- Add comprehensive README with architecture overview and quick start guide - Set up Go module with production-ready dependencies - Configure build system with Makefile for development and production builds - Add Docker Compose for local development environment - Include project configuration files (linting, Python, etc.) This establishes the foundation for a production-ready ML experiment platform with task queuing, monitoring, and modern CLI/API interface.
47 lines
795 B
INI
47 lines
795 B
INI
[flake8]
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max-line-length = 80
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max-complexity = 10
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exclude =
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.git,
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__pycache__,
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*.pyc,
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.pytest_cache,
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.mypy_cache,
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.venv,
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venv,
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build,
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dist,
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# ML experiment code - exclude from style checks
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podman/workspace,
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workspace,
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tests/fixtures/examples,
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tests/fixtures/podman,
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results,
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data,
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logs,
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secrets,
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.agent
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ignore =
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E203,
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E501,
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W503,
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W504,
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F401,
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E402,
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C901
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per-file-ignores =
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__init__.py:F401
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tests/*:F401,F811
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*_test.py:F401,F811
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conftest.py:F401,F811
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# Additional Google Style Guide recommendations
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inline-quotes = single
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multiline-quotes = double
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docstring-quotes = double
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# Import ordering (Google style)
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import-order-style = google
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application-import-names = fetch_ml
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