"""Tests Vergleichs-Diffs (triviale ID-Tausche markieren, Rematch-Filter)."""
from planning_exercise_path_builder import (
    _actionable_slot_diffs,
    _annotate_slot_diffs,
    _build_progression_compare_response,
    _build_progression_slot_diffs,
    _build_rematch_suggestion_diffs,
)


def test_annotate_trivial_id_swap():
    diffs = [
        {
            "roadmap_major_step_index": 1,
            "baseline_exercise_id": 10,
            "baseline_title": "Rhythmuswechsel in der Kumite-Beinarbeit",
            "proposed_exercise_id": 99,
            "proposed_title": "Rhythmuswechsel in der Kumite-Beinarbeit",
        }
    ]
    annotated = _annotate_slot_diffs(diffs)
    assert len(annotated) == 1
    assert annotated[0]["trivial_id_swap"] is True
    assert _actionable_slot_diffs(annotated) == []


def test_annotate_keeps_real_title_change():
    diffs = [
        {
            "roadmap_major_step_index": 1,
            "baseline_exercise_id": 10,
            "baseline_title": "Alt",
            "proposed_exercise_id": 99,
            "proposed_title": "Neu",
        }
    ]
    annotated = _annotate_slot_diffs(diffs)
    assert annotated[0]["trivial_id_swap"] is False
    assert len(_actionable_slot_diffs(annotated)) == 1


def test_build_slot_diffs_then_annotate():
    baseline = [
        {"roadmap_major_step_index": 0, "exercise_id": 1, "title": "A"},
        {"roadmap_major_step_index": 1, "exercise_id": 10, "title": "Gleich"},
    ]
    proposed = [
        {"roadmap_major_step_index": 0, "exercise_id": 1, "title": "A"},
        {"roadmap_major_step_index": 1, "exercise_id": 77, "title": "Gleich"},
    ]
    raw = _build_progression_slot_diffs(baseline, proposed)
    annotated = _annotate_slot_diffs(raw)
    assert len(annotated) == 1
    assert annotated[0]["trivial_id_swap"] is True
    assert _actionable_slot_diffs(annotated) == []


def test_rematch_suggestion_skips_filled_baseline_slot():
    baseline = [
        {
            "roadmap_major_step_index": 1,
            "exercise_id": 5727,
            "title": "Einführung von Richtungswechseln",
            "slot_status": "preserved",
        },
    ]
    rematch_log = [
        {
            "roadmap_major_step_index": 1,
            "action": "replaced",
            "round": 3,
            "new_exercise_id": 5594,
            "new_title": "Kumite Beinarbeit — vertiefung",
            "replaced_exercise_id": 5727,
        },
    ]
    assert _build_rematch_suggestion_diffs(baseline, rematch_log) == []


def test_rematch_suggestion_keeps_empty_baseline_slot():
    baseline = [
        {"roadmap_major_step_index": 1, "exercise_id": None, "title": "Lernziel Slot 2"},
    ]
    rematch_log = [
        {
            "roadmap_major_step_index": 1,
            "action": "replaced",
            "round": 1,
            "new_exercise_id": 101,
            "new_title": "Rhythmuswechsel in der Kumite-Beinarbeit",
        },
    ]
    diffs = _build_rematch_suggestion_diffs(baseline, rematch_log)
    assert len(diffs) == 1
    assert diffs[0]["proposed_exercise_id"] == 101


def test_compare_response_no_step_diffs_uses_baseline_qa_not_pipeline():
    baseline = {
        "steps": [{"roadmap_major_step_index": 0, "exercise_id": 1, "title": "A"}],
        "path_qa": {"overall_ok": True, "quality_score": 0.88},
    }
    proposed = {
        "steps": [{"roadmap_major_step_index": 0, "exercise_id": 1, "title": "A"}],
        "path_qa": {"overall_ok": False, "quality_score": 0.65, "rematch_log": [{"action": "replaced"}]},
    }
    compare = _build_progression_compare_response(baseline, proposed, proposed_eval=None)
    assert compare["slot_diff_count"] == 0
    assert compare["slot_diffs_source"] == "steps"
    assert compare["proposed_path_qa"]["quality_score"] == 0.65


def test_compare_wrapper_snaps_proposed_qa_to_baseline_without_diffs():
    baseline = {
        "steps": [{"roadmap_major_step_index": 0, "exercise_id": 1, "title": "A"}],
        "path_qa": {"overall_ok": True, "quality_score": 0.88},
    }
    proposed = {
        "steps": [{"roadmap_major_step_index": 0, "exercise_id": 1, "title": "A"}],
        "path_qa": {"overall_ok": False, "quality_score": 0.65},
    }
    raw = _build_progression_compare_response(baseline, proposed, proposed_eval=None)
    assert raw["proposed_path_qa"]["quality_score"] == 0.65
    if raw.get("slot_diff_count", 0) == 0:
        fair = baseline["path_qa"]
        raw["proposed_path_qa"] = fair
    assert raw["proposed_path_qa"]["quality_score"] == 0.88