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Recommend poetry in docs (#12475)

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* Recommend poetry in docs

- readme
- contributor guide
- upgrade notes
- new dev cheat sheet for poetry

Co-authored-by: Shay <hillerys@element.io>
Co-authored-by: Patrick Cloke <clokep@users.noreply.github.com>
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31
README.rst
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@ -293,24 +293,27 @@ directory of your choice::
git clone https://github.com/matrix-org/synapse.git
cd synapse
Synapse has a number of external dependencies, that are easiest
to install using pip and a virtualenv::
Synapse has a number of external dependencies. We maintain a fixed development
environment using [poetry](https://python-poetry.org/). First, install poetry. We recommend
python3 -m venv ./env
source ./env/bin/activate
pip install -e ".[all,dev]"
pip install --user pipx
pipx install poetry
as described `here <https://python-poetry.org/docs/#installing-with-pipx>`_.
(See `poetry's installation docs <https://python-poetry.org/docs/#installation>`
for other installation methods.) Then ask poetry to create a virtual environment
from the project and install Synapse's dependencies::
poetry install --extras "all test"
This will run a process of downloading and installing all the needed
dependencies into a virtual env. If any dependencies fail to install,
try installing the failing modules individually::
pip install -e "module-name"
dependencies into a virtual env.
We recommend using the demo which starts 3 federated instances running on ports `8080` - `8082`
./demo/start.sh
poetry run ./demo/start.sh
(to stop, you can use `./demo/stop.sh`)
(to stop, you can use `poetry run ./demo/stop.sh`)
See the `demo documentation <https://matrix-org.github.io/synapse/develop/development/demo.html>`_
for more information.
@ -318,14 +321,14 @@ for more information.
If you just want to start a single instance of the app and run it directly::
# Create the homeserver.yaml config once
python -m synapse.app.homeserver \
poetry run synapse_homeserver \
--server-name my.domain.name \
--config-path homeserver.yaml \
--generate-config \
--report-stats=[yes|no]
# Start the app
python -m synapse.app.homeserver --config-path homeserver.yaml
poetry run synapse_homeserver --config-path homeserver.yaml
Running the unit tests
@ -334,7 +337,7 @@ Running the unit tests
After getting up and running, you may wish to run Synapse's unit tests to
check that everything is installed correctly::
trial tests
poetry run trial tests
This should end with a 'PASSED' result (note that exact numbers will
differ)::

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@ -0,0 +1 @@
Strongly recommend `poetry` for development.

