spack/lib/spack/docs/developer_guide.rst
Massimiliano Culpo 30c9ff50dd
Allow for packages with multiple build-systems (#30738)
This commit extends the DSL that can be used in packages
to allow declaring that a package uses different build-systems
under different conditions.

It requires each spec to have a `build_system` single valued
variant. The variant can be used in many context to query, manipulate
or select the build system associated with a concrete spec.

The knowledge to build a package has been moved out of the
PackageBase hierarchy, into a new Builder hierarchy. Customization
of the default behavior for a given builder can be obtained by
coding a new derived builder in package.py.

The "run_after" and "run_before" decorators are now applied to
methods on the builder. They can also incorporate a "when="
argument to specify that a method is run only when certain
conditions apply.

For packages that do not define their own builder, forwarding logic
is added between the builder and package (methods not found in one
will be retrieved from the other); this PR is expected to be fully
backwards compatible with unmodified packages that use a single
build system.
2022-10-26 20:17:32 +02:00

1183 lines
40 KiB
ReStructuredText

.. Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
Spack Project Developers. See the top-level COPYRIGHT file for details.
SPDX-License-Identifier: (Apache-2.0 OR MIT)
.. _developer_guide:
===============
Developer Guide
===============
This guide is intended for people who want to work on Spack itself.
If you just want to develop packages, see the :ref:`packaging-guide`.
It is assumed that you've read the :ref:`basic-usage` and
:ref:`packaging-guide` sections, and that you're familiar with the
concepts discussed there. If you're not, we recommend reading those
first.
--------
Overview
--------
Spack is designed with three separate roles in mind:
#. **Users**, who need to install software *without* knowing all the
details about how it is built.
#. **Packagers** who know how a particular software package is
built and encode this information in package files.
#. **Developers** who work on Spack, add new features, and try to
make the jobs of packagers and users easier.
Users could be end users installing software in their home directory,
or administrators installing software to a shared directory on a
shared machine. Packagers could be administrators who want to
automate software builds, or application developers who want to make
their software more accessible to users.
As you might expect, there are many types of users with different
levels of sophistication, and Spack is designed to accommodate both
simple and complex use cases for packages. A user who only knows that
he needs a certain package should be able to type something simple,
like ``spack install <package name>``, and get the package that he
wants. If a user wants to ask for a specific version, use particular
compilers, or build several versions with different configurations,
then that should be possible with a minimal amount of additional
specification.
This gets us to the two key concepts in Spack's software design:
#. **Specs**: expressions for describing builds of software, and
#. **Packages**: Python modules that build software according to a
spec.
A package is a template for building particular software, and a spec
as a descriptor for one or more instances of that template. Users
express the configuration they want using a spec, and a package turns
the spec into a complete build.
The obvious difficulty with this design is that users under-specify
what they want. To build a software package, the package object needs
a *complete* specification. In Spack, if a spec describes only one
instance of a package, then we say it is **concrete**. If a spec
could describes many instances, (i.e. it is under-specified in one way
or another), then we say it is **abstract**.
Spack's job is to take an *abstract* spec from the user, find a
*concrete* spec that satisfies the constraints, and hand the task of
building the software off to the package object. The rest of this
document describes all the pieces that come together to make that
happen.
-------------------
Directory Structure
-------------------
So that you can familiarize yourself with the project, we'll start
with a high level view of Spack's directory structure:
.. code-block:: none
spack/ <- installation root
bin/
spack <- main spack executable
etc/
spack/ <- Spack config files.
Can be overridden by files in ~/.spack.
var/
spack/ <- build & stage directories
repos/ <- contains package repositories
builtin/ <- pkg repository that comes with Spack
repo.yaml <- descriptor for the builtin repository
packages/ <- directories under here contain packages
cache/ <- saves resources downloaded during installs
opt/
spack/ <- packages are installed here
lib/
spack/
docs/ <- source for this documentation
env/ <- compiler wrappers for build environment
external/ <- external libs included in Spack distro
llnl/ <- some general-use libraries
spack/ <- spack module; contains Python code
build_systems/ <- modules for different build systems
cmd/ <- each file in here is a spack subcommand
compilers/ <- compiler description files
container/ <- module for spack containerize
hooks/ <- hook modules to run at different points
modules/ <- modules for lmod, tcl, etc.
operating_systems/ <- operating system modules
platforms/ <- different spack platforms
reporters/ <- reporters like cdash, junit
schema/ <- schemas to validate data structures
solver/ <- the spack solver
test/ <- unit test modules
util/ <- common code
Spack is designed so that it could live within a `standard UNIX
directory hierarchy <http://linux.die.net/man/7/hier>`_, so ``lib``,
``var``, and ``opt`` all contain a ``spack`` subdirectory in case
Spack is installed alongside other software. Most of the interesting
parts of Spack live in ``lib/spack``.
