Commit Graph

7 Commits

Author SHA1 Message Date
c3aca9217d fix(episodes): prevent duplicate-row accumulation at schema + write sites
Followup to commit c84f968 (read-boundary dedup) and commit f75d591
(cleanup CLI). The read boundary filters duplicates out of the
in-memory episodeDict and the CLI cleans up historical duplicates
in the DB, but the underlying pathology — duplicate rows being
created in the first place — was still active on every rescan.

Two layered prevention fixes:

1. Schema-level guard: add UNIQUE(series_id, season, episode_number)
   to the episodes table. SQLite's CREATE UNIQUE INDEX requires
   no existing duplicates, but the cleanup CLI from f75d591 has
   already been run (or is a one-shot prerequisite for users on
   older DBs). Future duplicate rows are rejected at the DB layer.

2. Write-site guard: SerieScanner.scan_single_series used to
   `extend` the in-memory episodeDict on every rescan of a
   series already in keyDict — across N rescans, the same missing
   list was appended N times, growing the dict with duplicates that
   then flowed through _update_series_in_db into the episodes
   table. The fix replaces the cache with the latest scan result
   instead of extending, and dedupes within a single call as
   defense in depth against a buggy upstream loader.

Defensive dedup is layered three deep:
  - schema constraint (this commit, primary)
  - scan_single_series replace-not-extend (this commit, secondary)
  - episodeDict property read-boundary dedup (commit c84f968,
    tertiary — covers legacy DBs that predate the constraint)

Tests:
  - Updated test_serie_scanner.test_scan_single_series_existing_entry
    to assert the new replace-not-merge behavior (the old assertion
    encoded the buggy extend behavior).
  - New test_serie_scanner_scan_dedup.py covers the regression
    directly: two rescans of the same series with the same missing
    list must yield a canonical dict, not an accumulated one.
  - test_database_models and test_clean_duplicate_episodes_cli now
    use a legacy_engine fixture that drops the UNIQUE constraint,
    so the duplicate-row scenarios they exercise (the read-boundary
    dedup and the cleanup tool, both meant to defend against
    pre-migration state) can still be tested under the new schema.

Verified manually: clean_duplicate_episodes --apply on the user's
backup DB still removes all 633 duplicate rows under the new
schema (the CLI doesn't depend on the UNIQUE constraint — it
operates on whatever rows already exist).
2026-09-15 20:58:30 +02:00
c84f968916 fix(queue): dedupe episodeDict at read boundary + trust server response
The 'episodes added to download queue never shown' symptom has two
layered causes that masked each other:

1. The 'episodes' table has no UNIQUE constraint on
   (series_id, season, episode_number), so historical scans can leave
   duplicate rows behind. AnimeSeries.episodeDict iterated the
   SQLAlchemy 'episodes' relationship without deduping, so the dict
   exposed duplicate entries to list_missing() and the queue UI.
   The frontend forwarded the duplicated episode list verbatim to
   POST /api/queue/add; the backend's pending-episode dedup then
   rejected every duplicate as 'already pending' and the user saw
   'Skipped 44 duplicate episodes, Added 0'.

2. selection-manager.downloadSelected counted 'episodes.length'
   (the input array) instead of data.added_items.length (the
   server-confirmed count). Combined with the backend returning
   success on an empty add, the user saw a misleading 'Added 44
   episode(s)' toast for an empty queue.

Fix: dedupe at the read boundary. The episodeDict property now
filters duplicate (season, episode_number) pairs from both the
DB-loaded relationship and the legacy _episode_dict_cache path.
Existing duplicate rows in the user's DB are inert — the read
filter makes them invisible to the rest of the stack. The
frontend now trusts the server response, logs a console warning
when an input list shrinks to zero added items, and shows an
accurate toast.

