Activate conda environments in subshells
Project description
This is a small tool which can be used to activate conda environments. It is an alternative to using source activate <env> and instead uses a conda sub-command to spawn a new shell with the environment activated. Deactivating the environment is simply done by exiting this sub-shell. This is very similar to, and based on, the pew workon command from pew. One major advantage of this is that it does not depend on the shell you use nor does it interact with the shell at all. This means it is not restricted to bash and zsh.
Activating an environment simply looks like this:
$ conda create -n py26 python=2.6 ... $ conda info -e # conda environments: # py26 /home/flub/miniconda3/envs/py26 root * /home/flub/miniconda3 $ conda workon py26 Launching subshell in conda environment. Type "exit" or "Ctr-D" to return. (py26) $ conda info -e # conda environments: # py26 * /home/flub/miniconda3/envs/py26 root /home/flub/miniconda3 (py26) $ exit $ conda info -e # conda environments: # py26 /home/flub/miniconda3/envs/py26 root * /home/flub/miniconda3
Listing the available environments can be done using either conda workon -l|--list or using the standard conda env list or conda info -e|--envs.
Another feature is that it provides an easy throw-away temporary environment based on a package spec on the command line:
$ conda worktmp python=3.4 sphinx Fetching package metadata: .. Solving package specifications: . Package plan for installation in environment /tmp/tmp7ua0_le9/env: ... Proceed ([y]/n)? y ... Launching subshell in conda environment. Type "exit" or "Ctr-D" to return. $ conda info | grep default default environment : /tmp/tmp7ua0_le9/env $ exit $ conda info | grep default default environment : /home/flub/miniconda3 $
Likewise a temporary environment can be created from an environment.yml file:
$ conda worktmp -f path/to/environment.yml ... Launching subshell in conda environment. Type "exit" or "Ctr-D" to return.
If -f|--file is used without an argument this will look for environment.yml in the current directory. When using worktmp one can also directly invoke pip -e <path> by using the -e|--editable option. This is convenient to start developing on a package:
$ conda worktmp -f -e. ... Proceed ([y]/n)? y ... Running setup.py develop for foo Successfully installed foo Launching subshell in conda environment. Type "exit" or "Ctr-D" to return. $
Installation
The conda-workon command needs to be installed in the root conda environment.
Using pip
Ensure you have pip installed in the conda root environment using conda install pip. Then making sure to use this version of pip install conda-workon using:
$ pip install conda-workon
Using conda
The conda-forge project packages conda-workon so you can install it once you have added the conda-forge channels:
conda config --add channels conda-forge conda install conda-workon
Configuring the Prompt
The conda-workon command does not interfere with the shell at all, it simply starts a new sub-shell with a modified path. This means that by default the prompt of the shell will not indicate which conda environment you are using. However the currently activated conda environment is available in the CONDA_DEFAULT_ENV environment variable, which allows you to easily configure your shell as you prefer. A simple example using the fish shell is to include the following fragment in the fish_prompt function:
# Show the conda environment, calculate __fish_prompt_conda only once if set -q CONDA_DEFAULT_ENV if not set -q __fish_prompt_conda set -g __fish_prompt_conda (set_color --bold -b blue red)$CONDA_DEFAULT_ENV"$__fish_prompt_normal " end echo -n $__fish_prompt_conda end
Changelog
0.4
Split into two commands: conda-workon and conda-worktmp.
Implement listing using conda-workon -l|--list.
Add support for using environment.yml using conda-worktmp -f|--file.
Add support for directly calling pip -e <path> using conda-worktmp -e|--editable <path>.
0.3
Add a --use-local option to use together with --tmp. This will use conda create --use-local to create the environment.
Use the conda binary invoked rather then looking it up on the PATH.
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