Welcome!
This document is fairly extensive and you aren't really expected to study this in detail for small contributions;
The most important rule is that contributing must be easy and that the community is friendly and not nitpicking on details, such as coding style.
If you're reporting a bug you should read the Reporting bugs section below to ensure that your bug report contains enough information to successfully diagnose the issue, and if you're contributing code you should try to mimic the conventions you see surrounding the code you're working on, but in the end all patches will be cleaned up by the person merging the changes so don't worry too much.
- Community Code of Conduct
- Reporting Bugs
- Contributors guide to the code base
- Versions
- Branches
- Tags
- Working on Features & Patches
- Coding Style
- Contributing features requiring additional libraries
- Contacts
- Packages
- Release Procedure
The goal is to maintain a diverse community that's pleasant for everyone. That's why we would greatly appreciate it if everyone contributing to and interacting with the community also followed this Code of Conduct.
The Code of Conduct covers our behavior as members of the community, in any forum, mailing list, wiki, website, Internet relay chat (IRC), public meeting or private correspondence.
The Code of Conduct is heavily based on the Ubuntu Code of Conduct, and the Pylons Code of Conduct.
Your work will be used by other people, and you in turn will depend on the work of others. Any decision you take will affect users and colleagues, and we expect you to take those consequences into account when making decisions. Even if it's not obvious at the time, our contributions to Celery will impact the work of others. For example, changes to code, infrastructure, policy, documentation and translations during a release may negatively impact others' work.
The Celery community and its members treat one another with respect. Everyone can make a valuable contribution to Celery. We may not always agree, but disagreement is no excuse for poor behavior and poor manners. We might all experience some frustration now and then, but we cannot allow that frustration to turn into a personal attack. It's important to remember that a community where people feel uncomfortable or threatened isn't a productive one. We expect members of the Celery community to be respectful when dealing with other contributors as well as with people outside the Celery project and with users of Celery.
Collaboration is central to Celery and to the larger free software community. We should always be open to collaboration. Your work should be done transparently and patches from Celery should be given back to the community when they're made, not just when the distribution releases. If you wish to work on new code for existing upstream projects, at least keep those projects informed of your ideas and progress. It many not be possible to get consensus from upstream, or even from your colleagues about the correct implementation for an idea, so don't feel obliged to have that agreement before you begin, but at least keep the outside world informed of your work, and publish your work in a way that allows outsiders to test, discuss, and contribute to your efforts.
Disagreements, both political and technical, happen all the time and the Celery community is no exception. It's important that we resolve disagreements and differing views constructively and with the help of the community and community process. If you really want to go a different way, then we encourage you to make a derivative distribution or alternate set of packages that still build on the work we've done to utilize as common of a core as possible.
Nobody knows everything, and nobody is expected to be perfect. Asking questions avoids many problems down the road, and so questions are encouraged. Those who are asked questions should be responsive and helpful. However, when asking a question, care must be taken to do so in an appropriate forum.
Developers on every project come and go and Celery is no different. When you leave or disengage from the project, in whole or in part, we ask that you do so in a way that minimizes disruption to the project. This means you should tell people you're leaving and take the proper steps to ensure that others can pick up where you left off.
You must never report security related issues, vulnerabilities or bugs
including sensitive information to the bug tracker, or elsewhere in public.
Instead sensitive bugs must be sent by email to security@celeryproject.org
.
