Python库 | mypy-boto3-application-autoscaling-1.12.31.0.tar.gz

# mypy-boto3-application-autoscaling [](https://pypi.org/project/mypy-boto3-application-autoscaling) [](https://pypi.org/project/mypy-boto3-application-autoscaling) [](https://mypy-boto3-builder.readthedocs.io/) Type annotations for [boto3.ApplicationAutoScaling 1.12.31](https://boto3.amazonaws.com/v1/documentation/api/1.12.31/reference/services/application-autoscaling.html#ApplicationAutoScaling) 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 1.0.6](https://github.com/vemel/mypy_boto3_builder). More information can be found on [boto3-stubs](https://pypi.org/project/boto3-stubs/) page. - [mypy-boto3-application-autoscaling](#mypy-boto3-application-autoscaling) - [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 `ApplicationAutoScaling` service. ```bash python -m pip install boto3-stubs[mypy-boto3-application-autoscaling] ``` Use `boto3` with `mypy_boto3` in your project and enjoy type checking and auto-complete. ```python import boto3 from mypy_boto3 import application_autoscaling # alternative import if you do not want to install mypy_boto3 package # import mypy_boto3_application_autoscaling as application_autoscaling # 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("application-autoscaling") client: application_autoscaling.ApplicationAutoScalingClient = boto3.client("application-autoscaling") # works for session as well session = boto3.session.Session(region="us-west-1") session_client: application_autoscaling.ApplicationAutoScalingClient = session.client("application-autoscaling") # Paginators need type annotation on creation describe_scalable_targets_paginator: application_autoscaling.DescribeScalableTargetsPaginator = client.get_paginator("describe_scalable_targets") describe_scaling_activities_paginator: application_autoscaling.DescribeScalingActivitiesPaginator = client.get_paginator("describe_scaling_activities") describe_scaling_policies_paginator: application_autoscaling.DescribeScalingPoliciesPaginator = client.get_paginator("describe_scaling_policies") describe_scheduled_actions_paginator: application_autoscaling.DescribeScheduledActionsPaginator = client.get_paginator("describe_scheduled_actions") ``` ## 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.