Rules

pip_repository

A rule for importing requirements.txt dependencies into Bazel.

This rule imports a requirements.txt file and generates a new requirements.bzl file. This is used via the WORKSPACE pattern:

pip_repository(
    name = "foo",
    requirements = ":requirements.txt",
)

You can then reference imported dependencies from your BUILD file with:

load("@foo//:requirements.bzl", "requirement")
py_library(
    name = "bar",
    ...
    deps = [
       "//my/other:dep",
       requirement("requests"),
       requirement("numpy"),
    ],
)

Or alternatively:

load("@foo//:requirements.bzl", "all_requirements")
py_binary(
    name = "baz",
    ...
    deps = [
       ":foo",
    ] + all_requirements,
)

Example usage (generated)

load("@rules_python//python/pip_install:pip_repository.bzl", "pip_repository")

pip_repository(
    # A unique name for this repository.
    name = "",
    # A dictionary from local repository name to global repository name
    repo_mapping = {},
)

name

A unique name for this repository.

annotations

Optional annotations to apply to packages

bzlmod

Whether this repository rule is invoked under bzlmod, in which case we do not create the install_deps() macro.

download_only

Whether to use "pip download" instead of "pip wheel". Disables building wheels from source, but allows use of --platform, --python-version, --implementation, and --abi in --extra_pip_args to download wheels for a different platform from the host platform.

enable_implicit_namespace_pkgs

If true, disables conversion of native namespace packages into pkg-util style namespace packages. When set all py_binary and py_test targets must specify either legacy_create_init=False or the global Bazel option --incompatible_default_to_explicit_init_py to prevent __init__.py being automatically generated in every directory.

This option is required to support some packages which cannot handle the conversion to pkg-util style.

environment

Environment variables to set in the pip subprocess. Can be used to set common variables such as http_proxy, https_proxy and no_proxy Note that pip is run with "--isolated" on the CLI so PIP__ style env vars are ignored, but env vars that control requests and urllib3 can be passed.

extra_pip_args

Extra arguments to pass on to pip. Must not contain spaces.

isolated

Whether or not to pass the --isolated flag to the underlying pip command. Alternatively, the RULES_PYTHON_PIP_ISOLATED enviornment varaible can be used to control this flag.

pip_data_exclude

Additional data exclusion parameters to add to the pip packages BUILD file.

python_interpreter

The python interpreter to use. This can either be an absolute path or the name of a binary found on the host's PATH environment variable. If no value is set python3 is defaulted for Unix systems and python.exe for Windows.

python_interpreter_target

If you are using a custom python interpreter built by another repository rule, use this attribute to specify its BUILD target. This allows pip_repository to invoke pip using the same interpreter as your toolchain. If set, takes precedence over python_interpreter.

quiet

If True, suppress printing stdout and stderr output to the terminal.

repo_mapping

A dictionary from local repository name to global repository name. This allows controls over workspace dependency resolution for dependencies of this repository.

For example, an entry "@foo": "@bar" declares that, for any time this repository depends on @foo (such as a dependency on @foo//some:target, it should actually resolve that dependency within globally-declared @bar (@bar//some:target).

repo_prefix

Prefix for the generated packages will be of the form

@//...

requirements_darwin

Override the requirements_lock attribute when the host platform is Mac OS

requirements_linux

Override the requirements_lock attribute when the host platform is Linux

requirements_lock

A fully resolved 'requirements.txt' pip requirement file containing the transitive set of your dependencies. If this file is passed instead of 'requirements' no resolve will take place and pip_repository will create individual repositories for each of your dependencies so that wheels are fetched/built only for the targets specified by 'build/run/test'.

requirements_windows

Override the requirements_lock attribute when the host platform is Windows

timeout

Timeout (in seconds) on the rule's execution duration.


whl_library

Download and extracts a single wheel based into a bazel repo based on the requirement string passed in. Instantiated from pip_repository and inherits config options from there.

