34da9f4cda
backend-lehrer (11 files): - llm_gateway/routes/schools.py (867 → 5), recording_api.py (848 → 6) - messenger_api.py (840 → 5), print_generator.py (824 → 5) - unit_analytics_api.py (751 → 5), classroom/routes/context.py (726 → 4) - llm_gateway/routes/edu_search_seeds.py (710 → 4) klausur-service (12 files): - ocr_labeling_api.py (845 → 4), metrics_db.py (833 → 4) - legal_corpus_api.py (790 → 4), page_crop.py (758 → 3) - mail/ai_service.py (747 → 4), github_crawler.py (767 → 3) - trocr_service.py (730 → 4), full_compliance_pipeline.py (723 → 4) - dsfa_rag_api.py (715 → 4), ocr_pipeline_auto.py (705 → 4) website (6 pages): - audit-checklist (867 → 8), content (806 → 6) - screen-flow (790 → 4), scraper (789 → 5) - zeugnisse (776 → 5), modules (745 → 4) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
24 lines
807 B
Python
24 lines
807 B
Python
"""
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OCR Pipeline Auto-Mode Orchestrator and Reprocess Endpoints — Barrel Re-export.
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Split into submodules:
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- ocr_pipeline_reprocess.py — POST /sessions/{id}/reprocess
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- ocr_pipeline_auto_steps.py — POST /sessions/{id}/run-auto + VLM helper
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Lizenz: Apache 2.0
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DATENSCHUTZ: Alle Verarbeitung erfolgt lokal.
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"""
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from fastapi import APIRouter
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from ocr_pipeline_reprocess import router as _reprocess_router
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from ocr_pipeline_auto_steps import router as _steps_router
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# Combine both sub-routers into a single router for backwards compatibility.
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# The consumer imports `from ocr_pipeline_auto import router as _auto_router`.
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router = APIRouter(prefix="/api/v1/ocr-pipeline", tags=["ocr-pipeline"])
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router.include_router(_reprocess_router)
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router.include_router(_steps_router)
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__all__ = ["router"]
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