper**: o helper `adriana-chart-analysis.js` usa jQuery e é um pré-requisito para que as análises funcionem; se jQuery não estiver presente, os módulos quebram... mas jQuery está nos layouts. Já que confirmamos que os templates usam os layouts Admin/User que carregam jQuery muito antes, e os módulos só chamam no DOMContentLoaded, o risco é baixo. Não reportarei. 4. **[médio] Falta de tratamento dos erros 400/403/404/409 separadamente** — comportamento não distinto, mas como o endpoint não valida CSRF e é padrão da área, vou avaliar se vale reportar. A regra do usuário: "Chamada AJAX que muta dado deve enviar o token CSRF e tratar erro 400/403/404/409 de forma distinta (não um handleAjaxError genérico que ignora o motivo)." O endpoint de IA não muta dados e as chamadas GET/POST dessa área não enviam CSRF (incluindo as antigas). Contudo, nas requisições de IA o payload é só leitura. Portanto, não vou reportar CSRF. Poderia reportar que as mensagens de erro são genéricas (mas têm mensagem específica do servidor). Vou ignorar. 5. **[importante] Um possível bug no `escapeHtml` para atributo data-question**: no well-being, o key inserido no atributo HTML `data-question="' + escapeHtml(key) + '"`. `escapeHtml` escapa < > & " corretamente, pois textContent/div.innerHTML converte `"` para `&quot;`? Na verdade, quando você define textContent = `"foo"` e lê innerHTML, o `"` dentro do texto de um div não é escapado para `&quot;`, pois aspas duplas são permitidas em textContent de elemento. Ex: `div.textContent = 'a"b'; div.innerHTML` retorna `a"b` — as aspas não são escapadas! Isso é um problema conhecido: `escapeHtml` baseado em textContent/innerHTML não escapa `"` e `'`. Ao injetar dentro de um atributo HTML delimitado por aspas duplas, um `"` no valor quebraria o atributo → XSS. Mas: os valores de `key` vêm do backend, que gera keys estáticas ('who-high-risk', etc.). Não são fornecidos pelo usuário. Os rótulos vêm do backend também (gerados por suggestedQuestions). Então, embora o escapeHtml não escape aspas, o risco de XSS depende de dados não confiáveis. Os rótulos são gerados pelo controller, embora possam conter nomes de áreas ou descrições vindas do banco (ex.: `$criticalAreas[0]['title']` etc.). Entretanto, essas strings são inseridas na mensagem 'final' e outras via innerHTML do loadInsights sem escape (pré-existente). Hmm. De qualquer forma, para os botões de pergunta, key e label são gerados pelo servidor (sugeridas), não é dado do usuário. Este problema de `escapeHtml` não escapar aspas também existe no helper, custo e produtividade. Mas a regra pede foco em bugs reais com impacto. Vou considerar reportar como baixa nota? Talvez não necessário; é um padrão comum da base de código. Contudo, uma vez que o diff *adiciona* o escape para o key dentro de atributo, e o escape é ineficaz para `"`, o código pode dar falsa sensação de segurança. Como o dado é controlado pelo servidor e não pelo usuário, o impacto real é baixo. Não vou reportar para evitar ruído (prioridade de precisão). 6. **[Possível bug de funcionalidade]**: No custo, o texto da pergunta enviada ao backend: `question: questionLabel + ' Responda de forma objetiva...'`. questionLabel = `button.textContent.trim()`. O button contém `<i class="fas fa-wand-magic-sparkles"></i> Onde estamos pagando...`. textContent inclui o texto. OK. 7. **A pergunta 'exit-risk' mapeia para chart-custo-produtividade** (custo x produtividade). Faz sentido para risco de saída? Possivelmente questionável, mas não é erro técnico. 8. **[Possível problema de regressão]**: no cost, `bindUiActions` é chamado no `init` (DOMContentLoaded). Mas as perguntas sugeridas (estáticas no Twig) — é possível que a página de custo seja usada dentro do bloco de outra tela onde `.pa-ca-dash` não esteja presente? Não, é a própria tela. Agora, há uma questão que merece atenção real: **contrato quebrado com backend** — O well-being agora envia requests para chart IDs como `chart-correlacao-bem-estar-ausencia`, etc. O backend (WelfareAbsenceService::getChartData) suporta. OK. O custo envia `chart-evolucao-custo-total` para o "Gerar Análise" (ANALYSIS_CHART_ID antigo, igual ao antigo código que usava AI_API_BASE com o módulo visao_geral_custos). Chart `chart-evolucao-custo-total` é suportado pelo CostOverviewService? O antigo requestAnalysis do custo já usava esse chartId com o mesmo módulo e funcionava. OK. As perguntas sugeridas do custo usam `chart-custo-produtividade` e `chart-composicao-custos`, suportados. OK. Então o backend suporta tudo. **Agora, um problema mais sutil do well-being: `AI_MODULE` = 'bem_estar_ausencia' e o chart 'chart-evolucao-faltas' usado para a análise do botão.** No service WelfareAbsenceService, `chart-evolucao-faltas` retorna a evolução de faltas. OK. Vamos agora pensar em **um possível problema de regressão no front do custo**: a função `requestAnalysis` removida — mas ainda é referenciada em algum lugar? Vamos pesquisar chamadas de requestAnalysis no cost.
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{"file_patterns": ["public/js/people-analytics/modules/cost-analysis-dashboard.js"], "search_text": "requestAnalysis|AI_API_BASE"}
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{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "API_BASE"}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 2
27|  const API_BASE = '/people-analytics/api/produtividade';
108|    const url = API_BASE + endpoint + buildQuery(filters);

Request #31 deepseek-v4-flash P:79.19K C:2.49K CR:79.1K CW:0 21629ms
Reasoning
Sem referências restantes de requestAnalysis / AI_API_BASE no cost. No produtividade, `API_BASE` é usado pelo fetchEndpoint (outro recurso). O antigo requestAnalysis usava API_BASE para o ai-analysis; novo código não usa API_BASE para isso (usa o helper). Sem referências pendentes. Agora, considere: no custo, o `fetchEndpoint` usa `API_BASE = '/people-analytics/api/cost-analysis'`. E o AI endpoint é `/people-analytics/api/visao_geral_custos/...`. Confuso mas pré-existente. O helper usa `module` = `visao_geral_custos`. OK. Vamos avaliar **o problema da resposta para o well-being `renderFinalQuestionResponse`**: `finalEl.innerHTML` injeta `<strong>${question}</strong>` — o `question` (label da pergunta) é escapado com escapeHtml. OK. Agora, **no well-being, há uma segunda possível fonte de problemas: `renderFinalQuestionResponse`** usa `document.querySelector('[data-wb-final-text]')` — no cost, análogo. Se existir múltiplos, sempre o primeiro. OK. Vamos verificar a **possível regressão de funcionalidade nas perguntas do well-being para alguns períodos**: o mapeamento FINAL_QUESTION_CHART_ID usa default `'chart-custo-ausencias-area'` caso o questionKey não seja mapeado. Isso produz uma pergunta sempre com dados (custo) mas com questão "Quem são os colaboradores..." para chart de custo — mas apenas se o backend emitir uma key desconhecida. As keys conhecidas. OK. Agora, **o que mais pode ser um bug real?** Vamos analisar a mudança do produtividade: o `bind` do helper só vincula botões com `.pa-prod-dash .pa-prod-analysis[data-analysis]`. O botão "prod-vs-ausencias" fica dentro de `.pa-prod-card`? Vamos confirmar que os 4 botões estão dentro do wrapper `.pa-prod-dash`. O template tem wrapper na linha 16 `<div class="zero-padding pa-prod-dash modern-layout" ...>` e os botões na linhas 157-323, que estão dentro do container (bloco container). OK. **Potencial problema: o botão da análise fica visível somente quando há dados (`setAnalysisVisible`)**, mas o helper bind é chamado em bindUiActions antes que os gráficos carreguem. Os botões estão no DOM mesmo quando ocultos (hidden). O bind funciona em elementos hidden. Clicar num hidden não é possível. OK. Vou também considerar se o helper `bind` é executado múltiplas vezes nos módulos (ex.: custo `bindUiActions` uma vez) — e quando novos gráficos aparecem via AJAX (paginados)? Os botões de análise são estáticos por card e não são recriados por paginação (apenas mostrados/ocultados). OK. Agora, consideremos **caso de uso: heatmap do produtividade**, tem botão de análise? O heatmap pode ter botão data-analysis "mapa-calor" com chartId? Vamos verificar se todos os botões data-analysis no template têm correspondência no ANALYSIS_CHART_ID do produtividade. Os 4 botões no template: 'produtividade-tempo', 'entregas-projeto', 'entregas-equipe', 'prod-vs-ausencias'. O ANALYSIS_CHART_ID (linhas 77-81) mapeia os quatro. OK. Vamos verificar se existe outro botão `.pa-prod-analysis` no produtividade que não tem map... A busca mostrou apenas 4. OK. Conclusão sobre regressões funcionais: parece que os módulos foram bem integrados. Os pontos de revisão mais concretos: A. **Helper duplicado/contrato `escapeHtml` em atributo data-question** (não necessariamente bug real). Vou deixar de fora. B. **Duplicação de código** (firstMeaningfulAnalysisText e escapeHtml duplicados entre cost e well-being; também cada módulo e helper define escapeHtml). Na verdade, o cost já tinha escapeHtml antes (não é novo). Mas `firstMeaningfulAnalysisText` é novo nos dois e é idêntico, e também o helper poderia expô-lo. Isso é um bom comentário de maintainability. Reportar. C. **God controller**: reportar (atenção/médio), dado o tamanho do controller e o padrão. D. **Expor `rawValue` no /custo-totais**: contrato aditivo OK. Não reportar. E. **Ausência de testes**: não há testes para a lógica nova no backend (hasMeaningfulData, suggestedQuestions condicional). As regras pedem "mudança de comportamento sem teste automatizado cobrindo o fluxo real é Atenção; em fluxo de autorização, dinheiro, exclusão ou estado é Crítico." Aqui não é dinheiro/estado crítico? É análise de custo com valores monetários e pergunta de redução de custo; mas não muta dados. Então uma sugestão de teste é Atenção. Vou considerar reportar teste como baixa? Talvez incluir no comentário sobre backend. F. **Possível problema de contrato: mensagem final no well-being vs old field**: A mudança faz `final` retornar a mensagem "Ainda não há dados suficientes..." quando não há dados; o front simplesmente renderiza. OK. G. **Backend: número de perguntas limitado a 3 e key mapping** — ok. H. **Um ponto real que merece atenção: o well-being envia para a IA o rótulo da pergunta como `question`, e a instrução "sem citar nomes de colaboradores"** — é texto estático. OK. I. **Verificação de permissões por empresa na rota ai-analysis**: PeopleAnalyticsApiController não chama `paPermissionService` — apenas adiciona `company_id` do contexto do usuário. Mas ele confia nos filtros enviados, normalizados. Os filtros enviados pelo front incluem apenas período + região? Precisamos confirmar se os filtros de permissão são aplicados nos endpoints de IA (para não vazar dados de outras áreas). O ChartAiAnalysisService analisa o chart com os filtros. Os filtros de empresa são adicionados. Porém, os endpoints de dados `/insights` usam `paPermissionService->applyPermissionFilters`. O endpoint de IA não usa. Isso é pré-existente (não introduzido pela PR) — o endpoint já existia. A PR apenas integra o front a ele. Hmm. A regra "isolamento por empresa" está na descrição do background. Vamos confirmar se o endpoint ai-analysis aplica permissões de área/departamento. Vamos verificar PeopleAnalyticsPermissionService e como os filtros são usados no produtividade/custos. Nesses dashboards há limitação por permissão aplicada no front (filtros selecionados). Não vou aprofundar porque é pré-existente, mas vale uma olhada rápida para não perder um problema real da PR (o novo módulo bem-estar/custo passa a enviar requisições a este endpoint de IA com filtros do dashboard, que podem não ser filtrados por permissão de área; enquanto os endpoints de dados do dashboard fazem applyPermissionFilters no server). Se os módulos de custo/bem-estar se baseiam no front para aplicar filtros de permissão... isso seria o mesmo padrão. Vamos verificar rapidamente se os controllers de custo/bem-estar aplicam permissões no server para os endpoints de dados (sim, o withData do well-being aplica). Para o endpoint de IA (PeopleAnalyticsApiController), não há applyPermissionFilters. Portanto, se um gestor com permissão restrita a uma área usa o dashboard, os endpoints de dados limitam os dados pela permissão, mas a requisição de IA para o chart passa somente `filters` (periodo etc.) e o service do chart busca dados completos sem aplicar restrições por área. Ou seja, a IA poderia "ver" (na análise) dados de áreas que o gestor não deveria acessar — vazamento potencial de informação via resposta da IA. Isso é relevante e potencialmente introduzido por esta PR (novas telas agora acionam a IA com filtros não filtrados por permissão). Contudo, essa preocupação também se aplica ao módulo de produtividade que já fazia análise IA? O antigo produtividade já usava o endpoint de IA? Sim, o antigo requestAnalysis do produtividade usava o mesmo endpoint. E o antigo custo também (requestAnalysis removido) usava o endpoint. Então, as análises de IA já existiam com esse comportamento no produtividade/custo (apenas o well-being é novo). Portanto, não é uma regressão introduzida, embora a PR amplie o alcance da IA para o well-being (novo módulo de IA? O well-being não tinha requestAnalysis de IA antes). Sim, o well-being é novo — o botão de análise da trajetória não tinha handler real (apenas console.info), e as perguntas sugeridas não faziam nada. Agora passam a chamar IA. Então para bem-estar/custo (custo já chamava antes) vale a pena verificar se os endpoints de dados do well-being aplicam permissões. Vimos que sim (`paPermissionService->applyPermissionFilters`). A pergunta de IA poderia expor insights de áreas fora da permissão do usuário se os filtros de permissão não forem aplicados pelo endpoint de IA. Vamos investigar `applyPermissionFilters` para entender como as permissões são modeladas (por área). E ver se `PeopleAnalyticsApiController::chartAiAnalysis` aplica permissões — não aplica. Vejamos o CostAnalysisController/outros controllers para comparar se eles aplicam permissões. E vejamos como o front coleta filtros — se o front envia filtros de área com permissão. Vamos ler as funções que montam os filtros (getFilters) e como currentFilters é definido no bem-estar.
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{"end_line": 120, "file_path": "public/js/people-analytics/modules/well-being-absence-dashboard.js", "start_line": 1}
File: public/js/people-analytics/modules/well-being-absence-dashboard.js (Total lines: 1019)
IS_TRUNCATED: false
LINE_RANGE: 1-120
1|/**
2| * People Analytics – Bem-estar e Ausência Dashboard
3| *
4| * Integração com o back-end em:
5| *   /people-analytics/api/well-being-absence/*
6| *
7| * Endpoints consumidos:
8| *  - GET /kpis                      → 5 KPIs (Taxa, Dias, Custo, Em risco, Áreas)
9| *  - GET /trajetoria-absenteismo    → 5 séries (Médica curta, longa, Justif, Não justif, Total)
10| *  - GET /cards-diagnostico         → 3 textos (Tendência, Evento, Posição)
11| *  - GET /composicao-tipo           → distribuição por regime
12| *  - GET /composicao-causa          → distribuição por CID agregado
13| *  - GET /sinais-burnout            → 4 mini KPIs
14| *  - GET /colaboradores-risco       → 4 barras (Alto, Médio, Baixo, Sem sinais)
15| *  - GET /componentes-custo         → tabela (Produtividade, Substituição, INSS, Turnover)
16| *  - GET /custo-totais              → 3 KPIs (Total, % na Folha, Principal Componente)
17| *  - GET /areas-criticas            → 3 cards (TI, Comercial Norte, Operações Manaus)
18| *  - GET /insights                  → executivo + insight risco + atenção custo + análise final
19| *
20| * Versão: 2026-06-16
21| */
22|(function () {
23|  'use strict';
24|
25|  // ====================================================================
26|  //  >>>>>>>>>>  MOCK FALLBACK  <<<<<<<<<<
27|  // ====================================================================
28|  const USE_MOCK_FALLBACK = false;
29|
30|  // ====================================================================
31|  //  >>>>>>>>>>  FORCE MOCK — widgets individuais  <<<<<<<<<<
32|  // ====================================================================
33|  const FORCE_MOCK = {
34|    kpis:                  false,
35|    trajetoriaAbsenteismo: false,
36|    cardsDiagnostico:      false,
37|    composicaoTipo:        false,
38|    composicaoCausa:       false,
39|    sinaisBurnout:         false,
40|    colaboradoresRisco:    false,
41|    componentesCusto:      false,
42|    custoTotais:           false,
43|    areasCriticas:         false,
44|    insights:              false,
45|  };
46|
47|  console.info('[WellBeingAbsence] dashboard carregado.',
48|    'USE_MOCK_FALLBACK =', USE_MOCK_FALLBACK,
49|    '| FORCE_MOCK =', FORCE_MOCK
50|  );
51|
52|  window.PeopleAnalytics = window.PeopleAnalytics || {};
53|
54|  // =====================================================================
55|  // CONFIG
56|  // =====================================================================
57|  const API_BASE = '/people-analytics/api/well-being-absence';
58|  const AI_MODULE = 'bem_estar_ausencia';
59|  const ANALYSIS_CHART_ID = {
60|    'wb-trajetoria-absenteismo': 'chart-evolucao-faltas',
61|  };
62|  const FINAL_QUESTION_CHART_ID = {
63|    'who-high-risk': 'chart-correlacao-bem-estar-ausencia',
64|    'cause-cost': 'chart-ausencias-motivo',
65|    'critical-area-plan': 'chart-bem-estar-area',
66|    'cost-reduction': 'chart-custo-ausencias-area',
67|  };
68|
69|  function resolveBrandColors() {
70|    const root = document.documentElement;
71|    const css = (name) => getComputedStyle(root).getPropertyValue(name).trim();
72|    return {
73|      teal:           css('--app-brand-primary-emphasis') || '#006B78',
74|      tealLine:       css('--app-brand-primary') || '#2EA8B5',
75|      orange:         '#F59E0B',
76|      red:            '#EF4444',
77|      grayDark:       '#2F343A',
78|      grayLine:       '#D9E1E5',
79|      text:           '#1F2933',
80|      text2:          '#6B7280',
81|      medicalShort:   '#F59E0B',
82|      medicalLong:    '#EF4444',
83|      justified:      '#2F343A',
84|      unjustified:    css('--company-theme1-300') || '#67E8F9',
85|      total:          css('--app-brand-primary') || '#14B8A6',
86|    };
87|  }
88|
89|  const COLORS = resolveBrandColors();
90|
91|  // =====================================================================
92|  // MOCK PAYLOADS
93|  // =====================================================================
94|  const MOCK = {
95|    kpis: [
96|      {
97|        key: 'absence-rate',
98|        title: 'Taxa de Absenteísmo',
99|        value: '4,2%',
100|        delta: '+0,8 pp no período',
101|        description: 'setor tech 3,1%',
102|        trendType: 'negative',
103|        trendIcon: 'fa-arrow-trend-up',
104|      },
105|      {
106|        key: 'absence-days',
107|        title: 'Dias-Ausência no Período',
108|        value: '4.832',
109|        delta: 'média de 10,5 dias por colaborador',
110|        description: '',
111|        trendType: 'neutral',
112|      },
113|      {
114|        key: 'monthly-cost',
115|        title: 'Custo Mensal do Absenteísmo',
116|        value: 'R$ 380K',
117|        delta: 'R$ 4,6M ao ano',
118|        description: '1,2% da folha anual',
119|        trendType: 'negative',
120|      },
code_search
Show Details
{"file_patterns": ["src/Service/PeopleAnalytics/PeopleAnalyticsPermissionService.php"], "search_text": "applyPermissionFilters"}
File: src/Service/PeopleAnalytics/PeopleAnalyticsPermissionService.php
Match lines: 1
139|    public function applyPermissionFilters(array $filters): array

Request #32 deepseek-v4-flash P:83.24K C:121 CR:81.66K CW:0 1809ms
Reasoning
Vou ler PeopleAnalyticsPermissionService::applyPermissionFilters para entender o que ele aplica (restrição por área/departamento).
Tool Calls (1)
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{"end_line": 240, "file_path": "src/Service/PeopleAnalytics/PeopleAnalyticsPermissionService.php", "start_line": 100}
File: src/Service/PeopleAnalytics/PeopleAnalyticsPermissionService.php (Total lines: 554)
IS_TRUNCATED: false
LINE_RANGE: 100-240
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)
Request #33 deepseek-v4-flash P:85.15K C:1.31K CR:83.33K CW:0 12091ms
Reasoning
Confirmo que os endpoints de dados do well-being (e custo) aplicam `applyPermissionFilters`, mas o endpoint de IA (`PeopleAnalyticsApiController::chartAiAnalysis`) não aplica. Então, para usuários com escopo "team", os dados exibidos nos gráficos do dashboard são limitados à equipe (via server), mas a análise IA chamada para os mesmos gráficos passa apenas os `currentFilters` do front (que não contém necessariamente o filtro de equipe), fazendo a IA analisar dados da empresa toda — e a resposta (summary, insights com números) pode revelar dados fora da permissão do usuário. Isso é um vazamento potencial de dados cross-team. É relevante porque esta PR ativa a IA no módulo bem-estar (novo) e amplia o uso nos outros. Também para produtividade/custos já chamavam a IA antes — mas agora a PR adiciona perguntas que podem gerar conteúdo que cita números agregados. Na prática, o problema é pré-existente na arquitetura do endpoint de IA. Mas dado que a regra de revisão específica (controller) menciona autorização negada por padrão e isolamento por empresa no background (bugfix/pa-adriana) — vamos confirmar se os filtros aplicados no front incluíam área/gestor. O dashboard global usa filtros globais e filtros de região... A questão é que o próprio serviço de dados dos controllers de People Analytics filtra por company id e por permissão. O endpoint de IA só adiciona company_id do userContext e não aplica paPermissionService. Vou confirmar como o módulo de custo/bem-estar obtém seus dados e como o front envia filtros; e se os gráficos (dos quais a IA extrai dados via chartResolver->service->getChartData) são limitados por permissão de área ou apenas company. Na verdade, WelfareAbsenceService::getChartData é chamado diretamente sem filtros de permissão... nos endpoints normais, o filtro de permissão vem no $filters via withData. Para a IA, os filtros são os do front + company_id. Sem o applyPermissionFilters, a IA enxerga a empresa toda (menos que o dashboard restrito). Então sim, há um risco real de "vazar" para a IA dados que o usuário restrito não deveria ver, embora o usuário não receba os dados crus, mas a IA pode responder perguntas específicas como "Quem são os colaboradores em risco alto?" — isso é do módulo que tem permissão. Hmm. Na verdade, esse fluxo de IA já era usado em produtividade/custo antes. A PR estende ao bem-estar. Dado o tempo, este é um risco real e significativo de isolamento por escopo/permissão, mas está fora do diff (endpoint pré-existente) — regras dizem: "Context tools are for gathering background information only. Your comments must address code within <review_files>". O endpoint ai-analysis não está nos arquivos revisados. A integração nova (nos arquivos revisados) faz POST com `getFilters` do front sem permissões aplicadas server-side. Comentário poderia ser: "As novas chamadas à IA usam filtros do frontend; para usuários com escopo de equipe, o endpoint de IA não aplica as restrições de permissão que os endpoints de dados aplicam. Confirme se o fluxo de IA respeita as mesmas restrições, pois respostas da Adriana podem incluir números de áreas fora da permissão do usuário." Isto é um comentário válido no arquivo JS revisado (nos módulos). Severidade média/alta. Mas antes de reportar, quero ter certeza de que os dashboards para usuários com restrição de escopo realmente existem (ou essa tela é só admin/manager). O template estende layoutAdmin quando user isSuperAdmin/isManager, senão layoutUser. Os módulos People Analytics provavelmente requerem permissão específica. Vamos verificar se o controller que renderiza a página PeopleAnalyticsController valida permissões e se os gestores com visão restrita podem acessar. A tela de produtividade/bem-estar podem ser acessadas por gestores com restrição de equipe. No PeopleAnalyticsController: '/{module}' etc. Vamos verificar a checagem de permissão para páginas. Porém, mesmo que não possamos confirmar que há usuários restritos usando essas telas, a existência do PeopleAnalyticsPermissionService com escopos self/team e do uso de applyPermissionFilters nos endpoints de dados sugere fortemente que essas páginas são acessíveis a perfis restritos. Portanto, vale reportar. Vou confirmar rapidamente como a página do PeopleAnalyticsController libera o acesso para os módulos (se exige papel). Busquemos por uso de paPermissionService no PeopleAnalyticsController.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["src/Controller/PeopleAnalyticsController.php"], "search_text": "Permission|paPermission|canView|manager|scope", "use_perl_regexp": true}
File: src/Controller/PeopleAnalyticsController.php
Match lines: 40
7|use App\Service\MemberPermissionService;
15|use App\Service\PeopleAnalytics\PeopleAnalyticsPermissionService;
18|use Doctrine\ORM\EntityManagerInterface;
38|        private EntityManagerInterface $em,
40|        private MemberPermissionService $permissionService,
42|        private PeopleAnalyticsPermissionService $paPermissionService,
56|        if (!$this->permissionService->canViewProduct(self::PRODUCT_SLUG)) {
62|        $permissionContext = $this->paPermissionService->getPermissionContext();
67|            'overviewModules' => $this->getOverviewModules($permissionContext, $overviewBadges),
68|            'permissionContext' => $permissionContext,
69|            'canAccessProjectionTab' => $this->canAccessProjectionTab($permissionContext),
82|        $permissionContext = $this->paPermissionService->getPermissionContext();
84|        // SISTEMA DE PERMISSÕES PARA MEMBROS (Super Admin e Manager têm acesso total)
85|        if ($user && !$user->isManager() && !$user->isSuperAdmin()) {
105|            if ($this->isSelfScope($permissionContext) && $module !== self::MEMBER_ONLY_MODULE) {
122|        $allFilters = $this->paPermissionService->filterAvailableFilters($allFilters);
128|        $isMemberPermission = false; // Indica se é um membro com permissão tipo "Membro"
131|            if ($this->isSelfScope($permissionContext)) {
133|                $isMemberPermission = true; // NOVO: Flag para ocultar outros elementos
134|                $selectedMemberId = $permissionContext['memberId'] ?? null;
138|                if ($requestedMemberId && !$this->paPermissionService->canViewMember((int) $requestedMemberId)) {
147|                $members = $this->paPermissionService->getAccessibleMembers();
180|            'is_member_permission' => $isMemberPermission ?? false, // NOVO: Flag para membros tipo "Membro"
181|            'permissionContext' => $permissionContext, // NOVO
194|        // if (!$this->permissionService->canViewProduct(self::PRODUCT_SLUG)) {
213|        $permissionContext = $this->paPermissionService->getPermissionContext();
220|        $filters = $this->paPermissionService->filterAvailableFilters($filters);
234|            'permissionContext' => $permissionContext, // NOVO
251|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
293|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
403|        $filters = $this->paPermissionService->applyPermissionFilters([
584|    private function getOverviewModules(array $permissionContext, array $overviewBadges): array
678|        return array_values(array_filter($overviewModules, function (array $module) use ($permissionContext): bool {
683|            return $this->canAccessModule($module['slug'], $permissionContext);
687|    private function canAccessModule(string $moduleSlug, array $permissionContext): bool
689|        if ($this->isSelfScope($permissionContext)) {
696|    private function canAccessProjectionTab(array $permissionContext): bool
698|        return !$this->isSelfScope($permissionContext);
701|    private function isSelfScope(array $permissionContext): bool
703|        return (bool)($permissionContext['restrictToSelf'] ?? false);

code_search
Show Details
{"file_patterns": ["src/Controller/Api/PeopleAnalytics/"], "search_text": "applyPermissionFilters|getSelectedCompany|csrf|isCsrfTokenValid", "use_perl_regexp": true}
Note: The results have been truncated. Only showing first 100 results.
File: src/Controller/Api/PeopleAnalytics/AdrianaRiskAlertChatController.php
Match lines: 6
13|use Symfony\Component\Security\Csrf\CsrfToken;
14|use Symfony\Component\Security\Csrf\CsrfTokenManagerInterface;
20|    public const CSRF_TOKEN_ID = 'adriana_risk_alert_context';
25|        private CsrfTokenManagerInterface $csrfTokenManager,
37|        $company = $this->userAccessService->getSelectedCompany();
55|        if (!$this->csrfTokenManager->isTokenValid(new CsrfToken(self::CSRF_TOKEN_ID, $token))) {

File: src/Controller/Api/PeopleAnalytics/AdrianaRiskIndicatorChatController.php
Match lines: 6
14|use Symfony\Component\Security\Csrf\CsrfToken;
15|use Symfony\Component\Security\Csrf\CsrfTokenManagerInterface;
20|    private const CSRF_TOKEN_ID = 'adriana_risk_indicator_context';
26|        private CsrfTokenManagerInterface $csrfTokenManager,
41|        $company = $this->userAccessService->getSelectedCompany();
59|        if (!$this->csrfTokenManager->isTokenValid(new CsrfToken(self::CSRF_TOKEN_ID, $token))) {

File: src/Controller/Api/PeopleAnalytics/AtracaoRetencaoController.php
Match lines: 4
61|        $company = $this->userAccess->getSelectedCompany();
76|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
117|        $company = $this->userAccess->getSelectedCompany();
132|            $filters = $this->paPermissionService->applyPermissionFilters($filters);

File: src/Controller/Api/PeopleAnalytics/AttractionRetentionController.php
Match lines: 2
234|        $company = $this->userAccess->getSelectedCompany();
244|            $filters = $this->paPermissionService->applyPermissionFilters($filters);

File: src/Controller/Api/PeopleAnalytics/ChurnRiskController.php
Match lines: 1
24|        $company = $this->userAccessService->getSelectedCompany();

File: src/Controller/Api/PeopleAnalytics/CostAnalysisController.php
Match lines: 2
138|        $company = $this->userAccess->getSelectedCompany();
148|            $filters = $this->paPermissionService->applyPermissionFilters($filters);

File: src/Controller/Api/PeopleAnalytics/CostOverviewController.php
Match lines: 4
60|        $company = $this->userAccess->getSelectedCompany();
72|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
128|        $company = $this->userAccess->getSelectedCompany();
140|            $filters = $this->paPermissionService->applyPermissionFilters($filters);

File: src/Controller/Api/PeopleAnalytics/CulturalRiskController.php
Match lines: 1
24|        $company = $this->userAccessService->getSelectedCompany();

File: src/Controller/Api/PeopleAnalytics/DiversidadeInclusaoController.php
Match lines: 2
53|        $company = $this->userAccess->getSelectedCompany();
101|        $filters = $this->paPermissionService->applyPermissionFilters($filters);

File: src/Controller/Api/PeopleAnalytics/DiversityInclusionController.php
Match lines: 2
609|        $company = $this->userAccess->getSelectedCompany();
615|            $filters = $this->paPermissionService->applyPermissionFilters($filters);

File: src/Controller/Api/PeopleAnalytics/EngagementController.php
Match lines: 2
764|        $company = $this->userAccess->getSelectedCompany();
773|            $filters = $this->paPermissionService->applyPermissionFilters(

File: src/Controller/Api/PeopleAnalytics/FeedbackOrganizationalController.php
Match lines: 2
120|        $company = $this->userAccess->getSelectedCompany();
130|            $filters = $this->paPermissionService->applyPermissionFilters($filters);

File: src/Controller/Api/PeopleAnalytics/HumanOperationalRiskController.php
Match lines: 1
24|        $company = $this->userAccess->getSelectedCompany();

File: src/Controller/Api/PeopleAnalytics/MemberAnalysisController.php
Match lines: 3
84|        $filters = $this->paPermissionService->applyPermissionFilters($filters);
101|        $company = $this->userAccess->getSelectedCompany();
485|        $company = $this->userAccess->getSelectedCompany();

File: src/Controller/Api/PeopleAnalytics/OperationalOverloadRiskController.php
Match lines: 1
25|            $company = $this->userAccessService->getSelectedCompany();

File: src/Controller/Api/PeopleAnalytics/OrganizationalHealthController.php
Match lines: 37
66|        $company = $this->userAccess->getSelectedCompany();
79|            $filters = $this->paPermissionService->applyPermissionFilters($filters); 
104|        $company = $this->userAccess->getSelectedCompany();
117|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
143|        $company = $this->userAccess->getSelectedCompany();
156|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
182|        $company = $this->userAccess->getSelectedCompany();
195|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
221|        $company = $this->userAccess->getSelectedCompany();
234|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
260|        $company = $this->userAccess->getSelectedCompany();
273|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
299|        $company = $this->userAccess->getSelectedCompany();
312|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
338|        $company = $this->userAccess->getSelectedCompany();
351|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
377|        $company = $this->userAccess->getSelectedCompany();
390|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
416|        $company = $this->userAccess->getSelectedCompany();
429|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
455|        $company = $this->userAccess->getSelectedCompany();
468|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
524|        $company = $this->userAccess->getSelectedCompany();
531|            $filters = $this->paPermissionService->applyPermissionFilters($request->query->all());
614|        $company = $this->userAccess->getSelectedCompany();
621|            $filters = $this->paPermissionService->applyPermissionFilters($request->query->all());
723|        $company = $this->userAccess->getSelectedCompany();
730|            $filters = $this->paPermissionService->applyPermissionFilters($request->query->all());
780|        $company = $this->userAccess->getSelectedCompany();
785|        $filters = $this->paPermissionService->applyPermissionFilters($request->query->all());
814|        $company = $this->userAccess->getSelectedCompany();
821|            $filters = $this->paPermissionService->applyPermissionFilters($request->query->all());
867|        $company = $this->userAccess->getSelectedCompany();
874|            $filters = $this->paPermissionService->applyPermissionFilters($request->query->all());
940|        $company = $this->userAccess->getSelectedCompany();
947|            $filters = $this->paPermissionService->applyPermissionFilters($request->query->all());
1110|        $company = $this->userAccess->getSelectedCompany();

File: src/Controller/Api/PeopleAnalytics/ProdutividadeController.php
Match lines: 14
78|        $filters = $this->paPermissionService->applyPermissionFilters($filters);
90|        $company = $this->userAccess->getSelectedCompany();
122|        $company = $this->userAccess->getSelectedCompany();
148|        $company = $this->userAccess->getSelectedCompany();
170|        $company = $this->userAccess->getSelectedCompany();
192|        $company = $this->userAccess->getSelectedCompany();
239|        $company = $this->userAccess->getSelectedCompany();
261|        $company = $this->userAccess->getSelectedCompany();
283|        $company = $this->userAccess->getSelectedCompany();
317|        $company = $this->userAccess->getSelectedCompany();
349|        $company = $this->userAccess->getSelectedCompany();
371|        $company = $this->userAccess->getSelectedCompany();
399|        $company = $this->userAccess->getSelectedCompany();
575|        $company = $this->userAccess->getSelectedCompany();

File: src/Controller/Api/PeopleAnalytics/ProjectionController.php
Match lines: 14
59|        $company = $this->userAccess->getSelectedCompany();
72|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
105|        $company = $this->userAccess->getSelectedCompany();
116|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
148|        $company = $this->userAccess->getSelectedCompany();
159|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
191|        $company = $this->userAccess->getSelectedCompany();
202|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
235|        $company = $this->userAccess->getSelectedCompany();
246|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
278|        $company = $this->userAccess->getSelectedCompany();
289|            $filters = $this->paPermissionService->applyPermissionFilters($filters);
336|        $company = $this->userAccess->getSelectedCompany();
351|            $filters = $this->paPermissionService->applyPermissionFilters($filters);

File: src/Controller/Api/PeopleAnalytics/SilentDisengagementRiskController.php
Match lines: 1
25|            $company = $this->userAccessService->getSelectedCompany();

File: src/Controller/Api/PeopleAnalytics/WelfareAbsenceController.php
Match lines: 6
39|        $company = $this->userAccess->getSelectedCompany();
47|        $filters = $this->paPermissionService->applyPermissionFilters($filters);
64|        $company = $this->userAccess->getSelectedCompany();
72|        $filters = $this->paPermissionService->applyPermissionFilters($filters);
92|        $company = $this->userAccess->getSelectedCompany();
291|        $company = $this->userAccess->getSelectedCompany();

File: src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php
Match lines: 2
103|        $company = $this->userAccess->getSelectedCompany();
113|            $filters = $this->paPermissionService->applyPermissionFilters($filters);

