- Added Express server with SQLite database connection. - Created API endpoints to fetch categories, KPIs, measurements, and statistics. - Implemented error handling for database operations. feat: Create ChartModal component for visualizing KPI data - Developed ChartModal to display line charts for KPI measurements. - Integrated Chart.js for rendering charts with responsive design. - Added styling for modal and chart components. feat: Add ExportModal component for exporting KPI data - Implemented ExportModal to allow users to select data ranges for export. - Included radio buttons for predefined time ranges (last week, month, year, all data). - Styled modal for better user experience. feat: Introduce RangeChartModal for dynamic range selection - Created RangeChartModal to visualize KPI data over user-selected time ranges. - Integrated radio buttons for selecting different time ranges. - Enhanced chart rendering with Chart.js. refactor: Create useSQLiteDatabase hook for data fetching - Developed custom hook to manage fetching categories, KPIs, and measurements. - Improved error handling and loading states for better user feedback. style: Add CSS styles for modals and charts - Created styles for ChartModal, ExportModal, and RangeChartModal. - Ensured responsive design for various screen sizes.
49 lines
1.2 KiB
Markdown
49 lines
1.2 KiB
Markdown
# Instructions de configuration
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## 1. Créer la base de données SQLite
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Exécute le script Python pour peupler la base de données sur 1 an:
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```bash
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cd /home/paul/PFEE/dashboard-sqdc
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python3 database/populate_db.py
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```
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Cela va créer `database/sqdc.db` avec:
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- ✅ Toutes les catégories
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- ✅ Les 21 KPIs avec leurs fréquences
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- ✅ 1 an de mesures (365 jours minimum)
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## 2. Installer les dépendances Node
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```bash
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npm install express sqlite3 sqlite cors
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npm install -D @types/express @types/node
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```
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## 3. Lancer le serveur
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```bash
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npm run server
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```
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## 4. Configurer React
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Le dashboard React se connectera à `http://localhost:3001/api`
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## Fréquences des mesures:
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- **per_10min**: Toutes les 10 minutes (qualité, délais)
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- **per_30min**: Toutes les 30 minutes (rendement)
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- **hourly**: Toutes les heures (délais, coûts)
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- **daily**: Quotidiennement (sécurité, coûts, maintenance)
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- **weekly**: Hebdomadairement (audits, maintenance)
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- **per_3days**: Tous les 3 jours (maintenance)
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## Base de données
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La structure SQLite est logique:
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- Chaque mesure a une date précise
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- Les KPI ont une fréquence définie
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- Les mesures sont filtrables par plage de temps
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