💻VIEN is a command-line tool for managing Python Virtual Environments.

Overview

PyPI version shields.io Generic badge Generic badge

vien

VIEN is a command-line tool for managing Python Virtual Environments.

It provides one-line shortcuts for:

  • creating and deleting environments
  • running commands inside environments
  • switching between environments in bash shell

Switching between projects should be simple. Creating environments for the projects should be simple too.

Ideally it's a short command that I would type even half asleep.

Something like

$ vien create 
$ vien shell

Not like

$ python3 -m venv ./where/to/put/this/.venv
$ source /i/lost/that/.venv/bin/activate
Ready-made solutions did not help.
  • pipenv kind of solved the problem, but brought new challenges unrelated to virtual environments
  • virtualenvwrapper name is easier to copy-paste than to type. And its commands are too

So there is the vien. A tool for a half asleep developer.

Install

vien requires Python 3.7+ on Linux or macOS.

Get a working Python ≥3.7, pip3 and venv.

@ Ubuntu

$ sudo apt install -y python3 python3-pip python3-venv

@ macOS

$ brew install python3

Check it works

$ python3 --version             # python shows its version
$ python3 -m venv --help        # venv shows help message
$ pip3 install --upgrade pip    # pip upgrades itself

Then:

$ pip3 install vien

Make sure it installed:

$ vien      # shows help

Upgrade it later:

$ pip3 install vien --upgrade

Use

Example: interactive shell

$ cd /path/to/myProject
$ vien create
$ vien shell

Example: running commands

$ cd /path/to/myProject
$ vien create
$ vien run pip install --upgrade pip
$ vien run pip install requests lxml
$ vien call main.py

"create" command

vien create сreates a virtual environment that will correspond the project directory. Subsequent calls to vien with the same project directory will use the same virtual environment.

$ cd /abc/myProject
$ vien create 

By default, the current working directory is assumed to be the project directory. You can override this with -p argument.

$ vien -p /abc/myProject create 

The -p argument works with all commands, not only create.

$ cd /other/working/dir
$ vien -p /abc/myProject create
$ vien -p /abc/myProject shell

"create": choose the Python version

If you have several versions of Python installed, then virtual environments can help you switch not only between dependencies, but also between interpreters.

$ cd /abc/my_old_project
$ vien run python --version  # 3.7  

$ cd /abc/my_newer_project
$ vien run python --version  # 3.9 

A project directory can be bound to only one specific interpreter.

To indicate which interpreter to use with the project, provide an argument pointing the executable.

$ vien create /usr/local/opt/[email protected]/bin/python3

In many cases, a shorter command will also work. If the needed interpreter can be executed in the shell as python3.8, you can try

$ vien create python3.8

When create is called with no argument, vien will use the Python interpreter that is running vien itself. For example, if you used Python 3.9 to pip install vien, then it is the Python 3.9 runs vien, and this Python 3.9 will be used in the virtual environment.

"shell" command

vien shell starts interactive bash session in the virtual environment.

$ cd /path/to/myProject
$ vien shell

(myProject)$ _

Now you are inside the virtual environment.

(myProject)$ which python3             # now we are using separate copy of Python
(myProject)$ echo $PATH                # everything is slightly different

(myProject)$ pip3 install requests     # installs packages into virtual environment
(myProject)$ python3 use_requests.py   # runs inside the virtual environment

Get out of the virtual environment:

(myProject)$ exit

$ _

Now you're back.

With shell pipes, you can specify what the shell should execute right in the command line.

$ echo 'which python3 && echo $PATH' | vien shell

"run" command

vien run COMMAND runs a shell command in the virtual environment.

$ cd /path/to/myProject
$ vien run python3 use_requests.py arg1 arg2  # runs script in virtual environment
$ vien run pip3 install requests              # installs packages into virtual environment
is an equivalent to
$ cd /path/to/myProject

$ source /path/to/the/venv/bin/activate
$ python3 use_requests.py arg1 arg2
$ /path/to/the/venv/bin/deactivate

$ source /path/to/the/venv/bin/activate
$ pip3 install requests
$ /path/to/the/venv/bin/deactivate

"call" command

vien call PYFILE executes a .py script in the virtual environment.

"call": running file as a file

$ cd /abc/myProject
$ vien call pkg/module.py
  
# runs [python pkg/module.py]

"call": running file as a module

If the .py file name is preceded by the -m argument, we will run it with python -m MODULE. Running in this manner often simplifies importing other modules from the program.