Spack has *one* directory layout and there is no install process.
Most Python programs don't look like this (they use distutils, ``setup.py``,
etc.) but we wanted to make Spack *very* easy to use. The simple layout
spares users from the need to install Spack into a Python environment.
Many users don't have write access to a Python installation, and installing
an entire new instance of Python to bootstrap Spack would be very complicated.
Users should not have to install a big, complicated package to
use the thing that's supposed to spare them from the details of big,
complicated packages. The end result is that Spack works out of the
box: clone it and add ``bin`` to your PATH and you're ready to go.
--------------
Code Structure
--------------
This section gives an overview of the various Python modules in Spack,
grouped by functionality.
^^^^^^^^^^^^^^^^^^^^^^^
Package-related modules
^^^^^^^^^^^^^^^^^^^^^^^
:mod:`spack.package_base`
Contains the :class:`~spack.package_base.PackageBase` class, which
is the superclass for all packages in Spack.
:mod:`spack.util.naming`
Contains functions for mapping between Spack package names,
Python module names, and Python class names. Functions like
:func:`~spack.util.naming.mod_to_class` handle mapping package
module names to class names.
:mod:`spack.directives`
*Directives* are functions that can be called inside a package definition
to modify the package, like :func:`~spack.directives.depends_on`
and :func:`~spack.directives.provides`. See :ref:`dependencies`
and :ref:`virtual-dependencies`.
:mod:`spack.multimethod`
Implementation of the :func:`@when <spack.multimethod.when>`
decorator, which allows :ref:`multimethods <multimethods>` in
packages.
^^^^^^^^^^^^^^^^^^^^
Spec-related modules
^^^^^^^^^^^^^^^^^^^^
:mod:`spack.spec`
Contains :class:`~spack.spec.Spec` and :class:`~spack.spec.SpecParser`.
Also implements most of the logic for normalization and concretization
of specs.
:mod:`spack.parse`
Contains some base classes for implementing simple recursive descent
parsers: :class:`~spack.parse.Parser` and :class:`~spack.parse.Lexer`.
Used by :class:`~spack.spec.SpecParser`.
:mod:`spack.concretize`
Contains :class:`~spack.concretize.Concretizer` implementation,
which allows site administrators to change Spack's :ref:`concretization-policies`.
:mod:`spack.version`
Implements a simple :class:`~spack.version.Version` class with simple
comparison semantics. Also implements :class:`~spack.version.VersionRange`
and :class:`~spack.version.VersionList`. All three are comparable with each
other and offer union and intersection operations. Spack uses these classes
to compare versions and to manage version constraints on specs. Comparison
semantics are similar to the ``LooseVersion`` class in ``distutils`` and to
the way RPM compares version strings.
:mod:`spack.compilers`
Submodules contains descriptors for all valid compilers in Spack.
This is used by the build system to set up the build environment.
.. warning::
Not yet implemented. Currently has two compiler descriptions,
but compilers aren't fully integrated with the build process
yet.
^^^^^^^^^^^^^^^^^
Build environment
^^^^^^^^^^^^^^^^^
:mod:`spack.stage`
Handles creating temporary directories for builds.
:mod:`spack.build_environment`
This contains utility functions used by the compiler wrapper script,
``cc``.
:mod:`spack.directory_layout`
Classes that control the way an installation directory is laid out.
Create more implementations of this to change the hierarchy and
naming scheme in ``$spack_prefix/opt``
^^^^^^^^^^^^^^^^^
Spack Subcommands
^^^^^^^^^^^^^^^^^
:mod:`spack.cmd`
Each module in this package implements a Spack subcommand. See
:ref:`writing commands <writing-commands>` for details.
^^^^^^^^^^
Unit tests
^^^^^^^^^^
:mod:`spack.test`
Implements Spack's test suite. Add a module and put its name in
the test suite in ``__init__.py`` to add more unit tests.
^^^^^^^^^^^^^
Other Modules
^^^^^^^^^^^^^
:mod:`spack.url`
URL parsing, for deducing names and versions of packages from
tarball URLs.
:mod:`spack.error`
:class:`~spack.error.SpackError`, the base class for
Spack's exception hierarchy.
:mod:`llnl.util.tty`
Basic output functions for all of the messages Spack writes to the
terminal.
:mod:`llnl.util.tty.color`
Implements a color formatting syntax used by ``spack.tty``.