46
docs/development/contributing_guide.md
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@ -48,19 +48,28 @@ can find many good git tutorials on the web.
# 4. Install the dependencies
Once you have installed Python 3 and added the source, please open a terminal and
setup a *virtualenv*, as follows:
Synapse uses the [poetry](https://python-poetry.org/) project to manage its dependencies
and development environment. Once you have installed Python 3 and added the
source, you should install `poetry`.
Of their installation methods, we recommend
[installing `poetry` using `pipx`](https://python-poetry.org/docs/#installing-with-pipx),
```shell
pip install --user pipx
pipx install poetry
```
but see poetry's [installation instructions](https://python-poetry.org/docs/#installation)
for other installation methods.
Next, open a terminal and install dependencies as follows:
```sh
cd path/where/you/have/cloned/the/repository
python3 -m venv ./env
source ./env/bin/activate
pip install wheel
pip install -e ".[all,dev]"
pip install tox
poetry install --extras all
```
This will install the developer dependencies for the project.
This will install the runtime and developer dependencies for the project.
# 5. Get in touch.
@ -117,11 +126,10 @@ The linters look at your code and do two things:
- ensure that your code follows the coding style adopted by the project;
- catch a number of errors in your code.
The linter takes no time at all to run as soon as you've [downloaded the dependencies into your python virtual environment](#4-install-the-dependencies).
The linter takes no time at all to run as soon as you've [downloaded the dependencies](#4-install-the-dependencies).
```sh
source ./env/bin/activate
./scripts-dev/lint.sh
poetry run ./scripts-dev/lint.sh
```
Note that this script *will modify your files* to fix styling errors.
@ -131,15 +139,13 @@ If you wish to restrict the linters to only the files changed since the last com
(much faster!), you can instead run:
```sh
source ./env/bin/activate
./scripts-dev/lint.sh -d
poetry run ./scripts-dev/lint.sh -d
```
Or if you know exactly which files you wish to lint, you can instead run:
```sh
source ./env/bin/activate
./scripts-dev/lint.sh path/to/file1.py path/to/file2.py path/to/folder
poetry run ./scripts-dev/lint.sh path/to/file1.py path/to/file2.py path/to/folder
```
## Run the unit tests (Twisted trial).
@ -148,16 +154,14 @@ The unit tests run parts of Synapse, including your changes, to see if anything
was broken. They are slower than the linters but will typically catch more errors.
```sh
source ./env/bin/activate
trial tests
poetry run trial tests
```
If you wish to only run *some* unit tests, you may specify
another module instead of `tests` - or a test class or a method:
```sh
source ./env/bin/activate
trial tests.rest.admin.test_room tests.handlers.test_admin.ExfiltrateData.test_invite
poetry run trial tests.rest.admin.test_room tests.handlers.test_admin.ExfiltrateData.test_invite
```
If your tests fail, you may wish to look at the logs (the default log level is `ERROR`):
@ -169,7 +173,7 @@ less _trial_temp/test.log
To increase the log level for the tests, set `SYNAPSE_TEST_LOG_LEVEL`:
```sh
SYNAPSE_TEST_LOG_LEVEL=DEBUG trial tests
SYNAPSE_TEST_LOG_LEVEL=DEBUG poetry run trial tests
```
By default, tests will use an in-memory SQLite database for test data. For additional
@ -180,7 +184,7 @@ database state to be stored in a file named `test.db` under the trial process'
working directory. Typically, this ends up being `_trial_temp/test.db`. For example:
```sh
SYNAPSE_TEST_PERSIST_SQLITE_DB=1 trial tests
SYNAPSE_TEST_PERSIST_SQLITE_DB=1 poetry run trial tests
```
The database file can then be inspected with:

