b4613e26f3
backend-lehrer (10 files): - game/database.py (785 → 5), correction_api.py (683 → 4) - classroom_engine/antizipation.py (676 → 5) - llm_gateway schools/edu_search already done in prior batch klausur-service (12 files): - orientation_crop_api.py (694 → 5), pdf_export.py (677 → 4) - zeugnis_crawler.py (676 → 5), grid_editor_api.py (671 → 5) - eh_templates.py (658 → 5), mail/api.py (651 → 5) - qdrant_service.py (638 → 5), training_api.py (625 → 4) website (6 pages): - middleware (696 → 8), mail (733 → 6), consent (628 → 8) - compliance/risks (622 → 5), export (502 → 5), brandbook (629 → 7) studio-v2 (3 components): - B2BMigrationWizard (848 → 3), CleanupPanel (765 → 2) - dashboard-experimental (739 → 2) admin-lehrer (4 files): - uebersetzungen (769 → 4), manager (670 → 2) - ChunkBrowserQA (675 → 6), dsfa/page (674 → 5) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
32 lines
727 B
Python
32 lines
727 B
Python
"""
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Training API — barrel re-export.
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The actual code lives in:
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- training_models.py (enums, Pydantic models, in-memory state)
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- training_simulation.py (simulate_training_progress, SSE generators)
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- training_routes.py (FastAPI router + all endpoints)
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"""
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# Models & enums
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from training_models import ( # noqa: F401
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TrainingStatus,
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ModelType,
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TrainingConfig,
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TrainingMetrics,
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TrainingJob,
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ModelVersion,
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DatasetStats,
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TrainingState,
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_state,
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)
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# Simulation helpers
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from training_simulation import ( # noqa: F401
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simulate_training_progress,
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training_metrics_generator,
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batch_ocr_progress_generator,
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)
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# Router
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from training_routes import router # noqa: F401
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