retail_eda_project/setup.py at main · lishuzheng01/retail_eda_project · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
"""
零售数据分析项目安装配置
"""
from setuptools import setup, find_packages

with open("readme.md", "r", encoding="utf-8") as fh:
    long_description = fh.read()

with open("requirements.txt", "r", encoding="utf-8") as fh:
    requirements = [line.strip() for line in fh if line.strip() and not line.startswith("#")]

setup(
    name="retail-eda-project",
    version="2.0.0",
    author="Retail Analytics Team",
    author_email="analytics@retail.com",
    description="零售企业促销季商品销售数据分析系统",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/retail-analytics/retail-eda-project",
    packages=find_packages(),
    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 :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Programming Language :: Python :: 3.11",
        "Topic :: Scientific/Engineering :: Information Analysis",
        "Topic :: Office/Business :: Financial :: Point-Of-Sale",
    ],
    python_requires=">=3.8",
    install_requires=requirements,
    extras_require={
        "dev": [
            "pytest>=6.0",
            "black>=21.0",
            "flake8>=3.8",
            "mypy>=0.800",
        ],
        "jupyter": [
            "jupyter>=1.0.0",
            "ipywidgets>=7.6.0",
        ],
    },
    entry_points={
        "console_scripts": [
            "retail-eda=scripts.eda_run:main",
        ],
    },
    include_package_data=True,
    package_data={
        "": ["*.yml", "*.yaml", "*.csv", "*.txt"],
    },
)