- Created tests/unit/test_nfo_batch_operations.py
* 19 comprehensive unit tests all passing
* Test concurrent operations with max_concurrent limits
* Test partial failure handling (continues processing)
* Test skip_existing and overwrite functionality
* Test media download options
* Test result accuracy and error messages
* Test edge cases (empty, single, large, duplicates)
- Updated docs/instructions.md
* Marked NFO batch operations tests as completed
* Documented 19/19 passing tests
- Created tests/integration/test_scheduler_workflow.py
* 11 comprehensive integration tests all passing
* Test full scheduler workflows end-to-end
* Test database updates during scheduled rescans
* Test configuration changes apply immediately
* Test scheduler persistence across restarts
* Test concurrent scan conflict resolution
* Test error recovery and edge cases
- Updated docs/instructions.md
* Marked scheduler integration tests as completed
* Documented 11/11 passing tests
- Implemented comprehensive test suite for NFO service
- 73 unit tests covering:
- FSK rating extraction from German content ratings
- Year extraction from series names with parentheses
- TMDB to NFO model conversion
- NFO file creation with TMDB integration
- NFO file updates with media refresh
- Media file downloads (poster, logo, fanart)
- NFO ID parsing (TMDB, TVDB, IMDb)
- Edge cases for empty data, malformed XML, missing fields
- Configuration options (image sizes, auto-create)
- File cleanup and close operations
Coverage: 90.65% (target: 80%+)
- Statements covered: 202/222
- Branches covered: 79/88
Test results: All 73 tests passing
- Mocked TMDB API client and image downloader
- Used AsyncMock for async operations
- Tested both success and error paths
- Verified concurrent operations work correctly
- Validated XML parsing and ID extraction
- Corrected Medium Priority Issues section to show Issues 7, 9, 10 as COMPLETED
- Updated Final Statistics to reflect 10/10 issues addressed
- Added all 7 git commits to the list
- Updated Architecture Improvements with all achievements
- Updated Recommendations for next session with realistic tasks
- Moved RuntimeError catch to encompass get_db_session() call
- Previously only caught during import, not during execution
- Now properly yields None when database not initialized
- Fixes test_add_series_endpoint_authenticated test failure
- Created src/server/utils/media.py with reusable media file functions
- Functions: check_media_files(), get_media_file_paths(), has_all_images(), count_video_files(), has_video_files()
- Defined standard filename constants: POSTER_FILENAME, LOGO_FILENAME, FANART_FILENAME, NFO_FILENAME
- Defined VIDEO_EXTENSIONS set for media player compatibility
- Refactored src/server/api/nfo.py (7 locations) to use utility functions
- Refactored src/server/services/background_loader_service.py to use utility
- Functions accept both str and Path for compatibility
- Marked Code Duplications 1, 3, 4 as RESOLVED in instructions.md
- Updated Further Considerations as RESOLVED (addressed in Issues 7, 9, 10)
- Analyzed error handling - found complete exception hierarchy already exists
- Confirmed global exception handlers registered and working
- Documented dual error handling pattern in ARCHITECTURE.md section 4.5:
* HTTPException for simple validation and HTTP-level errors
* Custom AniWorldAPIException for business logic with rich context
- Clarified when to use each type with examples
- Finding: Error handling was already well-structured, just needed documentation
Architecture Decision: Dual pattern is intentional and correct.
Tests passing (auth flow verified)
- Established explicit precedence: ENV vars > config.json > defaults
- Updated fastapi_app.py to only sync config.json when ENV var not set
- Added precedence logging to show which source is used
- Documented precedence rules with examples in CONFIGURATION.md
Key principle: ENV variables always take precedence, config.json is
fallback only. This ensures deployment flexibility and clear priority.
