from __future__ import annotations

from app.processing.utils.statistics import detect_anomalies, moving_average, percentile_stats


def test_moving_average() -> None:
    values = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0]
    result = moving_average(values, window=3)
    assert len(result) == 5
    assert abs(result[0] - 2.0) < 0.001


def test_moving_average_short_input() -> None:
    values = [1.0, 2.0]
    result = moving_average(values, window=5)
    assert result == values


def test_detect_anomalies() -> None:
    values = [10.0, 10.1, 9.9, 10.0, 50.0, 10.0, 9.8]
    anomalies = detect_anomalies(values, threshold=2.0)
    assert len(anomalies) >= 1
    assert any(a["value"] == 50.0 for a in anomalies)


def test_percentile_stats() -> None:
    values = list(range(1, 101))
    stats = percentile_stats([float(v) for v in values])
    assert abs(stats["p50"] - 50.5) < 1.0
    assert stats["p99"] > stats["p95"]