azure.core.pipeline.policies

class azure.core.pipeline.policies.HTTPPolicy[source]

An HTTP policy ABC.

Use with a synchronous pipeline.

Parameters

next (HTTPPolicy or HttpTransport) – Use to process the next policy in the pipeline. Set when pipeline is instantiated and all policies chained.

abstract send(request)[source]

Abstract send method for a synchronous pipeline. Mutates the request.

Context content is dependent on the HttpTransport.

Parameters

request (PipelineRequest) – The pipeline request object

Returns

The pipeline response object.

Return type

PipelineResponse

class azure.core.pipeline.policies.SansIOHTTPPolicy[source]

Represents a sans I/O policy.

SansIOHTTPPolicy is a base class for policies that only modify or mutate a request based on the HTTP specification, and do no depend on the specifics of any particular transport. SansIOHTTPPolicy subclasses will function in either a Pipeline or an AsyncPipeline, and can act either before the request is done, or after. You can optionally make these methods coroutines (or return awaitable objects) but they will then be tied to AsyncPipeline usage.

on_exception(request)[source]

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)[source]

Is executed before sending the request from next policy.

Parameters

request (PipelineRequest) – Request to be modified before sent from next policy.

on_response(request, response)[source]

Is executed after the request comes back from the policy.

Parameters
class azure.core.pipeline.policies.BearerTokenCredentialPolicy(credential, *scopes, **kwargs)[source]

Adds a bearer token Authorization header to requests.

Parameters
  • credential (TokenCredential) – The credential.

  • scopes (str) – Lets you specify the type of access needed.

Raises

ServiceRequestError

on_exception(request)

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)[source]

Adds a bearer token Authorization header to request and sends request to next policy.

Parameters

request (PipelineRequest) – The pipeline request object

on_response(request, response)

Is executed after the request comes back from the policy.

Parameters
class azure.core.pipeline.policies.HeadersPolicy(base_headers=None, **kwargs)[source]

A simple policy that sends the given headers with the request.

This will overwrite any headers already defined in the request. Headers can be configured up front, where any custom headers will be applied to all outgoing operations, and additional headers can also be added dynamically per operation.

Parameters

base_headers (dict) – Headers to send with the request.

Example:

Configuring a headers policy.
from azure.core.pipeline.policies import HeadersPolicy

headers_policy = HeadersPolicy()
headers_policy.add_header('CustomValue', 'Foo')

# Or headers can be added per operation. These headers will supplement existing headers
# or those defined in the config headers policy. They will also overwrite existing
# identical headers.
policies.append(headers_policy)
client = PipelineClient(base_url=url, policies=policies)
request = client.get(url)
pipeline_response = client._pipeline.run(request, headers={'CustomValue': 'Bar'})
add_header(key, value)[source]

Add a header to the configuration to be applied to all requests.

Parameters
  • key (str) – The header.

  • value (str) – The header’s value.

on_exception(request)

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)[source]

Updates with the given headers before sending the request to the next policy.

Parameters

request (PipelineRequest) – The PipelineRequest object

on_response(request, response)

Is executed after the request comes back from the policy.

Parameters
property headers

The current headers collection.

class azure.core.pipeline.policies.UserAgentPolicy(base_user_agent=None, **kwargs)[source]

User-Agent Policy. Allows custom values to be added to the User-Agent header.

Parameters

base_user_agent (str) – Sets the base user agent value.

Keyword Arguments
  • user_agent_overwrite (bool) – Overwrites User-Agent when True. Defaults to False.

  • user_agent_use_env (bool) – Gets user-agent from environment. Defaults to True.