:mod:`llnl.util`
In this package are a number of utility modules for the rest of
Spack.
------------
Spec objects
------------
---------------
Package objects
---------------
Most spack commands look something like this:
#. Parse an abstract spec (or specs) from the command line,
#. *Normalize* the spec based on information in package files,
#. *Concretize* the spec according to some customizable policies,
#. Instantiate a package based on the spec, and
#. Call methods (e.g., ``install()``) on the package object.
The information in Package files is used at all stages in this
process.
.. _writing-commands:
----------------
Writing commands
----------------
Adding a new command to Spack is easy. Simply add a ``<name>.py`` file to
``lib/spack/spack/cmd/``, where ``<name>`` is the name of the subcommand.
At the bare minimum, two functions are required in this file:
^^^^^^^^^^^^^^^^^^
``setup_parser()``
^^^^^^^^^^^^^^^^^^
Unless your command doesn't accept any arguments, a ``setup_parser()``
function is required to define what arguments and flags your command takes.
See the `Argparse documentation <https://docs.python.org/2.7/library/argparse.html>`_
for more details on how to add arguments.
Some commands have a set of subcommands, like ``spack compiler find`` or
``spack module lmod refresh``. You can add subparsers to your parser to handle
this. Check out ``spack edit --command compiler`` for an example of this.
A lot of commands take the same arguments and flags. These arguments should
be defined in ``lib/spack/spack/cmd/common/arguments.py`` so that they don't
need to be redefined in multiple commands.
^^^^^^^^^^^^
``<name>()``
^^^^^^^^^^^^
In order to run your command, Spack searches for a function with the same
name as your command in ``<name>.py``. This is the main method for your
command, and can call other helper methods to handle common tasks.
Remember, before adding a new command, think to yourself whether or not this
new command is actually necessary. Sometimes, the functionality you desire
can be added to an existing command. Also remember to add unit tests for
your command. If it isn't used very frequently, changes to the rest of
Spack can cause your command to break without sufficient unit tests to
prevent this from happening.
Whenever you add/remove/rename a command or flags for an existing command,
make sure to update Spack's `Bash tab completion script
<https://github.com/adamjstewart/spack/blob/develop/share/spack/spack-completion.bash>`_.
-------------
Writing Hooks
-------------
A hook is a callback that makes it easy to design functions that run
for different events. We do this by way of defining hook types, and then
inserting them at different places in the spack code base. Whenever a hook
type triggers by way of a function call, we find all the hooks of that type,
and run them.
Spack defines hooks by way of a module at ``lib/spack/spack/hooks`` where we can define
types of hooks in the ``__init__.py``, and then python files in that folder
can use hook functions. The files are automatically parsed, so if you write
a new file for some integration (e.g., ``lib/spack/spack/hooks/myintegration.py``
you can then write hook functions in that file that will be automatically detected,
and run whenever your hook is called. This section will cover the basic kind
of hooks, and how to write them.
^^^^^^^^^^^^^^
Types of Hooks
^^^^^^^^^^^^^^
The following hooks are currently implemented to make it easy for you,
the developer, to add hooks at different stages of a spack install or similar.
If there is a hook that you would like and is missing, you can propose to add a new one.
"""""""""""""""""""""
``pre_install(spec)``
"""""""""""""""""""""
A ``pre_install`` hook is run within an install subprocess, directly before
the install starts. It expects a single argument of a spec, and is run in
a multiprocessing subprocess. Note that if you see ``pre_install`` functions associated with packages these are not hooks
as we have defined them here, but rather callback functions associated with
a package install.
""""""""""""""""""""""
``post_install(spec)``
""""""""""""""""""""""
A ``post_install`` hook is run within an install subprocess, directly after
the install finishes, but before the build stage is removed. If you
write one of these hooks, you should expect it to accept a spec as the only
argument. This is run in a multiprocessing subprocess. This ``post_install`` is
also seen in packages, but in this context not related to the hooks described
here.
""""""""""""""""""""""""""
``on_install_start(spec)``
""""""""""""""""""""""""""
This hook is run at the beginning of ``lib/spack/spack/installer.py``,
in the install function of a ``PackageInstaller``,
and importantly is not part of a build process, but before it. This is when
we have just newly grabbed the task, and are preparing to install. If you
write a hook of this type, you should provide the spec to it.
.. code-block:: python
def on_install_start(spec):
"""On start of an install, we want to...
