- Implement DiarizeService with pyannote.audio speaker detection - Build PipelineService combining transcribe → diarize → merge with overlap-based speaker assignment per segment - Add pipeline.start and diarize.start IPC handlers - Add run_pipeline Tauri command for full pipeline execution - Wire frontend to use pipeline: speakers auto-created with colors, segments assigned to detected speakers - Build SpeakerManager with rename support (double-click or edit button) - Add speaker color coding throughout transcript display - Add pyannote.audio dependency - Tests: 24 Python (including merge logic), 6 Rust, 0 Svelte errors Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
91 lines
2.8 KiB
Python
91 lines
2.8 KiB
Python
"""Tests for pipeline service data structures and merge logic."""
|
|
|
|
from voice_to_notes.services.diarize import SpeakerSegment
|
|
from voice_to_notes.services.pipeline import (
|
|
PipelineResult,
|
|
PipelineSegment,
|
|
PipelineService,
|
|
pipeline_result_to_payload,
|
|
)
|
|
from voice_to_notes.services.transcribe import (
|
|
SegmentResult,
|
|
TranscriptionResult,
|
|
WordResult,
|
|
)
|
|
|
|
|
|
def test_pipeline_result_to_payload():
|
|
result = PipelineResult(
|
|
segments=[
|
|
PipelineSegment(
|
|
text="Hello world",
|
|
start_ms=0,
|
|
end_ms=2000,
|
|
speaker="SPEAKER_00",
|
|
words=[
|
|
WordResult(word="Hello", start_ms=0, end_ms=800, confidence=0.95),
|
|
WordResult(word="world", start_ms=900, end_ms=2000, confidence=0.88),
|
|
],
|
|
),
|
|
],
|
|
language="en",
|
|
language_probability=0.98,
|
|
duration_ms=10000,
|
|
speakers=["SPEAKER_00", "SPEAKER_01"],
|
|
num_speakers=2,
|
|
)
|
|
payload = pipeline_result_to_payload(result)
|
|
assert payload["language"] == "en"
|
|
assert payload["num_speakers"] == 2
|
|
assert len(payload["segments"]) == 1
|
|
assert payload["segments"][0]["speaker"] == "SPEAKER_00"
|
|
assert len(payload["segments"][0]["words"]) == 2
|
|
|
|
|
|
def test_pipeline_result_to_payload_empty():
|
|
result = PipelineResult()
|
|
payload = pipeline_result_to_payload(result)
|
|
assert payload["segments"] == []
|
|
assert payload["speakers"] == []
|
|
assert payload["num_speakers"] == 0
|
|
|
|
|
|
def test_merge_results_assigns_speakers():
|
|
"""Test that _merge_results correctly assigns speakers based on overlap."""
|
|
service = PipelineService()
|
|
|
|
transcription = TranscriptionResult(
|
|
segments=[
|
|
SegmentResult(text="Hello there", start_ms=0, end_ms=3000, words=[]),
|
|
SegmentResult(text="How are you", start_ms=4000, end_ms=7000, words=[]),
|
|
],
|
|
language="en",
|
|
language_probability=0.99,
|
|
duration_ms=10000,
|
|
)
|
|
|
|
speaker_segments = [
|
|
SpeakerSegment(speaker="SPEAKER_00", start_ms=0, end_ms=3500),
|
|
SpeakerSegment(speaker="SPEAKER_01", start_ms=3500, end_ms=8000),
|
|
]
|
|
|
|
result = service._merge_results(transcription, speaker_segments)
|
|
assert len(result.segments) == 2
|
|
assert result.segments[0].speaker == "SPEAKER_00"
|
|
assert result.segments[1].speaker == "SPEAKER_01"
|
|
|
|
|
|
def test_merge_results_no_speaker_segments():
|
|
"""With no speaker segments, all speakers should be None."""
|
|
service = PipelineService()
|
|
|
|
transcription = TranscriptionResult(
|
|
segments=[SegmentResult(text="Hello", start_ms=0, end_ms=1000, words=[])],
|
|
language="en",
|
|
language_probability=0.99,
|
|
duration_ms=1000,
|
|
)
|
|
|
|
result = service._merge_results(transcription, [])
|
|
assert result.segments[0].speaker is None
|