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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.
26 lines
864 B
Python
26 lines
864 B
Python
"""Tests Planungs-KI Phase C3 — Pfad-Vorschläge."""
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from planning_exercise_path_builder import _pick_next_path_hit, _hit_to_path_step
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def test_pick_next_path_hit_skips_used():
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hits = [{"id": 1, "title": "A"}, {"id": 2, "title": "B"}, {"id": 3, "title": "C"}]
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assert _pick_next_path_hit(hits, {1})["id"] == 2
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assert _pick_next_path_hit(hits, {1, 2, 3}) is None
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def test_hit_to_path_step_maps_variant():
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step = _hit_to_path_step(
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{
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"id": 10,
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"title": "Test",
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"score": 0.8,
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"reasons": ["Graph"],
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"suggested_variant_id": 7,
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"suggested_variant_name": "Leicht",
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"variants": [{"id": 7, "variant_name": "Leicht"}],
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}
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)
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assert step["exercise_id"] == 10
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assert step["variant_id"] == 7
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assert step["suggested_variant_name"] == "Leicht"
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