Marius Mutu
495790411f
Add docTR as primary OCR engine with 2-tier sequential processing, OCR metrics tracking, and simplified engine selection. Features: - docTR OCR engine with light+medium preprocessing tiers - doctr_plus mode with early exit optimization (~65% fast path) - OCR metrics dashboard with per-engine statistics - User OCR preference persistence - Parallel worker pool for OCR processing - Cross-validation for extraction quality Engine options: tesseract, doctr, doctr_plus (recommended), paddleocr 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
"""Data Entry module router factory."""
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from fastapi import APIRouter
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def create_data_entry_router() -> APIRouter:
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"""
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Create and configure Data Entry module router.
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Includes all data entry endpoints:
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- /receipts - Receipt CRUD and workflow
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- /ocr - OCR processing for receipts
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- /nomenclature - Nomenclature syncing from Oracle
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- /settings - User settings (OCR preferences)
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- /metrics - OCR analytics and metrics
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Returns:
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APIRouter: Configured router for data entry module
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"""
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router = APIRouter()
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# Import routers here to avoid circular imports
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from .receipts import router as receipts_router
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from .ocr import router as ocr_router
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from .nomenclature import router as nomenclature_router
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from .ocr_settings import router as ocr_settings_router
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# Include all sub-routers (no prefix - already prefixed in main.py with /api/data-entry)
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router.include_router(receipts_router, prefix="/receipts", tags=["data-entry-receipts"])
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router.include_router(ocr_router, prefix="/ocr", tags=["data-entry-ocr"])
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router.include_router(nomenclature_router, prefix="/nomenclature", tags=["data-entry-nomenclature"])
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# OCR settings and metrics (endpoints at /settings/* and /metrics/*)
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router.include_router(ocr_settings_router, tags=["data-entry-settings"])
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return router
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