Implements the foundation of the OCR Sprint service: - FastAPI app with /api/v1/health and /api/v1/documents (sync upload) - Pydantic v2 schemas for documents, extraction result, personnel - Pipeline: PDF/image ingest (PyMuPDF), preprocessing (resize, deskew, denoise, optional adaptive threshold), PaddleOCR wrapper, regex-based header extraction (nomor sprint, tanggal, satuan, perihal, dasar), signatory NRP, master-pangkat validation, confidence scoring + routing. - Tests: 61 unit tests covering regex rules, validators, preprocess, ingest, confidence, and API contract (PaddleOCR mocked). - Tooling: pyproject (setuptools), ruff, mypy strict, pytest, pre-commit, Dockerfile, docker-compose, Makefile. - Docs: README + docs/architecture.md (full hybrid stack rationale and 6-phase roadmap). Co-authored-by: adrian kuman firmansah <adriancuman@gmail.com>
24 lines
542 B
YAML
24 lines
542 B
YAML
# Phase 1 MVP compose: API only.
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# Phase 4 will add redis, postgres, minio, and worker services.
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services:
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api:
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build:
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context: .
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dockerfile: Dockerfile
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image: ocr-sprint-service:dev
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container_name: ocr-sprint-api
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ports:
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- "8000:8000"
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environment:
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APP_ENV: local
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APP_LOG_LEVEL: INFO
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OCR_USE_GPU: "false"
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STORAGE_LOCAL_DIR: /app/storage
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volumes:
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- ./storage:/app/storage
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- paddle-models:/home/app/.paddleocr
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restart: unless-stopped
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volumes:
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paddle-models:
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