Bash helpers for navigating and managing Python VirtualEnvs.
Project description
Envie is a set of shell utilities (in bash) aiming to increase your productivity when dealing with mundane Python virtual environment tasks, like creating, destroying, listing/discovering, and switching/activating environments.
Where Envie really shines is auto-discovery, auto-activation and auto-creation of virtual envs relevant to your project (or executable). It holds no assumptions on virtual env dir location in relation to your code, but works best if they’re near (nested, in level, or one level up).
Motivation
I like to keep my virtual environments close to source (especially in production). With hundreds of projects on disk, this enables me to keep environment dir names short and relevant to project (since a project can sometimes have several environments, e.g. dev, prod, test), and environments easier to maintain in general.
If you structure your files/projects in any of the ways depicted in Fig 1. below, you’ll find Envie particularly helpful.
work work /srv │ │ │ ├── plucky ├── jsonplus ├── production │ ├── env <-- │ ├── .git │ ├── website │ ├── plucky │ ├── django │ │ ├── pythonenv <-- │ ├── tests │ │ ├── env │ │ ├── var │ └── ... │ │ │ ├── dev <-- │ │ └── src │ │ │ │ └── prod <-- : : ├── .git ├── blog │ │ ├── tests : : └── ... │ ├── .env <-- │ │ │ ├── env <-- . . : ├── .git : : : ├── test_1.py : ├── _posts : : : └── ... . └── ... . . . (a) env in level with src (b) env nested under src (c) env one level above src Figure 1. Several ways to keep your environments local to the code.
Easy activation
To activate the closest virtual environment in vicinity, just type envie (Fig 1.a and 1.c):
~/work/plucky$ envie
Activated virtual environment at 'env'.
/srv/production/website/src$ envie
Activated virtual environment at '../pythonenv'.If several equally close environments are found (Fig 1.b), you’ll be prompted to select the exact env. But, you can avoid it with a cunning use of fuzzy-filtering, for example:
~/work/jsonplus$ envie dev
Activated virtual environment at 'django/env/dev'.Discovery and filtering have no limits on depth, so you can activate your project environment like:
~$ envie jsonplus dev
Activated virtual environment at 'work/jsonplus/django/env/dev'.Implicit activation
Sometimes you don’t care about activating the relevant environment in your shell. You just want your script to run in the correct env. Easy peasy (ref. Fig 1.b):
~/work/jsonplus$ envie ./django/tests/test_1.py
Activated virtual environment at 'django/tests/env'.
# running test ...It doesn’t have to be a Python script:
~/work/plucky$ envie run make test
Activated virtual environment at 'env'.
# running 'make' with python from envAnd it works from a hash bang too:
#!/usr/bin/env envieYou can even activate the closest environment after the fact, from your Python program (changing the environment from global to closest):
#!/usr/bin/python
import envie.activate_closestTerse & pip-infused create
Sure, you can use virtualenv --python=python3 --no-site-packages env, but isn’t this simpler?
$ envie create -3
# or, shorter:
$ mkenv3And how about also installing your pip requirements in one go?
$ mkenv -r dev-requirements.txt env/devOr, creating a temporary/throw-away environment with some packages installed, then hacking in an interactive Python session, and finally destroying the complete environment upon exit:
$ mkenv -t -p requests -p 'plucky>=0.4' && python && rmenv -fDetails and more examples are available in envie create, envie remove, and envie-tmp docs.
Discovery
Activation of the closest environment is predicated on the discovery of the existing virtual environments below a certain directory with lsenv (envie list), and on the up-the-tree search with findenv (envie find):
~/work$ lsenv
plucky/env
blog/.env
jsonplus/django/env/dev
...Install & configure
For convenience, envie is packaged and distributed as a Python package. You can install it system-wide with: (for user-local / source install, see Install in docs):
$ sudo pip install envie
$ envie config
# start clean:
$ . ~/.bashrc
# or, open a new shellAfter install, be sure to run a (short and interactive) configuration procedure with envie config. If in doubt, go with the defaults. Running config is optional, but it will allow you to add Envie sourcing statement to .bashrc (enabling Bash completion and alias functions), and to enable environments indexing (faster search with locate).
Enable index
By default, envie uses the find command to search for environments. That approach is pretty fast when searching shallow trees. However, if you have a deeper directory trees, it’s often faster to use a pre-built directory index (i.e. the locate command). To enable a combined locate/find approach to search, run envie config.
When index is enabled, the combined approach is used by default (if not overriden with -f or -l switches). In the combined approach, if find doesn’t finish within 400ms, search via find is aborted and locate is allowed to finish (faster).
Testing
Run all test suites locally with:
$ make test
(after cloning the repo.)
Usage in short
- envie [-1] [-f|-l] [<basedir>] [<keywords>] (alias chenv)
Interactively activate the closest environment (looking down, then up, with findenv), optionally filtered by a list of <keywords>. Start looking in <basedir> (defaults to .).
- envie create [-2|-3|-e <pyexec>] [-r <pip_req>] [-p <pip_pkg>] [-a] [<envdir> | -t] (alias mkenv)
Create virtual environment in <envdir> (or in a temporary dir, -t) based on a Python interpreter <pyexec>, optionally installing Pip requirements from <pip_req> file, and/or <pip_pkg> requirement specifier(s).
- envie remove (alias rmenv)
Destroy the active environment.
- envie list [-f|-l] [<dir>] [<keywords>] (alias lsenv)
List all environments below <dir> directory, optionally filtered with a list of <keywords>.
- envie find [-f|-l] [<dir>] [<keywords>] (alias findenv)
Find the closest environments by first looking down and then dir-by-dir up the tree, starting in <dir>; optionally filtered with a list of <keywords>.
- envie <script>, envie python <script>
Run Python script in the closest virtual environment.
- envie run <command>
Execute arbitrary command/builtin/file/alias/function in the closest virtual environment.
- envie-tmp <script>
Create a new temporary (throw-away) virtual environment, install requirements specified inside the <script> file, run the <script>, and destroy the environment afterwards.
- envie config
Interactively configure Envie.
- envie index
(Re-)index virtual environments (for faster searches with locate).
- envie help
Print usage help. For details on a specific command use the -h switch (like envie find -h, or mkenv -h).
Documentation
Documentation is hosted by ReadTheDocs, latest version being available at envie.rtfd.io.
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