Setup Miniconda

This action sets up a Miniconda installation to use the Conda package and environment manager by either locating the Miniconda installation bundled with the available runners or by installing a specific Miniconda3 version. By default this action will also create a test environment.

Miniconda condabin/ folder is added to PATH and conda is correctly initialized across all platforms.

This action correctly handles activation of conda environments and offers the possibility of automatically activating the test environment on all shells.

See the IMPORTANT notes on additional information on environment activation.

Usage examples

For a full list of available inputs for this action see action.yml.

Example 1: Basic usage

This example shows how to set a basic python workflow with conda using the crossplatform available shells: bash and pwsh. On this example an environment named test will be created with the specific python-version installed for each opearating system, resulting on 6 build workers.

jobs:
  example-1:
    name: Ex1 (${{ matrix.python-version }}, ${{ matrix.os }})
    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false
      matrix:
        os: ["ubuntu-latest", "macos-latest", "windows-latest"]
        python-version: ["3.7", "2.7"]
    steps:
      - uses: goanpeca/setup-miniconda@v1
        with:
          auto-update-conda: true
          python-version: ${{ matrix.python-version }}
      - name: Conda info
        shell: bash -l {0}
        run: conda info
      - name: Conda list
        shell: pwsh
        run: conda list

Example 2: Other shells

This example shows how to use all other available shells for specific operating systems. On this example we select to download the latest anaconda version available and create and activate by default an environment named foo.

jobs:
  example-2-linux:
    name: Ex2 Linux
    runs-on: "ubuntu-latest"
    steps:
      - uses: goanpeca/setup-miniconda@v1
        with:
          miniconda-version: "latest"
          activate-environment: foo
      - name: Bash
        shell: bash -l {0}
        run: |
          conda info
          conda list
      - name: PowerShell Core
        shell: pwsh
        run: |
          conda info
          conda list

  example-2-mac:
    name: Ex2 Mac
    runs-on: "macos-latest"
    steps:
      - uses: goanpeca/setup-miniconda@v1
        with:
          miniconda-version: "latest"
          activate-environment: foo
      - name: Sh
        shell: sh -l {0}
        run: |
          conda info
          conda list
      - name: Bash
        shell: bash -l {0}
        run: |
          conda info
          conda list
      - name: PowerShell Core
        shell: pwsh
        run: |
          conda info
          conda list

  example-2-win:
    name: Ex2 Windows
    runs-on: "windows-latest"
    steps:
      - uses: goanpeca/setup-miniconda@v1
        with:
          miniconda-version: "latest"
          activate-environment: foo
      - name: Bash
        shell: bash -l {0}
        run: |
          conda info
          conda list
      - name: PowerShell
        shell: powershell
        run: |
          conda info
          conda list
      - name: PowerShell Core
        shell: pwsh
        run: |
          conda info
          conda list
      - name: Cmd.exe
        shell: cmd /C CALL {0}
        run: >-
          conda info &&
          conda list

Example 3: Other options

This example shows how to use environment.yml for easier creation of test/build environments and .condarc files for fine grained configuration management. On this example we use a custom configuration file, install an environment from a yaml file and disable autoactivating the base environment before activating the anaconda-client-env.

jobs:
  example-3:
    name: Ex3 Linux
    runs-on: "ubuntu-latest"
    steps:
      - uses: actions/checkout@v2
      - uses: goanpeca/setup-miniconda@v1
        with:
          activate-environment: anaconda-client-env
          environment-file: etc/example-environment.yml
          python-version: 3.5
          condarc-file: etc/example-condarc.yml
          auto-activate-base: false
      - shell: bash -l {0}
        run: |
          conda info
          conda list

Example 4: Conda options

This example shows how to use channels option and other extra options. The priority will be set by the order of the channels. In this example it will result in:

• conda-forge
• spyder-ide
• defaults

jobs:
  example-4:
    name: Ex4 Linux
    runs-on: "ubuntu-latest"
    steps:
      - uses: actions/checkout@v2
      - uses: goanpeca/setup-miniconda@v1
        with:
          activate-environment: foo
          python-version: 3.6
          channels: conda-forge,spyder-ide
          allow-softlinks: true
          channel-priority: flexible
          show-channel-urls: true
          use-only-tar-bz2: true
      - shell: bash -l {0}
        run: |
          conda info
          conda list
          conda config --show-sources
          conda config --show

