Lars
45e3b5f4f6
All checks were successful
Deploy Development / deploy (push) Successful in 43s
Test Suite / pytest-backend (push) Successful in 43s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 13s
Test Suite / k6 /health Baseline (push) Successful in 34s
Test Suite / playwright-tests (push) Successful in 1m14s
- Introduced the Scenario Pipeline for planning exercises, allowing for more nuanced query handling and exercise suggestions based on user intent. - Enhanced the `suggestPlanningExercises` API to include `include_llm_intent`, `scenario_kind`, and `query_intent_summary`, improving the context provided to the frontend. - Updated the `ExercisePickerModal` to display new information related to query intent and scenario classification, enhancing user experience during exercise selection. - Incremented application version to 0.8.171 and updated changelog to document the new features and improvements in the planning AI capabilities.
72 lines
2.9 KiB
Python
72 lines
2.9 KiB
Python
"""Tests Planungs-Übungssuche: Intent, Szenario-Pipeline, LLM-Parser."""
|
|
from planning_exercise_suggest import resolve_planning_exercise_intent
|
|
from planning_exercise_intent import parse_planning_query_intent_response
|
|
from planning_exercise_llm_rank import parse_planning_exercise_rank_response
|
|
from planning_exercise_target_pipeline import (
|
|
SCENARIO_ADDITIVE,
|
|
SCENARIO_PRESET_NEXT,
|
|
classify_planning_scenario,
|
|
compose_retrieval_phase,
|
|
is_simple_preset_query,
|
|
should_run_llm_intent_pipeline,
|
|
)
|
|
|
|
|
|
def test_resolve_planning_exercise_intent_defaults():
|
|
assert resolve_planning_exercise_intent("", None) == "suggest_next"
|
|
assert resolve_planning_exercise_intent(" ", "suggest_next") == "suggest_next"
|
|
|
|
|
|
def test_resolve_planning_exercise_intent_keywords():
|
|
assert resolve_planning_exercise_intent("Vertiefung Partner", None) == "deepen_exercise"
|
|
assert resolve_planning_exercise_intent("nächste übung", None) == "suggest_next"
|
|
assert resolve_planning_exercise_intent("progression graph", None) == "progression_next"
|
|
|
|
|
|
def test_classify_planning_scenario_preset():
|
|
assert is_simple_preset_query("Schlage mir die nächste Übung vor")
|
|
assert classify_planning_scenario("", "suggest_next") == SCENARIO_PRESET_NEXT
|
|
assert classify_planning_scenario("nächste übung", "suggest_next") == SCENARIO_PRESET_NEXT
|
|
|
|
|
|
def test_classify_planning_scenario_additive():
|
|
q = "Baut auf der Planung auf und trainiert zusätzlich Schnellkraft"
|
|
assert classify_planning_scenario(q, "continue_plan_goal") == SCENARIO_ADDITIVE
|
|
assert should_run_llm_intent_pipeline(q, SCENARIO_ADDITIVE, include_llm_intent=True)
|
|
|
|
|
|
def test_should_skip_llm_for_preset():
|
|
assert not should_run_llm_intent_pipeline("", SCENARIO_PRESET_NEXT, include_llm_intent=True)
|
|
assert not should_run_llm_intent_pipeline(
|
|
"nächste übung",
|
|
SCENARIO_PRESET_NEXT,
|
|
include_llm_intent=True,
|
|
)
|
|
|
|
|
|
def test_compose_retrieval_phase():
|
|
assert compose_retrieval_phase(query_intent=False, llm_rank=False) == "profile_v1"
|
|
assert compose_retrieval_phase(query_intent=True, llm_rank=True) == "profile_v1+query_intent+llm_rank"
|
|
|
|
|
|
def test_parse_planning_query_intent_response():
|
|
parsed = parse_planning_query_intent_response(
|
|
'{"intent":"continue_plan_goal","scenario":"additive_constraint",'
|
|
'"skill_hints":[{"name":"Schnellkraft","weight":1}],"emphasis":"additive",'
|
|
'"rationale":"Zusatz Schnellkraft"}'
|
|
)
|
|
assert parsed.intent == "continue_plan_goal"
|
|
assert parsed.scenario == "additive_constraint"
|
|
assert parsed.skill_hints[0].name == "Schnellkraft"
|
|
|
|
|
|
def test_parse_planning_exercise_rank_response_filters_ids():
|
|
allowed = {10, 20, 30}
|
|
ranked, reasons = parse_planning_exercise_rank_response(
|
|
'{"ranked_ids":[20,999,20,10],"reasons":{"20":"Passt gut","999":"ignore"}}',
|
|
allowed,
|
|
)
|
|
assert ranked == [20, 10]
|
|
assert reasons[20] == "Passt gut"
|
|
assert 999 not in reasons
|