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Type annotations for boto3.CloudWatch 1.14.0 service, generated by mypy-boto3-buider 2.2.0

Project description

mypy-boto3-cloudwatch

PyPI - mypy-boto3-cloudwatch PyPI - Python Version Docs

Type annotations for boto3.CloudWatch 1.14.0 service compatible with mypy, VSCode, PyCharm and other tools.

Generated by mypy-boto3-buider 2.2.0.

More information can be found on boto3-stubs page.

How to install

Make sure you have mypy installed and activated in your IDE.

Install boto3-stubs for CloudWatch service.

python -m pip install boto3-stubs[cloudwatch]

How to use

Client annotations

CloudWatchClient provides annotations for boto3.client("cloudwatch").

import boto3

from mypy_boto3_cloudwatch import CloudWatchClient, CloudWatchServiceResource
from mypy_boto3_cloudwatch.paginator import (
    DescribeAlarmHistoryPaginator,
    DescribeAlarmsPaginator,
    GetMetricDataPaginator,
    ListDashboardsPaginator,
    ListMetricsPaginator,
)
from mypy_boto3_cloudwatch.service_resource import (
    Alarm,
    Metric,
    ServiceResourceAlarmsCollection,
    ServiceResourceMetricsCollection,
)
from mypy_boto3_cloudwatch.type_defs import AlarmHistoryItemTypeDef, ...
from mypy_boto3_cloudwatch.waiter import AlarmExistsWaiter, CompositeAlarmExistsWaiter

client: CloudWatchClient = boto3.client("cloudwatch")

# now client usage is checked by mypy and IDE should provide code auto-complete

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: CloudWatchClient = session.client("cloudwatch")

Paginators annotations

mypy_boto3_cloudwatch.paginator module contains type annotations for all paginators.

client: CloudWatchClient = boto3.client("cloudwatch")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
describe_alarm_history_paginator: DescribeAlarmHistoryPaginator = client.get_paginator("describe_alarm_history")
describe_alarms_paginator: DescribeAlarmsPaginator = client.get_paginator("describe_alarms")
get_metric_data_paginator: GetMetricDataPaginator = client.get_paginator("get_metric_data")
list_dashboards_paginator: ListDashboardsPaginator = client.get_paginator("list_dashboards")
list_metrics_paginator: ListMetricsPaginator = client.get_paginator("list_metrics")

Waiters annotations

mypy_boto3_cloudwatch.waiter module contains type annotations for all waiters.

client: CloudWatchClient = boto3.client("cloudwatch")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
alarm_exists_waiter: AlarmExistsWaiter = client.get_waiter("alarm_exists")
composite_alarm_exists_waiter: CompositeAlarmExistsWaiter = client.get_waiter("composite_alarm_exists")

Service Resource annotations

CloudWatchServiceResource provides annotations for boto3.resource("cloudwatch").

resource: CloudWatchServiceResource = boto3.resource("cloudwatch")

# now resource usage is checked by mypy and IDE should provide code auto-complete

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_resource: CloudWatchServiceResource = session.resource("cloudwatch")

Other resources annotations

mypy_boto3_cloudwatch.service_resource module contains type annotations for all resources.

resource: CloudWatchServiceResource = boto3.resource("cloudwatch")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
my_alarm: Alarm = resource.Alarm(...)
my_metric: Metric = resource.Metric(...)

Collections annotations

mypy_boto3_cloudwatch.service_resource module contains type annotations for all CloudWatchServiceResource collections.

resource: CloudWatchServiceResource = boto3.resource("cloudwatch")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
alarms: cloudwatch_resources.ServiceResourceAlarmsCollection = resource.alarms
metrics: cloudwatch_resources.ServiceResourceMetricsCollection = resource.metrics

Typed dictionations

mypy_boto3_cloudwatch.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

def get_structure() -> AlarmHistoryItemTypeDef:
    return {
      ...
    }

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_cloudwatch and other installed services.

# Run this command after you add or remove service packages
python -m mypy_boto3

Generated type annotations provide overloads for boto3.client and boto3.resource, boto3.Session.client and boto3.Session.resource functions, so explicit type annotations are not needed.

  • mypy supports function overloads as expected
  • PyCharm also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installed
  • VSCode does not currently support function overloads, use explicit type annotations
# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("cloudwatch")
resource = boto3.resource("cloudwatch")

session_client = boto3.Session().client("cloudwatch")
session_resource = boto3.Session().resource("cloudwatch")

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