Signals — Celery 5.5.0rc1 documentation (original) (raw)

This document describes the current stable version of Celery (5.5). For development docs,go here.

Signals allow decoupled applications to receive notifications when certain actions occur elsewhere in the application.

Celery ships with many signals that your application can hook into to augment behavior of certain actions.

Basics

Several kinds of events trigger signals, you can connect to these signals to perform actions as they trigger.

Example connecting to the after_task_publish signal:

from celery.signals import after_task_publish

@after_task_publish.connect def task_sent_handler(sender=None, headers=None, body=None, **kwargs): # information about task are located in headers for task messages # using the task protocol version 2. info = headers if 'task' in headers else body print('after_task_publish for task id {info[id]}'.format( info=info, ))

Some signals also have a sender you can filter by. For example theafter_task_publish signal uses the task name as a sender, so by providing the sender argument toconnect you can connect your handler to be called every time a task with name “proj.tasks.add”is published:

@after_task_publish.connect(sender='proj.tasks.add') def task_sent_handler(sender=None, headers=None, body=None, **kwargs): # information about task are located in headers for task messages # using the task protocol version 2. info = headers if 'task' in headers else body print('after_task_publish for task id {info[id]}'.format( info=info, ))

Signals use the same implementation as django.core.dispatch. As a result other keyword parameters (e.g., signal) are passed to all signal handlers by default.

The best practice for signal handlers is to accept arbitrary keyword arguments (i.e., **kwargs). That way new Celery versions can add additional arguments without breaking user code.

Signals

Task Signals

before_task_publish

Added in version 3.1.

Dispatched before a task is published. Note that this is executed in the process sending the task.

Sender is the name of the task being sent.

Provides arguments:

after_task_publish

Dispatched when a task has been sent to the broker. Note that this is executed in the process that sent the task.

Sender is the name of the task being sent.

Provides arguments:

task_prerun

Dispatched before a task is executed.

Sender is the task object being executed.

Provides arguments:

task_postrun

Dispatched after a task has been executed.

Sender is the task object executed.

Provides arguments:

task_retry

Dispatched when a task will be retried.

Sender is the task object.

Provides arguments:

task_success

Dispatched when a task succeeds.

Sender is the task object executed.

Provides arguments

task_failure

Dispatched when a task fails.

Sender is the task object executed.

Provides arguments:

task_internal_error

Dispatched when an internal Celery error occurs while executing the task.

Sender is the task object executed.

Provides arguments:

task_received

Dispatched when a task is received from the broker and is ready for execution.

Sender is the consumer object.

Provides arguments:

task_revoked

Dispatched when a task is revoked/terminated by the worker.

Sender is the task object revoked/terminated.

Provides arguments:

task_unknown

Dispatched when a worker receives a message for a task that’s not registered.

Sender is the worker Consumer.

Provides arguments:

task_rejected

Dispatched when a worker receives an unknown type of message to one of its task queues.

Sender is the worker Consumer.

Provides arguments:

App Signals

import_modules

This signal is sent when a program (worker, beat, shell) etc, asks for modules in the include and importssettings to be imported.

Sender is the app instance.

Worker Signals

celeryd_after_setup

This signal is sent after the worker instance is set up, but before it calls run. This means that any queues from the celery worker -Qoption is enabled, logging has been set up and so on.

