feat: add core OCR API integration (refs #65)
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OCR Service (Python/FastAPI):
- POST /extract for synchronous OCR extraction
- POST /jobs and GET /jobs/{job_id} for async processing
- Image preprocessing (deskew, denoise) for accuracy
- HEIC conversion via pillow-heif
- Redis job queue for async processing
Backend (Fastify):
- POST /api/ocr/extract - authenticated proxy to OCR
- POST /api/ocr/jobs - async job submission
- GET /api/ocr/jobs/:jobId - job polling
- Multipart file upload handling
- JWT authentication required
File size limits: 10MB sync, 200MB async
Processing time target: <3 seconds for typical photos
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -173,8 +173,14 @@ services:
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restart: unless-stopped
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environment:
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LOG_LEVEL: info
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REDIS_HOST: mvp-redis
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REDIS_PORT: 6379
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REDIS_DB: 1
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networks:
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- backend
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- database
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depends_on:
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- mvp-redis
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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