"""Getrennte Roadmap- vs. Besetzungs-QS."""
from planning_exercise_path_qa import (
    build_assignment_qa_snapshot,
    build_path_qa_summary,
    compute_assignment_quality_score,
    merge_path_quality_scores,
)


def _empty_steps(n: int):
    return [{"roadmap_major_step_index": i, "exercise_id": None} for i in range(n)]


def test_assignment_quality_all_empty_slots_is_low():
    steps = _empty_steps(5)
    score = compute_assignment_quality_score(steps=steps, off_topic_steps=[], gaps=[])
    assert score <= 0.15


def test_assignment_quality_all_filled_is_high():
    steps = [{"roadmap_major_step_index": i, "exercise_id": i + 1} for i in range(5)]
    score = compute_assignment_quality_score(steps=steps, off_topic_steps=[], gaps=[])
    assert score >= 0.9


def test_build_path_qa_summary_caps_llm_score_when_slots_empty():
    steps = _empty_steps(4)
    summary = build_path_qa_summary(
        gaps=[],
        bridge_inserts=[],
        ai_proposals=[],
        off_topic_steps=[],
        stripped_off_topic=[],
        llm_qa={
            "overall_ok": True,
            "quality_score": 0.88,
            "topic_coverage": "Roadmap deckt Ziel gut ab",
            "issues": [],
            "recommendations": ["Feinschliff Stufe 3"],
        },
        llm_applied=True,
        steps=steps,
    )
    assert summary["roadmap_qa"]["quality_score"] == 0.88
    assert summary["assignment_qa"]["empty_slot_count"] == 4
    assert summary["assignment_qa"]["quality_score"] <= 0.15
    assert summary["quality_score"] <= 0.15
    assert summary["overall_ok"] is False


def test_merge_path_quality_uses_minimum():
    assert merge_path_quality_scores(
        {"quality_score": 0.88},
        {"quality_score": 0.12},
    ) == 0.12


def test_assignment_snapshot_reports_empty_slots():
    snap = build_assignment_qa_snapshot(steps=_empty_steps(3), off_topic_steps=[], gaps=[])
    assert snap["empty_slot_count"] == 3
    assert snap["overall_ok"] is False
    assert any("ohne Übung" in issue for issue in snap["issues"])