Tests:
- TestEpisodeDictDedup class with 4 regression tests covering:
  * duplicate relationship rows deduped
  * is_downloaded rows still filtered out
  * _episode_dict_cache path also deduped (set by scanners/loaders
    that may store duplicates)
  * dedup is per-(season, ep_num), preserving legitimate
    same-ep-num-across-different-seasons entries

Verified manually against the user's backup DB: 'erased' has 44
duplicate rows in the episodes table; episodeDict now returns
{1: [1..12]} instead of {1: [1,1,2,2,3,3,3,3,...]}, matching the
12-episode canonical list.
2026-09-15 20:46:31 +02:00
d642234814 Complete Task 8: Database Support for NFO Status
- Added 5 NFO tracking fields to AnimeSeries model
- Fields: has_nfo, nfo_created_at, nfo_updated_at, tmdb_id, tvdb_id
- Added 3 service methods to AnimeService for NFO operations
- Methods: update_nfo_status, get_series_without_nfo, get_nfo_statistics
- SQLAlchemy auto-migration (no manual migration needed)
- Backward compatible with existing data
- 15 new tests added (19/19 passing)
- Tests: database models, service methods, integration queries
2026-01-16 18:50:04 +01:00
798461a1ea better db model 2025-12-04 19:22:42 +01:00
17e5a551e1 feat: migrate to Pydantic V2 and implement rate limiting middleware
- Migrate settings.py to Pydantic V2 (SettingsConfigDict, validation_alias)
- Update config models to use @field_validator with @classmethod
- Replace deprecated datetime.utcnow() with datetime.now(timezone.utc)
- Migrate FastAPI app from @app.on_event to lifespan context manager
- Implement comprehensive rate limiting middleware with:
  * Endpoint-specific rate limits (login: 5/min, register: 3/min)
  * IP-based and user-based tracking
  * Authenticated user multiplier (2x limits)
  * Bypass paths for health, docs, static, websocket endpoints
  * Rate limit headers in responses
- Add 13 comprehensive tests for rate limiting (all passing)
- Update instructions.md to mark completed tasks
- Fix asyncio.create_task usage in anime_service.py

All 714 tests passing. No deprecation warnings.
2025-10-23 22:03:15 +02:00
bf4455942b fixed all test issues 2025-10-22 08:30:01 +02:00
ff0d865b7c feat: Implement SQLAlchemy database layer with comprehensive models
Implemented a complete database layer for persistent storage of anime series,
episodes, download queue, and user sessions using SQLAlchemy ORM.

Features:
- 4 SQLAlchemy models: AnimeSeries, Episode, DownloadQueueItem, UserSession
- Automatic timestamp tracking via TimestampMixin
- Foreign key relationships with cascade deletes
- Async and sync database session support
- FastAPI dependency injection integration
- SQLite optimizations (WAL mode, foreign keys)
- Enum types for status and priority fields

Models:
- AnimeSeries: Series metadata with one-to-many relationships
- Episode: Individual episodes linked to series
- DownloadQueueItem: Queue persistence with progress tracking
- UserSession: JWT session storage with expiry and revocation

Database Management:
- Async engine creation with aiosqlite
- Session factory with proper lifecycle
- Connection pooling configuration
- Automatic table creation on initialization

Testing:
- 19 comprehensive unit tests (all passing)
- In-memory SQLite for test isolation
- Relationship and constraint validation
- Query operation testing

Documentation:
- Comprehensive database section in infrastructure.md
- Database package README with examples
- Implementation summary document
- Usage guides and troubleshooting

Dependencies:
- Added: sqlalchemy>=2.0.35 (Python 3.13 compatible)
- Added: alembic==1.13.0 (for future migrations)
- Added: aiosqlite>=0.19.0 (async SQLite driver)

Files:
- src/server/database/__init__.py (package exports)
- src/server/database/base.py (base classes and mixins)
- src/server/database/models.py (ORM models, ~435 lines)
- src/server/database/connection.py (connection management)
- src/server/database/migrations.py (migration placeholder)
- src/server/database/README.md (package documentation)
- tests/unit/test_database_models.py (19 test cases)
- DATABASE_IMPLEMENTATION_SUMMARY.md (implementation summary)

Closes #9 Database Layer implementation task
2025-10-17 20:46:21 +02:00