DevOpsGuru / Paginator / ListAnomalousLogGroups

ListAnomalousLogGroups

class DevOpsGuru.Paginator.ListAnomalousLogGroups

paginator = client.get_paginator('list_anomalous_log_groups')

paginate(**kwargs)

Creates an iterator that will paginate through responses from DevOpsGuru.Client.list_anomalous_log_groups().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
    InsightId='string',
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
    }
)

Parameters:

• InsightId (string) –

  [REQUIRED]

  The ID of the insight containing the log groups.

• PaginationConfig (dict) –

  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.

Return type:

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.