setup-pixi 📦

GitHub Action to set up the pixi package manager.

Usage

- uses: prefix-dev/[email protected]
  with:
    pixi-version: v0.24.2
    cache: true
    auth-host: prefix.dev
    auth-token: ${{ secrets.PREFIX_DEV_TOKEN }}
- run: pixi run test

[!WARNING] Since pixi is not yet stable, the API of this action may change between minor versions. Please pin the versions of this action to a specific version (i.e., prefix-dev/[email protected]) to avoid breaking changes. You can automatically update the version of this action by using Dependabot.

Put the following in your .github/dependabot.yml file to enable Dependabot for your GitHub Actions:

version: 2
updates:
  - package-ecosystem: github-actions
    directory: /
    schedule:
      interval: monthly # or daily, weekly
    groups:
      dependencies:
        patterns:
          - '*'

Features

To see all available input arguments, see the action.yml file.

Caching

The action supports caching of the pixi environment. By default, caching is enabled if a pixi.lock file is present. It will then use the pixi.lock file to generate a hash of the environment and cache it. If the cache is hit, the action will skip the installation and use the cached environment. You can specify the behavior by setting the cache input argument.

If you need to customize your cache-key, you can use the cache-key input argument. This will be the prefix of the cache key. The full cache key will be <cache-key><conda-arch>-<hash>.

Only save caches on main

In order to not exceed the 10 GB cache size limit as fast, you might want to restrict when the cache is saved. This can be done by setting the cache-write argument.

- uses: prefix-dev/[email protected]
  with:
    cache: true
    cache-write: ${{ github.event_name == 'push' && github.ref_name == 'main' }}

Multiple environments

With pixi, you can create multiple environments for different requirements. You can also specify which environment(s) you want to install by setting the environments input argument. This will install all environments that are specified and cache them.

[project]
name = "my-package"
channels = ["conda-forge"]
platforms = ["linux-64"]

[dependencies]
python = ">=3.11"
pip = "*"
polars = ">=0.14.24,<0.21"

[feature.py311.dependencies]
python = "3.11.*"
[feature.py312.dependencies]
python = "3.12.*"

[environments]
py311 = ["py311"]
py312 = ["py312"]

Multiple environments using a matrix

The following example will install the py311 and py312 environments in different jobs.

test:
  runs-on: ubuntu-latest
  strategy:
    matrix:
      environment: [py311, py312]
  steps:
    - uses: actions/checkout@v4
    - uses: prefix-dev/[email protected]
      with:
        environments: ${{ matrix.environment }}

Install multiple environments in one job

The following example will install both the py311 and the py312 environment on the runner.

- uses: prefix-dev/[email protected]
  with:
    # separated by spaces
    environments: >-
      py311
      py312
- run: |
    pixi run -e py311 test
    pixi run -e py312 test

[!WARNING] If you don't specify any environment, the default environment will be installed and cached, even if you use other environments.

Authentication

There are currently three ways to authenticate with pixi:

• using a token
• using a username and password
• using a conda-token

For more information, see the pixi documentation.

[!WARNING] Please only store sensitive information using GitHub secrets. Do not store them in your repository. When your sensitive information is stored in a GitHub secret, you can access it using the ${{ secrets.SECRET_NAME }} syntax. These secrets will always be masked in the logs.

Token

Specify the token using the auth-token input argument. This form of authentication (bearer token in the request headers) is mainly used at prefix.dev.

- uses: prefix-dev/[email protected]
  with:
    auth-host: prefix.dev
    auth-token: ${{ secrets.PREFIX_DEV_TOKEN }}

Username and password

Specify the username and password using the auth-username and auth-password input arguments. This form of authentication (HTTP Basic Auth) is used in some enterprise environments with artifactory for example.

- uses: prefix-dev/[email protected]
  with:
    auth-host: custom-artifactory.com
    auth-username: ${{ secrets.PIXI_USERNAME }}
    auth-password: ${{ secrets.PIXI_PASSWORD }}

Conda-token

Specify the conda-token using the conda-token input argument. This form of authentication (token is encoded in URL: https://my-quetz-instance.com/t/<token>/get/custom-channel) is used at anaconda.org or with quetz instances.

- uses: prefix-dev/[email protected]
  with:
    auth-host: anaconda.org # or my-quetz-instance.com
    conda-token: ${{ secrets.CONDA_TOKEN }}

Custom shell wrapper

setup-pixi allows you to run command inside of the pixi environment by specifying a custom shell wrapper with shell: pixi run bash -e {0}. This can be useful if you want to run commands inside of the pixi environment, but don't want to use the pixi run command for each command.

