Deploying with Setuptools


  • 支持依赖:库或者应用可以声明它依赖的其它的库的一个列表,它们将会自动为你安装好。
  • 注册软件包: setuptools 将你的包注册到您的安装的 Python 环境中。这使得你可以使一个包中的代码查询另一个包所提供的信息。The best known feature of this system is the entry point support which allows one package to declare an “entry point” that another package can hook into to extend the other package.
  • 安装管理pip可以为你安装其它的库。

If you have Python 2 (>=2.7.9) or Python 3 (>=3.4) installed from, you will already have pip and setuptools on your system. Otherwise, you will need to install them yourself.


In this case we assume your application is called and you are not using a module, but a package. If you have not yet converted your application into a package, head over to the Larger Applications pattern to see how this can be done.

A working deployment with setuptools is the first step into more complex and more automated deployment scenarios. If you want to fully automate the process, also read the Deploying with Fabric chapter.

Basic Setup Script


Standard disclaimer applies: you better use a virtualenv.

Your setup code always goes into a file named next to your application. The name of the file is only convention, but because everybody will look for a file with that name, you better not change it.

A basic file for a Flask application looks like this:

from setuptools import setup

    name='Your Application',

Please keep in mind that you have to list subpackages explicitly. If you want setuptools to lookup the packages for you automatically, you can use the find_packages function:

from setuptools import setup, find_packages


Most parameters to the setup function should be self explanatory, include_package_data and zip_safe might not be. include_package_data tells setuptools to look for a file and install all the entries that match as package data. We will use this to distribute the static files and templates along with the Python module (see Distributing Resources). The zip_safe flag can be used to force or prevent zip Archive creation. In general you probably don’t want your packages to be installed as zip files because some tools do not support them and they make debugging a lot harder.

Tagging Builds

It is useful to distinguish between release and development builds. Add a setup.cfg file to configure these options.

[egg_info] tag_build = .dev tag_date = 1

[aliases] release = egg_info -RDb ‘’

Running python sdist will create a development package with ”.dev” and the current date appended: flaskr-1.0.dev20160314.tar.gz. Running python release sdist will create a release package with only the version: flaskr-1.0.tar.gz.

Distributing Resources

如果你试图安装刚刚创建的包,你会发现诸如statictemplates这样的文件夹没有安装进去。The reason for this is that setuptools does not know which files to add for you. 你应该做的是在setup.py文件的同级目录下创建一个MANIFEST.in文件。这个文件列出所有应该加入到压缩包中的文件:

recursive-include yourapplication/templates *
recursive-include yourapplication/static *

Don’t forget that even if you enlist them in your file, they won’t be installed for you unless you set the include_package_data parameter of the setup function to True!


依赖在install_requires参数中声明为一个列表。Each item in that list is the name of a package that should be pulled from PyPI on installation. By default it will always use the most recent version, but you can also provide minimum and maximum version requirements. Here some examples:


正如前面提到的,依赖关系是从PyPI拉下来的。如果您需要依赖一个不能在 PyPI 当中 被下载的包,比如这个包是个内部的,您不想与别人分享。Just do it as if there was a PyPI entry and provide a list of alternative locations where setuptools should look for tarballs:


Make sure that page has a directory listing and the links on the page are pointing to the actual tarballs with their correct filenames as this is how setuptools will find the files. If you have an internal company server that contains the packages, provide the URL to that server.

Installing / Developing

To install your application (ideally into a virtualenv) just run the script with the install parameter. It will install your application into the virtualenv’s site-packages folder and also download and install all dependencies:

$ python install

If you are developing on the package and also want the requirements to be installed, you can use the develop command instead:

$ python develop

This has the advantage of just installing a link to the site-packages folder instead of copying the data over. You can then continue to work on the code without having to run install again after each change.