Request #34 deepseek-v4-flash P:89.9K C:1.15K CR:86.4K CW:0 11587ms
Reasoning
Agora fica claro: a área de People Analytics tem controle fino de permissões (escopos self/team/company). Os endpoints de dados aplicam `applyPermissionFilters`, e há controllers de IA que validam CSRF (AdrianaRiskAlertChatController etc.). O endpoint `PeopleAnalyticsApiController::chartAiAnalysis` não aplica `paPermissionService` nem usa company do userAccess (usa `userContext->getCompany()` que é provavelmente o mesmo). Isso é preocupante — mas novamente, o endpoint não foi alterado na PR. Contudo, o fluxo novo (bem-estar/custos agora mandando perguntas com `getFilters` = currentFilters do front) pode dar à IA acesso a dados mais amplos do que a permissão do usuário deveria permitir. Como o comentário precisa ficar dentro dos arquivos revisados, posso apontar nos arquivos JS (well-being/cost) que as chamadas de análise passam apenas os filtros atuais do frontend e que, para usuários com escopo restrito (equipe/self), o endpoint de IA analisa dados sem aplicar as mesmas restrições server-side que os endpoints de dados usam (applyPermissionFilters), o que pode expor na resposta números de áreas fora da permissão. Sugerir confirmar que o backend do endpoint ai-analysis aplique as mesmas restrições de permissão (ou enviar os filtros de permissão do contexto). Espera — vou confirmar que os filtros frontend não incluem o filtro de equipe do servidor. O módulo usa currentFilters globais que vêm dos filtros UI. Vamos verificar como os dashboards de bem-estar/custo carregam currentFilters e se há alguma variável com o contexto de permissão enviado ao front (ex.: data attributes) para restringir. Porém, mesmo que o front enviasse um filtro de equipe opcional, um usuário poderia omiti-lo para a IA (endpoint não aplica restrição). Como applyPermissionFilters força server-side, a ausência dele no endpoint de IA é uma falha de isolamento real. Mas eu preciso ponderar: este é um problema pré-existente do endpoint (PeopleAnalyticsApiController), não introduzido por esta PR; mas a PR **ativa novas chamadas** para esse endpoint a partir de módulos com permissões restritas (bem-estar era acessível a gestores com escopo de equipe? canAccessModule restringe módulos para self scope; mas escopo team ainda pode acessar alguns módulos). A produtividade/custo já usavam IA antes com o mesmo risco. Então não é uma regressão introduzida. Mas é relevante para o recurso que está sendo integrado (perguntas de custo/bem-estar). A regra de revisão diz para focar em issues nas mudanças. A integração nova de well-being à IA cria o mesmo risco para uma tela que antes não chamava IA. Vou considerar se deve reportar. O impacto: dados de custo por área etc., sem filtração por equipe. Mas o próprio endpoint de IA já usava company_id. Para escopo team, a resposta pode incluir insights de outras equipes, vazando métricas agregadas (custo, taxa) de outras áreas. É um problema de segurança/dados plausível e real, dado o sistema de permissões desta área. Vou reportá-lo como de média severidade nos arquivos JS do módulo (well-being e custo) ou no helper (adriana-chart-analysis.js). O mais adequado é comentar no helper/requestFinalQuestionAnalysis: as requisições não incluem restrições de permissão de escopo. Hmm, mas essa observação é sobre um comportamento server-side pré-existente do endpoint. O problema não pode ser corrigido no frontend (não se pode confiar no cliente). Então, apontar no front é meio inútil; a correção seria no backend, que está fora do diff. As regras de escopo dizem: "Context tools are for gathering background information only. Your comments must address code within <review_files>". Posso comentar no código JS revisado, sinalizando que essa integração depende de o endpoint aplicar permissões e que isso deve ser confirmado/garantido no backend. Vou reportar como aviso (média/alta) uma vez. Deixe-me também revisar se PeopleAnalyticsController permite que gestores com escopo team acessem os módulos bem_estar_ausencia / visao_geral_custos. canAccessModule - precisa ver. Vamos ler PeopleAnalyticsController ao redor de linhas 84-160 para entender quais módulos são acessíveis para escopos team/self.
Tool Calls (1)
file_read
Show Details
{"end_line": 190, "file_path": "src/Controller/PeopleAnalyticsController.php", "start_line": 75}
File: src/Controller/PeopleAnalyticsController.php (Total lines: 799)
IS_TRUNCATED: false
LINE_RANGE: 75-190
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')]
Request #35 deepseek-v4-flash P:92.9K C:3.7K CR:91.01K CW:0 31923ms
Reasoning
OK. Membros sem papel manager/superadmin com escopo team podem acessar estes módulos (bem_estar_ausencia, visao_geral_custos). Os endpoints de dados aplicam applyPermissionFilters (escopo team → forçam gestor-equipe). Mas o endpoint de IA não. Então a IA pode analisar dados além do escopo. Confirmamos que o dashboard JS envia currentFilters (que não contém o filtro forçado de equipe; o filtro de equipe é aplicado server-side). A IA usa company_id mas não equipe. Então a resposta da IA pode citar dados (números, categorias) de toda a empresa — mas será que a resposta inclui valores que revelem dados fora do escopo do gestor? Sim, se a pergunta for ampla. Portanto, é um achado de segurança razoável. Vou reportar como médio/alto nos arquivos JS revisados — mas a correção deve estar no backend (PeopleAnalyticsApiController/ChartAiAnalysisService) que está fora dos arquivos da PR. Ao comentar, esclarecer que deve ser confirmada a aplicação das mesmas restrições no endpoint de IA, senão gestores de equipe recebem análises com dados de outras equipes/áreas — vazamento de informação (folha de pagamento, custos, risco). Vou incluir esse comentário no arquivo `well-being-absence-dashboard.js` ou `cost-analysis-dashboard.js` (ou no helper) — melhor no helper, já que é o ponto único de request de IA; mas o helper é novo. Ou em ambos? Melhor apontar uma vez no helper `requestAnalysis`. Na verdade, apontar no helper `adriana-chart-analysis.js` requestAnalysis é o lugar central para as novas requisições. Mas as perguntas finais (requestFinalQuestionAnalysis) são nos módulos. Todos passam por `PeopleAnalytics.AdrianaChartAnalysis.request`. Então um comentário no helper cobre todas as chamadas. Vou também verificar se o UserContext->getCompany() usado no endpoint de IA é a empresa selecionada (mesmo que o usuário tenha várias empresas), para garantir que não analise outra empresa. Isso é OK. Vou preparar os comentários finais. Decisões de comentários: 1. [security][high/medium] No helper `requestAnalysis`: para usuários com escopo de equipe (People Analytics tem escopo self/team/company), os endpoints de dados do módulo aplicam `applyPermissionFilters` no servidor, mas a rota `/people-analytics/api/{module}/chart/{chartId}/ai-analysis` usada aqui só recebe os filtros do frontend (período etc.) + company_id — sem as restrições de escopo. Na prática, um gestor com visão só da equipe pode pedir análise e a IA pode devolver números/insights de outras equipes ou da empresa inteira (custos, folha, risco), que não deveriam estar visíveis. Como a correção fica no backend (aplicar as mesmas restrições no endpoint de IA, no PeopleAnalyticsApiController), confirmar que isso é garantido antes de ativar o recurso. Severidade alta (vazamento de dados potencial). O comentário deve estar ancorado nas linhas novas do helper (requestAnalysis função). Hmm — devo marcar como "security" e "high". Porém preciso considerar: será que realmente o backend não aplica nenhuma restrição? Confirmamos o PeopleAnalyticsApiController não usa paPermissionService. Vamos ler o ChartAiAnalysisService analisar chart com company_id no payload, mas os dados do chart são buscados por getChartData do service com os filtros (não filtrado por escopo). Os endpoints de dados do WellBeingAbsenceController também chamam os mesmos serviços de gráficos, mas depois de aplicar applyPermissionFilters. Portanto, sem isso no fluxo IA, há desvio de permissão. É um achado forte mas do lado do backend fora do diff; mesmo assim o PR cria/expande os consumidores. Vou reportar com cautela e severidade média-alta, mas linguagem de confirmação. 2. [maintainability][medium] Duplicação das funções `escapeHtml` + `firstMeaningfulAnalysisText` em cost e well-being — poderiam ser exportadas pelo helper. Comentar no well-being (as funções são adicionadas na PR lá; no cost escapeHtml já existia, mas firstMeaningfulAnalysisText é novo). Talvez comentar no cost e well-being? Melhor um comentário no well-being e outro no cost? Para evitar spam, um único comentário pode ser suficiente no helper, mas o helper não contém essas funções. Vou colocar no well-being (onde ambas são novas) e mencionar que idênticas ao cost e ao helper. Na verdade as regras de revisão por arquivo: o comentário precisa ser aplicado ao arquivo onde está o problema. O problema é duplicação entre cost e well-being; posso reportar no well-being (funções recém-adicionadas idênticas ao cost) — categoria maintainability, severidade baixa/média. 3. [maintainability][medium] God controller do well-being: adiciona lógica de negócio (mensagens, cálculo) no controller que já tem 887 linhas misturando orquestração com regras. Comentar no PHP (WellBeingAbsenceController) — sugerir extrair para serviço. Categoria maintainability. Severidade média? A regra do usuário diz que é o achado mais importante para controllers. Reportar medium. 4. [test] Ausência de teste automatizado para a lógica de dados insuficientes/hasMeaningfulData no controller. As regras dizem que mudanças de comportamento sem teste são Atenção. Poderia combinar com o comentário do PHP (god controller) ou um teste separado. Reportar como baixa/média no PHP. 5. [bug][medium] O well-being envia `rawValue` somente no adaptCostTotals; mas em `adaptInsights` para `hasMeaningfulData` usamos `$cost['total']['rawValue']`; tudo bem. OK não reportar. 6. [possible bug] `.finally` no helper e nos módulos. Em browsers modernos `Promise.prototype.finally` existe. OK. 7. Outro possível achado: No well-being, o requestFinalQuestionAnalysis em caso de análise sem texto (text vazio) → mostra mensagem. OK. 8. **Possível problema: quando o usuário troca de período (filtro), os botões de pergunta sugerida são recriados; mas se uma requisição de pergunta estiver em andamento e o botão for substituído pelo innerHTML no loadInsights (recriação dos botões), a `.finally()` tenta `button.innerHTML = originalHtml` num botão removido do DOM — sem erro. OK. 9. **Duplicação de responsabilidades: cost e well-being reimplementam requestFinalQuestionAnalysis quase idêntico** (só muda chartId default e instrução de pergunta e elemento final). Isso também é duplicação a sinalizar; mas dado o helper compartilhado, essa lógica poderia ser movida. Reportar junto com a duplicação #2? Eles também são novos. Vou citar na mesma nota. Vamos também considerar reportar que as novas mensagens mostram o erro bruto vindo do servidor ("response.error"), que pode vazar detalhes do sistema, mas é escapeHtml'd. Baixo. Outro possível problema no PHP: `rawValue` exposto no JSON `/custo-totais` é um número em float com casas decimais — não quebra. Uma coisa: `$hasMeaningfulData` usa `$risk['high'] + $risk['medium'] > 0`, mas `riskDistribution` provavelmente retorna keys 'high','medium','low','none'. Se dados vazios, essas contagens serão 0 → meaningful false. OK. Outro possível bug: Quando não há dados, o well-being **ainda mostra as perguntas sugeridas**? Se hasMeaningfulData false, suggestedQuestions retorna [] (nenhuma condição atendida) → sem perguntas. OK. Vamos verificar se existe a possibilidade de que, com dados zero, `questions` retorne vazio mas o front exiba o "Carregando perguntas…" para sempre? Não, o innerHTML é substituído por ''; o botão/lista vazia. Visual ok (o bloco de perguntas fica sem itens). Não é um bug crítico. Deixe-me confirmar o `riskDistribution` e `criticalAreaRows` retornam formas esperadas. Os valores das variáveis do risk já usadas no adaptAtRisk (high, medium etc.). OK. Agora, vamos pensar se existe algum problema na mudança do `suggestedQuestions` condição: `(float)($cost['total']['rawValue'] ?? 0) > 0`. Antes era `($cost['total']['value'] ?? '') !== ''`. O 'value' agora é sempre 'R$ 0' quando total = 0 (não vazio) — então a condição antiga adicionaria a pergunta 'cost-reduction' mesmo com custo zero (porque 'R$ 0' !== ''), o que era um bug que a PR corrige. OK, mudança benéfica. Bom. Agora sobre o **controller god**, note que os métodos são "adapt*" mas todos no controller; sim. Vamos também verificar se há **testes existentes** para o controller? Não necessário; mas mencionar ausência no comentário. Vamos agora definir as posições dos comentários com trechos de código exatos das linhas novas: Helper adriana-chart-analysis.js, função requestAnalysis: ``` data: JSON.stringify({ filters: filters || {}, question: question, }), ``` Ancorar o comentário de segurança nesse bloco. existing_code precisa estar no diff (linhas adicionadas). Vou pegar as linhas exatas do arquivo novo: ``` $.ajax({ url: `/people-analytics/api/${encodeURIComponent(module)}/chart/${encodeURIComponent(chartId)}/ai-analysis`, ``` Essas linhas estão no diff (novo arquivo). OK. Bem: o comentário sobre permissões: ancoro nas linhas: ``` data: JSON.stringify({ filters: filters || {}, question: question, }), ``` Módulo well-being (duplicação + arquivo grande?). O well-being JS já tem ~1019 linhas; a PR adicionou ~70 linhas. A regra do usuário para JS diz "Lógica duplicada/arquivo já grande — maior peso. Lógica de tratamento de erro/loading/notificação duplicada entre módulos deve ser extraída para helper". Aqui a duplicação das funções novas (escapeHtml, firstMeaningfulAnalysisText, renderFinalQuestionResponse, requestFinalQuestionAnalysis quase idênticos em cost e well-being). Ancorar no well-being nas linhas de firstMeaningfulAnalysisText/escapeHtml. Também é possível comentar no cost. Vou reportar um único comentário no well-being (onde ambas as funções são novas) e mencionar que também existe em cost, sugerindo mover para o helper (que exportaria). Controller PHP (WellBeingAbsenceController): god controller e falta de teste. Ancorar na linha de `$hasMeaningfulData`: ``` $hasMeaningfulData = $costTotal > 0 || $mainCause !== null || count($criticalAreas) > 0 || ($risk['high'] + $risk['medium']) > 0; ``` Reportar maintainability médio (responsabilidade no controller) + teste (mencionar no mesmo comentário ou separado). Vou fazer um comentário de controller com sugestão de teste? A descrição pede concisão; vou fazer um comentário de maintainability (god controller) e um low de teste. Agora, considero também reportar: - [low] `escapeHtml` não escapa aspas para uso em atributo `data-question` (well-being linha 872). O valor vem do backend (chaves conhecidas), então baixo risco. Mas como a intenção do diff era adicionar proteção XSS e ela é parcialmente inócua para aspas, seria honesto apontar que escapeHtml não protege contexto de atributo. Contudo, keys são controladas; eu poderia omitir para evitar ruído. Vou omitir por precisão. Vou considerar ainda reportar [low] sobre `window.setButtonLoading`/`notify` não usarem o helper global `showToast` — mas as mensagens de erro agora vão para o painel, sem toast. A regra diz feedback usa showToast; porém neste fluxo não há showToast usado e há toastr antes. Mas isso é aceitável no contexto de inline. Não reportar. Agora, sobre **implicações de jQuery**: não reportar (garantido nos layouts). Sobre **ordem de carregamento / dependência do helper**: A PR adiciona o helper nos três templates na ordem correta (helper antes do módulo). E a guard `if (window.PeopleAnalytics...)` existe. Mas, se o helper falhar por qualquer motivo, as análises somem (sem handler). Baixo. Sobre **problemas de XSS** nos módulos JS: new renderAnalysis / final text usam escapeHtml. OK. Vou também reler o helper quanto a algo que pode quebrar no custo: no custo, os botões de análise agora são tratados pelo helper, que faz `requestAnalysis(config, chartId)` com `question` default. `config.getQuestion` não definido; usa `options.question` — OK. Hmm, outra verificação de consistência: no cost, o antigo requestAnalysis consultava `AI_API_BASE` = '/people-analytics/api/visao_geral_custos' para o botão ca-trajetoria-folha → módulo visao_geral_custos/chart/chart-evolucao-custo-total. O novo helper usa module AI_MODULE (visao_geral_custos) idêntico. OK. Vamos confirmar que no produtividade o `chart-evolucao-faltas` etc. são do service produtividade (para o heatmap?) — o heatmap tem botão? Não há botão para heatmap no template. OK. Vamos agora checar se nos templates, os botões `.pa-prod-analysis` dentro do produtividade têm `.pa-prod-analysis__label`, enquanto o helper usa fallback para o primeiro span. No template de produtividade linha 159: `<span class="pa-prod-analysis__label">Gerar Análise</span>`. OK. Agora vou confirmar a presença de **um possível problema no custo: os botões "Gerar Análise" duplicados no bind**, o segundo loop pula somente os mapeados com data-analysis em ANALYSIS_CHART_ID. Existem outros elementos `.pa-prod-analysis` no custo sem data-analysis mapeado (por exemplo, nas outras seções do dashboard: mapa de custos, composição, etc.)? A busca por data-analysis no custo template retornou apenas a linha 186. Mas a busca de "pa-prod-analysis" no custo retornou também a linha 186 e outras? Vamos verificar que o custo não tem outros botões .pa-prod-analysis não mapeados (que antes seriam apenas log). Vou pesquisar no template do custo por 'pa-prod-analysis'.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["templates/people_analytics/cost_analysis_dashboard.html.twig"], "search_text": "pa-prod-analysis|data-analysis=", "use_perl_regexp": true}
File: templates/people_analytics/cost_analysis_dashboard.html.twig
Match lines: 3
186|				<button type="button" class="pa-prod-analysis" data-analysis="ca-trajetoria-folha">
187|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
188|					<span class="pa-prod-analysis__label">Gerar Análise</span>

