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a0a891e550
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- Added support for section guidance notes and titles in the planning target profile, enabling richer context for exercise suggestions. - Introduced deterministic text-to-catalog signal mapping, allowing for improved integration of planning text signals into the exercise retrieval process. - Implemented a partner-related filter in exercise retrieval, enhancing the relevance of suggested exercises based on user intent. - Updated the retrieval phase to account for text signals, improving the accuracy of exercise recommendations. - Incremented version to 0.8.181 and updated changelog to reflect these significant enhancements in planning AI capabilities.
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
"""Tests Phase B: Text-Signale für PlanningTargetProfile."""
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from planning_exercise_text_signals import resolve_planning_text_to_catalog_weights
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def test_resolve_planning_text_matches_skill_and_partner_hint():
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class _Cur:
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def execute(self, sql, params=None):
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self._sql = sql
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def fetchall(self):
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sql = getattr(self, "_sql", "")
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if "FROM skills" in sql:
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return [
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{"id": 5, "name": "Kime"},
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{"id": 8, "name": "Schnellkraft"},
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{"id": 2, "name": "Ab"},
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]
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if "FROM focus_areas" in sql:
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return [{"id": 10, "name": "Karate Technik"}]
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if "FROM style_directions" in sql:
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return []
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if "FROM training_types" in sql:
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return []
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if "FROM target_groups" in sql:
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return [{"id": 3, "name": "Partnerübung"}]
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return []
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focus, style, tt, tg, skills = resolve_planning_text_to_catalog_weights(
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_Cur(),
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"Abschnitt: Kime vertiefen mit Partnerübung",
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)
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assert skills.get(5, 0) > 0
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assert 8 not in skills
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assert tg.get(3, 0) > 0
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assert not style and not tt
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def test_resolve_planning_text_empty():
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class _Cur:
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def execute(self, sql, params=None):
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pass
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def fetchall(self):
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return []
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focus, style, tt, tg, skills = resolve_planning_text_to_catalog_weights(_Cur(), " ")
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assert not focus and not skills
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