Example:

Configuring a user agent policy.
from azure.core.pipeline.policies import UserAgentPolicy

user_agent_policy = UserAgentPolicy()

# The user-agent policy allows you to append a custom value to the header.
user_agent_policy.add_user_agent("CustomValue")

# You can also pass in a custom value per operation to append to the end of the user-agent.
# This can be used together with the policy configuration to append multiple values.
policies=[
    redirect_policy,
    user_agent_policy,
]
client = PipelineClient(base_url=url, policies=policies)
request = client.get(url)
pipeline_response = client._pipeline.run(request, user_agent="AnotherValue")
add_user_agent(value)[source]

Add value to current user agent with a space. :param str value: value to add to user agent.

on_exception(request)

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)[source]

Modifies the User-Agent header before the request is sent.

Parameters

request (PipelineRequest) – The PipelineRequest object

on_response(request, response)

Is executed after the request comes back from the policy.

Parameters
property user_agent

The current user agent value.

class azure.core.pipeline.policies.NetworkTraceLoggingPolicy(logging_enable=False, **kwargs)[source]

The logging policy in the pipeline is used to output HTTP network trace to the configured logger.

This accepts both global configuration, and per-request level with “enable_http_logger”

Parameters

logging_enable (bool) – Use to enable per operation. Defaults to False.

Example:

Configuring a network trace logging policy.
from azure.core.pipeline.policies import NetworkTraceLoggingPolicy
import sys
import logging

# Create a logger for the 'azure' SDK
logger = logging.getLogger("azure")
logger.setLevel(logging.DEBUG)

# Configure a console output
handler = logging.StreamHandler(stream=sys.stdout)
logger.addHandler(handler)

# Configure a file output
file_handler = logging.FileHandler(filename)
logger.addHandler(file_handler)

# Enable network trace logging. This will be logged at DEBUG level.
# By default, logging is disabled.
logging_policy = NetworkTraceLoggingPolicy()
logging_policy.enable_http_logger = True

# The logger can also be enabled per operation.
policies.append(logging_policy)
client = PipelineClient(base_url=url, policies=policies)
request = client.get(url)
pipeline_response = client._pipeline.run(request, logging_enable=True)

on_exception(request)

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)[source]

Logs HTTP request to the DEBUG logger.

Parameters

request (PipelineRequest) – The PipelineRequest object.

on_response(request, response)[source]

Logs HTTP response to the DEBUG logger.

Parameters
class azure.core.pipeline.policies.ContentDecodePolicy[source]

Policy for decoding unstreamed response content.

classmethod deserialize_from_http_generics(response)[source]

Deserialize from HTTP response.

Headers will tested for “content-type”

Parameters

response – The HTTP response

Raises

DecodeError – If deserialization fails

Returns

A dict or XML tree, depending of the mime-type

classmethod deserialize_from_text(data, mime_type=None, response=None)[source]

Decode response data according to content-type.

Accept a stream of data as well, but will be load at once in memory for now. If no content-type, will return the string version (not bytes, not stream)

Parameters
  • response (HttpResponse) – The HTTP response.

  • mime_type (str) – The mime type. As mime type, charset is not expected.

  • response – If passed, exception will be annotated with that response

Raises

DecodeError – If deserialization fails

Returns

A dict or XML tree, depending of the mime_type

on_exception(request)

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)

Is executed before sending the request from next policy.

Parameters

request (PipelineRequest) – Request to be modified before sent from next policy.

on_response(request, response)[source]

Extract data from the body of a REST response object. This will load the entire payload in memory. Will follow Content-Type to parse. We assume everything is UTF8 (BOM acceptable).

Parameters
  • request (PipelineRequest) – The PipelineRequest object.

  • response (PipelineResponse) – The PipelineResponse object.

  • raw_data – Data to be processed.

  • content_type – How to parse if raw_data is a string/bytes.

Raises
CONTEXT_NAME = 'deserialized_data'
JSON_REGEXP = re.compile('^(application|text)/([0-9a-z+.]+\\+)?json$')
class azure.core.pipeline.policies.RetryPolicy(**kwargs)[source]

A retry policy.

The retry policy in the pipeline can be configured directly, or tweaked on a per-call basis.

