
This PR adds the ability to load spack extensions through `importlib.metadata` entry points, in addition to the regular configuration variable. It requires Python 3.8 or greater to be properly supported.
150 lines
6.2 KiB
ReStructuredText
150 lines
6.2 KiB
ReStructuredText
.. Copyright 2013-2024 Lawrence Livermore National Security, LLC and other
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Spack Project Developers. See the top-level COPYRIGHT file for details.
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SPDX-License-Identifier: (Apache-2.0 OR MIT)
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.. extensions:
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=================
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Custom Extensions
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=================
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*Spack extensions* allow you to extend Spack capabilities by deploying your
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own custom commands or logic in an arbitrary location on your filesystem.
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This might be extremely useful e.g. to develop and maintain a command whose purpose is
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too specific to be considered for reintegration into the mainline or to
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evolve a command through its early stages before starting a discussion to merge
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it upstream.
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From Spack's point of view an extension is any path in your filesystem which
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respects the following naming and layout for files:
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.. code-block:: console
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spack-scripting/ # The top level directory must match the format 'spack-{extension_name}'
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├── pytest.ini # Optional file if the extension ships its own tests
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├── scripting # Folder that may contain modules that are needed for the extension commands
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│ ├── cmd # Folder containing extension commands
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│ │ └── filter.py # A new command that will be available
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│ └── functions.py # Module with internal details
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└── tests # Tests for this extension
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│ ├── conftest.py
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│ └── test_filter.py
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└── templates # Templates that may be needed by the extension
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In the example above, the extension is named *scripting*. It adds an additional command
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(``spack filter``) and unit tests to verify its behavior.
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The extension can import any core Spack module in its implementation. When loaded by
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the ``spack`` command, the extension itself is imported as a Python package in the
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``spack.extensions`` namespace. In the example above, since the extension is named
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"scripting", the corresponding Python module is ``spack.extensions.scripting``.
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The code for this example extension can be obtained by cloning the corresponding git repository:
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.. code-block:: console
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$ git -C /tmp clone https://github.com/spack/spack-scripting.git
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---------------------------------
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Configure Spack to Use Extensions
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---------------------------------
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To make your current Spack instance aware of extensions you should add their root
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paths to ``config.yaml``. In the case of our example this means ensuring that:
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.. code-block:: yaml
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config:
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extensions:
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- /tmp/spack-scripting
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is part of your configuration file. Once this is setup any command that the extension provides
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will be available from the command line:
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.. code-block:: console
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$ spack filter --help
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usage: spack filter [-h] [--installed | --not-installed]
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[--explicit | --implicit] [--output OUTPUT]
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...
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filter specs based on their properties
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positional arguments:
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specs specs to be filtered
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optional arguments:
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-h, --help show this help message and exit
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--installed select installed specs
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--not-installed select specs that are not yet installed
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--explicit select specs that were installed explicitly
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--implicit select specs that are not installed or were installed implicitly
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--output OUTPUT where to dump the result
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The corresponding unit tests can be run giving the appropriate options to ``spack unit-test``:
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.. code-block:: console
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$ spack unit-test --extension=scripting
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========================================== test session starts ===========================================
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platform linux -- Python 3.11.5, pytest-7.4.3, pluggy-1.3.0
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rootdir: /home/culpo/github/spack-scripting
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configfile: pytest.ini
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testpaths: tests
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plugins: xdist-3.5.0
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collected 5 items
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tests/test_filter.py ..... [100%]
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========================================== slowest 30 durations ==========================================
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2.31s setup tests/test_filter.py::test_filtering_specs[kwargs0-specs0-expected0]
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0.57s call tests/test_filter.py::test_filtering_specs[kwargs2-specs2-expected2]
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0.56s call tests/test_filter.py::test_filtering_specs[kwargs4-specs4-expected4]
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0.54s call tests/test_filter.py::test_filtering_specs[kwargs3-specs3-expected3]
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0.54s call tests/test_filter.py::test_filtering_specs[kwargs1-specs1-expected1]
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0.48s call tests/test_filter.py::test_filtering_specs[kwargs0-specs0-expected0]
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0.01s setup tests/test_filter.py::test_filtering_specs[kwargs4-specs4-expected4]
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0.01s setup tests/test_filter.py::test_filtering_specs[kwargs2-specs2-expected2]
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0.01s setup tests/test_filter.py::test_filtering_specs[kwargs1-specs1-expected1]
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0.01s setup tests/test_filter.py::test_filtering_specs[kwargs3-specs3-expected3]
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(5 durations < 0.005s hidden. Use -vv to show these durations.)
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=========================================== 5 passed in 5.06s ============================================
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---------------------------------------
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Registering Extensions via Entry Points
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---------------------------------------
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.. note::
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Python version >= 3.8 is required to register extensions via entry points.
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Spack can be made aware of extensions that are installed as part of a python package. To do so, register a function that returns the extension path, or paths, to the ``"spack.extensions"`` entry point. Consider the Python package ``my_package`` that includes a Spack extension:
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.. code-block:: console
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my-package/
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├── src
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│ ├── my_package
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│ │ └── __init__.py
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│ └── spack-scripting/ # the spack extensions
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└── pyproject.toml
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adding the following to ``my_package``'s ``pyproject.toml`` will make the ``spack-scripting`` extension visible to Spack when ``my_package`` is installed:
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.. code-block:: toml
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[project.entry_points."spack.extenions"]
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my_package = "my_package:get_extension_path"
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The function ``my_package.get_extension_path`` in ``my_package/__init__.py`` might look like
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.. code-block:: python
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import importlib.resources
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def get_extension_path():
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dirname = importlib.resources.files("my_package").joinpath("spack-scripting")
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if dirname.exists():
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return str(dirname)
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