import numpy as np

from audio_level import compute_rms, shape_level


def test_silence_is_zero():
    frames = np.zeros(1000, dtype="float32")
    assert compute_rms(frames) == 0.0


def test_empty_is_zero():
    frames = np.zeros(0, dtype="float32")
    assert compute_rms(frames) == 0.0


def test_full_scale_is_one():
    # signal constant à l'amplitude max → RMS normalisé proche de 1.0
    frames = np.ones(1000, dtype="float32")
    assert compute_rms(frames) == 1.0


def test_result_is_bounded():
    # même un signal qui dépasse [-1, 1] reste borné à 1.0
    frames = np.full(1000, 5.0, dtype="float32")
    level = compute_rms(frames)
    assert 0.0 <= level <= 1.0


def test_louder_gives_higher_level():
    quiet = np.full(1000, 0.1, dtype="float32")
    loud = np.full(1000, 0.5, dtype="float32")
    assert compute_rms(loud) > compute_rms(quiet)


def test_shape_level_zero_stays_zero():
    assert shape_level(0.0, gain=8.0) == 0.0


def test_shape_level_boosts_quiet_voice():
    # un RMS vocal typique (~0.05) doit devenir nettement perceptible après mise en forme
    shaped = shape_level(0.05, gain=8.0)
    assert shaped > 0.3


def test_shape_level_is_bounded():
    # un niveau déjà fort reste borné à 1.0 (pas de débordement)
    assert shape_level(0.9, gain=8.0) == 1.0


def test_shape_level_monotonic():
    assert shape_level(0.2, gain=8.0) > shape_level(0.05, gain=8.0)


def test_shape_level_gain_zero_is_zero():
    # gain nul → aucune réaction
    assert shape_level(0.5, gain=0.0) == 0.0