It can be used to add custom queues that should always be consumed from, disregarding the celery worker -Q option. Here’s an example that sets up a direct queue for each worker, these queues can then be used to route a task to any specific worker:

from celery.signals import celeryd_after_setup

@celeryd_after_setup.connect def setup_direct_queue(sender, instance, **kwargs): queue_name = '{0}.dq'.format(sender) # sender is the nodename of the worker instance.app.amqp.queues.select_add(queue_name)

Provides arguments:

celeryd_init

This is the first signal sent when celery worker starts up. The sender is the host name of the worker, so this signal can be used to setup worker specific configuration:

from celery.signals import celeryd_init

@celeryd_init.connect(sender='worker12@example.com') def configure_worker12(conf=None, **kwargs): conf.task_default_rate_limit = '10/m'

or to set up configuration for multiple workers you can omit specifying a sender when you connect:

from celery.signals import celeryd_init

@celeryd_init.connect def configure_workers(sender=None, conf=None, **kwargs): if sender in ('worker1@example.com', 'worker2@example.com'): conf.task_default_rate_limit = '10/m' if sender == 'worker3@example.com': conf.worker_prefetch_multiplier = 0

Provides arguments:

worker_init

Dispatched before the worker is started.

worker_before_create_process

Dispatched in the parent process, just before new child process is created in the prefork pool. It can be used to clean up instances that don’t behave well when forking.

@signals.worker_before_create_process.connect def clean_channels(**kwargs): grpc_singleton.clean_channel()

worker_ready

Dispatched when the worker is ready to accept work.

heartbeat_sent

Dispatched when Celery sends a worker heartbeat.

Sender is the celery.worker.heartbeat.Heart instance.

worker_shutting_down

Dispatched when the worker begins the shutdown process.

Provides arguments:

worker_process_init

Dispatched in all pool child processes when they start.

Note that handlers attached to this signal mustn’t be blocking for more than 4 seconds, or the process will be killed assuming it failed to start.

worker_process_shutdown

Dispatched in all pool child processes just before they exit.

Note: There’s no guarantee that this signal will be dispatched, similarly to finally blocks it’s impossible to guarantee that handlers will be called at shutdown, and if called it may be interrupted during.

Provides arguments:

worker_shutdown

Dispatched when the worker is about to shut down.

Beat Signals

beat_init

Dispatched when celery beat starts (either standalone or embedded).

Sender is the celery.beat.Service instance.

beat_embedded_init

Dispatched in addition to the beat_init signal when celery beat is started as an embedded process.

Sender is the celery.beat.Service instance.

Eventlet Signals

eventlet_pool_started

Sent when the eventlet pool has been started.

Sender is the celery.concurrency.eventlet.TaskPool instance.

eventlet_pool_preshutdown

Sent when the worker shutdown, just before the eventlet pool is requested to wait for remaining workers.

Sender is the celery.concurrency.eventlet.TaskPool instance.

eventlet_pool_postshutdown

Sent when the pool has been joined and the worker is ready to shutdown.

Sender is the celery.concurrency.eventlet.TaskPool instance.

eventlet_pool_apply

Sent whenever a task is applied to the pool.

Sender is the celery.concurrency.eventlet.TaskPool instance.

Provides arguments:

Logging Signals

setup_logging

Celery won’t configure the loggers if this signal is connected, so you can use this to completely override the logging configuration with your own.

If you’d like to augment the logging configuration setup by Celery then you can use the after_setup_logger andafter_setup_task_logger signals.

Provides arguments:

after_setup_logger

Sent after the setup of every global logger (not task loggers). Used to augment logging configuration.

Provides arguments:

after_setup_task_logger

Sent after the setup of every single task logger. Used to augment logging configuration.

Provides arguments:

Command signals

user_preload_options

This signal is sent after any of the Celery command line programs are finished parsing the user preload options.

It can be used to add additional command-line arguments to thecelery umbrella command:

from celery import Celery from celery import signals from celery.bin.base import Option

app = Celery() app.user_options['preload'].add(Option( '--monitoring', action='store_true', help='Enable our external monitoring utility, blahblah', ))

@signals.user_preload_options.connect def handle_preload_options(options, **kwargs): if options['monitoring']: enable_monitoring()

Sender is the Command instance, and the value depends on the program that was called (e.g., for the umbrella command it’ll be a CeleryCommand) object).

Provides arguments:

Deprecated Signals

task_sent

This signal is deprecated, please use after_task_publish instead.