Keyword Arguments
  • retry_total (int) – Total number of retries to allow. Takes precedence over other counts. Default value is 10.

  • retry_connect (int) – 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.

  • retry_read (int) – 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.

  • retry_status (int) – How many times to retry on bad status codes. Default value is 3.

  • retry_backoff_factor (float) – A backoff factor to apply between attempts after the second try (most errors are resolved immediately by a second try without a delay). 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.

  • retry_backoff_max (int) – The maximum back off time. Default value is 120 seconds (2 minutes).

Example:

Configuring a retry policy.
from azure.core.pipeline.policies import RetryPolicy

retry_policy = RetryPolicy()

# Total number of retries to allow. Takes precedence over other counts.
# Default value is 10.
retry_policy.total_retries = 5

# 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
retry_policy.connect_retries = 2

# 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.
retry_policy.read_retries = 4

# How many times to retry on bad status codes. Default value is 3.
retry_policy.status_retries = 3

# A backoff factor to apply between attempts after the second try
# (most errors are resolved immediately by a second try without a delay).
# 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.
retry_policy.backoff_factor = 0.5

# The maximum back off time. Default value is 120 seconds (2 minutes).
retry_policy.backoff_max = 120

# Alternatively you can disable redirects entirely
retry_policy = RetryPolicy.no_retries()

# All of these settings can also be configured per operation.
policies.append(retry_policy)
client = PipelineClient(base_url=url, policies=policies)
request = client.get(url)
pipeline_response = client._pipeline.run(
    request,
    retry_total=10,
    retry_connect=1,
    retry_read=1,
    retry_status=5,
    retry_backoff_factor=0.5,
    retry_backoff_max=120,
    retry_on_methods=['GET']
)
configure_retries(options)[source]

Configures the retry settings.

Parameters

options – keyword arguments from context.

Returns

A dict containing settings and history for retries.

Return type

dict

get_backoff_time(settings)[source]

Returns the current backoff time.

Parameters

settings (dict) – The retry settings.

Returns

The current backoff value.

Return type

float

get_retry_after(response)[source]

Get the value of Retry-After in seconds.

Parameters

response (PipelineResponse) – The PipelineResponse object

Returns

Value of Retry-After in seconds.

Return type

int

increment(settings, response=None, error=None)[source]

Increment the retry counters.

Parameters
  • settings – The retry settings.

  • response (PipelineResponse) – A pipeline response object.

  • error – An error encountered during the request, or None if the response was received successfully.

Returns

Whether any retry attempt is available True if more retry attempts available, False otherwise

Return type

bool

is_exhausted(settings)[source]

Checks if any retries left.

Parameters

settings (dict) – the retry settings

Returns

False if have more retries. True if retries exhausted.

Return type

bool

is_retry(settings, response)[source]

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.

Parameters
  • settings (dict) – The retry settings.

  • response (PipelineResponse) – The PipelineResponse object

Returns

True if method/status code is retryable. False if not retryable.

Return type

bool

classmethod no_retries()[source]

Disable retries.

parse_retry_after(retry_after)[source]

Helper to parse Retry-After and get value in seconds.

Parameters

retry_after (str) – Retry-After header

Return type

int

send(request)[source]

Sends the PipelineRequest object to the next policy. Uses retry settings if necessary.

Parameters

request (PipelineRequest) – The PipelineRequest object

Returns

Returns the PipelineResponse or raises error if maximum retries exceeded.

Return type

PipelineResponse

Raises

~azure.core.exceptions.AzureError if maximum retries exceeded.

Raises

~azure.core.exceptions.ClientAuthenticationError if authentication

sleep(settings, transport, response=None)[source]

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.

Parameters
  • settings (dict) – The retry settings.

  • transport – The HTTP transport type.

  • response (PipelineResponse) – The PipelineResponse object.

update_context(context, retry_settings)[source]

Updates retry history in pipeline context.

