577 lines
22 KiB
Python
577 lines
22 KiB
Python
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# Copyright (c) 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved
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#
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# Permission is hereby granted, free of charge, to any person obtaining a
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# copy of this software and associated documentation files (the
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# "Software"), to deal in the Software without restriction, including
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# without limitation the rights to use, copy, modify, merge, publish, dis-
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# tribute, sublicense, and/or sell copies of the Software, and to permit
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# persons to whom the Software is furnished to do so, subject to the fol-
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# lowing conditions:
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#
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# The above copyright notice and this permission notice shall be included
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# in all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
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# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
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# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
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# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
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# IN THE SOFTWARE.
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#
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import boto
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from boto.connection import AWSQueryConnection
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from boto.regioninfo import RegionInfo
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from boto.exception import JSONResponseError
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from boto.logs import exceptions
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from boto.compat import json
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class CloudWatchLogsConnection(AWSQueryConnection):
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"""
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Amazon CloudWatch Logs Service API Reference
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This is the Amazon CloudWatch Logs API Reference . Amazon
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CloudWatch Logs is a managed service for real time monitoring and
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archival of application logs. This guide provides detailed
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information about Amazon CloudWatch Logs actions, data types,
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parameters, and errors. For detailed information about Amazon
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CloudWatch Logs features and their associated API calls, go to the
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`Amazon CloudWatch Logs Developer Guide`_.
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Use the following links to get started using the Amazon CloudWatch
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API Reference :
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+ `Actions`_: An alphabetical list of all Amazon CloudWatch Logs
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actions.
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+ `Data Types`_: An alphabetical list of all Amazon CloudWatch
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Logs data types.
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+ `Common Parameters`_: Parameters that all Query actions can use.
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+ `Common Errors`_: Client and server errors that all actions can
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return.
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+ `Regions and Endpoints`_: Itemized regions and endpoints for all
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AWS products.
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In addition to using the Amazon CloudWatch Logs API, you can also
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use the following SDKs and third-party libraries to access Amazon
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CloudWatch Logs programmatically.
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+ `AWS SDK for Java Documentation`_
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+ `AWS SDK for .NET Documentation`_
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+ `AWS SDK for PHP Documentation`_
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+ `AWS SDK for Ruby Documentation`_
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Developers in the AWS developer community also provide their own
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libraries, which you can find at the following AWS developer
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centers:
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+ `AWS Java Developer Center`_
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+ `AWS PHP Developer Center`_
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+ `AWS Python Developer Center`_
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+ `AWS Ruby Developer Center`_
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+ `AWS Windows and .NET Developer Center`_
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"""
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APIVersion = "2014-03-28"
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DefaultRegionName = "us-east-1"
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DefaultRegionEndpoint = "logs.us-east-1.amazonaws.com"
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ServiceName = "CloudWatchLogs"
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TargetPrefix = "Logs_20140328"
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ResponseError = JSONResponseError
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_faults = {
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"LimitExceededException": exceptions.LimitExceededException,
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"DataAlreadyAcceptedException": exceptions.DataAlreadyAcceptedException,
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"ResourceInUseException": exceptions.ResourceInUseException,
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"ServiceUnavailableException": exceptions.ServiceUnavailableException,
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"InvalidParameterException": exceptions.InvalidParameterException,
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"ResourceNotFoundException": exceptions.ResourceNotFoundException,
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"ResourceAlreadyExistsException": exceptions.ResourceAlreadyExistsException,
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"OperationAbortedException": exceptions.OperationAbortedException,
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"InvalidSequenceTokenException": exceptions.InvalidSequenceTokenException,
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}
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def __init__(self, **kwargs):
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region = kwargs.pop('region', None)
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if not region:
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region = RegionInfo(self, self.DefaultRegionName,
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self.DefaultRegionEndpoint)
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if 'host' not in kwargs or kwargs['host'] is None:
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kwargs['host'] = region.endpoint
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super(CloudWatchLogsConnection, self).__init__(**kwargs)
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self.region = region
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def _required_auth_capability(self):
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return ['hmac-v4']
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def create_log_group(self, log_group_name):
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"""
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Creates a new log group with the specified name. The name of
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the log group must be unique within a region for an AWS
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account. You can create up to 100 log groups per account.
