Source code for dramatiq.middleware.retries

# This file is a part of Dramatiq.
# Copyright (C) 2017,2018 CLEARTYPE SRL <[email protected]>
# Dramatiq is free software; you can redistribute it and/or modify it
# under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or (at
# your option) any later version.
# Dramatiq is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# License for more details.
# You should have received a copy of the GNU Lesser General Public License
# along with this program.  If not, see <>.

import traceback

from ..common import compute_backoff
from ..errors import Retry
from ..logging import get_logger
from .middleware import Middleware

#: The default minimum amount of backoff to apply to retried tasks.

#: The default maximum amount of backoff to apply to retried tasks.
#: Must be less than the max amount of time tasks can be delayed by.
DEFAULT_MAX_BACKOFF = 86400000 * 7

[docs] class Retries(Middleware): """Middleware that automatically retries failed tasks with exponential backoff. Disabling this middleware will cause messages that fail due to exceptions to be marked 'done' rather than 'failed'. If you don't want actors to retry automatically, it's better to set their ``max_retries`` options to ``0`` than to remove this middleware. If you need to intentionally retry an actor and you don't want the exception to get logged, then consider raising the :class:`Retry<dramatiq.Retry>` exception from within your actor. Actors that have their ``throws`` option set to an exception class or a tuple of exception classes will not be retried if one of those exceptions is raised within them. For example:: >>> @actor(throws=(RuntimeError,)) ... def example(): ... raise RuntimeError("never retried") Parameters: max_retries(int): The maximum number of times tasks can be retried. min_backoff(int): The minimum amount of backoff milliseconds to apply to retried tasks. Defaults to 15 seconds. max_backoff(int): The maximum amount of backoff milliseconds to apply to retried tasks. Defaults to 7 days. retry_when(Callable[[int, Exception], bool]): An optional predicate that can be used to programmatically determine whether a task should be retried or not. This takes precedence over `max_retries` when set. """ def __init__(self, *, max_retries=20, min_backoff=None, max_backoff=None, retry_when=None): self.logger = get_logger(__name__, type(self)) self.max_retries = max_retries self.min_backoff = min_backoff or DEFAULT_MIN_BACKOFF self.max_backoff = max_backoff or DEFAULT_MAX_BACKOFF self.retry_when = retry_when @property def actor_options(self): return { "max_retries", "min_backoff", "max_backoff", "retry_when", "throws", } def after_process_message(self, broker, message, *, result=None, exception=None): if exception is None: return actor = broker.get_actor(message.actor_name) throws = message.options.get("throws") or actor.options.get("throws") if throws and isinstance(exception, throws):"Aborting message %r.", message.message_id) return retries = message.options.setdefault("retries", 0) message.options["retries"] += 1 message.options["traceback"] = traceback.format_exc(limit=30) max_retries = message.options.get("max_retries") or actor.options.get("max_retries", self.max_retries) retry_when = actor.options.get("retry_when", self.retry_when) if retry_when is not None and not retry_when(retries, exception) or \ retry_when is None and max_retries is not None and retries >= max_retries: self.logger.warning("Retries exceeded for message %r.", message.message_id) return if isinstance(exception, Retry) and exception.delay is not None: delay = exception.delay else: min_backoff = message.options.get("min_backoff", actor.options.get("min_backoff", self.min_backoff)) max_backoff = message.options.get("max_backoff", actor.options.get("max_backoff", self.max_backoff)) max_backoff = min(max_backoff, DEFAULT_MAX_BACKOFF) _, delay = compute_backoff(retries, factor=min_backoff, max_backoff=max_backoff)"Retrying message %r in %d milliseconds.", message.message_id, delay) broker.enqueue(message, delay=delay)