"""
print('on_install_start')
""""""""""""""""""""""""""""
``on_install_success(spec)``
""""""""""""""""""""""""""""
This hook is run on a successful install, and is also run inside the build
process, akin to ``post_install``. The main difference is that this hook
is run outside of the context of the stage directory, meaning after the
build stage has been removed and the user is alerted that the install was
successful. If you need to write a hook that is run on success of a particular
phase, you should use ``on_phase_success``.
""""""""""""""""""""""""""""
``on_install_failure(spec)``
""""""""""""""""""""""""""""
This hook is run given an install failure that happens outside of the build
subprocess, but somewhere in ``installer.py`` when something else goes wrong.
If you need to write a hook that is relevant to a failure within a build
process, you would want to instead use ``on_phase_failure``.
"""""""""""""""""""""""""""
``on_install_cancel(spec)``
"""""""""""""""""""""""""""
The same, but triggered if a spec install is cancelled for any reason.
"""""""""""""""""""""""""""""""""""""""""""""""
``on_phase_success(pkg, phase_name, log_file)``
"""""""""""""""""""""""""""""""""""""""""""""""
This hook is run within the install subprocess, and specifically when a phase
successfully finishes. Since we are interested in the package, the name of
the phase, and any output from it, we require:
- **pkg**: the package variable, which also has the attached spec at ``pkg.spec``
- **phase_name**: the name of the phase that was successful (e.g., configure)
- **log_file**: the path to the file with output, in case you need to inspect or otherwise interact with it.
"""""""""""""""""""""""""""""""""""""""""""""
``on_phase_error(pkg, phase_name, log_file)``
"""""""""""""""""""""""""""""""""""""""""""""
In the case of an error during a phase, we might want to trigger some event
with a hook, and this is the purpose of this particular hook. Akin to
``on_phase_success`` we require the same variables - the package that failed,
the name of the phase, and the log file where we might find errors.
^^^^^^^^^^^^^^^^^^^^^^
Adding a New Hook Type
^^^^^^^^^^^^^^^^^^^^^^
Adding a new hook type is very simple! In ``lib/spack/spack/hooks/__init__.py``
you can simply create a new ``HookRunner`` that is named to match your new hook.
For example, let's say you want to add a new hook called ``post_log_write``
to trigger after anything is written to a logger. You would add it as follows:
.. code-block:: python
# pre/post install and run by the install subprocess
pre_install = HookRunner('pre_install')
post_install = HookRunner('post_install')
# hooks related to logging
post_log_write = HookRunner('post_log_write') # <- here is my new hook!
You then need to decide what arguments my hook would expect. Since this is
related to logging, let's say that you want a message and level. That means
that when you add a python file to the ``lib/spack/spack/hooks``
folder with one or more callbacks intended to be triggered by this hook. You might
use my new hook as follows:
.. code-block:: python
def post_log_write(message, level):
"""Do something custom with the messsage and level every time we write
to the log
"""
print('running post_log_write!')
To use the hook, we would call it as follows somewhere in the logic to do logging.
In this example, we use it outside of a logger that is already defined:
.. code-block:: python
import spack.hooks
# We do something here to generate a logger and message
spack.hooks.post_log_write(message, logger.level)
This is not to say that this would be the best way to implement an integration
with the logger (you'd probably want to write a custom logger, or you could
have the hook defined within the logger) but serves as an example of writing a hook.
----------
Unit tests
----------
------------
Unit testing
------------
---------------------
Developer environment
---------------------
.. warning::
This is an experimental feature. It is expected to change and you should
not use it in a production environment.
When installing a package, we currently have support to export environment
variables to specify adding debug flags to the build. By default, a package
install will build without any debug flag. However, if you want to add them,
you can export:
.. code-block:: console
export SPACK_ADD_DEBUG_FLAGS=true
spack install zlib
If you want to add custom flags, you should export an additional variable:
.. code-block:: console
export SPACK_ADD_DEBUG_FLAGS=true
export SPACK_DEBUG_FLAGS="-g"
spack install zlib
These environment variables will eventually be integrated into spack so
they are set from the command line.
------------------
Developer commands
------------------
.. _cmd-spack-doc:
^^^^^^^^^^^^^
``spack doc``
^^^^^^^^^^^^^
.. _cmd-spack-style:
^^^^^^^^^^^^^^^
``spack style``
^^^^^^^^^^^^^^^
spack style exists to help the developer user to check imports and style with
mypy, flake8, isort, and (soon) black. To run all style checks, simply do:
.. code-block:: console
$ spack style
To run automatic fixes for isort you can do:
.. code-block:: console
$ spack style --fix
You do not need any of these Python packages installed on your system for
the checks to work! Spack will bootstrap install them from packages for
your use.