If you'd like to submit the information encrypted our PGP key is:
-----BEGIN PGP PUBLIC KEY BLOCK----- Version: GnuPG v1.4.15 (Darwin) mQENBFJpWDkBCADFIc9/Fpgse4owLNvsTC7GYfnJL19XO0hnL99sPx+DPbfr+cSE 9wiU+Wp2TfUX7pCLEGrODiEP6ZCZbgtiPgId+JYvMxpP6GXbjiIlHRw1EQNH8RlX cVxy3rQfVv8PGGiJuyBBjxzvETHW25htVAZ5TI1+CkxmuyyEYqgZN2fNd0wEU19D +c10G1gSECbCQTCbacLSzdpngAt1Gkrc96r7wGHBBSvDaGDD2pFSkVuTLMbIRrVp lnKOPMsUijiip2EMr2DvfuXiUIUvaqInTPNWkDynLoh69ib5xC19CSVLONjkKBsr Pe+qAY29liBatatpXsydY7GIUzyBT3MzgMJlABEBAAG0MUNlbGVyeSBTZWN1cml0 eSBUZWFtIDxzZWN1cml0eUBjZWxlcnlwcm9qZWN0Lm9yZz6JATgEEwECACIFAlJp WDkCGwMGCwkIBwMCBhUIAgkKCwQWAgMBAh4BAheAAAoJEOArFOUDCicIw1IH/26f CViDC7/P13jr+srRdjAsWvQztia9HmTlY8cUnbmkR9w6b6j3F2ayw8VhkyFWgYEJ wtPBv8mHKADiVSFARS+0yGsfCkia5wDSQuIv6XqRlIrXUyqJbmF4NUFTyCZYoh+C ZiQpN9xGhFPr5QDlMx2izWg1rvWlG1jY2Es1v/xED3AeCOB1eUGvRe/uJHKjGv7J rj0pFcptZX+WDF22AN235WYwgJM6TrNfSu8sv8vNAQOVnsKcgsqhuwomSGsOfMQj LFzIn95MKBBU1G5wOs7JtwiV9jefGqJGBO2FAvOVbvPdK/saSnB+7K36dQcIHqms 5hU4Xj0RIJiod5idlRC5AQ0EUmlYOQEIAJs8OwHMkrdcvy9kk2HBVbdqhgAREMKy gmphDp7prRL9FqSY/dKpCbG0u82zyJypdb7QiaQ5pfPzPpQcd2dIcohkkh7G3E+e hS2L9AXHpwR26/PzMBXyr2iNnNc4vTksHvGVDxzFnRpka6vbI/hrrZmYNYh9EAiv uhE54b3/XhXwFgHjZXb9i8hgJ3nsO0pRwvUAM1bRGMbvf8e9F+kqgV0yWYNnh6QL 4Vpl1+epqp2RKPHyNQftbQyrAHXT9kQF9pPlx013MKYaFTADscuAp4T3dy7xmiwS crqMbZLzfrxfFOsNxTUGE5vmJCcm+mybAtRo4aV6ACohAO9NevMx8pUAEQEAAYkB HwQYAQIACQUCUmlYOQIbDAAKCRDgKxTlAwonCNFbB/9esir/f7TufE+isNqErzR/ aZKZo2WzZR9c75kbqo6J6DYuUHe6xI0OZ2qZ60iABDEZAiNXGulysFLCiPdatQ8x 8zt3DF9BMkEck54ZvAjpNSern6zfZb1jPYWZq3TKxlTs/GuCgBAuV4i5vDTZ7xK/ aF+OFY5zN7ciZHkqLgMiTZ+RhqRcK6FhVBP/Y7d9NlBOcDBTxxE1ZO1ute6n7guJ ciw4hfoRk8qNN19szZuq3UU64zpkM2sBsIFM9tGF2FADRxiOaOWZHmIyVZriPFqW RUwjSjs7jBVNq0Vy4fCu/5+e+XLOUBOoqtM5W7ELt0t1w9tXebtPEetV86in8fU2 =0chn -----END PGP PUBLIC KEY BLOCK-----
Bugs can always be described to the :ref:`mailing-list`, but the best way to report an issue and to ensure a timely response is to use the issue tracker.
- Create a GitHub account.
You need to create a GitHub account to be able to create new issues and participate in the discussion.
- Determine if your bug is really a bug.
You shouldn't file a bug if you're requesting support. For that you can use
the :ref:`mailing-list`, or :ref:`irc-channel`. If you still need support
you can open a github issue, please prepend the title with [QUESTION]
.
- Make sure your bug hasn't already been reported.
Search through the appropriate Issue tracker. If a bug like yours was found, check if you have new information that could be reported to help the developers fix the bug.
- Check if you're using the latest version.
A bug could be fixed by some other improvements and fixes - it might not have an existing report in the bug tracker. Make sure you're using the latest releases of celery, billiard, kombu, amqp, and vine.
- Collect information about the bug.
To have the best chance of having a bug fixed, we need to be able to easily reproduce the conditions that caused it. Most of the time this information will be from a Python traceback message, though some bugs might be in design, spelling or other errors on the website/docs/code.
If the error is from a Python traceback, include it in the bug report.