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You must use the following guidelines when naming a log group:
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+ Log group names can be between 1 and 512 characters long.
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+ Allowed characters are az, AZ, 09, '_' (underscore), '-'
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(hyphen), '/' (forward slash), and '.' (period).
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Log groups are created with a default retention of 14 days.
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The retention attribute allow you to configure the number of
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days you want to retain log events in the specified log group.
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See the `SetRetention` operation on how to modify the
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retention of your log groups.
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:type log_group_name: string
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:param log_group_name:
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"""
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params = {'logGroupName': log_group_name, }
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return self.make_request(action='CreateLogGroup',
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body=json.dumps(params))
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def create_log_stream(self, log_group_name, log_stream_name):
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"""
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Creates a new log stream in the specified log group. The name
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of the log stream must be unique within the log group. There
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is no limit on the number of log streams that can exist in a
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log group.
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You must use the following guidelines when naming a log
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stream:
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+ Log stream names can be between 1 and 512 characters long.
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+ The ':' colon character is not allowed.
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:type log_group_name: string
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:param log_group_name:
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:type log_stream_name: string
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:param log_stream_name:
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"""
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params = {
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'logGroupName': log_group_name,
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'logStreamName': log_stream_name,
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}
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return self.make_request(action='CreateLogStream',
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body=json.dumps(params))
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def delete_log_group(self, log_group_name):
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"""
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Deletes the log group with the specified name. Amazon
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CloudWatch Logs will delete a log group only if there are no
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log streams and no metric filters associated with the log
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group. If this condition is not satisfied, the request will
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fail and the log group will not be deleted.
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:type log_group_name: string
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:param log_group_name:
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"""
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params = {'logGroupName': log_group_name, }
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return self.make_request(action='DeleteLogGroup',
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body=json.dumps(params))
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def delete_log_stream(self, log_group_name, log_stream_name):
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"""
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Deletes a log stream and permanently deletes all the archived
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log events associated with it.
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:type log_group_name: string
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:param log_group_name:
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:type log_stream_name: string
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:param log_stream_name:
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"""
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params = {
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'logGroupName': log_group_name,
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'logStreamName': log_stream_name,
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}
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return self.make_request(action='DeleteLogStream',
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body=json.dumps(params))
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def delete_metric_filter(self, log_group_name, filter_name):
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"""
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Deletes a metric filter associated with the specified log
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group.
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:type log_group_name: string
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:param log_group_name:
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:type filter_name: string
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:param filter_name: The name of the metric filter.
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"""
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params = {
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'logGroupName': log_group_name,
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'filterName': filter_name,
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}
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return self.make_request(action='DeleteMetricFilter',
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body=json.dumps(params))
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def delete_retention_policy(self, log_group_name):
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"""
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:type log_group_name: string
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:param log_group_name:
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"""
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params = {'logGroupName': log_group_name, }
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return self.make_request(action='DeleteRetentionPolicy',
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body=json.dumps(params))
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def describe_log_groups(self, log_group_name_prefix=None,
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next_token=None, limit=None):
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"""
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Returns all the log groups that are associated with the AWS
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account making the request. The list returned in the response
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is ASCII-sorted by log group name.
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By default, this operation returns up to 50 log groups. If
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there are more log groups to list, the response would contain
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a `nextToken` value in the response body. You can also limit
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the number of log groups returned in the response by
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specifying the `limit` parameter in the request.
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:type log_group_name_prefix: string
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:param log_group_name_prefix:
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:type next_token: string
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:param next_token: A string token used for pagination that points to
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the next page of results. It must be a value obtained from the
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response of the previous `DescribeLogGroups` request.
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:type limit: integer
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:param limit: The maximum number of items returned in the response. If
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you don't specify a value, the request would return up to 50 items.
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"""
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params = {}
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if log_group_name_prefix is not None:
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params['logGroupNamePrefix'] = log_group_name_prefix
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if next_token is not None:
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params['nextToken'] = next_token
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if limit is not None:
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params['limit'] = limit
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return self.make_request(action='DescribeLogGroups',
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body=json.dumps(params))
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def describe_log_streams(self, log_group_name,
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log_stream_name_prefix=None, next_token=None,
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limit=None):
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"""
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Returns all the log streams that are associated with the
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specified log group. The list returned in the response is
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ASCII-sorted by log stream name.