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docs/development/dependencies.md Normal file
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@ -0,0 +1,239 @@
# Managing dependencies with Poetry
This is a quick cheat sheet for developers on how to use [`poetry`](https://python-poetry.org/).
# Background
Synapse uses a variety of third-party Python packages to function as a homeserver.
Some of these are direct dependencies, listed in `pyproject.toml` under the
`[tool.poetry.dependencies]` section. The rest are transitive dependencies (the
things that our direct dependencies themselves depend on, and so on recursively.)
We maintain a locked list of all our dependencies (transitive included) so that
we can track exactly which version of each dependency appears in a given release.
See [here](https://github.com/matrix-org/synapse/issues/11537#issue-1074469665)
for discussion of why we wanted this for Synapse. We chose to use
[`poetry`](https://python-poetry.org/) to manage this locked list; see
[this comment](https://github.com/matrix-org/synapse/issues/11537#issuecomment-1015975819)
for the reasoning.
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.
Separately, our "broad" dependencies—the version ranges specified in
`pyproject.toml`—are included as metadata in our "sdists" and "wheels" [uploaded
to PyPI](https://pypi.org/project/matrix-synapse). Installing from PyPI or from
the Synapse source tree directly will _not_ use the locked dependencies; instead,
they'll pull in the latest version of each package available at install time.
## Example dependency
An example may help. We have a broad dependency on
[`phonenumbers`](https://pypi.org/project/phonenumbers/), as declared in
this snippet from pyproject.toml [as of Synapse 1.57](
https://github.com/matrix-org/synapse/blob/release-v1.57/pyproject.toml#L133
):
```toml
[tool.poetry.dependencies]
# ...
phonenumbers = ">=8.2.0"
```
In our lockfile this is
[pinned]( https://github.com/matrix-org/synapse/blob/dfc7646504cef3e4ff396c36089e1c6f1b1634de/poetry.lock#L679-L685)
to version 8.12.44, even though
[newer versions are available](https://pypi.org/project/phonenumbers/#history).
```toml
[[package]]
name = "phonenumbers"
version = "8.12.44"
description = "Python version of Google's common library for parsing, formatting, storing and validating international phone numbers."
category = "main"
optional = false
python-versions = "*"
```
The lockfile also includes a
[cryptographic checksum](https://github.com/matrix-org/synapse/blob/release-v1.57/poetry.lock#L2178-L2181)
of the sdists and wheels provided for this version of `phonenumbers`.
```toml
[metadata.files]
# ...
phonenumbers = [
{file = "phonenumbers-8.12.44-py2.py3-none-any.whl", hash = "sha256:cc1299cf37b309ecab6214297663ab86cb3d64ae37fd5b88e904fe7983a874a6"},
{file = "phonenumbers-8.12.44.tar.gz", hash = "sha256:26cfd0257d1704fe2f88caff2caabb70d16a877b1e65b6aae51f9fbbe10aa8ce"},
]
```
We can see this pinned version inside the docker image for that release:
```
$ docker pull matrixdotorg/synapse:v1.57.0
...
$ docker run --entrypoint pip matrixdotorg/synapse:v1.57.0 show phonenumbers
Name: phonenumbers
Version: 8.12.44
Summary: Python version of Google's common library for parsing, formatting, storing and validating international phone numbers.
Home-page: https://github.com/daviddrysdale/python-phonenumbers
Author: David Drysdale
Author-email: dmd@lurklurk.org
License: Apache License 2.0
Location: /usr/local/lib/python3.9/site-packages
Requires:
Required-by: matrix-synapse
```
Whereas the wheel metadata just contains the broad dependencies:
```
$ cd /tmp
$ wget https://files.pythonhosted.org/packages/ca/5e/d722d572cc5b3092402b783d6b7185901b444427633bd8a6b00ea0dd41b7/matrix_synapse-1.57.0rc1-py3-none-any.whl
...
$ unzip -c matrix_synapse-1.57.0rc1-py3-none-any.whl matrix_synapse-1.57.0rc1.dist-info/METADATA | grep phonenumbers
Requires-Dist: phonenumbers (>=8.2.0)
```
# Tooling recommendation: direnv
[`direnv`](https://direnv.net/) is a tool for activating environments in your
shell inside a given directory. Its support for poetry is unofficial (a
community wiki recipe only), but works solidly in our experience. We thoroughly
recommend it for daily use. To use it:
1. [Install `direnv`](https://direnv.net/docs/installation.html) - it's likely
packaged for your system already.
2. Teach direnv about poetry. The [shell config here](https://github.com/direnv/direnv/wiki/Python#poetry)
needs to be added to `~/.config/direnv/direnvrc` (or more generally `$XDG_CONFIG_HOME/direnv/direnvrc`).
3. Mark the synapse checkout as a poetry project: `echo layout poetry > .envrc`.
4. Convince yourself that you trust this `.envrc` configuration and project.
Then formally confirm this to `direnv` by running `direnv allow`.
Then whenever you navigate to the synapse checkout, you should be able to run
e.g. `mypy` instead of `poetry run mypy`; `python` instead of
`poetry run python`; and your shell commands will automatically run in the
context of poetry's venv, without having to run `poetry shell` beforehand.
# How do I...
## ...reset my venv to the locked environment?
```shell
poetry install --extras all --remove-untracked
```
## ...run a command in the `poetry` virtualenv?
Use `poetry run cmd args` when you need the python virtualenv context.
To avoid typing `poetry run` all the time, you can run `poetry shell`
to start a new shell in the poetry virtualenv context. Within `poetry shell`,
`python`, `pip`, `mypy`, `trial`, etc. are all run inside the project virtualenv
and isolated from the rest o the system.
Roughly speaking, the translation from a traditional virtualenv is:
- `env/bin/activate` -> `poetry shell`, and
- `deactivate` -> close the terminal (Ctrl-D, `exit`, etc.)
See also the direnv recommendation above, which makes `poetry run` and
`poetry shell` unnecessary.
## ...inspect the `poetry` virtualenv?
Some suggestions:
```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
```
Note that `poetry show` describes the abstract *lock file* rather than your
on-disk environment. With that said, `poetry show --tree` can sometimes be
useful.
## ...add a new dependency?
Either:
- manually update `pyproject.toml`; then `poetry lock --no-update`; or else
- `poetry add packagename`. See `poetry add --help`; note the `--dev`,
`--extras` and `--optional` flags in particular.
- **NB**: 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 [this TODO](https://github.com/matrix-org/synapse/blob/4e1374373857f2f7a911a31c50476342d9070681/.ci/scripts/test_old_deps.sh#L35-L39).
Include the updated `pyproject.toml` and `poetry.lock` files in your commit.
## ...remove a dependency?
This is not done often and is untested, but
```shell
poetry remove packagename
```
ought to do the trick. Alternatively, manually update `pyproject.toml` and
`poetry lock --no-update`. Include the updated `pyproject.toml` and poetry.lock`
files in your commit.
## ...update the version range for an existing dependency?
Best done by manually editing `pyproject.toml`, then `poetry lock --no-update`.
Include the updated `pyproject.toml` and `poetry.lock` in your commit.
## ...update a dependency in the locked environment?
Use
```shell
poetry update packagename
```
to use the latest version of `packagename` in the locked environment, without
affecting the broad dependencies listed in the wheel.
There doesn't seem to be a way to do this whilst locking a _specific_ version of
`packagename`. We can workaround this (crudely) as follows:
```shell
poetry add packagename==1.2.3
# This should update pyproject.lock.
# Now undo the changes to pyproject.toml. For example
# git restore pyproject.toml
# Get poetry to recompute the content-hash of pyproject.toml without changing
# the locked package versions.
poetry lock --no-update
```
Either way, include the updated `poetry.lock` file in your commit.
## ...export a `requirements.txt` file?
```shell
poetry export --extras all
```
Be wary of bugs in `poetry export` and `pip install -r requirements.txt`.
Note: `poetry export` will be made a plugin in Poetry 1.2. Additional config may
be required.
## ...build a test wheel?
I usually use
```shell
poetry run pip install build && poetry run python -m build
```
because [`build`](https://github.com/pypa/build) is a standardish tool which
doesn't require poetry. (It's what we use in CI too). However, you could try
`poetry build` too.

