如何让PyPI自动安装依赖项 [英] How to get PyPI to automatically install dependencies

问题描述

如何在PyPI上发布软件包，以便自动安装所有依赖项，而不是由用户手动安装.

How can I publish a package on PyPI such that all dependencies are automatically installed, rather than manually by the user.

我用install_requires在setup.py中指定依赖项，如下所示:

I specify the dependencies in setup.py with install_requires as follows:

setuptools.setup(name='myPackage',
    version='1.0',
    packages=setuptools.find_packages(),
    include_package_data=True,
    classifiers=[
        'Programming Language :: Python :: 3',
        'Operating System :: OS Independent',
        'Topic :: Scientific/Engineering :: Bio-Informatics'
                ],
    install_requires=['numpy', 'pandas', 'sklearn'],
    python_requires='>=3'
        )

我有一个requirements.txt文件，该文件包含在我的MANIFEST.in中:

And I have a requirements.txt file which is included in my MANIFEST.in:

numpy==1.15.4
sklearn==0.20.1
pandas==0.23.4

但是，当我尝试安装软件包时在test.pypi上发布后，出现以下错误:

However, after publishing on test.pypi when I try to install the package, I get the following error:

Could not find a version that satisfies the requirement numpy (from myPackage==1.0.0) (from versions: )
No matching distribution found for sklearn (from myPackage==1.0.0)

这意味着PyPI不会安装numpy依赖项. 如何启用自动安装依赖项? 在构建和发布程序包时，我应该使用虚拟环境吗?我该怎么做?

This means that PyPI does not install the numpy dependency. How do I enable automatic installation of my dependencies? Should I use a virtual environment when building and publishing the package? How do I do this?

P.S.我是新手，所以我将欣赏显式代码或指向简单教程页面的链接.谢谢.

P.S. I am entirely new to this so I will appreciate explicit code or links to simple tutorial pages. Thank you.

推荐答案

我意识到从test.PyPI安装软件包不会安装所有软件包，因为其中一些软件包托管在PyPI上，而不是test.PyPI.

I realized that installing packages from test.PyPI does not install all packages, since some of these packages are hosted on PyPI and not test.PyPI.

当我在PyPI上以预发行版(1.0a1)发行软件包时，而不是在test.PyPI上发行软件包，则正确安装了依赖项.因此，问题完全出在test.PyPI.

When I published the package on PyPI as a pre-release version (1.0a1), instead on test.PyPI, the dependencies were correctly installed. Hence, the problem was purely with test.PyPI.

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