We also need to know what platform you're running (Windows, macOS, Linux, etc.), the version of your Python interpreter, and the version of Celery, and related packages that you were running when the bug occurred.
If you're reporting a race condition or a deadlock, tracebacks can be hard to get or might not be that useful. Try to inspect the process to get more diagnostic data. Some ideas:
- Enable Celery's :ref:`breakpoint signal <breakpoint_signal>` and use it to inspect the process's state. This will allow you to open a :mod:`pdb` session.
- Collect tracing data using strace`_(Linux), :command:`dtruss (macOS), and :command:`ktrace` (BSD), ltrace, and lsof.
Include the output from the :command:`celery report` command:
$ celery -A proj report
This will also include your configuration settings and it will try to remove values for keys known to be sensitive, but make sure you also verify the information before submitting so that it doesn't contain confidential information like API tokens and authentication credentials.
Your issue might be tagged as Needs Test Case. A test case represents all the details needed to reproduce what your issue is reporting. A test case can be some minimal code that reproduces the issue or detailed instructions and configuration values that reproduces said issue.
- Submit the bug.
By default GitHub will email you to let you know when new comments have been made on your bug. In the event you've turned this feature off, you should check back on occasion to ensure you don't miss any questions a developer trying to fix the bug might ask.
Bugs for a package in the Celery ecosystem should be reported to the relevant issue tracker.
- :pypi:`celery`: https://github.com/celery/celery/issues/
- :pypi:`kombu`: https://github.com/celery/kombu/issues
- :pypi:`amqp`: https://github.com/celery/py-amqp/issues
- :pypi:`vine`: https://github.com/celery/vine/issues
- :pypi:`librabbitmq`: https://github.com/celery/librabbitmq/issues
- :pypi:`django-celery-beat`: https://github.com/celery/django-celery-beat/issues
- :pypi:`django-celery-results`: https://github.com/celery/django-celery-results/issues
If you're unsure of the origin of the bug you can ask the :ref:`mailing-list`, or just use the Celery issue tracker.
There's a separate section for internal details, including details about the code base and a style guide.
Read :ref:`internals-guide` for more!
Version numbers consists of a major version, minor version and a release number. Since version 2.1.0 we use the versioning semantics described by SemVer: http://semver.org.
Stable releases are published at PyPI while development releases are only available in the GitHub git repository as tags. All version tags starts with “v”, so version 0.8.0 has the tag v0.8.0.
Current active version branches:
- dev (which git calls "master") (https://github.com/celery/celery/tree/master)
- 4.2 (https://github.com/celery/celery/tree/4.2)
- 4.1 (https://github.com/celery/celery/tree/4.1)
- 3.1 (https://github.com/celery/celery/tree/3.1)
You can see the state of any branch by looking at the Changelog:
https://github.com/celery/celery/blob/master/Changelog
If the branch is in active development the topmost version info should contain meta-data like:
4.3.0
======
:release-date: TBA
:status: DEVELOPMENT
:branch: dev (git calls this master)
The status
field can be one of:
PLANNING
The branch is currently experimental and in the planning stage.
DEVELOPMENT
The branch is in active development, but the test suite should be passing and the product should be working and possible for users to test.
FROZEN
The branch is frozen, and no more features will be accepted. When a branch is frozen the focus is on testing the version as much as possible before it is released.
The dev branch (called "master" by git), is where development of the next version happens.
Maintenance branches are named after the version -- for example,
the maintenance branch for the 2.2.x series is named 2.2
.
Previously these were named releaseXX-maint
.
The versions we currently maintain is:
4.2
This is the current series.
4.1
Drop support for python 2.6. Add support for python 3.4, 3.5 and 3.6.
3.1
Official support for python 2.6, 2.7 and 3.3, and also supported on PyPy.
Archived branches are kept for preserving history only, and theoretically someone could provide patches for these if they depend on a series that's no longer officially supported.
An archived version is named X.Y-archived
.
To maintain a cleaner history and drop compatibility to continue improving the project, we do not have any archived version right now.
Major new features are worked on in dedicated branches. There's no strict naming requirement for these branches.
Feature branches are removed once they've been merged into a release branch.
- Tags are used exclusively for tagging releases. A release tag is
named with the format
vX.Y.Z
-- for examplev2.3.1
. - Experimental releases contain an additional identifier
vX.Y.Z-id
-- for examplev3.0.0-rc1
. - Experimental tags may be removed after the official release.