$ cd /abc/myProject
$ vien call -m /abc/myProject/pkg/sub/module.py

# runs [python -m pkg.sub.module]
# project dir: /abc/myProject
# working dir: /abc/myProject
  • module.py must be located somewhere inside the /abc/myProject
  • parent subdirectories such as pkg and sub must be importable, i.e. must contain __init__.py
  • the project directory will be inserted into $PYTHONPATH, making pkg.sub.module resolvable from /abc/myProject to a file

The project directory can be specified not only by the working directory, but also by the -p argument.

The call command only accepts .py files, no module names.

# ERROR: there is no file named pkg.module
$ vien call -m pkg.module 

"call": passing arguments to Python and to the program

Arguments following the call command are passed to the python executable.

$ vien call -B -OO -m package/main.py arg1 arg2  

# runs [python -B -OO -m package.main arg1 arg2]

"call": project directory

The optional -p argument can be specified before the call word. It allows you to set the project directory relative to the parent directory of the file being run.

$ cd /far/away
$ vien -p /abc/myProject call -m /abc/myProject/pkg/sub/module.py

# runs [python -m pkg.sub.module]
# project dir: /abc/myProject
# working dir: /far/away
$ cd /far/away
$ vien -p ../.. call -m /abc/myProject/pkg/sub/module.py

# runs [python -m pkg.sub.module]
# project dir: /abc/myProject  (/abc/myProject/pkg/sub/../..)
# working dir: /far/away
$ cd /abc/myProject/pkg
$ vien -p ../.. call -m sub/module.py

# runs [python -m pkg.sub.module]
# project dir: /abc/myProject  (/abc/myProject/pkg/sub/../..)
# working dir: /abc/myProject/pkg

"delete" command

vien delete deletes the virtual environment.

$ cd /path/to/myProject
$ vien delete 

"recreate" command

vien recreate old and creates new virtual environment.

If you decided to start from scratch:

$ cd /path/to/myProject
$ vien recreate 

If you decided to change the Python version:

$ cd /path/to/myProject
$ vien recreate /usr/local/opt/[email protected]/bin/python3

--project-dir, -p

This option must appear after vien, but before the command.

vien -p /abc/myProject create ...
vien -p /abc/myProject run ...
vien -p /abc/myProject shell ...

If --project-dir is specified, it is the project directory.

If --project-dir is not specified, then all commands assume that the current working directory is the project directory.

The next two calls use the same project directory and the same virtual environment. However, the working directory is different.

cd /abc/myProject
vien run python3 /abc/myProject/main.py
cd /any/where
vien -p /abc/myProject run python3 /abc/myProject/main.py

If --project-dir is specified as a relative path, its interpretation depends on the command.

  • For the call command, this is a path relative to the parent directory of the .py file being run
  • For other commands, this is a path relative to the current working directory

Virtual environments location

By default, vien places virtual environments in the $HOME/.vien directory.

project dir virtual environment dir
/abc/thisProject $HOME/.vien/thisProject_venv
/abc/otherProject $HOME/.vien/otherProject_venv
/moved/to/otherProject $HOME/.vien/otherProject_venv

Only the local name of the project directory matters.

If you're not happy with the default, you can set the environment variable VIENDIR:

$ export VIENDIR="/x/y/z"

So for the project aaa the virtual environment will be located in /x/y/z/aaa_venv.

The _venv suffix tells the utility that this directory can be safely removed.

Shebang

On POSIX systems, you can make a .py file executable, with vien executing it inside a virtual environment.

Insert the shebang line to the top of the file you want to run. The value of the shebang depends on the location of the file relative to the project directory.

File Shebang line
myProject/runme.py #!/usr/bin/env vien -p . call -m
myProject/pkg/runme.py #!/usr/bin/env vien -p .. call -m
myProject/pkg/subpkg/runme.py #!/usr/bin/env vien -p ../.. call -m

After inserting the shebang, make the file executable:

$ chmod +x runme.py  

Now you can run the runme.py directly from command line. This will use the virtual environment associated with the myProject. The working directory can be anything.

# runs the runme.py in virtual environment for myProject

$ cd anywhere/somewhere
$ /abc/myProject/pkg/main.py   

Shell prompt

By default the vien shell adds a prefix to the $PS1 bash prompt.

user@host$ cd /abc/myProject
user@host$ vien shell

(myProject)user@host$ _

So you can see, which virtual environment you're using.

