Configuring conda-forge.yml
You can configure how conda-forge is set up and built via the conda-forge.yml
file that is present in the root directory of a feedstock.
Rerendering the feedstock after you modify this file is usually required and always a good idea (see Rerendering feedstocks).
The next section describes in detail the top-level fields in conda-forge.yml
.
conda-forge.yml schema
- appveyor
- azure
- bot
- build_platform
- build_with_mambabuild
- channel_priority
- choco
- circle
- clone_depth
- compiler_stack
- conda_build
- conda_build_tool
- conda_forge_output_validation
- conda_install_tool
- conda_solver
- config_version
- docker
- drone
- exclusive_config_file
- github
- github_actions
- idle_timeout_minutes
- matrix
- max_py_ver
- max_r_ver
- min_py_ver
- min_r_ver
- noarch_platforms
- os_version
- package
- private_upload
- provider
- recipe_dir
- remote_ci_setup
- secrets
- shellcheck
- skip_render
- templates
- test
- test_on_native_only
- travis
- upload_on_branch
- woodpecker
This model describes in detail the top-level fields in conda-forge.yml
.
General configuration options are described below within the Fields
specifications. Additional examples are provided as part of the object
description. Values and options are subject to change, and will be
flagged as Deprecated as appropriate.
appveyor
AppVeyor CI settings. This is usually read-only and should not normally be manually modified. Tools like conda-smithy may modify this, as needed.
azure
Azure Pipelines CI settings. This is usually read-only and should not normally be manually modified. Tools like conda-smithy may modify this, as needed. For example:
azure:
# flag for forcing the building all supported providers
force: False
# toggle for storing the conda build_artifacts directory (including the
# built packages) as an Azure pipeline artifact that can be downloaded
store_build_artifacts: False
# toggle for freeing up some extra space on the default Azure Pipelines
# linux image before running the Docker container for building
free_disk_space: False
# limit the amount of CI jobs running concurrently at a given time
# each OS will get its proportional share of the configured value
max_parallel: 25
Below is an example configuration for setting up a self-hosted Azure agent for Linux:
azure:
settings_linux:
pool:
name: your_local_pool_name
demands:
- some_key -equals some_value
workspace:
clean: all
strategy:
maxParallel: 1
Below is an example configuration for adding a swapfile on an Azure agent for Linux:
azure:
settings_linux:
swapfile_size: 10GiB
bot
This dictates the behavior of the conda-forge auto-tick bot which issues automatic version updates/migrations for feedstocks. A valid example is:
bot:
# can the bot automerge PRs it makes on this feedstock
automerge: true
# only automerge on successful version PRs, migrations are not automerged
automerge: 'version'
# only automerge on successful migration PRs, versions are not automerged
automerge: 'migration'
# only open PRs if resulting environment is solvable, useful for tightly coupled packages
check_solvable: true
# The bot.inspection key in the conda-forge.yml can have one of seven possible values and controls
# the bots behaviour for automatic dependency updates:
inspection: hint # generate hints using source code (backwards compatible)
inspection: hint-all # generate hints using all methods
inspection: hint-source # generate hints using only source code
inspection: hint-grayskull # generate hints using only grayskull
inspection: update-all # update recipe using all methods
inspection: update-source # update recipe using only source code
inspection: update-grayskull # update recipe using only grayskull
inspection: disabled # don't update recipe, don't generate hints
# any branches listed in this section will get bot migration PRs in addition
# to the default branch
abi_migration_branches:
- 'v1.10.x'
version_updates:
# use this for packages that are updated too frequently
random_fraction_to_keep: 0.1 # keeps 10% of versions at random
exclude:
- '08.14'
The abi_migration_branches
feature is useful to, for example, add a
long-term support (LTS) branch for a package.
build_platform
This is a mapping from the target platform to the build platform for the
package to be built. For example, the following builds a osx-64
package
on the linux-64
build platform using cross-compiling.
build_platform:
osx_64: linux_64
Leaving this field empty implicitly requests to build a package natively. i.e.
build_platform:
linux_64: linux_64
linux_ppc64le: linux_ppc64le
linux_aarch64: linux_aarch64
osx_64: osx_64
osx_arm64: osx_arm64
win_64: win_64
build_with_mambabuild
Deprecated
build_with_mambabuild is deprecated, use conda_build_tool
instead.
channel_priority
The channel priority level for the conda solver during feedstock builds. For extra information, see the Strict channel priority section on conda documentation.
choco
This parameter allows for conda-smithy to run chocoloatey installs on Windows when additional system packages are needed. This is a list of strings that represent package names and any additional parameters. For example,
choco:
# install a package
- nvidia-display-driver
# install a package with a specific version
- cuda --version=11.0.3
This is currently only implemented for Azure Pipelines. The command that is run is
choco install {entry} -fdv -y --debug
. That is, choco install
is executed
with a standard set of additional flags that are useful on CI.
circle
Circle CI settings. This is usually read-only and should not normally be manually modified. Tools like conda-smithy may modify this, as needed.
clone_depth
The depth of the git clone.
compiler_stack
Deprecated
Compiler stack environment variable. This is used to specify the compiler stack to use for builds. Deprecated.
compiler_stack: comp7
conda_build
Settings in this block are used to control how conda build
runs and produces artifacts. An example of the such configuration is:
conda_build:
pkg_format: 2
zstd_compression_level: 16
error_overlinking: False
conda_build_tool
Use this option to choose which tool is used to build your recipe.
conda_forge_output_validation
This field must be set to True
for feedstocks in the conda-forge
GitHub
organization. It enables the required feedstock artifact validation as described
in Output Validation and Feedstock Tokens.
conda_install_tool
Use this option to choose which tool is used to provision the tooling in your feedstock.
conda_solver
Choose which conda
solver plugin to use for feedstock builds.
config_version
The conda-smithy config version to be used for conda_build_config.yaml files in recipe and conda-forge-pinning. This should not be manually modified.
docker
This is a mapping for Docker-specific configuration options. Some options are
docker:
executable: docker
command: "bash"
drone
Drone CI settings. This is usually read-only and should not normally be manually modified. Tools like conda-smithy may modify this, as needed.
exclusive_config_file
Exclusive conda-build config file to replace conda-forge-pinning
.