^^^^^^^^^^^^^^^^^^^
``spack unit-test``
^^^^^^^^^^^^^^^^^^^
See the :ref:`contributor guide section <cmd-spack-unit-test>` on
``spack unit-test``.
.. _cmd-spack-python:
^^^^^^^^^^^^^^^^
``spack python``
^^^^^^^^^^^^^^^^
``spack python`` is a command that lets you import and debug things as if
you were in a Spack interactive shell. Without any arguments, it is similar
to a normal interactive Python shell, except you can import spack and any
other Spack modules:
.. code-block:: console
$ spack python
Spack version 0.10.0
Python 2.7.13, Linux x86_64
>>> from spack.version import Version
>>> a = Version('1.2.3')
>>> b = Version('1_2_3')
>>> a == b
True
>>> c = Version('1.2.3b')
>>> c > a
True
>>>
If you prefer using an IPython interpreter, given that IPython is installed
you can specify the interpreter with ``-i``:
.. code-block:: console
$ spack python -i ipython
Python 3.8.3 (default, May 19 2020, 18:47:26)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.17.0 -- An enhanced Interactive Python. Type '?' for help.
Spack version 0.16.0
Python 3.8.3, Linux x86_64
In [1]:
With either interpreter you can run a single command:
.. code-block:: console
$ spack python -c 'import distro; distro.linux_distribution()'
('Ubuntu', '18.04', 'Bionic Beaver')
$ spack python -i ipython -c 'import distro; distro.linux_distribution()'
Out[1]: ('Ubuntu', '18.04', 'Bionic Beaver')
or a file:
.. code-block:: console
$ spack python ~/test_fetching.py
$ spack python -i ipython ~/test_fetching.py
just like you would with the normal ``python`` command.
.. _cmd-spack-url:
^^^^^^^^^^^^^^^
``spack blame``
^^^^^^^^^^^^^^^
Spack blame is a way to quickly see contributors to packages or files
in the spack repository. You should provide a target package name or
file name to the command. Here is an example asking to see contributions
for the package "python":
.. code-block:: console
$ spack blame python
LAST_COMMIT LINES % AUTHOR EMAIL
2 weeks ago 3 0.3 Mickey Mouse <cheddar@gmouse.org>
a month ago 927 99.7 Minnie Mouse <swiss@mouse.org>
2 weeks ago 930 100.0
By default, you will get a table view (shown above) sorted by date of contribution,
with the most recent contribution at the top. If you want to sort instead
by percentage of code contribution, then add ``-p``:
.. code-block:: console
$ spack blame -p python
And to see the git blame view, add ``-g`` instead:
.. code-block:: console
$ spack blame -g python
Finally, to get a json export of the data, add ``--json``:
.. code-block:: console
$ spack blame --json python
^^^^^^^^^^^^^
``spack url``
^^^^^^^^^^^^^
A package containing a single URL can be used to download several different
versions of the package. If you've ever wondered how this works, all of the
magic is in :mod:`spack.url`. This module contains methods for extracting
the name and version of a package from its URL. The name is used by
``spack create`` to guess the name of the package. By determining the version
from the URL, Spack can replace it with other versions to determine where to
download them from.
The regular expressions in ``parse_name_offset`` and ``parse_version_offset``
are used to extract the name and version, but they aren't perfect. In order
to debug Spack's URL parsing support, the ``spack url`` command can be used.
"""""""""""""""""""
``spack url parse``
"""""""""""""""""""
If you need to debug a single URL, you can use the following command:
.. command-output:: spack url parse http://cache.ruby-lang.org/pub/ruby/2.2/ruby-2.2.0.tar.gz
You'll notice that the name and version of this URL are correctly detected,
and you can even see which regular expressions it was matched to. However,
you'll notice that when it substitutes the version number in, it doesn't
replace the ``2.2`` with ``9.9`` where we would expect ``9.9.9b`` to live.
This particular package may require a ``list_url`` or ``url_for_version``
function.
This command also accepts a ``--spider`` flag. If provided, Spack searches
for other versions of the package and prints the matching URLs.
""""""""""""""""""
``spack url list``
""""""""""""""""""
This command lists every URL in every package in Spack. If given the
``--color`` and ``--extrapolation`` flags, it also colors the part of
the string that it detected to be the name and version. The
``--incorrect-name`` and ``--incorrect-version`` flags can be used to
print URLs that were not being parsed correctly.
"""""""""""""""""""""
``spack url summary``
"""""""""""""""""""""
This command attempts to parse every URL for every package in Spack
and prints a summary of how many of them are being correctly parsed.