Note
Contributing to Celery should be as simple as possible, so none of these steps should be considered mandatory.
You can even send in patches by email if that's your preferred work method. We won't like you any less, any contribution you make is always appreciated!
However, following these steps may make maintainer's life easier, and may mean that your changes will be accepted sooner.
First you need to fork the Celery repository, a good introduction to this is in the GitHub Guide: Fork a Repo.
After you have cloned the repository, you should checkout your copy to a directory on your machine:
$ git clone git@github.com:username/celery.git
When the repository is cloned, enter the directory to set up easy access to upstream changes:
$ cd celery
$ git remote add upstream git://github.com/celery/celery.git
$ git fetch upstream
If you need to pull in new changes from upstream you should
always use the --rebase
option to git pull
:
git pull --rebase upstream master
With this option, you don't clutter the history with merging commit notes. See Rebasing merge commits in git. If you want to learn more about rebasing, see the Rebase section in the GitHub guides.
If you need to work on a different branch than the one git calls master
, you can
fetch and checkout a remote branch like this:
git checkout --track -b 5.0-devel upstream/5.0-devel
Note: Any feature or fix branch should be created from upstream/master
.
Because of the many components of Celery, such as a broker and backend, Docker and docker-compose can be utilized to greatly simplify the development and testing cycle. The Docker configuration here requires a Docker version of at least 17.13.0 and docker-compose 1.13.0+.
The Docker components can be found within the :file:`docker/` folder and the Docker image can be built via:
$ docker-compose build celery
and run via:
$ docker-compose run --rm celery <command>
where <command> is a command to execute in a Docker container. The --rm flag indicates that the container should be removed after it is exited and is useful to prevent accumulation of unwanted containers.
Some useful commands to run:
bash
To enter the Docker container like a normal shell
make test
To run the test suite. Note: This will run tests using python 3.8 by default.
tox
To run tox and test against a variety of configurations. Note: This command will run tests for every environment defined in :file:`tox.ini`. It takes a while.
pyenv exec python{2.7,3.5,3.6,3.7,3.8} -m pytest t/unit
To run unit tests using pytest.
Note:
{2.7,3.5,3.6,3.7,3.8}
means you can use any of those options. e.g.pyenv exec python3.6 -m pytest t/unit
pyenv exec python{2.7,3.5,3.6,3.7,3.8} -m pytest t/integration
To run integration tests using pytest
Note:
{2.7,3.5,3.6,3.7,3.8}
means you can use any of those options. e.g.pyenv exec python3.6 -m pytest t/unit
By default, docker-compose will mount the Celery and test folders in the Docker container, allowing code changes and testing to be immediately visible inside the Docker container. Environment variables, such as the broker and backend to use are also defined in the :file:`docker/docker-compose.yml` file.
By running docker-compose build celery
an image will be created with the
name celery/celery:dev
. This docker image has every dependency needed
for development installed. pyenv
is used to install multiple python
versions, the docker image offers python 2.7, 3.5, 3.6, 3.7 and 3.8.
The default python version is set to 3.8.
The :file:`docker-compose.yml` file defines the necessary environment variables
to run integration tests. The celery
service also mounts the codebase
and sets the PYTHONPATH
environment variable to /home/developer/celery
.
By setting PYTHONPATH
the service allows to use the mounted codebase
as global module for development. If you prefer, you can also run
python -m pip install -e .
to install the codebase in development mode.
If you would like to run a Django or stand alone project to manually test or debug a feature, you can use the image built by docker-compose and mount your custom code. Here's an example:
Assuming a folder structure such as:
+ celery_project
+ celery # repository cloned here.
+ my_project
- manage.py
+ my_project
- views.py
version: "3"
services:
celery:
image: celery/celery:dev
environment:
TEST_BROKER: amqp://rabbit:5672
TEST_BACKEND: redis://redis
volumes:
- ../../celery:/home/developer/celery
- ../my_project:/home/developer/my_project
depends_on:
- rabbit
- redis
rabbit:
image: rabbitmq:latest
redis:
image: redis:latest
In the previous example, we are using the image that we can build from this repository and mounting the celery code base as well as our custom project.