code_search
Show Details
{"file_patterns": ["templates/people_analytics/well_being_absence_dashboard.html.twig"], "search_text": "data-analysis="}
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 #36 deepseek-v4-flash P:96.77K C:6.08K CR:96.51K CW:0 49611ms
Reasoning
Não há outros botões de análise no custo/well-being. O custo template tem apenas o botão ca-trajetoria-folha. Perguntas sugeridas com classe pa-ar-suggested-question (data-question) e corr cards (pa-ar-corr-card__btn) que têm data-question? No custo, os cards de correlação `.pa-ar-corr-card__btn` possuem data-question. O loop no custo inclui `.pa-ar-corr-card__btn` e apenas loga caso não seja `pa-ar-suggested-question`. Então o click em corr card é apenas log (pré-existente), mas antes do PR... vamos comparar: antes, o loop tratava corr cards também com apenas log. OK, sem mudança. Agora uma reflexão: o custo mapeia `'exit-risk': 'chart-custo-produtividade'`. O botão estático "Quais ações reduzem risco de saída?" → usa custo x produtividade — faz sentido. Vamos ler também o diff do PHP para confirmar que a mudança da rota/condição está de acordo com o que o front usa. As perguntas do backend para o well-being agora podem conter até 3; as keys. OK. Agora prepare os comentários: Comentário 1 — Segurança no helper adriana-chart-analysis.js (permissões/escopo). Categoria security, severidade high? Como o endpoint que falha está fora do diff, mas o impacto é vazamento de dados para gestores restritos. Vou colocar severity "high" com linguagem de "confirmar". Hmm. As diretrizes do usuário enfatizam precisão. Este problema é real do fluxo, embora o backend seja o local de correção. Considerando que o front não pode consertar, marcar o comentário no JS com clareza dizendo que a garantia precisa existir no backend. Vou usar medium (porque a correção é backend fora do diff e pode já haver outro controle em produção; ainda assim a falta de applyPermissionFilters na rota é clara). Melhor high por ser segurança? Vou usar "high" e categoria "security", pois é um potencial de exposição de dados (folha de pagamento/custo) e o sistema possui controles de escopo em todos os endpoints de dados. Espera, devo confirmar que o endpoint de IA realmente não aplica nenhum filtro de permissão adicional no ChartResolver/services. ChartResolver apenas usa filtros enviados + company_id. E o ChartAiAnalysisService analisa. Confirmado. Porém, para ser justo: a página exige que o usuário tenha acesso ao produto People Analytics. Gestores com escopo team (não manager/superadmin) podem acessar o módulo? A rota exige canViewProduct? module() só bloqueia self scope. Team scope acessível. Portanto, gestores de equipe com acesso à área podem chamar a IA e receber análises sobre a empresa toda (módulo não filtrado). Por exemplo, a pergunta "Quais ações reduzem risco de saída?" mapeada ao chart-custo-produtividade pode trazer números de custo de toda a empresa. OK, reportar. Comentário 2 — Duplicação firstMeaningfulAnalysisText / escapeHtml / requestFinalQuestionResponse em well-being e cost (deveriam vir do helper). Categoria maintainability, severidade low/medium. Comentário 3 — Controller god (WellBeingAbsenceController): regra do usuário com peso maior. Categoria maintainability, medium. Comentário 4 — Testes (ausência de teste para a nova lógica de dados insuficientes). Categoria test, low/medium. Poderia combinar com #3. Vou combinar com #3 num só comentário para não poluir: "controller já extenso e a lógica de fallback/hasMeaningfulData não tem cobertura de teste". Talvez melhor manter separado? Um comentário de maintainability com sugestão de teste também seria ok. Vou fazer dois comentários (um medium maintainability god; um low test sugerindo cobertura para a lógica condicional). Na verdade, na regra de formato, cada comentário é individual. Comentário 5 — Possível problema: `finalEl.innerHTML = ...` no well-being para a resposta da IA é escapado (OK). Não reportar. Vou também pensar se deveria reportar sobre **mudança silenciosa no comportamento das perguntas sugeridas do cost**: cost antes não tinha nenhuma ação; agora ao clicar nas perguntas, gera chamada IA. Mas o template cost já exibia as perguntas sugeridas? Sim, estáticas, mas o handler antes apenas logava. Então a PR adiciona a funcionalidade. OK. Agora, sobre o ponto 5 do plano (CSRF), vou verificar se há padrão de envio CSRF em outras chamadas POST na área (AdrianaRiskAlert... tem CSRF token) — mas aqueles são outros controllers dedicados com tokens próprios. O endpoint ai-analysis (PeopleAnalyticsApiController) não valida CSRF, e as requisições antigas (produtividade/custo) também não enviavam. Deixo sem comentário. Vou checar um detalhe no helper: é um plugin jQuery para IIFE `(function ($) {...})(jQuery);` — boa prática: se `window.jQuery` indisponível lança TypeError. Mas já verificado presente. Um problema potencial REAL e específico: **Templates carregam o helper e módulos em `block javascripts`, mas os módulos (cost etc.) são invocados via `window.PeopleAnalytics...init()` dentro de DOMContentLoaded. Porém o custo módulo usa jQuery `$`? Não, custo módulo usa fetch, mas `bind` no helper usa `$(selector).each`. O custo module chama `AdrianaChartAnalysis.bind`, que usa jQuery. jQuery disponível. OK. Deixa-me verificar algo sobre **o uso de `$` no template custo linha 601**: `$('[data-toggle="tooltip"]')` — sim, jQuery disponível. OK. Agora, será que existem **dashboards em outras telas (fora do review) que também usam os módulos** (ex.: print-report ou a versão "attraction-retention-dashboard") que esperam função? Não. Finalmente, verificar se o arquivo novo adriana-chart-analysis.js é usado apenas nos três templates — se algum outro template (attraction retention) usa `pa-prod-analysis` com data-analysis e espera o handler antigo... As buscas mostraram apenas produtividade/custos/wellbeing templates têm botões. Não há problema. Vou também conferir se nos outros dashboards que também usam estes módulos com análise — o diff mostra apenas três templates alterados para incluir o helper; se algum outro template de People Analytics usa esses módulos JS sem o helper, o botão de análise quebra. A integração do helper está apenas nos três templates correspondentes. Por exemplo, o template padrão `module_detail.html.twig` usado pelos outros módulos também pode ter `pa-prod-analysis[data-analysis]`? A busca por data-analysis em templates people_analytics retornou apenas os três. Vamos confirmar rapidamente que não há mais botões data-analysis noutros módulos que dependam de handler antigo removido. Mas o remover handler antigo foi nos três módulos JS; estes são usados apenas em suas páginas. OK. Um último ponto: no produtividade, o botão que antes usava `[data-analysis]` com requestAnalysis -> agora helper bind em `.pa-prod-dash`. Antes, qualquer botão [data-analysis] na página era clicável; hoje apenas os do container e com map. Todos os 4 map de análise têm chartId. OK. Bom, vamos também verificar se algum outro arquivo JS (ex.: print-report) contém handlers para data-analysis que possam duplicar com o helper e causar chamadas duplicadas. Não é relevante. Vou agora também olhar o diff do Twig para validar a localização dos comentários de template: os templates só adicionam a linha do helper; sem comentário. Hora de produzir os comentários code_comment. Vou ancorar com trechos de código que correspondam exatamente a linhas novas no diff. Comentário 1 (helper, security): existing_code (linhas no arquivo novo): ``` data: JSON.stringify({ filters: filters || {}, question: question, }), ``` Conteúdo: "Essas novas requisições de IA enviam apenas os filtros escolhidos na tela e o endpoint por trás (PeopleAnalyticsApiController) não aplica as restrições de escopo que os demais endpoints de People Analytics usam (applyPermissionFilters). Para um gestor com visão restrita à própria equipe, o gráfico na tela é filtrado, mas a análise da Adriana pode responder com números de custo/folha/risco da empresa inteira, vazando dados fora da permissão. Como o frontend não pode garantir isso, é preciso garantir no backend do endpoint de IA as mesmas restrições por escopo antes de ativar essas análises, ou restringir o recurso a perfis com escopo companhia." Comentário 2 (well-being, maintainability — duplicação): existing_code: ``` function firstMeaningfulAnalysisText(analysis) { if (!analysis) return ''; if (analysis.summary) return analysis.summary; ``` Conteúdo: "Estas funções (escapeHtml, firstMeaningfulAnalysisText e o fluxo requestFinalQuestionAnalysis/renderFinalQuestionResponse) foram copiadas quase idênticas entre este módulo e o cost-analysis-dashboard.js, apesar de a própria PR criar o helper compartilhado adriana-chart-analysis.js. Isso duplica o contrato de parsing da resposta da IA em dois lugares; se o formato do backend mudar, é fácil corrigir em um e esquecer no outro. Sugiro exportar essas utilidades (primeiro texto útil e escape) pelo PeopleAnalytics.AdrianaChartAnalysis e usá-las nos dois módulos." Comentário 3 (PHP, maintainability — controller grande): existing_code: ``` $hasMeaningfulData = $costTotal > 0 || $mainCause !== null || count($criticalAreas) > 0 || ($risk['high'] + $risk['medium']) > 0; ``` Conteúdo: "Este controller já tem quase 900 linhas e concentra orquestração HTTP, adaptação de payloads e a própria redação dos textos/insights (vários métodos adapt*/risk*/critical*). Esta PR adiciona mais decisão de negócio no mesmo lugar (hasMeaningfulData, mensagem de fallback e nova condição em suggestedQuestions). Aumentar esse padrão mantém a dificuldade de testar isoladamente; o ideal é mover a montagem desses insights e perguntas para um serviço/query dedicado, deixando o controller só como orquestrador. Além disso, essa nova lógica de dados insuficientes não tem teste automatizado cobrindo o fluxo real (/insights com recorte vazio vs. com dados)." Talvez separar teste do god? Vou fazer o comentário 3 apenas sobre god + sugestão de extração; e um comentário 4 baixo sobre teste na linha final do fallback. Hmm, mas comentários demais poluem. Vou incluir ambos no comentário 3, mas o usuário sugeriu clareza estruturada. Vou dividir em dois comentários? As regras de controller user-specifics: comentar teste em fluxo de dinheiro/estado é crítico; aqui fluxo de análise de custo. Vou criar comentário de teste separado (categoria test, low) ancorado na linha da condição final? Não é necessário. Mantenho apenas god + menção rápida de cobertura. Na verdade, devo ser mais rigoroso: fazer o comentário de god controller (médio) é importante. Comentar teste separadamente como baixo é razoável. Para não sobrecarregar, vou combinar com menção breve. Comentário 4 (opcional) — caso a duplicação do requestFinalQuestionAnalysis seja também reportada no cost? Um comentário no well-being mencionando cost já basta; as regras dizem para revisar cada arquivo. Vou também colocar um comentário equivalente no cost? Isso duplicaria. Vou só mencionar ambos. Talvez reportar no cost também como apontamento de duplicação? Não. Um comentário já basta. Hmm, mas o plano de revisão indica o issue 6 como low e quer o apontamento. Vou reportar como low no well-being, e no cost ancorar outro comentário? Prefiro um único comentário (evita duplicação). Para cumprir "revisar cada arquivo individualmente", não preciso comentar em cada arquivo se não há problemas. Vou verificar de novo o cost para algo que mereça comentário específico, diferente do que já foi dito: No cost: `const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-evolucao-custo-total';`. As três perguntas do template estão mapeadas; se alguma outra pergunta for adicionada no template sem mapeamento, cairia em chart-evolucao-custo-total, mas sem quebra. Uma coisa: no cost, o texto do rótulo da pergunta é exibido no final; e o próprio rótulo pode ser um nome de pergunta. OK. Algo que pode ser um bug real: no cost, a `requestFinalQuestionAnalysis` envia `question: questionLabel + ' Responda de forma objetiva, usando apenas os dados de custos disponíveis.'`. Mas `questionLabel = button.textContent.trim()`. O button contém o `<i>` com o texto do ícone? `fas fa-wand-magic-sparkles` tem CSS content? textContent retorna texto vazio para i, mais o texto. OK. No well-being, os rótulos das perguntas vêm do backend; o texto final no `finalEl.innerHTML = '<strong>...'` usa questionLabel escape. OK. Vamos revisar um possível bug no well-being: quando a análise das perguntas sugeridas falha, o `finalEl.textContent` é substituído por mensagem de erro, e o usuário perde o texto de "leitura executiva" original. Comportamento ok. Vou agora examinar se o cost `finalEl` também é atualizado em loadInsights periodicamente, e o requestFinalQuestionAnalysis lê o finalEl a cada click; sim. Considerações finais: Número de comentários: 1. Segurança helper (high) 2. Duplicação well-being (low) 3. God controller (medium) + nota teste 4. Talvez apontar também no cost a mesma duplicação (a nota já menciona cost). OK. Hmm, será que vale um comentário sobre o bem-estar "As perguntas sugeridas eram dinâmicas e agora o fluxo mudou: se a IA falhar ou não houver dados, o painel de perguntas fica sem feedback" — não. Vou verificar mais uma vez se existe um bug com **prefixo de template / turma**: na verdade há outro detalhe: no well-being, o botão da trajetória (`wb-trajetoria-absenteismo`) foi vinculado ao helper com chartId chart-evolucao-faltas. Mas o well-being também tem outros gráficos (por exemplo, "Composição das Ausências", "Sinais de Burnout", "Colaboradores em Risco", "Componentes de Custo") que não têm botões de análise? A busca no template só encontrou um `.pa-prod-analysis`. OK. Antes de finalizar, devo confirmar o meu comentário de segurança: existe a possibilidade de os gestores com escopo team verem o dashboard de custos/bem-estar? Nos requisitos do módulo, o PeopleAnalyticsController usa custom templates para esses módulos. O template de custos é cost_analysis_dashboard. Para quem tem escopo team (não manager/superadmin), a rota module() permite acesso (apenas bloqueia self scope). Então sim. Mas os dados na tela do custo são de empresa inteira ou da equipe? Os endpoints de dados aplicam applyPermissionFilters → forçam filtro gestor-equipe para escopo team. Portanto, a tela mostra apenas a equipe, mas a IA vê a empresa toda. Vazamento. Contudo, será que as perguntas de custos etc. seriam visíveis para usuários com escopo team? As perguntas sugeridas do custo são estáticas no template (sempre visíveis). E o botão de análise por gráfico também. Então um gestor de equipe com acesso ao módulo de custo verá o gráfico filtrado para a equipe, mas o botão "Gerar Análise"/perguntas vão pedir à IA analisar dados da empresa inteira (os filtros enviados são apenas currentFilters do front; o chart é o mesmo id, sem filtro de equipe). Sim, risco real. Na verdade, há um detalhe: o front envia os filtros atuais. currentFilters pode incluir área/seleções do usuário? Não inclui a restrição forçada por permissão (gestor-equipe) porque essa é server-side. Portanto a IA analisa empresa toda. O mesmo problema ocorre no endpoint gráfico dos módulos se o filtro não incluir restrição — mas os endpoints de dados adicionam a restrição server-side. A IA não. Confirmado o descompasso. Vou reportar. Agora vou definir os trechos de ancoragem com cuidado. Eles devem corresponder ao texto exato no diff com espaçamento igual. Vou usar espaços exatos do arquivo novo. No helper: ``` data: JSON.stringify({ filters: filters || {}, question: question, }), ``` O arquivo usa 2 espaços de indentação dentro de `$.ajax({...})`; verifiquemos o snippet no diff: ``` + $.ajax({ + url: `/people-analytics/api/${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, + }), + }) ``` Vou usar data/JSON.stringify trecho. Para well-being: ``` function firstMeaningfulAnalysisText(analysis) { if (!analysis) return ''; if (analysis.summary) return analysis.summary; ``` Sim, com dois espaços. Para PHP: ``` $hasMeaningfulData = $costTotal > 0 || $mainCause !== null || count($criticalAreas) > 0 || ($risk['high'] + $risk['medium']) > 0; ``` As linhas adicionadas no diff contêm os `+`? Sim: ``` + $costTotal = (float) ($cost['total']['rawValue'] ?? 0); + $hasMeaningfulData = $costTotal > 0 + || $mainCause !== null + || count($criticalAreas) > 0 + || ($risk['high'] + $risk['medium']) > 0; ``` OK. Também vou reportar a duplicação como uma nota no cost? Vou decidir após considerar: o foco na lógica duplicada é uma regra de prioridade 1 para JS. Vou reportar a duplicação em dois pontos? Se eu ancorar apenas no well-being e mencionar cost, ainda assim é um comentário único. Aceitável. Agora, também considero reportar [low] que as funções novas (requestFinalQuestionAnalysis e renderFinalQuestionResponse) são cópias quase idênticas entre cost e well-being, e que poderiam ser movidas para o helper compartilhado, juntamente com FINAL_QUESTION_CHART_ID default. Isso se encaixa no mesmo comentário de duplicação no well-being. Vou agora escrever os comentários. Vou incluir 3 comentários finais: 1. security/high no helper requestAnalysis — permissões/escopo (vazamento). 2. maintainability/low no well-being — duplicação utilitários em relação ao cost (e ao objetivo do helper). 3. maintainability/medium no PHP — controller grande + sugestão extração (mencionando teste brevemente). Também talvez um teste low? Vou incluir no 3 a frase de que deve ter teste automatizado. Vou considerar também adicionar um comentário no custo por causa do `firstMeaningfulAnalysisText` recém-adicionado igual ao do well-being — pode ser redundante. Melhor não. Depois de reportar, chamo task_done. Vou reler com cuidado os snippets para usar exact spacing (os snippets devem existir no diff text). Para well-being, o snippet começa com dois espaços: ``` function firstMeaningfulAnalysisText(analysis) { if (!analysis) return ''; if (analysis.summary) return analysis.summary; ``` Sim (indentação de 2 espaços para função dentro do IIFE, 4 para corpo). PHP snippet: dentro de adaptInsights, indentação 8 espaços (dois níveis): ``` $hasMeaningfulData = $costTotal > 0 || $mainCause !== null || count($criticalAreas) > 0 || ($risk['high'] + $risk['medium']) > 0; ``` Veja o diff para validar: ``` + $costTotal = (float) ($cost['total']['rawValue'] ?? 0); + $hasMeaningfulData = $costTotal > 0 + || $mainCause !== null + || count($criticalAreas) > 0 + || ($risk['high'] + $risk['medium']) > 0; ``` Sim. Helper snippet: ``` data: JSON.stringify({ filters: filters || {}, question: question, }), ``` Isso existe no novo arquivo com 8 espaços para "data:" e 10 para "filters". Sim, o diff mostra exatamente. Preparar os comentários. Agora, sobre severidade do comentário de segurança: dado que pode haver vazamento de dados de remuneração/custo para usuários restritos, high. Categoria security. Vou escrever conteúdo claro em pt-BR, com estrutura pedida: (1) o que muda e impacto prático, (2) por que importa, (3) o que fazer. Detalhes técnicos depois. Vou colocar o comentário do PHP com ênfase na regra do usuário de "maior peso" (controller grande). Detalhes técnicos (hasMeaningfulData) depois. Vou fazer 3 chamadas code_comment em uma única mensagem (a ferramenta aceita lista).
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{"comments": [{"path": "public/js/people-analytics/modules/adriana-chart-analysis.js", "category": "security", "severity": "high", "content": "Essas novas chamadas de IA enviam somente os filtros escolhidos na tela, e o endpoint usado (PeopleAnalyticsApiController → /people-analytics/api/{module}/chart/{chartId}/ai-analysis) não aplica, no servidor, as mesmas restrições de escopo que os demais endpoints de People Analytics aplicam (applyPermissionFilters força membro/equipe para perfis self/team). Para um gestor com visão restrita à própria equipe, o gráfico na tela é filtrado, mas a resposta da Adriana pode conter números de custo, folha e risco da empresa inteira — vazamento de dado fora da permissão do usuário. Como essa garantia não pode ser resolvida no cliente, é preciso confirmar que o backend da rota de IA aplica as mesmas restrições por escopo (ou limitar o recurso a quem tem escopo companhia) antes de liberar o botão para perfis restritos.", "existing_code": "        data: JSON.stringify({\n          filters: filters || {},\n          question: question,\n        }),"}, {"path": "public/js/people-analytics/modules/well-being-absence-dashboard.js", "category": "maintainability", "severity": "low", "content": "Essas funções (escapeHtml, firstMeaningfulAnalysisText e o fluxo requestFinalQuestionAnalysis/renderFinalQuestionResponse) foram copiadas quase idênticas entre este módulo e o cost-analysis-dashboard.js, apesar de esta própria PR ter criado o helper compartilhado para centralizar a análise da Adriana. Isso deixa o contrato de leitura da resposta da IA (summary/key_insights/etc.) duplicado em dois lugares — quando o formato do backend mudar, é fácil corrigir em um módulo e esquecer no outro. Sugiro exportar essas utilidades (extrair o primeiro texto útil e escapar HTML) pelo PeopleAnalytics.AdrianaChartAnalysis e reutilizá-las nos dois módulos.", "existing_code": "  function firstMeaningfulAnalysisText(analysis) {\n    if (!analysis) return '';\n    if (analysis.summary) return analysis.summary;"}, {"path": "src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php", "category": "maintainability", "severity": "medium", "content": "Este controller já tem quase 900 linhas e concentra orquestração HTTP, adaptação de payloads e a própria redação dos textos/insights (vários métodos adapt*/risk*/critical*); esta PR adiciona mais decisão de negócio no mesmo lugar — o cálculo de hasMeaningfulData, a nova mensagem de fallback de \"dados insuficientes\" e a condição revisada em suggestedQuestions. Aumentar esse padrão dificulta testar a regra isoladamente; o ideal é extrair a montagem dos insights e perguntas para um serviço/query dedicado, deixando o controller apenas como orquestrador. Essa nova regra de recorte vazio vs. com dados também ficou sem teste automatizado cobrindo o endpoint /insights nos dois cenários.", "existing_code": "        $hasMeaningfulData = $costTotal > 0\n            || $mainCause !== null\n            || count($criticalAreas) > 0\n            || ($risk['high'] + $risk['medium']) > 0;"}]}
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Request #37 deepseek-v4-flash P:102.86K C:2.51K CR:102.78K CW:0 21747ms
Reasoning
Comentários feitos. Vamos revisar se há mais algum problema relevante por arquivo que eu queira reportar antes de finalizar. Reexaminando o helper: - `escapeHtml` define uma nova div a cada chamada — ineficiente em loops grandes, mas chamadas limitadas. OK. - `renderAnalysis` injeta HTML com dados escapados — OK. - `renderError` recebe `error.message` do backend, escapado — OK. - `setButtonLoading` restaura o label usando dataset.originalAnalysisLabel — mas se o window.setButtonLoading global não existir, o fallback é usado. Na verdade verifiquei que window.setButtonLoading não existe. No fallback, quando isLoading true: label.textContent = 'Gerando...'. Quando false: restaura original. OK. - O problema do label do well-being: botão tem `<span>Gerar Análise</span>` — captura e restaura. OK. - Um caso de edge: no well-being botão de análise (wb-trajetoria) pode ser clicado enquanto os filtros não foram carregados. requestAnalysis envia currentFilters {}. OK. - Também o bind usa `event.preventDefault()`, evitando que o botão faça submit — ok, botões não estão em form. Custo: - escapeHtml pré-existente (1248). firstMeaningfulAnalysisText novo. requestFinalQuestionAnalysis novo. - Não tratar corr-card__btn com request; apenas log — pré-existente. - Falta feedback via showToast? Os erros das perguntas são exibidos inline no finalEl; análise por gráfico usa painel. Sem toast — aceitável pois feedback contextual inline. OK. Produtividade: - A remoção das funções e a integração com helper está consistente. Não vejo mais problemas. Twig: - Apenas adiciona script helper antes dos módulos — OK. Backend PHP: - Mudança adicional rawValue e condição. OK. - Mensagem fallback sem dados — correto e seguro (não inclui nenhum dado). - Mas há uma observação: quando `hasMeaningfulData` é false, `executive`/`at_risk_insight`/`cost_attention` ainda produzem frases que citam "0 colaboradores", "R$ 0" etc. O texto 'cost_attention' diz "Maior componente é —, representando —. A redução de reincidência ... tende a ter maior retorno financeiro." Mesmo com dados insuficientes, essa frase pode ser enganosa/recomendação falsa, contrariando o objetivo da PR de "evitar recomendações falsas". Mas esses campos não foram alterados pela PR (já existiam). O fallback de dados insuficientes foi aplicado apenas no 'final'. A PR poderia ter aplicado ao conjunto. Contudo, fora do escopo do diff (linhas não alteradas). Pelo critério de "foco nas mudanças", é aceitável não comentar. Mas o objetivo declarado da PR é "Não gerar conclusões fortes quando os dados do recorte estiverem vazios"; e a UI continua mostrando os cards 'executive' e 'cost_attention' com conteúdo potencialmente enganoso. Isso é uma regressão de consistência da própria feature (novo recurso de dados insuficientes) — mas os cards pré-existentes não estavam... bem, eles sempre mostraram isso. A PR corrige o 'final' apenas. Não é uma regressão introduzida; é melhoria parcial. Não vou comentar (fora do escopo das linhas alteradas; sem impacto claro novo). Acho que cobri bem. Mas deixe-me pensar mais um pouco sobre o comentário de segurança para garantir que está correto e não é um falso positivo. Vamos verificar se o ChartAiAnalysisService ou PeopleAnalyticsApiController aplicam permissão via UserContext (empresa) apenas. O frontend envia currentFilters que pode conter apenas periodo. Confirmamos que applyPermissionFilters não é usado na rota de IA. Portanto o fluxo IA não restringe escopo de equipe. Para validar se isso é realmente um problema de segurança novo, o well-being antes (desta PR) NÃO chamava a IA, logo não havia problema. Agora chamará. E o botão de análise existe para todos (sempre visível). Portanto o risco existe. O custo já chamava a IA antes da PR (o requestAnalysis removido usava a mesma rota sem permissão). Bem, não era seguro antes também; a PR não regride nesse caso, mas é um bom momento para levantar. O comentário está ancorado no helper que é usado pelo custo/bem-estar/produtividade. Também vale observar que PeopleAnalyticsPermissionService e filterAvailableFilters limitam as opções de filtros no front; mas um usuário team poderia usar o mesmo botão sem selecionar áreas. Ainda assim, no endpoint dados, o filtro gestor-equipe é imposto server-side. Na IA, não. Real. Eu poderia também ter comentado sobre a necessidade de CSRF nos controllers AdrianaRisk* que validam CSRF (padrões existentes na área) versus o novo fluxo que não envia token. Contudo, o endpoint alvo (PeopleAnalyticsApiController) não valida CSRF e as chamadas antigas já não enviavam. As regras pedem não comentar código correto. Manterei sem. Sobre a "Prefer async/await" regra de JS — o novo código usa Promises com .then/.catch/.finally e $.ajax. Já que usa jQuery $.ajax (não-Promise), .then é o natural. Não vou comentar. Também não comentarei sobre o uso de jQuery (var proibida não usada; == não usado; etc.). O código usa `== null` em escapeHtml (comparação não estrita permitida em alguns pontos, pois é idiomática para null/undefined). Mas a regra proíbe `==`/`!=`. Em escapeHtml no helper e nos módulos existe `value == null ? '' : String(value)`. Isso usa `==` — regra estrita do usuário "Equality Comparisons: Using == and != is prohibited; use strict equality". Hmm, é um caso deliberado de nullish check (== null pega null e undefined), mas a regra é categórica para JS dos módulos. O well-being adiciona escapeHtml novo com `value == null`. O cost mantém escapeHtml pré-existente (não novo). O helper adiciona escapeHtml novo com `value == null`. Devo reportar? Seria um "achado de estilo puro sem efeito real ... curto e baixa prioridade". Vou avaliar se vale incluir no comentário do well-being já feito (não). Como é um padrão idiomático comum para null/undefined e o efeito real é zero (e usar === exigiria `value === null || value === undefined`), reportar seria barulhento. A diretriz de precisão (favor precision over recall) do PHP não se aplica, mas o espírito sim. Vou omitir. OK, acho que os 3 comentários são suficientes e relevantes. Espera, preciso reconsiderar a severidade do comentário de segurança. Será que a rota está sob o controlo de `paPermissionService` em algum middleware? Vimos que os outros controllers aplicam manualmente. A rota de IA está no controller genérico `PeopleAnalyticsApiController` que não aplica. Também poderia haver restrição em `UserContext` / `userAccess->getSelectedCompany` que valida a empresa selecionada. A empresa selecionada é a mesma em que o usuário está operando. Não há vazamento cross-company, mas cross-team dentro da mesma empresa. Real. Vou manter high. Vou também considerar reportar no PHP uma possível inconsistência: quando dados insuficientes, `questions` retorna vazio e o painel de "Perguntas sugeridas" no bem-estar fica vazio, mas o rótulo "Perguntas sugeridas" continua visível. Visual apenas. Chegou a hora de chamar task_done.
A revisão dos arquivos foi concluída. Segue o resumo dos achados reportados: **Achados registrados (3 comentários):** 1. **`adriana-chart-analysis.js` — segurança (high):** as novas chamadas de IA (agora ativadas para Bem-estar/Ausência e ampliadas em Custos) passam apenas filtros do frontend; o endpoint de IA não aplica as restrições de escopo que os endpoints de dados da área aplicam no servidor (`applyPermissionFilters`). Gestores com visão restrita a equipe podem receber respostas com números de custo/folha/risco de outras áreas. 2. **`well-being-absence-dashboard.js` — maintainability (low):** `escapeHtml`, `firstMeaningfulAnalysisText` e o fluxo de pergunta final foram copiados quase idênticos no módulo de custos, contrariando o próprio objetivo da PR (centralizar num helper) e duplicando o contrato de parsing da resposta da IA. 3. **`WellBeingAbsenceController.php` — maintainability (medium):** controller com ~890 linhas já misturando orquestração, adaptação e redação de insights ganhou mais decisão de negócio (`hasMeaningfulData`, fallback, condição de pergunta) sem extração para serviço e sem teste automatizado do fluxo `/insights` com recorte vazio vs. com dados. **Verificações que não viraram comentários (risco descartado/baixo):** - O jQuery é carregado pelos layouts (`layoutAdmin`/`layoutUser`) bem antes do bloco `javascripts` onde o helper é incluído — a dependência do helper em `jQuery` não quebra a execução dos módulos. - Os `chartId`s usados no frontend (`chart-evolucao-faltas`, `chart-custo-produtividade`, `chart-custo-ausencias-area`, etc.) e os módulos `bem_estar_ausencia`/`visao_geral_custos` são suportados pelos services e metadata existentes; o formato de resposta (`ai_analysis.summary`, `key_insights`, ...) bate com o que o helper e `firstMeaningfulAnalysisText` esperam. - Os seletores restritos (`.pa-prod-dash`, `.pa-ca-dash`, `.pa-wb-dash`) existem como wrappers nas três telas e todos os botões `data-analysis` estão no HTML estático dentro deles — sem regressão de vínculo de eventos. - A ausência de CSRF nas chamadas de IA segue o padrão já usado pelas demais requisições da área e pelo código removido (mesmo endpoint), portanto não foi tratada como regressão desta PR.
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{"state": "DONE"}
Request #38 deepseek-v4-flash P:18.57K C:5.33K CR:12.29K CW:0 37243ms
Reasoning
Let me start by reviewing the files in the review group. There are confirmed findings already. I need to continue reviewing and find other real issues. Let me analyze the diffs: 1. `public/js/people-analytics/modules/adriana-chart-analysis.js` - new file, shared helper. 2. `public/js/people-analytics/modules/cost-analysis-dashboard.js` - refactored to use helper. 3. `public/js/people-analytics/modules/produtividade-dashboard.js` - refactored. 4. `public/js/people-analytics/modules/well-being-absence-dashboard.js` - refactored. 5. `src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php` - backend changes. 6. Twig templates - script include. Let me examine details carefully. First, let me read the files to understand context. Key things to look for: In `cost-analysis-dashboard.js`: - The diff shows removal of old functions and adding new `requestFinalQuestionAnalysis`. - Note the selector binding logic: ```js document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn').forEach(function (el) { const mappedKey = el.getAttribute('data-analysis'); if (mappedKey && ANALYSIS_CHART_ID[mappedKey]) return; el.addEventListener('click', function (ev) { ev.preventDefault(); const key = el.getAttribute('data-analysis'); if (el.classList.contains('pa-ar-suggested-question')) { requestFinalQuestionAnalysis(el); return; } console.info('[CostAnalysis] análise solicitada:', key || el.getAttribute('data-question')); }); }); ``` Wait — there's an issue: the helper `bind` (AdrianaChartAnalysis.bind) is called with selector `.pa-ca-dash .pa-prod-analysis[data-analysis]`. The `bind` uses `.each()` on the jQuery selector, and attaches click handlers to buttons with `data-adrianaAnalysisBound` guard. Then in the loop above, `document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn')` — elements with mapped key are skipped (they're handled by the helper). But what about `.pa-ar-corr-card__btn` elements? Those used to call `requestAnalysis(el)` if key mapped? Wait let me re-check old code: Old code: ```js document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn').forEach(function (el) { el.addEventListener('click', function (ev) { ev.preventDefault(); const key = el.getAttribute('data-analysis'); if (key && ANALYSIS_CHART_ID[key]) { requestAnalysis(el); return; } console.info('[CostAnalysis] análise solicitada:', key || el.getAttribute('data-question')); }); }); ``` New code skips `.pa-prod-analysis` with mapped key (handled by helper now). But `.pa-ar-corr-card__btn` elements with `data-analysis` mapped to ANALYSIS_CHART_ID would have previously called `requestAnalysis(el)` — wait, requestAnalysis was the old AI analysis function. Hmm, but actually was `.pa-ar-corr-card__btn` clicked with `data-analysis`? Possibly. Now new code: if mapped key, return (skip). So `.pa-ar-corr-card__btn` buttons with data-analysis mapped to ANALYSIS_CHART_ID would now be bound by... the helper only binds `.pa-prod-analysis[data-analysis]` per selector `.pa-ca-dash .pa-prod-analysis[data-analysis]`. So `.pa-ar-corr-card__btn` no longer triggers AI analysis. But wait — does `.pa-ar-corr-card__btn` have `data-analysis`? Let me search for how these buttons are used in the template. Actually I need to check the template for `.pa-ar-corr-card__btn`, `.pa-prod-analysis`, `.pa-ar-suggested-question`. Let me read relevant files. Also in the helper, `bind` uses `$(selector).each(function(){...})`, and the button click binding uses jQuery's `$(button).on('click'...)`. There may be a race — but fine. Potential issue in helper: `getOrCreatePanel` finds panel by `[data-analysis-panel="${key}"]`. If the button already had a panel in DOM from markup? Fine. Now the `setButtonLoading` in the helper toggles `is-loading` and uses `button.dataset.originalAnalysisLabel`. It restores label text. OK. Potential issue: In the helper, on `.done` handler they resolve `json.ai_analysis || {}`. Fine. Now let's check `requestAnalysis` URL: `/people-analytics/api/${module}/chart/${chartId}/ai-analysis`. This is what other modules did. But confirmed finding #1 says the endpoint doesn't apply scoping restrictions. Not to repeat. Now let me look at cost-analysis-dashboard.js more closely. Potential bug: In `requestFinalQuestionAnalysis` in cost-analysis, the mapping default: `const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-evolucao-custo-total';`. That uses module `AI_MODULE = 'visao_geral_custos'`. OK. The question asks: `questionLabel + ' Responda de forma objetiva, usando apenas os dados de custos disponíveis.'` Now what about the `key = el.getAttribute('data-analysis')` in bindUiActions — if `el.classList.contains('pa-ar-suggested-question')` but also has data-analysis mapped? Then skip due to mapped key. But suggested questions probably don't have data-analysis. But in well-being-absence, the helper binds `.pa-wb-dash .pa-prod-analysis[data-analysis]`. And bindAnalysisActions binds `.pa-ar-suggested-question`. Hmm wait, in well-being-absence, `bindAnalysisActions(scope)` is called with questionsEl when loading insights. But the AdrianaChartAnalysis.bind is also invoked inside bindAnalysisActions, and it uses `document` (global selector `.pa-wb-dash .pa-prod-analysis[data-analysis]`). So multiple calls to bind — but bind itself guards by `button.dataset.adrianaAnalysisBound`. OK. Now there's a subtle issue: in well-being-absence, the `.pa-prod-analysis` elements might be inside cards that get re-rendered dynamically (charts). `bind` is only called during `bindAnalysisActions`, which might be called multiple times. But each element guarded. Now let's look for real bugs. In the cost-analysis JS diff, old function `getAnalysisPanel` and `renderAnalysisResult` were removed. The new flow: for mapped `.pa-prod-analysis` buttons, helper binds. But note helper's bind uses jQuery `$(button).on('click', ...)`, and it does `event.preventDefault()`. Old code used addEventListener on the same element. Are both attached? No: helper's selector `.pa-ca-dash .pa-prod-analysis[data-analysis]` binds all `.pa-prod-analysis` with data-analysis, and then the forEach loop skips those with mapped key. So only one binding. But what about `.pa-prod-analysis` with unmapped data-analysis (not in ANALYSIS_CHART_ID)? Helper still binds them (since bind selector matches any data-analysis regardless of chartMap). Then on click, chartId = chartMap[key] = undefined → renderError "não possui gráfico vinculado". Hmm but the loop will also bind (since mappedKey is undefined). So both handlers fire: helper renders error; the forEach one logs info. Double binding but OK. Actually wait: if key not in chartMap, then in the forEach: `mappedKey = el.getAttribute('data-analysis')` = e.g. 'foo'; ANALYSIS_CHART_ID['foo'] undefined, so not skipped; adds listener that logs. So both fire. Not a bug per se. Now key thing: In cost dashboard, are there `.pa-prod-analysis` buttons not in `.pa-ca-dash` scope? The helper selector is `.pa-ca-dash .pa-prod-analysis[data-analysis]`. The template likely wraps in `.pa-ca-dash`. Fine. Now, what about the old flow in cost dashboard: The AI analysis used `renderAnalysisResult(btn, json.ai_analysis || {})`. The `ANALYSIS_CHART_ID` had 'ca-trajetoria-folha'. New helper handles that. Now check the well-being dashboard: previously `.pa-prod-analysis` in well-being presumably were just buttons? Wait the old bindAnalysisActions bound `.pa-prod-analysis` and `.pa-ar-suggested-question` to console.info. There was no AI analysis request in well-being before? The template may have had `.pa-prod-analysis` buttons for something else (maybe not AI). Now it binds them to Adriana analysis via helper if they are `.pa-wb-dash .pa-prod-analysis[data-analysis]`. Let me check the template to understand where `.pa-prod-analysis` buttons appear in well-being dashboard. Let me read relevant template parts. But the template files in review only added script tags. Template content is context. Let me search for `pa-prod-analysis` in templates. Now there may be issue: in produtividade-dashboard, `bindUiActions` binds helper with selector `.pa-prod-dash .pa-prod-analysis[data-analysis]`. Then there is removal of requestAnalysis. Previously the whole document `[data-analysis]` bound. Now only within `.pa-prod-dash`. Also `setAnalysisLoading(key, ...)` etc. removed. But also the old bind used `btn.addEventListener('click', () => requestAnalysis(...))`. New code relies on helper only being loaded if the script `adriana-chart-analysis.js` included, which it is in the template now. OK. Now check whether `produtividade-dashboard.js` still references removed functions anywhere. Removed functions `setAnalysisLoading`, `renderAnalysisList`, `renderAnalysisResult`, `requestAnalysis`. Any callers left? Search for usages. Also check that `escapeHtml` and `notify` are still defined where used. Wait, escapeHtml is still defined at line 1247 in cost-analysis? Actually the diff at line 1247 shows escapeHtml remains (unchanged, as context for removal of notify). In well-being, escapeHtml was added (new). In produtividade, escapeHtml already existed presumably. Now potential dangling references: produtividade had functions removed but maybe other code references them elsewhere (e.g., elsewhere in the file). Let me search within the file. Let me also verify whether ANALYSIS_CHART_ID in well-being is actually correct — matches template chart IDs? Chart id strings used in existing code. Let me check for the endpoints `chart-evolucao-faltas` etc. Let me look at the backend controller diff: they compute `$costTotal = (float)($cost['total']['rawValue'] ?? 0);`. `$cost` comes from some call that returns array now including rawValue. But is `$cost['total']['rawValue']` present in all cases? They added `rawValue` to one place: in `costImpact()` method (the diff at line 399-ish returns `'total' => ['value' => ..., 'caption' => ..., 'rawValue' => $total]`). But wait, `$cost` used in summary may come from a different function? Let me read the controller code around these lines. Let me read WellBeingAbsenceController to understand `$cost`, `$mainCause`, `$risk`, `$criticalAreas`, and where they come from. Also whether `rawValue` key is added in the method actually used to build summary (`$cost = ...`). And `suggestedQuestions` uses `$cost['total']['rawValue'] ?? 0`. Also there could be another dashboard (frontend, e.g., "cost" cards) using `total.value`? The change adds rawValue but keeps value. Fine. Potential bug: In `suggestedQuestions`, previously it checked `($cost['total']['value'] ?? '') !== ''` (string compare). Now checks rawValue float > 0. If `$cost` total exists with 'value' => formatMoneyFull($total) but the summary's `$cost` might come from a different method (maybe `costImpact` returns that array). Need to verify that the same array shape is used in both places. Now, is there another code path where `$cost` is computed differently, lacking 'rawValue'? If so `?? 0` protects. Now, potential real bug in controller: `$risk['high'] + $risk['medium']` — if `$risk` doesn't have those keys? It's presumably from `riskSummary`. Fine. But there's a subtle issue: `$hasMeaningfulData` includes `count($criticalAreas) > 0` even if the only reason criticalAreas non-empty is severity high/low classification based on percentages... Hmm, if there is data for critical areas, that means absences exist, so fine. Also `$mainCause !== null` — if main cause exists but cost is zero and risk zero and areas zero? If there's absence data causing a main cause, then presumably cost > 0. Not necessarily a bug. Wait, actually let me reconsider: if the filters produce `$costTotal == 0` but there are rows... The point is to avoid misleading insight. The 'final' message now only says data insufficient if all zero. But is that actually correct for the case of "período sem dados"? cost total 0, mainCause null, criticalAreas 0, risk high+medium 0 → insufficient. OK. Now, question about `rawValue` being added as money raw float while earlier there may be a `money` with integer cents? Not important. Potential contract change: The JS module `well-being-absence-dashboard.js` FINAL_QUESTION_CHART_ID maps 'who-high-risk' etc. Let me check the questions from the backend: `suggestedQuestions($risk, $criticalAreas, $mainCause, $cost)` produces keys like 'who-high-risk'? Let me read the function. Let me read the backend around suggestedQuestions, and read JS files fully for context. Let me read cost-analysis-dashboard.js near bindUiActions (lines ~1330-1360) and the well-being file regions, plus produtividade. Also check whether the `pa-ar-corr-card__btn` binding is broken for cost. Actually important: In cost dashboard old code, `.pa-ar-corr-card__btn` with data-analysis mapped would call requestAnalysis(el). Was `.pa-ar-corr-card__btn` mapped to data-analysis? In the well-being templates there is `pa-ar-corr-card__btn`. In cost template? Let me search templates for `.pa-ar-corr-card` to understand. Actually `.pa-ar-corr-card__btn` might be "correlation card button". Let me search. Let me perform searches now. Also check the helper file for potential issue: `escapeHtml` uses textContent of a detached div, then returns innerHTML. But wait, when the panel is created with `panel.innerHTML = ...` using escapeHtml for each text — fine. But there's a subtle XSS: keys like `data-question="' + escapeHtml(key) + '"'` inside an HTML attribute — escapeHtml escapes `<`, `>`, `&`, but does NOT escape double quotes! In well-being-absence template rendering (JS building buttons), they use `escapeHtml(key)` inside a double-quoted attribute: `data-question="' + escapeHtml(key) + '"`. If key contains `"`, the attribute breaks → XSS. escapeHtml uses div.textContent so it escapes `<`, `>`, `&` and also quotes? Let's think: assigning textContent then reading innerHTML yields entity-encoded `&quot;` for double quotes? Actually in HTML serialization via innerHTML, text nodes containing `"` are NOT escaped (quotes don't need escaping in text content). `<`, `>`, `&` get escaped as `&lt;`, `&gt;`, `&amp;`. Double quotes remain literal. So if `key` (or label) contains a double quote, when placed inside the attribute value delimited by double quotes, it breaks out. The label is placed in text node, safe. But key inside attribute is a problem. But is `key` user-controlled? `key = q.key || q.id || q.dataQuestion || 'question'`. These come from backend `suggestedQuestions`. Backend builds keys from static strings ('who-high-risk' etc.) plus maybe dynamic like `'cost-' . $areaId`. Area IDs come from DB (area titles). Could contain quotes? Possibly safe normally. It's low severity. And per user rule: "Não injete HTML vindo do usuário via .html()/innerHTML sem sanitização/allowlist." This is a sanitization gap; attribute context needs escaping. But since source is mostly trusted backend, medium/low. Actually more importantly: the question says the change is inside well-being file already escaped both key and label using escapeHtml. Previously label was not escaped (injected directly) - actually previously `'<button ... data-question="' + key + '">' + label + '</button>'` — both unescaped. Now escaping label in text node with escapeHtml is fine. Escaping key with escapeHtml in attribute is incomplete but an improvement. Since this is within review file and the key/label are server-provided but could contain DB-derived content, I could flag a medium severity XSS-incomplete-attribute-escaping note. However, is `label` from DB? It comes from backend suggestedQuestions labels which include area titles possibly. Let me check. Let me check the backend suggestedQuestions to see if labels/keys embed dynamic values (area titles). If yes and untrusted? Area titles are DB values (already existing, likely sanitized elsewhere but not escaped here—they use sprintf into JS string inserted via .html). Wait actually in well-being JS the button label html uses escapeHtml(label). Good. But in cost dashboard: where are suggested questions rendered? Probably server-rendered in Twig or loaded. Let me check. Now other potential bugs: In helper `renderAnalysis`, they render `analysis.projections` — list rendering uses same structure; but the old well-being analysis did NOT include 'Projeções' (projections) section before. Actually old well-being renderAnalysisResult included key_insights, attention_points, recommended_actions, limitations but not projections. But that function was removed. Whatever, now helper always shows projections if present. Bigger potential issue: In produtividade dashboard old renderAnalysisResult did not include projections? Not relevant. Now the biggest cross-file contract check: `AI_MODULE = 'visao_geral_custos'` for cost. The endpoint URL uses module directly in path: `/people-analytics/api/visao_geral_custos/chart/.../ai-analysis`. Need to check backend routing supports module name `visao_geral_custos` and `bem_estar_ausencia` and `produtividade`. Wait, in the old code produtividade used `API_BASE = '/people-analytics/api/produtividade'`? Actually requestAnalysis used `${API_BASE}/chart/...` where API_BASE = '/people-analytics/api/produtividade' presumably. Let me verify: produtividade-dashboard API_BASE constant. And the helper uses `module` parameter in the URL. In the diff of produtividade, the bind passes `module: 'produtividade'`. So the URL becomes `/people-analytics/api/produtividade/chart/...`. Good. For cost: previously AI_API_BASE = '/people-analytics/api/' + AI_MODULE where AI_MODULE='visao_geral_custos'. So previously URL `/people-analytics/api/visao_geral_custos/chart/...`. Now helper builds same. Good. For well-being: previously no AI analysis request for charts? There were none? Actually there might have been an Adriana panel already elsewhere. But now they call module `bem_estar_ausencia`. Need to verify the backend route accepts that module name. The route `/people-analytics/api/{module}/chart/{chartId}/ai-analysis` — controller PeopleAnalyticsApiController with dynamic module. Need to check how module param maps to adapter names. Search backend for `ai-analysis` and module adapter names, e.g., 'produtividade', 'visao_geral_custos', 'bem_estar_ausencia'. Let me read. Let me also verify: does the well-being dashboard previously have AI analysis for chart at all? In the old well-being file, bindAnalysisActions bound `.pa-prod-analysis, .pa-ar-suggested-question` to console.info only (no request). Actually old code in well-being likely had no Adriana requests; only cost and produtividade had them. But there may have been some `.pa-prod-analysis` in well-being that previously did nothing except log. Wait, but maybe the well-being analysis buttons previously triggered nothing (dead UI) and this PR wires them. Fine. Now the produtividade module: previously `requestAnalysis(key)` used `ANALYSIS_CHART_ID[key]`; is ANALYSIS_CHART_ID still defined in produtividade file? The removed function used it; they keep chartMap param referencing ANALYSIS_CHART_ID. Need to verify constant still exists in produtividade file (it was unchanged, not removed). Let me search. Also verify: after removing functions in produtividade and cost, are there leftover references to them? Let me grep. Now potential issue with helper bind being invoked on each `bindUiActions`/`bindAnalysisActions` call repeatedly; each call re-runs `$(selector).each`, but the guard is per element: `if (button.dataset.adrianaAnalysisBound === '1') return;`. Fine. But consider dynamic re-render: new buttons added later wouldn't be bound since bind only called once at load... but bindAnalysisActions is called after loading insights (which adds buttons), and helper bind is invoked there. In produtividade, are `.pa-prod-analysis` buttons present at initial load (static) or dynamically created? If dynamically created after initial bindUiActions, they'd not get bound... but bindUiActions calls bind once at document ready; if those buttons are static in Twig, they get bound. If charts/cards created dynamically later... Let me check. Also cost dashboard: helper bind called inside bindUiActions at load. Are the `.pa-ca-dash .pa-prod-analysis[data-analysis]` buttons static? Probably yes. Now let me look at details of the well-being template for panel markup existence (`.pa-prod-analysis` buttons with `data-analysis` in well-being template?). The helper will bind them only if within `.pa-wb-dash`. Let me look at actual files now to confirm. I'll start reading files. Let me read the well-being controller function around lines 380-470 and 850-900. Let me read the four JS modules, relevant sections, and templates as needed. Plan: 1. Read src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php around 380-460 and 840-900. 2. Search for the AI endpoint controller mapping modules. 3. Read cost-analysis-dashboard.js around bindUiActions (lines 1250-1380). 4. Read well-being-absence-dashboard.js fully or relevant. 5. Read produtividade-dashboard.js relevant parts. 6. Read helper adriana-chart-analysis.js fully (given). 7. Search templates for `pa-ar-corr-card__btn`, `.pa-prod-analysis`, `data-question` usage in cost dashboard and well-being. Let me do parallel reads/searches.
Tool Calls (3)
file_read
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{"file_path": "src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php", "start_line": 370, "end_line": 480}
File: src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php (Total lines: 887)
IS_TRUNCATED: false
LINE_RANGE: 370-480
370|        $absence = $this->absenceTotals($filters);
371|
372|        if ($cost <= 0) {
373|            $avgDaily = $this->averageDailyPayroll($filters);
374|            $cost = $absence['licenseDays'] * $avgDaily + $absence['operationalDays'] * $avgDaily;
375|        }
376|
377|        $components = [
378|            ['label' => 'Produtividade perdida', 'desc' => 'Dias-ausência × salário médio diário', 'value' => $cost * 0.55],
379|            ['label' => 'Substituição operacional', 'desc' => 'Cobertura temporária, hora extra e redistribuição', 'value' => $cost * 0.25],
380|            ['label' => 'Encargos/INSS estimados', 'desc' => 'Impacto financeiro em licenças formais', 'value' => $cost * 0.12],
381|            ['label' => 'Risco de turnover atribuível', 'desc' => 'Estimativa derivada da recorrência de ausência', 'value' => $cost * 0.08],
382|        ];
383|
384|        $total = max(1.0, array_sum(array_column($components, 'value')));
385|        foreach ($components as &$component) {
386|            $component['value'] = round((float) $component['value'], 0);
387|            $component['percent'] = round(($component['value'] / $total) * 100, 1);
388|        }
389|
390|        return ['rows' => $components];
391|    }
392|
393|    private function adaptCostTotals(array $filters): array
394|    {
395|        $components = $this->adaptCostComponents($filters)['rows'];
396|        $total = array_sum(array_column($components, 'value'));
397|        $payroll = max(1.0, $this->periodPayroll($filters));
398|        usort($components, fn ($a, $b) => $b['value'] <=> $a['value']);
399|        $main = $components[0] ?? ['label' => '—', 'percent' => 0];
400|
401|        return [
402|            'total' => ['value' => $this->formatMoneyFull($total), 'caption' => 'impacto total no período', 'rawValue' => $total],
403|            'payrollShare' => ['value' => $this->fmtPercent(($total / $payroll) * 100), 'caption' => 'da folha no período'],
404|            'mainComponent' => ['value' => (string) $main['label'], 'caption' => $this->fmtPercent((float) $main['percent']) . ' do total'],
405|        ];
406|    }
407|
408|    private function adaptCriticalAreas(array $filters): array
409|    {
410|        return ['areas' => $this->criticalAreaRows($filters)];
411|    }
412|
413|    private function adaptInsights(array $filters): array
414|    {
415|        $kpis = $this->adaptKpis($filters);
416|        $kpiMap = [];
417|        foreach ($kpis as $kpi) {
418|            $kpiMap[$kpi['key']] = $kpi['value'];
419|        }
420|        $risk = $this->riskDistribution($filters);
421|        $cost = $this->adaptCostTotals($filters);
422|        $mainCause = $this->adaptBreakdownByCause($filters)['rows'][0] ?? null;
423|        $criticalAreas = array_values(array_filter(
424|            $this->criticalAreaRows($filters),
425|            static fn (array $area): bool => ($area['severity'] ?? '') !== 'low'
426|        ));
427|        $costTotal = (float) ($cost['total']['rawValue'] ?? 0);
428|        $hasMeaningfulData = $costTotal > 0
429|            || $mainCause !== null
430|            || count($criticalAreas) > 0
431|            || ($risk['high'] + $risk['medium']) > 0;
432|
433|        return [
434|            'executive' => sprintf(
435|                'Absenteísmo em <strong>%s</strong>, com <strong>%s dias-ausência</strong> e custo estimado de <strong>%s</strong>. %s colaboradores aparecem em risco alto/médio no período.',
436|                $kpiMap['absence-rate'] ?? '—',
437|                $kpiMap['absence-days'] ?? '—',
438|                $cost['total']['value'] ?? '—',
439|                $risk['high'] + $risk['medium']
440|            ),
441|            'at_risk_insight' => sprintf('<strong>%d colaboradores em risco alto</strong> devem ser priorizados por recorrência de ausência e sinais de bem-estar. O grupo médio (%d pessoas) deve entrar em monitoramento preventivo.', $risk['high'], $risk['medium']),
442|            'cost_attention' => sprintf('Maior componente é <strong>%s</strong>, representando %s. A redução de reincidência em áreas críticas tende a ter maior retorno financeiro.', $cost['mainComponent']['value'] ?? '—', $cost['mainComponent']['caption'] ?? '—'),
443|            'final' => !$hasMeaningfulData
444|                ? 'Ainda não há dados suficientes neste recorte para gerar uma leitura conclusiva de bem-estar, ausência e custo. Amplie o período ou ajuste os filtros para obter uma análise mais confiável.'
445|                : sprintf(
446|                    'A leitura integrada mostra %s área(s) em atenção%s. O custo total estimado é %s e a principal causa registrada é %s. Priorize as áreas com maior combinação de ausência, baixo bem-estar e custo.',
447|                    count($criticalAreas),
448|                    count($criticalAreas) > 0 ? ' (destaque: ' . $criticalAreas[0]['title'] . ')' : '',
449|                    $cost['total']['value'] ?? '—',
450|                    $mainCause['label'] ?? 'não identificada'
451|                ),
452|            'questions' => $this->suggestedQuestions($risk, $criticalAreas, $mainCause, $cost),
453|        ];
454|    }
455|
456|    private function absenceTotals(array $filters): array
457|    {
458|        $licenses = $this->service->getChartData('chart-evolucao-licencas', $filters);
459|        $absences = $this->service->getChartData('chart-evolucao-faltas', $filters);
460|        $licenseDays = array_sum(array_map('floatval', $licenses['series'][0]['data'] ?? []));
461|        $operationalDays = array_sum(array_map('floatval', $absences['series'][0]['data'] ?? []));
462|
463|        return [
464|            'licenseDays' => $licenseDays,
465|            'operationalDays' => $operationalDays,
466|            'totalDays' => $licenseDays + $operationalDays,
467|            'headcount' => $this->activeHeadcount($filters),
468|        ];
469|    }
470|
471|    private function riskDistribution(array $filters): array
472|    {
473|        $companyId = (int) $filters['company_id'];
474|        [$start, $end] = $this->resolveDates($filters);
475|        $params = ['companyId' => $companyId, 'startDate' => $start, 'endDate' => $end];
476|        $where = $this->memberFilterSql($filters, $params);
477|        $sql = "
478|            SELECT
479|                cm.id,
480|                COALESCE(license_days.days, 0) AS license_days,
code_search
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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/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
2623|		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);

code_search
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{"search_text": "pa-ar-corr-card__btn"}
File: public/css/people_analytics/attraction-retention-dashboard.css
Match lines: 1
953|.pa-ar-dash .pa-ar-corr-card__btn {

File: public/css/people_analytics/print-report.css
Match lines: 1
312|    body.printing-report .pa-ar-corr-card__btn {

File: public/js/people-analytics/modules/attraction-retention-dashboard.js
Match lines: 1
1492|    bindAnalysisActions(document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn'));

File: public/js/people-analytics/modules/cost-analysis-dashboard.js
Match lines: 1
1332|    document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn').forEach(function (el) {

File: templates/people_analytics/attraction_retention_dashboard.html.twig
Match lines: 3
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">

Request #39 deepseek-v4-flash P:27.31K C:228 CR:23.81K CW:0 2152ms
Reasoning
Let me read the controller API route to understand module validation, and the well-being controller's suggestedQuestions and breakdown functions. Also read cost analysis dashboard JS around bindUiActions and requestFinalQuestionAnalysis, and the template for cost dashboard's `.pa-prod-analysis`/suggested questions markup.
Tool Calls (2)
file_read
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{"file_path": "src/Controller/PeopleAnalyticsApiController.php", "start_line": 1, "end_line": 180}
File: src/Controller/PeopleAnalyticsApiController.php (Total lines: 162)
IS_TRUNCATED: false
LINE_RANGE: 1-162
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|            $filters = $data['filters'] ?? [];
109|            $question = $data['question'] ?? 'Explique os principais insights e pontos de atenção';
110|
111|            // Normalizar filtros
112|            $filters = $filterNormalizer->normalize($filters);
113|
114|            // Adicionar contexto do usuário (company, permissões)
115|            $company = $this->userContext->getCompany();
116|            if ($company) {
117|                $filters['company_id'] = $company->getId();
118|            }
119|
120|            // Chamar service de análise
121|            $result = $aiAnalysisService->analyze($module, $chartId, $filters, $question);
122|            if (!$result['success']) {
123|                return new JsonResponse($result, 500);
124|            }
125|
126|            return new JsonResponse($result);
127|
128|        } catch (\Exception $e) {
129|            $this->logger->error('[API] Erro na análise de IA', [
130|                'module' => $module,
131|                'chartId' => $chartId,
132|                'error' => $e->getMessage(),
133|                'trace' => $e->getTraceAsString()
134|            ]);
135|
136|            return new JsonResponse([
137|                'success' => false,
138|                'error' => 'Erro ao processar análise: ' . $e->getMessage()
139|            ], 500);
140|        }
141|    }
142|
143|    /**
144|     * Endpoint para verificar status da IA (healthcheck)
145|     * 
146|     * GET /people-analytics/api/ai/health
147|     */
148|    #[Route('/ai/health', name: 'people_analytics_api_ai_health', methods: ['GET'])]
149|    public function aiHealth(): JsonResponse
150|    {
151|        return new JsonResponse([
152|            'success' => true,
153|            'status' => 'operational',
154|            'provider' => 'deepseek',
155|            'model' => 'deepseek-chat',
156|            'timestamp' => (new \DateTime())->format('c')
157|        ]);
158|    }
159|}
160|
161|
162|
file_read
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{"file_path": "src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php", "start_line": 820, "end_line": 887}
File: src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php (Total lines: 887)
IS_TRUNCATED: false
LINE_RANGE: 820-887
820|            return 'R$ ' . number_format($value / 1000000, 1, ',', '.') . 'M';
821|        }
822|        if (abs($value) >= 1000) {
823|            return 'R$ ' . number_format($value / 1000, 0, ',', '.') . 'K';
824|        }
825|        return 'R$ ' . number_format($value, 0, ',', '.');
826|    }
827|
828|    private function formatMoneyFull(float $value): string
829|    {
830|        return 'R$ ' . number_format($value, 0, ',', '.');
831|    }
832|
833|    private function mergeCategories(array $a, array $b): array
834|    {
835|        return array_values(array_unique(array_merge($a, $b)));
836|    }
837|
838|    private function mapSeriesByCategory(array $categories, array $values): array
839|    {
840|        $map = [];
841|        foreach ($categories as $index => $category) {
842|            $map[(string) $category] = (float) ($values[$index] ?? 0);
843|        }
844|        return $map;
845|    }
846|
847|    private function palette(int $index): string
848|    {
849|        $colors = ['#F59E0B', '#EF4444', '#1F2937', '#67E8F9', '#0D9488', '#CBD5E1'];
850|        return $colors[$index % count($colors)];
851|    }
852|
853|    private function actionsForArea(float $wellbeing, float $absenceRate): array
854|    {
855|        $actions = [];
856|        if ($wellbeing < 65) {
857|            $actions[] = 'Rodar escuta qualitativa com liderança e time';
858|            $actions[] = 'Plano de ação para fatores de bem-estar abaixo do limite';
859|        }
860|        if ($absenceRate > 5) {
861|            $actions[] = 'Revisar escala, carga e recorrência de ausências';
862|        }
863|        if (count($actions) === 0) {
864|            $actions[] = 'Monitorar tendência por 30 dias';
865|        }
866|        return array_slice($actions, 0, 3);
867|    }
868|
869|    private function suggestedQuestions(array $risk, array $criticalAreas, ?array $mainCause, array $cost): array
870|    {
871|        $questions = [];
872|        if ($risk['high'] > 0) {
873|            $questions[] = ['key' => 'who-high-risk', 'label' => 'Quem são os colaboradores em risco alto?'];
874|        }
875|        if ($mainCause) {
876|            $questions[] = ['key' => 'cause-cost', 'label' => 'Quanto custa a principal causa de ausência?'];
877|        }
878|        if (count($criticalAreas) > 0) {
879|            $questions[] = ['key' => 'critical-area-plan', 'label' => 'Qual plano reduz ausência na área mais crítica?'];
880|        }
881|        if ((float) ($cost['total']['rawValue'] ?? 0) > 0) {
882|            $questions[] = ['key' => 'cost-reduction', 'label' => 'Qual redução de custo é possível no próximo ciclo?'];
883|        }
884|        return array_slice($questions, 0, 3);
885|    }
886|}
887|
Request #40 deepseek-v4-flash P:30.18K C:827 CR:27.52K CW:0 5926ms
Reasoning
Now check the well-being dashboard JS and template to verify the chart IDs used in `FINAL_QUESTION_CHART_ID` and `ANALYSIS_CHART_ID` exist. Also the backend question keys must match those in the JS. Questions from `suggestedQuestions` produce keys 'who-high-risk', 'cause-cost', 'critical-area-plan', 'cost-reduction'. The JS FINAL_QUESTION_CHART_ID has those same keys. Good. But wait — the well-being dashboard JS also has `.pa-prod-analysis[data-analysis]` mapping ANALYSIS_CHART_ID with 'wb-trajetoria-absenteismo' → 'chart-evolucao-faltas'. Is this consistent with the module for AI? AI module bem_estar_ausencia. Fine. Also the cost dashboard JS FINAL_QUESTION_CHART_ID keys: 'overpaying-no-return', 'hidden-costs-recovery', 'exit-risk'. Need to verify what questions the cost dashboard shows (maybe static in template, server-side rendered). Let me look at the cost analysis dashboard template for suggested questions markup with data-question. Let me also check whether the mapping between question keys and chart ids matches chart types. For the questions, the question includes the label + "Responda de forma objetiva...". And chart id: for 'overpaying-no-return' → 'chart-custo-produtividade'; 'hidden-costs-recovery' → 'chart-composicao-custos'; 'exit-risk' → 'chart-custo-produtividade'. Now, is there a real issue? The old code for cost analysis used `.pa-ar-suggested-question`? Let me check whether cost template previously had `.pa-ar-suggested-question` elements, and how the click handler previously worked. The old code in cost dashboard bound `.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn` but only did requestAnalysis when key mapped. `.pa-ar-suggested-question` presumably had data-question not data-analysis so nothing happened. This PR now adds functionality. But is there any question key mismatch between template and JS for cost? Let me read the cost template to see question keys. Also check cost dashboards to see chart IDs in chartMap - need to confirm chart IDs for cost analysis endpoints exist in the cost backend (visao_geral_custos) adapter, e.g., 'chart-evolucao-custo-total', 'chart-custo-produtividade', 'chart-composicao-custos'. That mapping is in cost-analysis-dashboard.js and cost template. Let me search the backend or chart config to see the IDs. Let me read the cost analysis dashboard template and JS relevant sections.
Tool Calls (3)
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Show Details
{"file_path": "public/js/people-analytics/modules/cost-analysis-dashboard.js", "start_line": 1240, "end_line": 1380}
File: public/js/people-analytics/modules/cost-analysis-dashboard.js (Total lines: 1401)
IS_TRUNCATED: false
LINE_RANGE: 1240-1380
1240|        console.error('[CostAnalysis] /mercado falhou:', err);
1241|        grid.innerHTML = '<div class="pa-ar-table__empty">Erro ao carregar dados de mercado.</div>';
1242|      });
1243|  }
1244|
1245|  // =====================================================================
1246|  // BIND UI ACTIONS / FILTROS
1247|  // =====================================================================
1248|  function escapeHtml(value) {
1249|    const div = document.createElement('div');
1250|    div.textContent = value == null ? '' : String(value);
1251|    return div.innerHTML;
1252|  }
1253|
1254|  function firstMeaningfulAnalysisText(analysis) {
1255|    if (!analysis) return '';
1256|    if (analysis.summary) return analysis.summary;
1257|
1258|    const fields = [analysis.key_insights, analysis.projections, analysis.attention_points, analysis.recommended_actions, analysis.limitations];
1259|    for (let i = 0; i < fields.length; i++) {
1260|      const items = Array.isArray(fields[i]) ? fields[i].filter(Boolean) : [];
1261|      if (items.length > 0) return items[0];
1262|    }
1263|
1264|    return '';
1265|  }
1266|
1267|  function requestFinalQuestionAnalysis(button) {
1268|    if (!button || !window.PeopleAnalytics || !window.PeopleAnalytics.AdrianaChartAnalysis) return;
1269|
1270|    const questionKey = button.getAttribute('data-question') || '';
1271|    const questionLabel = button.textContent.trim() || 'Pergunta sugerida';
1272|    const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-evolucao-custo-total';
1273|    const finalEl = document.querySelector('[data-ca-final-text]');
1274|    const originalHtml = button.innerHTML;
1275|
1276|    button.disabled = true;
1277|    button.classList.add('is-loading');
1278|    button.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Gerando resposta...';
1279|    if (finalEl) finalEl.textContent = 'Gerando resposta com a Adriana...';
1280|
1281|    window.PeopleAnalytics.AdrianaChartAnalysis.request({
1282|      module: AI_MODULE,
1283|      getFilters: function () {
1284|        return currentFilters || {};
1285|      },
1286|      question: questionLabel + ' Responda de forma objetiva, usando apenas os dados de custos disponíveis.',
1287|    }, chartId)
1288|      .then(function (analysis) {
1289|        const text = firstMeaningfulAnalysisText(analysis);
1290|        if (finalEl) {
1291|          finalEl.innerHTML = '<strong>' + escapeHtml(questionLabel) + '</strong><br>' +
1292|            (text ? escapeHtml(text) : 'A Adriana não encontrou dados suficientes para responder essa pergunta no recorte atual.');
1293|        }
1294|      })
1295|      .catch(function (err) {
1296|        console.error('[CostAnalysis] pergunta sugerida falhou:', err);
1297|        if (finalEl) finalEl.textContent = 'Não foi possível gerar resposta para essa pergunta no momento.';
1298|      })
1299|      .finally(function () {
1300|        button.disabled = false;
1301|        button.classList.remove('is-loading');
1302|        button.innerHTML = originalHtml;
1303|      });
1304|  }
1305|
1306|  function bindUiActions() {
1307|    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
1308|      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
1309|        module: AI_MODULE,
1310|        chartMap: ANALYSIS_CHART_ID,
1311|        selector: '.pa-ca-dash .pa-prod-analysis[data-analysis]',
1312|        getFilters: function () {
1313|          return currentFilters || {};
1314|        },
1315|        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Custos.',
1316|      });
1317|    }
1318|
1319|    document.querySelectorAll('[data-export-chart]').forEach(function (btn) {
1320|      btn.addEventListener('click', function () {
1321|        const id = btn.getAttribute('data-export-chart');
1322|        const chart = chartRegistry.get(id);
1323|        if (chart && chart.exportChart) {
1324|          try { chart.exportChart({ type: 'image/png', filename: 'analise-custos-' + id }); }
1325|          catch (e) { console.warn('[CostAnalysis] export falhou', e); }
1326|        } else {
1327|          console.info('[CostAnalysis] export ainda não disponível para', id);
1328|        }
1329|      });
1330|    });
1331|
1332|    document.querySelectorAll('.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn').forEach(function (el) {
1333|      const mappedKey = el.getAttribute('data-analysis');
1334|      if (mappedKey && ANALYSIS_CHART_ID[mappedKey]) return;
1335|
1336|      el.addEventListener('click', function (ev) {
1337|        ev.preventDefault();
1338|        const key = el.getAttribute('data-analysis');
1339|        if (el.classList.contains('pa-ar-suggested-question')) {
1340|          requestFinalQuestionAnalysis(el);
1341|          return;
1342|        }
1343|        console.info('[CostAnalysis] análise solicitada:', key || el.getAttribute('data-question'));
1344|      });
1345|    });
1346|  }
1347|
1348|  function bindPeriodSelect() {
1349|    const select = document.getElementById('caPeriodSelect');
1350|    if (!select) return;
1351|    select.addEventListener('change', function () {
1352|      currentFilters.periodo = select.value;
1353|      reloadAll(currentFilters);
1354|    });
1355|  }
1356|
1357|  function bindGlobalFilterListener() {
1358|    document.addEventListener('peopleAnalyticsGlobalFilterUpdate', function (event) {
1359|      const filters = (event && event.detail && event.detail.filters) || {};
1360|      currentFilters = Object.assign({}, currentFilters, filters);
1361|      reloadAll(currentFilters);
1362|    });
1363|  }
1364|
1365|  // =====================================================================
1366|  // RELOAD ALL
1367|  // =====================================================================
1368|  function reloadAll(filters) {
1369|    loadKpis(filters);
1370|    loadExecutiveReading(filters);
1371|    loadCostBreakdown(filters);
1372|    loadPayrollTrajectory(filters);
1373|    loadDiagnosticCards(filters);
1374|    loadCostMap(filters);
1375|    loadCostConcentration(filters);
1376|    loadTopTeams(filters);
1377|    loadInternalVariation(filters);
1378|    loadCompaRatioDistribution(filters);
1379|    loadCriticalRoles(filters);
1380|    loadInvestmentFunnel(filters);
code_search
Show Details
{"search_text": "data-question", "file_patterns": ["templates/people_analytics/cost_analysis_dashboard.html.twig"]}
File: templates/people_analytics/cost_analysis_dashboard.html.twig
Match lines: 3
563|					<button type="button" class="pa-ar-suggested-question" data-question="overpaying-no-return">
567|					<button type="button" class="pa-ar-suggested-question" data-question="hidden-costs-recovery">
571|					<button type="button" class="pa-ar-suggested-question" data-question="exit-risk">

code_search
Show Details
{"search_text": "pa-prod-analysis", "file_patterns": ["templates/people_analytics/cost_analysis_dashboard.html.twig", "templates/people_analytics/well_being_absence_dashboard.html.twig"]}
File: templates/people_analytics/cost_analysis_dashboard.html.twig
Match lines: 3
186|				<button type="button" class="pa-prod-analysis" data-analysis="ca-trajetoria-folha">
187|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
188|					<span class="pa-prod-analysis__label">Gerar Análise</span>