Example usage (generated)

load("@rules_python//python/pip_install:pip_repository.bzl", "whl_library")

whl_library(
    # A unique name for this repository.
    name = "",
    # Pointer to parent repo name
    repo = "",
    # A dictionary from local repository name to global repository name
    repo_mapping = {},
    # Python requirement string describing the package to make available
    requirement = "",
)

name

A unique name for this repository.

annotation

Optional json encoded file containing annotation to apply to the extracted wheel. See package_annotation

download_only

Whether to use "pip download" instead of "pip wheel". Disables building wheels from source, but allows use of --platform, --python-version, --implementation, and --abi in --extra_pip_args to download wheels for a different platform from the host platform.

enable_implicit_namespace_pkgs

If true, disables conversion of native namespace packages into pkg-util style namespace packages. When set all py_binary and py_test targets must specify either legacy_create_init=False or the global Bazel option --incompatible_default_to_explicit_init_py to prevent __init__.py being automatically generated in every directory.

This option is required to support some packages which cannot handle the conversion to pkg-util style.

environment

Environment variables to set in the pip subprocess. Can be used to set common variables such as http_proxy, https_proxy and no_proxy Note that pip is run with "--isolated" on the CLI so PIP__ style env vars are ignored, but env vars that control requests and urllib3 can be passed.

extra_pip_args

Extra arguments to pass on to pip. Must not contain spaces.

isolated

Whether or not to pass the --isolated flag to the underlying pip command. Alternatively, the RULES_PYTHON_PIP_ISOLATED enviornment varaible can be used to control this flag.

pip_data_exclude

Additional data exclusion parameters to add to the pip packages BUILD file.

python_interpreter

The python interpreter to use. This can either be an absolute path or the name of a binary found on the host's PATH environment variable. If no value is set python3 is defaulted for Unix systems and python.exe for Windows.

python_interpreter_target

If you are using a custom python interpreter built by another repository rule, use this attribute to specify its BUILD target. This allows pip_repository to invoke pip using the same interpreter as your toolchain. If set, takes precedence over python_interpreter.

quiet

If True, suppress printing stdout and stderr output to the terminal.

repo

Pointer to parent repo name. Used to make these rules rerun if the parent repo changes.

repo_mapping

A dictionary from local repository name to global repository name. This allows controls over workspace dependency resolution for dependencies of this repository.

For example, an entry "@foo": "@bar" declares that, for any time this repository depends on @foo (such as a dependency on @foo//some:target, it should actually resolve that dependency within globally-declared @bar (@bar//some:target).

repo_prefix

Prefix for the generated packages will be of the form

@//...

requirement

Python requirement string describing the package to make available

timeout

Timeout (in seconds) on the rule's execution duration.


Macros and Functions

locked_requirements_label

Get the preferred label for a locked requirements file based on platform.

Example usage (generated)

load("@rules_python//python/pip_install:pip_repository.bzl", "locked_requirements_label")

locked_requirements_label(
    # repository or module context
    ctx = None,
    # attributes for the repo rule or tag extension
    attr = None,
)

ctx

repository or module context

attr

attributes for the repo rule or tag extension


package_annotation

Annotations to apply to the BUILD file content from package generated from a pip_repository rule.

Example usage (generated)

load("@rules_python//python/pip_install:pip_repository.bzl", "package_annotation")

package_annotation(
)

additive_build_content

Raw text to add to the generated BUILD file of a package.

copy_files

A mapping of src and out files for [@bazel_skylib//rules:copy_file.bzl][cf]

copy_executables

A mapping of src and out files for [@bazel_skylib//rules:copy_file.bzl][cf]. Targets generated here will also be flagged as executable.

data

A list of labels to add as data dependencies to the generated py_library target.

data_exclude_glob

A list of exclude glob patterns to add as data to the generated py_library target.

srcs_exclude_glob

A list of labels to add as srcs to the generated py_library target.


use_isolated

Determine whether or not to pass the pip --isolated flag to the pip invocation.

Example usage (generated)

load("@rules_python//python/pip_install:pip_repository.bzl", "use_isolated")

use_isolated(
    # repository or module context
    ctx = None,
    # attributes for the repo rule or tag extension
    attr = None,
)

ctx

repository or module context

attr

attributes for the repo rule or tag extension