Files
Autoparts-DB/dashboard
consultoria-as 042acd6207 OPCIÓN C + A1: Consolidación técnica + orjson
C1: Materialized view part_vehicle_preview (creación en progreso)
- Migración v3.3_materialized_view.sql
- catalog_service.py y dashboard/server.py ahora usan la MV
- Script refresh_part_vehicle_preview.py + warm_vehicle_cache.py actualizado

C2: Fix cache warming script (autónomo)
- Auto-re-ejecuta con sudo -u postgres si peer auth falla
- Args CLI: --dsn, --batch-size, --ttl, --dry-run

C3: CSS dinámico residual extraído
- sidebar.js → sidebar.css (nuevo)
- pos-utils.js → common.css (nuevo)
- Links agregados a 14 templates POS

C4: Script de load testing básico
- scripts/load_test.py: métricas p50/p95/p99, throughput, errores

C5: Documentación actualizada
- FASES_IMPLEMENTADAS.md: test count real, FASE 7 completa
- performance_audit_2026.md: anexo post-FASE 7, métricas actualizadas

A1: Serialización orjson
- pos/json_provider.py: DefaultJSONProvider con orjson.dumps/loads
- Aplicado a POS app y Dashboard server
- Fix indentation error en pos_bp.py

Tests: 73/73 pasando
2026-04-27 09:36:03 +00:00
..
2026-01-19 08:45:03 +00:00

Vehicle Database Dashboard

A web-based dashboard for searching and filtering vehicle data from your database.

Features

  • Filter vehicles by brand, model, year, and engine
  • Responsive web interface with Bootstrap
  • Real-time filtering and search
  • Detailed vehicle information display
  • Modern UI with cards and badges

Prerequisites

  • Python 3.x
  • Flask (installed via sudo apt-get install python3-flask)
  • SQLite database with vehicle data (created in the vehicle_database directory)

Setup

  1. Make sure you have the vehicle database created in the ../vehicle_database/vehicle_database.db path
  2. Install Flask: sudo apt-get install python3-flask
  3. Run the dashboard server: python3 server.py

Usage

  1. Start the server:

    cd dashboard
    python3 server.py
    
  2. Open your web browser and navigate to http://localhost:5000

  3. Use the filters on the left panel to search for vehicles:

    • Select a brand from the dropdown
    • Select a model (based on the selected brand)
    • Select a year
    • Select an engine type
    • Click "Search Vehicles" to apply filters
  4. The results will appear in the right panel with detailed information

API Endpoints

The dashboard uses the following API endpoints:

  • GET /api/brands - Get all vehicle brands
  • GET /api/models?brand=[brand] - Get models for a specific brand
  • GET /api/years - Get all years
  • GET /api/engines - Get all engines
  • GET /api/vehicles?[filters] - Search vehicles with optional filters

File Structure

dashboard/
├── index.html          # Main dashboard page
├── dashboard.js        # Frontend JavaScript
├── server.py           # Flask backend
├── requirements.txt    # Python dependencies
├── start_dashboard.sh  # Startup script
└── README.md           # This file

Customization

You can customize the dashboard by:

  • Modifying the CSS styles in index.html
  • Adding more filters in the JavaScript
  • Changing the layout in index.html
  • Adding more vehicle details in the display

Troubleshooting

  • If the server won't start, make sure the vehicle database exists
  • If filters don't populate, check that the database has data
  • If the page doesn't load, verify that Flask is installed correctly