celery.backends.redis

Redis result store backend.

class celery.backends.redis.RedisBackend(host=None, port=None, db=None, password=None, max_connections=None, url=None, connection_pool=None, **kwargs)

Redis task result store.

It makes use of the following commands: GET, MGET, DEL, INCRBY, EXPIRE, SET, SETEX

property ConnectionPool

class ResultConsumer(*args, **kwargs)

cancel_for(task_id)

consume_from(task_id)

drain_events(timeout=None)

on_after_fork()

on_state_change(meta, message)

on_wait_for_pending(result, **kwargs)

reconnect_on_error()

start(initial_task_id, **kwargs)

stop()

add_to_chord(group_id, result)

apply_chord(header_result_args, body, **kwargs)

property client

connection_class_ssl

SSLConnection 的别名

delete(key)

ensure(fun, args, **policy)

exception_safe_to_retry(exc)

Check if an exception is safe to retry.

Backends have to overload this method with correct predicates dealing with their exceptions.

By default no exception is safe to retry, it's up to backend implementation to define which exceptions are safe.

expire(key, value)

forget(task_id)

get(key)

incr(key)

max_connections = None

Maximum number of connections in the pool.

mget(keys)

on_chord_part_return(request, state, result, propagate=None, **kwargs)

on_connection_error(max_retries, exc, intervals, retries)

on_task_call(producer, task_id)

redis = <module 'redis' from '/opt/hostedtoolcache/Python/3.12.10/x64/lib/python3.12/site-packages/redis/__init__.py'>

https://pypi.org/project/redis/ client module.

property retry_policy

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:

d = {} for k, v in iterable:

d[k] = v

dict(**kwargs) -> new dictionary initialized with the name=value pairs

in the keyword argument list. For example: dict(one=1, two=2)

set(key, value, **retry_policy)

set_chord_size(group_id, chord_size)

supports_autoexpire = True

If true the backend must automatically expire results. The daily backend_cleanup periodic task won't be triggered in this case.

supports_native_join = True

If true the backend must implement get_many().

class celery.backends.redis.SentinelBackend(*args, **kwargs)

Redis sentinel task result store.

as_uri(include_password=False)

Return the server addresses as URIs, sanitizing the password or not.

connection_class_ssl

SentinelManagedSSLConnection 的别名

sentinel = <module 'redis.sentinel' from '/opt/hostedtoolcache/Python/3.12.10/x64/lib/python3.12/site-packages/redis/sentinel.py'>