Lars
a19ed02300
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- Incremented version to 0.8.185, reflecting the implementation of Phase C3 features. - Introduced the `POST /api/planning/progression-path-suggest` endpoint for generating exercise progression paths. - Enhanced the ExerciseProgressionGraphPanel with a new ExerciseProgressionPathBuilder for reviewing and saving paths. - Updated changelog to document the new capabilities in planning AI functionality.
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
"""
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POST /api/planning/exercise-suggest — planungsgebundene Übungssuche (Hybrid + Profil + optional LLM-Rerank).
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"""
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from fastapi import APIRouter, Depends
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from db import get_db, get_cursor
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from tenant_context import TenantContext, get_tenant_context
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from planning_exercise_suggest import PlanningExerciseSuggestRequest, suggest_planning_exercises
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from planning_exercise_path_builder import ProgressionPathSuggestRequest, suggest_progression_path
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router = APIRouter(prefix="/api/planning", tags=["planning_exercise_suggest"])
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@router.post("/exercise-suggest")
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def post_planning_exercise_suggest(
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body: PlanningExerciseSuggestRequest,
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tenant: TenantContext = Depends(get_tenant_context),
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):
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with get_db() as conn:
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cur = get_cursor(conn)
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return suggest_planning_exercises(cur, tenant=tenant, body=body)
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@router.post("/progression-path-suggest")
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def post_progression_path_suggest(
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body: ProgressionPathSuggestRequest,
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tenant: TenantContext = Depends(get_tenant_context),
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):
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with get_db() as conn:
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cur = get_cursor(conn)
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return suggest_progression_path(cur, tenant=tenant, body=body)
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