File: templates/people_analytics/well_being_absence_dashboard.html.twig
Match lines: 2
137|				<button type="button" class="pa-prod-analysis" data-analysis="wb-trajetoria-absenteismo">
138|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">

Request #41 deepseek-v4-flash P:33.07K C:753 CR:30.98K CW:0 6026ms
Reasoning
Now I see that in cost analysis dashboard, `.pa-ar-suggested-question` buttons exist and now they bind `requestFinalQuestionAnalysis`. Previously the forEach bound clicks too, but the old code only did requestAnalysis for key mapped data-analysis. Suggested questions didn't have data-analysis so were no-ops (only console.info). Now they function. Also there's `.pa-ar-corr-card__btn` in cost dashboard selector, but the cost template — does it contain `.pa-ar-corr-card__btn`? Let me check. It's bound in the JS loop. In cost template probably there are `.pa-ar-corr-card__btn`? Search earlier found those only in attraction-retention template (`.pa-ar-corr-card__btn` data-analysis corr-*). Actually the search only searched templates/people_analytics/attraction_retention_dashboard.html.twig for that class? The code_search returned matches across files: cost JS binds it, attraction JS binds them, but template matches only in attraction-retention template. So cost template may not include that class. Fine. Now important: in cost template lines 563-571 the suggested question buttons exist in DOM at load (static). Then bindUiActions attaches click handler to `.pa-ar-suggested-question`. But also at the top of that forEach, for elements whose `data-analysis` maps to ANALYSIS_CHART_ID, it returns early (skip). Suggested questions don't have data-analysis so they get bound. Good. But wait — in cost template, is the suggested question's `.pa-prod-analysis` button (line 186, `ca-trajetoria-folha`) matched by the forEach selector `.pa-prod-analysis`? Yes, it has data-analysis mapped in ANALYSIS_CHART_ID so the forEach returns (skips). The helper `.bind` handles it (bound via jQuery). Good, no double handling. Now, what about the helper binding selector `.pa-ca-dash .pa-prod-analysis[data-analysis]` — does the cost template wrap page in `.pa-ca-dash`? Need to confirm that class exists in the template. Search. Also confirm `.pa-wb-dash` in well-being template and `.pa-prod-dash` in produtividade template exist, else helper will never bind and the analysis buttons become inert (regression: previously buttons did something). This is a real functional regression risk: if the wrapper class doesn't match, no AI analysis. Let me search the templates for these wrapper classes.
Tool Calls (3)
code_search
Show Details
{"search_text": "pa-ca-dash", "file_patterns": ["templates/people_analytics/cost_analysis_dashboard.html.twig"]}
File: templates/people_analytics/cost_analysis_dashboard.html.twig
Match lines: 2
10|	   pa-ar-dash + pa-ca-dash para herdar tokens e adicionar overrides. #}
23|<div class="zero-padding pa-prod-dash pa-ar-dash pa-ca-dash modern-layout" data-module="{{ module }}">

code_search
Show Details
{"search_text": "pa-wb-dash", "file_patterns": ["templates/people_analytics/well_being_absence_dashboard.html.twig"]}
File: templates/people_analytics/well_being_absence_dashboard.html.twig
Match lines: 3
9|	   Wrapper triplo `pa-prod-dash pa-ar-dash pa-wb-dash` herda tudo e permite
10|	   overrides escopados em `.pa-wb-dash`. #}
22|<div class="zero-padding pa-prod-dash pa-ar-dash pa-wb-dash modern-layout" data-module="{{ module }}">

code_search
Show Details
{"search_text": "pa-prod-dash", "file_patterns": ["templates/people_analytics/produtividade_dashboard.html.twig"]}
File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 2
16|<div class="zero-padding pa-prod-dash modern-layout" data-module="{{ module }}">
59|	<div class="pa-prod-dash__content">

Request #42 deepseek-v4-flash P:34.1K C:2.8K CR:33.79K CW:0 20723ms
Reasoning
The wrapper classes exist. Good. But wait — there's an important subtlety. The well-being dashboard and produtividade dashboard pages both have classes `pa-prod-dash pa-ar-dash ...`? Cost page wrapper has `pa-prod-dash pa-ar-dash pa-ca-dash`. Well-being wrapper has `pa-prod-dash pa-ar-dash pa-wb-dash`. Now, the helper selector for cost is `.pa-ca-dash .pa-prod-analysis[data-analysis]`. In cost page, `.pa-prod-analysis` buttons are inside `.pa-ca-dash` so fine. In well-being, the helper selector `.pa-wb-dash .pa-prod-analysis[data-analysis]`. The well-being page also has `pa-prod-dash` wrapper. Fine. Now, another important issue: In well-being template, are there `.pa-prod-analysis` buttons at page load that are also bound elsewhere? Wait, well-being dashboards only have one `.pa-prod-analysis` (line 137). Fine. Now, let me look at the well-being dashboard chart IDs in the template to check the analysis chart mapping: 'wb-trajetoria-absenteismo' → 'chart-evolucao-faltas'. Let me confirm there is a chart with id 'chart-evolucao-faltas' and that in well-being module adapter this ID is registered (since AI analysis fetch from bem_estar_ausencia adapter requires the chart to be known there). Also check cost: chart IDs 'chart-evolucao-custo-total' etc. exist in the visao_geral_custos module. Let me look at the AI analysis service or chart data service to know how it validates chartId. Let me read ChartAiAnalysisService. Let me also examine the attraction-retention dashboard file as the "reference" for how requestFinalQuestionAnalysis & render were used elsewhere (it was pre-existing). Actually attraction-retention-dashboard.js already has functions like this - the code appears copied from there. Let me check that file at lines ~1400-1500 to see how they did question flow (maybe they had their own escapeHtml etc.). Not necessary. Let me focus on actual issues: 1. In cost-analysis-dashboard.js's new `requestFinalQuestionAnalysis`, the question includes the question label directly. Note potential issue: for suggested questions that have no mapped chart id, they default to 'chart-evolucao-custo-total'. But do all 3 buttons map to real charts? Let me verify chart IDs exist in the cost analysis module. If question keys default fine. 2. `questionKey` variable is read but never used except... wait in cost version: `const questionKey = button.getAttribute('data-question') || '';` then used in chartId mapping. OK used. 3. The `.finally` restores `button.innerHTML = originalHtml`. Meanwhile helper's bind for `pa-prod-analysis` uses a label. Not relevant. 4. Duplicate click handler concern: In cost page, `bindUiActions` is called multiple times? It's presumably called once at DOM ready. Let me check the bottom of the file. If charts reload with AJAX replacing content, bound handlers on replaced elements die. Let's see cost: the `.pa-prod-analysis` button at line 186 in template - static, in DOM. The `.pa-ar-suggested-question` buttons at line 563 - static too. But wait, `.pa-prod-analysis` in cost template line 186 has data-analysis `ca-trajetoria-folha` and is a static button inside a card `pa-prod-card` (need to confirm `.pa-prod-card` in that template). The helper looks for `button.closest('.pa-prod-card')`. If the button isn't inside `.pa-prod-card`, getOrCreatePanel returns null and renderAnalysis silently does nothing (panel null). Let's check template structure around line 186 for cost and well-being. Also the helper getOrCreatePanel uses `[data-analysis-panel="${key}"]`; the key is from data-analysis attr. Fine. Let me read template around line 180-200 in cost template and 130-150 in well-being template to confirm button inside card. Also, produtividade template: analysis buttons appear? They were bound previously via `document.querySelectorAll('[data-analysis]')`. Let me confirm they're inside `.pa-prod-card` too, else regression from working before to now not rendering panel. Actually previously produtividade bound `document.querySelectorAll('[data-analysis]')` and called requestAnalysis which used getAnalysisPanel querying card. So previously any `[data-analysis]` element anywhere in document (any `[data-analysis]`, could be chart with data-analysis? careful). Hmm — previously in produtividade, bindUiActions bound EVERY `[data-analysis]` element, but requestAnalysis would look up ANALYSIS_CHART_ID[key]; if not mapped, returns early (no-op). So it only worked for elements with data-analysis in the map. New code binds `.pa-prod-dash .pa-prod-analysis[data-analysis]`. Need to check there aren't analysis buttons OUTSIDE .pa-prod-dash wrapper or with other class names previously bound (e.g., attraction-retention module shares template? no). But wait: produtividade page and well-being page and cost page all share the same URL space, but separate templates. Each template includes only its own module JS + helper. Good. Now, let's check the attraction-retention dashboard: it also has buttons `.pa-ar-corr-card__btn` with data-analysis `corr-engagement-risk` etc. But those are in the attraction-retention module, which does NOT include the adriana-chart-analysis helper and wasn't changed. Fine. Now consider the well-being dashboard: does it already include attraction-retention-dashboard.js? Well-being template loads specific scripts. Let me check what scripts well-being loads: print-report.js, adriana-chart-analysis.js, well-being-absence-dashboard.js. Fine. Now deeper: check well-being dashboard template button at line 137 inside a `.pa-prod-card`? Let me read. Also check that `.pa-prod-analysis` in well-being template has span label classes so helper loading text works; not important. Now the more subtle but important functional issue: **In the well-being dashboard, the `.pa-prod-analysis` button used to... did nothing?** Actually previous well-being code bound `.pa-prod-analysis` clicks to console.info only. So wiring is new functionality. Fine. Let me now look for the actual rendering target. When the user clicks "Gerar Análise" for a chart, the helper appends a panel after the button inside card `.pa-prod-card`. In produtividade/cost previously panels were appended to card similarly. OK. Now the big issue I noticed in the PHP: `$cost['total']['rawValue']`. In `adaptInsights`, `$cost = $this->adaptCostTotals($filters)` where adaptCostTotals returns total with rawValue now. Good. Then `hasMeaningfulData` uses rawValue. But note `adaptCostTotals` ensures `$total = max(1.0, array_sum(...))`? No, in `adaptCostComponents` they `$total = max(1.0, array_sum(...))`? Let me re-read: In the earlier method at line 384 there's `$total = max(1.0, array_sum(...))` — that's within some other function (maybe adaptCost...). Wait lines 370-390 are a function that returns `['rows' => $components]`. Let me identify: it starts before line 370. Let me read 330-395. Actually the function at 393 is adaptCostTotals, and the preceding function (ends line 391) returning `['rows' => $components]` is probably adaptCostComponents, and it computes `$total = max(1.0, array_sum(array_column($components,'value')))` where component values = $cost * factor, cost being absences estimate. Then adaptCostTotals sums `array_column($components,'value')` again into $total and adds rawValue. Note the `$total` here is based on estimated cost, where if there are zero absences, `adaptCost` for the whole? Look at earlier part of that function: if `$cost <= 0`, cost derived from absence licenseDays*avgDaily... If no absence at all, cost = 0, components all zero, total 0 (well, max(1.0,...) but then adaptCostTotals sums component values = 0, so total 0). Actually wait: adaptCostComponents' $total variable is only used to compute percentages; they do `$total = max(1.0, array_sum(...))` to avoid division by zero when computing percent. But the returned rows' value components remain 0. So adaptCostTotals total = sum = 0 → rawValue 0 → hasMeaningfulData false if everything else zero. Good. So the change handles empty data. Fine. But wait — the insight 'executive', 'at_risk_insight', 'cost_attention' still get generated with fallback data even when no meaningful data (e.g., "Absenteísmo em —%..."?). Actually adaptInsights always produces 'executive' with kpiMap values possibly '—'. Only the 'final' message changes. Given "Não gerar conclusões fortes quando dados do recorte estiverem vazios", the new final text addresses the 'final' field. The front probably shows these insights. Hmm the ask: "período sem dados e solicitar análise → validar mensagem de dados insuficientes". So the final field is the relevant one. Fine. Now check the suggested questions change: previously `if (($cost['total']['value'] ?? '') !== '')` — value is a formatted string "R$ 0"? Actually formatMoneyFull(0) = "R$ 0", which !== '' so previously cost-reduction question was always shown even when cost 0. Now only when rawValue > 0. Improvement. But there is an inconsistency: in `adaptInsights`, `hasMeaningfulData` includes `count($criticalAreas) > 0`, meaning critical areas present → meaningful. But suggestedQuestions still may be empty when cost is 0 and risk 0 and mainCause null but critical areas > 0? If critical areas exist then mainCause may be null. Then questions = critical-area-plan only. fine. Now cross-check: `suggestedQuestions` only gets called in adaptInsights. In other contexts (e.g., ajax insights endpoint used by another dashboard?) maybe this adaptInsights is only for the insights reading. The keys are used in well-being JS mapping to chart ids. The mapping chart ids for questions: 'who-high-risk' → 'chart-correlacao-bem-estar-ausencia', 'cause-cost' → 'chart-ausencias-motivo', 'critical-area-plan' → 'chart-bem-estar-area', 'cost-reduction' → 'chart-custo-ausencias-area'. Do these chart ids exist in bem_estar_ausencia module? Check service getChartData uses chart ids in the well-being module; let's search for these chart IDs. Actually more important: The AI analysis service fetches the chart's data by chartId for that module from the underlying data service. If chartId doesn't exist, the AI service may error. Let me check the well-being controller's ai-analysis endpoint; maybe it's a different route than the generic PeopleAnalyticsApiController? Let's see which controller serves `/people-analytics/api/bem_estar_ausencia/chart/.../ai-analysis`. There's the generic PeopleAnalyticsApiController which accepts module 'bem_estar_ausencia', and routes to ChartAiAnalysisService->analyze. And WellBeingAbsenceController probably handles other endpoints under a different prefix (e.g., /people-analytics/well-being-absence). Let me confirm well-being module chart ids referenced. Let me search for 'chart-evolucao-faltas' and 'chart-correlacao-bem-estar-ausencia' in backend service/config.
Tool Calls (2)
code_search
Show Details
{"search_text": "chart-evolucao-faltas|chart-correlacao-bem-estar-ausencia|chart-custo-ausencias-area|chart-bem-estar-area|chart-ausencias-motivo", "use_perl_regexp": true}
File: public/js/people-analytics/chart-detail-filters.js
Match lines: 5
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',
67|			'chart-bem-estar-area': '/people-analytics/api/bem-estar-ausencia/grafico/chart-bem-estar-area',
69|			'chart-correlacao-bem-estar-ausencia': '/people-analytics/api/bem-estar-ausencia/grafico/chart-correlacao-bem-estar-ausencia',
71|			'chart-custo-ausencias-area': '/people-analytics/api/bem-estar-ausencia/grafico/chart-custo-ausencias-area',

File: public/js/people-analytics/modules/well-being-absence-dashboard.js
Match lines: 6
60|    'wb-trajetoria-absenteismo': 'chart-evolucao-faltas',
63|    'who-high-risk': 'chart-correlacao-bem-estar-ausencia',
64|    'cause-cost': 'chart-ausencias-motivo',
65|    'critical-area-plan': 'chart-bem-estar-area',
66|    'cost-reduction': 'chart-custo-ausencias-area',
828|    const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-custo-ausencias-area';

File: src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php
Match lines: 6
230|        $absences = $this->service->getChartData('chart-evolucao-faltas', $filters);
309|        $chart = $this->service->getChartData('chart-ausencias-motivo', $filters);
368|        $costChart = $this->service->getChartData('chart-custo-ausencias-area', $filters);
459|        $absences = $this->service->getChartData('chart-evolucao-faltas', $filters);
555|        $wellbeingArea = $this->service->getChartData('chart-bem-estar-area', $filters);
556|        $costArea = $this->service->getChartData('chart-custo-ausencias-area', $filters);

File: src/Service/PeopleAnalytics/Metadata/BemEstarAusenciaMetadata.php
Match lines: 15
158|            ['id' => 'chart-evolucao-faltas', 'title' => 'Evolução de Ausências Operacionais', 'chartType' => 'line', 'size' => 'half'],
159|            ['id' => 'chart-ausencias-motivo', 'title' => 'Ausências por Motivo de Licença', 'chartType' => 'column', 'size' => 'half'],
163|            ['id' => 'chart-bem-estar-area', 'title' => 'Bem-estar por Área', 'chartType' => 'bar', 'size' => 'half'],
165|            ['id' => 'chart-correlacao-bem-estar-ausencia', 'title' => 'Correlação Bem-estar × Ausência', 'chartType' => 'scatter', 'size' => 'half'],
167|            ['id' => 'chart-custo-ausencias-area', 'title' => 'Custo Estimado de Ausências por Área', 'chartType' => 'area', 'size' => 'half'],
180|            'chart-evolucao-faltas' => [
185|            'chart-ausencias-motivo' => [
205|            'chart-bem-estar-area' => [
215|            'chart-correlacao-bem-estar-ausencia' => [
225|            'chart-custo-ausencias-area' => [
293|            'chart-evolucao-faltas' => [
305|            'chart-ausencias-motivo' => [
356|            'chart-bem-estar-area' => [
380|            'chart-correlacao-bem-estar-ausencia' => [
403|            'chart-custo-ausencias-area' => [

File: src/Service/PeopleAnalytics/WelfareAbsenceService.php
Match lines: 10
1207|     * - chart-evolucao-faltas: Evolução de Faltas Operacionais (Line)
1208|     * - chart-ausencias-motivo: Ausências por Motivo (Column)
1214|     * - chart-bem-estar-area: Bem-Estar por Área (Bar)
1218|     * - chart-correlacao-bem-estar-ausencia: Bem-Estar vs Ausência (Scatter)
1220|     * - chart-custo-ausencias-area: Custo por Área (Column)
1241|            'chart-evolucao-faltas' => $this->evolucaoFaltas($companyId, $filters),
1242|            'chart-ausencias-motivo' => $this->ausenciasPorMotivo($companyId, $filters),
1246|            'chart-bem-estar-area' => $this->bemEstarArea($companyId, $filters),
1248|            'chart-correlacao-bem-estar-ausencia' => $this->correlacaoBemEstarAusencia($companyId, $filters),
1250|            'chart-custo-ausencias-area' => $this->custoAusenciasArea($companyId, $filters),

code_search
Show Details
{"search_text": "chart-custo-produtividade|chart-composicao-custos|chart-evolucao-custo-total", "use_perl_regexp": true}
File: public/js/people-analytics/chart-detail-filters.js
Match lines: 3
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',
106|			'chart-custo-produtividade': '/people-analytics/api/visao-geral-custos/grafico/chart-custo-produtividade',

File: public/js/people-analytics/modules/cost-analysis-dashboard.js
Match lines: 5
69|    'ca-trajetoria-folha': 'chart-evolucao-custo-total',
72|    'overpaying-no-return': 'chart-custo-produtividade',
73|    'hidden-costs-recovery': 'chart-composicao-custos',
74|    'exit-risk': 'chart-custo-produtividade',
1272|    const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-evolucao-custo-total';

File: public/js/people-analytics/modules/visao-geral-custos-charts.js
Match lines: 4
33|        EVOLUCAO_CUSTO: 'chart-evolucao-custo-total',
34|        COMPOSICAO_CUSTOS: 'chart-composicao-custos',
41|        CUSTO_PRODUTIVIDADE: 'chart-custo-produtividade',
274|     * @param {string} chartId ID completo do gráfico (ex: 'chart-evolucao-custo-total')

File: src/Controller/Api/PeopleAnalytics/CostAnalysisController.php
Match lines: 2
309|        $chart = $this->service->getChartData('chart-composicao-custos', $filters);
346|        $chart = $this->service->getChartData('chart-evolucao-custo-total', $filters);

File: src/Controller/Api/PeopleAnalytics/CostOverviewController.php
Match lines: 3
98|     * - chart-evolucao-custo-total: Gráfico 1 - Evolução do Custo Total
99|     * - chart-composicao-custos: Gráfico 2 - Composição do Custo por Categoria
106|     * - chart-custo-produtividade: Gráfico 9 - Custo × Produtividade (opcional)

File: src/Service/PeopleAnalytics/CostOverviewService.php
Match lines: 5
177|            // O frontend pode enviar IDs como "chart-composicao-custos-container"
178|            // mas o service espera "chart-composicao-custos"
191|                'chart-evolucao-custo-total' => $this->getCostEvolution($filters),
192|                'chart-composicao-custos' => $this->getCostComposition($filters),
199|                'chart-custo-produtividade' => $this->getCostVsProductivity($filters),

File: src/Service/PeopleAnalytics/Metadata/VisaoGeralCustosMetadata.php
Match lines: 9
37|            ['id' => 'chart-evolucao-custo-total', 'title' => 'Evolução do Custo Total', 'chartType' => 'line', 'size' => 'half'],
38|            ['id' => 'chart-composicao-custos', 'title' => 'Composição do Custo por Categoria', 'chartType' => 'pie', 'size' => 'half'],
47|            // ['id' => 'chart-custo-produtividade', 'title' => 'Custo versus Produtividade', 'chartType' => 'scatter', 'size' => 'half'],
55|            'chart-evolucao-custo-total' => [
60|            'chart-composicao-custos' => [
95|            'chart-custo-produtividade' => [
111|            'chart-evolucao-custo-total' => ['periodo', 'modo_data', 'status', 'centro-custo', 'gestor-equipe'],
112|            'chart-composicao-custos' => ['periodo', 'categoria-despesa', 'agrupar_outros'],
119|            'chart-custo-produtividade' => ['periodo', 'metrica_produtividade', 'remover_outliers', 'agregacao'],

Request #43 deepseek-v4-flash P:39.23K C:1.28K CR:36.86K CW:0 9179ms
Reasoning
Wait, key point: The generic AI endpoint module list in PeopleAnalyticsApiController includes 'bem_estar_ausencia' and 'visao_geral_custos'. Those URLs use underscores: `bem_estar_ausencia`. The dashboard chart-data URLs use hyphens, but that's a different controller route. The JS helper builds `/people-analytics/api/bem_estar_ausencia/chart/.../ai-analysis`. ChartAiAnalysisService->analyze('bem_estar_ausencia', chartId, ...) — the service must map module to its metadata/adapter to get chart data and company filters. Let me verify ChartAiAnalysisService supports module bem_estar_ausencia, and whether chart 'chart-custo-produtividade' for visao_geral_custos is in the metadata (the metadata line 47 shows it's commented out in the list!). Actually VisaoGeralCustosMetadata: line 47 says `// ['id' => 'chart-custo-produtividade', ...]` — commented out from the available charts list, but lines 95/119 do define 'chart-custo-produtividade' in mapping arrays, so the chart data is still available in the service. And CostOverviewService handles 'chart-custo-produtividade'. ChartAiAnalysisService presumably calls into the same services per module. Not necessarily an issue. Now the more concerning question about the well-being dashboard question key handling: The suggested questions are loaded via an API endpoint (`loadInsights`) which returns `questions` with keys generated server-side by `suggestedQuestions()`. The mapping is correct. But the well-being JS mapping FINAL_QUESTION_CHART_ID includes keys and JS default fallback `'chart-custo-ausencias-area'`. If a question key appears that's not mapped (e.g., because the backend returns a different key set), it falls back to a chart about cost area, which could answer unrelated question. But since backend returns exactly these 4 keys, it's fine. Let me now consider produtividade module: It binds helper with module 'produtividade' and chartMap ANALYSIS_CHART_ID. Need to verify ANALYSIS_CHART_ID is defined in produtividade file still. The diff removed requestAnalysis which used it, but ANALYSIS_CHART_ID const is presumably still defined near the top (unchanged). Let's check. Let me also review produtividade's bindUiActions ordering and remaining references to removed functions like `notify`. Let me read around line 1180-1210 of produtividade-dashboard.js and the top constants. Also check whether `getAnalysisPanel` and other remaining functions in produtividade that were not removed are now dead code (dead code rule). They removed requestAnalysis, renderAnalysisResult, renderAnalysisList, setAnalysisLoading, but left getAnalysisPanel? The diff shows getAnalysisPanel retained (function with key param). If requestAnalysis was the only consumer of getAnalysisPanel, now getAnalysisPanel is dead code. Let me check remaining uses of getAnalysisPanel in produtividade file. Wait in the diff for produtividade: removed `setAnalysisLoading`, removed `renderAnalysisList`, removed `renderAnalysisResult`, removed `requestAnalysis`. But `getAnalysisPanel` remains (its diff was only the function above setAnalysisLoading? Actually the diff shows getAnalysisPanel unchanged in that region (lines 277-... shows removal of setAnalysisLoading right before getAnalysisPanel; getAnalysisPanel remains at lines 280-296 approx as unchanged code; only setAnalysisLoading and renderAnalysisList/renderAnalysisResult and requestAnalysis removed). So getAnalysisPanel may be dead now if nothing else references it. Let me search for `getAnalysisPanel` in produtividade-dashboard.js. Similarly cost-analysis-dashboard.js removed getAnalysisPanel, notify, etc. In cost file, are there remaining references to removed functions? Removed: notify, setAnalysisLoading, getAnalysisPanel, renderAnalysisList, renderAnalysisResult, requestAnalysis (the old one). But careful: they added `requestFinalQuestionAnalysis`, and the helper module has functions with similar names but module-scoped. Within cost file, is there any reference to `renderAnalysisList`, `notify`, `requestAnalysis`, `getAnalysisPanel` left? Let me search. If the file still references `notify(...)` somewhere else (e.g., in loadExecutiveReading), that would be a ReferenceError → bug. Let me search for each. Let me search across the three dashboard JS files for removed names.
Tool Calls (3)
code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "getAnalysisPanel|renderAnalysisResult|renderAnalysisList|setAnalysisLoading|requestAnalysis|notify", "use_perl_regexp": true}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 3
275|      const panel = getAnalysisPanel(key, false);
280|  function getAnalysisPanel(key, createIfMissing) {
1294|  function notify(msg) {

code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/cost-analysis-dashboard.js"], "search_text": "getAnalysisPanel|renderAnalysisResult|renderAnalysisList|setAnalysisLoading|notify|requestAnalysis", "use_perl_regexp": true}
No matches found
code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/well-being-absence-dashboard.js"], "search_text": "renderAnalysis|requestAnalysis|getAnalysisPanel|notify\\(", "use_perl_regexp": true}
No matches found
Request #44 deepseek-v4-flash P:40.6K C:384 CR:40.45K CW:0 3382ms
Reasoning
In produtividade file, getAnalysisPanel is still used at line 275 (some other function). Let me look at lines 260-300 to understand context - perhaps there is a function that renders something else (maybe "notificação de dica"?). And notify still defined at 1294 - used elsewhere likely. Now check whether in produtividade the removed functions are referenced anywhere else (no leftover). Let's read the produtividade area around 260-300 and around ANALYSIS_CHART_ID definitions, and bindUiActions at 1195-1210. Also check cost file: no leftover references. Well-being: no leftover references (wasn't referencing anyway). Now let me read well-being-absence-dashboard.js in full relevant sections: constants near top (lines 40-100), the areas around lines 780-1000 where the new functions and bindAnalysisActions are, to check for leftover code and logic. Let me read 1-120 of well-being file, and 780-1010.
Tool Calls (2)
file_read
Show Details
{"file_path": "public/js/people-analytics/modules/produtividade-dashboard.js", "start_line": 240, "end_line": 300}
File: public/js/people-analytics/modules/produtividade-dashboard.js (Total lines: 1322)
IS_TRUNCATED: false
LINE_RANGE: 240-300
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]');
file_read
Show Details
{"file_path": "public/js/people-analytics/modules/well-being-absence-dashboard.js", "start_line": 40, "end_line": 120}
File: public/js/people-analytics/modules/well-being-absence-dashboard.js (Total lines: 1019)
IS_TRUNCATED: false
LINE_RANGE: 40-120
40|    colaboradoresRisco:    false,
41|    componentesCusto:      false,
42|    custoTotais:           false,
43|    areasCriticas:         false,
44|    insights:              false,
45|  };
46|
47|  console.info('[WellBeingAbsence] dashboard carregado.',
48|    'USE_MOCK_FALLBACK =', USE_MOCK_FALLBACK,
49|    '| FORCE_MOCK =', FORCE_MOCK
50|  );
51|
52|  window.PeopleAnalytics = window.PeopleAnalytics || {};
53|
54|  // =====================================================================
55|  // CONFIG
56|  // =====================================================================
57|  const API_BASE = '/people-analytics/api/well-being-absence';
58|  const AI_MODULE = 'bem_estar_ausencia';
59|  const ANALYSIS_CHART_ID = {
60|    'wb-trajetoria-absenteismo': 'chart-evolucao-faltas',
61|  };
62|  const FINAL_QUESTION_CHART_ID = {
63|    'who-high-risk': 'chart-correlacao-bem-estar-ausencia',
64|    'cause-cost': 'chart-ausencias-motivo',
65|    'critical-area-plan': 'chart-bem-estar-area',
66|    'cost-reduction': 'chart-custo-ausencias-area',
67|  };
68|
69|  function resolveBrandColors() {
70|    const root = document.documentElement;
71|    const css = (name) => getComputedStyle(root).getPropertyValue(name).trim();
72|    return {
73|      teal:           css('--app-brand-primary-emphasis') || '#006B78',
74|      tealLine:       css('--app-brand-primary') || '#2EA8B5',
75|      orange:         '#F59E0B',
76|      red:            '#EF4444',
77|      grayDark:       '#2F343A',
78|      grayLine:       '#D9E1E5',
79|      text:           '#1F2933',
80|      text2:          '#6B7280',
81|      medicalShort:   '#F59E0B',
82|      medicalLong:    '#EF4444',
83|      justified:      '#2F343A',
84|      unjustified:    css('--company-theme1-300') || '#67E8F9',
85|      total:          css('--app-brand-primary') || '#14B8A6',
86|    };
87|  }
88|
89|  const COLORS = resolveBrandColors();
90|
91|  // =====================================================================
92|  // MOCK PAYLOADS
93|  // =====================================================================
94|  const MOCK = {
95|    kpis: [
96|      {
97|        key: 'absence-rate',
98|        title: 'Taxa de Absenteísmo',
99|        value: '4,2%',
100|        delta: '+0,8 pp no período',
101|        description: 'setor tech 3,1%',
102|        trendType: 'negative',
103|        trendIcon: 'fa-arrow-trend-up',
104|      },
105|      {
106|        key: 'absence-days',
107|        title: 'Dias-Ausência no Período',
108|        value: '4.832',
109|        delta: 'média de 10,5 dias por colaborador',
110|        description: '',
111|        trendType: 'neutral',
112|      },
113|      {
114|        key: 'monthly-cost',
115|        title: 'Custo Mensal do Absenteísmo',
116|        value: 'R$ 380K',
117|        delta: 'R$ 4,6M ao ano',
118|        description: '1,2% da folha anual',
119|        trendType: 'negative',
120|      },
Request #45 deepseek-v4-flash P:42.65K C:126 CR:40.96K CW:0 1461ms
Reasoning
Now let's read well-being file around 770-1019 to see bindAnalysisActions/loadInsights, and any place where analysis buttons rendered.
Tool Calls (1)
file_read
Show Details
{"file_path": "public/js/people-analytics/modules/well-being-absence-dashboard.js", "end_line": 1019, "start_line": 770}
File: public/js/people-analytics/modules/well-being-absence-dashboard.js (Total lines: 1019)
IS_TRUNCATED: false
LINE_RANGE: 770-1019
770|          'payroll-share':  (data && data.payrollShare)  || {},
771|          'main-component': (data && data.mainComponent) || {},
772|        };
773|        Object.keys(map).forEach(function (key) {
774|          const card = document.querySelector('[data-wb-cost-totals-key="' + key + '"]');
775|          if (!card) return;
776|          const v = card.querySelector('[data-kpi-value]');
777|          const d = card.querySelector('[data-kpi-delta]');
778|          if (v) v.textContent = map[key].value || '—';
779|          if (d) d.innerHTML = '<span class="pa-prod-kpi__delta-text">' + (map[key].caption || '') + '</span>';
780|        });
781|      })
782|      .catch(function (err) { console.error('[WellBeingAbsence] /custo-totais falhou:', err); });
783|  }
784|
785|  // =====================================================================
786|  // INSIGHTS (atenção custo + análise final)
787|  // =====================================================================
788|  function escapeHtml(value) {
789|    const div = document.createElement('div');
790|    div.textContent = value == null ? '' : String(value);
791|    return div.innerHTML;
792|  }
793|
794|  function firstMeaningfulAnalysisText(analysis) {
795|    if (!analysis) return '';
796|    if (analysis.summary) return analysis.summary;
797|
798|    const fields = [
799|      analysis.key_insights,
800|      analysis.projections,
801|      analysis.attention_points,
802|      analysis.recommended_actions,
803|      analysis.limitations,
804|    ];
805|
806|    for (let i = 0; i < fields.length; i++) {
807|      const items = Array.isArray(fields[i]) ? fields[i].filter(Boolean) : [];
808|      if (items.length > 0) return items[0];
809|    }
810|
811|    return '';
812|  }
813|
814|  function renderFinalQuestionResponse(question, analysis) {
815|    const finalEl = document.querySelector('[data-wb-final-text]');
816|    if (!finalEl) return;
817|
818|    const text = firstMeaningfulAnalysisText(analysis);
819|    finalEl.innerHTML = '<strong>' + escapeHtml(question) + '</strong><br>' +
820|      (text ? escapeHtml(text) : 'A Adriana não encontrou dados suficientes para responder essa pergunta no recorte atual.');
821|  }
822|
823|  function requestFinalQuestionAnalysis(button) {
824|    if (!button || !window.PeopleAnalytics || !window.PeopleAnalytics.AdrianaChartAnalysis) return;
825|
826|    const questionKey = button.getAttribute('data-question') || '';
827|    const questionLabel = button.textContent.trim() || 'Pergunta sugerida';
828|    const chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-custo-ausencias-area';
829|    const finalEl = document.querySelector('[data-wb-final-text]');
830|    const originalHtml = button.innerHTML;
831|
832|    button.disabled = true;
833|    button.classList.add('is-loading');
834|    button.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Gerando resposta...';
835|    if (finalEl) finalEl.textContent = 'Gerando resposta com a Adriana...';
836|
837|    window.PeopleAnalytics.AdrianaChartAnalysis.request({
838|      module: AI_MODULE,
839|      getFilters: function () {
840|        return currentFilters || {};
841|      },
842|      question: questionLabel + ' Responda de forma objetiva, sem citar nomes de colaboradores.',
843|    }, chartId)
844|      .then(function (analysis) {
845|        renderFinalQuestionResponse(questionLabel, analysis);
846|      })
847|      .catch(function (err) {
848|        console.error('[WellBeingAbsence] pergunta sugerida falhou:', err);
849|        if (finalEl) finalEl.textContent = 'Não foi possível gerar resposta para essa pergunta no momento.';
850|      })
851|      .finally(function () {
852|        button.disabled = false;
853|        button.classList.remove('is-loading');
854|        button.innerHTML = originalHtml;
855|      });
856|  }
857|
858|  function loadInsights(filters) {
859|    const costEl  = document.querySelector('[data-wb-cost-attention-text]');
860|    const finalEl = document.querySelector('[data-wb-final-text]');
861|    const questionsEl = document.querySelector('[data-wb-questions]');
862|    return forceOrFetch(FORCE_MOCK.insights, MOCK.insights, '/insights', filters, 'cards')
863|      .then(function (data) {
864|        const payload = data || {};
865|        if (costEl)  costEl.innerHTML  = payload.cost_attention || '—';
866|        if (finalEl) finalEl.innerHTML = payload.final || payload.final_analysis || '—';
867|        if (questionsEl) {
868|          const questions = payload.questions || payload.suggested_questions || [];
869|          questionsEl.innerHTML = questions.map(function (q) {
870|            const key = q.key || q.id || q.dataQuestion || 'question';
871|            const label = q.label || q.text || q.question || 'Pergunta sugerida';
872|            return '<button type="button" class="pa-ar-suggested-question" data-question="' + escapeHtml(key) + '">' +
873|              '<i class="fas fa-wand-magic-sparkles"></i>' + escapeHtml(label) +
874|            '</button>';
875|          }).join('');
876|          bindAnalysisActions(questionsEl);
877|        }
878|      })
879|      .catch(function (err) {
880|        console.error('[WellBeingAbsence] /insights falhou:', err);
881|        if (costEl)  costEl.innerHTML  = 'Não foi possível carregar o ponto de atenção.';
882|        if (finalEl) finalEl.innerHTML = 'Não foi possível carregar a análise final.';
883|      });
884|  }
885|
886|  // =====================================================================
887|  // ÁREAS CRÍTICAS E PLANO DE AÇÃO (3 cards)
888|  // =====================================================================
889|  function loadCriticalAreas(filters) {
890|    const grid = document.querySelector('[data-wb-action-grid]');
891|    if (!grid) return Promise.resolve();
892|
893|    return forceOrFetch(FORCE_MOCK.areasCriticas, MOCK.areasCriticas, '/areas-criticas', filters, 'areas')
894|      .then(function (data) {
895|        const areas = (data && data.areas) || [];
896|        if (areas.length === 0) {
897|          grid.innerHTML = '<div class="pa-ar-table__empty">Sem áreas críticas no período.</div>';
898|          return;
899|        }
900|        grid.innerHTML = areas.map(function (a) {
901|          const sev = (a.severity || 'warn').toLowerCase();
902|          const actionsList = a.actions || [];
903|          const actions = actionsList.map(function (act) { return '<li>' + act + '</li>'; }).join('');
904|          return '<div class="pa-wb-action-card">' +
905|            '<div class="pa-wb-action-card__head">' +
906|              '<span class="pa-wb-action-card__title">' + (a.title || '—') + '</span>' +
907|              '<span class="pa-wb-action-card__badge pa-wb-action-card__badge--' + sev + '">' + (a.badge || '—') + '</span>' +
908|            '</div>' +
909|            (a.sub ? '<div class="pa-wb-action-card__sub">' + a.sub + '</div>' : '') +
910|            '<p class="pa-wb-action-card__desc">' + (a.desc || '') + '</p>' +
911|            (actionsList.length > 0
912|              ? '<div class="pa-wb-action-card__actions-label">Ações</div>' +
913|                '<ul class="pa-wb-action-card__actions">' + actions + '</ul>'
914|              : '') +
915|          '</div>';
916|        }).join('');
917|      })
918|      .catch(function (err) {
919|        console.error('[WellBeingAbsence] /areas-criticas falhou:', err);
920|        grid.innerHTML = '<div class="pa-ar-table__empty">Erro ao carregar áreas críticas.</div>';
921|      });
922|  }
923|
924|  // =====================================================================
925|  // UI ACTIONS / FILTROS
926|  // =====================================================================
927|  function bindUiActions() {
928|    document.querySelectorAll('[data-export-chart]').forEach(function (btn) {
929|      btn.addEventListener('click', function () {
930|        const id = btn.getAttribute('data-export-chart');
931|        const chart = chartRegistry.get(id);
932|        if (chart && chart.exportChart) {
933|          try { chart.exportChart({ type: 'image/png', filename: 'bem-estar-' + id }); }
934|          catch (e) { console.warn('[WellBeingAbsence] export falhou', e); }
935|        } else {
936|          console.info('[WellBeingAbsence] export ainda não disponível para', id);
937|        }
938|      });
939|    });
940|
941|    bindAnalysisActions(document);
942|  }
943|
944|  function bindAnalysisActions(scope) {
945|    const root = scope || document;
946|
947|    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {
948|      window.PeopleAnalytics.AdrianaChartAnalysis.bind({
949|        module: AI_MODULE,
950|        chartMap: ANALYSIS_CHART_ID,
951|        selector: '.pa-wb-dash .pa-prod-analysis[data-analysis]',
952|        getFilters: function () {
953|          return currentFilters || {};
954|        },
955|        question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico de Bem-estar e Ausência.',
956|      });
957|    }
958|
959|    root.querySelectorAll('.pa-ar-suggested-question').forEach(function (el) {
960|      if (el.dataset.wbBound === '1') return;
961|      el.dataset.wbBound = '1';
962|      el.addEventListener('click', function (ev) {
963|        ev.preventDefault();
964|        requestFinalQuestionAnalysis(el);
965|      });
966|    });
967|  }
968|
969|  function bindPeriodSelect() {
970|    const select = document.getElementById('wbPeriodSelect');
971|    if (!select) return;
972|    select.addEventListener('change', function () {
973|      currentFilters.periodo = select.value;
974|      reloadAll(currentFilters);
975|    });
976|  }
977|
978|  function bindGlobalFilterListener() {
979|    document.addEventListener('peopleAnalyticsGlobalFilterUpdate', function (event) {
980|      const filters = (event && event.detail && event.detail.filters) || {};
981|      currentFilters = Object.assign({}, currentFilters, filters);
982|      reloadAll(currentFilters);
983|    });
984|  }
985|
986|  // =====================================================================
987|  // RELOAD ALL
988|  // =====================================================================
989|  function reloadAll(filters) {
990|    loadKpis(filters);
991|    loadExecutiveReading(filters);
992|    loadTrajectory(filters);
993|    loadDiagnosticCards(filters);
994|    loadBreakdownByType(filters);
995|    loadBreakdownByCause(filters);
996|    loadBurnoutSignals(filters);
997|    loadAtRisk(filters);
998|    loadCostComponents(filters);
999|    loadCostTotals(filters);
1000|    loadCriticalAreas(filters);
1001|    loadInsights(filters);
1002|  }
1003|
1004|  function init() {
1005|    if (!window.Highcharts) {
1006|      console.warn('[WellBeingAbsence] Highcharts não carregado.');
1007|      return;
1008|    }
1009|    const select = document.getElementById('wbPeriodSelect');
1010|    if (select && select.value) currentFilters.periodo = select.value;
1011|    bindUiActions();
1012|    bindPeriodSelect();
1013|    bindGlobalFilterListener();
1014|    reloadAll(currentFilters);
1015|  }
1016|
1017|  window.PeopleAnalytics.WellBeingAbsenceDashboard = { init: init, reload: reloadAll };
1018|})();
1019|
Request #46 deepseek-v4-flash P:45.8K C:780 CR:42.75K CW:0 6563ms
Reasoning
Notable findings in the well-being module: 1. The mock path. The well-being dashboard uses `forceOrFetch(...)`. If data comes from MOCK (no backend), the mock payload's questions keys would be strings — where do mock questions come from? `MOCK.insights`? The escapeHtml etc. still works. 2. **`renderFinalQuestionResponse` and the `.pa-ar-suggested-question` click after re-render**: `loadInsights` replaces `questionsEl.innerHTML`, and then calls bindAnalysisActions(questionsEl) — re-binding suggested question buttons each load. The bound events accumulate? Actually innerHTML replacement removes old buttons (event listeners lost), new buttons bound with wbBound guard. But new buttons always have no wbBound attr, so bound once. OK. 3. **But the click on the `.pa-ar-suggested-question` button replaces its innerHTML with spinner and disables it. If the request succeeds, the response goes to `[data-wb-final-text]`, not the questions. So button just stays disabled until request done, restores innerHTML. OK. 4. **Multiple clicks**: Since the button is disabled during request, fine. But no guard against rapid re-request after completion — acceptable. Now a functional concern: The analysis fallback chart default when question key missing: default to 'chart-custo-ausencias-area'. Not a big problem. Wait — There's an important issue regarding the "final" insight text. `loadInsights` sets `finalEl.innerHTML = payload.final`. When a suggested question click happens, it REPLACES the finalEl content with the question + answer. That's intended. Now what about the previous behavior in cost dashboard where suggested questions existed at page load? In cost dashboard, `bindUiActions` attaches `.pa-ar-suggested-question` click. But note the cost template's suggested-question buttons (lines 563-571) probably are static. But do they also get their HTML replaced? The click handler calls requestFinalQuestionAnalysis which replaces innerHTML with spinner then restores originalHtml. OK. Now let me look at the well-being mock data MOCK.insights to check if keys match. If MOCK used in dev, keys differ? Let me search MOCK.insights in well-being file. Also potential issue: In the well-being module, `AI_MODULE = 'bem_estar_ausencia'`. The module list in PeopleAnalyticsApiController includes bem_estar_ausencia. But does ChartAiAnalysisService->analyze for bem_estar_ausencia actually fetch chart data using the same chart id names? Let's inspect ChartAiAnalysisService to see mapping. If analyze() expects chart data provider keyed by module and chart id, and bem_estar_ausencia adapter exists. Need to confirm there is an adapter that handles bem_estar_ausencia module. Search service. Let me read ChartAiAnalysisService. Also there might be an issue that generic route module list uses 'bem_estar_ausencia' (underscore), and it is valid. Good. Let me read ChartAiAnalysisService analyze method.
Tool Calls (2)
file_find
Show Details
{"query_name": "ChartAiAnalysisService"}
src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php
code_search
Show Details
{"search_text": "insights: {", "file_patterns": ["public/js/people-analytics/modules/well-being-absence-dashboard.js"]}
File: public/js/people-analytics/modules/well-being-absence-dashboard.js
Match lines: 1
213|    insights: {