If you like to develop using virtual environments or just outside docker, you must make sure all necessary dependencies are installed. There are multiple requirements files to make it easier to install all dependencies. You do not have to use every requirements file but you must use default.txt.
# pip install -U -r requirements/default.txt
To run the Celery test suite you need to install :file:`requirements/test.txt`.
$ pip install -U -r requirements/test.txt
$ pip install -U -r requirements/default.txt
After installing the dependencies required, you can now execute the test suite by calling :pypi:`py.test <pytest>`:
$ py.test t/unit
$ py.test t/integration
Some useful options to :command:`py.test` are:
-x
Stop running the tests at the first test that fails.
-s
Don't capture output
-v
Run with verbose output.
If you want to run the tests for a single test file only you can do so like this:
$ py.test t/unit/worker/test_worker.py
To calculate test coverage you must first install the :pypi:`pytest-cov` module.
Installing the :pypi:`pytest-cov` module:
$ pip install -U pytest-cov
Run :command:`py.test` with the
--cov-report=html
argument enabled:$ py.test --cov=celery --cov-report=html
The coverage output will then be located in the :file:`htmlcov/` directory:
$ open htmlcov/index.html
- Run :command:`py.test` with the
--cov-report=xml
argument enabled:
$ py.test --cov=celery --cov-report=xml
- The coverage XML output will then be located in the :file:`coverage.xml` file.
There's a :pypi:`tox` configuration file in the top directory of the distribution.
To run the tests for all supported Python versions simply execute:
$ tox
Use the tox -e
option if you only want to test specific Python versions:
$ tox -e 2.7
To build the documentation, you need to install the dependencies listed in :file:`requirements/docs.txt` and :file:`requirements/default.txt`:
$ pip install -U -r requirements/docs.txt
$ pip install -U -r requirements/default.txt
Additionally, to build with no warnings, you will need to install the following packages:
$ apt-get install texlive texlive-latex-extra dvipng
After these dependencies are installed, you should be able to build the docs by running:
$ cd docs
$ rm -rf _build
$ make html
Make sure there are no errors or warnings in the build output. After building succeeds, the documentation is available at :file:`_build/html`.
To use these tools, you need to install a few dependencies. These dependencies can be found in :file:`requirements/pkgutils.txt`.
Installing the dependencies:
$ pip install -U -r requirements/pkgutils.txt
To ensure that your changes conform to PEP 8 and to run pyflakes execute:
$ make flakecheck
To not return a negative exit code when this command fails, use
the flakes
target instead:
$ make flakes
To make sure that all modules have a corresponding section in the API reference, please execute:
$ make apicheck
If files are missing, you can add them by copying an existing reference file.
If the module is internal, it should be part of the internal reference located in :file:`docs/internals/reference/`. If the module is public, it should be located in :file:`docs/reference/`.
For example, if reference is missing for the module celery.worker.awesome
and this module is considered part of the public API, use the following steps:
Use an existing file as a template:
$ cd docs/reference/
$ cp celery.schedules.rst celery.worker.awesome.rst
Edit the file using your favorite editor:
$ vim celery.worker.awesome.rst
# change every occurrence of ``celery.schedules`` to
# ``celery.worker.awesome``
Edit the index using your favorite editor:
$ vim index.rst
# Add ``celery.worker.awesome`` to the index.
Commit your changes:
# Add the file to git
$ git add celery.worker.awesome.rst
$ git add index.rst
$ git commit celery.worker.awesome.rst index.rst \
-m "Adds reference for celery.worker.awesome"
Isort is a python utility to help sort imports alphabetically and separated into sections. The Celery project uses isort to better maintain imports on every module. Please run isort if there are any new modules or the imports on an existent module had to be modified.
$ isort my_module.py # Run isort for one file
$ isort -rc . # Run it recursively
$ isort m_module.py --diff # Do a dry-run to see the proposed changes
When your feature/bugfix is complete, you may want to submit a pull request, so that it can be reviewed by the maintainers.
Before submitting a pull request, please make sure you go through this checklist to make it easier for the maintainers to accept your proposed changes:
- [ ] Make sure any change or new feature has a unit and/or integration test.
If a test is not written, a label will be assigned to your PR with the name
Needs Test Coverage
.
