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- Incremented version to 0.8.184, reflecting the implementation of Phase C2 features. - Added support for displaying variant lists and suggested variant names in exercise suggestions. - Enhanced the ExercisePickerModal to allow selection of exercise variants and improved handling of variant IDs. - Updated backend logic to enrich planning hits with variant metadata, ensuring accurate exercise variant selection. - Documented changes in the changelog to highlight the new capabilities in planning AI functionality.
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
"""Tests Phase C2: Varianten-Metadaten in Planungs-Treffern."""
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from planning_exercise_suggest import _enrich_planning_hits_with_variant_meta
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class _Cur:
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def __init__(self, rows):
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self._rows = rows
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self.last_query = ''
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def execute(self, query, params=None):
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self.last_query = query
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self._params = params
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def fetchall(self):
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q = self.last_query
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if 'FROM exercise_variants WHERE id IN' in q:
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return [
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{'id': 7, 'variant_name': 'Leicht'},
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]
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if 'FROM exercise_variants' in q and 'exercise_id IN' in q:
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return [
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{
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'exercise_id': 10,
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'id': 7,
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'variant_name': 'Leicht',
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'sequence_order': 1,
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},
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{
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'exercise_id': 10,
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'id': 8,
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'variant_name': 'Schwer',
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'sequence_order': 2,
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},
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]
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return []
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def test_enrich_planning_hits_with_variant_meta():
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hits = [{'id': 10, 'title': 'Test', 'suggested_variant_id': 7}]
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out = _enrich_planning_hits_with_variant_meta(_Cur([]), hits)
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assert out[0]['suggested_variant_name'] == 'Leicht'
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assert len(out[0]['variants']) == 2
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assert out[0]['variants'][0]['id'] == 7
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