Parameters
  • context (PipelineContext) – The pipeline context.

  • retry_settings (dict) – The retry settings.

BACKOFF_MAX = 120

Maximum backoff time.

class azure.core.pipeline.policies.RedirectPolicy(**kwargs)[source]

A redirect policy.

A redirect policy in the pipeline can be configured directly or per operation.

Keyword Arguments
  • permit_redirects (bool) – Whether the client allows redirects. Defaults to True.

  • redirect_max (int) – The maximum allowed redirects. Defaults to 30.

Example:

Configuring a redirect policy.
from azure.core.pipeline.policies import RedirectPolicy

redirect_policy = RedirectPolicy()

# Client allows redirects. Defaults to True.
redirect_policy.allow = True

# The maximum allowed redirects. The default value is 30
redirect_policy.max_redirects = 10

# Alternatively you can disable redirects entirely
redirect_policy = RedirectPolicy.no_redirects()

# It can also be overridden per operation.
client = PipelineClient(base_url=url, policies=[redirect_policy])
request = client.get(url)
pipeline_response = client._pipeline.run(request, permit_redirects=True, redirect_max=5)
configure_redirects(options)[source]

Configures the redirect settings.

Parameters

options – Keyword arguments from context.

Returns

A dict containing redirect settings and a history of redirects.

Return type

dict

get_redirect_location(response)[source]

Checks for redirect status code and gets redirect location.

Parameters

response (PipelineResponse) – The PipelineResponse object

Returns

Truthy redirect location string if we got a redirect status code and valid location. None if redirect status and no location. False if not a redirect status code.

increment(settings, response, redirect_location)[source]

Increment the redirect attempts for this request.

Parameters
  • settings (dict) – The redirect settings

  • response (PipelineResponse) – A pipeline response object.

  • redirect_location (str) – The redirected endpoint.

Returns

Whether further redirect attempts are remaining. False if exhausted; True if more redirect attempts available.

Return type

bool

classmethod no_redirects()[source]

Disable redirects.

send(request)[source]

Sends the PipelineRequest object to the next policy. Uses redirect settings to send request to redirect endpoint if necessary.

Parameters

request (PipelineRequest) – The PipelineRequest object

Returns

Returns the PipelineResponse or raises error if maximum redirects exceeded.

Return type

PipelineResponse

Raises

~azure.core.exceptions.TooManyRedirectsError if maximum redirects exceeded.

REDIRECT_HEADERS_BLACKLIST = frozenset({'Authorization'})
REDIRECT_STATUSES = frozenset({300, 301, 302, 303, 307, 308})
class azure.core.pipeline.policies.ProxyPolicy(proxies=None, **kwargs)[source]

A proxy policy.

Dictionary mapping protocol or protocol and host to the URL of the proxy to be used on each Request.

Parameters

proxies (dict) – Maps protocol or protocol and hostname to the URL of the proxy.

Example:

Configuring a proxy policy.
from azure.core.pipeline.policies import ProxyPolicy

proxy_policy = ProxyPolicy()

# Example
proxy_policy.proxies = {'http': 'http://10.10.1.10:3148'}

# Use basic auth
proxy_policy.proxies = {'https': 'http://user:password@10.10.1.10:1180/'}

# You can also configure proxies by setting the environment variables
# HTTP_PROXY and HTTPS_PROXY.
on_exception(request)

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)[source]

Is executed before sending the request from next policy.

Parameters

request (PipelineRequest) – Request to be modified before sent from next policy.

on_response(request, response)

Is executed after the request comes back from the policy.

Parameters
class azure.core.pipeline.policies.CustomHookPolicy(**kwargs)[source]

A simple policy that enable the given callback with the response.

Keyword Arguments

raw_response_hook (callback) – Callback function. Will be invoked on response.

on_exception(request)

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)[source]

This is executed before sending the request to the next policy.