Request #47 deepseek-v4-flash P:46.65K C:234 CR:46.46K CW:0 2363ms
Reasoning
Let me read the ChartAiAnalysisService to check how modules map to data, and specifically whether bem_estar_ausencia and visao_geral_custos chart ids resolve. Also read the well-being MOCK insights (line 213 onwards) to see questions keys and labels for mock.
Tool Calls (2)
file_read
Show Details
{"file_path": "src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php", "start_line": 1, "end_line": 220}
File: src/Service/PeopleAnalytics/Chart/ChartAiAnalysisService.php (Total lines: 610)
IS_TRUNCATED: false
LINE_RANGE: 1-220
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|           
92|            $aiResponse = $this->callDeepSeek($aiPayload, $question);
93|
94|            // 8. Validar resposta
95|            $validated = $this->validateResponse($aiResponse, $aiPayload);
96|
97|            // 9. Retornar resultado completo
98|            return [
99|                'success' => true,
100|                'module' => $module,
101|                'chart_id' => $chartId,
102|                'filters_applied' => $resolved['filters_applied'],
103|                'chart_meta' => $resolved['chart_meta'],
104|                'chart_data' => $resolved['chart_data'],
105|                'ai_payload' => $aiPayload,
106|                'ai_analysis' => $validated,
107|                'ai_provider' => 'deepseek',
108|                'ai_model' => 'deepseek-chat',
109|                'generated_at' => (new \DateTime())->format('c')
110|            ];
111|
112|        } catch (\Exception $e) {
113|            $this->logger->error('[AI Analysis] Erro', [
114|                'module' => $module,
115|                'chartId' => $chartId,
116|                'error' => $e->getMessage()
117|            ]);
118|
119|            return [
120|                'success' => false,
121|                'error' => $e->getMessage(),
122|                'module' => $module,
123|                'chart_id' => $chartId
124|            ];
125|        }
126|    }
127|
128|    /**
129|     * Chama o DeepSeek com o payload preparado
130|     */
131|    private function callDeepSeek(array $payload, string $question): array
132|    {
133|        //Veja que ao acessar a tela retorna dados!! Porem no retorno do deep seek fala que nao tem dado suficiente para analisar.
134|        //dd($aiPayload, $question);
135|        //XHRGET  http://127.0.0.1:8000/people-analytics/api/diversidade/genero-area
136|        //{"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"}}
137|        
138|        // Construir prompt estruturado
139|        $systemPrompt = $this->buildSystemPrompt();
140|        $userPrompt = $this->buildUserPrompt($payload, $question);
141|        // dd($userPrompt,$systemPrompt);
142|        // ChartAiAnalysisService.php on line 141:
143|        // """
144|        // Analise o seguinte gráfico de People Analytics:
145|
146|        // CONTEXTO:
147|
148|
149|        // - Módulo: diversidade_inclusao
150|
151|
152|        // - Gráfico: Gráfico
153|
154|
155|        // - Tipo: unknown
156|
157|
158|        // - Formato: category_series
159|
160|
161|        // - Métrica: Valor 
162|
163|
164|
165|        // FILTROS APLICADOS:
166|
167|
168|        // {
169|
170|
171|        //     "start_date": "2025-12-04",
172|
173|
174|        //     "end_date": "2026-01-04",
175|
176|
177|        //     "company_id": 20
178|
179|
180|        // }
181|
182|
183|
184|        // MÉTRICAS DERIVADAS (use estes números):
185|
186|
187|        // []
188|
189|
190|
191|        // QUALITY FLAGS:
192|
193|
194|        // [
195|
196|
197|        //     "missing_dimensions"
198|
199|
200|        // ]
201|
202|
203|
204|        // PERGUNTA: Explique os principais insights e pontos de atenção deste gráfico
205|
206|
207|
208|        // Retorne apenas o JSON estruturado conforme especificado.
209|        // """
210|
211|        // ChartAiAnalysisService.php on line 141:
212|        // """
213|        // Você é um analista especializado em People Analytics.
214|
215|
216|        // Sua função é analisar dados de gráficos e fornecer insights acionáveis.
217|
218|
219|
220|        // REGRAS CRÍTICAS:
file_read
Show Details
{"file_path": "public/js/people-analytics/modules/well-being-absence-dashboard.js", "start_line": 205, "end_line": 260}
File: public/js/people-analytics/modules/well-being-absence-dashboard.js (Total lines: 1019)
IS_TRUNCATED: false
LINE_RANGE: 205-260
205|        { label: 'Turnover atribuível',       desc: 'Saídas por causa relacionada (modelo IA)',         value:  620000, percent: 13 },
206|      ],
207|    },
208|    custoTotais: {
209|      total:          { value: 'R$ 4.600.000',       caption: 'impacto total no período' },
210|      payrollShare:   { value: '1,3%',               caption: 'passiva comprometida'      },
211|      mainComponent:  { value: 'Produtividade Perdida', caption: '46% no total' },
212|    },
213|    insights: {
214|      cost_attention: 'Maior componente é <strong>produtividade perdida (R$ 2,1M)</strong>, inelástica no curto prazo. Substituição operacional (R$ 1,3M) é onde há espaço de eficiência via planejamento. Programa preventivo dirigido aos 47 em risco custa fração disso, com ROI estimado em <strong>1:4</strong>.',
215|      final: 'Absenteísmo em deterioração no período com custo de <strong>R$ 4,6M</strong> e 4.832 dias-ausência. Saúde mental como causa principal (32% via CIDs F), conectada à carga excessiva e ao Programa de Saúde Mental ainda em adesão de 22%. IA preditiva identifica <strong>47 colaboradores em risco</strong>, com 14 em risco alto que devem adoecer nos próximos 90 dias se nada mudar. Intervenção dirigida evita R$ 1,1M. Três áreas concentram o problema (TI, Comercial Norte e Operações Manaus) e exigem planos distintos: redução de carga em TI, recalibração de metas em Comercial e correção ergonômica em Operações.',
216|    },
217|    areasCriticas: {
218|      areas: [
219|        {
220|          title: 'TI',
221|          badge: '6,9% abs',
222|          severity: 'critical',
223|          sub: 'TI · jul a out/2022',
224|          desc: 'Carga excessiva e ausências por saúde mental concentradas. 38% acima de 50h/semana, 31% sem férias.',
225|          actions: [
226|            'Auditoria emergencial de carga em sprints',
227|            'Bloqueio de novas demandas (60 dias)',
228|            'Férias forçadas para os 12 com 2+ períodos',
229|          ],
230|        },
231|        {
232|          title: 'Comercial Norte',
233|          badge: '5,4% abs',
234|          severity: 'warn',
235|          sub: 'Comercial Norte · jul a out/2022',
236|          desc: 'Pressão de metas pós-reorg de mar/26 elevou ausências em 1,3 pp. 28% trabalham à noite.',
237|          actions: [
238|            'Revisão de meta trimestral (recalibração)',
239|            'Sem reuniões após 19h',
240|            'Pulse semanal por 60 dias',
241|          ],
242|        },
243|        {
244|          title: 'Operações Manaus',
245|          badge: '4,8% abs',
246|          severity: 'warn',
247|          sub: 'Operações Manaus · jul a out/2022',
248|          desc: 'Causa musculoesquelética em 42% das ausências. Problema ergonômico aparente.',
249|          actions: [
250|            'Auditoria ergonômica do galpão (40 postos)',
251|            'Investimento em mobiliário e PPE',
252|            'Ginástica laboral diária + conexão CIPA',
253|          ],
254|        },
255|      ],
256|    },
257|  };
258|
259|  // =====================================================================
260|  // HTTP HELPERS
Request #48 deepseek-v4-flash P:50K C:1.57K CR:46.85K CW:0 12136ms
Reasoning
The MOCK insights payload has no `questions` key, so in mock mode, questionsEl.innerHTML would be set to '' when questions empty (map on empty array gives ''). Fine. Now let's focus on identifying genuine issues in the diff, to report concisely (in Portuguese). Confirmed findings already cover: (1) missing company-level scope enforcement (AI endpoint), (2) duplicated helper code in well-being module, (3) god controller growth. New candidate findings: A. **well-being-analysis answer chart IDs mismatch with module chart scope** — well, that's part of confirmed #1? Confirmed #1 talks about company scope not enforced by PeopleAnalyticsApiController. Not repeat. B. **In the helper `adriana-chart-analysis.js` `bind()` runs for each matching element but does not double-click guard** — if a user double-clicks quickly before the button is disabled? The bind handler: click → disable immediately at setButtonLoading? Wait: bind's click handler: `event.preventDefault(); ... setButtonLoading(button, true, ...)` immediately disables button. So second click ignored while disabled. Also `button.dataset.adrianaAnalysisBound` prevents double binding. OK. C. **Issue: `.pa-prod-analysis` buttons bound by the helper in well-being module get bound each time `bindAnalysisActions` runs (each insights reload), but guard prevents double. However buttons for `.pa-ar-suggested-question` that are re-created each reload: `loadInsights` overwrites innerHTML and rebinds — good.** But there's a real problem: in well-being, `requestFinalQuestionAnalysis` answers into finalEl. But then if the user changes the filters and reloadAll triggers loadInsights again, the finalEl content is replaced by payload.final. OK. D. **XSS/incomplete escaping**: `escapeHtml` doesn't escape double quotes; but key is placed into an attribute delimited by double quotes, in well-being button generation `data-question="' + escapeHtml(key) + '"`. key/label come from server (suggestedQuestions) or, in mock mode, none. Since backend keys are static, low. But wait, actually keys could be `q.key || q.id || q.dataQuestion` from the API response; backend constructs them static. So it's low severity — maybe not worth reporting, or report as low. Let me not over-report low-value issues. Focus on real functional/regression issues. E. **Regression risk: cost dashboard `.pa-ar-corr-card__btn` and analysis buttons**. In old code the entire set `.pa-prod-analysis, .pa-ar-suggested-question, .pa-ar-corr-card__btn` bound to click; for `.pa-prod-analysis` with data-analysis in ANALYSIS_CHART_ID, requestAnalysis(el). New code: helper binds only `.pa-prod-analysis[data-analysis]` inside `.pa-ca-dash`. Also `.pa-prod-analysis` buttons in cost template are inside `.pa-ca-dash`? yes wrapper at line 23. OK. But careful: helper selector `.pa-ca-dash .pa-prod-analysis[data-analysis]` — what about `.pa-ar-corr-card__btn` elements that previously triggered requestAnalysis? In cost dashboard, are there such? Search earlier shows `.pa-ar-corr-card__btn` buttons with data-analysis in attraction-retention template (corr-engagement-risk etc.), NOT in cost template. The cost template might still have `.pa-ar-corr-card__btn` class on some elements? Let's search cost template for `corr-card`. Actually earlier `code_search` for `pa-ar-corr-card__btn` in templates returned only attraction_retention template matches. Cost template didn't include that class. So fine. F. **The `.pa-ar-suggested-question` in cost dashboard get bound even if the Adriana helper missing?** The bind does: bindAnalysisActions... In cost `bindUiActions`, the click handler for suggested questions calls `requestFinalQuestionAnalysis(el)` which early-returns if helper missing; but they still replace nothing. Fine. But wait, a bigger regression: In cost dashboard, the click handler for `.pa-prod-analysis` (not in the helper) — actually now every `.pa-prod-analysis` that has mapped data-analysis is ONLY handled by helper (jQuery). If the helper script wasn't loaded (e.g., cache or old file), no analysis. The template includes the helper before module file; but the check `if (window.PeopleAnalytics && ...)` in bindUiActions is inside the module file. If helper fails to load, bind isn't called and the forEach early-returns for mapped keys → dead button. But helper is new asset versioned. It's fine. But the module file (cost-analysis-dashboard.js) is versioned with ?v= too. Since both include version query with date, they always load same. However, the old cost dashboard analysis endpoint URL was `AI_API_BASE = '/people-analytics/api/' + AI_MODULE` and helper uses `module: AI_MODULE`, same. G. **The duplicate handling in well-being: `.pa-prod-analysis` in well-being template exists at line 137 with data-analysis `wb-trajetoria-absenteismo`. In old well-being code, clicking it previously did NOTHING (only console.info for the class bound? Actually old bindAnalysisActions bound `.pa-prod-analysis` and `.pa-ar-suggested-question`; clicking `.pa-prod-analysis` → console.info). So new behavior is fine. H. Now the interesting piece: **In well-being module, clicking a `.pa-prod-analysis` button will render the analysis panel into the card. But the well-being dashboard is `pa-wb-dash`? The wrapper includes `pa-wb-dash`. Good. But wait: well-being card for the chart (`.pa-prod-card` containing the analysis button). `getOrCreatePanel` finds `card = button.closest('.pa-prod-card')`. Does the well-being template chart card have class `.pa-prod-card`? Search template for `pa-prod-card`. I. Let me also check whether the card that holds the analysis button in produtividade has class `.pa-prod-card`, plus for the panel CSS to exist (pa-prod-analysis-panel) - presumably already CSS in shared file. Let me search templates well-being for `pa-prod-card`.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["templates/people_analytics/well_being_absence_dashboard.html.twig", "templates/people_analytics/cost_analysis_dashboard.html.twig", "templates/people_analytics/produtividade_dashboard.html.twig"], "search_text": "pa-prod-card"}
Note: The results have been truncated. Only showing first 100 results.
File: templates/people_analytics/cost_analysis_dashboard.html.twig
Match lines: 62
139|		<div class="pa-prod-card pa-prod-card--chart pa-ar-card-tight">
140|			<div class="pa-prod-card__head">
141|				<div class="pa-prod-card__title">
143|					<i class="fas fa-info-circle pa-prod-card__title-info"
151|			<div class="pa-prod-card__body">
156|			<div class="pa-prod-card__body pa-ar-card__sub">
170|		<div class="pa-prod-card pa-prod-card--chart">
171|			<div class="pa-prod-card__head">
172|				<div class="pa-prod-card__title">
174|					<i class="fas fa-info-circle pa-prod-card__title-info"
182|			<div class="pa-prod-card__body">
185|			<div class="pa-prod-card__foot">
190|				<div class="pa-prod-card__legend pa-prod-card__legend--multi">
201|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-ca-diag="trend">
202|				<div class="pa-prod-card__body">
207|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-ca-diag="event">
208|				<div class="pa-prod-card__body">
213|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-ca-diag="position">
214|				<div class="pa-prod-card__body">
233|			<div class="pa-prod-card pa-prod-card--chart">
234|				<div class="pa-prod-card__head">
235|					<div class="pa-prod-card__title">
237|						<i class="fas fa-info-circle pa-prod-card__title-info"
245|				<div class="pa-prod-card__body">
262|				<div class="pa-prod-card__body pa-ar-card__sub">
271|				<div class="pa-prod-card__foot pa-ar-card__foot--tiny">
277|			<div class="pa-prod-card pa-prod-card--chart">
278|				<div class="pa-prod-card__head">
279|					<div class="pa-prod-card__title">
281|						<i class="fas fa-info-circle pa-prod-card__title-info"
289|				<div class="pa-prod-card__body">
294|				<div class="pa-prod-card__foot pa-ar-card__foot--tiny">
312|			<div class="pa-prod-card pa-prod-card--chart">
313|				<div class="pa-prod-card__head">
314|					<div class="pa-prod-card__title">
316|						<i class="fas fa-info-circle pa-prod-card__title-info"
324|				<div class="pa-prod-card__body pa-ca-table-body">
341|				<div class="pa-prod-card__foot pa-ar-card__foot--tiny">
347|			<div class="pa-prod-card pa-prod-card--chart">
348|				<div class="pa-prod-card__head">
349|					<div class="pa-prod-card__title">
351|						<i class="fas fa-info-circle pa-prod-card__title-info"
359|				<div class="pa-prod-card__body pa-ca-table-body">
375|				<div class="pa-prod-card__foot pa-ar-card__foot--tiny">
392|		<div class="pa-prod-card pa-prod-card--chart">
393|			<div class="pa-prod-card__head">
394|				<div class="pa-prod-card__title pa-ar-card__title--soft">
402|			<div class="pa-prod-card__body">
407|			<div class="pa-prod-card__body pa-ar-card__sub">
419|		<div class="pa-prod-card pa-prod-card--chart">
420|			<div class="pa-prod-card__head">
421|				<div class="pa-prod-card__title pa-ar-card__title--soft">
429|			<div class="pa-prod-card__body">
447|		<div class="pa-prod-card pa-prod-card--chart">
448|			<div class="pa-prod-card__head">
449|				<div class="pa-prod-card__title">
451|					<i class="fas fa-info-circle pa-prod-card__title-info"
459|			<div class="pa-prod-card__body">
464|			<div class="pa-prod-card__body pa-ar-card__sub">
486|			<div class="pa-prod-card pa-prod-card--chart pa-ar-corr-card" data-ca-corr="comparatio-voluntary-exit">
502|			<div class="pa-prod-card pa-prod-card--chart pa-ar-corr-card" data-ca-corr="training-turnover">
518|			<div class="pa-prod-card pa-prod-card--chart pa-ar-corr-card" data-ca-corr="cost-productivity">

File: templates/people_analytics/produtividade_dashboard.html.twig
Match lines: 35
142|		<div class="pa-prod-card pa-prod-card--chart">
143|			<div class="pa-prod-card__head">
144|				<div class="pa-prod-card__title">
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>
153|			<div class="pa-prod-card__body">
156|			<div class="pa-prod-card__foot">
161|				<div class="pa-prod-card__legend">
180|			<div class="pa-prod-card pa-prod-card--chart">
181|				<div class="pa-prod-card__head">
182|					<div class="pa-prod-card__title">
184|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Volume de entregas concluídas por projeto"></i>
191|				<div class="pa-prod-card__body">
194|				<div class="pa-prod-card__foot">
208|					<div class="pa-prod-card__legend pa-prod-card__legend--trend">
216|			<div class="pa-prod-card pa-prod-card--chart">
217|				<div class="pa-prod-card__head">
218|					<div class="pa-prod-card__title">
220|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Entregas concluídas e pendentes por equipe"></i>
227|				<div class="pa-prod-card__body">
230|				<div class="pa-prod-card__foot">
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>
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>
272|				<div class="pa-prod-card__body">
297|				<div class="pa-prod-card__foot pa-prod-card__foot--tiny">
298|					<span class="pa-prod-card__meta">
306|			<div class="pa-prod-card pa-prod-card--chart">
307|				<div class="pa-prod-card__head">
308|					<div class="pa-prod-card__title">
310|						<i class="fas fa-info-circle pa-prod-card__title-info" data-toggle="tooltip" title="Comparativo diário entre produtividade e ausências"></i>
317|				<div class="pa-prod-card__body">
320|				<div class="pa-prod-card__foot">
325|					<div class="pa-prod-card__legend pa-prod-card__legend--multi">

File: templates/people_analytics/well_being_absence_dashboard.html.twig
Match lines: 31
132|		<div class="pa-prod-card pa-prod-card--chart">
133|			<div class="pa-prod-card__body pa-wb-trajectory-body">
136|			<div class="pa-prod-card__foot">
141|				<div class="pa-prod-card__legend pa-prod-card__legend--multi pa-wb-legend">
163|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-wb-diag="trend">
164|				<div class="pa-prod-card__body">
169|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-wb-diag="event">
170|				<div class="pa-prod-card__body">
175|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-wb-diag="position">
176|				<div class="pa-prod-card__body">
195|			<div class="pa-prod-card pa-prod-card--chart pa-wb-breakdown-card">
196|				<div class="pa-prod-card__head pa-wb-breakdown-head">
197|					<div class="pa-prod-card__title pa-wb-breakdown-head__title">
199|						<i class="fas fa-info-circle pa-prod-card__title-info"
204|				<div class="pa-prod-card__body">
210|			<div class="pa-prod-card pa-prod-card--chart pa-wb-breakdown-card">
211|				<div class="pa-prod-card__head pa-wb-breakdown-head">
212|					<div class="pa-prod-card__title pa-wb-breakdown-head__title">
214|						<i class="fas fa-info-circle pa-prod-card__title-info"
219|				<div class="pa-prod-card__body">
239|		<div class="pa-prod-card pa-prod-card--chart">
240|			<div class="pa-prod-card__head">
241|				<div class="pa-prod-card__title">
243|					<i class="fas fa-info-circle pa-prod-card__title-info"
251|			<div class="pa-prod-card__body">
256|			<div class="pa-prod-card__body pa-ar-card__sub">
278|		<div class="pa-prod-card pa-prod-card--chart">
279|			<div class="pa-prod-card__head">
280|				<div class="pa-prod-card__title">
282|					<i class="fas fa-info-circle pa-prod-card__title-info"
290|			<div class="pa-prod-card__body pa-wb-cost-table-body">

file_read
Show Details
{"file_path": "templates/people_analytics/well_being_absence_dashboard.html.twig", "start_line": 120, "end_line": 160}
File: templates/people_analytics/well_being_absence_dashboard.html.twig (Total lines: 399)
IS_TRUNCATED: false
LINE_RANGE: 120-160
120|		</div>
121|
122|		{# ============================================================
123|		   SEÇÃO: Trajetória do Absenteísmo
124|		   ============================================================ #}
125|		<div class="pa-prod-section">
126|			<h2 class="pa-prod-section__title">Trajetória do Absenteísmo</h2>
127|			<p class="pa-prod-section__desc">
128|				Evolução da taxa de absenteísmo no período, decomposta por tipo de ausência.
129|			</p>
130|		</div>
131|
132|		<div class="pa-prod-card pa-prod-card--chart">
133|			<div class="pa-prod-card__body pa-wb-trajectory-body">
134|				<div id="wb-trajetoria-absenteismo" class="pa-prod-chart pa-wb-chart--trajectory"></div>
135|			</div>
136|			<div class="pa-prod-card__foot">
137|				<button type="button" class="pa-prod-analysis" data-analysis="wb-trajetoria-absenteismo">
138|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
139|					<span>Gerar Análise</span>
140|				</button>
141|				<div class="pa-prod-card__legend pa-prod-card__legend--multi pa-wb-legend">
142|					<span class="pa-prod-legend-item">
143|						<span class="pa-prod-legend-dot pa-wb-dot--orange"></span>Médica curta
144|					</span>
145|					<span class="pa-prod-legend-item">
146|						<span class="pa-prod-legend-dot pa-wb-dot--red"></span>Médica longa
147|					</span>
148|					<span class="pa-prod-legend-item">
149|						<span class="pa-prod-legend-dot pa-wb-dot--gray"></span>Justificada
150|					</span>
151|					<span class="pa-prod-legend-item">
152|						<span class="pa-prod-legend-dot pa-wb-dot--blue"></span>Não justificada
153|					</span>
154|					<span class="pa-prod-legend-item">
155|						<span class="pa-prod-legend-dot pa-wb-dot--teal"></span>Total
156|					</span>
157|				</div>
158|			</div>
159|		</div>
160|
Request #49 deepseek-v4-flash P:54.76K C:541 CR:51.46K CW:0 4216ms
Reasoning
I notice in the well-being template at line 137, the button contains `<span>Gerar Análise</span>` — in produtividade/cost templates they have `.pa-prod-analysis__label` spans. Helper setButtonLoading picks `.pa-prod-analysis__label` first else any `span`. In well-being the span has no class but it is a span → works. In produtividade, the buttons have label span with class `pa-prod-analysis__label`. OK. Important nuance: the helper `setButtonLoading` uses `button.dataset.originalAnalysisLabel` to restore label. In produtividade old code restored to 'Gerar Análise' hard-coded; helper restores original label text - fine. But in well-being template, the button has an `<img>` plus `<span>`. `label = button.querySelector('.pa-prod-analysis__label') || button.querySelector('span')` → the span. Setting label.textContent = 'Gerando...' replaces the "Gerar Análise". OK. Now let me think about the `adriana-chart-analysis.js` `renderAnalysis` for "panel not found" case: if the analysis button is not inside `.pa-prod-card` (helper returns null from getOrCreatePanel) — in produtividade template, is the analysis button inside card `.pa-prod-card`? In produtividade template we saw `.pa-prod-card` many. The analysis button probably inside a card's foot. Let's assume yes. Now what about the case that the analysis button for produtividade isn't a `.pa-prod-analysis[data-analysis]`? We need to check. Search produtividade template for `data-analysis`.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["templates/people_analytics/produtividade_dashboard.html.twig", "templates/people_analytics/well_being_absence_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">

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">

file_read
Show Details
{"file_path": "templates/people_analytics/cost_analysis_dashboard.html.twig", "start_line": 180, "end_line": 210}
File: templates/people_analytics/cost_analysis_dashboard.html.twig (Total lines: 610)
IS_TRUNCATED: false
LINE_RANGE: 180-210
180|				</button>
181|			</div>
182|			<div class="pa-prod-card__body">
183|				<div id="ca-trajetoria-folha" class="pa-prod-chart pa-ar-chart--flow"></div>
184|			</div>
185|			<div class="pa-prod-card__foot">
186|				<button type="button" class="pa-prod-analysis" data-analysis="ca-trajetoria-folha">
187|					<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-analysis__avatar">
188|					<span class="pa-prod-analysis__label">Gerar Análise</span>
189|				</button>
190|				<div class="pa-prod-card__legend pa-prod-card__legend--multi">
191|					<span class="pa-prod-legend-item">
192|						<span class="pa-prod-legend-dot pa-ar-legend-dot--teal"></span>
193|						Custo total (R$)
194|					</span>
195|				</div>
196|			</div>
197|		</div>
198|
199|		{# ---------- 3 cards: Tendência / Evento crítico / Posição atual ---------- #}
200|		<div class="pa-prod-grid pa-prod-grid--cols-3 pa-ar-diag-grid">
201|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-ca-diag="trend">
202|				<div class="pa-prod-card__body">
203|					<h3 class="pa-ar-diag-card__title">Tendência do período</h3>
204|					<p class="pa-ar-diag-card__text" data-ca-diag-text>Carregando…</p>
205|				</div>
206|			</div>
207|			<div class="pa-prod-card pa-prod-card--chart pa-ar-diag-card" data-ca-diag="event">
208|				<div class="pa-prod-card__body">
209|					<h3 class="pa-ar-diag-card__title">Evento crítico identificado</h3>
210|					<p class="pa-ar-diag-card__text" data-ca-diag-text>Carregando…</p>
Request #50 deepseek-v4-flash P:56.07K C:343 CR:55.3K CW:0 2748ms
Reasoning
Now the produtividade template has 4 analysis buttons: 'produtividade-tempo', 'entregas-projeto', 'entregas-equipe', 'prod-vs-ausencias'. Need to confirm ANALYSIS_CHART_ID in produtividade-dashboard.js maps all 4 to chart ids, else previously (old code) clicking any `[data-analysis]` did requestAnalysis; if chartId missing, requestAnalysis returned silently (no-op). So behavior for unmapped is the same no-op. For mapped, works via helper. Let me verify ANALYSIS_CHART_ID in produtividade file and corresponding chart ids exist for module 'produtividade'. Search the top of produtividade file for ANALYSIS_CHART_ID.
Tool Calls (2)
code_search
Show Details
{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "ANALYSIS_CHART_ID"}
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
{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "produtividade-tempo|entregas-projeto|entregas-equipe|prod-vs-ausencias", "use_perl_regexp": true}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 86
73|    'entregas-projeto': { page: 0, pageSize: 5, total: 0, payload: null },
74|    'entregas-equipe': { page: 0, pageSize: 5, total: 0, payload: null },
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',
146|      case '/grafico/entregas-equipe':
150|      case '/grafico/prod-vs-ausencias-tempo':
509|    const el = document.getElementById('chart-produtividade-tempo');
521|          destroyChart('chart-produtividade-tempo');
523|          setAnalysisVisible('produtividade-tempo', false);
527|        setAnalysisVisible('produtividade-tempo', true);
610|        registerChart('chart-produtividade-tempo', el, inst);
614|        destroyChart('chart-produtividade-tempo');
616|        setAnalysisVisible('produtividade-tempo', false);
624|    const el = document.getElementById('chart-entregas-projeto');
635|          pagerState['entregas-projeto'].payload = null;
636|          pagerState['entregas-projeto'].total = 0;
637|          pagerState['entregas-projeto'].page = 0;
638|          updatePager('entregas-projeto');
639|          destroyChart('chart-entregas-projeto');
641|          setAnalysisVisible('entregas-projeto', false);
645|        pagerState['entregas-projeto'].payload = { categories, values };
646|        pagerState['entregas-projeto'].total = Math.min(categories.length, values.length);
647|        pagerState['entregas-projeto'].page = 0;
648|        setAnalysisVisible('entregas-projeto', true);
653|        pagerState['entregas-projeto'].payload = null;
654|        pagerState['entregas-projeto'].total = 0;
655|        pagerState['entregas-projeto'].page = 0;
656|        updatePager('entregas-projeto');
657|        destroyChart('chart-entregas-projeto');
659|        setAnalysisVisible('entregas-projeto', false);
664|    const el = document.getElementById('chart-entregas-projeto');
665|    const state = pagerState['entregas-projeto'];
667|    const page = slicePagerPage('entregas-projeto');
672|      destroyChart('chart-entregas-projeto');
674|      updatePager('entregas-projeto');
675|      setAnalysisVisible('entregas-projeto', false);
680|    setAnalysisVisible('entregas-projeto', true);
681|    updatePager('entregas-projeto');
755|    registerChart('chart-entregas-projeto', el, inst);
762|    const el = document.getElementById('chart-entregas-equipe');
766|    return fetchEndpoint('/grafico/entregas-equipe', filters)
768|        console.debug('[Produtividade] entregas-equipe:', data);
778|          pagerState['entregas-equipe'].payload = null;
779|          pagerState['entregas-equipe'].total = 0;
780|          pagerState['entregas-equipe'].page = 0;
781|          updatePager('entregas-equipe');
782|          destroyChart('chart-entregas-equipe');
784|          setAnalysisVisible('entregas-equipe', false);
788|        pagerState['entregas-equipe'].payload = { categories, concluidas, pendentes, atrasadas };
789|        pagerState['entregas-equipe'].total = categories.length;
790|        pagerState['entregas-equipe'].page = 0;
791|        setAnalysisVisible('entregas-equipe', true);
795|        console.error('[Produtividade] entregas-equipe:', err);
796|        pagerState['entregas-equipe'].payload = null;
797|        pagerState['entregas-equipe'].total = 0;
798|        pagerState['entregas-equipe'].page = 0;
799|        updatePager('entregas-equipe');
800|        destroyChart('chart-entregas-equipe');
802|        setAnalysisVisible('entregas-equipe', false);
807|    const el = document.getElementById('chart-entregas-equipe');
808|    const state = pagerState['entregas-equipe'];
810|    const page = slicePagerPage('entregas-equipe');
818|      destroyChart('chart-entregas-equipe');
820|      updatePager('entregas-equipe');
821|      setAnalysisVisible('entregas-equipe', false);
826|    setAnalysisVisible('entregas-equipe', true);
827|    updatePager('entregas-equipe');
885|    registerChart('chart-entregas-equipe', el, inst);
1019|    const el = document.getElementById('chart-prod-vs-ausencias');
1023|    return fetchEndpoint('/grafico/prod-vs-ausencias-tempo', filters)
1025|        console.debug('[Produtividade] prod-vs-ausencias-tempo:', data);
1032|          destroyChart('chart-prod-vs-ausencias');
1034|          setAnalysisVisible('prod-vs-ausencias', false);
1038|        setAnalysisVisible('prod-vs-ausencias', true);
1116|        registerChart('chart-prod-vs-ausencias', el, inst);
1119|        console.error('[Produtividade] prod-vs-ausencias:', err);
1120|        destroyChart('chart-prod-vs-ausencias');
1122|        setAnalysisVisible('prod-vs-ausencias', false);
1187|    if (key === 'entregas-projeto') {
1189|    } else if (key === 'entregas-equipe') {
1283|      'chart-produtividade-tempo',
1284|      'chart-entregas-projeto',
1285|      'chart-entregas-equipe',
1287|      'chart-prod-vs-ausencias',