For advanced usage only.
github
Mapping for GitHub-specific configuration options. The defaults are as follows:
github:
user_or_org: conda-forge
repo_name: "my_repo"
branch_name: main
tooling_branch_name: main
github_actions
GitHub Actions CI settings. This is usually read-only and should not normally be manually modified. Tools like conda-smithy may modify this, as needed.
idle_timeout_minutes
Configurable idle timeout. Used for packages that don't have chatty enough builds. Applicable only to circleci and travis.
idle_timeout_minutes: 60
matrix
Deprecated
Build matrices were used to specify a set of build configurations to run for each
package pinned dependency. This has been deprecated in favor of the provider
field.
More information can be found in the
Build Matrices section of the
conda-forge docs.
max_py_ver
Deprecated
Maximum Python version. This is used to specify the maximum Python version to use for builds. Deprecated.
max_py_ver: 37
max_r_ver
Deprecated
Maximum R version. This is used to specify the maximum R version to use for builds. Deprecated.
max_r_ver: 34
min_py_ver
Deprecated
Minimum Python version. This is used to specify the minimum Python version to use for builds. Deprecated.
min_py_ver: 27
min_r_ver
Deprecated
Minimum R version. This is used to specify the minimum R version to use for builds. Deprecated.
min_r_ver: 34
noarch_platforms
Platforms on which to build noarch packages. The preferred default is a
single build on linux_64
.
noarch_platforms: linux_64
To build on multiple platforms, e.g. for simple packages with platform-specific dependencies, provide a list.
noarch_platforms:
- linux_64
- win_64
os_version
This key is used to set the OS versions for linux_*
platforms. Valid entries
map a linux platform and arch to either cos6
or cos7
.
Currently cos6
is the default for linux-64
.
All other linux architectures use CentOS 7.
Here is an example that enables CentOS 7 on linux-64
builds
os_version:
linux_64: cos7
package
Default location for a package feedstock directory basename.
private_upload
Whether to upload to a private channel.
private_upload: False
provider
The provider
field is a mapping from build platform (not target platform)
to CI service. It determines which service handles each build platform.
If a desired build platform is not available with a selected provider
(either natively or with emulation), the build will be disabled.
Use the build_platform
field to manually specify cross-compilation when
no providers offer a desired build platform.
The following are available as supported build platforms:
linux_64
osx_64
win_64
linux_aarch64
linux_ppc64le
linux_s390x
linux_armv7l
The following CI services are available:
azure
circle
travis
appveyor
None
orFalse
to disable a build platform.default
to choose an appropriate CI (only if available)native
to choose an appropriate CI for native compiling (only if available)emulated
to choose an appropriate CI for compiling inside an emulation of the target platform (only if available)
For example, switching linux_64 & osx_64 to build on Travis CI, with win_64 on Appveyor:
provider:
linux_64: travis
osx_64: travis
win_64: appveyor
Currently, x86_64 platforms are enabled, but other build platforms are disabled by default. i.e. an empty provider entry is equivalent to the following:
provider:
linux_64: azure
osx_64: azure
win_64: azure
linux_ppc64le: None
linux_aarch64: None
To enable linux_ppc64le
and linux_aarch64
add the following:
provider:
linux_ppc64le: default
linux_aarch64: default
recipe_dir
The relative path to the recipe directory. The default is:
recipe_dir: recipe
remote_ci_setup
This option can be used to override the default conda-forge-ci-setup
package.
Can be given with ${url or channel_alias}::package_name
,
defaults to conda-forge channel_alias if no prefix is given.
remote_ci_setup: ["conda-forge-ci-setup=4", "conda-build>=24.1"]
secrets
List of secrets to be used in GitHub Actions. The default is an empty list and will not be used.
shellcheck
Shell scripts used for builds or activation scripts can be linted with shellcheck. This option can be used to enable shellcheck and configure its behavior. This is not enabled by default, but can be enabled like so:
shellcheck:
enabled: True
skip_render
This option specifies a list of files which conda smithy
will skip rendering.
This is useful for files that are not templates, but are still in the recipe
directory. The default value is an empty list []
, which will consider that
all files can be rendered. For example, if you want to skip rendering
the .gitignore
and LICENSE.txt
files, you can add the following:
skip_render:
- .gitignore
- LICENSE.txt
templates
This is mostly an internal field for specifying where template files reside. You shouldn't need to modify it.
test
This is used to configure on which platforms a recipe is tested.
test: native_and_emulated
Will do testing only if the platform is native or if there is an emulator.
test: native
Will do testing only if the platform is native.
test_on_native_only
Deprecated
This was used for disabling testing for cross-compiling.
travis
Travis CI settings. This is usually read-only and should not normally be manually modified. Tools like conda-smithy may modify this, as needed.
upload_on_branch
This parameter restricts uploading access on work from certain branches of the
same repo. Only the branch listed in upload_on_branch
will trigger uploading
of packages to the target channel. The default is to skip this check if the key
upload_on_branch
is not in conda-forge.yml
. To restrict uploads to the
main branch:
upload_on_branch: main
woodpecker
Woodpecker CI settings. This is usually read-only and should not normally be manually modified. Tools like conda-smithy may modify this, as needed.