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- Introduced `auto_rematch_after_qa` parameter in `ProgressionPathSuggestRequest` to enable automatic rematching after quality assurance checks. - Refactored roadmap slot matching logic to improve clarity and functionality, renaming `_build_steps_roadmap_first` to `_match_roadmap_slot`. - Added `_with_roadmap_major_index` utility to streamline off-topic step detection by incorporating roadmap major step indices. - Enhanced off-topic detection logic to utilize the new utility for improved clarity in identifying mismatches and exclusions. - Incremented application version to reflect these updates.
134 lines
3.7 KiB
Python
134 lines
3.7 KiB
Python
"""Tests Auto-Rematch nach Pfad-QS (Phase A)."""
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from planning_path_rematch import collect_rematch_slot_indices, rematch_roadmap_slots
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from planning_progression_roadmap import ProgressionRoadmapContext, StageSpecArtifact
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def _stage_specs():
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return [
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StageSpecArtifact(major_step_index=0, learning_goal="Grundlage"),
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StageSpecArtifact(major_step_index=1, learning_goal="Vertiefung"),
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StageSpecArtifact(major_step_index=2, learning_goal="Anwendung"),
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]
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def test_collect_rematch_slot_indices_from_stripped_with_major_index():
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specs = _stage_specs()
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stripped = [
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{
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"step_index": 1,
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"roadmap_major_step_index": 1,
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"issue": "technique_scope",
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"reasons": ["Passt nicht zur Haupttechnik"],
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}
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]
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indices, reasons = collect_rematch_slot_indices(
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stripped_off_topic=stripped,
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off_topic_steps=[],
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optimization_hints=[],
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stage_specs=specs,
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)
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assert indices == {1}
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assert "Haupttechnik" in reasons[1]
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def test_collect_rematch_slot_indices_resolves_step_index_to_major():
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specs = _stage_specs()
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off_topic = [
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{
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"step_index": 2,
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"issue": "stage_mismatch",
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"reasons": ["Ziel passt nicht"],
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}
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]
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indices, reasons = collect_rematch_slot_indices(
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stripped_off_topic=[],
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off_topic_steps=off_topic,
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optimization_hints=[],
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stage_specs=specs,
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)
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assert indices == {2}
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assert reasons[2] == "Ziel passt nicht"
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def test_collect_rematch_slot_indices_from_optimization_hints():
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specs = _stage_specs()
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hints = [
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{
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"action": "rematch_slot",
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"roadmap_major_step_index": 0,
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"reason": "QS-Tier-1",
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}
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]
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indices, _ = collect_rematch_slot_indices(
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stripped_off_topic=[],
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off_topic_steps=[],
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optimization_hints=hints,
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stage_specs=specs,
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)
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assert indices == {0}
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def test_rematch_roadmap_slots_replaces_only_target_slot():
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specs = _stage_specs()
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ctx = ProgressionRoadmapContext(
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goal_query="Mawashi Geri",
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max_steps=3,
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stage_specs=specs,
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)
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steps = [
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{
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"exercise_id": 10,
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"title": "Slot 0 OK",
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"roadmap_major_step_index": 0,
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},
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{
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"exercise_id": 20,
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"title": "Mae Geri falsch",
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"roadmap_major_step_index": 1,
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},
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{
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"exercise_id": 30,
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"title": "Slot 2 OK",
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"roadmap_major_step_index": 2,
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},
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]
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def _fake_match(cur, *, stage_spec, used, **kwargs):
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assert stage_spec.major_step_index == 1
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assert 20 not in used
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assert 10 in used
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return (
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{
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"exercise_id": 21,
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"title": "Sprungkraft Mawashi",
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"roadmap_major_step_index": 1,
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},
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None,
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)
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ordered, log, unfilled = rematch_roadmap_slots(
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None,
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tenant=None,
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body=None,
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goal_query="Mawashi Geri",
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max_steps=3,
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semantic_brief=None,
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path_target_profile=None,
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path_intent="",
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roadmap_ctx=ctx,
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steps=steps,
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slot_indices={1},
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rematch_reasons={1: "technique_scope"},
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match_slot_fn=_fake_match,
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)
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assert len(ordered) == 3
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assert ordered[0]["exercise_id"] == 10
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assert ordered[1]["exercise_id"] == 21
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assert ordered[2]["exercise_id"] == 30
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assert len(log) == 1
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assert log[0]["action"] == "replaced"
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assert log[0]["replaced_exercise_id"] == 20
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assert log[0]["new_exercise_id"] == 21
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assert not unfilled
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