- [ ] Make sure unit test coverage does not decrease.
py.test -xv --cov=celery --cov-report=xml --cov-report term
. You can check the current test coverage here: https://codecov.io/gh/celery/celery
- [ ] Run
flake8
against the code. The following commands are valid and equivalent.:
$ flake8 -j 2 celery/ t/ $ make flakecheck $ tox -e flake8
- [ ] Run
- [ ] Run
flakeplus
against the code. The following commands are valid and equivalent.:
$ flakeplus --2.7 celery/ t/ $ make flakes $ tox -e flakeplus
- [ ] Run
- [ ] Run
pydocstyle
against the code. The following commands are valid and equivalent.:
$ pydocstyle celery/ $ tox -e pydocstyle
- [ ] Run
- [ ] Build api docs to make sure everything is OK. The following commands are valid
and equivalent.:
$ make apicheck $ cd docs && sphinx-build -b apicheck -d _build/doctrees . _build/apicheck $ tox -e apicheck
- [ ] Build configcheck. The following commands are valid
and equivalent.:
$ make configcheck $ cd docs && sphinx-build -b configcheck -d _build/doctrees . _build/configcheck $ tox -e configcheck
- [ ] Run
bandit
to make sure there's no security issues. The following commands are valid and equivalent.:
$ pip install -U bandit $ bandit -b bandit.json celery/ $ tox -e bandit
- [ ] Run
- [ ] Run unit and integration tests for every python version. The following commands are valid
and equivalent.:
$ tox -v
[ ] Confirm
isort
on any new or modified imports:$ isort my_module.py --diff
Creating pull requests is easy, and they also let you track the progress of your contribution. Read the Pull Requests section in the GitHub Guide to learn how this is done.
You can also attach pull requests to existing issues by following the steps outlined here: https://bit.ly/koJoso
You can also use hub to create pull requests. Example: https://theiconic.tech/git-hub-fbe2e13ef4d1
There are different labels used to easily manage github issues and PRs.
Most of these labels make it easy to categorize each issue with important
details. For instance, you might see a Component:canvas
label on an issue or PR.
The Component:canvas
label means the issue or PR corresponds to the canvas functionality.
These labels are set by the maintainers and for the most part external contributors
should not worry about them. A subset of these labels are prepended with Status:.
Usually the Status: labels show important actions which the issue or PR needs.
Here is a summary of such statuses:
Status: Cannot Reproduce
One or more Celery core team member has not been able to reproduce the issue.
Status: Confirmed
The issue or PR has been confirmed by one or more Celery core team member.
Status: Duplicate
A duplicate issue or PR.
Status: Feedback Needed
One or more Celery core team member has asked for feedback on the issue or PR.
Status: Has Testcase
It has been confirmed the issue or PR includes a test case. This is particularly important to correctly write tests for any new feature or bug fix.
Status: In Progress
The PR is still in progress.
Status: Invalid
The issue reported or the PR is not valid for the project.
Status: Needs Documentation
The PR does not contain documentation for the feature or bug fix proposed.
Status: Needs Rebase
The PR has not been rebased with
master
. It is very important to rebase PRs before they can be merged tomaster
to solve any merge conflicts.Status: Needs Test Coverage
Celery uses codecov to verify code coverage. Please make sure PRs do not decrease code coverage. This label will identify PRs which need code coverage.
Status: Needs Test Case
The issue or PR needs a test case. A test case can be a minimal code snippet that reproduces an issue or a detailed set of instructions and configuration values that reproduces the issue reported. If possible a test case can be submitted in the form of a PR to Celery's integration suite. The test case will be marked as failed until the bug is fixed. When a test case cannot be run by Celery's integration suite, then it's better to describe in the issue itself.
Status: Needs Verification
This label is used to notify other users we need to verify the test case offered by the reporter and/or we need to include the test in our integration suite.
Status: Not a Bug
It has been decided the issue reported is not a bug.
Status: Won't Fix
It has been decided the issue will not be fixed. Sadly the Celery project does not have unlimited resources and sometimes this decision has to be made. Although, any external contributors are invited to help out even if an issue or PR is labeled as
Status: Won't Fix
.Status: Works For Me
One or more Celery core team members have confirmed the issue reported works for them.
You should probably be able to pick up the coding style from surrounding code, but it is a good idea to be aware of the following conventions.
- All Python code must follow the PEP 8 guidelines.
