feat: initial implementation of Datacat
- Add project structure with UV/hatch build system - Implement config module (env vars + YAML file support) - Implement collector module for pylitterbot integration - Implement metrics module for Datadog submission - Support LR3, LR4, and Feeder Robot metrics - Add event emission for state changes - Add CLI with --once mode for single collection
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.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# PyInstaller
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# IDE
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.idea/
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.vscode/
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*.swp
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*.swo
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*~
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# Config files with secrets
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config.yaml
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config.yml
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# UV
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.uv/
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uv.lock
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# macOS
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.DS_Store
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# Datacat specific
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*.log
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