Backend:
- Add ai_provider + ai_model columns to APIClient model
- New admin_ai router: GET /admin/api/ai/status + POST /admin/api/ai/test
- Update ai_vision.py: provider_override + model_override support
- Update pipeline: load client AI prefs for image processing
- ClientUpdate/ClientResponse schemas include ai_provider/ai_model
Frontend:
- New AIConfigSection component: provider list, model dropdowns,
test button with live results (no page refresh needed)
- AI types (ai.types.ts) + API (api/ai.ts)
- APIClient types extended with ai_provider/ai_model
Permet au dashboard imagod-web de modifier les tags AI d'une image
via PUT /api/v1/images/{id}/tags avec body {"tags": ["tag1", "tag2"]}.
Scope requis : images:write
- Add .env.backup with full application configuration template
- Create RequestIDMiddleware for trace ID injection in logs
- Implement ARQ fallback pool for Redis unavailability
- Add Dead Letter Queue module for failed job handling
- Include project ROADMAP with audit and 27 applied corrections
- Add Grafana monitoring dashboard with 10 panels
Introduce an admin portal (React + Nginx), WebSocket routing, and
API versioning middleware with `/api/v1/` prefix deprecation.
Add master API key authentication, new Prometheus metrics for AI
token consumption and active WebSockets, and extend S3 config
with a public endpoint URL. Update test paths and fixtures to
align with the new routing structure.
- Implement tests for database generator to ensure proper session handling.
- Create tests for EXIF extraction and conversion functions.
- Add tests for image-related endpoints, ensuring proper data retrieval and isolation between clients.
- Develop tests for OCR functionality, including language detection and text extraction.
- Introduce tests for the image processing pipeline, covering success and failure scenarios.
- Validate rate limiting functionality and ensure independent counters for different clients.
- Implement scraper tests to verify HTML content fetching and error handling.
- Add unit tests for various services, including storage and filename generation.
- Establish worker entry point for ARQ to handle background image processing tasks.
bruno