It also prints a histogram showing which regular expressions are being
matched and how frequently:
.. command-output:: spack url summary
This command is essential for anyone adding or changing the regular
expressions that parse names and versions. By running this command
before and after the change, you can make sure that your regular
expression fixes more packages than it breaks.
---------
Profiling
---------
Spack has some limited built-in support for profiling, and can report
statistics using standard Python timing tools. To use this feature,
supply ``--profile`` to Spack on the command line, before any subcommands.
.. _spack-p:
^^^^^^^^^^^^^^^^^^^
``spack --profile``
^^^^^^^^^^^^^^^^^^^
``spack --profile`` output looks like this:
.. command-output:: spack --profile graph hdf5
:ellipsis: 25
The bottom of the output shows the top most time consuming functions,
slowest on top. The profiling support is from Python's built-in tool,
`cProfile
<https://docs.python.org/2/library/profile.html#module-cProfile>`_.
.. _releases:
--------
Releases
--------
This section documents Spack's release process. It is intended for
project maintainers, as the tasks described here require maintainer
privileges on the Spack repository. For others, we hope this section at
least provides some insight into how the Spack project works.
.. _release-branches:
^^^^^^^^^^^^^^^^
Release branches
^^^^^^^^^^^^^^^^
There are currently two types of Spack releases: :ref:`major releases
<major-releases>` (``0.17.0``, ``0.18.0``, etc.) and :ref:`point releases
<point-releases>` (``0.17.1``, ``0.17.2``, ``0.17.3``, etc.). Here is a
diagram of how Spack release branches work::
o branch: develop (latest version, v0.19.0.dev0)
|
o
| o branch: releases/v0.18, tag: v0.18.1
o |
| o tag: v0.18.0
o |
| o
|/
o
|
o
| o branch: releases/v0.17, tag: v0.17.2
o |
| o tag: v0.17.1
o |
| o tag: v0.17.0
o |
| o
|/
o
The ``develop`` branch has the latest contributions, and nearly all pull
requests target ``develop``. The ``develop`` branch will report that its
version is that of the next **major** release with a ``.dev0`` suffix.
Each Spack release series also has a corresponding branch, e.g.
``releases/v0.18`` has ``0.18.x`` versions of Spack, and
``releases/v0.17`` has ``0.17.x`` versions. A major release is the first
tagged version on a release branch. Minor releases are back-ported from
develop onto release branches. This is typically done by cherry-picking
bugfix commits off of ``develop``.
To avoid version churn for users of a release series, minor releases
**should not** make changes that would change the concretization of
packages. They should generally only contain fixes to the Spack core.
However, sometimes priorities are such that new functionality needs to
be added to a minor release.
Both major and minor releases are tagged. As a convenience, we also tag
the latest release as ``releases/latest``, so that users can easily check
it out to get the latest stable version. See :ref:`updating-latest-release`
for more details.
.. note::
Older spack releases were merged **back** into develop so that we could
do fancy things with tags, but since tarballs and many git checkouts do
not have tags, this proved overly complex and confusing.
We have since converted to using `PEP 440 <https://peps.python.org/pep-0440/>`_
compliant versions. `See here <https://github.com/spack/spack/pull/25267>`_ for
details.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Scheduling work for releases
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
We schedule work for releases by creating `GitHub projects
<https://github.com/spack/spack/projects>`_. At any time, there may be
several open release projects. For example, below are two releases (from
some past version of the page linked above):
.. image:: images/projects.png
This image shows one release in progress for ``0.15.1`` and another for
``0.16.0``. Each of these releases has a project board containing issues
and pull requests. GitHub shows a status bar with completed work in
green, work in progress in purple, and work not started yet in gray, so
it's fairly easy to see progress.
Spack's project boards are not firm commitments so we move work between
releases frequently. If we need to make a release and some tasks are not
yet done, we will simply move them to the next minor or major release, rather
than delaying the release to complete them.
For more on using GitHub project boards, see `GitHub's documentation
<https://docs.github.com/en/github/managing-your-work-on-github/about-project-boards>`_.
.. _major-releases:
^^^^^^^^^^^^^^^^^^^^^
Making major releases
^^^^^^^^^^^^^^^^^^^^^
Assuming a project board has already been created and all required work
completed, the steps to make the major release are:
#. Create two new project boards:
* One for the next major release
* One for the next point release
#. Move any optional tasks that are not done to one of the new project boards.
In general, small bugfixes should go to the next point release. Major
features, refactors, and changes that could affect concretization should
go in the next major release.
#. Create a branch for the release, based on ``develop``:
.. code-block:: console
$ git checkout -b releases/v0.15 develop
For a version ``vX.Y.Z``, the branch's name should be
``releases/vX.Y``. That is, you should create a ``releases/vX.Y``
branch if you are preparing the ``X.Y.0`` release.
