- Archive: 85 agent .txt files → docs/archive/agents/legacy_txt/ - Scripts: Move 110 shell scripts → scripts/ (keep deploy.sh in root) - Models: Move 18 .safetensors → ml/models/checkpoints/training_artifacts/ - Delete: 34 directories (~33GB freed) - target/, coverage_*, test artifacts - Build: Clean 14 build artifacts (.rlib, .o, .pid, binaries) - Tests: Move 14 .rs files → tests/standalone/ - SQL: Move 5 files → sql/ (keep init-db*.sql for Docker) - Wave 153: Archive to docs/archive/historical/wave153/ - Docs: Archive 9 markdown files to wave_d/reports/ and historical/ Total impact: ~34GB freed (both waves), root directory cleaned from 583 to ~40 essential files Directory count reduced from 65 to 31 (52% reduction) All historical data preserved in organized archive structure
47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
"""Setup script for runpod module."""
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from setuptools import setup, find_packages
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from pathlib import Path
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# Read the README file
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readme_file = Path(__file__).parent / "runpod" / "README.md"
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long_description = readme_file.read_text() if readme_file.exists() else ""
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setup(
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name="foxhunt-runpod",
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version="1.0.0",
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author="Foxhunt Team",
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description="RunPod deployment and monitoring for Foxhunt ML training",
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long_description=long_description,
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long_description_content_type="text/markdown",
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packages=["runpod"], # Explicit package name - clean architecture
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python_requires=">=3.8",
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install_requires=[
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"requests>=2.31.0",
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"boto3>=1.28.0",
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"python-dotenv>=1.0.0",
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"rich>=13.0.0",
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"pydantic>=2.0.0",
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"pydantic-settings>=2.0.0",
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],
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extras_require={
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"test": [
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"pytest>=7.4.0",
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"pytest-cov>=4.1.0",
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"pytest-mock>=3.11.1",
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"responses>=0.23.1",
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"moto[s3]>=4.2.0",
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]
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},
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classifiers=[
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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],
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)
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