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Function decoration for pluggable backoff & retry
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__pycache__/ | ||
*.pyc | ||
.coverage | ||
virtualenv |
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The MIT License (MIT) | ||
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Copyright (c) 2014 litl, LLC. | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in | ||
all copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN | ||
THE SOFTWARE. |
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.PHONY: all pep8 pyflakes clean test check docs | ||
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all: | ||
@echo 'pep8 check pep8 compliance' | ||
@echo 'pyflakes check for unused imports (requires pyflakes)' | ||
@echo 'clean cleanup the source tree' | ||
@echo 'test run the unit tests' | ||
@echo 'check make sure you are ready to commit' | ||
@echo 'docs generate README.md from module docstring' | ||
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pep8: | ||
@pep8 backoff.py backoff_tests.py | ||
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pyflakes: | ||
@pyflakes backoff.py backoff_tests.py | ||
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clean: | ||
@find . -name "*.pyc" -delete | ||
@find . -name "__pycache__" -delete | ||
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test: clean | ||
@PYTHONPATH=. py.test --cov-report term-missing --cov backoff.py backoff_tests.py | ||
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check: pep8 pyflakes test | ||
@coverage report | grep 100% >/dev/null || { echo 'Unit tests coverage is incomplete.'; exit 1; } | ||
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docs: | ||
@python -c 'import backoff ; print "# backoff" ; print backoff.__doc__' > README.md |
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# backoff | ||
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Function decoration for pluggable backoff and retry | ||
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This module provides function decorators which can be used to wrap a | ||
function such that it will be retried until some condition is met. It | ||
is meant to be of use when accessing unreliable resources with the | ||
potential for intermittent failures i.e. network resources and external | ||
APIs. Somewhat more generally, it may also be of use for dynamically | ||
polling resources for externally generated content. | ||
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## Examples | ||
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*Since Kenneth Reitz's [requests](http://python-requests.org) module | ||
has become a defacto standard for HTTP clients in python, networking | ||
examples below are written using it, but it is in no way required by | ||
the backoff module.* | ||
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### @backoff.on_exception | ||
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The on_exception decorator is used to retry when a specified exception | ||
is raised. Here's an example using exponential backoff when any | ||
requests exception is raised: | ||
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@backoff.on_exception(backoff.expo, | ||
requests.exceptions.RequestException, | ||
max_tries=8) | ||
def get_url(url): | ||
return requests.get(url) | ||
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### @backoff.on_predicate | ||
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The on_predicate decorator is used to retry when a particular condition | ||
is true of the return value of the target function. This may be useful | ||
when polling a resource for externally generated content. | ||
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Here's an example which uses a fibonacci sequence backoff when the | ||
return value of the target function is the empty list: | ||
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@backoff.on_predicate(backoff.fibo, lambda x: x == [], max_value=13) | ||
def poll_for_messages(queue): | ||
return queue.get() | ||
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Extra keyword arguments are passed when initializing the | ||
wait_generator, so the max_value param above is used to initialize the | ||
fibo generator. | ||
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When not specified, the predicate param defaults to the falsey test, | ||
so the above can more concisely be written: | ||
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@backoff.on_predicate(backoff.fibo, max_value=13) | ||
def poll_for_message(queue) | ||
return queue.get() | ||
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More simply, function which continues polling every second until it | ||
gets a non falsey result could be defined like like this: | ||
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@backoff.on_predicate(backoff.constant, interval=1) | ||
def poll_for_message(queue) | ||
return queue.get() | ||
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### Using multiple decorators | ||
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It can also be useful to combine backoff decorators to define | ||
different backoff behavior for different cases: | ||
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@backoff.on_predicate(backoff.fibo, max_value=13) | ||
@backoff.on_exception(backoff.expo, | ||
requests.exceptions.HTTPError, | ||
max_tries=4) | ||
@backoff.on_exception(backoff.expo, | ||
requests.exceptions.TimeoutError, | ||
max_tries=8) | ||
def poll_for_message(queue): | ||
return queue.get() | ||
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### Logging configuration | ||
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Errors and backoff/retry attempts are logged to the 'backoff' logger. | ||
By default, this logger is configured with a NullHandler, so there will | ||
be nothing output unless you configure a handler. Programmatically, | ||
this might be accomplished with something as simple as: | ||
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logging.getLogger('backoff').addHandler(logging.StreamHandler()) | ||
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The default logging level is ERROR, which correponds to logging anytime | ||
max_tries is exceeded as well as any time a retryable exception is | ||
raised. If you would instead like to log any type of retry, you can | ||
instead set the logger level to INFO: | ||
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logging.getLogger('backoff').setLevel(logging.INFO) | ||
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