:pypi:`pep8` is a utility you can use to verify that your code is following the conventions.
Docstrings must follow the PEP 257 conventions, and use the following style.
Do this:
def method(self, arg): """Short description. More details. """
or:
def method(self, arg): """Short description."""
but not this:
def method(self, arg): """ Short description. """
Lines shouldn't exceed 78 columns.
You can enforce this in :command:`vim` by setting the
textwidth
option:set textwidth=78
If adhering to this limit makes the code less readable, you have one more character to go on. This means 78 is a soft limit, and 79 is the hard limit :)
Import order
- Python standard library (import xxx)
- Python standard library (from xxx import)
- Third-party packages.
- Other modules from the current package.
or in case of code using Django:
- Python standard library (import xxx)
- Python standard library (from xxx import)
- Third-party packages.
- Django packages.
- Other modules from the current package.
Within these sections the imports should be sorted by module name.
Example:
import threading import time from collections import deque from Queue import Queue, Empty from .platforms import Pidfile from .five import zip_longest, items, range from .utils.time import maybe_timedelta
Wild-card imports must not be used (from xxx import *).
For distributions where Python 2.5 is the oldest support version, additional rules apply:
Absolute imports must be enabled at the top of every module:
from __future__ import absolute_import
If the module uses the :keyword:`with` statement and must be compatible with Python 2.5 (celery isn't), then it must also enable that:
from __future__ import with_statement
Every future import must be on its own line, as older Python 2.5 releases didn't support importing multiple features on the same future import line:
# Good from __future__ import absolute_import from __future__ import with_statement # Bad from __future__ import absolute_import, with_statement
(Note that this rule doesn't apply if the package doesn't include support for Python 2.5)
Note that we use "new-style" relative imports when the distribution doesn't support Python versions below 2.5
This requires Python 2.5 or later:
from . import submodule
Some features like a new result backend may require additional libraries that the user must install.
We use setuptools extra_requires for this, and all new optional features that require third-party libraries must be added.
Add a new requirements file in requirements/extras
For the Cassandra backend this is :file:`requirements/extras/cassandra.txt`, and the file looks like this:
pycassa
These are pip requirement files, so you can have version specifiers and multiple packages are separated by newline. A more complex example could be:
# pycassa 2.0 breaks Foo pycassa>=1.0,<2.0 thrift
Modify
setup.py
After the requirements file is added, you need to add it as an option to :file:`setup.py` in the
extras_require
section:extra['extras_require'] = { # ... 'cassandra': extras('cassandra.txt'), }
Document the new feature in :file:`docs/includes/installation.txt`
You must add your feature to the list in the :ref:`bundles` section of :file:`docs/includes/installation.txt`.
After you've made changes to this file, you need to render the distro :file:`README` file:
$ pip install -U requirements/pkgutils.txt $ make readme
That's all that needs to be done, but remember that if your feature adds additional configuration options, then these needs to be documented in :file:`docs/configuration.rst`. Also, all settings need to be added to the :file:`celery/app/defaults.py` module.
Result backends require a separate section in the :file:`docs/configuration.rst` file.
This is a list of people that can be contacted for questions regarding the official git repositories, PyPI packages Read the Docs pages.
If the issue isn't an emergency then it's better to :ref:`report an issue <reporting-bugs>`.
github: | https://github.com/ask |
---|---|
twitter: | https://twitter.com/#!/asksol |
github: | https://github.com/auvipy |
---|---|
twitter: | https://twitter.com/#!/auvipy |
github: | https://github.com/malinoff |
---|---|
twitter: | https://twitter.com/__malinoff__ |
github: | https://github.com/ionelmc |
---|---|
twitter: | https://twitter.com/ionelmc |
github: | https://github.com/mher |
---|---|
twitter: | https://twitter.com/#!/movsm |
github: | https://github.com/thedrow |
---|---|
twitter: | https://twitter.com/the_drow |
github: | https://github.com/steeve |
---|---|
twitter: | https://twitter.com/#!/steeve |
github: | https://github.com/xirdneh |
---|---|
twitter: | https://twitter.com/eusoj_xirdneh |
The Celery Project website is run and maintained by
github: | https://github.com/fireantology |
---|---|
twitter: | https://twitter.com/#!/fireantology |
with design by:
web: | http://www.helmersworks.com |
---|---|
twitter: | https://twitter.com/#!/helmers |
Messaging library.
