#pylint: disable=no-self-use
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"""
This module is the requests implementation of Pipeline ABC
"""
from __future__ import absolute_import # we have a "requests" module that conflicts with "requests" on Py2.7
from io import SEEK_SET, UnsupportedOperation
import logging
import time
from enum import Enum
from typing import TYPE_CHECKING, List, Callable, Iterator, Any, Union, Dict, Optional # pylint: disable=unused-import
from azure.core.pipeline import PipelineResponse
from azure.core.exceptions import (
AzureError,
ClientAuthenticationError,
ServiceResponseError,
ServiceRequestError,
ServiceRequestTimeoutError,
ServiceResponseTimeoutError,
)
from ._base import HTTPPolicy, RequestHistory
from . import _utils
_LOGGER = logging.getLogger(__name__)
class RetryMode(str, Enum):
Exponential = 'exponential'
Fixed = 'fixed'
class RetryPolicy(HTTPPolicy):
"""A retry policy.
The retry policy in the pipeline can be configured directly, or tweaked on a per-call basis.
:keyword int retry_total: Total number of retries to allow. Takes precedence over other counts.
Default value is 10.
:keyword int retry_connect: How many connection-related errors to retry on.
These are errors raised before the request is sent to the remote server,
which we assume has not triggered the server to process the request. Default value is 3.
:keyword int retry_read: How many times to retry on read errors.
These errors are raised after the request was sent to the server, so the
request may have side-effects. Default value is 3.
:keyword int retry_status: How many times to retry on bad status codes. Default value is 3.
:keyword float retry_backoff_factor: A backoff factor to apply between attempts after the second try
(most errors are resolved immediately by a second try without a delay).
In fixed mode, retry policy will alwasy sleep for {backoff factor}.
In 'exponential' mode, retry policy will sleep for: `{backoff factor} * (2 ** ({number of total retries} - 1))`
seconds. If the backoff_factor is 0.1, then the retry will sleep
for [0.0s, 0.2s, 0.4s, ...] between retries. The default value is 0.8.
:keyword int retry_backoff_max: The maximum back off time. Default value is 120 seconds (2 minutes).
:keyword RetryMode retry_mode: Fixed or exponential delay between attemps, default is exponential.
:keyword int timeout: Timeout setting for the operation in seconds, default is 604800s (7 days).
.. admonition:: Example:
.. literalinclude:: ../samples/test_example_sync.py
:start-after: [START retry_policy]
:end-before: [END retry_policy]
:language: python
:dedent: 4
:caption: Configuring a retry policy.
"""
# pylint: disable=too-many-instance-attributes
#: Maximum backoff time.
BACKOFF_MAX = 120
_SAFE_CODES = set(range(506)) - set([408, 429, 500, 502, 503, 504])
_RETRY_CODES = set(range(999)) - _SAFE_CODES
def __init__(self, **kwargs):
self.total_retries = kwargs.pop('retry_total', 10)
self.connect_retries = kwargs.pop('retry_connect', 3)
self.read_retries = kwargs.pop('retry_read', 3)
self.status_retries = kwargs.pop('retry_status', 3)
self.backoff_factor = kwargs.pop('retry_backoff_factor', 0.8)
self.backoff_max = kwargs.pop('retry_backoff_max', self.BACKOFF_MAX)
self.retry_mode = kwargs.pop('retry_mode', RetryMode.Exponential)
self.timeout = kwargs.pop('timeout', 604800)
retry_codes = self._RETRY_CODES
status_codes = kwargs.pop('retry_on_status_codes', [])
self._retry_on_status_codes = set(status_codes) | retry_codes
self._method_whitelist = frozenset(['HEAD', 'GET', 'PUT', 'DELETE', 'OPTIONS', 'TRACE'])
self._respect_retry_after_header = True
super(RetryPolicy, self).__init__()
@classmethod
def no_retries(cls):
"""Disable retries.
"""
return cls(retry_total=0)
def configure_retries(self, options):
"""Configures the retry settings.
:param options: keyword arguments from context.
:return: A dict containing settings and history for retries.
:rtype: dict
"""
return {
'total': options.pop("retry_total", self.total_retries),
'connect': options.pop("retry_connect", self.connect_retries),
'read': options.pop("retry_read", self.read_retries),
'status': options.pop("retry_status", self.status_retries),
'backoff': options.pop("retry_backoff_factor", self.backoff_factor),
'max_backoff': options.pop("retry_backoff_max", self.BACKOFF_MAX),
'methods': options.pop("retry_on_methods", self._method_whitelist),
'timeout': options.pop("timeout", self.timeout),
'history': []
}
def get_backoff_time(self, settings):
"""Returns the current backoff time.
:param dict settings: The retry settings.
:return: The current backoff value.
