"""Tests Planungs-KI Phase F — Progressions-Roadmap Pipeline."""
from planning_progression_roadmap import (
    PROMPT_SLUG_GOAL_ANALYSIS,
    PROMPT_SLUG_ROADMAP,
    PROMPT_SLUG_STAGE_SPEC,
    MajorStep,
    StageSpecArtifact,
    build_goal_analysis,
    build_roadmap_unfilled_gap_specs,
    consolidate_micro_to_major,
    develop_micro_objectives,
    progression_roadmap_to_api_dict,
    resolve_step_exercise_kind_filter,
    run_progression_roadmap_pipeline,
    stage_spec_exercise_kind_filter,
    stage_spec_retrieval_query,
)
from planning_exercise_semantics import build_semantic_brief


def test_run_progression_roadmap_pipeline_major_step_count():
    ctx = run_progression_roadmap_pipeline(
        "Von Erlernen bis zur Perfektion des Fußtritts Mae Geri",
        max_steps=5,
    )
    assert ctx.roadmap is not None
    assert len(ctx.roadmap.major_steps) == 5
    assert len(ctx.roadmap.micro_objectives) >= 6
    assert len(ctx.stage_specs) == 5
    assert ctx.goal_analysis is not None
    assert "Mae" in ctx.goal_analysis.primary_topic or "mae" in ctx.goal_analysis.primary_topic.lower()


def test_consolidate_micro_to_major_reduces_count():
    brief = build_semantic_brief("Mae Geri")
    ga = build_goal_analysis("Mae Geri Perfektion", brief)
    micro = develop_micro_objectives(brief, goal_analysis=ga, min_count=8)
    majors, notes = consolidate_micro_to_major(micro, max_steps=5)
    assert len(majors) == 5
    if len(micro) > 5:
        assert notes
    assert all(m.learning_goal for m in majors)


def test_major_steps_have_learning_goals():
    ctx = run_progression_roadmap_pipeline("Mae Geri Grundlagen", max_steps=3)
    for step in ctx.roadmap.major_steps:
        assert step.learning_goal.strip()
        assert step.consolidates


def test_stage_spec_retrieval_query_includes_learning_goal():
    brief = build_semantic_brief("Mae Geri Perfektion")
    spec = StageSpecArtifact(
        major_step_index=1,
        learning_goal="Koordination und Präzision vertiefen",
        load_profile=["präzision"],
        exercise_type="kihon_einzel",
    )
    major = MajorStep(index=1, phase="vertiefung", learning_goal=spec.learning_goal, consolidates=["m3"])
    q = stage_spec_retrieval_query(
        semantic_brief=brief,
        goal_query="Mae Geri Perfektion",
        stage_spec=spec,
        major_step=major,
    )
    assert "vertiefung" in q.lower()
    assert "Koordination" in q or "Präzision" in q


def test_stage_spec_exercise_kind_filter_maps_combination():
    spec = StageSpecArtifact(major_step_index=0, exercise_type="kombination")
    assert stage_spec_exercise_kind_filter(spec) == ["combination"]
    assert resolve_step_exercise_kind_filter(spec, ["simple"]) == ["simple"]


def test_build_roadmap_unfilled_gap_specs():
    brief = build_semantic_brief("Mae Geri")
    spec = StageSpecArtifact(major_step_index=2, learning_goal="Anwendung im Partnerdrill")
    major = MajorStep(index=2, phase="anwendung", learning_goal=spec.learning_goal, consolidates=["m5"])
    specs = build_roadmap_unfilled_gap_specs(
        unfilled_specs=[(2, spec)],
        major_steps_by_index={2: major},
        steps=[{"exercise_id": 1, "title": "A"}, {"exercise_id": 2, "title": "B"}],
        brief=brief,
        goal_query="Mae Geri",
    )
    assert len(specs) == 1
    assert specs[0]["source"] == "roadmap_unfilled"
    assert specs[0]["phase"] == "anwendung"


def test_api_dict_exposes_prompt_slug_catalog():
    ctx = run_progression_roadmap_pipeline("Mae Geri", max_steps=3, include_llm_roadmap=False)
    api = progression_roadmap_to_api_dict(ctx)
    assert api["prompt_slug_catalog"]["goal_analysis"] == PROMPT_SLUG_GOAL_ANALYSIS
    assert api["prompt_slug_catalog"]["roadmap"] == PROMPT_SLUG_ROADMAP
    assert api["prompt_slug_catalog"]["stage_spec"] == PROMPT_SLUG_STAGE_SPEC
    assert api["prompt_slugs"] == []