Request #51 deepseek-v4-flash P:57.96K C:2.46K CR:56.32K CW:0 19192ms
Reasoning
Now let me check `produtividade` module metadata to see chart ids for AI: `chart-produtividade-tempo`, `chart-volume-entregas`, `chart-entregas-equipe`, `chart-prod-vs-ausencias-tempo`. Those need to exist in module 'produtividade' resolver. Let me look at ChartResolver to see how it resolves modules and charts, and whether all those chart ids exist. Also important: the analysis buttons in produtividade are bound via helper to chart ids. But some buttons may be shown/hidden depending on data (`setAnalysisVisible`). That remains as is. Now let me carefully assess the most significant NEW issues. **Finding candidate 1 (helper file, chartMap key missing → fallback chart on `data-analysis` clicking)**: Not really. **Finding candidate 2**: In produtividade dashboard, the helper binds `.pa-prod-dash .pa-prod-analysis[data-analysis]` and panel appended to `.pa-prod-card`. Fine. **Finding candidate 3**: The removed `notify()` function from cost-analysis-dashboard.js — no more references (search returned none). OK. **Finding candidate 4**: `requestFinalQuestionAnalysis` (both cost and well-being) uses `.textContent.trim()` for `questionLabel`, and since the button's innerHTML includes an icon `<i>` plus label text, questionLabel only the text. Good. But then these functions replace button content with spinner icon+text then restore `originalHtml`. Note: originalHtml captured before disabling. OK. **Finding candidate 5**: A race condition: clicking a suggested question in well-being triggers a request whose response writes to `[data-wb-final-text]`, and concurrently `loadInsights` may also run (on filter change) overwriting the finalEl — this is a "stale response overwrites newer data" race. But this existed similarly in other flows? Previously cost did nothing on those questions. Not a huge deal but low probability; not worth reporting unless there's a pattern. **Finding candidate 6 — actual bug**: In the helper, when analysis fails (server error) it renders error into panel. But after a `.finally`, the button is re-enabled. However if panel is within the button's card, fine. **Finding candidate 7**: In helper, they reject and catch with console.error + renderError. Fine. **Finding candidate 8 — THE 'escapeHtml' attribute context issue** is minor and pre-existing pattern for the well-being; but note the well-being file line 872 puts escapeHtml(key) inside double quotes. Also `label` in attribute... no label is text. Since backend keys static, low severity. Skip. **Finding candidate 9 — Well-being: question mapping duplicates 'cost-reduction' behavior when backend doesn't include cost?** Not in scope. Let me look more carefully at the PHP for a genuine bug related to this change: `$hasMeaningfulData` uses `$cost['total']['rawValue']`. In the mock? No, this is backend, no mock. Wait, potential genuine backend bug: `adaptCostTotals()` computes `$total` from `adaptCostComponents()` rows. In `adaptCostComponents` (the function before, lines ~360-391) — let me re-read it to see whether when there are no absences at all, cost=0 and thus components all 0, total=0 (rawValue 0). And there is `max(1.0, ...)` used for `$total` inside adaptCostComponents but that's only for percent calculations. Returned component values remain 0. Now, consider case where `$cost` (line 372) > 0 for some absence → adaptCostComponents cost = `$cost * 0.55` etc, all > 0 → rawValue>0 → meaningful. If there are absences but payroll functions returning null? Fine. Now there is an important subtlety: `$mainCause !== null` means main cause exists even if count 0? `adaptBreakdownByCause($filters)['rows'][0] ?? null` — if rows empty, null. So only when actual cause data exists. Good. Now consider `at_risk_insight`: If high+medium 0, text says "0 colaboradores em risco alto devem ser priorizados... O grupo médio (0 pessoas)..." That message is produced even when no data — misleading "0 colaboradores em risco alto devem ser priorizados". The PR's stated goal: "evitar insights enganosos quando não há dados suficientes". Only the 'final' text was made conditional; executive/at_risk_insight/cost_attention still render numbers ("—" fallback for executive; at_risk with 0; cost_attention with '—'). This might be intentional though, since at_risk_insight with 0 is still accurate-ish, but "devem ser priorizados" for 0 collaborators is weird. Hmm. The other insights are shown on the dashboard (cost attention card `data-wb-cost-attention-text` shows cost_attention). If cost_attention = "Maior componente é —, representando —. A redução de reincidência...tende a ter maior retorno financeiro." That's a potentially misleading message with dashes when no data. But was this changed in this PR? These messages pre-existed; only 'final' changed. The PR is about fixing misleading insights for empty data; they only fixed 'final'. Should I flag the partial coverage? It could be intentional to only adjust the 'final' text, given they added the empty-data message. But the cost_attention and at_risk_insight messages still produce misleading content for the empty period. However, those might be shown only when there is data? The `data-wb-cost-attention-text` card presumably always visible. In an empty period, they'd show the misleading "redução de reincidência...maior retorno" with —. It's a business-quality issue but the cards' texts: executive is inside 'final area'? Let me check what the front displays. loadInsights uses payload.cost_attention (costEl) and payload.final (finalEl). at_risk_insight is presumably displayed somewhere else. Since the PR changed only 'final', a genuine gap: the 'executive' also leads with absence-rate —%. In the empty case executive = "Absenteísmo em —%, ... custo estimado de R$ 0. 0 colaboradores..." Not exactly a strong conclusion but weird. Not blocking. Actually, wait — there might be a real bug: `executive` uses `$kpiMap['absence-rate']` which is '—' when no data, and cost total value 'R$ 0' maybe... Actually adaptCostTotals returns total value formatMoneyFull(0) = "R$ 0". Hmm "custo estimado de R$ 0" — it does say that even when there are no absence days. That was pre-existing behavior though (not changed). Only 'final' is changed. But given the change intent, fine to not flag. Now, but is there a genuine mismatch: The PHP 'final' fallback is only returned by `/insights`, but the AI question "cost-reduction" etc. may still ask and produce an answer that relies on chart data, which AI might fabricate. But not code-level. **Backend candidate — `suggestedQuestions` and `adaptInsights` inconsistency for cost-reduction question**: `suggestedQuestions` filters by rawValue>0, so cost-reduction appears only when cost real. Good. Hmm wait, there's a subtle mismatch: `adaptInsights` hasMeaningfulData uses `$mainCause !== null` etc., but if only high risk people exist (risk>0) with no cost (costTotal=0) - the 'final' fallback is NOT triggered (meaningful) yet main cause '—' and areas 0 - "A leitura integrada mostra 0 área(s) em atenção. O custo total estimado é R$ 0 e a principal causa registrada é não identificada." That's again misleading-ish but arguably risk people are data. Not a new bug introduced (it's on the changed path though). I'll skip. Now let me examine whether the well-being dashboard question keys in MOCK are present? The MOCK insights has no `questions`. So in mock mode, suggested question buttons never render; no issue. Wait, mock mode may exist in dev only. Not important. **Let me now double-check the `produtividade` module question for `.pa-prod-analysis` mapping to chart IDs used in AI analysis for module 'produtividade'.** The `ChartResolver->resolve($module, $chartId, $filters)` — need to see supported chart IDs for the module 'produtividade'. If a chart id is not in the resolver metadata, analysis throws exception and returns failure (rendered error). Previously the old produtividade requestAnalysis used the same API_BASE (module produtividade) and chart ids, and those worked. So the chart ids were already used. Fine. **Now think about double-binding issue in cost dashboard with helper vs the old jQuery each.** Since cost analysis buttons bound via jQuery in helper (`$(button).on('click')`) and then the forEach skip mapped ones. However, the `.pa-ar-corr-card__btn`? Actually cost template likely also contains `.pa-ar-corr-card` cards at lines 486-518 (data-ca-corr). Are those `.pa-ar-corr-card__btn`? Earlier search of the class in templates only matched attraction-retention. In cost template, corr cards use data-ca-corr containers and presumably different buttons? Not relevant since the querySelectorAll in bindUiActions includes `.pa-ar-corr-card__btn` even if not present. Fine. **Check the `.pa-ar-suggested-question` question buttons in cost template are static; and each click handler attached in bindUiActions uses `requestFinalQuestionAnalysis`. But note: the forEach returns early for mapped data-analysis, meaning the `.pa-ar-suggested-question` buttons are bound. And `bindUiActions` may be called multiple times? Probably once on DOMContentLoaded; check bottom of file. Might be triggered by global filter; but bindUiActions maybe called only at start. Let me read the bottom part of cost file (init) to check if bindUiActions called more than once (double click listeners). If called once, fine. Let me read last ~30 lines of the cost file and the well-being top (mock mode etc). Actually let's not overdo. Let me check whether cost-analysis calls bindUiActions only once. Let me read the init of cost file at bottom (lines 1380-1401).
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{"end_line": 1401, "file_path": "public/js/people-analytics/modules/cost-analysis-dashboard.js", "start_line": 1380}
File: public/js/people-analytics/modules/cost-analysis-dashboard.js (Total lines: 1401)
IS_TRUNCATED: false
LINE_RANGE: 1380-1401
1380|    loadInvestmentFunnel(filters);
1381|    loadCorrelations(filters);
1382|    loadMarketComparison(filters);
1383|    loadInsights(filters);
1384|  }
1385|
1386|  function init() {
1387|    if (!window.Highcharts) {
1388|      console.warn('[CostAnalysis] Highcharts não carregado.');
1389|      return;
1390|    }
1391|    const select = document.getElementById('caPeriodSelect');
1392|    if (select && select.value) currentFilters.periodo = select.value;
1393|    bindUiActions();
1394|    bindPeriodSelect();
1395|    bindGlobalFilterListener();
1396|    reloadAll(currentFilters);
1397|  }
1398|
1399|  window.PeopleAnalytics.CostAnalysisDashboard = { init: init, reload: reloadAll };
1400|})();
1401|
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{"file_patterns": ["public/js/people-analytics/modules/cost-analysis-dashboard.js"], "search_text": "bindUiActions\\(\\)"}
No matches found
Request #52 deepseek-v4-flash P:60.7K C:1.44K CR:60.42K CW:0 11208ms
Reasoning
bindUiActions is called once per init. But init could be called multiple times? `window.PeopleAnalytics.CostAnalysisDashboard = { init: init, reload: reloadAll };`. The template probably calls `window.PeopleAnalytics.CostAnalysisDashboard.init()` once. But also well-being bindAnalysisActions is called from init and also from loadInsights each time. The helper `.bind` for `.pa-prod-analysis` is called multiple times (init + each loadInsights). Guard `dataset.adrianaAnalysisBound` prevents re-binding events. Good. But for the suggested-question buttons in well-being: they're recreated on each loadInsights, and bindAnalysisActions re-binds new ones. Good. For produtividade: helper `.bind` called once in bindUiActions (only init). The analysis buttons are static; but are they dynamically re-rendered/replaced? `setAnalysisVisible` toggles hidden only. OK. Now, let me re-examine the well-being helper registration order: `adriana-chart-analysis.js` is loaded before well-being module. Good. Now let's examine the biggest remaining potential NEW bug candidate — the **filters** contract. `getFilters()` returns `currentFilters || {}`; currentFilters in each module includes keys like `periodo` and possibly area filters etc. The old cost analysis request included `filters: currentFilters || {}` too, same. So no change. The backend `ChartFilterNormalizer->normalize()` will map e.g. `periodo` and any filters to date range? Let me check normalize handles period. Actually the AI endpoint relies on ChartResolver resolving filters, and the ChartResolver presumably applies company scoping based on filters['company_id'] from user context (in PeopleAnalyticsApiController, adds company_id). The confirmed finding #1 is that this generic endpoint does not apply scoping restrictions like member-level filters that other People Analytics endpoints apply (e.g., the front-end global filters restricting to teams the user can see). Actually confirmed finding #1 already says the endpoint doesn't apply `applyPe...`. So skip. Now let's think about **the duplicate `escapeHtml`/`firstMeaningfulAnalysisText` in cost module vs well-being vs attraction-retention** — confirmed #2 covers well-being copy. But the same code is duplicated in cost-analysis-dashboard.js too (added in this PR). The confirmed finding #2 only mentions the well-being module duplication. Cost module also adds the same function duplicating the helper? Wait, the helper adriana-chart-analysis.js has renderAnalysis etc, but NOT firstMeaningfulAnalysisText. Both cost and well-being added `firstMeaningfulAnalysisText` and `escapeHtml`. Actually cost file already had escapeHtml (unchanged? It existed in old file at line ~1247 used in the removed renderAnalysisList; it remains used in requestFinalQuestionAnalysis). Well-being escapeHtml is new. firstMeaningfulAnalysisText is new in both, identical. This duplication is the confirmed finding #2 (referenced well-being), which says these functions were copied "between this module and cost-analysis-dashboard.js, despite this PR having created the shared helper". It is one finding. Don't repeat but could extend to cost module? They said do not repeat confirmed findings. But the duplication finding is already confirmed. I shouldn't repeat. Now look for other new bugs. **Check the helper's requestAnalysis vs old cost AI endpoint difference: CSRF and credentials.** Old cost code: `credentials: 'same-origin'`, custom header `X-Requested-With`. New helper uses jQuery $.ajax POST with dataType json, headers X-Requested-With, no explicit CSRF token. Was CSRF needed for this endpoint? The generic PeopleAnalyticsApiController route — does it require CSRF? It's an API route; other code (saude-organizacional-dashboard.js at 658, attraction-retention at 1432) use fetch without CSRF too. So consistent. Now, an important difference: jQuery $.ajax with `contentType: 'application/json'`. If jQuery global `ajaxSetup` has CSRF header injection for all ajax via meta tags, might add. Fine. **Another subtle issue**: The helper sends `filters` but the payload from `getFilters` may include chart-specific data keys (e.g., the modules pass only the dashboard current filters). Fine. Now let me examine a potential real regression: In the old cost dashboard, `requestAnalysis(btn)` used `ANALYSIS_CHART_ID[key]`, and if chartId null it returned without doing anything. In new helper bind, ANY `.pa-prod-analysis` inside `.pa-ca-dash` gets bound and clicked; if key missing from chartMap, it renders an error message panel "Este botão ainda não possui um gráfico vinculado". Previously it silently did nothing. Are there `.pa-prod-analysis` buttons inside cost dashboard without chartMap entries? There is only one: ca-trajetoria-folha, mapped. Wait cost template analysis buttons only at line 186? We searched earlier `data-analysis` found only 'ca-trajetoria-folha' (line 186) plus suggested-question buttons without data-analysis. So fine. Produtividade: 4 analysis buttons all mapped. well-being: 1 mapped. Good. Now the **cost: `.pa-ar-suggested-question` static buttons at lines 563-571 need a container `[data-ca-final-text]`**. requestFinalQuestionAnalysis writes into finalEl = `document.querySelector('[data-ca-final-text]')`. Does the cost template have `[data-ca-final-text]`? Let me check cost template for the final text element and also the `.pa-prod-analysis-panel` etc. Search cost template for `data-ca-final-text`. Similarly well-being template has `[data-wb-final-text]` (referenced in loadInsights) — yes it must exist already. Now check cost template for data-ca-final-text.
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{"file_patterns": ["templates/people_analytics/cost_analysis_dashboard.html.twig"], "search_text": "data-ca-final-text|data-ca-questions|ca-final"}
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{"file_path": "templates/people_analytics/cost_analysis_dashboard.html.twig", "start_line": 540, "end_line": 585}
File: templates/people_analytics/cost_analysis_dashboard.html.twig (Total lines: 610)
IS_TRUNCATED: false
LINE_RANGE: 540-585
540|			<p class="pa-prod-section__desc">
541|				Posicionamento da empresa frente ao benchmark setorial (mediana). Fonte: Robert Half, Hays e Mercer 2025.
542|			</p>
543|		</div>
544|
545|		<div class="pa-prod-grid pa-prod-grid--kpi pa-ar-market-grid" data-ca-market-grid>
546|			<div class="pa-ar-table__empty">Carregando…</div>
547|		</div>
548|
549|		{# ============================================================
550|		   ANÁLISE DA ADRIANA (texto institucional)
551|		   ============================================================ #}
552|		<div class="pa-ar-final-insight">
553|			<div class="pa-ar-final-insight__title">
554|				<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-insight__avatar">
555|				Análise da {{ userFirstName }}
556|			</div>
557|			<p class="pa-ar-final-insight__text" data-ca-final-text>
558|				Carregando análise…
559|			</p>
560|			<div class="pa-ar-final-insight__questions">
561|				<span class="pa-ar-final-insight__questions-label">Perguntas sugeridas</span>
562|				<div class="pa-ar-final-insight__questions-list">
563|					<button type="button" class="pa-ar-suggested-question" data-question="overpaying-no-return">
564|						<i class="fas fa-wand-magic-sparkles"></i>
565|						Onde estamos pagando acima do mercado sem retorno?
566|					</button>
567|					<button type="button" class="pa-ar-suggested-question" data-question="hidden-costs-recovery">
568|						<i class="fas fa-wand-magic-sparkles"></i>
569|						Quanto recuperaríamos endereçando os custos ocultos prioritários?
570|					</button>
571|					<button type="button" class="pa-ar-suggested-question" data-question="exit-risk">
572|						<i class="fas fa-wand-magic-sparkles"></i>
573|						Quais ações reduzem risco de saída?
574|					</button>
575|				</div>
576|			</div>
577|		</div>
578|
579|	</div>
580|</div>
581|
582|{% endblock %}
583|
584|{% block javascripts %}
585|	{{ parent() }}
Request #53 deepseek-v4-flash P:62.8K C:2.98K CR:62.08K CW:0 22974ms
Reasoning
OK, cost template has `[data-ca-final-text]` at line 557. Important note: the cost template question label text for 'overpaying-no-return' is "Onde estamos pagando acima do mercado sem retorno?" This question is about market compensation, referencing 'chart-custo-produtividade' (cost vs productivity). Fine. Now consider the cost dashboard initial textual insights at `data-ca-final-text` that load via `loadInsights`. When user clicks a suggested question, final text replaced by answer; if user changes period, the final text reloads (loadInsights sets innerHTML of finalEl to payload.final). Good. **Now let's check the helper's assumption about `[data-analysis-panel]` key uniqueness.** Not relevant. Let me also check a subtle but real issue in the helper: `requestAnalysis(options, chartId)` builds URL with `encodeURIComponent(module)` and `encodeURIComponent(chartId)`. For produtividade chart 'chart-prod-vs-ausencias-tempo'? Wait, chart id in ANALYSIS_CHART_ID for produtividade 'prod-vs-ausencias' → 'chart-prod-vs-ausencias-tempo'?? Earlier search at line 81: `'prod-vs-ausencias': 'chart-prod-vs-ausencias-tempo'`. But produtividade module uses container id 'chart-prod-vs-ausencias' for the chart (with pager?). Wait the chart container is `chart-prod-vs-ausencias` (line 1019 references getElementById('chart-prod-vs-ausencias')) and data endpoint '/grafico/prod-vs-ausencias-tempo'. The chart id in metadata for AI might be 'chart-prod-vs-ausencias-tempo' or 'chart-prod-vs-ausencias'? Let me look at the module's chart list & old AI usage for produtividade. Old requestAnalysis used ANALYSIS_CHART_ID with these values and `${API_BASE}/chart/${chartId}/ai-analysis` where API_BASE is '/people-analytics/api/produtividade'? Wait produtividade API_BASE constant? Need to check line ~60 of produtividade-dashboard.js. Actually old code requestAnalysis: `const chartId = ANALYSIS_CHART_ID[key]; ... fetch(`${API_BASE}/chart/${encodeURIComponent(chartId)}/ai-analysis`, ...)`. So same mapping used before. So no regression. Let me confirm that ANALYSIS_CHART_ID values have not changed in this PR (they're unchanged region). Yes unchanged. So produtividade behavior preserved. Good. Now let's focus on well-being AI request: before this PR, the well-being analysis buttons were inert (only console logs). Now they call AI for chart 'chart-evolucao-faltas' via module bem_estar_ausencia. Need to confirm that the resolver handles chart id 'chart-evolucao-faltas' — metadata shows it exists. Great. Now important real bug candidates within the PHP: Look at `adaptInsights`: `$kpis = $this->adaptKpis($filters);` — builds kpiMap. Uses `$kpiMap['absence-rate']` etc. Fine. `$hasMeaningfulData` uses `count($criticalAreas) > 0`. Wait — critical areas come from `criticalAreaRows($filters)`. Let me look at criticalAreaRows: they filter severity. But before that, `adaptCriticalAreas` returns areas from criticalAreaRows regardless of severity and the loadCriticalAreas front displays them as cards; the ones with severity 'low' excluded from criticalAreas variable? In adaptInsights, criticalAreas = filter non-low. Now is there a mismatch bug: When no data, criticalAreaRows might still return rows? Unlikely. OK, let's step back: which NEW functional bugs are clearly present? Let me reconsider carefully with a stricter eye on the JS diff logic. ### Cost dashboard diff: a subtle behavioral regression with `.pa-ar-corr-card__btn` and unmapped buttons Old code: When any `.pa-prod-analysis`, `.pa-ar-suggested-question`, `.pa-ar-corr-card__btn` with data-analysis mapping was clicked → requestAnalysis(el) → which set loading, fetch analysis for chartId. Any unmapped data-analysis (like corr-* in attraction? no this is cost page) → log. New code: `.pa-prod-analysis[data-analysis]` with data-analysis mapped is handled by the helper. Unmapped `.pa-prod-analysis`/`.pa-ar-suggested-question`/`.pa-ar-corr-card__btn` get the forEach listener. Also `.pa-ar-suggested-question` now triggers the question request. Note: analysis buttons inside the cost template are now only `.pa-prod-analysis` under `.pa-ca-dash`. That's it. OK not a regression. ### Well-being diff: potential double-binding problem with the helper in `bindAnalysisActions` inside the same `root` querySelectorAll `bindAnalysisActions` is called both in `bindUiActions(document)` and on every `loadInsights` with `questionsEl` root. But also — wait, bindUiActions is invoked at init once. However, `loadInsights` is called on each reload (filter change). But there might be a problem: bindAnalysisActions(document) is only called at init, while .pa-prod-analysis buttons exist statically, fine. But, note the helper's `.bind()` also uses `document` scope with selector `.pa-wb-dash ...`. That gets called each time (from init & each loadInsights). Guards. Now consider this actual bug: `bindAnalysisActions(questionsEl)` binds question buttons. But `bindAnalysisActions` calls `window.PeopleAnalytics.AdrianaChartAnalysis.bind({...})` each time with a document-scoped selector. That's fine. ### The `currentFilters` reference in getFilters when reloaded Not new. ### Potential bug: In cost and well-being, `questionLabel` uses button.textContent.trim() — For buttons containing the `<i>` icon plus text, textContent returns text. For well-being buttons from loadInsights: `<button ...><i ...></i>Label text</button>`. textContent → 'Label text'. Good. ### Bug: `escapeHtml` in helper for labels/keys uses only text but inside list items it's fine. ### Now inspect `adriana-chart-analysis.js` binding & panel rendering relative to old behavior: it renders sections including 'Projeções'. Old well-being render omitted 'Projeções' but new helper adds it if present. Fine. ### Potential real bug in helper: `renderAnalysis` displays analysis data — but the AI returns `ai_analysis` possibly with `markdown`? not relevant. ### Real bug candidate: helper `bind()` and jQuery `$(selector).each()` — if jQuery not loaded? all pages use jQuery. ### Now the REAL notable new bug: **Two different click bindings on suggested-question buttons in the cost dashboard**? In cost template, suggested question buttons are static and have class `.pa-ar-suggested-question` but NOT `.pa-prod-analysis`, so only one listener. OK. ### Now a genuinely strong finding candidate: **`.pa-prod-analysis` "Gerar Análise" buttons previously (produtividade/cost) were disabled while loading and their inner label changed to 'Gerando...', then reset to 'Gerar Análise'.** The new helper's `setButtonLoading` restores via `button.dataset.originalAnalysisLabel`. However, in the well-being and produtividade templates the button contains an `<img>` then a `<span>` (well-being) - okay. But the helper `setButtonLoading(button, false)` when there is no `.pa-prod-analysis__label` and the button contains only text nodes (no span)? e.g., some button has `<span>Gerar Análise</span>`: label found. OK. ### Let me reconsider what could be a clear "bug" introduced in this diff that I should report: 1. **The fallback behavior when question key is unknown**: `chartId = FINAL_QUESTION_CHART_ID[questionKey] || 'chart-custo-ausencias-area'` (well-being). If the server starts returning any other key that maps logically to another chart, the fallback silently sends a wrong chart and presents a misleading answer. This is minor because server keys static. 2. **The same question asked after period change: previously-answered content might be stale.** Not new. 3. **Well-being: escapeHtml applied to attribute `data-question` double-quote context** — minor XSS hardening incomplete. Keys from server are static. I'd rate low, possibly skip. 4. **PHP: `$risk['high'] + $risk['medium']`** — with `$risk` from riskDistribution; fine. 5. **PHP: In the empty-data path, the dashboard still shows the executive/cost_attention insights that are misleading (the "cost_attention" message says "A redução de reincidência... tende a ter maior retorno financeiro" even when cost total is 0).** The change only guards `final`. Actually wait: does the change intend that when no meaningful data, the entire block? Look: with no data, `cost_attention` = sprintf('Maior componente é %s ...', '—', '—') → "Maior componente é —, representando —. A redução de reincidência em áreas críticas tende a ter maior retorno financeiro." That is a misleading strong conclusion and appears when there is no data. The PR goal says avoid misleading when empty. Only 'final' was addressed; but this isn't a regression introduced by the diff (cost_attention pre-existed). The change is a partial fix, which may be intentional. It's borderline; I could mention in a low-severity note. But is it "within review scope"? The changed lines are the added fallback and hasMeaningfulData. The cost_attention is unchanged. Hmm. Wait, actually — is `cost_attention` displayed on well-being page? Yes via `data-wb-cost-attention-text`. When empty period, this shows the misleading text, contradicting the 'final' fallback message next to it. The PR's test says "Acessar Bem-estar/Ausência com período sem dados e solicitar análise → validar mensagem de dados insuficientes." The fix is incomplete but this PR might be intended only for the final. I might flag at medium/low as a consistency note: only 'final' got the guard, while sibling insights still render dashes/misleading guidance. But that could be seen as out-of-scope because they didn't touch those lines... but they're the surrounding feature of the same change (avoid misleading insights). I'll consider a low/medium comment. Actually wait, I need to check whether these insight blocks get rendered to the page only when there's data. Let me look at the well-being template for `data-wb-cost-attention-text`. Not necessary to go that deep; risk of noise. 6. **PHP: `formatMoneyFull($total)` may print 'R$ 0' in `executive` and cost cards, and `suggestedQuestions` now avoids the cost-reduction question if rawValue is 0 — good. But cards (cost total KPI) still show 'R$ 0'. not new. 7. Now let me inspect the deeper question: does `$cost['total']['rawValue']` exist for the response used elsewhere? The adaptCostTotals returns array now with rawValue. Are there OTHER callers of `adaptCostTotals` that pass the result to somewhere expecting exactly keys? It's private; adaptInsights uses it. Also who renders `total`? adaptInsights uses it only to compose messages. Also the cost-totals endpoint probably separate method? The 'rawValue' addition is only in adaptCostTotals; no breakage. 8. **Wait, there's an actual subtle PHP issue**: In `suggestedQuestions`, they call `(float)($cost['total']['rawValue'] ?? 0)`. `$cost` param type array. In adaptInsights, `$cost` = adaptCostTotals result; it has total.rawValue. Good. But is `suggestedQuestions` also invoked elsewhere with a `$cost` array that does NOT contain total.rawValue? Search callers of suggestedQuestions. Only adaptInsights. Good. Now potential division by zero in `payrollShare` uses `$payroll = max(1.0, periodPayroll)`. Fine. ### Let me check `$mainCause` semantics with zero-days: adaptBreakdownByCause returns rows from chart-ausencias-motivo? Wait, adaptBreakdownByCause uses service getChartData('chart-ausencias-motivo'). If the period has absences with zero days? Let's read that function quickly (lines ~300-320). Let me read lines 300-370 to confirm data flow and whether no-data produces a row of zeros (mainCause = label '—'? If mainCause returns an array even with all zeros, $mainCause !== null could be true though no real data). Actually `?array $mainCause` null only if rows empty. If chart returns a row with value 0... Let's inspect adaptBreakdownByCause.
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{"end_line": 370, "file_path": "src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php", "start_line": 225}
File: src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php (Total lines: 887)
IS_TRUNCATED: false
LINE_RANGE: 225-370
225|    }
226|
227|    private function adaptTrajectory(array $filters): array
228|    {
229|        $licenses = $this->service->getChartData('chart-evolucao-licencas', $filters);
230|        $absences = $this->service->getChartData('chart-evolucao-faltas', $filters);
231|        $categories = $this->mergeCategories($licenses['categories'] ?? [], $absences['categories'] ?? []);
232|        $licenseMap = $this->mapSeriesByCategory($licenses['categories'] ?? [], $licenses['series'][0]['data'] ?? []);
233|        $absenceMap = $this->mapSeriesByCategory($absences['categories'] ?? [], $absences['series'][0]['data'] ?? []);
234|        $headcount = max(1, $this->activeHeadcount($filters));
235|
236|        $medicalShort = [];
237|        $medicalLong = [];
238|        $justified = [];
239|        $unjustified = [];
240|        $total = [];
241|
242|        foreach ($categories as $category) {
243|            $licenseDays = (float) ($licenseMap[$category] ?? 0);
244|            $absenceDays = (float) ($absenceMap[$category] ?? 0);
245|            $short = $licenseDays * 0.65;
246|            $long = $licenseDays * 0.35;
247|            $just = $absenceDays * 0.4;
248|            $unjust = $absenceDays * 0.6;
249|
250|            $medicalShort[] = round(($short / ($headcount * 22)) * 100, 1);
251|            $medicalLong[] = round(($long / ($headcount * 22)) * 100, 1);
252|            $justified[] = round(($just / ($headcount * 22)) * 100, 1);
253|            $unjustified[] = round(($unjust / ($headcount * 22)) * 100, 1);
254|            $total[] = round((($licenseDays + $absenceDays) / ($headcount * 22)) * 100, 1);
255|        }
256|
257|        $lastTotal = count($total) > 0 ? $total[count($total) - 1] : 0;
258|
259|        return [
260|            'categories' => $categories,
261|            'series' => [
262|                ['name' => 'Médica curta', 'color' => '#F59E0B', 'data' => $medicalShort],
263|                ['name' => 'Médica longa', 'color' => '#EF4444', 'data' => $medicalLong],
264|                ['name' => 'Justificada', 'color' => '#2F343A', 'data' => $justified],
265|                ['name' => 'Não justificada', 'color' => '#67E8F9', 'data' => $unjustified],
266|                ['name' => 'Total', 'color' => '#14B8A6', 'data' => $total],
267|            ],
268|            'events' => [],
269|            'endLabel' => ['value' => $this->fmtPercent($lastTotal), 'atIndex' => max(0, count($categories) - 1), 'color' => '#14B8A6'],
270|            'yMin' => 0,
271|            'yMax' => max(5, ceil(max($total ?: [0]) + 1)),
272|        ];
273|    }
274|
275|    private function adaptDiagnostic(array $filters): array
276|    {
277|        $trajectory = $this->adaptTrajectory($filters);
278|        $total = $trajectory['series'][4]['data'] ?? [];
279|        $first = count($total) > 0 ? (float) $total[0] : 0.0;
280|        $last = count($total) > 0 ? (float) $total[count($total) - 1] : 0.0;
281|        $delta = round($last - $first, 1);
282|        $criticalAreas = array_values(array_filter(
283|            $this->criticalAreaRows($filters),
284|            static fn (array $area): bool => ($area['severity'] ?? '') !== 'low'
285|        ));
286|        $cause = $this->adaptBreakdownByCause($filters)['rows'][0] ?? null;
287|
288|        return [
289|            'trend' => sprintf('Taxa total saiu de %s para %s (%s p.p.) no período.', $this->fmtPercent($first), $this->fmtPercent($last), number_format($delta, 1, ',', '.')),
290|            'event' => $cause ? sprintf('Principal causa registrada: %s, concentrando %s das ausências classificadas.', $cause['label'], $this->fmtPercent((float) $cause['percent'])) : 'Sem causa dominante registrada no período.',
291|            'position' => count($criticalAreas) > 0 ? sprintf('%d área(s) acima do limite operacional, com destaque para %s.', count($criticalAreas), $criticalAreas[0]['title']) : 'Sem áreas críticas no recorte atual.',
292|        ];
293|    }
294|
295|    private function adaptBreakdownByType(array $filters): array
296|    {
297|        $absence = $this->absenceTotals($filters);
298|        $total = max(1.0, (float) $absence['totalDays']);
299|        $rows = [
300|            ['label' => 'Licenças formais', 'value' => (float) $absence['licenseDays'], 'color' => '#F59E0B'],
301|            ['label' => 'Faltas operacionais', 'value' => (float) $absence['operationalDays'], 'color' => '#67E8F9'],
302|        ];
303|
304|        return ['rows' => $this->rowsFromValues($rows, $total)];
305|    }
306|
307|    private function adaptBreakdownByCause(array $filters): array
308|    {
309|        $chart = $this->service->getChartData('chart-ausencias-motivo', $filters);
310|        $categories = $chart['categories'] ?? [];
311|        $values = $chart['series'][0]['data'] ?? [];
312|        $total = array_sum(array_map('floatval', $values));
313|        $rows = [];
314|
315|        foreach ($categories as $index => $label) {
316|            $rows[] = [
317|                'label' => (string) $label,
318|                'value' => (float) ($values[$index] ?? 0),
319|                'color' => $this->palette($index),
320|            ];
321|        }
322|
323|        return ['rows' => $this->rowsFromValues($rows, max(1.0, (float) $total))];
324|    }
325|
326|    private function adaptBurnoutSignals(array $filters): array
327|    {
328|        $risk = $this->riskDistribution($filters);
329|        $headcount = max(1, $this->activeHeadcount($filters));
330|        $wellbeing = $this->service->getChartData('chart-bem-estar-dimensoes', $filters);
331|        $lowDimensions = count(array_filter($wellbeing['series'][0]['data'] ?? [], fn ($value) => (float) $value < 60));
332|        $absence = $this->absenceTotals($filters);
333|
334|        return [
335|            'signals' => [
336|                ['title' => 'Risco alto', 'value' => $this->fmtPercent(($risk['high'] / $headcount) * 100), 'caption' => $risk['high'] . ' colaboradores'],
337|                ['title' => 'Risco médio', 'value' => $this->fmtPercent(($risk['medium'] / $headcount) * 100), 'caption' => $risk['medium'] . ' colaboradores'],
338|                ['title' => 'Dimensões <60', 'value' => (string) $lowDimensions, 'caption' => 'fatores de bem-estar abaixo do limite'],
339|                ['title' => 'Ausência média', 'value' => number_format($absence['totalDays'] / $headcount, 1, ',', '.'), 'caption' => 'dias por colaborador no período'],
340|            ],
341|        ];
342|    }
343|
344|    private function adaptAtRisk(array $filters): array
345|    {
346|        $risk = $this->riskDistribution($filters);
347|        $total = max(1, array_sum($risk));
348|        $rows = [
349|            ['label' => 'Risco Alto', 'count' => $risk['high'], 'color' => 'red'],
350|            ['label' => 'Risco Médio', 'count' => $risk['medium'], 'color' => 'orange'],
351|            ['label' => 'Risco Baixo', 'count' => $risk['low'], 'color' => 'teal'],
352|            ['label' => 'Sem sinais detectados', 'count' => $risk['none'], 'color' => 'teal-dark'],
353|        ];
354|
355|        foreach ($rows as &$row) {
356|            $row['percent'] = round(($row['count'] / $total) * 100, 1);
357|            $row['caption'] = $row['count'] . ' colaboradores.';
358|        }
359|
360|        return [
361|            'rows' => $rows,
362|            'insightHtml' => sprintf('<strong>%d colaboradores em risco alto</strong> combinam recorrência de ausência e sinais de bem-estar abaixo do limite. Priorize conversas 1:1, revisão de carga e férias/pausas planejadas para reduzir risco de afastamento longo.', $risk['high']),
363|        ];
364|    }
365|
366|    private function adaptCostComponents(array $filters): array
367|    {
368|        $costChart = $this->service->getChartData('chart-custo-ausencias-area', $filters);
369|        $cost = array_sum(array_map('floatval', $costChart['series'][0]['data'] ?? []));
370|        $absence = $this->absenceTotals($filters);
Request #54 deepseek-v4-flash P:68.27K C:1.54K CR:65.66K CW:0 13480ms
Reasoning
So adaptBreakdownByCause returns rows built from categories even with value 0 (rowsFromValues). When no absences, chart categories may be empty (no data) → rows empty → mainCause null → OK. If chart returns categories but all zero values, rowsFromValues would produce rows with zero values and the first row percent maybe 0.0... then mainCause non-null, hasMeaningfulData true because mainCause !== null, and final message would say "principal causa registrada é [category]" even when values are 0 — a potential misleading path. But whether chart returns categories with zero values when empty, unknown; probably returns no rows when no data. I won't flag. Let me now step back and decide what to report (new findings beyond confirmed): Given the instructions: "Previously Confirmed Findings — do not repeat them. Continue reviewing all files and report any other real issues." Potential candidates ranked by value: 1. **Dead code in produtividade module**: getAnalysisPanel is still used at line 275 (setAnalysisVisible). So not dead. Good. 2. **Well-being `escapeHtml` incomplete attribute escaping** — low. 3. **PHP: The dashboard empty-data guard covers only the 'final' field, not sibling insight fields (executive, at_risk_insight, cost_attention), which still emit definitive-looking guidance ("A redução de reincidência... tende a ter maior retorno financeiro", "devem ser priorizados... monitoramento preventivo") with dashes/zeros when the recorte is empty — same screen where the new fallback claims there's no conclusive data.** This is arguably a consistency/quality gap introduced by incomplete fix within the same method changed in the PR. Severity medium? It's a business logic quality issue aligned with PR's own objective, and the changed block is the right place. I think worth reporting as a comment on the hasMeaningfulData/fallback lines (medium). Actually let me re-read the diff lines: `'final' => !$hasMeaningfulData ? 'Ainda não há dados...' : sprintf(...)`. And `cost_attention` remains as is. Hmm but cost_attention with '—' values: "Maior componente é —, representando —. A redução de reincidência em áreas críticas tende a ter maior retorno financeiro." Also 'executive' uses kpiMap '—'. That's displayed. And the well-being page's `loadInsights` sets costEl.innerHTML = payload.cost_attention — a cost attention card. In an empty period, this will show "—, representando —. A redução..." misleading. Since PR intent explicitly is "evitar insights enganosos quando não há dados suficientes" and only 'final' text was updated, I think a comment is reasonable but maybe the dashboard hides those cards when empty? Not sure. To be safe, focus comment on code-level with high clarity: hasMeaningfulData computed but only used for 'final'; sibling fields remain. Let me check whether the "final"/costEl/at-risk fields are all in the insights payload; at_risk_insight displayed somewhere else. Let me search where at_risk_insight is used in the template/front. Actually, given time constraints, I'll produce a measured medium/low severity comment on the PHP. 4. **The helper's `escapeHtml` not exported** - irrelevant. 5. **Now a potentially bigger NEW issue in cost dashboard**: The `ANALYSIS_CHART_ID` mapping previously used in the bind with helper applies AI to 'ca-trajetoria-folha'. But the OLD cost dashboard had an analysis button inside `pa-prod-card` "Trajetória de custo" (id ca-trajetoria-folha). Analysis panel appended. Good. 6. **What about the cost module's `loadInsights` that also populates final text with the AI? Wait — cost's final-insight with data-ca-final-text is pre-filled from an insights endpoint (loadInsights(filters)). Let me look at cost loadInsights to see the payload structure. Actually the cost dashboard likely has its own insight endpoints; not changed here. Actually, wait, I should check the cost dashboard loadInsights to see what API it hits and whether the 'final' field is used and whether cost analysis already had an "Análise da Adriana" textual paragraph — likely yes (title at line 555 "Análise da {{ userFirstName }}"). And the questions now send an AI request referencing a chart. There might be a **contract mismatch**: The final text is `[data-ca-final-text]` updated from `/insights`; the buttons ask the AI to answer using a specific chart; the AI answers into the same element. This overwrites the pre-existing final textual insight. That's intended behavior ("perguntas sugeridas" replace the final). OK. Now, is there any issue that the questions sent to the AI chart for the cost module ask about **market pay** (overpaying) but chart 'chart-custo-produtividade' doesn't contain market benchmark data? Data quality issue, not code bug. 7. **Potential genuine bug: the helper function `requestAnalysis` builds the module in path. In well-being & cost, the module names 'bem_estar_ausencia', 'visao_geral_custos' — matches allowed list. In produtividade, 'produtividade'. Good. 8. **Now, the `filters` sent by these requests are raw `currentFilters`, which might contain `periodo` key = e.g. '6m'. The ChartResolver for bem_estar_ausencia?** Previously in well-being, there was no AI chart analysis so no precedent. But if period key named 'periodo' is what the well-being service endpoints use (the front calls `/insights` with these filters, and the controller has a method that resolves dates from filters['periodo']), presumably fine. 9. Let's verify how the well-being charts load to see whether the module 'bem_estar_ausencia' AI chart-resolver expects filters keys `start_date`, etc. Wait the WellBeingAbsenceController endpoints (e.g., insights) use `$this->resolveDates($filters)`. But AI requests are not handled by WellBeingAbsenceController — they are handled by the generic PeopleAnalyticsApiController → ChartAiAnalysisService → ChartResolver->resolve(module bem_estar_ausencia, chartId, filters). ChartResolver likely looks up metadata and a data provider for bem_estar_ausencia, then passes filters into WelfareAbsenceService? Let me inspect ChartResolver to make sure the module bem_estar_ausencia is supported and the company filters applied. This is where confirmed finding #1 already exists about scope. Let me quickly check how ChartResolver resolves bem_estar_ausencia and produtividade, and the chart 'chart-evolucao-faltas' gets its data, plus date resolution inside. Let me read ChartResolver.
Tool Calls (1)
file_find
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{"query_name": "ChartResolver"}
src/Service/PeopleAnalytics/Chart/ChartResolver.php
Request #55 deepseek-v4-flash P:69.83K C:91 CR:69.76K CW:0 1817ms
Tool Calls (1)
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{"file_path": "src/Service/PeopleAnalytics/Chart/ChartResolver.php", "start_line": 1, "end_line": 260}
File: src/Service/PeopleAnalytics/Chart/ChartResolver.php (Total lines: 164)
IS_TRUNCATED: false
LINE_RANGE: 1-164
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|
73|        // 3. Buscar dados do gráfico
74|        try {
75|            $chartData = $service->getChartData($chartId, $normalizedFilters);
76|        } catch (\Exception $e) {
77|            $this->logger->error("Erro ao buscar dados do gráfico", [
78|                'module' => $module,
79|                'chartId' => $chartId,
80|                'error' => $e->getMessage()
81|            ]);
82|            throw new \InvalidArgumentException("Gráfico não encontrado ou erro ao buscar dados: {$chartId}");
83|        }
84|
85|        // 4. Obter metadata do chart (por enquanto, retornar básico)
86|        $chartMeta = $this->getChartMetadata($module, $chartId, $chartData);
87|
88|        return [
89|            'chart_data' => $chartData,
90|            'filters_applied' => $normalizedFilters,
91|            'chart_meta' => $chartMeta
92|        ];
93|    }
94|
95|    /**
96|     * Obtém metadata básico do chart
97|     * TODO: Implementar metadata completo em cada service
98|     */
99|    private function getChartMetadata(string $module, string $chartId, array $chartData): array
100|    {
101|        // Inferir canonical_shape do tipo de chart retornado
102|        $canonicalShape = $this->inferCanonicalShape($chartData);
103|        
104|        return [
105|            'module' => $module,
106|            'chart_id' => $chartId,
107|            'title' => $chartData['title'] ?? 'Gráfico',
108|            'chart_type' => $chartData['type'] ?? 'unknown',
109|            'canonical_shape' => $canonicalShape,
110|            'metric_name' => 'Valor',
111|            'metric_unit' => '',
112|            'privacy_min_group' => 5
113|        ];
114|    }
115|
116|    /**
117|     * Infere o canonical_shape baseado no tipo do chart
118|     */
119|    private function inferCanonicalShape(array $chartData): string
120|    {
121|        $type = $chartData['type'] ?? '';
122|        
123|        return match($type) {
124|            'line' => 'time_series',
125|            'column', 'bar', 'pie', 'donut' => 'category_series',
126|            'heatmap' => 'heatmap',
127|            'boxplot' => 'boxplot',
128|            'scatter' => 'scatter',
129|            'funnel' => 'funnel',
130|            default => $this->inferCanonicalShapeFromStructure($chartData)
131|        };
132|    }
133|
134|    private function inferCanonicalShapeFromStructure(array $chartData): string
135|    {
136|        if ((isset($chartData['yAxis']) || isset($chartData['yCategories'])) && isset($chartData['data'])) {
137|            return 'heatmap';
138|        }
139|
140|        $series = $chartData['series'] ?? $chartData['datasets'] ?? [];
141|        $firstPoint = $series[0]['data'][0] ?? null;
142|        if (is_array($firstPoint) && array_key_exists('x', $firstPoint) && array_key_exists('y', $firstPoint)) {
143|            return 'scatter';
144|        }
145|
146|        $categories = $chartData['categories'] ?? $chartData['labels'] ?? [];
147|        $firstCategory = $categories[0] ?? null;
148|        if (is_string($firstCategory) && preg_match('/^\d{4}-\d{2}(-\d{2})?$|^\d{2}\/\d{2,4}$/', $firstCategory)) {
149|            return 'time_series';
150|        }
151|
152|        return 'category_series';
153|    }
154|
155|    /**
156|     * Valida se um módulo existe
157|     */
158|    public function moduleExists(string $module): bool
159|    {
160|        return isset($this->serviceMap[$module]);
161|    }
162|}
163|
164|
Request #56 deepseek-v4-flash P:71.81K C:3.68K CR:69.89K CW:0 31137ms
Reasoning
OK, bem_estar_ausencia resolves to WelfareAbsenceService. But `WelfareAbsenceService->getChartData($chartId, $normalizedFilters)` needs chart ids 'chart-evolucao-faltas', etc. WelfareAbsenceService does handle those (we saw mapping at lines 1241-1250). Good. Filters come from ChartFilterNormalizer. But note: the generic controller (PeopleAnalyticsApiController) calls normalize again and adds company_id. In normalizer, does it convert 'periodo' to date range? Wait, but when it calls WelfareAbsenceService->getChartData, that service's methods (e.g., evolucaoFaltas) expect filters like company_id and dates resolved how? In the well-being controller, they resolve dates via resolveDates($filters). But WelfareAbsenceService probably internally normalizes/derives dates from 'periodo'. Not something to dig more. Given confirmed #1 already flagged the endpoint scope concern, no need to go deeper. Let me now double-check the well-being dashboard question buttons click bind in mock mode: if backend errors (catch in loadInsights sets finalEl innerHTML to error message but doesn't call bindAnalysisActions), no buttons; fine. Let's now re-check the actual new code for a subtle duplicate click bug in cost for `.pa-prod-analysis` buttons: The helper attaches click to button via jQuery when `bind` runs. Then the forEach in bindUiActions attaches its own listener for any `.pa-prod-analysis` without mapped key, but skips mapped ones. Since there are no unmapped `.pa-prod-analysis` on the page, only helper handles. Good. But wait — the helper binding occurs in bindUiActions BEFORE the forEach. But jQuery `$(selector).each` binds event handlers on matched current elements. And after that, the forEach calls addEventListener on the same elements that were skipped (mapped). So only one handler each. Good. Now, what about the old cost `.pa-prod-analysis` handler that was removed, and the `ev.preventDefault()`? The helper binds with jQuery `.on('click', function (event) { event.preventDefault(); ... })`. OK. **Let me now look at the print-report.js interplay.** Not changed. Now let me look again at the helper for a genuine issue: `renderList(title, items)` — items may contain HTML? They are AI-generated strings and escaped via escapeHtml in li. Good. `renderError` escapes message. Good. `renderAnalysis` escapes title, summary, list items. Good. No `.html()` injection of user HTML without escape. Now inside requestFinalQuestionAnalysis (both cost and well-being), they insert into finalEl: `<strong>questionLabel</strong><br>text` with escapeHtml for questionLabel and text. Good. **Potential bug: In cost and well-being `requestFinalQuestionAnalysis`, after replacing `button.innerHTML` with spinner and disabling, if the user has multiple suggested question buttons and clicks one then another quickly before first finishes, both run; each restores its own button. Fine. Also they write to the same finalEl; whichever finishes last overwrites. Acceptable. **Race condition worth flagging?**: If a period change triggers loadInsights while a question request is still in flight, the loadInsights response could overwrite the AI answer in finalEl, and when AI returns, it overwrites the fresh insights text — stale. Minor UX; not reporting. Now think again about the PHP. Is there a genuine type/math bug with rawValue because formatMoneyFull expects float, and now rawValue is raw float. But note `adaptCostTotals` returns `'total' => ['value'=> formatted, 'caption'=>..., 'rawValue'=> $total]`. Both total's "value" and rawValue. Then cost_attention uses `$cost['mainComponent']['value']`. Fine. But wait, in adaptInsights, the **`$cost['total']['value']`** used in the 'final' message when data is meaningful. When hasMeaningfulData true due only to risk>0 but costTotal 0, final message says "O custo total estimado é R$ 0..." with main cause '—' (if null). It's weird but not a crash. One more: `payrollShare` = fmtPercent(($total/$payroll)*100) with $total 0 → '0,0%'. fine. Hmm. Maybe nothing else significant in PHP. Let me re-inspect the JS in the well-being module for the most valuable issue: the **duplicated helper code** is confirmed. Let's find NEW issues there: - line 872: `data-question="' + escapeHtml(key) + '"` then label escaped. Key in attribute: double-quote injection not covered by escapeHtml; but also **single quotes in key** break attribute since... no, attribute delimited by double quotes; single quote safe. Double quote in key breaks; but keys static from server. Low severity, possibly worth a short note with low. Actually wait, there is a more concrete issue: `escapeHtml` in well-being only used for keys and labels that come from `payload.questions`. Those originate from the backend `suggestedQuestions` (static keys) — no user input. So skip. - **Focus: The well-being question buttons answer into `[data-wb-final-text]` but those questions are generated only when certain conditions; keys static. But there's a mismatch: cost and well-being backend questions return `key` like 'who-high-risk', and labels include text content. The JS sends `questionLabel + ' Responda...'`, which is a *suggested* question; the server runs DeepSeek on that chart data. If the chart data (e.g., chart-correlacao-bem-estar-ausencia) has privacy issues (min group), the AI service may return fallback. Whatever. Let me re-examine one thing carefully: For 'who-high-risk' the question asks to identify the high-risk employees by name, but the added suffix for well-being is "Responda de forma objetiva, sem citar nomes de colaboradores." This ensures no PII. Fine. For cost the suffix: "usando apenas os dados de custos disponíveis". fine. **But the question includes the entire label text, e.g., 'Quem são os colaboradores em risco alto?' - asking for individuals, then we instruct no names. DeepSeek may then return categories, etc. fine. Now let me think about what else might be a NEW bug that is real and worth reporting. Let's compare old cost request handling with new for **error UI**: Old cost error path: `notify(err.message...)` (toastr info). New helper: renders error inside the analysis panel (well-being style). OK, arguably better. Old cost behavior for `.pa-prod-analysis` click if chartId mapping missing: silent. New: shows error panel message. Better. **One difference**: The old cost analysis used `question: 'Explique os principais insights, pontos de atenção e ações recomendadas para este gráfico.'` — same as helper default but helper receives config.question with "de Custos." suffix. fine. **Another**: The well-being module previously did not call `bindAnalysisActions` inside loadInsights? Actually old code: `bindAnalysisActions(questionsEl)` after rendering questions? It existed before? The old code at lines 862ish: after `questionsEl.innerHTML = ...`, it called `bindAnalysisActions(questionsEl)`? The diff shows `bindAnalysisActions(questionsEl);` was already present? Wait the diff line around 869-876: Before this PR, well-being's loadInsights built the buttons WITHOUT escaping and called bindAnalysisActions(questionsEl) already (unchanged). And bindAnalysisActions bound clicks to console.info. So the suggested questions buttons existed but were inert (console only). Now they answer. Good. Wait, actually, the diff shows modifications in loadInsights only changed the button html building (escape) - the line `bindAnalysisActions(questionsEl);` was kept unchanged (it existed before). And the diff for bindAnalysisActions changed to also bind Adriana helper for `.pa-prod-analysis` and `.pa-ar-suggested-question` -> requestFinalQuestionAnalysis. OK. **Now, a truly important bug candidate I should check: the well-being suggested questions are only rendered when `payload.questions` non-empty (empty string when no questions). But `bindAnalysisActions(questionsEl)` also runs Adriana bind each time with document-scoped selector `.pa-wb-dash .pa-prod-analysis[data-analysis]`; the static analysis button is only inside the DOM at page load. Good. **Potential double-binding of `.pa-prod-analysis` (in produtividade) when helper bind is invoked... in produtividade bindUiActions is called once; fine. OK. Now let's search for other changed files? Actually all review files examined. Let me verify `ANALYSIS_CHART_ID` value for well-being 'chart-evolucao-faltas' matches the chart's id used in the template chart container for the trajectory chart; the chart ID used in analysis for bem_estar_ausencia AI is 'chart-evolucao-faltas', and WelfareAbsenceService handles that id (line 1241). Wait — careful: for the **trajectory** chart shown in the well-being dashboard (the analysis button 'wb-trajetoria-absenteismo'), the chart data actually used on screen is the "trajectory" data from `/trajetoria`, which mixes licenses and absences (chart 'chart-evolucao-faltas' only shows faltas operacionais? or the trajectory endpoint). Actually the trajectory section "Evolução da taxa de absenteísmo ... decomposta por tipo" uses `adaptTrajectory` which merges 'chart-evolucao-licencas' + 'chart-evolucao-faltas'. But the AI analysis requests 'chart-evolucao-faltas' only — a narrower dataset (faltas operacionais), not the full trajectory of absences. So the AI will analyze just the "faltas operacionais" part, which may not match what the chart on screen shows (the trajectory incl. medical leaves). This could produce misleading content, but it's a mapping/quality issue. Hmm, but wait old produtividade: is there a separate 'chart-produtividade-tempo' etc. Everything consistent there. Is this worth reporting? The trajectory chart is composite. Mapping to 'chart-evolucao-faltas' provides partial data. The user sees the analysis panel attached under the chart that shows trajectory with 5 series, but the AI analyzed only 1 series (operational absences). This is a data-integrity/business issue potentially misleading — but hard to verify without more context on the WelfareAbsenceService chart mapping. Risky to report as "bug". Might be okay to skip. Let me verify how WelfareAbsenceService's 'chart-evolucao-faltas' returns; does its trajectory include only operational absences, or a composite? Let me read WelfareAbsenceService around 1200-1260 plus methods for evolucaoFaltas and the trajectory endpoint. Actually the well-being backend controller has its own adaptTrajectory which merges licenses + absences to decompose by type (medical short/long/justified/unjustified/total). But service getChartData('chart-evolucao-faltas') would return just the "operational absences" series used within adaptTrajectory. Meanwhile AI analyzes service chart data for chart-evolucao-faltas = the raw operational absence chart (probably line by month of just counts). The on-screen chart is the decomposed rate by type. So the AI summary could be about raw faltas only, while the visible chart shows a composite. That could be perceived as inaccurate/misleading but it's a judgment call. Given this module data complexity, I'd probably not report to avoid noise. OK, so final set of NEW comments to make. But we need to be careful: review should focus on issues within the review files and be meaningful. Let me scan once more for a real bug: ### Re-examine `requestFinalQuestionAnalysis` for the well-being dashboard when the backend returns `payload.final` etc. Actually, wait: there's a subtle functional bug: **After a suggested question is answered, the 'final' content is replaced with the Q&A. But if the request fails, finalEl gets the error message. Then the catch/finally resets button. But if the user retries by clicking another question, works. OK. ### Now examine `escapeHtml` duplication plus the attribute quoting more carefully (well-being) - Actually another XSS-ish detail: In well-being, the question label and key come from the backend insights response, which in **mock mode** doesn't include questions. OK. ### Now examine if cost-analysis's suggested questions are currently unescaped in the Twig (static) — fine. ### One more: In the helper, `window.setButtonLoading` might be defined globally elsewhere; calling it if defined. If that global function toggles differently (e.g., removes is-loading) fine. ### Consider `getOrCreatePanel` for multiple clicks: When user clicks "Gerar Análise" a second time after success, helper removes the existing panel? Actually getOrCreatePanel: if panel exists it reuses it. On a new analysis, `renderAnalysis(panel, analysis)` overwrites innerHTML. Fine. ### Now the produtividade dashboards: the analysis panel HTML classes (`pa-prod-analysis-panel`) and avatar etc. rely on CSS present on produtividade page (shared people-analytics CSS). Old produtividade used same classes. OK. ### One more potential issue: In the produtividade module, helper bind passes `question: '... de Produtividade.'` and chartMap; also default chart used if unmapped. Previously requestAnalysis early-returned if no mapping; produtividade's `setAnalysisVisible` disables/hides buttons when there is no data. So buttons not visible. OK. ### Back to the "stale original label" helper detail: The helper stores `button.dataset.originalAnalysisLabel = label.textContent` on first loading state. If button label was 'Gerar Análise' initially, restore works. But if a button label was set to 'Gerando...' in DOM by default (some buttons may already render as loading), not relevant. Alright. I think new findings worth reporting (that aren't repeats) are limited. Let me determine the strongest 2-3 and avoid noise: 1. **(medium/low) PHP — guard only applied to 'final', siblings still emit misleading statements in the same empty-recut view.** Since the whole point of this change is "evitar insights enganosos quando não há dados suficientes", and the same function continues to render `cost_attention` with '—' and the definitive clause "tende a ter maior retorno financeiro", plus `at_risk_insight` claiming risk groups when 0, the fix is incomplete. This is a real consistency issue within changed method. I'll file it as medium. Wait, but is `cost_attention` shown in the empty state? Actually, the empty-data message in 'final' is the fix target: maybe the dashboards hide the cards? Let's quickly look at template around cost attention and final to understand if costEl card always shown. Let me search well-being template for `data-wb-cost-attention-text` container visibility. Actually, I realize the message data for cost_attention (adaptInsights) is displayed on screen; in empty periods, the same screen shows: cost card text "Maior componente é —, representando —. A redução de reincidência em áreas críticas tende a ter maior retorno financeiro." while the final area says "Ainda não há dados suficientes...". That's contradictory. This is a reasonable finding. Let me verify there's no separate emptiness gating for cost card. Search the template. 2. **(low) Well-being attribute injection via escapeHtml not escaping quotes** — low; maybe skip to keep high signal. Hmm. I lean to report as low severity? The instructions say "Focus primarily on actual code logic and functionality." The key comes from backend controlled strings; not user input. Skip. 3. **Possible bug — Well-being's 'cause-cost' question & 'critical-area-plan' etc produce responses based on different charts than questions intended** — data quality. Let me quickly verify the template gating for the cost attention card and final text in well-being page. Let me find where those data attributes appear.
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{"file_patterns": ["templates/people_analytics/well_being_absence_dashboard.html.twig"], "search_text": "data-wb-cost-attention-text|data-wb-final-text|data-wb-questions", "use_perl_regexp": true}
File: templates/people_analytics/well_being_absence_dashboard.html.twig
Match lines: 3
332|			<p class="pa-ar-attention__text" data-wb-cost-attention-text>Carregando…</p>
357|			<p class="pa-ar-final-insight__text" data-wb-final-text>
362|				<div class="pa-ar-final-insight__questions-list" data-wb-questions>

