:doc:`DevOpsGuru <../../devops-guru>` / Paginator / ListAnomalousLogGroups

**********************
ListAnomalousLogGroups
**********************



.. py:class:: DevOpsGuru.Paginator.ListAnomalousLogGroups

  ::

    
    paginator = client.get_paginator('list_anomalous_log_groups')

  
  

  .. py:method:: paginate(**kwargs)

    Creates an iterator that will paginate through responses from :py:meth:`DevOpsGuru.Client.list_anomalous_log_groups`.

    See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/devops-guru-2020-12-01/ListAnomalousLogGroups>`_    


    **Request Syntax**
    ::

      response_iterator = paginator.paginate(
          InsightId='string',
          PaginationConfig={
              'MaxItems': 123,
              'PageSize': 123,
              'StartingToken': 'string'
          }
      )
      
    :type InsightId: string
    :param InsightId: **[REQUIRED]** 

      The ID of the insight containing the log groups.

      

    
    :type PaginationConfig: dict
    :param PaginationConfig: 

      A dictionary that provides parameters to control pagination.

      

    
      - **MaxItems** *(integer) --* 

        The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.

        

      
      - **PageSize** *(integer) --* 

        The size of each page.

        

      
      - **StartingToken** *(string) --* 

        A token to specify where to start paginating. This is the ``NextToken`` from a previous response.

        

      
    
    
    :rtype: dict
    :returns: 
      
      **Response Syntax**

      
      ::

        {
            'InsightId': 'string',
            'AnomalousLogGroups': [
                {
                    'LogGroupName': 'string',
                    'ImpactStartTime': datetime(2015, 1, 1),
                    'ImpactEndTime': datetime(2015, 1, 1),
                    'NumberOfLogLinesScanned': 123,
                    'LogAnomalyShowcases': [
                        {
                            'LogAnomalyClasses': [
                                {
                                    'LogStreamName': 'string',
                                    'LogAnomalyType': 'KEYWORD'|'KEYWORD_TOKEN'|'FORMAT'|'HTTP_CODE'|'BLOCK_FORMAT'|'NUMERICAL_POINT'|'NUMERICAL_NAN'|'NEW_FIELD_NAME',
                                    'LogAnomalyToken': 'string',
                                    'LogEventId': 'string',
                                    'Explanation': 'string',
                                    'NumberOfLogLinesOccurrences': 123,
                                    'LogEventTimestamp': datetime(2015, 1, 1)
                                },
                            ]
                        },
                    ]
                },
            ],
            
        }
        
      **Response Structure**

      

      - *(dict) --* 
        

        - **InsightId** *(string) --* 

          The ID of the insight containing the log groups.

          
        

        - **AnomalousLogGroups** *(list) --* 

          The list of Amazon CloudWatch log groups that are related to an insight.

          
          

          - *(dict) --* 

            An Amazon CloudWatch log group that contains log anomalies and is used to generate an insight.

            
            

            - **LogGroupName** *(string) --* 

              The name of the CloudWatch log group.

              
            

            - **ImpactStartTime** *(datetime) --* 

              The time the anomalous log events began. The impact start time indicates the time of the first log anomaly event that occurs.

              
            

            - **ImpactEndTime** *(datetime) --* 

              The time the anomalous log events stopped.

              
            

            - **NumberOfLogLinesScanned** *(integer) --* 

              The number of log lines that were scanned for anomalous log events.

              
            

            - **LogAnomalyShowcases** *(list) --* 

              The log anomalies in the log group. Each log anomaly displayed represents a cluster of similar anomalous log events.

              
              

              - *(dict) --* 

                A cluster of similar anomalous log events found within a log group.

                
                

                - **LogAnomalyClasses** *(list) --* 

                  A list of anomalous log events that may be related.

                  
                  

                  - *(dict) --* 

                    Information about an anomalous log event found within a log group.

                    
                    

                    - **LogStreamName** *(string) --* 

                      The name of the Amazon CloudWatch log stream that the anomalous log event belongs to. A log stream is a sequence of log events that share the same source.

                      
                    

                    - **LogAnomalyType** *(string) --* 

                      The type of log anomaly that has been detected.

                      
                    

                    - **LogAnomalyToken** *(string) --* 

                      The token where the anomaly was detected. This may refer to an exception or another location, or it may be blank for log anomalies such as format anomalies.

                      
                    

                    - **LogEventId** *(string) --* 

                      The ID of the log event.

                      
                    

                    - **Explanation** *(string) --* 

                      The explanation for why the log event is considered an anomaly.

                      
                    

                    - **NumberOfLogLinesOccurrences** *(integer) --* 

                      The number of log lines where this anomalous log event occurs.

                      
                    

                    - **LogEventTimestamp** *(datetime) --* 

                      The time of the first occurrence of the anomalous log event.

                      
                
              
            
          
        
      
    