#. Remove the ``dev0`` development release segment from the version tuple in
``lib/spack/spack/__init__.py``.
The version number itself should already be correct and should not be
modified.
#. Update ``CHANGELOG.md`` with major highlights in bullet form.
Use proper markdown formatting, like `this example from 0.15.0
<https://github.com/spack/spack/commit/d4bf70d9882fcfe88507e9cb444331d7dd7ba71c>`_.
#. Push the release branch to GitHub.
#. Make sure CI passes on the release branch, including:
* Regular unit tests
* Build tests
* The E4S pipeline at `gitlab.spack.io <https://gitlab.spack.io>`_
If CI is not passing, submit pull requests to ``develop`` as normal
and keep rebasing the release branch on ``develop`` until CI passes.
#. Make sure the entire documentation is up to date. If documentation
is outdated submit pull requests to ``develop`` as normal
and keep rebasing the release branch on ``develop``.
#. Bump the major version in the ``develop`` branch.
Create a pull request targeting the ``develop`` branch, bumping the major
version in ``lib/spack/spack/__init__.py`` with a ``dev0`` release segment.
For instance when you have just released ``v0.15.0``, set the version
to ``(0, 16, 0, 'dev0')`` on ``develop``.
#. Follow the steps in :ref:`publishing-releases`.
#. Follow the steps in :ref:`updating-latest-release`.
#. Follow the steps in :ref:`announcing-releases`.
.. _point-releases:
^^^^^^^^^^^^^^^^^^^^^
Making point releases
^^^^^^^^^^^^^^^^^^^^^
Assuming a project board has already been created and all required work
completed, the steps to make the point release are:
#. Create a new project board for the next point release.
#. Move any optional tasks that are not done to the next project board.
#. Check out the release branch (it should already exist).
For the ``X.Y.Z`` release, the release branch is called ``releases/vX.Y``.
For ``v0.15.1``, you would check out ``releases/v0.15``:
.. code-block:: console
$ git checkout releases/v0.15
#. If a pull request to the release branch named ``Backports vX.Y.Z`` is not already
in the project, create it. This pull request ought to be created as early as
possible when working on a release project, so that we can build the release
commits incrementally, and identify potential conflicts at an early stage.
#. Cherry-pick each pull request in the ``Done`` column of the release
project board onto the ``Backports vX.Y.Z`` pull request.
This is **usually** fairly simple since we squash the commits from the
vast majority of pull requests. That means there is only one commit
per pull request to cherry-pick. For example, `this pull request
<https://github.com/spack/spack/pull/15777>`_ has three commits, but
they were squashed into a single commit on merge. You can see the
commit that was created here:
.. image:: images/pr-commit.png
You can easily cherry pick it like this (assuming you already have the
release branch checked out):
.. code-block:: console
$ git cherry-pick 7e46da7
For pull requests that were rebased (or not squashed), you'll need to
cherry-pick each associated commit individually.
.. warning::
It is important to cherry-pick commits in the order they happened,
otherwise you can get conflicts while cherry-picking. When
cherry-picking look at the merge date,
**not** the number of the pull request or the date it was opened.
Sometimes you may **still** get merge conflicts even if you have
cherry-picked all the commits in order. This generally means there
is some other intervening pull request that the one you're trying
to pick depends on. In these cases, you'll need to make a judgment
call regarding those pull requests. Consider the number of affected
files and or the resulting differences.
1. If the dependency changes are small, you might just cherry-pick it,
too. If you do this, add the task to the release board.
2. If the changes are large, then you may decide that this fix is not
worth including in a point release, in which case you should remove
the task from the release project.
3. You can always decide to manually back-port the fix to the release
branch if neither of the above options makes sense, but this can
require a lot of work. It's seldom the right choice.
#. When all the commits from the project board are cherry-picked into
the ``Backports vX.Y.Z`` pull request, you can push a commit to:
1. Bump the version in ``lib/spack/spack/__init__.py``.
2. Update ``CHANGELOG.md`` with a list of the changes.
This is typically a summary of the commits you cherry-picked onto the
release branch. See `the changelog from 0.14.1
<https://github.com/spack/spack/commit/ff0abb9838121522321df2a054d18e54b566b44a>`_.
#. Merge the ``Backports vX.Y.Z`` PR with the **Rebase and merge** strategy. This
is needed to keep track in the release branch of all the commits that were
cherry-picked.