git: | https://github.com/celery/kombu |
---|---|
CI: | https://travis-ci.org/#!/celery/kombu |
Windows-CI: | https://ci.appveyor.com/project/ask/kombu |
PyPI: | :pypi:`kombu` |
docs: | https://kombu.readthedocs.io |
Python AMQP 0.9.1 client.
git: | https://github.com/celery/py-amqp |
---|---|
CI: | https://travis-ci.org/#!/celery/py-amqp |
Windows-CI: | https://ci.appveyor.com/project/ask/py-amqp |
PyPI: | :pypi:`amqp` |
docs: | https://amqp.readthedocs.io |
Promise/deferred implementation.
git: | https://github.com/celery/vine/ |
---|---|
CI: | https://travis-ci.org/#!/celery/vine/ |
Windows-CI: | https://ci.appveyor.com/project/ask/vine |
PyPI: | :pypi:`vine` |
docs: | https://vine.readthedocs.io |
Fork of multiprocessing containing improvements that'll eventually be merged into the Python stdlib.
git: | https://github.com/celery/billiard |
---|---|
CI: | https://travis-ci.org/#!/celery/billiard/ |
Windows-CI: | https://ci.appveyor.com/project/ask/billiard |
PyPI: | :pypi:`billiard` |
Database-backed Periodic Tasks with admin interface using the Django ORM.
Store task results in the Django ORM, or using the Django Cache Framework.
Very fast Python AMQP client written in C.
git: | https://github.com/celery/librabbitmq |
---|---|
PyPI: | :pypi:`librabbitmq` |
Actor library.
git: | https://github.com/celery/cell |
---|---|
PyPI: | :pypi:`cell` |
Distributed Celery Instance manager.
git: | https://github.com/celery/cyme |
---|---|
PyPI: | :pypi:`cyme` |
docs: | https://cyme.readthedocs.io/ |
django-celery
git: | https://github.com/celery/django-celery |
---|---|
PyPI: | :pypi:`django-celery` |
docs: | http://docs.celeryproject.org/en/latest/django |
Flask-Celery
git: | https://github.com/ask/Flask-Celery |
---|---|
PyPI: | :pypi:`Flask-Celery` |
celerymon
git: | https://github.com/celery/celerymon |
---|---|
PyPI: | :pypi:`celerymon` |
carrot
git: | https://github.com/ask/carrot |
---|---|
PyPI: | :pypi:`carrot` |
ghettoq
git: | https://github.com/ask/ghettoq |
---|---|
PyPI: | :pypi:`ghettoq` |
kombu-sqlalchemy
git: | https://github.com/ask/kombu-sqlalchemy |
---|---|
PyPI: | :pypi:`kombu-sqlalchemy` |
django-kombu
git: | https://github.com/ask/django-kombu |
---|---|
PyPI: | :pypi:`django-kombu` |
pylibrabbitmq
Old name for :pypi:`librabbitmq`.
git: | :const:`None` |
---|---|
PyPI: | :pypi:`pylibrabbitmq` |
The version number must be updated in three places:
The changes to the previous files can be handled with the [bumpversion command line tool] (https://pypi.org/project/bumpversion/). The corresponding configuration lives in :file:`.bumpversion.cfg`. To do the necessary changes, run:
$ bumpversion
After you have changed these files, you must render the :file:`README` files. There's a script to convert sphinx syntax to generic reStructured Text syntax, and the make target readme does this for you:
$ make readme
Now commit the changes:
$ git commit -a -m "Bumps version to X.Y.Z"
and make a new version tag:
$ git tag vX.Y.Z
$ git push --tags
Commands to make a new public stable release:
$ make distcheck # checks pep8, autodoc index, runs tests and more
$ make dist # NOTE: Runs git clean -xdf and removes files not in the repo.
$ python setup.py sdist upload --sign --identity='Celery Security Team'
$ python setup.py bdist_wheel upload --sign --identity='Celery Security Team'
If this is a new release series then you also need to do the following:
- Go to the Read The Docs management interface at:
Enter "Edit project"
Change default branch to the branch of this series, for example, use the
2.4
branch for the 2.4 series.Also add the previous version under the "versions" tab.