import csv
import json

from pcmt.pipeline import RunConfig, run_pipeline
from pcmt.robustness import make_robustness_figures, run_robustness_atlas


def test_robustness_atlas_writes_aggregate_certificate_stability_tables(tmp_path):
    run_dir = tmp_path / "run"
    output = tmp_path / "robustness"
    run_pipeline(RunConfig(output=run_dir, fixture_root=tmp_path / "fixtures", clips=2, edits=["none", "audio_shift"], use_gpu="cpu"))

    metrics = run_robustness_atlas(run_dir, output, thresholds=5, radii=[0, 1, 2], use_gpu="cpu", sample_limit=4)

    assert metrics["phase_rows"] == 5 * 3 * 5
    assert metrics["max_defect_bound_violation"] == 0.0
    expected = [
        "stability_cube_summary.csv",
        "stability_phase_diagram_values.csv",
        "threshold_radius_counterexample_preservation.csv",
        "certificate_margin_table.csv",
        "sample_unstable_certificates.jsonl",
        "robustness_metrics.json",
    ]
    for name in expected:
        assert (output / name).exists()
    with (output / "stability_cube_summary.csv").open("r", encoding="utf-8", newline="") as handle:
        rows = list(csv.DictReader(handle))
    assert any(row["formula_id"] == "ALL" for row in rows)
    assert max(float(row["max_defect_bound_violation"]) for row in rows) == 0.0
    saved = json.loads((output / "robustness_metrics.json").read_text())
    assert saved["groups"] == 4


def test_robustness_figure_renders_phase_diagram(tmp_path):
    run_dir = tmp_path / "run"
    atlas = tmp_path / "robustness"
    figures = tmp_path / "figures"
    run_pipeline(RunConfig(output=run_dir, fixture_root=tmp_path / "fixtures", clips=1, edits=["none"], use_gpu="cpu"))
    run_robustness_atlas(run_dir, atlas, thresholds=4, radii=[0, 1], use_gpu="cpu")

    paths = make_robustness_figures(atlas, figures)

    assert (figures / "certificate_stability_phase_diagram.png").exists()
    assert (figures / "certificate_stability_phase_diagram.pdf").exists()
    assert paths["phase_png"].endswith(".png")