This document describes the current stable version of Celery (3.1). For development docs, go here.

celery.events.state

celery.events.state

This module implements a datastructure used to keep track of the state of a cluster of workers and the tasks it is working on (by consuming events).

For every event consumed the state is updated, so the state represents the state of the cluster at the time of the last event.

Snapshots (celery.events.snapshot) can be used to take “pictures” of this state at regular intervals to e.g. store that in a database.

class celery.events.state.Worker(hostname=None, pid=None, freq=60, heartbeats=None, clock=0, active=None, processed=None, loadavg=None, sw_ident=None, sw_ver=None, sw_sys=None)

Worker State.

active

alive

clock

event

expire_window = 200

freq

heartbeat_expires

heartbeat_max = 4

heartbeats

hostname

id

loadavg

on_heartbeat(*args, **kwargs)

on_offline(*args, **kwargs)

on_online(*args, **kwargs)

pid

processed

status_string

sw_ident

sw_sys

sw_ver

update(f, **kw)

update_heartbeat(*args, **kwargs)

class celery.events.state.Task(uuid=None, **kwargs)

Task State.

args = None

as_dict()

client = None

clock = 0

eta = None

event(type_, timestamp=None, local_received=None, fields=None, precedence=<function precedence>, items=<function items>, dict=<type 'dict'>, PENDING='PENDING', RECEIVED='RECEIVED', STARTED='STARTED', FAILURE='FAILURE', RETRY='RETRY', SUCCESS='SUCCESS', REVOKED='REVOKED')

exception = None

exchange = None

expires = None

failed = None

info(fields=None, extra=[])

Information about this task suitable for on-screen display.

kwargs = None

merge(*args, **kwargs)

merge_rules = {'RECEIVED': ('name', 'args', 'kwargs', 'retries', 'eta', 'expires')}

How to merge out of order events. Disorder is detected by logical ordering (e.g. task-received must have happened before a task-failed event).

A merge rule consists of a state and a list of fields to keep from that state. (RECEIVED, ('name', 'args'), means the name and args fields are always taken from the RECEIVED state, and any values for these fields received before or after is simply ignored.

name = None

on_failed(*args, **kwargs)

on_received(*args, **kwargs)

on_retried(*args, **kwargs)

on_revoked(*args, **kwargs)

on_sent(*args, **kwargs)

on_started(*args, **kwargs)

on_succeeded(*args, **kwargs)

on_unknown_event(*args, **kwargs)

origin

ready

received = None

result = None

retried = None

retries = None

revoked = None

routing_key = None

runtime = None

sent = None

started = None

state = 'PENDING'

succeeded = None

timestamp = None

traceback = None

update(*args, **kwargs)

worker = None

class celery.events.state.State(callback=None, workers=None, tasks=None, taskheap=None, max_workers_in_memory=5000, max_tasks_in_memory=10000, on_node_join=None, on_node_leave=None)

Records clusters state.

class Task(uuid=None, **kwargs)

Task State.

args = None

as_dict()

client = None

clock = 0

eta = None

event(type_, timestamp=None, local_received=None, fields=None, precedence=<function precedence>, items=<function items>, dict=<type 'dict'>, PENDING='PENDING', RECEIVED='RECEIVED', STARTED='STARTED', FAILURE='FAILURE', RETRY='RETRY', SUCCESS='SUCCESS', REVOKED='REVOKED')

exception = None

exchange = None

expires = None

failed = None

info(fields=None, extra=[])

Information about this task suitable for on-screen display.

kwargs = None

merge(*args, **kwargs)

merge_rules = {'RECEIVED': ('name', 'args', 'kwargs', 'retries', 'eta', 'expires')}

name = None

on_failed(*args, **kwargs)

on_received(*args, **kwargs)

on_retried(*args, **kwargs)

on_revoked(*args, **kwargs)

on_sent(*args, **kwargs)

on_started(*args, **kwargs)

on_succeeded(*args, **kwargs)

on_unknown_event(*args, **kwargs)

origin

ready

received = None

result = None

retried = None

retries = None

revoked = None

routing_key = None

runtime = None

sent = None

started = None

state = 'PENDING'

succeeded = None

timestamp = None

traceback = None

update(*args, **kwargs)

worker = None

class Worker(hostname=None, pid=None, freq=60, heartbeats=None, clock=0, active=None, processed=None, loadavg=None, sw_ident=None, sw_ver=None, sw_sys=None)

Worker State.

active

alive

clock

event

expire_window = 200

freq

heartbeat_expires

heartbeat_max = 4

heartbeats

hostname

id

loadavg

on_heartbeat(*args, **kwargs)

on_offline(*args, **kwargs)

on_online(*args, **kwargs)

pid

processed

status_string

sw_ident

sw_sys

sw_ver

update(f, **kw)

update_heartbeat(*args, **kwargs)

alive_workers()

Return a list of (seemingly) alive workers.

clear(ready=True)

clear_tasks(ready=True)

event(event)

event_count = 0

freeze_while(fun, *args, **kwargs)

get_or_create_task(uuid)

Get or create task by uuid.

get_or_create_worker(hostname, **kwargs)

Get or create worker by hostname.

Return tuple of (worker, was_created).

heap_multiplier = 4

itertasks(limit=None)

rebuild_taskheap(timetuple=<class 'kombu.clocks.timetuple'>)

task_count = 0

task_event(type_, fields)

Deprecated, use event().

task_types()

Return a list of all seen task types.

tasks_by_time(limit=None)

Generator giving tasks ordered by time, in (uuid, Task) tuples.

tasks_by_timestamp(limit=None)

Generator giving tasks ordered by time, in (uuid, Task) tuples.

tasks_by_type(name, limit=None)

Get all tasks by type.

Return a list of (uuid, Task) tuples.

tasks_by_worker(hostname, limit=None)

Get all tasks by worker.

worker_event(type_, fields)

Deprecated, use event().

celery.events.state.heartbeat_expires(timestamp, freq=60, expire_window=200, Decimal=<class 'decimal.Decimal'>, float=<type 'float'>, isinstance=<built-in function isinstance>)