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By default, this operation returns up to 50 log streams. If
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there are more log streams to list, the response would contain
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a `nextToken` value in the response body. You can also limit
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the number of log streams returned in the response by
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specifying the `limit` parameter in the request.
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:type log_group_name: string
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:param log_group_name:
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:type log_stream_name_prefix: string
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:param log_stream_name_prefix:
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:type next_token: string
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:param next_token: A string token used for pagination that points to
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the next page of results. It must be a value obtained from the
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response of the previous `DescribeLogStreams` request.
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:type limit: integer
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:param limit: The maximum number of items returned in the response. If
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you don't specify a value, the request would return up to 50 items.
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"""
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params = {'logGroupName': log_group_name, }
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if log_stream_name_prefix is not None:
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params['logStreamNamePrefix'] = log_stream_name_prefix
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if next_token is not None:
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params['nextToken'] = next_token
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if limit is not None:
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params['limit'] = limit
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return self.make_request(action='DescribeLogStreams',
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body=json.dumps(params))
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def describe_metric_filters(self, log_group_name,
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filter_name_prefix=None, next_token=None,
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limit=None):
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"""
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Returns all the metrics filters associated with the specified
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log group. The list returned in the response is ASCII-sorted
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by filter name.
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By default, this operation returns up to 50 metric filters. If
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there are more metric filters to list, the response would
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contain a `nextToken` value in the response body. You can also
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limit the number of metric filters returned in the response by
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specifying the `limit` parameter in the request.
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:type log_group_name: string
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:param log_group_name:
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:type filter_name_prefix: string
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:param filter_name_prefix: The name of the metric filter.
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:type next_token: string
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:param next_token: A string token used for pagination that points to
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the next page of results. It must be a value obtained from the
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response of the previous `DescribeMetricFilters` request.
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:type limit: integer
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:param limit: The maximum number of items returned in the response. If
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you don't specify a value, the request would return up to 50 items.
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"""
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params = {'logGroupName': log_group_name, }
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if filter_name_prefix is not None:
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params['filterNamePrefix'] = filter_name_prefix
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if next_token is not None:
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params['nextToken'] = next_token
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if limit is not None:
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params['limit'] = limit
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return self.make_request(action='DescribeMetricFilters',
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body=json.dumps(params))
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def get_log_events(self, log_group_name, log_stream_name,
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start_time=None, end_time=None, next_token=None,
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limit=None, start_from_head=None):
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"""
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Retrieves log events from the specified log stream. You can
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provide an optional time range to filter the results on the
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event `timestamp`.
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By default, this operation returns as much log events as can
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fit in a response size of 1MB, up to 10,000 log events. The
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response will always include a `nextForwardToken` and a
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`nextBackwardToken` in the response body. You can use any of
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these tokens in subsequent `GetLogEvents` requests to paginate
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through events in either forward or backward direction. You
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can also limit the number of log events returned in the
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response by specifying the `limit` parameter in the request.
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:type log_group_name: string
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:param log_group_name:
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:type log_stream_name: string
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:param log_stream_name:
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:type start_time: long
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:param start_time: A point in time expressed as the number milliseconds
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since Jan 1, 1970 00:00:00 UTC.
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:type end_time: long
|
||
|
|
:param end_time: A point in time expressed as the number milliseconds
|
||
|
|
since Jan 1, 1970 00:00:00 UTC.
|
||
|
|
|
||
|
|
:type next_token: string
|
||
|
|
:param next_token: A string token used for pagination that points to
|
||
|
|
the next page of results. It must be a value obtained from the
|
||
|
|
`nextForwardToken` or `nextBackwardToken` fields in the response of
|
||
|
|
the previous `GetLogEvents` request.
|
||
|
|
|
||
|
|
:type limit: integer
|
||
|
|
:param limit: The maximum number of log events returned in the
|
||
|
|
response. If you don't specify a value, the request would return as
|
||
|
|
much log events as can fit in a response size of 1MB, up to 10,000
|
||
|
|
log events.
