Files
abogen/tests/test_audio_buffer.py
T
Artem Akymenko 0d46076bf6 refactor: extract audio buffer operations to domain layer
- Add abogen/domain/audio_buffer.py with core audio operations:
  - create_silence(): create silence audio buffer
  - mix_audio(): mix source into target buffer with auto-resize
  - normalize_audio(): normalize to prevent clipping
  - ensure_buffer_size(): extend buffer to minimum size
  - concatenate_audio(): join multiple audio buffers
  - audio_duration(): calculate duration from samples
  - samples_for_duration(): calculate samples from duration
  - SAMPLE_RATE constant (24000)

- Update abogen/pyqt/conversion.py:
  - Import and use create_silence for chapter silence
  - Use mix_audio for subtitle file mixing
  - Use normalize_audio for clipping prevention
  - Use create_silence for padding in subtitle processing

- Update abogen/webui/conversion_runner.py:
  - Import and use create_silence in append_silence
  - Replace np.zeros with domain function

- Add tests/test_audio_buffer.py with comprehensive unit tests
2026-07-15 20:02:33 +03:00

308 lines
10 KiB
Python

"""Tests for abogen.domain.audio_buffer module."""
import numpy as np
import pytest
from abogen.domain.audio_buffer import (
create_silence,
mix_audio,
normalize_audio,
ensure_buffer_size,
concatenate_audio,
audio_duration,
samples_for_duration,
SAMPLE_RATE,
)
class TestCreateSilence:
"""Tests for create_silence function."""
def test_positive_duration(self):
"""Test creating silence with positive duration."""
duration = 1.0 # 1 second
silence = create_silence(duration)
expected_samples = int(round(duration * SAMPLE_RATE))
assert len(silence) == expected_samples
assert silence.dtype == np.float32
assert np.all(silence == 0)
def test_zero_duration(self):
"""Test creating silence with zero duration returns empty array."""
silence = create_silence(0)
assert len(silence) == 0
assert silence.dtype == np.float32
def test_negative_duration(self):
"""Test creating silence with negative duration returns empty array."""
silence = create_silence(-1.0)
assert len(silence) == 0
assert silence.dtype == np.float32
def test_very_small_duration(self):
"""Test creating silence with very small duration."""
duration = 0.001 # 1 millisecond
silence = create_silence(duration)
# Should round to at least 1 sample or 0
assert len(silence) >= 0
assert silence.dtype == np.float32
def test_half_second(self):
"""Test creating 0.5 second of silence."""
silence = create_silence(0.5)
expected_samples = int(round(0.5 * SAMPLE_RATE))
assert len(silence) == expected_samples
class TestMixAudio:
"""Tests for mix_audio function."""
def test_basic_mix(self):
"""Test basic audio mixing."""
target = np.ones(100, dtype="float32")
source = np.ones(50, dtype="float32") * 2
mix_audio(target, source, start_sample=25)
# First 25 samples should remain 1.0
assert np.all(target[:25] == 1.0)
# Middle 50 samples should be 1.0 + 2.0 = 3.0
assert np.all(target[25:75] == 3.0)
# Last 25 samples should remain 1.0
assert np.all(target[75:] == 1.0)
def test_empty_source(self):
"""Test mixing empty source does nothing."""
target = np.ones(100, dtype="float32")
original = target.copy()
mix_audio(target, np.array([], dtype="float32"), start_sample=50)
assert np.array_equal(target, original)
def test_extend_target_buffer(self):
"""Test that target buffer is extended when needed."""
target = np.ones(100, dtype="float32")
source = np.ones(50, dtype="float32") * 2
# This should extend target to 150 samples
mix_audio(target, source, start_sample=120)
assert len(target) >= 170 # 120 + 50
# Check that source was mixed correctly
assert np.all(target[120:170] == 2.0)
def test_start_at_zero(self):
"""Test mixing starting at sample 0."""
target = np.zeros(100, dtype="float32")
source = np.ones(50, dtype="float32")
mix_audio(target, source, start_sample=0)
assert np.all(target[:50] == 1.0)
assert np.all(target[50:] == 0.0)
def test_explicit_end_sample(self):
"""Test mixing with explicit end_sample."""
target = np.zeros(100, dtype="float32")
source = np.ones(50, dtype="float32")
mix_audio(target, source, start_sample=10, end_sample=60)
# Only first 10 samples of source should be mixed (60-10=50, but source is only 50)
# Actually, end_sample overrides the length
assert target[10] == 1.0
class TestNormalizeAudio:
"""Tests for normalize_audio function."""
def test_no_normalization_needed(self):
"""Test audio within range is not modified."""
audio = np.ones(100, dtype="float32") * 0.5
result = normalize_audio(audio)
assert not np.share_memory(audio, result) # Should be a copy
assert np.array_equal(result, audio)
def test_normalization_applied(self):
"""Test audio above target peak is scaled down."""
audio = np.ones(100, dtype="float32") * 2.0
result = normalize_audio(audio)
assert np.all(result <= 1.0)
