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common retry and rate limiting decorators for apis
allows modules to wrap their request functions in common retry and rate limiting decorators or functions
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103
lib/ansible/module_utils/api.py
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103
lib/ansible/module_utils/api.py
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#
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# (c) 2015 Brian Ccoa, <bcoca@ansible.com>
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#
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# This file is part of Ansible
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#
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# Ansible is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Ansible is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
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#
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"""
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This module adds shared support for generic api modules
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In order to use this module, include it as part of a custom
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module as shown below.
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** Note: The order of the import statements does matter. **
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from ansible.module_utils.basic import *
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from ansible.module_utils.api import *
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The 'api' module provides the following common argument specs:
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* rate limit spec
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- rate: number of requests per time unit (int)
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- rate_limit: time window in which the limit is applied in seconds
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* retry spec
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- retries: number of attempts
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- retry_pause: delay between attempts in seconds
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"""
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import time
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def rate_limit_argument_spec(spec=None):
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"""Creates an argument spec for working with rate limiting"""
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arg_spec = (dict(
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rate=dict(type='int'),
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rate_limit=dict(type='int'),
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))
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if spec:
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arg_spec.update(spec)
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return arg_spec
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def retry_argument_spec(spec=None):
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"""Creates an argument spec for working with retrying"""
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arg_spec = (dict(
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retries=dict(type='int'),
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retry_pause=dict(type='float', default=1),
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))
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if spec:
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arg_spec.update(spec)
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return arg_spec
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def rate_limit(rate=None, rate_limit=None):
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"""rate limiting decorator"""
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minrate = None
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if rate is not None and rate_limit is not None:
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minrate = float(rate_limit) / float(rate)
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def wrapper(f):
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last = [0.0]
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def ratelimited(*args,**kwargs):
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if minrate is not None:
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elapsed = time.clock() - last[0]
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left = minrate - elapsed
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if left > 0:
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time.sleep(left)
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last[0] = time.clock()
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ret = f(*args,**kwargs)
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return ret
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return ratelimited
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return wrapper
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def retry(retries=None, retry_pause=1):
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"""Retry decorator"""
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def wrapper(f):
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retry_count = 0
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def retried(*args,**kwargs):
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if retries is not None:
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ret = None
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while True:
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retry_count += 1
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if retry_count >= retries:
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raise Exception("Retry limit exceeded: %d" % retries)
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try:
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ret = f(*args,**kwargs)
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except:
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pass
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if ret:
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break
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time.sleep(retry_pause)
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return ret
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return retried
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return wrapper
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