I found virtual environments (venv) a little frustrating to implement over and over, so I created this package that will create a venv and install any dependancies listed.

• Status: First Draft.
• Active Development: False.
• Init Date: 27/11/2017
• Citation: Andrew Neudegg, 27/11/2017.
• Project Version: 0.0.0.
• Project Revision: 1.
• Documentation Version: 0.0.0.
• Documentation Revision: 1.

• Automates python package virtualenv to create virtual environments.
• Packaged for pypi.
• Includes testing.
• Compatibility support testing (currently the project has only been tested on Win64 Python3).

This plugin was inspired by the Flask plugin system, where code is just attatched at the head of the running script. Therefore, to get your code to run inside a new or existing venv you need only:

# Imports.
from venv_easy import venv
# Declare Object.
env = venv()
# Init Object.
env._init_app(app=__name__, path=path)

This will create or load the venv and then continue executing your code. Alternatively, you can use following pattern:

# Imports.
from venv_easy import venv
# Declare and init object.
env = venv(app=__name__, refresh_env=False, requirements=['django'], path=path)

There are three optional arguments, one mandatory argument.

app= # MANDATORY: Can be set to any value, but allows expansion into domain specific areas (ie. Flask).

refresh_env= # OPTIONAL: Asserts whether or not to delete and re-create this virtual environment. Defualts to false.

requirements= # OPTIONAL: Asserts dependancies to install when using a venv, this parameter is checked on every start. It can be set to a file, or a depenancy list (ie. ['Django', 'Flask', 'etc']). It uses pip for installation.

path= # OPTIONAL: Asserts where the environment should be created / implemented, defualts to the current active directory.

This project could use support in implementing cross-platform tests and general quality improvement. If you have any reccomendations or improvements please open a bug, or submit a pull request.