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jamiepineandcapy-ai-staging[bot]
ae300c5316
Registering Kokoro with needs_trim=True routed its output through the generic trim_tts_output, whose 1s internal-silence cut was tuned for Chatterbox hallucinations. KPipeline synthesizes newline- and token-limit-separated segments independently, and the ~0.3s lead plus ~0.7s tail pads at each boundary add up to 1.2s of silence, so with af_sarah a four-paragraph script came back as its first paragraph only (10.9s -> 1.8s) and a 51s text lost half its segments. Drop the needs_trim flag, keep the in-backend trim, and give trim_tts_output a max_internal_silence_ms=None mode that only trims the leading and trailing pads. Tests updated for the new behaviour, with a two-segment fake pipeline and an explicit internal-gap case.
Backend Tests
Manual test scripts for debugging and validating backend functionality.
Test Files
test_generation_progress.py
Tests TTS generation with SSE progress monitoring to identify UX issues where users see download progress even when the model is already cached.
Usage:
cd backend
python tests/test_generation_progress.py
Prerequisites:
- Server must be running (
python main.py) - At least one voice profile must exist
test_real_download.py
Tests real model download with SSE progress monitoring.
Usage:
cd backend
# Delete cache first to force fresh download
rm -rf ~/.cache/huggingface/hub/models--openai--whisper-base
python tests/test_real_download.py
Prerequisites:
- Server must be running (
python main.py)
test_progress.py
Unit tests for ProgressManager and HFProgressTracker functionality.
Usage:
cd backend
python tests/test_progress.py
test_check_progress_state.py
Debugging script to inspect the internal state of ProgressManager and TaskManager.
Usage:
cd backend
python tests/test_check_progress_state.py
Notes
These are manual test scripts, not automated unit tests. They're designed for:
- Debugging progress tracking issues
- Validating SSE event streams
- Monitoring real-time download behavior
- Inspecting internal state during development