assert np.isclose(result[0], 1.0)
def test_empty_audio(self):
"""Test normalizing empty audio returns empty copy."""
audio = np.array([], dtype="float32")
result = normalize_audio(audio)
assert len(result) == 0
assert result.dtype == np.float32
def test_custom_target_peak(self):
"""Test normalization with custom target peak."""
audio = np.ones(100, dtype="float32") * 4.0
result = normalize_audio(audio, target_peak=2.0)
assert np.all(result <= 2.0)
assert np.isclose(result[0], 2.0)
def test_negative_peak(self):
"""Test normalization handles negative peaks."""
audio = np.ones(100, dtype="float32") * -2.0
result = normalize_audio(audio)
assert np.all(result >= -1.0)
assert np.isclose(result[0], -1.0)
def test_mixed_positive_negative(self):
"""Test normalization with both positive and negative peaks."""
audio = np.array([-3.0, 2.0, -1.0, 4.0], dtype="float32")
result = normalize_audio(audio)
# Should scale by 1/4 (max absolute value is 4)
assert np.isclose(result[0], -0.75)
assert np.isclose(result[1], 0.5)
assert np.isclose(result[3], 1.0)
class TestEnsureBufferSize:
"""Tests for ensure_buffer_size function."""
def test_buffer_already_large_enough(self):
"""Test buffer that is already large enough is unchanged."""
buffer = np.ones(100, dtype="float32")
result = ensure_buffer_size(buffer, 50)
assert np.array_equal(result, buffer)
def test_buffer_needs_extension(self):
"""Test buffer is extended with zeros when too small."""
buffer = np.ones(50, dtype="float32")
result = ensure_buffer_size(buffer, 100)
assert len(result) == 100
assert np.all(result[:50] == 1.0)
assert np.all(result[50:] == 0.0)
def test_exact_size(self):
"""Test buffer of exact size is unchanged."""
buffer = np.ones(100, dtype="float32")
result = ensure_buffer_size(buffer, 100)
assert len(result) == 100
assert np.array_equal(result, buffer)
class TestConcatenateAudio:
"""Tests for concatenate_audio function."""
def test_concatenate_two_buffers(self):
"""Test concatenating two audio buffers."""
a = np.ones(50, dtype="float32")
b = np.ones(50, dtype="float32") * 2
result = concatenate_audio(a, b)
assert len(result) == 100
assert np.all(result[:50] == 1.0)
assert np.all(result[50:] == 2.0)
def test_concatenate_multiple_buffers(self):
"""Test concatenating multiple audio buffers."""
a = np.ones(20, dtype="float32")
b = np.ones(30, dtype="float32") * 2
c = np.ones(40, dtype="float32") * 3
result = concatenate_audio(a, b, c)
assert len(result) == 90
assert np.all(result[:20] == 1.0)
assert np.all(result[20:50] == 2.0)
assert np.all(result[50:] == 3.0)
def test_concatenate_empty_buffers(self):
"""Test concatenating empty buffers returns empty array."""
result = concatenate_audio(
np.array([], dtype="float32"),
np.array([], dtype="float32")
)
assert len(result) == 0
def test_concatenate_with_empty(self):
"""Test concatenating with some empty buffers."""
a = np.ones(50, dtype="float32")
result = concatenate_audio(a, np.array([], dtype="float32"))
assert len(result) == 50
assert np.array_equal(result, a)
class TestAudioDuration:
"""Tests for audio_duration function."""
def test_one_second_duration(self):
"""Test duration calculation for 1 second of audio."""
audio = np.zeros(SAMPLE_RATE, dtype="float32")
duration = audio_duration(audio)
assert duration == 1.0
def test_half_second_duration(self):
"""Test duration calculation for 0.5 second of audio."""
audio = np.zeros(SAMPLE_RATE // 2, dtype="float32")
duration = audio_duration(audio)
assert duration == 0.5
def test_empty_audio_duration(self):
"""Test duration of empty audio is 0."""
duration = audio_duration(np.array([], dtype="float32"))
assert duration == 0.0
def test_custom_sample_rate(self):
"""Test duration with custom sample rate."""
audio = np.zeros(48000, dtype="float32") # 48k samples
duration = audio_duration(audio, sample_rate=48000)
assert duration == 1.0
class TestSamplesForDuration:
"""Tests for samples_for_duration function."""
def test_one_second(self):
"""Test samples for 1 second at default rate."""
samples = samples_for_duration(1.0)
assert samples == SAMPLE_RATE
def test_half_second(self):
"""Test samples for 0.5 second at default rate."""
samples = samples_for_duration(0.5)
assert samples == SAMPLE_RATE // 2
def test_zero_duration(self):
"""Test samples for 0 duration."""
samples = samples_for_duration(0)
assert samples == 0
def test_negative_duration(self):
"""Test samples for negative duration."""
samples = samples_for_duration(-1.0)
assert samples == 0
def test_custom_sample_rate(self):
"""Test samples with custom sample rate."""
samples = samples_for_duration(1.0, sample_rate=44100)
assert samples == 44100
class TestSampleRateConstant:
"""Tests for SAMPLE_RATE constant."""
def test_sample_rate_value(self):
"""Test SAMPLE_RATE is 24000."""
assert SAMPLE_RATE == 24000