- Implement strict HTTP 200 validation (reject all other status codes)
- Add content-type validation (must be image/*)
- Add 10-second timeout protection with AbortController
- Thread progressCallback through all fetchImageAsBase64 calls
- Add detailed logging for each validation failure scenario
- Report validation failures via SSE progress callbacks
Unit tests:
- Add comprehensive test coverage for all validation scenarios
- Test HTTP status codes (200, 404, 403, 500, etc.)
- Test content-type validation (image/* vs text/html, etc.)
- Test timeout behavior with AbortController
- Test error handling (network errors, DNS, SSL, etc.)
- Test progress callback reporting
Integration tests:
- Add tests for complete extraction flow with URL failures
- Test fallback chain behavior (meta tags → poster → Instagram data → screenshot)
- Test real-world scenarios (redirects, query params, different post types)
Documentation:
- Enhanced JSDoc with validation criteria
- Added examples showing fallback behavior
- Documented all failure scenarios and their handling
All tests passing ✅
- Remove unreliable URL pass-through strategy (image_url field)
- Always download and upload images as File objects
- Get MIME type from HTTP response headers for URLs
- Use File constructor (not just Blob) for proper multipart metadata
- Add comprehensive error logging with headers and file metadata
- Simplify to single reliable upload path
Fixes 400 'Upload a valid image' error caused by Blob not providing
proper filename/MIME metadata in multipart form data.
User's Tandoor instance uses Bearer token authentication (likely JWT)
rather than Django REST Framework's Token authentication.
Reverts authentication from 'Token' back to 'Bearer' to fix 403 error:
'Authentication credentials were not provided.'
- Fixed authentication from Bearer to Token (DRF TokenAuth)
- Implemented smart 3-strategy upload system
- Added comprehensive error handling and logging
- Enhanced documentation for thumbnail formats
Resolves 400 Bad Request errors on image upload.
All thumbnail extraction methods now upload successfully.
- Fix authentication header from 'Bearer' to 'Token' (DRF TokenAuth)
- Implement three-strategy upload system:
1. URL pass-through for direct URLs (most efficient)
2. Base64 data URL conversion for screenshots
3. Fallback blob upload for any other format
- Add comprehensive error handling with response details
- Add detailed logging for debugging upload strategies
- Document thumbnail formats in extractThumbnailStealth()
Fixes#30 - Tandoor image upload 400 Bad Request error
Based on Tandoor source code analysis (cookbook/views/api.py):
- RecipeImageSerializer accepts 'image_url' field for server-side download
- Uses Token authentication, not Bearer
- Supports multipart file upload with proper MIME types
- Update RECIPE_EXTRACTION_PROMPT to v2.1
- Remove instruction to number steps sequentially
- Update OUTPUT FORMAT and both few-shot examples
- Remove 'All steps numbered sequentially' from quality checklist
- Update fallback parser system prompt in parseRecipeWithStandardCompletion
- Frontend <ol> element already handles auto-numbering
- Tandoor integration unaffected (uses array index for step numbers)
Fixes double-numbering bug where steps appeared as '1. 1. Step text'
All 34 tests passing
Implementation follows execution plan in docs/plans/RemoveStepNumberPrefixes.md
Documented in docs/outcomes/RemoveStepNumberPrefixes.md
- Add progressCallback parameter to extractFromEmbeddedJSON and extractFromDOM
- Pass onProgress callback from extractWithStrategies to all strategies
- Fix legacy strategy to use correct callback variable name
- Verify extractViaGraphQL correctly returns null thumbnail
This fixes ReferenceError that was preventing all extraction methods from working.
All extraction strategies now properly emit thumbnail progress events via SSE.
Closes: FixProgressCallbackUndefinedErrors
- Fix critical await bug in extract-stream endpoint
- Add comprehensive logging to LLM and parser modules
- Implement fallback to standard completion for incompatible models
- Create enhanced v2.0 prompts with social media handling and few-shot examples
- Add LLM health check endpoint
- Decompose share page into 6 focused Svelte 5 snippets
Resolves LM Studio integration issues and improves code maintainability