If you customized your PS1, it may not work as expected.

personalized:prompt> cd /abc/myProject
personalized:prompt> vien shell

(myProject)user@host$ _

It can be fixed by providing PS1 variable to vien like that:

personalized:prompt> cd /abc/myProject
personalized:prompt> PS1=$PS1 vien shell

(myProject)personalized:prompt> _

To avoid doing this each time, export your PS1 to make it available for subprocesses.

You might also like...
PwnWiki command line searching tool & bindings written in Python
PwnWiki command line searching tool & bindings written in Python

pwsearch PwnWiki 数据库搜索命令行工具。 安装 您可以直接用 pip 命令从 PyPI 安装 pwsearch: pip3 install -U pwsearch 您也可以 clone 该仓库并直接从源码启动

PyArmor is a command line tool used to obfuscate python scripts

PyArmor is a command line tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.

A command line tool (and Python library) for archiving Twitter JSON

A command line tool (and Python library) for archiving Twitter JSON

Unofficial Open Corporates CLI: OpenCorporates is a website that shares data on corporations under the copyleft Open Database License. This is an unofficial open corporates python command line tool.
Unofficial Open Corporates CLI: OpenCorporates is a website that shares data on corporations under the copyleft Open Database License. This is an unofficial open corporates python command line tool.

Unofficial Open Corporates CLI OpenCorporates is a website that shares data on corporations under the copyleft Open Database License. This is an unoff

Professor Wordlist is a free open source command line tool written in python

Professor Wordlist is a free open source command line tool written in python, With the aim of generating custom wordlists with a variety of unique parameters and functions providing many possibilities.

A simple command line tool written in python to manage a to-do list

A simple command line tool written in python to manage a to-do list Dependencies: python Commands: todolist (-a | --add) [(-p | --priority)] [(-l | --

A command line tool made in Python for the popular rhythm game
A command line tool made in Python for the popular rhythm game

osr!name A command line tool made in Python for the popular rhythm game "osu!" that changes the player name of a .osr file (replay file). Example: Not

spotifytools is a Python command line tool

spotifytools spotifytools is a Python command line tool Documentation The documentation is available on the following link Releases Instalation instru

Releases(8.1.4)
Notion-cli-list-manager - A simple command-line tool for managing Notion databases

A simple command-line tool for managing Notion List databases. ✨

Giacomo Salici 75 Dec 4, 2022
cmsis-pack-manager is a python module, Rust crate and command line utility for managing current device information that is stored in many CMSIS PACKs

cmsis-pack-manager cmsis-pack-manager is a python module, Rust crate and command line utility for managing current device information that is stored i

pyocd 20 Dec 21, 2022
Command-line program for organizing and managing ebook collections

Command-line program for organizing and managing ebook collections. It is a Python port from the original shell scripts ebook-tools

Raul 14 Nov 12, 2022
A command-line based, minimal torrent streaming client made using Python and Webtorrent-cli. Stream your favorite shows straight from the command line.

A command-line based, minimal torrent streaming client made using Python and Webtorrent-cli. Installation pip install -r requirements.txt It use

Jonardon Hazarika 17 Dec 11, 2022
Lsp Plugin for working with Python virtual environments

py_lsp.nvim What is py_lsp? py_lsp.nvim is a neovim plugin that helps with using the lsp feature for python development. It tackles the problem about

Patrick Haller 55 Dec 27, 2022
AML Command Transfer. A lightweight tool to transfer any command line to Azure Machine Learning Services

AML Command Transfer (ACT) ACT is a lightweight tool to transfer any command from the local machine to AML or ITP, both of which are Azure Machine Lea

Microsoft 11 Aug 10, 2022
A cd command that learns - easily navigate directories from the command line

NAME autojump - a faster way to navigate your filesystem DESCRIPTION autojump is a faster way to navigate your filesystem. It works by maintaining a d

William Ting 14.5k Jan 3, 2023
Ros command - Unifying the ROS command line tools

Unifying the ROS command line tools One impairment to ROS 2 adoption is that all

null 37 Dec 15, 2022
Proman is a simple tool for managing projects through cli.

proman proman is a project manager. It helps you manage your projects from a terminal. The features are listed below. Installation Step 1: Download or

Arjun Somvanshi 2 Dec 6, 2021
Python command line tool and python engine to label table fields and fields in data files.

Python command line tool and python engine to label table fields and fields in data files. It could help to find meaningful data in your tables and data files or to find Personal identifable information (PII).

APICrafter 22 Dec 5, 2022