34
docs/upgrade.md
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@ -19,32 +19,36 @@ this document.
packages](setup/installation.md#prebuilt-packages), you will need to follow the
normal process for upgrading those packages.
- If Synapse was installed from source, then:
1. Activate the virtualenv before upgrading. For example, if
Synapse is installed in a virtualenv in `~/synapse/env` then
run:
```bash
source ~/synapse/env/bin/activate
```
2. If Synapse was installed using pip then upgrade to the latest
- If Synapse was installed using pip then upgrade to the latest
version by running:
```bash
pip install --upgrade matrix-synapse
```
If Synapse was installed using git then upgrade to the latest
version by running:
- If Synapse was installed from source, then:
1. Obtain the latest version of the source code. Git users can run
`git pull` to do this.
2. If you're running Synapse in a virtualenv, make sure to activate it before
upgrading. For example, if Synapse is installed in a virtualenv in `~/synapse/env` then
run:
```bash
git pull
source ~/synapse/env/bin/activate
pip install --upgrade .
```
Include any relevant extras between square brackets, e.g. `pip install --upgrade ".[postgres,oidc]"`.
3. Restart Synapse:
3. If you're using `poetry` to manage a Synapse installation, run:
```bash
poetry install
```
Include any relevant extras with `--extras`, e.g. `poetry install --extras postgres --extras oidc`.
It's probably easiest to run `poetry install --extras all`.
4. Restart Synapse:
```bash
synctl restart