"""Tests for atm.labeler."""
from __future__ import annotations

from pathlib import Path

import pytest

from atm.labeler import LabelStore, accuracy


def test_label_store_roundtrip(tmp_path: Path) -> None:
    path = tmp_path / "labels.json"
    store = LabelStore(path)
    store["img1.png"] = "turquoise"
    store["img2.png"] = "yellow"
    store.save()

    store2 = LabelStore(path)
    assert store2["img1.png"] == "turquoise"
    assert store2["img2.png"] == "yellow"
    assert store2.as_dict() == {"img1.png": "turquoise", "img2.png": "yellow"}


def test_accuracy_perfect() -> None:
    labels    = {"a.png": "turquoise", "b.png": "yellow", "c.png": "gray"}
    predicted = {"a.png": "turquoise", "b.png": "yellow", "c.png": "gray"}
    result = accuracy(labels, predicted)

    assert result["accuracy"] == pytest.approx(1.0)
    assert result["turquoise_precision"] == pytest.approx(1.0)
    assert result["turquoise_recall"] == pytest.approx(1.0)
    assert result["yellow_f1"] == pytest.approx(1.0)
    assert result["gray_f1"] == pytest.approx(1.0)


def test_accuracy_partial() -> None:
    # a=turquoise correct, b=turquoise predicted yellow (FN turquoise / FP yellow), c=yellow correct
    labels    = {"a.png": "turquoise", "b.png": "turquoise", "c.png": "yellow"}
    predicted = {"a.png": "turquoise", "b.png": "yellow",    "c.png": "yellow"}

    result = accuracy(labels, predicted)

    # 2 out of 3 correct
    assert result["accuracy"] == pytest.approx(2 / 3)

    # turquoise: tp=1, fp=0, fn=1 → precision=1.0, recall=0.5, f1=2/3
    assert result["turquoise_precision"] == pytest.approx(1.0)
    assert result["turquoise_recall"] == pytest.approx(0.5)
    assert result["turquoise_f1"] == pytest.approx(2 / 3)

    # yellow: tp=1, fp=1, fn=0 → precision=0.5, recall=1.0, f1=2/3
    assert result["yellow_precision"] == pytest.approx(0.5)
    assert result["yellow_recall"] == pytest.approx(1.0)
    assert result["yellow_f1"] == pytest.approx(2 / 3)