conda_poetry_liaison

Make conda and poetry communicate

Installation • Example • Scripts • Development • Deploying • License

Do not use another package manager in a conda environment.

Many are given this advice, but we do this anyway. We want our conda-only packages with the awesome features of poetry. conda_poetry_liaison is a small collection of scripts to make this as painless and reproducible as possible.

Installation

You can install conda_poetry_liaison with conda

conda install -c conda-forge conda-poetry-liaison

Example

Create and activate a conda environment. For this example, we are creating an environment named sunshine.

conda create -y -n sunshine python=3.11 && conda activate sunshine

Install the following required packages.

conda install -y -c conda-forge poetry pre-commit tomli tomli-w conda-poetry-liaison

Install your desired packages; for example, suppose you want numpy, scipy, and matplotlib.

conda install -y -c conda-forge numpy scipy matplotlib

Update the tool.poetry.group.conda.dependencies group in your pyproject.toml with the cpl-deps script.

cpl-deps pyproject.toml --env_name sunshine

Cleanup your conda environment with cpl-clean before switching to using poetry exclusively.

cpl-clean --env_name sunshine

Now you are good to go! For example, you can run poetry install to install all poetry-managed PyPI packages in pyproject.toml.

Scripts

cpl-deps

The primary issue of using other package managers like pip and poetry inside a conda environment is that they will not communicate. If you install a package with conda, then install a different one in pip, conda will have no idea what has changed. So once you start using pip or poetry, you cannot use conda to install a package in that same environment.

This script will add all Python packages installed in the conda environment into the pyproject.toml file. Now, poetry will be aware of these packages during dependency solving.

usage: cpl-deps [-h] [--env_name [ENV_NAME]] [--env_path [ENV_PATH]] [--group_name [GROUP_NAME]] [toml_path]

Notify poetry of conda Python packages

positional arguments:
  toml_path             Path to TOML file

options:
  -h, --help            show this help message and exit
  --env_name [ENV_NAME]
                        Name of conda environment to probe
  --env_path [ENV_PATH]
                        Path of conda environment to probe
  --group_name [GROUP_NAME]
                        Name of poetry dependency group

cpl-clean

There seems to be a remnant of direct_url.json files from conda package installations that break poetry (as discussed here). One workaround is to delete these files in the conda environment directory before using poetry.

usage: cpl-clean [-h] [--env_name [ENV_NAME]] [--env_path [ENV_PATH]]

Clean up the conda environment for use with poetry

options:
  -h, --help            show this help message and exit
  --env_name [ENV_NAME]
                        Name of conda environment to probe
  --env_path [ENV_PATH]
                        Path of conda environment to probe

Development

Clone the GitHub repository.

git clone https://github.com/oasci/conda-poetry-liaison && cd conda-poetry-liaison

Install poetry if you do not have it.

make poetry-download

If you already have poetry installed, ensure you have poetry-dynamic-versioning.

poetry self add "poetry-dynamic-versioning[plugin]"

Run the following command to install all dependencies, this package, and pre-commits.

make refresh

Deploying

A note to maintainers.

We use bump-my-version to release a new version. This will create a git tag that is used by poetry-dynamic-version to generate version strings and update CHANGELOG.md.

For example, to bump the minor version, you would run the following command.

poetry run bump-my-version bump minor

After releasing a new version, you must push and include all tags.

git push --follow-tags

License

Code contained in this project is released under the MIT License as specified in LICENSE. This license grants you the freedom to use, modify, and distribute it as long as you include the original copyright notice in LICENSE and the following notice.

Portions of this code were incorporated and adapted with permission from conda-poetry-liaison by OASCI under the MIT License.