|
||
|
|
|
||
|
|
:type start_from_head: boolean
|
||
|
|
:param start_from_head:
|
||
|
|
|
||
|
|
"""
|
||
|
|
params = {
|
||
|
|
'logGroupName': log_group_name,
|
||
|
|
'logStreamName': log_stream_name,
|
||
|
|
}
|
||
|
|
if start_time is not None:
|
||
|
|
params['startTime'] = start_time
|
||
|
|
if end_time is not None:
|
||
|
|
params['endTime'] = end_time
|
||
|
|
if next_token is not None:
|
||
|
|
params['nextToken'] = next_token
|
||
|
|
if limit is not None:
|
||
|
|
params['limit'] = limit
|
||
|
|
if start_from_head is not None:
|
||
|
|
params['startFromHead'] = start_from_head
|
||
|
|
return self.make_request(action='GetLogEvents',
|
||
|
|
body=json.dumps(params))
|
||
|
|
|
||
|
|
def put_log_events(self, log_group_name, log_stream_name, log_events,
|
||
|
|
sequence_token=None):
|
||
|
|
"""
|
||
|
|
Uploads a batch of log events to the specified log stream.
|
||
|
|
|
||
|
|
Every PutLogEvents request must include the `sequenceToken`
|
||
|
|
obtained from the response of the previous request. An upload
|
||
|
|
in a newly created log stream does not require a
|
||
|
|
`sequenceToken`.
|
||
|
|
|
||
|
|
The batch of events must satisfy the following constraints:
|
||
|
|
|
||
|
|
+ The maximum batch size is 32,768 bytes, and this size is
|
||
|
|
calculated as the sum of all event messages in UTF-8, plus 26
|
||
|
|
bytes for each log event.
|
||
|
|
+ None of the log events in the batch can be more than 2 hours
|
||
|
|
in the future.
|
||
|
|
+ None of the log events in the batch can be older than 14
|
||
|
|
days or the retention period of the log group.
|
||
|
|
+ The log events in the batch must be in chronological ordered
|
||
|
|
by their `timestamp`.
|
||
|
|
+ The maximum number of log events in a batch is 1,000.
|
||
|
|
|
||
|
|
:type log_group_name: string
|
||
|
|
:param log_group_name:
|
||
|
|
|
||
|
|
:type log_stream_name: string
|
||
|
|
:param log_stream_name:
|
||
|
|
|
||
|
|
:type log_events: list
|
||
|
|
:param log_events: A list of events belonging to a log stream.
|
||
|
|
|
||
|
|
:type sequence_token: string
|
||
|
|
:param sequence_token: A string token that must be obtained from the
|
||
|
|
response of the previous `PutLogEvents` request.
|
||
|
|
|
||
|
|
"""
|
||
|
|
params = {
|
||
|
|
'logGroupName': log_group_name,
|
||
|
|
'logStreamName': log_stream_name,
|
||
|
|
'logEvents': log_events,
|
||
|
|
}
|
||
|
|
if sequence_token is not None:
|
||
|
|
params['sequenceToken'] = sequence_token
|
||
|
|
return self.make_request(action='PutLogEvents',
|
||
|
|
body=json.dumps(params))
|
||
|
|
|
||
|
|
def put_metric_filter(self, log_group_name, filter_name, filter_pattern,
|
||
|
|
metric_transformations):
|
||
|
|
"""
|
||
|
|
Creates or updates a metric filter and associates it with the
|
||
|
|
specified log group. Metric filters allow you to configure
|
||
|
|
rules to extract metric data from log events ingested through
|
||
|
|
`PutLogEvents` requests.
|
||
|
|
|
||
|
|
:type log_group_name: string
|
||
|
|
:param log_group_name:
|
||
|
|
|
||
|
|
:type filter_name: string
|
||
|
|
:param filter_name: The name of the metric filter.
|
||
|
|
|
||
|
|
:type filter_pattern: string
|
||
|
|
:param filter_pattern:
|
||
|
|
|
||
|
|
:type metric_transformations: list
|
||
|
|
:param metric_transformations:
|
||
|
|
|
||
|
|
"""
|
||
|
|
params = {
|
||
|
|
'logGroupName': log_group_name,
|
||
|
|
'filterName': filter_name,
|
||
|
|
'filterPattern': filter_pattern,
|
||
|
|
'metricTransformations': metric_transformations,
|
||
|
|
}
|
||
|
|
return self.make_request(action='PutMetricFilter',
|
||
|
|
body=json.dumps(params))
|
||
|
|
|
||
|
|
def put_retention_policy(self, log_group_name, retention_in_days):
|
||
|
|
"""
|
||
|
|
|
||
|
|
|
||
|
|
:type log_group_name: string
|
||
|
|
:param log_group_name:
|
||
|
|
|
||
|
|
:type retention_in_days: integer
|
||
|
|
:param retention_in_days: Specifies the number of days you want to
|
||
|
|
retain log events in the specified log group. Possible values are:
|
||
|
|
1, 3, 5, 7, 14, 30, 60, 90, 120, 150, 180, 365, 400, 547, 730.
