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>
26 lines
799 B
Python
26 lines
799 B
Python
"""
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Breakpilot Drive - Unit Analytics API — Barrel Re-export.
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Erweiterte Analytics fuer Lernfortschritt:
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- Pre/Post Gain Visualisierung
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- Misconception-Tracking
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- Stop-Level Analytics
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- Aggregierte Klassen-Statistiken
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- Export-Funktionen
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Split into:
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- unit_analytics_models.py: Pydantic models & enums
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- unit_analytics_helpers.py: Database access & computation helpers
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- unit_analytics_routes.py: Core analytics endpoint handlers
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- unit_analytics_export.py: Export & dashboard endpoints
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"""
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from fastapi import APIRouter
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from unit_analytics_routes import router as _routes_router
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from unit_analytics_export import router as _export_router
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router = APIRouter(prefix="/api/analytics", tags=["Unit Analytics"])
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router.include_router(_routes_router)
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router.include_router(_export_router)
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