Request #57 deepseek-v4-flash P:75.6K C:124 CR:75.39K CW:0 2007ms
Reasoning
Let me read the template region 320-380 to see the layout and whether the "attention" card and final are visible unconditionally.
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{"end_line": 380, "file_path": "templates/people_analytics/well_being_absence_dashboard.html.twig", "start_line": 318}
File: templates/people_analytics/well_being_absence_dashboard.html.twig (Total lines: 399)
IS_TRUNCATED: false
LINE_RANGE: 318-380
318|				<div class="pa-prod-kpi__title">Principal Componente</div>
319|				<div class="pa-prod-kpi__value pa-wb-cost-kpi__value pa-wb-cost-kpi__value--teal" data-kpi-value>…</div>
320|				<div class="pa-prod-kpi__delta pa-prod-kpi__delta--neutral" data-kpi-delta>
321|					<span class="pa-prod-kpi__delta-text">Carregando…</span>
322|				</div>
323|			</div>
324|		</div>
325|
326|		{# ---------- Ponto de Atenção do custo ---------- #}
327|		<div class="pa-ar-attention pa-wb-attention" data-wb-cost-attention>
328|			<div class="pa-ar-attention__head">
329|				<i class="fas fa-circle-info pa-ar-attention__icon"></i>
330|				<span class="pa-ar-attention__title">Ponto de Atenção <i class="fas fa-wand-magic-sparkles pa-ar-spark"></i></span>
331|			</div>
332|			<p class="pa-ar-attention__text" data-wb-cost-attention-text>Carregando…</p>
333|		</div>
334|
335|		{# ============================================================
336|		   SEÇÃO: Áreas Críticas e Plano de Ação
337|		   ============================================================ #}
338|		<div class="pa-prod-section">
339|			<h2 class="pa-prod-section__title">Áreas Críticas e Plano de Ação</h2>
340|			<p class="pa-prod-section__desc">
341|				Três áreas com índice abaixo de 6,5 que demandam intervenção. Cada uma com diagnóstico específico e ações recomendadas baseadas na análise de drivers.
342|			</p>
343|		</div>
344|
345|		<div class="pa-prod-grid pa-prod-grid--cols-3 pa-wb-action-grid" data-wb-action-grid>
346|			<div class="pa-ar-table__empty">Carregando áreas críticas…</div>
347|		</div>
348|
349|		{# ============================================================
350|		   ANÁLISE DA ADRIANA (texto institucional)
351|		   ============================================================ #}
352|		<div class="pa-ar-final-insight">
353|			<div class="pa-ar-final-insight__title">
354|				<img src="{{ userAvatar }}" alt="{{ userName }}" class="pa-prod-insight__avatar">
355|				Análise da {{ userFirstName }}
356|			</div>
357|			<p class="pa-ar-final-insight__text" data-wb-final-text>
358|				Carregando análise…
359|			</p>
360|			<div class="pa-ar-final-insight__questions">
361|				<span class="pa-ar-final-insight__questions-label">Perguntas sugeridas</span>
362|				<div class="pa-ar-final-insight__questions-list" data-wb-questions>
363|					<span class="pa-ar-table__empty">Carregando perguntas…</span>
364|				</div>
365|			</div>
366|		</div>
367|
368|	</div>
369|</div>
370|
371|{% endblock %}
372|
373|{% block javascripts %}
374|	{{ parent() }}
375|
376|	<script src="{{ asset('js/metahuman-standard.js') }}"></script>
377|
378|	{# Highcharts (mesmo conjunto usado pelos outros dashboards) #}
379|	<script src="https://code.highcharts.com/highcharts.js"></script>
380|	<script src="https://code.highcharts.com/highcharts-more.js"></script>
Request #58 deepseek-v4-flash P:76.66K C:434 CR:75.65K CW:0 4242ms
Reasoning
So in the well-being page, the `data-wb-cost-attention` block is static and always rendered; in empty period, its content comes from cost_attention which still emits "Maior componente é —, representando —. A redução de reincidência em áreas críticas tende a ter maior retorno financeiro." This is visible even when no data, contradicting the new empty state 'final' message right below. So the incomplete-fix issue is real and user-visible. This is a medium severity "incomplete fix" observation. Actually wait — is it in scope? The diff's change is specifically intended to implement "Não gerar conclusões fortes quando os dados do recorte estiverem vazios". The new `hasMeaningfulData` fallback only changes the 'final' string. The sibling messages (executive at 'data-wb-final'? No, the final block shows 'final'). `executive` and `at_risk_insight` are not displayed? Where's `executive` shown? Let's search for data attribute of executive: the top "leitura executiva"? Actually there may be an executive insight card elsewhere, but let's see where payload.executive/at_risk_insight are used. Search in well-being JS: 'executive' appears in data response handling? Let me search for `data-wb-exec` or usage of at_risk_insight. Let me search.
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{"file_patterns": ["public/js/people-analytics/modules/well-being-absence-dashboard.js", "templates/people_analytics/well_being_absence_dashboard.html.twig"], "search_text": "at_risk_insight|executive", "use_perl_regexp": true}
File: public/js/people-analytics/modules/well-being-absence-dashboard.js
Match lines: 4
139|    executiveReading: {
494|  function loadExecutiveReading(filters) {
498|        if (el) el.innerHTML = (data && (data.executive || data.executiveReading)) || '—';
991|    loadExecutiveReading(filters);

File: templates/people_analytics/well_being_absence_dashboard.html.twig
Match lines: 2
111|			<div class="pa-prod-kpi pa-prod-kpi--executive pa-ar-exec-card pa-wb-exec-card" data-wb-exec-card>
112|				<div class="pa-prod-kpi__title pa-prod-kpi__title--executive">

Request #59 deepseek-v4-flash P:77.28K C:133 CR:77.06K CW:0 2097ms
Reasoning
Let me check what endpoint loadExecutiveReading uses and whether it's adaptInsights' 'executive' (from /insights). Let me read loadExecutiveReading at ~494-510.
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{"end_line": 520, "file_path": "public/js/people-analytics/modules/well-being-absence-dashboard.js", "start_line": 485}
File: public/js/people-analytics/modules/well-being-absence-dashboard.js (Total lines: 1019)
IS_TRUNCATED: false
LINE_RANGE: 485-520
485|        document.querySelectorAll('[data-wb-kpi-key]').forEach(function (card) {
486|          const key = card.getAttribute('data-wb-kpi-key');
487|          const kpi = byKey[key];
488|          if (kpi) renderKpi(card, kpi);
489|        });
490|      })
491|      .catch(function (err) { console.error('[WellBeingAbsence] /kpis falhou:', err); });
492|  }
493|
494|  function loadExecutiveReading(filters) {
495|    const el = document.querySelector('[data-wb-exec-text]');
496|    return forceOrFetch(FORCE_MOCK.insights, MOCK.insights, '/insights', filters, 'cards')
497|      .then(function (data) {
498|        if (el) el.innerHTML = (data && (data.executive || data.executiveReading)) || '—';
499|      })
500|      .catch(function (err) {
501|        console.error('[WellBeingAbsence] leitura executiva falhou:', err);
502|        if (el) el.innerHTML = 'Não foi possível carregar a análise executiva.';
503|      });
504|  }
505|
506|  // =====================================================================
507|  // TRAJETÓRIA DO ABSENTEÍSMO (5 séries + plotLines)
508|  // =====================================================================
509|  function loadTrajectory(filters) {
510|    const el = document.getElementById('wb-trajetoria-absenteismo');
511|    if (!el || !window.Highcharts) return Promise.resolve();
512|    setLoading(el);
513|
514|    return forceOrFetch(FORCE_MOCK.trajetoriaAbsenteismo, MOCK.trajetoriaAbsenteismo, '/trajetoria-absenteismo', filters, 'series')
515|      .then(function (data) {
516|        clearOverlay(el);
517|
518|        const categories = (data && (data.categories || data.labels)) || [];
519|        const series = ((data && data.series) || []).map(function (s) {
520|          return {
Request #60 deepseek-v4-flash P:77.94K C:1.26K CR:77.31K CW:0 9994ms
Reasoning
Note: `loadExecutiveReading` and `loadInsights` both call `/insights`. loadExecutiveReading renders `data.executive` into the exec card, and loadInsights renders `data.cost_attention`, `data.final`, and questions. So on the empty period, the exec card shows executive message: "Absenteísmo em —%, ... custo estimado de R$ 0. 0 colaboradores aparecem em risco alto/médio no período." and cost attention shows dashes with a strong recommendation; final now shows the fallback. And at_risk_insight isn't even used? Search shows it's not referenced in the JS. So at_risk_insight is unused — that's just existing. So the visible "empty state" messages: executive (— numbers), cost_attention (— numbers + strong guidance), final (fallback message). The inconsistency is evident: the fallback is only one of the three visible texts. However, the diff PR only touched 'final' and the question gating. So it's a partially complete fix. I'll report as a medium severity consistency issue anchored on the new `hasMeaningfulData`/fallback lines. Wait, but also "leitura executiva" uses `$kpiMap['absence-rate'] ?? '—'` — with no data, does adaptKpis return absence-rate? If it returns empty, executive = "Absenteísmo em —%". If not, fine. OK now the confirmed #3 already notes controller growth; not repeat. Now, let me think about what other files remain to give their own pass: The templates (twig) just add script tags. Worth checking script inclusion path correctness: - `asset('js/people-analytics/modules/adriana-chart-analysis.js')` — file exists at public/js/people-analytics/modules/adriana-chart-analysis.js. Yes (new file). Good. Wait — file new is `public/js/people-analytics/modules/adriana-chart-analysis.js` and the three templates reference `adriana-chart-analysis.js` (path without the subfolder? Let me check the asset path). Templates use: `js/people-analytics/modules/adriana-chart-analysis.js`. Yes consistent. Now examine the **file naming test** mentioned earlier: `tests/Unit/Product/PeopleAnalyticsDashboardFilesTest.php` asserts that `ai-analysis-chat.js` asset appears in template. Are there tests asserting the set of module JS included per template? That might require each dashboard template to include specific files and could be updated. Since we're not allowed to comment on files outside review_files, but we can read them. There could be a test that breaks because templates changed but test expectations unchanged? Probably not; the templates added new script tags; tests usually assert presence not absence. Skip. Now, before finalizing, let me double-check one more potential real bug regarding the helper and well-being page: the well-being analysis panel insertion into the card at template line 132 card `.pa-prod-card.pa-prod-card--chart` — the helper's getOrCreatePanel appends panel to card (as last child). But the card also has overlay for chart etc. Fine. Actually, wait: In well-being template, the analysis button is inside `.pa-prod-card__foot`, but the trajectory card body is `.pa-wb-trajectory-body` with the chart inside. Appending the analysis panel to `.pa-prod-card` adds after `.pa-prod-card__foot` — similar to other modules? In produtividade the panel appended to card too. Fine. Now one more issue: **In well-being, chart's analysis button is the FIRST of its kind bound by the helper on `.pa-wb-dash`. But bindAnalysisActions is also called from `loadInsights`, and in loadInsights the bind is invoked with questionsEl root. But bindAnalysisActions(document) call in bindUiActions at init happens BEFORE charts load. The static analysis button exists already; bound. Fine. Let me also check: when `loadInsights` gets an error (catch), it sets `questionsEl` text... doesn't call bindAnalysisActions. Fine. Now check produtividade file bindUiActions for the removal of the `[data-analysis]` binding: new code only calls helper if window.PeopleAnalytics.AdrianaChartAnalysis exists. In the template the helper is loaded right before module. Fine. I think one more genuinely useful new finding: **The helper's bind for well-being is triggered from bindAnalysisActions which is called every time insights are reloaded; meanwhile `.pa-prod-analysis` static button gets jQuery click handler via `.bind`. But if the whole dashboard content is re-rendered by an SPA-like navigation or the global filter update re-initializes? Not. Let me now also verify that the `produtividade-dashboard.js` bindUiActions doesn't still reference `requestAnalysis` or removed functions. The search earlier found no leftover references. Good. Also `notify` defined at 1294 remains used for other purposes; is `notify` still referenced? Search found function definition only at 1294 in produtividade (defined but maybe unused now?). Let me search usages of notify( in produtividade.
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{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "notify\\("}
No matches found
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{"file_patterns": ["public/js/people-analytics/modules/cost-analysis-dashboard.js"], "search_text": "currentFilters\\s*="}
No matches found
Request #61 deepseek-v4-flash P:79.23K C:323 CR:79.1K CW:0 3105ms
Reasoning
Interesting: `notify(` has no usages in produtividade-dashboard.js; so `notify` is now dead code after the removal of requestAnalysis (old produtividade analysis used notify(err.message)). The function at 1294 is dead. But this file already is large; dead code is minor. This is in the review file (produtividade-dashboard.js). The dead code rule says: "Variables declared but never read or referenced" and "code blocks never executed". A leftover `notify` function is dead code but low severity. Since `notify` may have other uses we didn't catch... search returned no call sites; let me double check, maybe `notify` is called with parentheses across multiple lines. Let me search with just `notify`.
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{"file_patterns": ["public/js/people-analytics/modules/produtividade-dashboard.js"], "search_text": "notify"}
File: public/js/people-analytics/modules/produtividade-dashboard.js
Match lines: 1
1294|  function notify(msg) {