:rtype: float
"""
# We want to consider only the last consecutive errors sequence (Ignore redirects).
consecutive_errors_len = len(settings['history'])
if consecutive_errors_len <= 1:
return 0
if self.retry_mode == RetryMode.Fixed:
backoff_value = settings['backoff']
else:
backoff_value = settings['backoff'] * (2 ** (consecutive_errors_len - 1))
return min(settings['max_backoff'], backoff_value)
def parse_retry_after(self, retry_after):
"""Helper to parse Retry-After and get value in seconds.
:param str retry_after: Retry-After header
:rtype: float
"""
return _utils.parse_retry_after(retry_after)
def get_retry_after(self, response):
"""Get the value of Retry-After in seconds.
:param response: The PipelineResponse object
:type response: ~azure.core.pipeline.PipelineResponse
:return: Value of Retry-After in seconds.
:rtype: float or None
"""
return _utils.get_retry_after(response)
def _sleep_for_retry(self, response, transport):
"""Sleep based on the Retry-After response header value.
:param response: The PipelineResponse object.
:type response: ~azure.core.pipeline.PipelineResponse
:param transport: The HTTP transport type.
"""
retry_after = self.get_retry_after(response)
if retry_after:
transport.sleep(retry_after)
return True
return False
def _sleep_backoff(self, settings, transport):
"""Sleep using exponential backoff. Immediately returns if backoff is 0.
:param dict settings: The retry settings.
:param transport: The HTTP transport type.
"""
backoff = self.get_backoff_time(settings)
if backoff <= 0:
return
transport.sleep(backoff)
def sleep(self, settings, transport, response=None):
"""Sleep between retry attempts.
This method will respect a server's ``Retry-After`` response header
and sleep the duration of the time requested. If that is not present, it
will use an exponential backoff. By default, the backoff factor is 0 and
this method will return immediately.
:param dict settings: The retry settings.
:param transport: The HTTP transport type.
:param response: The PipelineResponse object.
:type response: ~azure.core.pipeline.PipelineResponse
"""
if response:
slept = self._sleep_for_retry(response, transport)
if slept:
return
self._sleep_backoff(settings, transport)
def _is_connection_error(self, err):
"""Errors when we're fairly sure that the server did not receive the
request, so it should be safe to retry.
"""
return isinstance(err, ServiceRequestError)
def _is_read_error(self, err):
"""Errors that occur after the request has been started, so we should
assume that the server began processing it.
"""
return isinstance(err, ServiceResponseError)
def _is_method_retryable(self, settings, request, response=None):
"""Checks if a given HTTP method should be retried upon, depending if
it is included on the method whitelist.
:param dict settings: The retry settings.
:param request: The PipelineRequest object.
:type request: ~azure.core.pipeline.PipelineRequest
:param response: The PipelineResponse object.
:type response: ~azure.core.pipeline.PipelineResponse
:return: True if method should be retried upon. False if not in method whitelist.
:rtype: bool
"""
if response and request.method.upper() in ['POST', 'PATCH'] and \
response.status_code in [500, 503, 504]:
return True
if request.method.upper() not in settings['methods']:
return False
return True
def is_retry(self, settings, response):
"""Checks if method/status code is retryable.
Based on whitelists and control variables such as the number of
total retries to allow, whether to respect the Retry-After header,
whether this header is present, and whether the returned status
code is on the list of status codes to be retried upon on the
presence of the aforementioned header.
The behavior is:
- If status_code < 400: don't retry
- Else if Retry-After present: retry
- Else: retry based on the safe status code list ([408, 429, 500, 502, 503, 504])
:param dict settings: The retry settings.
:param response: The PipelineResponse object
:type response: ~azure.core.pipeline.PipelineResponse
:return: True if method/status code is retryable. False if not retryable.
:rtype: bool
"""
if response.http_response.status_code < 400:
return False
has_retry_after = bool(response.http_response.headers.get("Retry-After"))
if has_retry_after and self._respect_retry_after_header:
return True
if not self._is_method_retryable(settings, response.http_request, response=response.http_response):
return False
return settings['total'] and response.http_response.status_code in self._retry_on_status_codes
def is_exhausted(self, settings):
"""Checks if any retries left.
:param dict settings: the retry settings
:return: False if have more retries. True if retries exhausted.
:rtype: bool
"""
retry_counts = (settings['total'], settings['connect'], settings['read'], settings['status'])
retry_counts = list(filter(None, retry_counts))
if not retry_counts:
return False
return min(retry_counts) < 0
def increment(self, settings, response=None, error=None):
"""Increment the retry counters.
:param settings: The retry settings.
:param response: A pipeline response object.
:type response: ~azure.core.pipeline.PipelineResponse
:param error: An error encountered during the request, or
None if the response was received successfully.
