from datetime import datetime, timezone import numpy as np from mic_clipper.audio_input import PulseAudioInput from mic_clipper.runner import record_frames from mic_clipper.segmenter import Segmenter class FakeVad: def __init__(self, probabilities: list[float]) -> None: self.probabilities = iter(probabilities) def probability(self, _samples: np.ndarray) -> float: return next(self.probabilities) class FakeClip: def __init__(self) -> None: self.writes: list[np.ndarray] = [] self.closed = False def write(self, samples: np.ndarray) -> None: self.writes.append(samples) def close(self) -> None: self.closed = True def abort(self) -> None: self.closed = True class FakeWriter: def __init__(self) -> None: self.opened: list[FakeClip] = [] def open(self, _started_at: datetime) -> FakeClip: clip = FakeClip() self.opened.append(clip) return clip def samples() -> np.ndarray: return np.zeros(512, dtype=np.float32) def test_silence_never_opens_an_output_clip(): writer = FakeWriter() record_frames( [samples(), samples()], vad=FakeVad([0.1, 0.1]), writer=writer, segmenter=Segmenter(pre_roll_seconds=0.5, silence_seconds=1.5), now=lambda: datetime(2026, 9, 29, tzinfo=timezone.utc), ) assert writer.opened == [] def test_end_event_closes_the_active_encoder(): writer = FakeWriter() record_frames( [samples()] + [samples()] * 47, vad=FakeVad([0.9] + [0.1] * 47), writer=writer, segmenter=Segmenter(pre_roll_seconds=0.5, silence_seconds=1.5), now=lambda: datetime(2026, 9, 29, tzinfo=timezone.utc), ) assert len(writer.opened) == 1 assert writer.opened[0].closed def test_pulse_input_uses_dynamic_default_device_at_16khz_mono(): command = PulseAudioInput.command() assert command[0] == "ffmpeg" assert command[command.index("-f") + 1] == "pulse" assert command[command.index("-i") + 1] == "default" assert command[-2:] == ["f32le", "pipe:1"]