#. Make sure CI passes on the release branch, including:
* Regular unit tests
* Build tests
* The E4S pipeline at `gitlab.spack.io <https://gitlab.spack.io>`_
If CI does not pass, you'll need to figure out why, and make changes
to the release branch until it does. You can make more commits, modify
or remove cherry-picked commits, or cherry-pick **more** from
``develop`` to make this happen.
#. Follow the steps in :ref:`publishing-releases`.
#. Follow the steps in :ref:`updating-latest-release`.
#. Follow the steps in :ref:`announcing-releases`.
#. Submit a PR to update the CHANGELOG in the `develop` branch
with the addition of this point release.
.. _publishing-releases:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Publishing a release on GitHub
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
#. Create the release in GitHub.
* Go to
`github.com/spack/spack/releases <https://github.com/spack/spack/releases>`_
and click ``Draft a new release``.
* Set ``Tag version`` to the name of the tag that will be created.
The name should start with ``v`` and contain *all three*
parts of the version (e.g. ``v0.15.0`` or ``v0.15.1``).
* Set ``Target`` to the ``releases/vX.Y`` branch (e.g., ``releases/v0.15``).
* Set ``Release title`` to ``vX.Y.Z`` to match the tag (e.g., ``v0.15.1``).
* Paste the latest release markdown from your ``CHANGELOG.md`` file as the text.
* Save the draft so you can keep coming back to it as you prepare the release.
#. When you are ready to finalize the release, click ``Publish release``.
#. Immediately after publishing, go back to
`github.com/spack/spack/releases
<https://github.com/spack/spack/releases>`_ and download the
auto-generated ``.tar.gz`` file for the release. It's the ``Source
code (tar.gz)`` link.
#. Click ``Edit`` on the release you just made and attach the downloaded
release tarball as a binary. This does two things:
#. Makes sure that the hash of our releases does not change over time.
GitHub sometimes annoyingly changes the way they generate tarballs
that can result in the hashes changing if you rely on the
auto-generated tarball links.
#. Gets download counts on releases visible through the GitHub API.
GitHub tracks downloads of artifacts, but *not* the source
links. See the `releases
page <https://api.github.com/repos/spack/spack/releases>`_ and search
for ``download_count`` to see this.
#. Go to `readthedocs.org <https://readthedocs.org/projects/spack>`_ and
activate the release tag.
This builds the documentation and makes the released version
selectable in the versions menu.
.. _updating-latest-release:
^^^^^^^^^^^^^^^^^^^^^^^^^^
Updating `releases/latest`
^^^^^^^^^^^^^^^^^^^^^^^^^^
If the new release is the **highest** Spack release yet, you should
also tag it as ``releases/latest``. For example, suppose the highest
release is currently ``0.15.3``:
* If you are releasing ``0.15.4`` or ``0.16.0``, then you should tag
it with ``releases/latest``, as these are higher than ``0.15.3``.
* If you are making a new release of an **older** major version of
Spack, e.g. ``0.14.4``, then you should not tag it as
``releases/latest`` (as there are newer major versions).
To tag ``releases/latest``, do this:
.. code-block:: console
$ git checkout releases/vX.Y # vX.Y is the new release's branch
$ git tag --force releases/latest
$ git push --force --tags
The ``--force`` argument to ``git tag`` makes ``git`` overwrite the existing
``releases/latest`` tag with the new one.
.. _announcing-releases:
^^^^^^^^^^^^^^^^^^^^
Announcing a release
^^^^^^^^^^^^^^^^^^^^
We announce releases in all of the major Spack communication channels.
Publishing the release takes care of GitHub. The remaining channels are
Twitter, Slack, and the mailing list. Here are the steps:
#. Announce the release on Twitter.
* Compose the tweet on the ``@spackpm`` account per the
``spack-twitter`` slack channel.
* Be sure to include a link to the release's page on GitHub.
You can base the tweet on `this
example <https://twitter.com/spackpm/status/1231761858182307840>`_.
#. Announce the release on Slack.
* Compose a message in the ``#general`` Slack channel
(`spackpm.slack.com <https://spackpm.slack.com>`_).
* Preface the message with ``@channel`` to notify even those
people not currently logged in.
* Be sure to include a link to the tweet above.
The tweet will be shown inline so that you do not have to retype
your release announcement.
#. Announce the release on the Spack mailing list.
* Compose an email to the Spack mailing list.
* Be sure to include a link to the release's page on GitHub.
* It is also helpful to include some information directly in the
email.
You can base your announcement on this `example
email <https://groups.google.com/forum/#!topic/spack/WT4CT9i_X4s>`_.
Once you've completed the above steps, congratulations, you're done!
You've finished making the release!