:return: Whether any retry attempt is available
True if more retry attempts available, False otherwise
:rtype: bool
"""
settings['total'] -= 1
if isinstance(response, PipelineResponse) and response.http_response.status_code == 202:
return False
if error and self._is_connection_error(error):
# Connect retry?
settings['connect'] -= 1
settings['history'].append(RequestHistory(response.http_request, error=error))
elif error and self._is_read_error(error):
# Read retry?
settings['read'] -= 1
if hasattr(response, 'http_request'):
settings['history'].append(RequestHistory(response.http_request, error=error))
else:
# Incrementing because of a server error like a 500 in
# status_forcelist and a the given method is in the whitelist
if response:
settings['status'] -= 1
if hasattr(response, 'http_request') and hasattr(response, 'http_response'):
settings['history'].append(
RequestHistory(
response.http_request,
http_response=response.http_response
)
)
if self.is_exhausted(settings):
return False
if response.http_request.body and hasattr(response.http_request.body, 'read'):
if 'body_position' not in settings:
return False
try:
# attempt to rewind the body to the initial position
response.http_request.body.seek(settings['body_position'], SEEK_SET)
except (UnsupportedOperation, ValueError, AttributeError):
# if body is not seekable, then retry would not work
return False
file_positions = settings.get('file_positions')
if response.http_request.files and file_positions:
try:
for value in response.http_request.files.values():
file_name, body = value[0], value[1]
if file_name in file_positions:
position = file_positions[file_name]
body.seek(position, SEEK_SET)
except (UnsupportedOperation, ValueError, AttributeError):
# if body is not seekable, then retry would not work
return False
return True
def update_context(self, context, retry_settings):
"""Updates retry history in pipeline context.
:param context: The pipeline context.
:type context: ~azure.core.pipeline.PipelineContext
:param retry_settings: The retry settings.
:type retry_settings: dict
"""
if retry_settings['history']:
context['history'] = retry_settings['history']
def _configure_timeout(self, request, absolute_timeout, is_response_error):
if absolute_timeout <= 0:
if is_response_error:
raise ServiceResponseTimeoutError('Response timeout')
raise ServiceRequestTimeoutError('Request timeout')
connection_timeout = request.context.options.get('connection_timeout')
if connection_timeout:
req_timeout = min(connection_timeout, absolute_timeout)
else:
req_timeout = absolute_timeout
request.context.options['connection_timeout'] = req_timeout
def _configure_positions(self, request, retry_settings):
body_position = None
file_positions = None
if request.http_request.body and hasattr(request.http_request.body, 'read'):
try:
body_position = request.http_request.body.tell()
except (AttributeError, UnsupportedOperation):
# if body position cannot be obtained, then retries will not work
pass
else:
if request.http_request.files:
file_positions = {}
try:
for value in request.http_request.files.values():
name, body = value[0], value[1]
if name and body and hasattr(body, 'read'):
position = body.tell()
file_positions[name] = position
except (AttributeError, UnsupportedOperation):
file_positions = None
retry_settings['body_position'] = body_position
retry_settings['file_positions'] = file_positions
def send(self, request):
"""Sends the PipelineRequest object to the next policy. Uses retry settings if necessary.
:param request: The PipelineRequest object
:type request: ~azure.core.pipeline.PipelineRequest
:return: Returns the PipelineResponse or raises error if maximum retries exceeded.
:rtype: ~azure.core.pipeline.PipelineResponse
:raises: ~azure.core.exceptions.AzureError if maximum retries exceeded.
:raises: ~azure.core.exceptions.ClientAuthenticationError if authentication
"""
retry_active = True
response = None
retry_settings = self.configure_retries(request.context.options)
self._configure_positions(request, retry_settings)
absolute_timeout = retry_settings['timeout']
is_response_error = True
while retry_active:
try:
start_time = time.time()
self._configure_timeout(request, absolute_timeout, is_response_error)
response = self.next.send(request)
if self.is_retry(retry_settings, response):
retry_active = self.increment(retry_settings, response=response)
if retry_active:
self.sleep(retry_settings, request.context.transport, response=response)
is_response_error = True
continue
break
except ClientAuthenticationError: # pylint:disable=try-except-raise
# the authentication policy failed such that the client's request can't
# succeed--we'll never have a response to it, so propagate the exception
raise
except AzureError as err:
if self._is_method_retryable(retry_settings, request.http_request):
retry_active = self.increment(retry_settings, response=request, error=err)
if retry_active:
self.sleep(retry_settings, request.context.transport)
if isinstance(err, ServiceRequestError):
is_response_error = False
else:
is_response_error = True
continue
raise err
finally:
end_time = time.time()
if absolute_timeout:
absolute_timeout -= (end_time - start_time)
self.update_context(response.context, retry_settings)
return response