Import pip requirements into Bazel.

Macros and Functions

compile_pip_requirements

Generates targets for managing pip dependencies with pip-compile.

By default this rules generates a filegroup named "[name]" which can be included in the data of some other compile_pip_requirements rule that references these requirements (e.g. with -r ../other/requirements.txt).

It also generates two targets for running pip-compile:

  • validate with bazel test <name>_test
  • update with bazel run <name>.update

Example usage (generated)

load("@rules_python//python:pip.bzl", "compile_pip_requirements")

compile_pip_requirements(
    # base name for generated targets, typically "requirements"
    name = "",
)

name

base name for generated targets, typically "requirements"

extra_args

passed to pip-compile

visibility

passed to both the _test and .update rules

requirements_in

file expressing desired dependencies

requirements_txt

result of "compiling" the requirements.in file

tags

tagging attribute common to all build rules, passed to both the _test and .update rules

kwargs

other bazel attributes passed to the "_test" rule


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.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.


pip_install

Accepts a requirements.txt file and installs the dependencies listed within.

Those dependencies become available in a generated requirements.bzl file.

This macro runs a repository rule that invokes pip. In your WORKSPACE file:

pip_install(
    requirements = ":requirements.txt",
)

You can then reference installed dependencies from a BUILD file with:

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

Note that this convenience comes with a cost. Analysis of any BUILD file which loads the requirements helper in this way will cause an eager-fetch of all the pip dependencies, even if no python targets are requested to be built. In a multi-language repo, this may cause developers to fetch dependencies they don't need, so consider using the long form for dependencies if this happens.

In addition to the requirement macro, which is used to access the py_library target generated from a package's wheel, the generated requirements.bzl file contains functionality for exposing entry points as py_binary targets.

load("@pip_deps//:requirements.bzl", "entry_point")

alias(
    name = "pip-compile",
    actual = entry_point(
        pkg = "pip-tools",
        script = "pip-compile",
    ),
)

Note that for packages whose name and script are the same, only the name of the package is needed when calling the entry_point macro.

load("@pip_deps//:requirements.bzl", "entry_point")

alias(
    name = "flake8",
    actual = entry_point("flake8"),
)

Example usage (generated)

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

pip_install(
    # A 'requirements.txt' pip requirements file.
    requirements = None,
)

requirements

A 'requirements.txt' pip requirements file.

name

A unique name for the created external repository (default 'pip').

kwargs

Keyword arguments passed directly to the pip_repository repository rule.


pip_parse

Accepts a locked/compiled requirements file and installs the dependencies listed within.

Those dependencies become available in a generated requirements.bzl file. You can instead check this requirements.bzl file into your repo, see the "vendoring" section below.

This macro runs a repository rule that invokes pip. In your WORKSPACE file:

load("@rules_python//python:pip.bzl", "pip_parse")

pip_parse(
    name = "pip_deps",
    requirements_lock = ":requirements.txt",
)

load("@pip_deps//:requirements.bzl", "install_deps")

install_deps()

You can then reference installed dependencies from a BUILD file with:

load("@pip_deps//:requirements.bzl", "requirement")

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

In addition to the requirement macro, which is used to access the generated py_library target generated from a package's wheel, The generated requirements.bzl file contains functionality for exposing entry points as py_binary targets as well.

load("@pip_deps//:requirements.bzl", "entry_point")

alias(
    name = "pip-compile",
    actual = entry_point(
        pkg = "pip-tools",
        script = "pip-compile",
    ),
)

Note that for packages whose name and script are the same, only the name of the package is needed when calling the entry_point macro.

load("@pip_deps//:requirements.bzl", "entry_point")

alias(
    name = "flake8",
    actual = entry_point("flake8"),
)

Vendoring the requirements.bzl file

In some cases you may not want to generate the requirements.bzl file as a repository rule while Bazel is fetching dependencies. For example, if you produce a reusable Bazel module such as a ruleset, you may want to include the requirements.bzl file rather than make your users install the WORKSPACE setup to generate it. See https://github.com/bazelbuild/rules_python/issues/608

This is the same workflow as Gazelle, which creates go_repository rules with update-repos

Simply run the same tool that the pip_parse repository rule calls. You can find the arguments in the generated BUILD file in the pip_parse repo, for example in $(bazel info output_base)/external/pypi/BUILD.bazel for a repo named pypi.

The command will look like this:

bazel run -- @rules_python//python/pip_install/parse_requirements_to_bzl \
  --requirements_lock ./requirements_lock.txt \
  --quiet False --timeout 120 --repo pypi --repo-prefix pypi_ > requirements.bzl

Then load the requirements.bzl file directly, without using pip_parse in the WORKSPACE.

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'.

name

The name of the generated repository. The generated repositories containing each requirement will be of the form _.

kwargs

Additional keyword arguments for the underlying pip_repository rule.


pip_repositories

Obsolete macro to pull in dependencies needed to use the pip_import rule.

Example usage (generated)

load("@rules_python//python:pip.bzl", "pip_repositories")

pip_repositories(
)