admin
e04e2533fc
Add a repository-native runner for reproducible Meeting Lab benchmark runs on machines without Codex. The runner: - validates normalized Whisper input and Meeting Context - checks Ollama availability and the requested model - rejects preloaded Ollama models by default for clean benchmarks - supports an explicit --allow-loaded-models override - uses the selected production configuration: - qwen3.5:9b - target_chars=4500 - max_chars=5500 - min_chars=2500 - overlap_blocks=0 - think=false - temperature=0 - num_ctx=32768 - executes the complete current pipeline - creates unique benchmark output directories - preserves artifacts up to failure - records runtime, environment and validation metadata - writes working_protocol.md only when the renderer contract passes Add focused mocked tests and Linux-first setup documentation for the AI-PC. The runner does not include Whisper execution.
50 lines
635 B
Plaintext
50 lines
635 B
Plaintext
# Python
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__pycache__/
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*.py[cod]
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*.so
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# Virtual Environment
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.venv/
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venv/
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# Build
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build/
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dist/
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*.egg-info/
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# IDE
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.vscode/
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.idea/
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# macOS
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.DS_Store
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# Test
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.pytest_cache/
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.test-tmp/
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.test-tmp-root/
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tmp_run_meeting_tests/
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.coverage
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htmlcov/
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# Ruff / mypy
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.ruff_cache/
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.mypy_cache/
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# Experiment Outputs
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experiments/**/output/
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experiments/**/results/
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# Pipeline runtime artifacts
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samples/raw/
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samples/whisper/
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**/chunk_*_extraction.json
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**/meeting_protocol.md
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**/*.raw.txt
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tests/gold/**/actual.json
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samples/benchmarks/semantic_consolidator_v0/raw_model_response.txt
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# Lokale Meetings (niemals versionieren)
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meeting_data/
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recordings/
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