- run: | # everything here will be run inside of the pixi environment
    python --version
    pip install --no-deps -e .
  shell: pixi run bash -e {0}

You can even run Python scripts like this:

- run: | # everything here will be run inside of the pixi environment
    import my_package
    print("Hello world!")
  shell: pixi run python {0}

If you want to use PowerShell, you need to specify -Command as well.

- run: | # everything here will be run inside of the pixi environment
    python --version | Select-String "3.11"
  shell: pixi run pwsh -Command {0} # pwsh works on all platforms

[!NOTE] Under the hood, the shell: xyz {0} option is implemented by creating a temporary script file and calling xyz with that script file as an argument. This file does not have the executable bit set, so you cannot use shell: pixi run {0} directly but instead have to use shell: pixi run bash {0}. There are some custom shells provided by GitHub that have slightly different behavior, see jobs.<job_id>.steps[*].shell in the documentation. See the official documentation and ADR 0277 for more information about how the shell: input works in GitHub Actions.

Environment activation

Instead of using a custom shell wrapper, you can also make all pixi-installed binaries available to subsequent steps by "activating" the installed environment in the currently running job. To this end, setup-pixi adds all environment variables set when executing pixi run to $GITHUB_ENV and, similarly, adds all path modifications to $GITHUB_PATH. As a result, all installed binaries can be accessed without having to call pixi run.

- uses: prefix-dev/[email protected]
  with:
    activate-environment: true

If you are installing multiple environments, you will need to specify the name of the environment that you want to be activated.

- uses: prefix-dev/[email protected]
  with:
    environments: >-
      py311
      py312
    activate-environment: py311

Activating an environment may be more useful than using a custom shell wrapper as it allows non-shell based steps to access binaries on the path. However, be aware that this option augments the environment of your job.

--frozen and --locked

You can specify whether setup-pixi should run pixi install --frozen or pixi install --locked depending on the frozen or the locked input argument. See the official documentation for more information about the --frozen and --locked flags.

- uses: prefix-dev/[email protected]
  with:
    locked: true
    # or
    frozen: true

If you don't specify anything, the default behavior is to run pixi install --locked if a pixi.lock file is present and pixi install otherwise.

Debugging

There are two types of debug logging that you can enable.

Debug logging of the action

The first one is the debug logging of the action itself. This can be enabled by running the action with the RUNNER_DEBUG environment variable set to true.

- uses: prefix-dev/[email protected]
  env:
    RUNNER_DEBUG: true

Alternatively, you can enable debug logging for the action by re-running the action in debug mode:

For more information about debug logging in GitHub Actions, see the official documentation.

Debug logging of pixi

The second type is the debug logging of the pixi executable. This can be specified by setting the log-level input.

- uses: prefix-dev/[email protected]
  with:
    # one of `q`, `default`, `v`, `vv`, or `vvv`.
    log-level: vvv

If nothing is specified, log-level will default to default or vv depending on if debug logging is enabled for the action.

Self-hosted runners

On self-hosted runners, it may happen that some files are persisted between jobs. This can lead to problems or secrets getting leaked between job runs. To avoid this, you can use the post-cleanup input to specify the post cleanup behavior of the action (i.e., what happens after all your commands have been executed).

If you set post-cleanup to true, the action will delete the following files:

• .pixi environment
• the pixi binary
• the rattler cache
• other rattler files in ~/.rattler

If nothing is specified, post-cleanup will default to true.

On self-hosted runners, you also might want to alter the default pixi install location to a temporary location. You can use pixi-bin-path: ${{ runner.temp }}/bin/pixi to do this.

- uses: prefix-dev/[email protected]
  with:
    post-cleanup: true
    # ${{ runner.temp }}\Scripts\pixi.exe on Windows
    pixi-bin-path: ${{ runner.temp }}/bin/pixi

You can also use a preinstalled local version of pixi on the runner by not setting any of the pixi-version, pixi-url or pixi-bin-path inputs. This action will then try to find a local version of pixi in the runner's PATH.

Using the pyproject.toml as a manifest file for pixi.

setup-pixi will automatically pick up the pyproject.toml if it contains a [tool.pixi.project] section and no pixi.toml. This can be overwritten by setting the manifest-path input argument.

- uses: prefix-dev/[email protected]
  with:
    manifest-path: pyproject.toml

More examples

If you want to see more examples, you can take a look at the GitHub Workflows of this repository.

Local Development

1. Clone this repository.
2. Run pnpm install inside the repository (if you don't have pnpm installed, you can install it with pixi global install pnpm).
3. Run pnpm dev for live transpilation of the TypeScript source code.
4. To test the action, you can run act (inside docker) or use :sparkles: CI driven development :sparkles:.