Parameters

request (PipelineRequest) – The PipelineRequest object.

on_response(request, response)[source]

This is executed after the request comes back from the policy.

Parameters
class azure.core.pipeline.policies.DistributedTracingPolicy(**kwargs)[source]

The policy to create spans for Azure calls.

Keyword Arguments

network_span_namer – A callable to customize the span name

end_span(request, response=None, exc_info=None)[source]

Ends the span that is tracing the network and updates its status.

on_exception(request)[source]

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)[source]

Is executed before sending the request from next policy.

Parameters

request (PipelineRequest) – Request to be modified before sent from next policy.

on_response(request, response)[source]

Is executed after the request comes back from the policy.

Parameters
TRACING_CONTEXT = 'TRACING_CONTEXT'
class azure.core.pipeline.policies.RequestHistory(http_request, http_response=None, error=None, context=None)[source]

A container for an attempted request and the applicable response.

This is used to document requests/responses that resulted in redirected/retried requests.

Parameters
  • http_request (HttpRequest) – The request.

  • http_response (HttpResponse) – The HTTP response.

  • error (Exception) – An error encountered during the request, or None if the response was received successfully.

  • context (dict) – The pipeline context.

class azure.core.pipeline.policies.HttpLoggingPolicy(logger=None, **kwargs)[source]

The Pipeline policy that handles logging of HTTP requests and responses.

on_exception(request)

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)[source]

Logs HTTP method, url and headers. :param request: The PipelineRequest object. :type request: ~azure.core.pipeline.PipelineRequest

on_response(request, response)[source]

Is executed after the request comes back from the policy.

Parameters
DEFAULT_HEADERS_WHITELIST = {'Accept', 'Cache-Control', 'Connection', 'Content-Length', 'Content-Type', 'Date', 'ETag', 'Expires', 'If-Match', 'If-Modified-Since', 'If-None-Match', 'If-Unmodified-Since', 'Last-Modified', 'Pragma', 'Request-Id', 'Retry-After', 'Server', 'Transfer-Encoding', 'User-Agent', 'traceparent', 'x-ms-client-request-id', 'x-ms-return-client-request-id'}
REDACTED_PLACEHOLDER = 'REDACTED'
class azure.core.pipeline.policies.RequestIdPolicy(**kwargs)[source]

A simple policy that sets the given request id in the header.

This will overwrite request id that is already defined in the request. Request id can be configured up front, where the request id will be applied to all outgoing operations, and additional request id can also be set dynamically per operation.

Keyword Arguments

request_id (str) – The request id to be added into header.

Example:

Configuring a request id policy.
from azure.core.pipeline.policies import HeadersPolicy

request_id_policy = RequestIdPolicy()
request_id_policy.set_request_id('azconfig-test')

# Or headers can be added per operation. These headers will supplement existing headers
# or those defined in the config headers policy. They will also overwrite existing
# identical headers.
policies.append(request_id_policy)
client = PipelineClient(base_url=url, policies=policies)
request = client.get(url)
pipeline_response = client._pipeline.run(request, request_id="azconfig-test")
on_exception(request)

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
on_request(request)[source]

Updates with the given request id before sending the request to the next policy.

Parameters

request (PipelineRequest) – The PipelineRequest object

on_response(request, response)

Is executed after the request comes back from the policy.

Parameters
set_request_id(value)[source]

Add the request id to the configuration to be applied to all requests.

Parameters

value (str) – The request id value.

class azure.core.pipeline.policies.AsyncHTTPPolicy[source]

An async HTTP policy ABC.

Use with an asynchronous pipeline.

Parameters

next (AsyncHTTPPolicy or AsyncHttpTransport) – Use to process the next policy in the pipeline. Set when pipeline is instantiated and all policies chained.

abstract async send(request: azure.core.pipeline.PipelineRequest)[source]

Abstract send method for a asynchronous pipeline. Mutates the request.

Context content is dependent on the HttpTransport.

Parameters

request (PipelineRequest) – The pipeline request object.

