KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

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):...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.