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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"]
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