Returns

The pipeline response object.

Return type

PipelineResponse

class azure.core.pipeline.policies.AsyncBearerTokenCredentialPolicy(credential, *scopes, **kwargs)[source]

Adds a bearer token Authorization header to requests.

Parameters
  • credential (TokenCredential) – The credential.

  • scopes (str) – Lets you specify the type of access needed.

on_exception(request)

Is executed if an exception is raised while executing the next policy.

Developer can optionally implement this method to return True if the exception has been handled and should not be forwarded to the caller.

This method is executed inside the exception handler.

Parameters

request (PipelineRequest) – The Pipeline request object

Returns

False by default, override with True to stop the exception.

Return type

bool

Example:

try:
    response = policy.next.send(request)
except Exception:
    if not policy.on_exception(request):
        raise

# or use
exc_type, exc_value, exc_traceback = sys.exc_info()
async on_request(request: azure.core.pipeline.PipelineRequest)[source]

Adds a bearer token Authorization header to request and sends request to next policy.

Parameters

request (PipelineRequest) – The pipeline request object to be modified.

Raises

ServiceRequestError

on_response(request, response)

Is executed after the request comes back from the policy.

Parameters
class azure.core.pipeline.policies.AsyncRedirectPolicy(**kwargs)[source]

An async redirect policy.

An async redirect policy in the pipeline can be configured directly or per operation.

Keyword Arguments
  • permit_redirects (bool) – Whether the client allows redirects. Defaults to True.

  • redirect_max (int) – The maximum allowed redirects. Defaults to 30.

Example:

Configuring an async redirect policy.
from azure.core.pipeline.policies import AsyncRedirectPolicy

redirect_policy = AsyncRedirectPolicy()

# Client allows redirects. Defaults to True.
redirect_policy.allow = True

# The maximum allowed redirects. The default value is 30
redirect_policy.max_redirects = 10

# Alternatively you can disable redirects entirely
redirect_policy = AsyncRedirectPolicy.no_redirects()

# It can also be overridden per operation.
async with AsyncPipelineClient(base_url=url, policies=[redirect_policy]) as client:
    response = await client._pipeline.run(request, permit_redirects=True, redirect_max=5)

configure_redirects(options)

Configures the redirect settings.

Parameters

options – Keyword arguments from context.

Returns

A dict containing redirect settings and a history of redirects.

Return type

dict

get_redirect_location(response)

Checks for redirect status code and gets redirect location.

Parameters

response (PipelineResponse) – The PipelineResponse object

Returns

Truthy redirect location string if we got a redirect status code and valid location. None if redirect status and no location. False if not a redirect status code.

increment(settings, response, redirect_location)

Increment the redirect attempts for this request.

Parameters
  • settings (dict) – The redirect settings

  • response (PipelineResponse) – A pipeline response object.

  • redirect_location (str) – The redirected endpoint.

Returns

Whether further redirect attempts are remaining. False if exhausted; True if more redirect attempts available.

Return type

bool

classmethod no_redirects()

Disable redirects.

async send(request)[source]

Sends the PipelineRequest object to the next policy. Uses redirect settings to send the request to redirect endpoint if necessary.

Parameters

request (PipelineRequest) – The PipelineRequest object

Returns

Returns the PipelineResponse or raises error if maximum redirects exceeded.

Return type

PipelineResponse

Raises

~azure.core.exceptions.TooManyRedirectsError if maximum redirects exceeded.

REDIRECT_HEADERS_BLACKLIST = frozenset({'Authorization'})
REDIRECT_STATUSES = frozenset({300, 301, 302, 303, 307, 308})
class azure.core.pipeline.policies.AsyncRetryPolicy(**kwargs)[source]

Async flavor of the retry policy.

The async retry policy in the pipeline can be configured directly, or tweaked on a per-call basis.

Keyword Arguments
  • retry_total (int) – Total number of retries to allow. Takes precedence over other counts. Default value is 10.

