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github.com/conda-forge/conda-smithy @v2026.6.14

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README

Overview

conda-smithy is a tool for combining a conda recipe with configurations to build using freely hosted CI services into a single repository, also known as a feedstock. conda-smithy is still a work-in-progress, but when complete, conda-smithy will:

  • Create a git repo with a conda recipe and the files to run conda builds via CI services.
  • Register the repo on github and push it.
  • Connect the repo to the CI services travis-ci.com, appveyor.com, circleci.com, dev.azure.com (For travis-ci.com, configure your org or user to enable the service for all repos)

tests Coverage Status Ruff Code style: black

Installation

The easiest way to install conda-smithy is to use conda and conda-forge:

conda install -n root -c conda-forge conda-smithy

To install conda-smithy from source, see the requirements file in requirements.txt, clone this repo, and python -m pip install ..

Setup

You need a token from github, travis-ci.com, appveyor.com and circleci.com to try out conda-smithy. The commands which need this will tell you where to get these tokens and where to place them. If you need help getting tokens please ask on the conda-forge google group.

You should be able to test parts of conda-smithy with whatever tokens you have. For example, you should be able to conda smithy register-github without the CI service tokens. Re-rendering an existing feedstock is also possible without CI service tokens set.

Re-rendering an existing feedstock

Periodically feedstocks need to be upgraded to include new features. To do this we use conda-smithy to go through a process called re-rendering. Make sure you have installed conda-smithy before proceeding. Re-rendering an existing feedstock is possible without CI service tokens set.

  1. cd <feedstock directory>
  2. conda smithy rerender [--commit]
  3. Commit and push all changes

Optionally one can commit the changes automatically with conda-smithy version 1.4.1+. To do this just use the --commit/-c option. By default this will open an editor to make a commit. It will provide a default commit message and show the changes to be added. If you wish to do this automatically, please just use --commit auto/-c auto and it will use the stock commit message.

Making a new feedstock

  1. Make the feedstock repo: conda smithy init <directory_of_conda_recipe>. For a recipe called foo, this creates a directory called foo-feedstock, populates it with CI setup skeletons, adds the recipe under recipe and initializes it as a git repo.

  2. Create a github repo: conda smithy register-github --organization conda-forge ./foo-feedstock. This requires a github token. You can try it out with a github user account instead of an organization by replacing the organization argument with --user github_user_name. If you are interested in adding teams for your feedstocks, you can provide the --add-teams option to create them. This can be done when creating the feedstock or after.

  3. Register the feedstock with CI services: conda smithy register-ci --organization conda-forge --feedstock_directory ./foo-feedstock. This requires tokens for the CI services. You can give the name of a user instead of organization with --user github_user_name. By default this command requires an Anaconda/Binstar token to be available in ~/.conda-smithy/anaconda.token, or as BINSTAR_TOKEN in the environment. This can be opted out of by specifying --without-anaconda-token, as such execpted package uploads will not be attempted.

    • For Azure, you will have to create a service connection with the same name as your github user or org https://dev.azure.com/YOUR_ORG/feedstock-builds/_settings/adminservices
    • For Azure builds, you will have to export the environment variable AZURE_ORG_OR_USER to point to your Azure org
    • If this is your first build on Azure, make sure to add Library Variable Group containing your BINSTAR_TOKEN for automated anaconda uploads.
  4. Specify the feedstock channel and label: Optionally, you can specify source channels and choose a channel to upload to in recipe/conda_build_config.yaml. ```yaml channel_sources:

    • mysourcechannel1,mysourcechannel2,conda-forge,defaults channel_targets:
    • target_channel target_label `` Default source channels areconda-forge,defaults. Default for channel targets isconda-forge main`.
  5. Specify your branding in the README.md: Optionally, you can specify the branding on the README.md file by adding the following the conda-forge.yml file: github: user_or_org: YOUR_GITHUB_USER_OR_ORG

  6. Re-render the feedstock: conda smithy rerender --feedstock_directory ./foo-feedstock

  7. Commit the changes: cd foo-feedstock && git commit, then push git push upstream master.

Running a build

When everything is configured you can trigger a build with a push to the feedstock repo on github.

Developing conda-smithy

To develop conda smithy, use your favortite conda-based environment manager and create an environment based on the environment.yml.

$ conda env create

Releasing conda-smithy

Before making a release, consult @conda-forge/core and wait some time for objections.

To release a new version of conda-smithy, you can use the rever release managment tool. Run rever in the root repo directory with the version number you want to release. For example,

$ rever 0.1.2

Deprecation policy

conda-smithy's API is defined as the collection of all reachable symbols whose fully qualified import path does not feature a leading underscore in any of its components. The API covers renames and, if callable, changes in signatures (argument and keyword argument names and types, plus the return types). The API also covers the command-line interface. Any other symbol may change at any time and has no guaranteed API.

All API changes must undergo a 60-day deprecation period, must be clearly indicated via a DeprecationWarning, and must have a news entry in the Deprecated section.

Conda-smithy in a nutshell

xkcd 1319: Automation

xkcd 1319: Automation

Core symbols most depended-on inside this repo

parse_variant
called by 47
conda_smithy/variant_algebra.py
variant_add
called by 36
conda_smithy/variant_algebra.py
_load_forge_config
called by 23
conda_smithy/configure_feedstock.py
read_feedstock_token
called by 19
conda_smithy/feedstock_tokens.py
get_section
called by 19
conda_smithy/linter/utils.py
get_yaml
called by 18
conda_smithy/utils.py
dump
called by 17
conda_smithy/linter/messages/base.py
filter_conditional_values
called by 16
conda_smithy/utils.py

Shape

Function 581
Method 175
Class 128
Route 26

Languages

Python100%

Modules by API surface

tests/test_lint_recipe.py161 symbols
conda_smithy/linter/messages/recipe.py86 symbols
tests/test_configure_feedstock.py81 symbols
conda_smithy/configure_feedstock.py72 symbols
conda_smithy/linter/lints.py41 symbols
conda_smithy/cli.py37 symbols
conda_smithy/ci_register.py35 symbols
tests/conftest.py27 symbols
conda_smithy/utils.py27 symbols
tests/test_feedstock_tokens.py24 symbols
conda_smithy/deprecations.py21 symbols
conda_smithy/schema.py19 symbols

For agents

$ claude mcp add conda-smithy \
  -- python -m otcore.mcp_server <graph>

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