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How to use describe_anomaly_detectors method in localstack

Best Python code snippet using localstack_python

aws_cloudwatch_info.py

Source:aws_cloudwatch_info.py

...172                    Namespace=module.params['name_space'],173                    MetricName=module.params['metric_name'],174                ), True175            else:176                return client.describe_anomaly_detectors(177                    Namespace=module.params['name_space'],178                    MetricName=module.params['metric_name'],179                ), False180        else:181            if client.can_paginate('list_dashboards'):182                paginator = client.get_paginator('list_dashboards')183                return paginator.paginate(), True184            else:185                return client.list_dashboards(), False186    except (BotoCoreError, ClientError) as e:187        module.fail_json_aws(e, msg='Failed to fetch aws cloudwatch details')188def main():189    argument_spec = dict(190        alarm_names=dict(required=False, type=list, default=[]),...

__init__.pyi

Source:__init__.pyi

1"""2Main interface for cloudwatch service.3Usage::4    ```python5    import boto36    from mypy_boto3_cloudwatch import (7        AlarmExistsWaiter,8        Client,9        CloudWatchClient,10        CloudWatchServiceResource,11        CompositeAlarmExistsWaiter,12        DescribeAlarmHistoryPaginator,13        DescribeAlarmsPaginator,14        DescribeAnomalyDetectorsPaginator,15        GetMetricDataPaginator,16        ListDashboardsPaginator,17        ListMetricsPaginator,18        ServiceResource,19    )20    session = boto3.Session()21    client: CloudWatchClient = boto3.client("cloudwatch")22    session_client: CloudWatchClient = session.client("cloudwatch")23    resource: CloudWatchServiceResource = boto3.resource("cloudwatch")24    session_resource: CloudWatchServiceResource = session.resource("cloudwatch")25    alarm_exists_waiter: AlarmExistsWaiter = client.get_waiter("alarm_exists")26    composite_alarm_exists_waiter: CompositeAlarmExistsWaiter = client.get_waiter("composite_alarm_exists")27    describe_alarm_history_paginator: DescribeAlarmHistoryPaginator = client.get_paginator("describe_alarm_history")28    describe_alarms_paginator: DescribeAlarmsPaginator = client.get_paginator("describe_alarms")29    describe_anomaly_detectors_paginator: DescribeAnomalyDetectorsPaginator = client.get_paginator("describe_anomaly_detectors")30    get_metric_data_paginator: GetMetricDataPaginator = client.get_paginator("get_metric_data")31    list_dashboards_paginator: ListDashboardsPaginator = client.get_paginator("list_dashboards")32    list_metrics_paginator: ListMetricsPaginator = client.get_paginator("list_metrics")33    ```34"""35from .client import CloudWatchClient36from .paginator import (37    DescribeAlarmHistoryPaginator,38    DescribeAlarmsPaginator,39    DescribeAnomalyDetectorsPaginator,40    GetMetricDataPaginator,41    ListDashboardsPaginator,42    ListMetricsPaginator,43)44from .service_resource import CloudWatchServiceResource45from .waiter import AlarmExistsWaiter, CompositeAlarmExistsWaiter46Client = CloudWatchClient47ServiceResource = CloudWatchServiceResource48__all__ = (49    "AlarmExistsWaiter",50    "Client",51    "CloudWatchClient",52    "CloudWatchServiceResource",53    "CompositeAlarmExistsWaiter",54    "DescribeAlarmHistoryPaginator",55    "DescribeAlarmsPaginator",56    "DescribeAnomalyDetectorsPaginator",57    "GetMetricDataPaginator",58    "ListDashboardsPaginator",59    "ListMetricsPaginator",60    "ServiceResource",...

setAnamolyDetectionBand.py

Source:setAnamolyDetectionBand.py

1import boto32import json3def cloudwatch(namespace,metricName,dimensions):4    cloudwatch_client=boto3.client('cloudwatch', region_name='ap-south-1')5    AnomalyDetector=cloudwatch_client.describe_anomaly_detectors(6            Namespace= namespace,7            MetricName=metricName,8            Dimensions=dimensions9        )10        # print(AnomalyDetector)11    if AnomalyDetector['AnomalyDetectors'] == []:12        response = cloudwatch_client.put_anomaly_detector(13            Namespace=namespace,14            MetricName=metricName,15            Dimensions=dimensions,16            Stat='Average',17        )18        print(response)19        print('Anomaly Detector model created')...

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