Implement TextualRenderer in console/renderers/textual_renderer.py using
the Rich library for a modern dark-themed TUI with blue/cyan accents.
All 18 BaseRenderer methods are implemented: lifecycle (init_screen,
cleanup), primitives (clear, refresh, get_key, get_size), widgets
(draw_header, draw_footer, draw_menu, draw_table, draw_detail,
draw_form, draw_filter_list, draw_comparison, draw_text, draw_box),
and dialogs (show_message, show_input). Keyboard input uses raw
terminal mode via tty/termios with full escape sequence decoding
for arrow keys, F-keys, Page Up/Down, Home/End.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add the three core modules that all screens depend on:
- keybindings.py: Key constants (curses codes) and KeyBindings registry
- navigation.py: Stack-based screen navigation with breadcrumbs
- screens.py: Screen base class with on_enter/on_key/render lifecycle
Includes 31 tests covering all public APIs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implement console/db.py with Database class providing all data access
methods for the console application, plus 36 passing tests in
console/tests/test_db.py covering vehicle navigation, parts catalog,
search, VIN cache, stats, manufacturers, and admin CRUD operations.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix breadcrumb group name fetch using existing /api/categories/<id>/groups
- Fix diagramModalLabel → diagramModalTitle DOM ID mismatch
- Replace bootstrap.Modal.getInstance() with classList.remove('active') for modal close
- Escape single quotes in brand/model names in breadcrumb onclick handlers
- Implement editAftermarket() form population in admin panel
- Handle VIN decoder response wrapper in landing page
- Fetch models count from API instead of hardcoded '13K+'
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Make brand and model name queries case-insensitive using UPPER()
- Add /api/diagrams/<id>/hotspots endpoint for fetching diagram hotspots
- Add /admin and /landing clean URL routes for HTML pages
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add admin interface (admin.html, admin.js) for managing catalog data
- Add enhanced search module with advanced filtering capabilities
- Expand server.py with new API endpoints and admin functionality
- Add Gonher catalog import scripts (import_gonher_catalog.py, import_gonher_complete.py)
- Add demo data population script and sample CSV data
- Update customer landing page and dashboard with UI improvements
- Update database with enriched vehicle and parts data
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Vehicle cards now display 6 motor data fields:
1. Fuel type (Gasolina/Diésel/Híbrido/Eléctrico)
2. Power (HP)
3. Torque (Nm) - NEW
4. Displacement (formatted as liters, e.g., 3.0L)
5. Cylinders
6. Engine config (V6, I4, etc. - derived from name)
Changes:
- dashboard.js: Added helper functions for formatting
- getEngineConfig(): Extracts V6, I4, H4, etc. from engine name
- formatDisplacement(): Converts cc to liters
- formatFuelType(): Spanish translations
- server.py: Added torque_nm to vehicles API response
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
New script (enrich_engine_data.py):
- Parses engine names to extract displacement, cylinders, fuel type
- Estimates HP and torque based on engine characteristics
- Turbo engines get +35% power estimate
- Handles V6, V8, I4, diesel, electric, hybrid patterns
Results:
- 13,287 engines updated with technical data
- 99% coverage for displacement_cc
- 59% coverage for cylinders
- 99.9% coverage for fuel_type
- 95.7% coverage for power_hp and torque_nm
Example data:
- Chevrolet avg: 4945cc, 337HP, 7.6 cyl
- Toyota avg: 2767cc, 202HP, 6.5 cyl
- BMW avg: 3117cc, 262HP, 8.7 cyl
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Added 108 brands total:
- 90 main brands (international)
- 18 regional brands (Mexico, China, etc.)
Features:
- Interactive menu with multiple options
- Search brand by name
- Select by initial letter
- Process range of brands (e.g., 1-10)
- View all brands status with pagination
- Skip wait time with ENTER
- Years: 1975-2026, 5 years per batch
New brands: Dodge, Honda, Mitsubishi, Jeep, BMW, Fiat,
Hyundai, Infiniti, Kia, Land Rover, Lexus
Features:
- Interactive menu to select brand and batch
- Skip wait time by pressing ENTER
- Years range: 1975-2026
- 5 years per batch with 3 min pause
- Base de datos SQLite con información de vehículos
- Dashboard web con Flask y Bootstrap
- Scripts de web scraping para RockAuto
- Interfaz CLI para consultas
- Documentación completa del proyecto
Incluye:
- 12 marcas de vehículos
- 10,923 modelos
- 10,919 especificaciones de motores
- 12,075 combinaciones modelo-año-motor
