How to release conda-forge package

I already have a conda-forge feedstock. I want to release a new package version. How do I do that?

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I am new to conda-forge. How do I create a conda package?

Here, you will learn how to release a conda package distributed through the conda-forge channel in 10 to 15 minutes. This guide assumes you are familiar with a basic clone, fork, and pull request workflow on GitHub.

Overview

The process is divided into three steps:

  1. Prepare recipe: You will learn to prepare package information in a file called meta.yaml using our group’s scikit-package template. The file serves as a recipe for building your conda package. The recipe contains the package version, the source code, the dependencies, the license, etc.

  2. Upload the recipe: Once you have the meta.yaml generated, you will create a pull request the staged-recipe repository in the conda-forge repository here

  3. Recipe review: One of the community members of conda-forge will review your meta.yaml and provide feedback. Once the recipe is approved, you will have a package available for conda install automatically, and you will have your own designated feedstock repository that contains meta.yaml in https://github.com/conda-forge/<package-name>-feedstock.

1. Prepare conda package recipe in meta.yaml

To generate a package, we first need to generate a “recipe” for the package. The recipe contains the type of programming language, the package version, the source code, the dependencies, and license, etc. This recipe is stored in a file called meta.yaml.

Hence, in Step 1, we will generate meta.yaml using the Billinge group’s template. See https://github.com/conda-forge/diffpy.utils-feedstock/blob/main/recipe/meta.yaml as an example of a meta.yaml used in production.

If you are interested in learning more about each component within meta.yaml, read Appendix 1 located at the end of this document.

  1. Install scikit-package via pip install scikit-package and run package conda-forge

  2. Answer the following questions. Default values in parentheses are used if no value is provided.

github_org:

The GitHub organization name. For example, diffpy.

repo_name:

The name of the repository.

module_name:

The name of the module.

version:

The version of the package.

source:

Choose PyPI.

short_description:

The short description of the project.

full_description:

The full description of the project.

license_file:

The license file that is located in your project repository. i.e., LICENSE.rst.

maintainers:

You may have multiple maintainers sbillinge, bobleesj or just sbillinge.

build_requirements:

copy requirements/build.txt from the project repo. It should be empty for pure Python packages.

host_requirements:

Type python >=3.11, setuptools, setuptools-git-versioning >=2.0, pip from requirements/host.txt.

runtime_requirements:

Type the runtime dependencies from requirements/conda.txt.

testing_requirements:

Type the testing dependencies from requirements/test.txt.

Now, you have recipes/<package-name>/meta.yaml generated.

Important

1. Upload meta.yaml to conda-forge for initial review

  1. Fork https://github.com/conda-forge/staged-recipes and clone your forked repository

  2. cd into staged-recipes

  3. Create recipes/<package-name>/meta.yaml Ex) recipes/diffpy.srreal/meta.yaml

  4. Copy and paste the content of meta.yaml from Step 1.

  5. Create a new branch: git checkout -b <project_name>

  6. Add and commit the changes: git add . && git commit -m "Committing recipe for conda-forge release of <project_name>"

  7. Push the changes: git push -u origin <project_name>

  8. Visit https://github.com/conda-forge/staged-recipes and create a PR.

  9. Read through the pre-filled text in the PR message and follow the instructions.

  10. After the CI passes, create a new comment: @conda-forge/help-python Hello Team, ready for review!

3. Wait for recipe review

  1. Wait for a conda-forge volunteer reviewer to review your submission. It may take up to one week.

  2. Once the PR is merged by the reviewer (1) your package is available on conda-forge, and (2) a new repository will be created under https://github.com/conda-forge/package-name-feedstock/. Example: https://github.com/conda-forge/diffpy.structure-feedstock.

Use the conda-forge feedstock to release a new version

We release a new package once we have the version and SHA256 sections in meta.yaml in https://github.com/conda-forge/<package-name>-feedstock located in the main branch. The conda-forge team asks to only modify meta.yaml.

First, we will copy the SHA256 value from pypi.org:

  1. Visit the project on PyPI at https://pypi.org/project/<package-name>

  2. Click Download files under Navigation

  3. Click view hashes under Source Distribution

  4. Copy the SHA256 value

  5. Create a PR to the feedstock repository.

  6. If you haven’t, fork and clone the forked feedstock repository.

  7. Run git checkout main && git pull upstream main to sync with the main branch.

  8. Run git checkout -b <version-number> to create a new branch.

  9. Open recipe/meta.yaml, modify set version and sha256.

  10. Run git add recipe/meta.yaml && git commit -m "release: ready for <version-number>".

  11. Run git push --set-upstream origin <version-number>.

  12. Create a PR to main, complete the relevant checklists generated in the PR comment.

  13. Wait for the CI to pass and tag Project Owner for review.

  14. Once the PR is merged, in 20 to 30 minutes, verify the latest conda-forge package version from the README badge or by visiting https://anaconda.org/conda-forge/<package-name>. i.e.g, https://anaconda.org/conda-forge/diffpy.utils.

Appendix 1. How do I do pre-release?

Generate meta.yaml by following Step 1 and Step 2 under conda-forge: release for the first time above. Here are two differences required for pre-release:

  1. Create recipe/conda_build_config.yaml containing:

    channel_targets:
       - conda-forge <package-name>_rc
    

See an example here: https://github.com/conda-forge/diffpy.pdffit2-feedstock/blob/rc/recipe/conda_build_config.yaml

  1. Make a PR into rc instead of main. Re-render once the PR is created.

To install the pre-release build:

conda install -c conda-forge/label/<package-name>_rc -c conda-forge <package-name>

For more, read the documentation for pre-release: https://conda-forge.org/docs/maintainer/knowledge_base/#pre-release-builds

Appendix 2. Add a new admin to the conda-forge feedstock

Check whether you are an admin listed in the meta.yaml in the feedstock repository. Create an issue with the title/comment: @conda-forge-admin, please add user @username. Please see an example issue here.

Appendix 3. Background info on meta.yml

The meta.yaml file contains information about dependencies, the package version, the license, the documentation link, and the maintainer(s) of the package. In meta.yaml, there are 3 important keywords under the requirements section: build, host, and run that are used to specify dependencies.

  • build dependencies used for compiling but are not needed on the host where the package will be used. Examples include compilers, CMake, Make, pkg-config, etc.

  • host dependencies are required during the building of the package. Examples include setuptools, pip, etc.

  • run dependencies are required during runtime. Examples include matplotlib-base, numpy, etc.

To avoid any confusion, there is a separate YAML section called build above the requirements section. This section is for setting up the entire operating system.

For more information, please refer to the official documentation: https://conda-forge.org/docs/maintainer/adding_pkgs/#build-host-and-run