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<p>The locked dependencies get included in our "self-contained" releases: namely,
our docker images and our debian packages. We also use the locked dependencies
in development and our continuous integration.</p>
<p>Separately, our "broad" dependencies—the version ranges specified in
<code>pyproject.toml</code>—are included as metadata in our "sdists" and "wheels"<ahref="https://pypi.org/project/matrix-synapse">uploaded
to PyPI</a>. Installing from PyPI or from
the Synapse source tree directly will <em>not</em> use the locked dependencies; instead,
they'll pull in the latest version of each package available at install time.</p>
<li>Teach direnv about poetry. The <ahref="https://github.com/direnv/direnv/wiki/Python#poetry">shell config here</a>
needs to be added to <code>~/.config/direnv/direnvrc</code> (or more generally <code>$XDG_CONFIG_HOME/direnv/direnvrc</code>).</li>
<li>Mark the synapse checkout as a poetry project: <code>echo layout poetry > .envrc</code>.</li>
<li>Convince yourself that you trust this <code>.envrc</code> configuration and project.
Then formally confirm this to <code>direnv</code> by running <code>direnv allow</code>.</li>
</ol>
<p>Then whenever you navigate to the synapse checkout, you should be able to run
e.g. <code>mypy</code> instead of <code>poetry run mypy</code>; <code>python</code> instead of
<code>poetry run python</code>; and your shell commands will automatically run in the
context of poetry's venv, without having to run <code>poetry shell</code> beforehand.</p>
<h1id="how-do-i"><aclass="header"href="#how-do-i">How do I...</a></h1>
<h2id="reset-my-venv-to-the-locked-environment"><aclass="header"href="#reset-my-venv-to-the-locked-environment">...reset my venv to the locked environment?</a></h2>
<pre><codeclass="language-shell">poetry install --extras all --remove-untracked
</code></pre>
<h2id="run-a-command-in-the-poetry-virtualenv"><aclass="header"href="#run-a-command-in-the-poetry-virtualenv">...run a command in the <code>poetry</code> virtualenv?</a></h2>
<p>Use <code>poetry run cmd args</code> when you need the python virtualenv context.
To avoid typing <code>poetry run</code> all the time, you can run <code>poetry shell</code>
to start a new shell in the poetry virtualenv context. Within <code>poetry shell</code>,
<code>python</code>, <code>pip</code>, <code>mypy</code>, <code>trial</code>, etc. are all run inside the project virtualenv
and isolated from the rest o the system.</p>
<p>Roughly speaking, the translation from a traditional virtualenv is:</p>
<li><code>deactivate</code> -> close the terminal (Ctrl-D, <code>exit</code>, etc.)</li>
</ul>
<p>See also the direnv recommendation above, which makes <code>poetry run</code> and
<code>poetry shell</code> unnecessary.</p>
<h2id="inspect-the-poetry-virtualenv"><aclass="header"href="#inspect-the-poetry-virtualenv">...inspect the <code>poetry</code> virtualenv?</a></h2>
<p>Some suggestions:</p>
<pre><codeclass="language-shell"># Current env only
poetry env info
# All envs: this allows you to have e.g. a poetry managed venv for Python 3.7,
# and another for Python 3.10.
poetry env list --full-path
poetry run pip list
</code></pre>
<p>Note that <code>poetry show</code> describes the abstract <em>lock file</em> rather than your
on-disk environment. With that said, <code>poetry show --tree</code> can sometimes be
useful.</p>
<h2id="add-a-new-dependency"><aclass="header"href="#add-a-new-dependency">...add a new dependency?</a></h2>
<p>Either:</p>
<ul>
<li>manually update <code>pyproject.toml</code>; then <code>poetry lock --no-update</code>; or else</li>
<li><code>poetry add packagename</code>. See <code>poetry add --help</code>; note the <code>--dev</code>,
<code>--extras</code> and <code>--optional</code> flags in particular.
<ul>
<li><strong>NB</strong>: this specifies the new package with a version given by a "caret bound". This won't get forced to its lowest version in the old deps CI job: see <ahref="https://github.com/matrix-org/synapse/blob/4e1374373857f2f7a911a31c50476342d9070681/.ci/scripts/test_old_deps.sh#L35-L39">this TODO</a>.</li>
</ul>
</li>
</ul>
<p>Include the updated <code>pyproject.toml</code> and <code>poetry.lock</code> files in your commit.</p>
<h2id="remove-a-dependency"><aclass="header"href="#remove-a-dependency">...remove a dependency?</a></h2>
<p>This is not done often and is untested, but</p>
<p>ought to do the trick. Alternatively, manually update <code>pyproject.toml</code> and
<code>poetry lock --no-update</code>. Include the updated <code>pyproject.toml</code> and poetry.lock`
files in your commit.</p>
<h2id="update-the-version-range-for-an-existing-dependency"><aclass="header"href="#update-the-version-range-for-an-existing-dependency">...update the version range for an existing dependency?</a></h2>
<p>Best done by manually editing <code>pyproject.toml</code>, then <code>poetry lock --no-update</code>.
Include the updated <code>pyproject.toml</code> and <code>poetry.lock</code> in your commit.</p>
<h2id="update-a-dependency-in-the-locked-environment"><aclass="header"href="#update-a-dependency-in-the-locked-environment">...update a dependency in the locked environment?</a></h2>
<h2id="check-the-version-of-poetry-with-poetry---version"><aclass="header"href="#check-the-version-of-poetry-with-poetry---version">Check the version of poetry with <code>poetry --version</code>.</a></h2>
<p>Poetry caches a bunch of information about packages that isn't readily available
from PyPI. (This is what makes poetry seem slow when doing the first
<code>poetry install</code>.) Try <code>poetry cache list</code> and <code>poetry cache clear --all <name of cache></code> to see if that fixes things.</p>
<h2id="try---verbose-or---dry-run-arguments"><aclass="header"href="#try---verbose-or---dry-run-arguments">Try <code>--verbose</code> or <code>--dry-run</code> arguments.</a></h2>
<p>Sometimes useful to see what poetry's internal logic is.</p>