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{"end_line": 1310, "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: 1180-1310
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)
Request #62 deepseek-v4-flash P:81.02K C:2.93K CR:79.49K CW:0 24176ms
Reasoning
`notify` is defined at line 1294 but no longer used since requestAnalysis was removed (it was the only caller). This is dead code introduced by the refactor (leftover). Low severity per rules (dead code). It's within review file. I can file a low-priority comment: leftover dead function `notify` no longer referenced after the refactor removed its only caller; remove to avoid dead code. Also might the function removal have dropped the `console.info`-based notification path that other code may rely on? no. Also in produtividade, `getAnalysisPanel` still used by setAnalysisVisible. Good. Wait, `setDashboardLoading` calls `setAnalysisVisible(key, false)` for each ANALYSIS_CHART_ID key; setAnalysisVisible looks up `[data-analysis="${key}"]` in the whole document, not scoped. Fine. Now consider another potentially real issue in produtividade: after the analysis button click (helper), the panel is rendered. But if chart reloads and data becomes empty, setAnalysisVisible hides the button and removes the panel. Fine. Now let me also check `getAnalysisPanel` (produtividade) remains used by anything else after removal? Only setAnalysisVisible at line 275. OK. Now let's check that in produtividade, the buttons use `pa-prod-analysis__label`? The helper's setButtonLoading gets label via `.pa-prod-analysis__label` or `span`. In produtividade template line 157 etc., the button markup probably has `<span class="pa-prod-analysis__label">Gerar Análise</span>`. OK. Now let me reconsider: cost dashboard's helper bind includes the `ca-trajetoria-folha` analysis button that may be inside a card that is inside `.pa-ca-dash`. Good. Let's also double check the attraction-retention dashboard still has its own functions but attraction-retention template doesn't include the new helper; no changes needed. Now, let me also check whether the well-being and produtividade pages are lazy-loaded modules loaded via the template's inline script calling `window.PeopleAnalytics.X.init()` after scripts. Not relevant. OK. Let me now decide the final comments. Given "Previously confirmed findings do not repeat" and "review every file" requirement: **File 1: adriana-chart-analysis.js (new helper)** - Confirmed #1 covers scope issue. Any other real issue in the helper? Let me re-scan: - `renderList` fine. - `setButtonLoading` uses a fallback global setButtonLoading that if exists and takes a loadingText; if the global uses its own logic. OK. - `requestAnalysis`: Uses jQuery `$.ajax`. `.done((json) => ...)`. If `json` is an error HTTP with responseJSON object etc. `.fail` handles. - `bind`: If config.module missing, warn and return — good. - But there's an issue: it binds ALL matched `.pa-prod-analysis` buttons, including those whose key isn't in chartMap, and clicking shows error "não possui um gráfico vinculado". In the well-being page, `.pa-wb-dash` may contain other `.pa-prod-analysis`? Only one. fine. - Another subtle issue in the helper: buttons whose data-analysis keys are inside ANALYSIS_CHART_ID but which are currently HIDDEN by `setAnalysisVisible` — clicking won't occur. fine. - The helper uses `panel = getOrCreatePanel(button, key)`. If button not in `.pa-prod-card`, returns null and then renderError(panel,...) silently does nothing. This is a possible silent failure — but fine. I don't see additional bug in helper beyond confirmed #1. **File 2: cost-analysis-dashboard.js** - new `requestFinalQuestionAnalysis`, `firstMeaningfulAnalysisText` duplication confirmed (well-being referenced in #2 but it says "entre este módulo e o cost-analysis-dashboard.js"). Confirmed finding #2 mentions these functions copied between well-being and cost module. It's the same finding — don't repeat. Any NEW issue in cost module diff? Let me think about the `.pa-ar-corr-card__btn` etc. not present. The `FINAL_QUESTION_CHART_ID` keys match template. The fallback default when key missing: `'chart-evolucao-custo-total'`. OK. Wait — one possible NEW issue: The helper `bind` with selector `.pa-ca-dash .pa-prod-analysis[data-analysis]` will NOT rebind buttons after a filter reload replaces the DOM. In the cost dashboard, does `reloadAll` replace the analysis button card? The card with the button is static; only chart innerHTML/data replaced by Highcharts. So fine. But in well-being, the analysis button static. Hmm. Another NEW possible issue: **`requestFinalQuestionAnalysis` in cost/well-being never checks if a question request is already in flight for that final element — two rapid clicks on two different buttons produce two overlapping requests both writing to the same final element.** Minor. **File 3: produtividade-dashboard.js** - leftover dead `notify` function (low severity). Also possibly the removed `requestAnalysis`'s notify usage meant errors are no longer surfaced except via console? New helper renders errors inside panel, good. Dead notify low. Wait, actually — I should double check: The old produtividade `requestAnalysis` was reachable for any element with `[data-analysis]`? Actually buttons with data-analysis only for ANALYSIS_CHART_ID. The old code used `document.querySelectorAll('[data-analysis]')`. But that selector would also match chart containers? Some chart containers may have `data-analysis` attributes for other purposes? If yes, clicking them would previously have done something? no—only chartIds in ANALYSIS_CHART_ID triggered. Now new selector `.pa-prod-dash .pa-prod-analysis[data-analysis]` is narrower. This means: any analysis-related button not having class `.pa-prod-analysis` inside `.pa-prod-dash` will no longer trigger analysis. But in produtividade, all buttons have that class. However, there might be an element with `data-analysis` that has different semantics and previously triggered? only buttons; none others. So not a regression. **File 4: well-being-absence-dashboard.js** - duplication confirmed; XSS escape gap (attribute quotes). The attribute injection: `data-question="' + escapeHtml(key) + '"`. Let's think whether double quotes could actually appear: `key` = from `q.key` server. The backend returns static keys. Even if a malicious actor could control the insights endpoint? The endpoint is internal with company scoping. Very low risk. And label is escaped and inside element text; escapeHtml works. I'd skip reporting this to avoid noise? Hmm. The instruction explicitly says XSS rules: "Não injete HTML vindo do usuário via .html()/innerHTML sem sanitização/allowlist." The label previously (before PR) was inserted raw: `'...' + label + ...` was inside the html string as a text? Actually old line: `'<i class=...></i>' + label + '</button>'` — label raw. Now escaped. So PR improves. Only the attribute remains questionable. I'll not report given low risk. **File 5: PHP** - incomplete fix consistency (new finding): cost_attention/executive still misleading when empty. Also confirm #3 for god controller. Also consider a potential real PHP issue in the changed lines: `$hasMeaningfulData` computed from `$cost['total']['rawValue']` etc. But `at_risk_insight` and cost cards are shown regardless; the 'final' fallback is inconsistent with them. I'll report as medium on the fallback lines. Wait — could there be a scenario where meaningful data (hasMeaningfulData true) but risk/cost/areas reflect zeroes due to mock? No, PHP only. Now, is there any other file-level thing in the templates to flag? The templates add script tag with `?v={{ 'now'|date('YmdHis') }}` (cache bust each render) — consistent with existing script tags (they already used that pattern). no issue. Let me now finalize comments. I want to be careful to give every file its pass and only report NEW issues. Let me pick comments: 1. **PHP** (medium): In `adaptInsights`, the new fallback treats only `final`, but `executive` and `cost_attention` still render definitive statements ("Maior componente é —... tende a ter maior retorno financeiro"; "Absenteísmo em —%...") when the recorte is empty. On the well-being screen these three texts appear together, producing contradictory info (final says no conclusive data, while the other blocks assert recommendations). Suggest extending the emptiness handling (hide/replace the other two texts too) — but that might be beyond diff... but it's aligned with the PR intent. Severity: medium (business quality). Provide as code comment anchored to the new lines. Hmm, wait — is this truly within the PR? The reviewer rules emphasize reporting regression/bugs in newly added code. This is the newly-added code being incomplete with respect to its declared goal. It's fair to flag. 2. **produtividade** (low): leftover dead `notify` after refactor. Comment anchored on the leftover? But `notify` isn't added in this diff; it's pre-existing and now unused because of removal in this diff. Rules say: "Avoid commenting on unchanged code" and "Focus on issues in newly added code". The removal created dead code but the notify function itself isn't in the diff (unchanged lines not part of diff). Actually the function notify at line 1294 is unchanged — not part of diff. Hmm. The dead code was created by the removal of requestAnalysis. But comments must attach to newly added code lines within diff. I cannot attach to unchanged `notify`. Could attach to the new bind block in bindUiActions? That seems weak. Dead-code cleanup of unchanged function isn't a "new issue". Skip. 3. Consider a real new bug I may have missed in the JS: In produtividade, previously the analysis fetch used `${API_BASE}/chart/${chartId}/ai-analysis` where API_BASE was probably '/people-analytics/api/produtividade'. New helper builds `/people-analytics/api/produtividade/chart/...`. Wait, is the produtividade API_BASE constant `/people-analytics/api/produtividade`? If it was different, e.g., `/people-analytics/api/produtividade` vs module alias, check old code: requestAnalysis used `${API_BASE}/chart/...` — and API_BASE for produtividade at top of file. But we saw produtividade fetchEndpoint '/dashboard-data' relative to API_BASE probably. The old AI call worked with API_BASE. New call uses module 'produtividade' → same path. Good. Let me double-check produtividade API_BASE constant to be sure 'produtividade' path is right. Actually wait — old produtividade requestAnalysis used `fetch(`${API_BASE}/chart/${chartId}/ai-analysis`, ...)`. If API_BASE='https://.../api/produtividade' fine. What about AI_MODULE constant? In produtividade there's no separate AI_MODULE; old used API_BASE = probably '/people-analytics/api/produtividade'. New uses module: 'produtividade' matches. good. 4. Now consider the cost old code AI call used AI_API_BASE = '/people-analytics/api/visao_geral_custos'? Actually AI_MODULE = 'visao_geral_custos'; AI_API_BASE = '/people-analytics/api/' + AI_MODULE. And the helper uses module: AI_MODULE = 'visao_geral_custos'. Wait but AI_MODULE in the cost file is 'visao_geral_custos', not matching the dashboard's own API_BASE = '/people-analytics/api/cost-analysis'. The generic route uses 'visao_geral_custos'. Yes, matches old. Great. 5. Now what about the well-being AI_MODULE 'bem_estar_ausencia' vs API_BASE '/people-analytics/api/well-being-absence'. Good; the AI endpoint uses bem_estar_ausencia as module (generic). Wait, does the module 'bem_estar_ausencia' resolver exist with the chart id 'chart-evolucao-faltas' and filters? WelfareAbsenceService getChartData('chart-evolucao-faltas', filters). But the filters for the AI call are the dashboard's currentFilters (e.g., {periodo:'...'}), normalized by the ChartFilterNormalizer in the controller. In WelfareAbsenceService->evolucaoFaltas($companyId, $filters), it expects specific keys. Let me read ChartFilterNormalizer to see how filters like 'periodo' map to start/end. Because if the AI flow passes 'periodo' to WelfareAbsenceService and the service can't resolve dates, the chart data could be empty or error. Hmm, but this is the same mechanism used by cost analysis previously (which used 'periodo' filters and worked), so normalizer likely maps to date range. Let me quickly read ChartFilterNormalizer.
Tool Calls (1)
file_find
Show Details
{"query_name": "ChartFilterNormalizer"}
src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php
Request #63 deepseek-v4-flash P:83.97K C:59 CR:83.84K CW:0 1542ms
Tool Calls (1)
file_read
Show Details
{"file_path": "src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php"}
File: src/Service/PeopleAnalytics/Chart/ChartFilterNormalizer.php (Total lines: 212)
IS_TRUNCATED: false
LINE_RANGE: 1-212
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|        $keyMappings = [
78|            'time_id' => 'team_ids',
79|            'team' => 'team_ids',
80|            'teams' => 'team_ids',
81|            'area' => 'team_group_ids',
82|            'areas' => 'team_group_ids',
83|            'member' => 'member_ids',
84|            'members' => 'member_ids',
85|        ];
86|
87|        foreach ($keyMappings as $oldKey => $newKey) {
88|            if (isset($filters[$oldKey])) {
89|                $value = $this->normalizeToArray($filters[$oldKey]);
90|                if (!isset($normalized[$newKey])) {
91|                    $normalized[$newKey] = $value;
92|                } else {
93|                    $normalized[$newKey] = array_unique(array_merge($normalized[$newKey], $value));
94|                }
95|            }
96|        }
97|
98|        // 6. Copiar outros filtros não processados
99|        foreach ($filters as $key => $value) {
100|            if (!isset($normalized[$key]) && !in_array($key, array_keys($keyMappings))) {
101|                $normalized[$key] = $value;
102|            }
103|        }
104|
105|        return $normalized;
106|    }
107|
108|    /**
109|     * Resolve período textual para datas
110|     */
111|    private function resolvePeriodFilter(string $period): ?array
112|    {
113|        $endDate = new \DateTime();
114|        $startDate = new \DateTime();
115|
116|        switch ($period) {
117|            case 'ultimo_mes':
118|            case 'last_month':
119|                $startDate->modify('-1 month');
120|                break;
121|
122|            case 'ultimo_trimestre':
123|            case 'last_quarter':
124|                $startDate->modify('-3 months');
125|                break;
126|
127|            case 'ultimo_semestre':
128|            case 'last_semester':
129|                $startDate->modify('-6 months');
130|                break;
131|
132|            case 'ultimo_ano':
133|            case 'last_year':
134|                $startDate->modify('-1 year');
135|                break;
136|
137|            case 'ultimos_30_dias':
138|            case 'last_30_days':
139|                $startDate->modify('-30 days');
140|                break;
141|
142|            case 'ultimos_90_dias':
143|            case 'last_90_days':
144|                $startDate->modify('-90 days');
145|                break;
146|
147|            case 'este_mes':
148|            case 'this_month':
149|                $startDate = new \DateTime('first day of this month');
150|                break;
151|
152|            case 'este_ano':
153|            case 'this_year':
154|                $startDate = new \DateTime('first day of January this year');
155|                break;
156|
157|            default:
158|                return null;
159|        }
160|
161|        return [
162|            'start_date' => $startDate->format('Y-m-d'),
163|            'end_date' => $endDate->format('Y-m-d')
164|        ];
165|    }
166|
167|    /**
168|     * Obtém datas padrão (último mês)
169|     */
170|    private function getDefaultDates(): array
171|    {
172|        $endDate = new \DateTime();
173|        // Usar 6 meses para ter dados suficientes para análise de IA sem ser muito restritivo
174|        $startDate = (new \DateTime())->modify('-6 months');
175|
176|        return [
177|            'start_date' => $startDate->format('Y-m-d'),
178|            'end_date' => $endDate->format('Y-m-d')
179|        ];
180|    }
181|
182|    /**
183|     * Normaliza valor para array
184|     */
185|    private function normalizeToArray($value): array
186|    {
187|        if (is_array($value)) {
188|            return array_map('intval', array_filter($value));
189|        }
190|
191|        if (is_string($value)) {
192|            // Se for string com vírgulas, separar
193|            if (strpos($value, ',') !== false) {
194|                return array_map('intval', explode(',', $value));
195|            }
196|            // Se for string numérica, converter para int
197|            if (is_numeric($value)) {
198|                return [(int) $value];
199|            }
200|            return [$value];
201|        }
202|
203|        if (is_numeric($value)) {
204|            return [(int) $value];
205|        }
206|
207|        return [];
208|    }
209|}
210|
211|
212|
Request #64 deepseek-v4-flash P:85.97K C:2.84K CR:83.97K CW:0 24690ms
Reasoning
OK. The normalizer converts 'periodo' textual to dates. But the currentFilters in dashboards likely include other keys like 'team_ids' etc. Fine. Now, I want to check one more possible real bug in the **well-being** data: the AI request for well-being 'wb-trajetoria-absenteismo' uses module bem_estar_ausencia + chart-evolucao-faltas. WelfareAbsenceService->getChartData('chart-evolucao-faltas', $filters) — this service method may require the company id in filters to derive data, but the generic controller sets company_id from user context. But **critical: WelfareAbsenceService->getChartData expects filters with company_id? Let's look at WelfareAbsenceService->getChartData. If missing company_id, throws or no data. The PeopleAnalyticsApiController adds company_id only if userContext->getCompany() non-null. OK. Confirmed #1 already addressed scope (company-level). Enough. Now let me also double check the cost dashboard old AI question asks "Explique os principais insights..." The old cost requestAnalysis posted `question: 'Explique...'` with the same chart. The new suggested-question and bind use question different but ok. I think the main NEW findings to report: A. (PHP, medium) Partial empty-state guard: fallback message only for 'final'; `executive`/`cost_attention` still emit strong guidance with '—' in the same empty screen → contradictory. Suggest gating those too or wording neutrally. B. (produtividade, low) Dead `notify` left after refactor. Could attach a comment to the new bind lines? Rules allow commenting on newly added lines. I might attach to the newly added bind block in produtividade bindUiActions: "O refactor removeu requestAnalysis, único usuário de notify() (linha 1294), que ficou morto — remover." But comment placement near new code that is unrelated to notify is odd. Perhaps better not to include; low value. Actually dead code is listed in mandatory rules. Attach to new code near the bottom? Since the comment is about the consequence of the refactor, I can place it at the new `if (window.PeopleAnalytics...)` bind call in produtividade. Hmm... Alternatively, skip produtividade notify. C. (well-being JS, low/medium) XSS via attribute injection? Let me more precisely consider. `escapeHtml` returns text with `&` `'`? Actually innerHTML will NOT escape single quotes or double quotes. `key` inside `data-question="..."` double-quoted attribute. Backend keys static. I'd rate low. I'd maybe not include. D. Actually let me recheck **one more possibly critical JS bug**: In well-being's bindAnalysisActions, the guard `el.dataset.wbBound === '1'` is per-element. For suggested-question buttons re-created each insights load, the guard resets because new elements. Good. BUT — after a question request completes, `.finally` sets `button.innerHTML = originalHtml`; originalHtml captured at click time. If between click and completion the button got replaced (e.g., period change triggers loadInsights → questionsEl.innerHTML replaced) then `.finally` operates on a detached old button; harmless. E. Consider **double render of `.pa-prod-analysis` (chart) analysis panel and the chart's own overlay?** no. F. Let me reconsider the fallback data: For cost dashboard's suggested question flow and chart map there's a subtle business logic point: question 'overpaying-no-return' ("Onde estamos pagando acima do mercado sem retorno?") maps to chart 'chart-custo-produtividade' (custo vs produtividade). But the question references market pay comparisons. If the AI receives data for cost-vs-productivity without market benchmark, answers may not reflect. Not a code bug per se. G. A genuine NEW bug might be in **`.pa-ar-suggested-question` binding in cost** — because the forEach binds only if the element's mapped data-analysis is missing. But what about the possibility that the analysis button has both classes `.pa-prod-analysis` and `.pa-ar-suggested-question`? Not in templates. H. Let me now double check well-being mock flag: `forceOrFetch` handles a backend call `/insights`. In mock mode (USE_MOCK_FALLBACK/FORCE_MOCK), the suggestions do not exist, so no question buttons; fine. Let me quickly check `forceOrFetch` to see if in mock mode the AI still works etc. Not needed. I think I should also look more carefully at the **adriana-chart-analysis.js `bind` with the `DEFAULT_SELECTOR`** when `config.selector` present. In cost they pass selector `.pa-ca-dash .pa-prod-analysis[data-analysis]`; no issue. Also note `bind` iterates matched buttons; if none matched because buttons rendered after AJAX? In cost, the analysis button is static. OK. One more thing: the cost and well-being question modules call `window.PeopleAnalytics.AdrianaChartAnalysis.request({module, getFilters, question}, chartId)`. The helper request returns Promise; errors rejected. OK. Now — after this long analysis, the final NEW reported issues: 1. PHP partial-empty-state (medium). 2. Possibly one more: well-being "data-question" attribute escape double quotes. Low. Let me also reconsider reporting the **produtividade selector narrowing regression potential**: If the analysis buttons are inside the DOM but helper not yet loaded (race because scripts at end of body: helper then module). Both loaded synchronously in order; bindUiActions called in init at DOMContentLoaded? Where is init invoked? Probably by inline script at bottom calling init after DOM ready. So helper is loaded. Fine. Wait, when is init invoked? Let me check each module's bottom: window.PeopleAnalytics.XDashboard = { init }. The template presumably calls init somewhere inside a `<script>` block? The templates show scripts at end. Search for `.init()` in the templates... Actually earlier we read cost template scripts region only to line ~610, did not see inline init call. Let me search templates for `Dashboard.init` or `init(` to see how it's invoked; maybe on DOMContentLoaded. Not critical. Given the token budget, I'll finalize with the PHP comment (medium) and the low XSS attribute comment and maybe the produtividade dead code (low) — wait rules say to give each file a pass but not necessarily comment every file. Let me decide against the XSS attribute comment because the data source is server-controlled static keys, so noise. But hmm, what about the `label` value — backend labels contain 'Quem são os colaboradores em risco alto?' static. Server-controlled. So skip. Let me reconsider the partial-empty-state comment severity: I'd rate medium, category other/bug. Actually, let me be careful and factual: in adaptInsights, if `$hasMeaningfulData` is false, only 'final' text changes. The other visible text fields — executive (displayed via data-wb-exec-text) and cost_attention (data-wb-cost-attention-text) — keep asserting with zeros/dashes. In an empty period, the exec card shows "0 colaboradores aparecem em risco alto/médio" and the attention text says "A redução de reincidência... tende a ter maior retorno financeiro" even though the final block says no conclusive data. Contradictory for users. I'll attach the comment at the `hasMeaningfulData` block or the `'final'` fallback ternary, in the PHP file. Now — is there any issue about the **suggested questions being hidden** when empty? The JS uses questions array from adaptInsights; when empty no questions. So 'cost-reduction' question won't appear because rawValue 0. And 'who-high-risk' requires risk>0; main cause etc. OK consistent. But wait: there's an inconsistency between `$hasMeaningfulData` and question gating: When `hasMeaningfulData` is true, the fallback is not shown, but the question set might still be empty (no risk, no cause, no critical, cost=0 → but then hasMeaningfulData false). Hmm fine. Another possible NEW PHP bug: The `executive` string says "Absenteísmo em —%" - but with empty data we may prefer not to show. Anyway. Actually, let me reconsider: is the reported "cost_attention" misleading text reachable in the empty state? `adaptInsights` always returns cost_attention string. Front shows it in an always-visible card. So yes. Also there is `at_risk_insight` in the response, but not used by the front (we found no JS usage). Not relevant. Also `executive` field: is data-wb-exec-text always visible? It's within data-wb-exec-card. If no data, shows dash values. These are pre-existing text behaviors. The only thing changed is final text. So a partial fix. Good as a comment. Let me also reconsider produtividade's `notify` dead-code: Should I include it? The rules list "Dead Code" among the mandatory checks, and removing requestAnalysis made notify dead. This is a byproduct of the diff (removal). Even though notify isn't newly-added, the dead code is introduced by the removal — it's a legit code review note to remove. Comment placement: on new bind block? The tooling requires existing_code snippet that exists in diff text (newly added lines). I can anchor to the new bind call lines (lines 1198-1208) in produtividade. The comment will appear there. That's acceptable — describe: "A remoção do fluxo antigo de requestAnalysis deixou a função notify(msg) (linha ~1294) sem nenhum chamador..." low severity. I'll include it as low. Now, any other NEW issue worth reporting in **cost-analysis-dashboard.js**? Let me think again about its specific diff. Actually — wait, an important functional check: the OLD cost dashboard bind loop included `.pa-prod-analysis` and handled buttons with `data-analysis` mapped to `ANALYSIS_CHART_ID`, calling `requestAnalysis(el)` for them — **including possibly `.pa-prod-analysis` buttons with a data-analysis that exists in ANALYSIS_CHART_ID but that are NOT `.pa-prod-analysis[data-analysis]` within `.pa-ca-dash`.** irrelevant. But there is a subtle NEW thing: the old cost handler returned early and did NOT preventDefault for mapped analysis buttons? Old code: `if (key && ANALYSIS_CHART_ID[key]) { requestAnalysis(el); return; }` without preventDefault → button was type=button anyway. New helper calls preventDefault. fine. Now — could there be a **double-click double-request** in cost because BOTH the helper's jQuery click AND the new forEach listener get attached to `.pa-ar-suggested-question`? The forEach attaches only to elements not skipped; suggested questions are not skipped (no data-analysis). The helper bind targets only `.pa-prod-analysis[data-analysis]`, so no overlap. OK. Let me also check whether cost dashboard's `.pa-prod-analysis` button for `ca-trajetoria-folha` is inside the `.pa-ca-dash` wrapper. Template line 23: wrapper has pa-ca-dash; button at line 186 nested within → yes. Now let me finalize the comments. Actually — one more important possible regression I should verify: The **cost dashboard old `requestAnalysis` set `btn.disabled = loading`** and there might have been additional UI features keyed off `.pa-prod-analysis` in the cost file elsewhere (e.g., in insights area, "analysis" for the final textual paragraph?). Not. Additionally: **`.pa-prod-analysis` may appear in well-being and cost templates only once** — but also the attraction/retention template page includes `.pa-prod-analysis` buttons for other charts that map to attraction module analysis. But the cost JS would not be loaded on that page. fine. Let me also make sure well-being module AI_MODULE and the ANALYSIS_CHART_ID are used with the correct chart when the well-being dashboard in **cost/AR pages**? Not. Now check `tests/Unit/Product/PeopleAnalyticsDashboardFilesTest.php` — maybe a test asserts that templates include specific module scripts and now there is a required ordering where adriana-chart-analysis.js must precede others? We saw each template includes helper BEFORE module. OK. Let me also confirm well-being template includes helper before the module. Read lines ~380-399.
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{"end_line": 399, "file_path": "templates/people_analytics/well_being_absence_dashboard.html.twig", "start_line": 373}
File: templates/people_analytics/well_being_absence_dashboard.html.twig (Total lines: 399)
IS_TRUNCATED: false
LINE_RANGE: 373-399
373|{% block javascripts %}
374|	{{ parent() }}
375|
376|	<script src="{{ asset('js/metahuman-standard.js') }}"></script>
377|
378|	{# Highcharts (mesmo conjunto usado pelos outros dashboards) #}
379|	<script src="https://code.highcharts.com/highcharts.js"></script>
380|	<script src="https://code.highcharts.com/highcharts-more.js"></script>
381|	<script src="https://code.highcharts.com/modules/exporting.js"></script>
382|	<script src="https://code.highcharts.com/modules/accessibility.js"></script>
383|
384|	<script src="{{ asset('js/people-analytics/print-report.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
385|	<script src="{{ asset('js/people-analytics/modules/adriana-chart-analysis.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
386|	<script src="{{ asset('js/people-analytics/modules/well-being-absence-dashboard.js') }}?v={{ 'now'|date('YmdHis') }}"></script>
387|
388|	<script>
389|		document.addEventListener('DOMContentLoaded', function () {
390|			if (window.jQuery && jQuery.fn.tooltip) {
391|				$('[data-toggle="tooltip"]').tooltip();
392|			}
393|			if (window.PeopleAnalytics && window.PeopleAnalytics.WellBeingAbsenceDashboard) {
394|				window.PeopleAnalytics.WellBeingAbsenceDashboard.init();
395|			}
396|		});
397|	</script>
398|{% endblock %}
399|
Request #65 deepseek-v4-flash P:89.25K C:2.27K CR:88.7K CW:0 17246ms
Reasoning
Good. Script ordering fine. Now let's verify whether the well-being module uses jQuery at all. The helper adriana-chart-analysis.js is wrapped in `(function ($) {...})(jQuery)`. On the well-being/cost/produtividade pages, is jQuery loaded before? These templates include metahuman-standard.js etc. jQuery probably available globally (since tooltip uses $). And bindUiActions etc are plain JS. The helper relies on jQuery's $.ajax and $(selector).each. Since jQuery is used elsewhere on the page (`$('[data-toggle="tooltip"]')`), fine. But is jQuery loaded BEFORE adriana-chart-analysis.js executes? If jQuery is loaded later (e.g., in parent block), the IIFE `(jQuery)` would throw ReferenceError? The IIFE receives `jQuery` as arg. If jQuery undefined at that time, ReferenceError "jQuery is not defined". But other module files also wrap with `(function($){...})(jQuery)` (e.g., chart-detail-filters?). Where does jQuery come from? Probably in base template parent() scripts. These dashboard templates put module scripts at the end of the body after all parent scripts, so jQuery is present. The same pattern used in produtividade module? Let me check the produtividade module header to see if it uses jQuery IIFE (it might use plain). Not important. Let's verify cost module similarly includes at the bottom? we read bottom - yes plain JS; helper uses jQuery. jQuery base is present. OK. Now let's finalize. New comments: 1. PHP partial empty-state fix (medium). Let me also formulate the "produtividade dead notify" (low) comment. Should I also mention the well-being question-answer chart mapping 'chart-evolucao-faltas' data mismatch (the button belongs to composite trajectory chart)? I'll leave out (risk of noise). Actually, wait — one more thing to verify regarding the PHP change: `'questions' => $this->suggestedQuestions($risk, $criticalAreas, $mainCause, $cost)`. Questions will be empty when no data. On front, `questionsEl.innerHTML = questions.map(...).join('')` — empty content, fine. But the label says "Perguntas sugeridas" always with empty list. minor. Now consider if there is a NEW **contract break**: adding `rawValue` to cost total response. Consumers of `/custo-totais`? Wait `adaptCostTotals` is not an endpoint directly? The well-being controller's `/custo-totais` endpoint probably calls adaptCostTotals? Let's check how endpoints are defined. In WellBeingAbsenceController, is adaptCostTotals exposed as endpoint? Possibly via `#[Route('/custo-totais')]` calling adaptCostTotals(filters). Since we're adding a key rawValue into the JSON response payload of that endpoint (if exposed), front consumers unaffected (extra key). Actually let me check where adaptCostTotals used: only adaptInsights and possibly a /custo-totais route. Not important because adding key is backward compatible. Let me also verify `suggestedQuestions` is not itself used with a `$cost` lacking rawValue elsewhere, e.g., attraction/retention? Search says only in this file. good. Alright, let me now finalize. Also, before calling done, do a final per-file pass listing what we reported: Files: 1. adriana-chart-analysis.js — confirmed #1 (scope). No additional new findings. 2. cost-analysis-dashboard.js — duplication included in confirmed #2. No new distinct finding? Actually duplicate code in cost is also part of #2. I think no new. 3. produtividade-dashboard.js — dead notify (low). 4. well-being-absence-dashboard.js — confirmed #2 (duplication). Additional? attribute escaping low? I'll skip. 5. WellBeingAbsenceController.php — confirmed #3 (god controller). New: partial empty-state guard (medium). 6-8. Twig templates — just add script includes; fine. Hmm, I worry about reporting the partial guard as a "new issue" given the controller is already flagged as god object by #3 (any growth flagged). The partial fix is separate and legit. Let me phrase comments in pt-BR following the format. Comment 1 (PHP, medium severity, bug/other): Content: "Na tela sem dados, só o texto final foi trocado pela mensagem de dados insuficientes, mas os outros blocos do mesmo payload continuam afirmando conclusões sobre o recorte vazio (o texto de ponto de atenção diz 'A redução de reincidência... tende a ter maior retorno financeiro' com componentes '—', e a leitura executiva mostra zeros). Como os três textos aparecem juntos no dashboard de Bem-estar/Ausência, o usuário vê uma orientação de ação ao lado da mensagem de 'sem dados conclusivos' — exatamente o insight enganoso que a PR diz evitar. Vale aplicar a mesma condição aos demais textos ou neutralizá-los quando hasMeaningfulData for falso." Anchor: on the new lines `$hasMeaningfulData = ...` or `'final' => !$hasMeaningfulData`. Anchor at `'final' => !$hasMeaningfulData`. Comment 2 (produtividade, low, maintainability/dead code): Anchor at the new bind block. Content about dead notify. Let me write final comments accordingly. Let me verify the exact code text in the new files for anchor matching: PHP lines: ``` + $costTotal = (float) ($cost['total']['rawValue'] ?? 0); + $hasMeaningfulData = $costTotal > 0 + || $mainCause !== null + || count($criticalAreas) > 0 + || ($risk['high'] + $risk['medium']) > 0; ``` and ``` + 'final' => !$hasMeaningfulData + ? 'Ainda não há dados suficientes...' ``` I'll anchor using `'final' => !$hasMeaningfulData`. Produtividade new lines: ``` + if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { + window.PeopleAnalytics.AdrianaChartAnalysis.bind({ + module: 'produtividade', ``` For the dead code comment, anchoring on those lines is odd. Better anchor on the removal? Can't (deleted lines). The instructions say only newly added code lines for comment anchor. So anchor on the bind block lines and note the leftover. Or, hmm, maybe skip this to avoid misplaced comment? It's a legitimate code review note though. Let me place it with existing_code `window.PeopleAnalytics.AdrianaChartAnalysis.bind({` within produtividade context, saying "com a remoção do antigo requestAnalysis, a função notify(msg) logo abaixo ficou sem chamadores..." It still relates to the refactor in the diff. Actually, I want to recheck the produtividade file to ensure `notify` truly no longer used anywhere. Search for `notify` earlier: only definition at 1294. So yes dead. Also in cost dashboard they removed `notify` entirely — cleaner. In produtividade they left it. Given consistency, a low comment is fine. Should I also flag in cost module that `firstMeaningfulAnalysisText`, `requestFinalQuestionAnalysis` duplicate? Confirmed #2 mentions this module and well-being. Skip. Let me finalize 2 comments. Wait, also — perhaps a stronger new finding: **well-being's question for high-risk ('who-high-risk' → 'chart-correlacao-bem-estar-ausencia') but the AI service privacy fallback (min group 5) may block list of individuals**, but the prompt suffix says don't cite names. OK. Alright, produce final answer with comments, then task_done. Actually let me reconsider severity of comment 1. It's about business data quality/misleading output—medium is reasonable. Let me double-check anchor snippet uniqueness in PHP diff for `'final' => !$hasMeaningfulData` — exists in the added lines. good. Let me also double check cost file anchor for any comment? none. For the produtividade dead-code comment, existing_code snippet: ``` if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { window.PeopleAnalytics.AdrianaChartAnalysis.bind({ ``` Must be consecutive added lines from the diff — yes they appear as added lines in the diff: ``` + if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) { + window.PeopleAnalytics.AdrianaChartAnalysis.bind({ + module: 'produtividade', ``` Good. Write comments now.
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{"comments": [{"content": "Em um recorte sem dados, apenas o texto 'final' passa a mostrar a mensagem de dados insuficientes, mas os outros textos retornados no mesmo payload continuam afirmando conclusões sobre o período vazio: a leitura executiva exibe 'Absenteísmo em —%... 0 colaboradores...' e o ponto de atenção de custo diz 'A redução de reincidência em áreas críticas tende a ter maior retorno financeiro' mesmo com componentes '—'. Como esses três blocos aparecem juntos na tela de Bem-estar/Ausência, o usuário vê uma recomendação de ação ao lado da mensagem de 'sem dados conclusivos' — exatamente o insight enganoso que esta PR declara evitar. Vale aplicar a mesma condição de $hasMeaningfulData aos demais campos (executive/cost_attention) ou neutralizá-los quando for false.", "existing_code": "            'final' => !$hasMeaningfulData\n                ? 'Ainda não há dados suficientes neste recorte para gerar uma leitura conclusiva de bem-estar, ausência e custo. Amplie o período ou ajuste os filtros para obter uma análise mais confiável.'", "category": "bug", "severity": "medium", "path": "src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php"}]}
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Request #66 deepseek-v4-flash P:91.53K C:261 CR:91.39K CW:0 2829ms
Reasoning
Now the produtividade dead code comment (low).
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{"comments": [{"category": "maintainability", "content": "A refatoração desta PR removeu o fluxo antigo de análise (requestAnalysis), que era o único chamador da função notify(msg) ainda declarada neste arquivo. Ela ficou como código morto, enquanto o cost-analysis-dashboard.js — que passou pela mesma refatoração — removeu a equivalente. Recomendo apagar notify deste módulo também, para não manter duas versões de tratamento de erro/toast espalhadas (uma viva no helper compartilhado e outra sem uso aqui).", "existing_code": "    if (window.PeopleAnalytics && window.PeopleAnalytics.AdrianaChartAnalysis) {\n      window.PeopleAnalytics.AdrianaChartAnalysis.bind({\n        module: 'produtividade',", "path": "public/js/people-analytics/modules/produtividade-dashboard.js", "severity": "low"}]}
(async)
Request #67 deepseek-v4-flash P:91.81K C:777 CR:91.78K CW:0 7152ms
Reasoning
Now let me consider whether there are more consequential new findings I should make. Let me revisit the review files one more time with the lens of potential issues: 1. adriana-chart-analysis.js — the `renderError` uses `alert-warning`, fine. One thing: helper's `bind` calls `.each` on jQuery object. And the binding happens at `bind` time. For well-being, `bindAnalysisActions` is invoked multiple times (init and each insights reload). Each call runs `window.PeopleAnalytics.AdrianaChartAnalysis.bind({...})`, re-querying all buttons but guarded. OK. 2. What about produtividade & cost & well-being if the Adriana helper script was included AFTER the module? Templates all include helper before module. OK. 3. Let me double check `FINAL_QUESTION_CHART_ID` for well-being keys compared to the backend question keys generated. Backend keys: 'who-high-risk', 'cause-cost', 'critical-area-plan', 'cost-reduction'. JS map has exactly those keys plus a fallback default of 'chart-custo-ausencias-area'. Question: the mapping choices for the question to chart might be logically reversed. E.g., 'cause-cost' → 'chart-ausencias-motivo' (breakdown of absences by cause of license). The question: "Quanto custa a principal causa de ausência?" — chart-ausencias-motivo is about count by cause, not cost. But there may be cost per cause elsewhere. This is a quality nuance about AI producing the cost answer from a count chart. Not conclusive — skip. 4. PHP: `$risk['high'] + $risk['medium']` and risk keys exist. Fine. 5. Let me check the JS binding for `.pa-prod-analysis` in the well-being module; the earlier confirmed finding #2 notes duplicated functions between modules. Nothing else. I think we're done. Let me verify comment #2 anchor: I used the new bind lines as existing_code in produtividade diff — matches added lines. Comment placed. Total comments: 2 new findings (plus confirmed ones already registered). Let me mark done.
Concluí a revisão dos arquivos do grupo. Os achados previamente confirmados (escopo/empresa no endpoint de IA, duplicação das funções de análise entre módulos e concentração de responsabilidades no controller) foram considerados e não repetidos. Novos pontos levantados nesta passada: 1. **src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php** — o guard de dados insuficientes cobre apenas o texto `final`; `executive` e `cost_attention` continuam emitindo orientações fortes com valores "—"/zero no mesmo recorte vazio, o que gera mensagens contraditórias na tela e contraria o objetivo declarado da PR. 2. **public/js/people-analytics/modules/produtividade-dashboard.js** — após a remoção do fluxo antigo de análise, a função `notify(msg)` ficou sem chamadores (código morto), divergente da limpeza feita no equivalente de custos. Os demais arquivos (helper compartilhado, cost-analysis-dashboard.js, well-being-absence-dashboard.js e os três templates Twig) foram revisados individualmente; não identifiquei outros problemas novos além dos já confirmados.
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{"state": "DONE"}

review_filter_task

Request #1 deepseek-v4-flash P:11.67K C:962 CR:3.71K CW:0 8015ms
Reasoning
Let me analyze the three comments. **c-0**: Path: public/js/people-analytics/modules/adriana-chart-analysis.js. The comment is about a data leak concern: these AI calls send only the filters chosen on screen, and the endpoint doesn't apply the same scope restrictions server-side as other People Analytics endpoints. It says the backend must apply restrictions by scope or limit the feature. Let me check the subject file's diff. The subject file is adriana-chart-analysis.js (new file). It contains requestAnalysis function that posts filters to `/people-analytics/api/${module}/chart/${chartId}/ai-analysis`. Wait — is this comment's subject protected? The comment is about behavioral/compatibility concern... Actually it's about a security/data-leak concern — a potential authorization issue. Hmm. Protected subjects include: Memory safety, Concurrency, Linkage and declaration consistency, Behavioral or compatibility change, A parameter the function accepts and never uses. Is an authorization/permission leak covered? Not explicitly among the protected subjects. Behavioral change? The comment claims that for a manager with team-restricted view, the chart is filtered but the Adriana response could contain company-wide numbers. This is about backend behavior which isn't visible in the diff. The Agent had access to the full codebase, presumably including the server-side controller. The comment itself references PeopleAnalyticsApiController. Ground A: does the comment target code not in the subject file? The subject file does contain the ajax request with filters being sent. The comment describes that behavior. So it's present. But the claim about the backend not applying scope restrictions can't be verified from the diff. That's fine — unverifiable is not incorrect. Ground B: is there a diff line that literally contradicts the central claim? The subject diff only shows the client sending filters. There is no server code in this group showing whether permission filters are applied. So no contradiction. Protected subjects: The comment is about a data leak / authorization. It's arguably a security concern but not in the protected list. However the removal criteria... Actually, since we can't prove the comment wrong, we approve. **c-1**: Path: public/js/people-analytics/modules/well-being-absence-dashboard.js. Comment says functions (escapeHtml, firstMeaningfulAnalysisText and the requestFinalQuestionAnalysis/renderFinalQuestionResponse flow) were copied almost identically between this module and cost-analysis-dashboard.js, despite the PR creating a shared helper. Suggests exporting utilities. Is this about protected subjects? It's about code duplication/maintainability. Not protected. Ground A: the code it describes is present in the subject file diff (escapeHtml, firstMeaningfulAnalysisText, requestFinalQuestionAnalysis, renderFinalQuestionResponse are all added in well-being-absence-dashboard.js). Ground B: does any diff line contradict the central claim? The claim is that these functions are duplicated between the two modules. Indeed in cost-analysis-dashboard.js the same functions exist (firstMeaningfulAnalysisText, requestFinalQuestionAnalysis; escapeHtml exists already). So the claim is true. Approve. **c-2**: Path: src/Controller/Api/PeopleAnalytics/WellBeingAbsenceController.php. Comment says the controller has ~900 lines and concentrates orchestration etc.; this PR adds more business logic — hasMeaningfulData, new fallback message, revised condition in suggestedQuestions. Suggests extracting; and that the new rule lacks automated test coverage. Is the subject protected? No. The comment targets architectural/test-coverage concerns. Ground A: the described code (hasMeaningfulData, fallback message, suggestedQuestions condition) is present in the diff. Ground B: contradicts? No. It's opinion plus a claim about test coverage which can't be verified from diff. Approve. All three comments seem to be about things present in diffs and none literally contradicted. So approve all. Wait, let me reconsider each for any Ground B possibility. c-0: claims the backend doesn't apply permission filters — but there's no server-side AI-analysis endpoint diff. It could be contradicted if... no. Approve. Actually let me think about protected-subject veto for c-0 more carefully. It's a security authorization concern — data leak of cost/payroll/risk data to unauthorized users. Not in the listed protected categories explicitly. But even so, can't remove on Ground A or B since not provable wrong. Approve. Approve all.
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{}
Request #2 deepseek-v4-flash P:11.4K C:2.1K CR:4.99K CW:0 16307ms
Reasoning
Let me analyze the two comments. Comment c-0 is about produtividade-dashboard.js. It claims that the refactoring removed requestAnalysis, which was the only caller of the notify(msg) function still declared in this file. It says notify became dead code. Let me check the diff for produtividade-dashboard.js. The diff shows removal of setAnalysisLoading, renderAnalysisList, renderAnalysisResult, requestAnalysis. The comment says notify(msg) is still declared in this file and became dead code. I need to check: is notify actually declared in this file? Looking at the diff, the removed functions don't include notify. The diff for produtividade-dashboard.js shows removal of setAnalysisLoading, getAnalysisPanel (kept), renderAnalysisList, renderAnalysisResult, requestAnalysis... wait let me re-read. The diff for produtividade-dashboard.js: - Removes setAnalysisLoading - Keeps getAnalysisPanel (context) - Removes renderAnalysisList - Removes renderAnalysisResult - Removes requestAnalysis - In bindUiActions, changes the click binding The comment says "notify(msg) ainda declarada neste arquivo" (notify still declared in this file). But I can't see notify in this diff — the diff doesn't show notify being declared. However, the diff is partial context. The comment's claim is about code that's not shown in the diff... but the Agent may have seen the full file. Wait — actually the claim is that notify is still declared in the file and is now dead code because requestAnalysis was its only caller. This is about the removal of requestAnalysis. Is this a protected subject? The comment is about dead code / unused function. Hmm. Actually let's think about Ground A: the comment targets code that is not in the subject file's diff. The comment describes notify(msg) being declared in the file. But the diff for produtividade-dashboard.js doesn't show notify declaration nor its removal. So can I verify? The comment claims notify is dead code. From the diff alone I can't see notify at all. But wait, the review comment says "Ela ficou como código morto, enquanto o cost-analysis-dashboard.js — que passou pela mesma refatoração — removeu a equivalente." In cost-analysis-dashboard.js diff, we see `function notify(msg)` was removed. In produtividade-dashboard.js, we see requestAnalysis removed but notify not removed in the diff. Hmm. So is the comment factually wrong? The comment's central claim: notify(msg) still declared in produtividade-dashboard.js and is now dead code because requestAnalysis (its only caller) was removed. From the diff alone, I can't see notify in produtividade-dashboard.js. But I also can't prove it's not there. The diff context might not show it. The comment might be true — the Agent had access to the full file. Ground A requires that the symbol/construct the comment describes appears nowhere in the subject file's diff. The comment describes notify(msg) as still declared in this file. The diff doesn't show notify at all in produtividade-dashboard.js. Hmm, but Ground A says "it discusses the body of a function, on a file that only declares or references it". Actually, this is tricky. The comment says notify is dead code. To prove it wrong, I'd need a diff line showing notify is still used somewhere. Is notify used anywhere in the group? Let me check other files. In cost-analysis-dashboard.js, notify was removed. produtividade-dashboard.js - notify not shown. So I cannot confirm the comment is wrong. But Ground A: is the code it describes absent from its subject file's diff? The comment describes the removal of requestAnalysis (present in diff) and the existence of notify. notify is not present in the diff. However, the claim "requestAnalysis was removed, which was the only caller of notify" — the removal of requestAnalysis IS in the diff. And whether notify is dead depends on whether notify has other callers, which I can't see from the diff. Actually wait. Let me reconsider. The question is whether the diff proves the comment wrong. It doesn't. It's unverifiable. Approve. Is there any protected subject? Dead code / unused function — not in the protected list (unused parameter is protected, but an unused function is not exactly... well it's about a function becoming dead). Not protected. But we can't prove it wrong, so approve. Actually, let me reconsider whether the comment is factually correct in what the diff shows: The diff of produtividade-dashboard.js shows that in bindUiActions, the old code `document.querySelectorAll('[data-analysis]').forEach((btn) => { btn.addEventListener('click', () => requestAnalysis(...)); });` was replaced. But did requestAnalysis get removed? Yes, in the produtividade diff, `function requestAnalysis(key) {...}` block is removed. And notify — is it removed? Not in the shown diff. So notify likely remains declared. But is notify really only called by requestAnalysis? Other functions might call notify (e.g., error handling elsewhere in file). The comment claims requestAnalysis was the only caller. The Agent saw full file. From diff, I cannot confirm whether other callers of notify exist in the file. So I can't disprove the comment. Approve. Comment c-1 is about WellBeingAbsenceController.php. It argues that in an empty-data recorte, only 'final' text shows the insufficient-data message, but other texts (executive, cost_attention) still affirm conclusions. It says this is inconsistent/misleading. Is this comment factually wrong per the diff? Let's look. The diff adds `$hasMeaningfulData` and makes 'final' conditional. The 'executive' and 'cost_attention' fields are unchanged (still unconditionally sprintf with same content). So the comment's description of the code is accurate — executive and cost_attention are not guarded by $hasMeaningfulData. Wait, but the comment's factual claim: "a leitura executiva exibe 'Absenteísmo em —%... 0 colaboradores...'". Hmm, that's describing what executive shows. Actually executive shows sprintf with placeholders. We don't see the full content of executive in the diff. The comment's claim is about behavior when there's no data. Is it factually wrong? The comment is a critique/recommendation to apply the same condition to other fields. It's about behavior/semantics. It's not contradicted by a diff line. The executive and cost_attention lines are indeed not modified by the diff and not guarded. Hmm, but is the comment about a behavioral change? No, it's recommending a further change. Its subject — is it protected? It reasons about business semantics/UX. It's a suggestion to change behavior in a way. Not protected category per se. Actually, the comment's subject could be considered... it's a design critique that the insufficient-data handling is incomplete. Ground B requires a diff line literally contradicting its central claim. The diff shows 'final' conditional on $hasMeaningfulData — consistent with the comment. The other fields remain unconditional — consistent with the comment. So no contradiction. Approve. Could Ground A apply? The comment targets the controller file and discusses executive/cost_attention/final fields, which are all present in the file's diff (well, executive is in context, cost_attention in context, final modified). The code is present. Approve. So both comments get approved. Let me call approve_all_comments. Actually let me double-check c-0 more carefully for Ground A possibility. Ground A: "the comment targets code that is not in its subject file's diff." The comment targets notify(msg) which is... not shown in the diff at all. Hmm. But the comment is about the removal of requestAnalysis making notify dead. The removal IS in the diff. And the comment quotes existing_code from bindUiActions in the file. The central claim is a consequence: notify is dead code. This requires knowledge beyond the diff (that requestAnalysis was notify's only caller and notify isn't used elsewhere). The diff does show requestAnalysis removal. It doesn't show notify removal. If I were strict: the comment describes notify as "ainda declarada neste arquivo" (still declared in this file). The subject file's diff doesn't contain notify declaration. But the diff also doesn't contradict it. Ground A says "The symbol, statement, or construct the comment describes appears nowhere in the <file> whose path the comment names." The construct "notify declaration" appears nowhere in the diff shown. Hmm — but this is a partial diff, not the whole file. Ground A is about "absent from its subject file's diff", meaning absent from the diff hunk. If notify is not in the diff at all, then... the comment discusses a function whose declaration isn't in the diff. But wait, this ground is designed for cases like "it discusses the body of a function, on a file that only declares or references it" — meaning the diff of the file doesn't contain the code being discussed. If the file's diff doesn't contain notify at all, then the comment about notify being dead code is not verifiable from the diff. Actually, the comment's point is about the removal of requestAnalysis. The removal is in the diff. The comment asserts notify became dead. We cannot verify this from the diff, but we cannot disprove it either. The default is to approve. Unverifiable is not incorrect. Also, consider that this may relate to the code-review task where notify could still be used by other functions in the file not shown. Given "When your evidence falls short of proof, approve", I approve. So approve all.
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