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 = "python_3_9",
    python_version = "3.9.13",
)

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",

    # Requirement groups allow Bazel to tolerate PyPi cycles by putting dependencies
    # which are known to form cycles into groups together.
    experimental_requirement_cycles = {
        "sphinx": [
            "sphinx",
            "sphinxcontrib-qthelp",
            "sphinxcontrib-htmlhelp",
            "sphinxcontrib-devhelp",
            "sphinxcontrib-applehelp",
            "sphinxcontrib-serializinghtml",
        ],
    },
    # (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 = "@python_3_9_host//:python",

    # (Optional) You can set quiet to False if you want to see pip output.
    #quiet = False,
    requirements_lock = "//:requirements_lock.txt",
    requirements_windows = "//:requirements_windows.txt",
)

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

# Initialize repositories for all packages in requirements_lock.txt.
install_deps()