from pathlib import Path

from fastapi.testclient import TestClient

from app import main
from app.main import app
from app.modules.results.service import parse_training_curve


def test_parse_yolo_results_curve(tmp_path: Path):
    csv_path = tmp_path / "results.csv"
    csv_path.write_text(
        "\n".join(
            [
                "epoch,time,train/box_loss,train/seg_loss,metrics/mAP50(M),val/seg_loss,lr/pg0",
                "1,1.0,1.5,3.0,0.12,2.8,0.001",
                "2,2.0,1.2,2.5,0.18,2.1,0.001",
                "3,3.0,0.9,2.0,0.25,1.9,0.001",
            ]
        ),
        encoding="utf-8",
    )

    curve = parse_training_curve(csv_path)

    assert curve is not None
    assert curve["x_key"] == "epoch"
    names = [item["name"] for item in curve["series"]]
    assert "train/seg_loss" in names
    assert "metrics/mAP50(M)" in names
    assert all("lr/" not in name for name in names)


def test_results_api_honors_limit(monkeypatch):
    calls = {}

    def fake_scan_results(limit: int = 1000):
        calls["limit"] = limit
        return [{"name": "a.png", "relative_path": "var/a.png"}]

    monkeypatch.setattr(main, "scan_results", fake_scan_results)
    response = TestClient(app).get("/api/results?limit=123")

    assert response.status_code == 200
    assert calls["limit"] == 123


def test_results_curve_api_honors_limit(monkeypatch):
    calls = {}

    def fake_scan_training_curves(limit: int = 100):
        calls["limit"] = limit
        return [{"name": "results", "relative_path": "var/results.csv"}]

    monkeypatch.setattr(main, "scan_training_curves", fake_scan_training_curves)
    response = TestClient(app).get("/api/results/curves?limit=77")

    assert response.status_code == 200
    assert calls["limit"] == 77