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- Added `planning_context` to the `suggestExerciseAi` endpoint, enabling structured planning context for new exercise creation. - Updated relevant components and backend logic to handle the new planning context, enhancing the AI's exercise suggestion capabilities. - Incremented application version to 0.8.208 to reflect these changes.
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
"""Tests Planungs-KI Phase D — planning_context für suggestExerciseAi."""
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from planning_exercise_form_context import (
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build_progression_path_gap_planning_context,
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planning_context_prompt_variables,
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sanitize_planning_context_for_ai,
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)
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def test_planning_context_prompt_variables_empty():
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vars_ = planning_context_prompt_variables(None)
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assert vars_["planning_context_json"] == "-"
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assert vars_["has_planning_context"] == ""
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def test_planning_context_prompt_variables_with_data():
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vars_ = planning_context_prompt_variables({"source": "test", "goal_query": "Mae Geri"})
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assert vars_["has_planning_context"] == "true"
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assert "Mae Geri" in vars_["planning_context_json"]
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def test_build_progression_path_gap_context():
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ctx = build_progression_path_gap_planning_context(
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goal_query="Mae Geri Perfektion",
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primary_topic="Mae Geri",
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progression_graph_id=3,
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offer={
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"source": "roadmap_unfilled",
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"phase": "vertiefung",
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"title_hint": "Koordination Mae Geri",
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"roadmap_major_step_index": 2,
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"from_title": "Schritt A",
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"to_title": "Schritt B",
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},
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neighbor_before={"title": "Schritt A"},
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neighbor_after={"title": "Schritt B"},
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path_step_count=4,
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major_step_count=5,
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)
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assert ctx["source"] == "progression_path_gap_fill"
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assert ctx["roadmap_major_step_index"] == 2
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assert ctx["neighbor_before_title"] == "Schritt A"
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def test_sanitize_truncates_long_strings():
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ctx = sanitize_planning_context_for_ai({"goal_query": "x" * 900})
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assert len(ctx["goal_query"]) <= 800
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