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"""
Setup file for Predictive Maintenance package.
"""
from pathlib import Path
from setuptools import find_packages, setup
# Read README
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text(encoding="utf-8")
# Read requirements
requirements = []
requirements_path = this_directory / "requirements.txt"
if requirements_path.exists():
requirements = [
line.strip()
for line in requirements_path.read_text().splitlines()
if line.strip() and not line.startswith("#")
]
setup(
name="predictive-maintenance",
version="1.0.0",
author="Your Name",
author_email="your.email@example.com",
description="End-to-end MLOps project for Remaining Useful Life (RUL) prediction",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/yourusername/predictive-maintenance",
packages=find_packages(exclude=["tests", "tests.*", "notebooks"]),
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
python_requires=">=3.10",
install_requires=requirements,
extras_require={
"dev": [
"pytest>=7.4.0",
"pytest-cov>=4.1.0",
"black>=23.12.0",
"flake8>=6.1.0",
"mypy>=1.7.0",
"pre-commit>=3.6.0",
],
"docs": [
"sphinx>=7.0.0",
"sphinx-rtd-theme>=2.0.0",
],
},
entry_points={
"console_scripts": [
"pm-train=src.pipelines.training_pipeline:run_training_pipeline",
"pm-predict=src.components.batch_prediction:run_batch_prediction",
"pm-api=api.main:app",
],
},
include_package_data=True,
zip_safe=False,
)