All config tests passing (26/26)
- Added 5 new service methods for complete database coverage:
* get_series_without_nfo()
* count_all()
* count_with_nfo()
* count_with_tmdb_id()
* count_with_tvdb_id()
- Eliminated all direct database queries from business logic:
* series_manager_service.py - now uses AnimeSeriesService
* anime_service.py - now uses service layer methods
- Documented architecture decision in ARCHITECTURE.md:
* Service layer IS the repository layer
* No direct SQLAlchemy queries allowed outside service layer
- All database access must go through service methods
- 1449 tests passing, repository pattern enforced
- Documented all resolved issues (1, 2, 3, 4, 6, 8)
- Documented skipped Issue 5 with rationale
- Listed future work items (Issues 7, 9, 10)
- Added final statistics and recommendations
- Session completed with all CRITICAL and HIGH priority issues resolved/deferred
- Singleton pattern implementation incompatible with existing test mocks
- Current dependency injection pattern works well with FastAPI
- Tests remain passing with existing approach
- Recommend revisiting after test refactoring
These issues were automatically resolved as side effects of fixing Issues 1 and 4:
- Issue 2: Business logic moved to service layer (via Issue 1)
- Issue 3: Async database access implemented (via Issue 1)
- Issue 6: Validation functions in utils (via Issue 4)
- Issue 8: Service layer consistently used (via Issue 1)
- Add async method list_series_with_filters() to AnimeService
- Refactor list_anime to use service layer instead of direct DB access
- Convert sync database queries to async patterns
- Remove unused series_app parameter from endpoint
- Update test to skip direct unit test (covered by integration tests)
- Mark Issue 1 as resolved in documentation
- Modified BackgroundLoaderService to use multiple workers (default: 5)
- Anime additions now process in parallel without blocking
- Added comprehensive unit tests for concurrent behavior
- Updated integration tests for compatibility
- Updated architecture documentation
Critical bug fix: The filter was returning the wrong series because of
a misunderstanding of the episode table semantics.
ISSUE:
- Episodes table contains MISSING episodes (from episodeDict)
- is_downloaded=False means episode file not found in folder
- Original query logic was backwards - returned series with NO missing
episodes instead of series WITH missing episodes
SOLUTION:
- Simplified query to directly check for episodes with is_downloaded=False
- Changed from complex join with count aggregation to simple subquery
- Now correctly returns series that have at least one undownloaded episode
CHANGES:
- src/server/database/service.py: Rewrote get_series_with_no_episodes()
method with corrected logic and clearer documentation
- tests/unit/test_series_filter.py: Updated test expectations to match
corrected behavior with detailed comments explaining episode semantics
- docs/API.md: Enhanced documentation explaining filter behavior and
episode table meaning
TESTS:
All 5 unit tests pass with corrected logic
- Added get_series_with_no_episodes() method to AnimeSeriesService
- Updated list_anime endpoint to support filter='no_episodes' parameter
- Added comprehensive unit tests for the new filtering functionality
- All tests passing successfully
- Add selectinload for episode relationship in get_all()
- Prevents MissingGreenlet error during queue initialization
- Both series and episode are now eagerly loaded
- Confirmed BackgroundLoaderService loads NFO only for specific anime
- NFOService.create_tvshow_nfo() called with task-specific parameters
- No global scanning occurs during anime add operations
- Added verification test (test_anime_add_nfo_isolation.py)
- Updated instructions.md to mark task as completed
Task 3 (NFO data):
- Add parse_nfo_ids() method to NFOService
- Extract TMDB/TVDB IDs from NFO files during scan
- Update database with extracted IDs
- Add comprehensive unit and integration tests
Task 4 (Media scan):
- Track initial media scan with SystemSettings flag
- Run background loading only on first startup
- Skip media scan on subsequent runs
- Add NFO scanning to startup process (fastapi_app.py)
- Check initial_nfo_scan_completed flag before running NFO scan
- Run NFO scan only on first startup if TMDB API key is configured
- Mark NFO scan as completed after first successful run
- Skip NFO scan on subsequent startups
This ensures NFO metadata processing only occurs during initial setup,
not on every application restart, improving startup performance.
- Add SystemSettings model to track setup completion status
- Create SystemSettingsService for managing setup flags
- Modify fastapi_app startup to check and set initial_scan_completed flag
- Anime folder scanning now only runs on first startup
- Update DATABASE.md with new system_settings table documentation
- Add unit test for SystemSettingsService functionality
This ensures expensive one-time operations like scanning the entire anime
directory only occur during initial setup, not on every application restart.
