feat: Add NPV comparison and distribution charts to reporting
- Implemented NPV comparison chart generation using Plotly in ReportingService. - Added distribution histogram for Monte Carlo results. - Updated reporting templates to include new charts and improved layout. - Created new settings and currencies management pages. - Enhanced sidebar navigation with dynamic URL handling. - Improved CSS styles for chart containers and overall layout. - Added new simulation and theme settings pages with placeholders for future features.
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## 2025-11-12
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- Fixed critical 500 error in reporting dashboard by correcting route reference in reporting.html template - changed 'reports.project_list_page' to 'projects.project_list_page' to resolve NoMatchFound error when accessing /ui/reporting.
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- Completed navigation validation by inventorying all sidebar navigation links, identifying missing routes for simulations, reporting, settings, themes, and currencies, created new UI routes in routes/ui.py with proper authentication guards, built corresponding templates (simulations.html, reporting.html, settings.html, theme_settings.html, currencies.html), registered the UI router in main.py, updated sidebar navigation to use route names instead of hardcoded URLs, and enhanced navigation.js to use dynamic URL resolution for proper route handling.
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- Fixed critical template rendering error in sidebar_nav.html where URL objects from request.url_for() were being used with string methods, causing TypeError. Added |string filters to convert URL objects to strings for proper template rendering.
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- Integrated Plotly charting for interactive visualizations in reporting templates, added chart generation methods to ReportingService (\_generate_npv_comparison_chart, \_generate_distribution_histogram), updated project summary and scenario distribution contexts to include chart JSON data, enhanced templates with chart containers and JavaScript rendering, added chart-container CSS styling, and validated all reporting tests pass.
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- Completed local run verification: started application with `uvicorn main:app --reload` without errors, verified authenticated routes (/login, /, /projects/ui, /projects) load correctly with seeded data, and summarized findings for deployment pipeline readiness.
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- Fixed docker-compose.override.yml command array to remove duplicate "uvicorn" entry, enabling successful container startup with uvicorn reload in development mode.
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- Completed deployment pipeline verification: built Docker image without errors, validated docker-compose configuration, deployed locally with docker-compose (app and postgres containers started successfully), and confirmed application startup logs showing database bootstrap and seeded data initialization.
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