mypy-boto3-controltower provides comprehensive type annotations for the `boto3` AWS Control Tower service client. It enhances the development experience by enabling static type checking with tools like `mypy` for `boto3` operations, catching potential errors at development time. This package provides stubs for `boto3` version 1.42.3 and is part of the `mypy-boto3-builder` ecosystem, which actively generates stubs for all `boto3` services. It is actively maintained with frequent updates reflecting `boto3` changes.
pip install mypy-boto3-controltower boto3Verified import paths — ran on the pinned version, not inferred.
Demonstrates how to obtain a type-hinted Control Tower client and use it to list resources. This setup allows `mypy` and other type checkers to perform static analysis on your `boto3` Control Tower code, catching potential errors at development time.
Upgrade your Python environment to 3.9 or newer. If you must use Python 3.8, pin `mypy-boto3-*` packages to versions prior to 8.12.0.
Review and update explicit `TypeDef` imports and usage in your codebase to match the new, shorter naming conventions, especially for request/response payloads.
Always install `boto3` alongside `mypy-boto3-controltower`. Do not attempt to import or use `mypy_boto3_controltower` directly for runtime operations; instead, use `boto3.client('controltower')` and rely on the installed stubs for type checking.Refer to the official `boto3` documentation for the most up-to-date service names and API methods. If a service name or its API changes, update your `boto3.client()` calls and potentially your `mypy-boto3-*` package version.