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workspace(name = "rules_python_pip_parse_example")
local_repository(
name = "rules_python",
path = "../..",
)
load("@rules_python//python:repositories.bzl", "py_repositories", "python_register_toolchains")
py_repositories()
python_register_toolchains(
name = "python39",
python_version = "3.9",
)
load("@python39//:defs.bzl", "interpreter")
load("@rules_python//python:pip.bzl", "pip_parse")
pip_parse(
# (Optional) You can set an environment in the pip process to control its
# behavior. Note that pip is run in "isolated" mode so no PIP_<VAR>_<NAME>
# style env vars are read, but env vars that control requests and urllib3
# can be passed
# environment = {"HTTPS_PROXY": "http://my.proxy.fun/"},
name = "pypi",
# (Optional) You can provide extra parameters to pip.
# Here, make pip output verbose (this is usable with `quiet = False`).
# extra_pip_args = ["-v"],
# (Optional) You can exclude custom elements in the data section of the generated BUILD files for pip packages.
# Exclude directories with spaces in their names in this example (avoids build errors if there are such directories).
#pip_data_exclude = ["**/* */**"],
# (Optional) You can provide a python_interpreter (path) or a python_interpreter_target (a Bazel target, that
# acts as an executable). The latter can be anything that could be used as Python interpreter. E.g.:
# 1. Python interpreter that you compile in the build file (as above in @python_interpreter).
# 2. Pre-compiled python interpreter included with http_archive
# 3. Wrapper script, like in the autodetecting python toolchain.
#
# Here, we use the interpreter constant that resolves to the host interpreter from the default Python toolchain.
python_interpreter_target = interpreter,
# (Optional) You can set quiet to False if you want to see pip output.
#quiet = False,
requirements_lock = "//:requirements_lock.txt",
)
load("@pypi//:requirements.bzl", "install_deps")
# Initialize repositories for all packages in requirements_lock.txt.
install_deps()
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