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- Added new planning AI functionality with the introduction of the `suggestPlanningExercises` API endpoint for context-based exercise suggestions. - Enhanced `ExercisePickerModal` to utilize planning context, allowing for a more tailored exercise selection experience. - Updated `TrainingUnitEditPage` to pass planning context to the exercise picker, improving integration with the new planning features. - Incremented application version to 0.8.167 and updated changelog to reflect the new planning AI capabilities and related enhancements.
21 lines
719 B
Python
21 lines
719 B
Python
"""
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POST /api/planning/exercise-suggest — planungsgebundene Übungssuche (P0 Hybrid-Retrieval).
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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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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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