shinkan-jinkendo/backend/tests/test_planning_exercise_form_context.py
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Update Dockerfile and requirements for improved dependency management
- Added `tzdata` installation in the Dockerfile to support time zone handling in Linux environments.
- Increased `PIP_DEFAULT_TIMEOUT` and added retry logic for pip installations to enhance reliability during dependency installation.
- Updated `requirements.txt` to conditionally include `tzdata` for Windows platforms, ensuring compatibility across different operating systems.
2026-06-11 11:48:25 +02:00

135 lines
5.1 KiB
Python

"""Tests Planungs-KI Phase D — planning_context für suggestExerciseAi."""
from planning_exercise_form_context import (
build_progression_entry_state,
build_progression_gap_snapshot,
build_progression_path_gap_planning_context,
enrich_gap_snapshot_with_entry_state,
planning_context_prompt_variables,
sanitize_planning_context_for_ai,
)
def test_planning_context_prompt_variables_empty():
vars_ = planning_context_prompt_variables(None)
assert vars_["planning_context_json"] == "-"
assert vars_["has_planning_context"] == ""
def test_planning_context_prompt_variables_with_data():
vars_ = planning_context_prompt_variables({"source": "test", "goal_query": "Mae Geri"})
assert vars_["has_planning_context"] == "true"
assert "Mae Geri" in vars_["planning_context_json"]
def test_build_progression_path_gap_context():
ctx = build_progression_path_gap_planning_context(
goal_query="Mae Geri Perfektion",
primary_topic="Mae Geri",
progression_graph_id=3,
offer={
"source": "roadmap_unfilled",
"phase": "vertiefung",
"title_hint": "Koordination Mae Geri",
"roadmap_major_step_index": 2,
"from_title": "Schritt A",
"to_title": "Schritt B",
},
neighbor_before={"title": "Schritt A"},
neighbor_after={"title": "Schritt B"},
path_step_count=4,
major_step_count=5,
)
assert ctx["source"] == "progression_path_gap_fill"
assert ctx["roadmap_major_step_index"] == 2
assert ctx["neighbor_before_title"] == "Schritt A"
def test_sanitize_truncates_long_strings():
ctx = sanitize_planning_context_for_ai({"goal_query": "x" * 900})
assert len(ctx["goal_query"]) <= 800
def test_build_progression_gap_snapshot_includes_start_target_and_stage():
snap = build_progression_gap_snapshot(
goal_analysis={
"primary_topic": "Kumite Beinarbeit",
"start_assumption": "gleichförmige Steppbewegung",
"target_state": "explosiver Angriff mit Ausweichen",
"success_criteria": ["nachvollziehbarer Übergang"],
},
resolved_structured={"roadmap_notes": "Kindergruppe"},
stage_spec={
"learning_goal": "variable Rhythmen",
"load_profile": ["timing", "distanz"],
"success_criteria": ["Reaktion unter Druck"],
"anti_patterns": ["statisches Stehen"],
},
semantic_brief={"must_phrases": ["Beinarbeit"], "development_arc": ["grundlage", "anwendung"]},
)
assert snap["start_situation"] == "gleichförmige Steppbewegung"
assert snap["stage_learning_goal"] == "variable Rhythmen"
assert "timing" in snap["stage_load_profile"]
assert snap["roadmap_notes"] == "Kindergruppe"
def test_gap_planning_context_carries_snapshot_fields():
ctx = build_progression_path_gap_planning_context(
goal_query="Kumite Beinarbeit",
goal_analysis={"start_assumption": "Start", "target_state": "Ziel"},
stage_spec={"learning_goal": "Stufenziel", "load_profile": ["koordination"]},
)
assert ctx["start_situation"] == "Start"
assert ctx["stage_learning_goal"] == "Stufenziel"
def test_build_progression_entry_state_from_prior_steps():
entry = build_progression_entry_state(
major_step_index=2,
prior_steps=[
{
"roadmap_major_step_index": 0,
"title": "Schritt-Stand",
"roadmap_phase": "einstieg",
"success_criteria": ["stabile Grundstellung"],
},
{
"roadmap_major_step_index": 1,
"title": "Mawashi Vorbereitung",
"roadmap_target_state": "Hüfte dreht vor dem Knie",
"roadmap_phase": "grundlage",
},
],
start_situation="Anfänger ohne Kumite-Erfahrung",
current_stage_start="Hüfte dreht vor dem Knie, sicherer Stand",
)
assert entry["entry_state"] == "Hüfte dreht vor dem Knie, sicherer Stand"
assert "Mawashi Vorbereitung" in entry["entry_state_detail"]
assert "stabile Grundstellung" in entry["prior_achievements"][0]
def test_enrich_gap_snapshot_with_entry_state():
snap = enrich_gap_snapshot_with_entry_state(
{"start_situation": "Basis", "stage_learning_goal": "Rhythmen"},
steps=[
{
"roadmap_major_step_index": 0,
"title": "A",
"success_criteria": ["Timing erkannt"],
}
],
major_step_index=1,
)
assert snap["entry_state"] == "Timing erkannt"
assert snap["prior_steps"][0]["title"] == "A"
def test_gap_planning_context_trainer_supplements_and_stage_override():
ctx = build_progression_path_gap_planning_context(
goal_query="Kumite",
stage_spec={"learning_goal": "Original"},
stage_learning_goal_override="Angepasstes Stufenziel",
gap_trainer_supplements="Nur Partnerübung, Kindergruppe",
)
assert ctx["stage_learning_goal"] == "Angepasstes Stufenziel"
assert ctx["gap_trainer_supplements"] == "Nur Partnerübung, Kindergruppe"