feat: CLI interface and unit tests#2
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Summary
cli.py+pyproject.tomlentry point): Users can now run the tool directly from the terminalwithout editing Python source files.
tests/): 30 tests acrosstest_utilities.pyandtest_main.pycovering all core logic with zeroheavy model dependencies.
CLI usage
Gemini (default):
Any OpenAI-compatible API:
With Google Sheets output:
llm-wer ... --sheet-name "LLM WER Analysis" --worksheet-name "run-1"Install with: pip install -e ".[dev]" then run llm-wer --help.
Tests
tests/
├── test_utilities.py # wer(), cer() — edge cases, custom weights, clamping
└── test_main.py # get_segments(), build_prompt(), process_llm_responses(),
# reconstruct_and_score(), load_and_validate_dataset()
Run with: pytest (no heavy model downloads required — normalizer/LLM calls are not exercised).
Test plan