{"id":3134,"library":"mypy-boto3-s3control","title":"mypy-boto3-s3control","description":"mypy-boto3-s3control provides type annotations for the AWS Boto3 S3Control client, including explicit type hints for clients, paginators, waiters, and TypeDefs. This significantly enhances static analysis, code completion, and overall developer experience in IDEs like VSCode and PyCharm when working with the AWS SDK for Python (Boto3). It is part of the `mypy-boto3` ecosystem, which generates these stubs based on the latest Boto3 service definitions, with regular updates following Boto3 releases.","status":"active","version":"1.42.80","language":"en","source_language":"en","source_url":"https://github.com/youtype/mypy_boto3_builder","tags":["AWS","Boto3","Typing","Mypy","S3Control","Type Annotations","Stubs","Static Analysis"],"install":[{"cmd":"pip install mypy-boto3-s3control boto3","lang":"bash","label":"Standalone Installation (recommended if you only need S3Control stubs)"},{"cmd":"pip install 'boto3-stubs[s3control]' boto3","lang":"bash","label":"Using boto3-stubs with extras (for multiple service stubs)"}],"dependencies":[{"reason":"Provides the runtime AWS SDK for Python; mypy-boto3-s3control only provides type annotations.","package":"boto3","optional":false},{"reason":"Requires Python 3.9 or newer.","package":"python","optional":false}],"imports":[{"note":"While `from mypy_boto3_s3control import S3ControlClient` might work due to `__init__.py` re-exports, directly importing from `mypy_boto3_s3control.client` is more explicit and robust, especially for IDE type inference.","wrong":"from mypy_boto3_s3control import S3ControlClient","symbol":"S3ControlClient","correct":"from mypy_boto3_s3control.client import S3ControlClient"},{"note":"For type hints of paginator objects.","symbol":"ListAccessPointsForDirectoryBucketsPaginator","correct":"from mypy_boto3_s3control.paginator import ListAccessPointsForDirectoryBucketsPaginator"},{"note":"For type hints of request/response dictionaries (TypedDicts).","symbol":"CreateAccessPointRequestRequestTypeDef","correct":"from mypy_boto3_s3control.type_defs import CreateAccessPointRequestRequestTypeDef"}],"quickstart":{"code":"import boto3\nfrom mypy_boto3_s3control.client import S3ControlClient\nfrom mypy_boto3_s3control.type_defs import ListAccessPointsResponseTypeDef\n\ndef get_s3control_client() -> S3ControlClient:\n    \"\"\"Returns a typed S3Control client.\"\"\"\n    # boto3.client returns an untyped client by default.\n    # The explicit type annotation (S3ControlClient) provides type checking.\n    client: S3ControlClient = boto3.client(\"s3control\")\n    return client\n\ndef list_access_points(client: S3ControlClient, account_id: str) -> ListAccessPointsResponseTypeDef:\n    \"\"\"Lists S3 access points with type checking.\"\"\"\n    response: ListAccessPointsResponseTypeDef = client.list_access_points(\n        AccountId=account_id\n    )\n    return response\n\nif __name__ == \"__main__\":\n    # Replace with your AWS account ID\n    aws_account_id = \"012345678901\" # os.environ.get('AWS_ACCOUNT_ID', '012345678901')\n    \n    s3_control_client = get_s3control_client()\n    print(f\"S3Control Client type: {type(s3_control_client)}\")\n\n    # Example usage (will typically require valid credentials and permissions)\n    try:\n        access_points = list_access_points(s3_control_client, aws_account_id)\n        print(f\"Found {len(access_points.get('AccessPointList', []))} S3 access points.\")\n    except Exception as e:\n        print(f\"Error listing access points (credentials/permissions might be needed): {e}\")\n","lang":"python","description":"This example demonstrates how to initialize a type-hinted `S3ControlClient` and use it to call a method like `list_access_points`. The type annotations ensure that method calls and their parameters/return types are checked statically by tools like MyPy or your IDE, catching potential errors before runtime. Remember to have `boto3` installed alongside `mypy-boto3-s3control`."},"warnings":[{"fix":"Upgrade your Python environment to 3.9 or newer. The `requires_python` metadata is `^3.9`.","message":"Python 3.8 support was removed for all `mypy-boto3` packages, including `mypy-boto3-s3control`, starting with `mypy-boto3-builder` version 8.12.0.","severity":"breaking","affected_versions":"mypy-boto3-builder >=8.12.0 (generating packages like mypy-boto3-s3control)"},{"fix":"Ensure your environment and tooling are up-to-date and correctly handle PEP 561 packages. Most modern type checkers and IDEs should support this automatically.","message":"The `mypy-boto3` ecosystem migrated to PEP 561 compliant packages with `mypy-boto3-builder` 8.12.0. While this is generally an improvement for type checker discovery, it might affect custom build systems or older IDE integrations that expect different package structures for stub files.","severity":"breaking","affected_versions":"mypy-boto3-builder >=8.12.0 (generating packages like mypy-boto3-s3control)"},{"fix":"Review and update explicit TypeDef references in your code to match the new naming conventions.","message":"TypedDicts for packed method arguments may have shorter names starting with `mypy-boto3-builder` version 8.9.0. For example, `CreateDistributionRequestRequestTypeDef` might become `CreateDistributionRequestTypeDef`. This could break code explicitly referencing the older, longer TypeDef names.","severity":"breaking","affected_versions":"mypy-boto3-builder >=8.9.0 (generating packages like mypy-boto3-s3control)"},{"fix":"Ensure `boto3` is installed in your environment alongside `mypy-boto3-s3control` (e.g., `pip install boto3 mypy-boto3-s3control`).","message":"`mypy-boto3-s3control` provides *only* type annotations. You must also install `boto3` for the actual runtime functionality of the AWS SDK for Python.","severity":"gotcha","affected_versions":"All versions"},{"fix":"Always add explicit type annotations when initializing Boto3 clients or resources from `boto3.client()` or `session.client()`.","message":"For optimal type checking and auto-completion, especially if not using the `boto3-stubs` package with extras, explicitly annotating the client variable with `S3ControlClient` (e.g., `client: S3ControlClient = boto3.client(\"s3control\")`) is highly recommended.","severity":"gotcha","affected_versions":"All versions"},{"fix":"If experiencing performance issues in PyCharm, consider installing `boto3-stubs-lite[s3control]` instead of `mypy-boto3-s3control`, or configure PyCharm to use an external type checker.","message":"PyCharm users might experience slow performance with Literal overloads. The `mypy-boto3` documentation suggests using the `lite` versions of stub packages to mitigate this issue or disabling PyCharm's internal type checker in favor of external tools like `mypy` or `pyright`.","severity":"gotcha","affected_versions":"All versions, specifically affecting PyCharm users"}],"env_vars":null,"last_verified":"2026-04-11T00:00:00.000Z","next_check":"2026-07-10T00:00:00.000Z"}