Example 5: Custom installer

Any installer created with constructor which includes conda can be used in place of Miniconda. For example, conda-forge maintains additional builds of miniforge for platforms not yet supported by Miniconda.

jobs:
  example-5:
    name: Ex5 Miniforge for PyPy
    runs-on: "ubuntu-latest"
    steps:
      - uses: actions/checkout@v2
      - uses: goanpeca/setup-miniconda@v1
        with:
          installer-url: https://github.com/conda-forge/miniforge/releases/download/4.8.3-2/Miniforge-pypy3-4.8.3-2-Linux-x86_64.sh
          allow-softlinks: true
          show-channel-urls: true
          use-only-tar-bz2: true
      - shell: bash -l {0}
        run: |
          conda info
          conda list
          conda config --show-sources
          conda config --show

Example 6: Mamba

Experimental! Use mamba to handle conda installs in a faster way. mamba-version accepts a version string x.y (including "*"). It requires you specify conda-forge as part of the channels, ideally with the highest priority.

jobs:
  example-6:
    name: Ex6 Mamba
    runs-on: "ubuntu-latest"
    steps:
      - uses: actions/checkout@v2
      - uses: ./
        with:
          python-version: 3.6
          mamba-version: "*"
          channels: conda-forge,defaults
          channel-priority: true
          activate-environment: anaconda-client-env
          environment-file: etc/example-environment.yml
      - shell: bash -l {0}
        run: |
          conda info
          conda list
          conda config --show-sources
          conda config --show
          printenv | sort
      - shell: bash -l {0}
        run: mamba install jupyterlab

Caching

If you want to enable package caching for conda you can use the cache action using ~/conda_pkgs_dir as path for conda packages.

The cache will use a explicit key for restoring and saving the cache.

This can be based in the contents of files like:

• setup.py
• requirements.txt
• environment.yml

jobs:
  caching-example:
    name: Caching
    runs-on: "ubuntu-latest"
    steps:
      - uses: actions/checkout@v2
      - name: Cache conda
        uses: actions/cache@v1
        env:
          # Increase this value to reset cache if etc/example-environment.yml has not changed
          CACHE_NUMBER: 0
        with:
          path: ~/conda_pkgs_dir
          key: ${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-${{ hashFiles('etc/example-environment.yml') }}
      - uses: goanpeca/setup-miniconda@v1
        with:
          activate-environment: anaconda-client-env
          python-version: 3.8
          channel-priority: strict
          environment-file: etc/example-environment.yml
          use-only-tar-bz2: true # IMPORTANT: This needs to be set for caching to work properly!

IMPORTANT

• Bash shells do not use ~/.profile or ~/.bashrc so these shells need to be explicitely declared as shell: bash -l {0} on steps that need to be properly activated. This is because bash shells are executed with bash --noprofile --norc -eo pipefail {0} thus ignoring updated on bash profile files made by conda init bash. See Github Actions Documentation and thread.
• Sh shells do not use ~/.profile or ~/.bashrc so these shells need to be explicitely declared as shell: sh -l {0} on steps that need to be properly activated. This is because sh shells are executed with sh -e {0} thus ignoring updated on bash profile files made by conda init bash. See Github Actions Documentation.
• Cmd shells do not run Autorun commands so these shells need to be explicitely declared as shell: cmd /C call {0} on steps that need to be properly activated. This is because cmd shells are executed with %ComSpec% /D /E:ON /V:OFF /S /C "CALL "{0}"" and the /D flag disabled execution of Command Processor/Autorun windows registry keys, which is what conda init cmd.exe sets. See Github Actions Documentation.
• For caching to work properly, you will need to set the use-only-tar-bz2 option to true.
• Some options (e.g. use-only-tar-bz2) are not available on the default conda installed on Windows VMs, be sure to use auto-update-conda or provide a version of conda compatible with the option.
• If you plan to use a environment.yaml file to set up the environment, the action will read the channelslisted in the key (if found). If you provide the channels input in the action they must not conflict with what was defined in environment.yaml, otherwise the conda solver might find conflicts and result in very long install times.
• Conda activation does not correctly work on sh. Please use `bash.

License

The scripts and documentation in this project are released under the MIT License