PyPI 官网下载 | mypy-boto3-cloudwatch-1.12.25.0.tar.gz

# mypy-boto3-cloudwatch [](https://pypi.org/project/mypy-boto3-cloudwatch) [](https://pypi.org/project/mypy-boto3-cloudwatch) [](https://mypy-boto3-builder.readthedocs.io/) Type annotations for [boto3.CloudWatch 1.12.25](https://boto3.amazonaws.com/v1/documentation/api/1.12.25/reference/services/cloudwatch.html#CloudWatch) service compatible with [mypy](https://github.com/python/mypy), [VSCode](https://code.visualstudio.com/), [PyCharm](https://www.jetbrains.com/pycharm/) and other tools. Generated by [mypy-boto3-buider 1.0.5](https://github.com/vemel/mypy_boto3_builder). More information can be found on [boto3-stubs](https://pypi.org/project/boto3-stubs/) page. - [mypy-boto3-cloudwatch](#mypy-boto3-cloudwatch) - [How to use](#how-to-use) - [Type checking](#type-checking) - [How it works](#how-it-works) ## How to use ### Type checking Make sure you have [mypy](https://github.com/python/mypy) installed and activated in your IDE. Install `boto3-stubs` for `CloudWatch` service. ```bash python -m pip install boto3-stubs[mypy-boto3-cloudwatch] ``` Use `boto3` with `mypy_boto3` in your project and enjoy type checking and auto-complete. ```python import boto3 from mypy_boto3 import cloudwatch # alternative import if you do not want to install mypy_boto3 package # import mypy_boto3_cloudwatch as cloudwatch # Use this client as usual, now mypy can check if your code is valid. # Check if your IDE supports function overloads, # you probably do not need explicit type annotations # client = boto3.client("cloudwatch") client: cloudwatch.CloudWatchClient = boto3.client("cloudwatch") # works for session as well session = boto3.session.Session(region="us-west-1") session_client: cloudwatch.CloudWatchClient = session.client("cloudwatch") # Do you prefer resource approach? We've got you covered! resource: cloudwatch.CloudWatchServiceResource = boto3.resource("cloudwatch") # Waiters need type annotation on creation alarm_exists_waiter: cloudwatch.AlarmExistsWaiter = client.get_waiter("alarm_exists") composite_alarm_exists_waiter: cloudwatch.CompositeAlarmExistsWaiter = client.get_waiter("composite_alarm_exists") # Paginators need type annotation on creation describe_alarm_history_paginator: cloudwatch.DescribeAlarmHistoryPaginator = client.get_paginator("describe_alarm_history") describe_alarms_paginator: cloudwatch.DescribeAlarmsPaginator = client.get_paginator("describe_alarms") get_metric_data_paginator: cloudwatch.GetMetricDataPaginator = client.get_paginator("get_metric_data") list_dashboards_paginator: cloudwatch.ListDashboardsPaginator = client.get_paginator("list_dashboards") list_metrics_paginator: cloudwatch.ListMetricsPaginator = client.get_paginator("list_metrics") ``` ## How it works Fully automated [builder](https://github.com/vemel/mypy_boto3_builder) carefully generates type annotations for each service, patiently waiting for `boto3` updates. It delivers a drop-in type annotations for you and makes sure that: - All available `boto3` services are covered. - Each public class and method of every `boto3` service gets valid type annotations extracted from the documentation (blame `botocore` docs if types are incorrect). - Type annotations include up-to-date documentation. - Link to documentation is provided for every method. - Code is processed by [black](https://github.com/psf/black) for readability.