Commit Graph

4 Commits

Author SHA1 Message Date
Marcel
a146a2ec3c feat(ocr): per-sender model registry and /train-sender endpoint
engines/kraken.py:
- Add _SenderModelRegistry with LRU eviction (max configurable via
  OCR_MAX_CACHED_MODELS env var), double-checked locking, invalidate(),
  and path whitelist (/app/models/ only)
- Add _load_sender_model() helper for testability
- extract_page_blocks() and extract_region_text() accept optional
  sender_model_path; route to sender registry when provided

models.py:
- OcrRequest gains senderModelPath: str | None = None field

main.py:
- /ocr and /ocr/stream pass request.senderModelPath to Kraken engine
- New /train-sender endpoint: validates output_model_path, runs ketos
  train with base model as starting point, invalidates sender cache

docker-compose.yml:
- Add OCR_MAX_CACHED_MODELS: "5" to ocr-service environment

test_sender_registry.py:
- 4 tests: cache hit, LRU eviction, invalidate, path traversal guard

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-18 12:30:54 +02:00
Marcel
ee58b63517 feat(ocr): add guided OCR mode using existing annotation regions
When a document has manually drawn annotation boxes, the user can now
enable "Nur annotierte Bereiche" in the OCR trigger panel. The engine
skips layout detection entirely and runs recognition only within the
pre-drawn bounding boxes, preserving manual transcription blocks.

- Python: adds OcrRegion model, extend OcrRequest/OcrBlock; guided
  branch in /ocr/stream groups by page and crops each region
- Engines: add extract_region_text() to both Kraken and Surya
- Java: adds OcrBlockResult.annotationId, OcrClient.OcrRegion,
  TriggerOcrDTO.useExistingAnnotations; OcrAsyncRunner dispatches to
  upsertGuidedBlock when annotationId is present; OcrService threads
  the flag through to runSingleDocument
- TranscriptionService: adds upsertGuidedBlock (creates, updates OCR,
  or preserves MANUAL blocks)
- Frontend: guided OCR toggle in OcrTrigger shown when blocks exist;
  skips destructive-replace confirmation in guided mode

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-13 15:57:54 +02:00
Marcel
838330b405 fix(ocr): use camelCase field names in Pydantic models
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Pydantic v2 Field(alias=...) doesn't work with FastAPI as expected.
The Java client sends camelCase (pdfUrl, scriptType, pageNumber).
Use camelCase field names directly instead of aliases.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-12 23:04:42 +02:00
Marcel
6737bd6db5 feat(ocr): add Python OCR microservice, RestClientOcrClient, Docker Compose
Python microservice (ocr-service/):
- FastAPI app with /ocr and /health endpoints
- Surya engine: transformer-based OCR for typewritten/modern handwriting
- Kraken engine: historical HTR for Kurrent/Suetterlin with
  pure-Python polygon-to-quad approximation (gift wrapping + rotating calipers)
- Eager model loading at startup via lifespan context manager
- PDF download via httpx, page rendering via pypdfium2 at 300 DPI

Java RestClientOcrClient:
- Implements OcrClient + OcrHealthClient interfaces
- Calls Python service via Spring RestClient
- Health check with graceful fallback

Docker Compose:
- New ocr-service container (mem_limit 6g, no host ports)
- Health check with start_period 60s for model loading
- ocr_models volume for Kraken model files
- Backend depends on ocr-service health

Refs #226, #227

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-12 15:26:40 +02:00