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How to use describe_alarm_history method in localstack

Best Python code snippet using localstack_python

CouldWatch-01.py

Source:CouldWatch-01.py

...79}80"""81# ###################################   describe_alarm_history     #################################82# æ£ç´¢æå®è¦æ¥çåå²è®°å½83# response = client.describe_alarm_history(84#     AlarmName='Default_Test_Alarm3',85#     HistoryItemType='ConfigurationUpdate',86#     StartDate=datetime(2015, 1, 1),87#     EndDate=datetime(2019, 7, 2),88#     MaxRecords=50,  # å°äºçäº10089#     # NextToken=None90# )91# #  'ConfigurationUpdate' | 'StateUpdate' | 'Action',92# print(response)93"""94{95    'AlarmHistoryItems': [],96    'ResponseMetadata': {97        'RequestId': '9a2d94f2-9cb6-11e9-b5ef-09bc043668d6',...

cwops.py

Source:cwops.py

...214                                                                                              p2=namespace, p3=period,215                                                                                              p4=statistic,216                                                                                              p5=dimensions, p6=unit))217        return self.connection.describe_alarms_for_metric(metric_name, namespace, period, statistic, dimensions, unit)218    def describe_alarm_history(self, alarm_name=None, start_date=None, end_date=None, max_records=None,219                               history_item_type=None, next_token=None):220        self.log.debug(221            'Calling describe_alarm_history( {p1}, {p2}, {p3}, {p4}, {p5}, {p6} )'.format(p1=alarm_name, p2=start_date,222                                                                                          p3=end_date, p4=max_records,223                                                                                          p5=history_item_type,224                                                                                          p6=next_token))225        return self.connection.describe_alarm_history(alarm_name, start_date, end_date, max_records, history_item_type,226                                                      next_token)227    def get_dimension_array(self):228        return DimensionArray229    def get_stats_array(self):230        return StatsArray231    def get_instance_metrics_array(self):232        return InstanceMetricArray233    def get_status_metric_array(self):234        return StatusMetricArray235    def get_ebs_metrics_array(self):236        return EbsMetricsArray237    def enable_alarm_actions(self, alarm_names):238        self.log.debug('Calling enable_alarm_actions( ' + str(alarm_names) + ' )')239        self.connection.enable_alarm_actions(alarm_names)...

cloudwatch.py

Source:cloudwatch.py

1import logging2from nab3.base import PaginatedBaseService3from nab3.utils import paginated_search, snake_to_camelcap4LOGGER = logging.getLogger('nab3')5LOGGER.setLevel(logging.WARNING)6class Alarm(PaginatedBaseService):7    """8    boto3.amazonaws.com/v1/documentation/api/latest/reference/services/cloudwatch.html#CloudWatch.Client.describe_alarm_history9    """10    boto3_client_name = 'cloudwatch'11    key_prefix = 'Alarm'12    @classmethod13    def get_history(cls, start_date, end_date, name=None, item_type=None, alarm_types=None, sort_descending=True):14        """ Retrieves the history for the specified alarm.15        :param start_date: StartDate=datetime(2015, 1, 1)16        :param end_date: EndDate=datetime(2015, 1, 1)17        :param name: AlarmName='string'18        :param item_type: HistoryItemType='ConfigurationUpdate StateUpdate Action'19        :param alarm_types: AlarmTypes=['CompositeAlarm MetricAlarm']20        :param sort_descending: bool -> ScanBy='TimestampDescending TimestampAscending'21        :return:22        """23        search_kwargs = dict(StartDate=start_date, EndDate=end_date,24                             AlarmTypes=alarm_types,25                             ScanBy='TimestampDescending' if sort_descending else 'TimestampAscending')26        if name:27            search_kwargs['AlarmName'] = name28        if item_type:29            search_kwargs['HistoryItemType'] = item_type30        search_fnc = cls._client.get(cls.boto3_client_name).describe_alarm_history31        results = paginated_search(search_fnc, search_kwargs, 'AlarmHistoryItems')32        return [cls(_loaded=True, **result) for result in results]33class Metric(PaginatedBaseService):34    """35    boto3.amazonaws.com/v1/documentation/api/latest/reference/services/cloudwatch.html#CloudWatch.Client.list_metrics36    boto3.amazonaws.com/v1/documentation/api/latest/reference/services/cloudwatch.html#CloudWatch.Client.get_metric_statistics37    docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_concepts.html#dimension-combinations38    """39    boto3_client_name = 'cloudwatch'40    key_prefix = 'Metric'41    _boto3_describe_def = dict(42        client_call="list_metrics",43        call_params=dict(44            dimensions=dict(name='Dimensions', type=list),  # list<dict(Name=str, Value=str)>45            name=dict(name='MetricName', type=str),46            namespace=dict(name='Namespace', type=str),47        )48    )49    @classmethod50    def get_statistics(cls, namespace, metric_name, start_time, end_time, interval_as_seconds, **kwargs):51        """52        Optional params:53            Dimensions=[54                {55                    'Name': 'string',56                    'Value': 'string'57                },58            ],59            StartTime=datetime(2015, 1, 1),60            EndTime=datetime(2015, 1, 1),61            Period=123,62            (Statistics=[63                'SampleCount Average Sum Minimum Maximum',64            ],65            ExtendedStatistics=[66                'string',67            ]) - Statistics or ExtendedStatistics must be set ,68            Unit='Seconds Microseconds Milliseconds Bytes Kilobytes Megabytes69        :param namespace:70        :param metric_name:71        :param start_time:72        :param end_time:73        :param interval_as_seconds: This is the Period paremeter. Renamed here to make the purpose more intuitive74        :param kwargs:75        :return:76        """77        search_kwargs = dict(EndTime=end_time,78                             Namespace=namespace,79                             MetricName=metric_name,80                             Period=interval_as_seconds,81                             StartTime=start_time)82        for k, v in kwargs.items():83            search_kwargs[snake_to_camelcap(k)] = v84        client = cls._client.get(cls.boto3_client_name)85        response = client.get_metric_statistics(**search_kwargs)86        return [cls(name=metric_name, _loaded=True, **obj) for obj in response.get('Datapoints', [])]87    @classmethod88    def get(cls, **kwargs):89        raise NotImplementedError("get is not a supported operation for Metric")90    @classmethod91    def load(cls, **kwargs):...

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