开源软件名称（OpenSource Name）：

JetBrains/gradle-python-envs

开源软件地址(OpenSource Url)：

https://github.com/JetBrains/gradle-python-envs

开源编程语言(OpenSource Language)：

Groovy 99.7%

开源软件介绍(OpenSource Introduction)：

Gradle Python Envs Plugin

Gradle plugin to create Python envs.

This plugin is based on gradle-miniconda-plugin, but in addition to creating Conda envs it provides:

A convenient DSL to specify target Python environments
Creating Python envs for Unix with python-build for Unix
N.B.: Common build problems article from pyenv
Creating Python envs for Windows by installing msi or exe from python.org.
N.B.: Windows UAC should be switched off, otherwise - use Python from zip
Both Anaconda and Miniconda support (32 and 64 bit versions)
Creating Conda envrionments, conda package installation support
Creating Jython environments
Creating PyPy environments (only Unix is supported, by default pypy2.7-5.8.0 version is used)
Creating IronPython environments (only Windows is supported, by default 2.7.9 version is used)
Virtualenv creation from any python environment created
Python from zip creation: downloading archive from specified url, unpacking and preparing to work with
Package installation for any environment or virtualenv with specified install options

Usage

Apply the plugin to your project following https://plugins.gradle.org/plugin/com.jetbrains.python.envs, and configure the associated extension:

envs {
  bootstrapDirectory = new File(buildDir, 'bootstrap')
  envsDirectory = new File(buildDir, 'envs')
  
  // Download python zips when Windows is used from https://repository.net/%archieveName%,
  // where {archieveName} is python-{version}-{architecture}.zip.
  // For example, for the 64 bit version of Python 3.7.2 the archive name will be python-3.7.2-64.zip
  zipRepository = new URL("https://repository.net/")
  shouldUseZipsFromRepository = Os.isFamily(Os.FAMILY_WINDOWS)
  
  // by default if architecture isn't specified - 64 bit one is used
  // _64Bits = true
  
  // by default pipInstallOptions equals to "--trusted-host pypi.python.org" 
  // to fix CERTIFICATE_VERIFY_FAILED ssl error
  // pipInstallOptions = "--trusted-host pypi.python.org"
  
  //python "envName", "version", [<packages>]
  python "python35_64", "3.5.3", ["django==1.9"]
  //python "envName", "version", "architecture", [<packages>]
  python "python36_32", "3.6.2", "32", ["django==1.10"]
  //python "envName", "version", "architecture", [<packages>], patchUri
  python "python310_64", "3.10.0", "64", [], "file://path/to/a.patch"
  //virtualenv "virtualEnvName", "sourceEnvName", [<packages>]
  virtualenv "envPython35", "python35_64", ["pytest"]
  virtualenv "envPython36", "python36_32", ["behave", "requests"]

  //conda "envName", "version", "architecture"
  conda "Miniconda3", "Miniconda3-latest", "64"
  //conda "envName", "version", [<packages>]
  conda "Anaconda2", "Anaconda2-4.4.0", [condaPackage("PyQt")]
  //conda "envName", "version", "architecture", [<packages>]
  conda "Anaconda3", "Anaconda3-4.4.0", "64", ["django==1.8"]
  
  //condaenv "envName", "version", [<packages>]
  // Here will be created additional "Miniconda2-latest" 
  // (or another one specified in condaDefaultVersion value) 
  // conda interpreter to be bootstraped
  condaenv "pyqt_env", "2.7", [condaPackage("pyqt")]
  //condaenv "envName", "version", "sourceEnvName", [<packages>]
  condaenv "django19", "2.7", "Miniconda3", ["django==1.9"]
  condaenv "conda34", "3.4", "Miniconda3", ["ipython==2.1", "django==1.6", "behave", "jinja2", "tox==2.0"]

  if (Os.isFamily(Os.FAMILY_WINDOWS)) {
    // This links are used for envs like tox; *nix envs have such links already
    link "bin/python2.7.exe", "bin/python.exe", new File(envsDirectory, "django19")
    link "bin/python3.4.exe", "bin/python.exe", new File(envsDirectory, "conda34")
  }

  //jython "envName", [<packages>]
  jython "jython"
  virtualenv "envJython", "jython", ["django==1.8"]
  
  if (Os.isFamily(Os.FAMILY_UNIX)) {
    //pypy "envName", [<packages>]
    pypy "pypy2", ["django"]
    virtualenv "envPypy2", "pypy2", ["pytest"]
    //pypy "envName", "version", [<packages>]
    //version should be in accordance with python-build
    pypy "pypy3", "pypy3.5-5.8.0", ["nose"]
    virtualenv "envPypy3", "pypy3", ["django"]    
  }
  
  if (Os.isFamily(Os.FAMILY_WINDOWS)) {
    //ironpython "envName", [<packages>]
    ironpython "ironpython64", ["requests"]
    //ironpython "envName", "architecture", [<packages>]
    ironpython "ironpython32", "32", ["requests"]
    // ironpython doesn't support virtualenvs at all
  }
}

Then invoke the build_envs task.

This will download and install specified python's interpreters (python, anaconda and miniconda, jython, pypy, ironpython) to buildDir/bootstrap.

Then it will create several conda and virtual envs in buildDir/envs.

Libraries listed will be installed correspondingly. Packages in list are installed with pip install command. If the function condaPackage() was called for package name, it will be installed with conda install command. It enables to install, for example, PyQt in env.