  • retry_connect (int) – 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.

  • retry_read (int) – 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.

  • retry_status (int) – How many times to retry on bad status codes. Default value is 3.

  • retry_backoff_factor (float) – A backoff factor to apply between attempts after the second try (most errors are resolved immediately by a second try without a delay). 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.

  • retry_backoff_max (int) – The maximum back off time. Default value is 120 seconds (2 minutes).

Example:

Configuring an async retry policy.
from azure.core.pipeline.policies import AsyncRetryPolicy

retry_policy = AsyncRetryPolicy()

# Total number of retries to allow. Takes precedence over other counts.
# Default value is 10.
retry_policy.total_retries = 5

# 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
retry_policy.connect_retries = 2

# 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.
retry_policy.read_retries = 4

# How many times to retry on bad status codes. Default value is 3.
retry_policy.status_retries = 3

# A backoff factor to apply between attempts after the second try
# (most errors are resolved immediately by a second try without a delay).
# 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.
retry_policy.backoff_factor = 0.5

# The maximum back off time. Default value is 120 seconds (2 minutes).
retry_policy.backoff_max = 120

# Alternatively you can disable redirects entirely
retry_policy = AsyncRetryPolicy.no_retries()

# All of these settings can also be configured per operation.
policies.append(retry_policy)
async with AsyncPipelineClient(base_url=url, policies=policies) as client:
    response = await client._pipeline.run(
        request,
        retry_total=10,
        retry_connect=1,
        retry_read=1,
        retry_status=5,
        retry_backoff_factor=0.5,
        retry_backoff_max=60,
        retry_on_methods=['GET']
    )
configure_retries(options)

Configures the retry settings.

Parameters

options – keyword arguments from context.

Returns

A dict containing settings and history for retries.

Return type

dict

get_backoff_time(settings)

Returns the current backoff time.

Parameters

settings (dict) – The retry settings.

Returns

The current backoff value.

Return type

float

get_retry_after(response)

Get the value of Retry-After in seconds.

Parameters

response (PipelineResponse) – The PipelineResponse object

Returns

Value of Retry-After in seconds.

Return type

int

increment(settings, response=None, error=None)

Increment the retry counters.

Parameters
  • settings – The retry settings.

  • response (PipelineResponse) – A pipeline response object.

  • error – An error encountered during the request, or None if the response was received successfully.

Returns

Whether any retry attempt is available True if more retry attempts available, False otherwise

Return type

bool

is_exhausted(settings)

Checks if any retries left.

Parameters

settings (dict) – the retry settings

Returns

False if have more retries. True if retries exhausted.

Return type

bool

is_retry(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.

Parameters
  • settings (dict) – The retry settings.

  • response (PipelineResponse) – The PipelineResponse object

Returns

True if method/status code is retryable. False if not retryable.

Return type

bool

classmethod no_retries()

Disable retries.

parse_retry_after(retry_after)

Helper to parse Retry-After and get value in seconds.

Parameters

retry_after (str) – Retry-After header

Return type

int

async send(request)[source]

Uses the configured retry policy to send the request to the next policy in the pipeline.

Parameters

request (PipelineRequest) – The PipelineRequest object

Returns

Returns the PipelineResponse or raises error if maximum retries exceeded.

Return type

PipelineResponse

Raise

~azure.core.exceptions.AzureError if maximum retries exceeded.

Raise

~azure.core.exceptions.ClientAuthenticationError if authentication fails

async sleep(settings, transport, response=None)[source]

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.

Parameters
  • settings (dict) – The retry settings.

  • transport – The HTTP transport type.

  • response (PipelineResponse) – The PipelineResponse object.

update_context(context, retry_settings)

Updates retry history in pipeline context.

Parameters
  • context (PipelineContext) – The pipeline context.

  • retry_settings (dict) – The retry settings.

BACKOFF_MAX = 120