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Creates Python Wheel Archives.

Project description

This tool creates tar.gz based Python Wheel archives for single modules and allows to install them.

(NOTE: Currently, only tested on Linux).

Cloudify Plugins are packaged as sets of Python Wheels in tar.gz files and so we needed a tool to create such archives. Hence, Wheelr.

Usage

Create Packages

wheelr create --help

Examples

# create an archive by retrieving the source from PyPI and keep the downloaded wheels (kept under <cwd>/plugin)
wheelr create -s cloudify-script-plugin==1.2 --keep-wheels -v
# create an archive package by retrieving the source from a URL and creates wheels from requirement files found within the archive.
wheelr create -s http://github.com/cloudify-cosmo/cloudify-script-plugin/archive/1.2.tar.gz -r .
# create an archive package by retrieving the source from a local path and output the tar.gz file to /tmp/<MODULE>.tar.gz (defaults to <cwd>/<MODULE>.tar.gz)
wheelr create -s ~/modules/cloudify-script-plugin/ -o /tmp/

The output package of the three commands should be something like cloudify_script_plugin-1.2-py27-none-any.tar.gz if running under Python 2.7.x.

Install Packages

wheelr install --help

Examples

# install a packaged module from a local package tar file and upgrade if already installed
wheelr install -s ~/tars/cloudify_script_plugin-1.2-py27-none-any.tar.gz --upgrade
# install a packaged module from a url into an existing virtualenv
wheelr install -s http://me.com/cloudify_script_plugin-1.2-py27-none-any.tar.gz --virtualenv my_venv -v

Naming and Versioning

Source: PyPI

When providing a PyPI source, it must be supplied as MODULE_NAME==MODULE_VERSION. Wheelr then applies the correct name and version to the archive according to the two parameters.

Source: Else

For local path and URL sources, the name and version are automatically extracted from the setup.py file.

NOTE: This means that when supplying a local path, you must supply a path to the root of where your setup.py file resides.

Metadata File and Wheels

A Metadata file is generated for the archive and looks somewhat like this:

{
    "archive_name": "cloudify_script_plugin-1.2-py27-none-any.tar.gz",
    "supported_platform": "any",
    "module_name": "cloudify-script-plugin",
    "module_source": "cloudify-script-plugin==1.2",
    "module_version": "1.2",
    "wheels": [
        "proxy_tools-0.1.0-py2-none-any.whl",
        "bottle-0.12.7-py2-none-any.whl",
        "networkx-1.8.1-py2-none-any.whl",
        "pika-0.9.13-py2-none-any.whl",
        "cloudify_plugins_common-3.2.1-py2-none-any.whl",
        "requests-2.7.0-py2.py3-none-any.whl",
        "cloudify_rest_client-3.2.1-py2-none-any.whl",
        "cloudify_script_plugin-1.2-py2-none-any.whl"
    ]
}
  • The wheels to be installed reside in the tar.gz file under ‘wheels/*.whl’.

  • The Metadata file resides in the tar.gz file under ‘module.json’.

  • The installer uses the metadata file to check that the platform fits the machine the module is being installed on.

Archive naming convention and Platform

The tar.gz archive is named according to the Wheel naming convention described in PEP0427 aside from two fields:

Example: cloudify_fabric_plugin-1.2.1-py27-none-linux_x86_64.tar.gz

  • {python tag}: The Python version is set by the Python running the packaging process. That means that while a module might run on both py27 and py33 (for example), since the packaging process took place using Python 2.7, only py27 will be appended to the name. Note that we will be providing a way for the user to provide the supported Python versions explicitly.

  • {platform tag}: The platform (e.g. linux_x86_64, win32) is set for a specific wheel. To know which platform the module can be installed on, all wheels are checked. If a specific wheel has a platform property other than any, that platform will be used as the platform of the package. Of course, we assume that there can’t be wheels downloaded or created on a specific machine platform that belongs to two different platforms.

Project details


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wheelr-0.1.1.tar.gz (22.4 kB view hashes)

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