|
||
|
|
|
||
|
|
"""
|
||
|
|
params = {
|
||
|
|
'logGroupName': log_group_name,
|
||
|
|
'retentionInDays': retention_in_days,
|
||
|
|
}
|
||
|
|
return self.make_request(action='PutRetentionPolicy',
|
||
|
|
body=json.dumps(params))
|
||
|
|
|
||
|
|
def set_retention(self, log_group_name, retention_in_days):
|
||
|
|
"""
|
||
|
|
Sets the retention of the specified log group. Log groups are
|
||
|
|
created with a default retention of 14 days. The retention
|
||
|
|
attribute allow you to configure the number of days you want
|
||
|
|
to retain log events in the specified log group.
|
||
|
|
|
||
|
|
:type log_group_name: string
|
||
|
|
:param log_group_name:
|
||
|
|
|
||
|
|
:type retention_in_days: integer
|
||
|
|
:param retention_in_days: Specifies the number of days you want to
|
||
|
|
retain log events in the specified log group. Possible values are:
|
||
|
|
1, 3, 5, 7, 14, 30, 60, 90, 120, 150, 180, 365, 400, 547, 730.
|
||
|
|
|
||
|
|
"""
|
||
|
|
params = {
|
||
|
|
'logGroupName': log_group_name,
|
||
|
|
'retentionInDays': retention_in_days,
|
||
|
|
}
|
||
|
|
return self.make_request(action='SetRetention',
|
||
|
|
body=json.dumps(params))
|
||
|
|
|
||
|
|
def test_metric_filter(self, filter_pattern, log_event_messages):
|
||
|
|
"""
|
||
|
|
Tests the filter pattern of a metric filter against a sample
|
||
|
|
of log event messages. You can use this operation to validate
|
||
|
|
the correctness of a metric filter pattern.
|
||
|
|
|
||
|
|
:type filter_pattern: string
|
||
|
|
:param filter_pattern:
|
||
|
|
|
||
|
|
:type log_event_messages: list
|
||
|
|
:param log_event_messages:
|
||
|
|
|
||
|
|
"""
|
||
|
|
params = {
|
||
|
|
'filterPattern': filter_pattern,
|
||
|
|
'logEventMessages': log_event_messages,
|
||
|
|
}
|
||
|
|
return self.make_request(action='TestMetricFilter',
|
||
|
|
body=json.dumps(params))
|
||
|
|
|
||
|
|
def make_request(self, action, body):
|
||
|
|
headers = {
|
||
|
|
'X-Amz-Target': '%s.%s' % (self.TargetPrefix, action),
|
||
|
|
'Host': self.region.endpoint,
|
||
|
|
'Content-Type': 'application/x-amz-json-1.1',
|
||
|
|
'Content-Length': str(len(body)),
|
||
|
|
}
|
||
|
|
http_request = self.build_base_http_request(
|
||
|
|
method='POST', path='/', auth_path='/', params={},
|
||
|
|
headers=headers, data=body)
|
||
|
|
response = self._mexe(http_request, sender=None,
|
||
|
|
override_num_retries=10)
|
||
|
|
response_body = response.read().decode('utf-8')
|
||
|
|
boto.log.debug(response_body)
|
||
|
|
if response.status == 200:
|
||
|
|
if response_body:
|
||
|
|
return json.loads(response_body)
|
||
|
|
else:
|
||
|
|
json_body = json.loads(response_body)
|
||
|
|
fault_name = json_body.get('__type', None)
|
||
|
|
exception_class = self._faults.get(fault_name, self.ResponseError)
|
||
|
|
raise exception_class(response.status, response.reason,
|
||
|
|
body=json_body)
|