{"id":3022,"library":"mypy-boto3-appmesh","title":"mypy-boto3-appmesh","description":"mypy-boto3-appmesh provides type annotations for the boto3 AppMesh 1.42.3 service, generated using mypy-boto3-builder 8.12.0. This library enhances type checking and IDE autocompletion for AWS SDK usage in Python projects. It is part of the larger `mypy-boto3` ecosystem which aims to provide comprehensive type hints for all boto3 services and closely follows boto3's release cycle.","status":"active","version":"1.42.3","language":"en","source_language":"en","source_url":"https://github.com/youtype/mypy_boto3_builder","tags":["type-hints","mypy","boto3","aws","appmesh","stubs"],"install":[{"cmd":"pip install mypy-boto3-appmesh boto3","lang":"bash","label":"Install with pip"}],"dependencies":[{"reason":"mypy-boto3-appmesh provides type hints for boto3's AppMesh client and resources; boto3 itself is required for runtime functionality.","package":"boto3","optional":false}],"imports":[{"note":"Import the typed client for boto3.client('appmesh')","symbol":"AppMeshClient","correct":"from mypy_boto3_appmesh import AppMeshClient"},{"note":"Import the typed service resource for boto3.resource('appmesh')","symbol":"AppMeshServiceResource","correct":"from mypy_boto3_appmesh import AppMeshServiceResource"},{"note":"Import specific TypedDicts for explicit response type hinting.","symbol":"ListMeshesResponseTypeDef","correct":"from mypy_boto3_appmesh.type_defs import ListMeshesResponseTypeDef"}],"quickstart":{"code":"import os\nfrom typing import TYPE_CHECKING\nimport boto3\n\nif TYPE_CHECKING:\n    from mypy_boto3_appmesh import AppMeshClient\n    from mypy_boto3_appmesh.type_defs import ListMeshesResponseTypeDef\n\n# Ensure AWS credentials are configured (e.g., via environment variables or ~/.aws/credentials)\n# For example:\n# os.environ['AWS_ACCESS_KEY_ID'] = os.environ.get('AWS_ACCESS_KEY_ID', 'YOUR_ACCESS_KEY')\n# os.environ['AWS_SECRET_ACCESS_KEY'] = os.environ.get('AWS_SECRET_ACCESS_KEY', 'YOUR_SECRET_KEY')\n# os.environ['AWS_REGION'] = os.environ.get('AWS_REGION', 'us-east-1')\n\ndef list_app_meshes() -> None:\n    session = boto3.Session()\n    client: AppMeshClient = session.client(\"appmesh\")\n\n    try:\n        # Using explicit type annotation for the response for demonstration\n        response: ListMeshesResponseTypeDef = client.list_meshes()\n        print(\"App Mesh Meshes:\")\n        for mesh in response.get(\"meshes\", []):\n            print(f\"  - {mesh.get('meshName')}\")\n    except Exception as e:\n        print(f\"Error listing App Meshes: {e}\")\n\nif __name__ == \"__main__\":\n    list_app_meshes()","lang":"python","description":"This example demonstrates how to initialize a typed AppMesh client and use it to list existing meshes. Type hints provide autocompletion and static analysis for client methods and their responses. The `TYPE_CHECKING` guard ensures `mypy-boto3-appmesh` is only a development dependency."},"warnings":[{"fix":"Upgrade to Python 3.9 or newer.","message":"Python 3.8 is no longer supported by `mypy-boto3-builder` (version 8.12.0 and above), which generates `mypy-boto3-appmesh`.","severity":"breaking","affected_versions":"mypy-boto3-builder >= 8.12.0 (effectively mypy-boto3-appmesh versions generated by it)"},{"fix":"Review and update `TypeDef` import paths and names in your codebase according to the new conventions.","message":"Type definition (TypedDict) naming conventions changed in `mypy-boto3-builder`. Shorter names are used, and 'Extra' postfixes moved, which can break existing explicit `TypeDef` imports.","severity":"breaking","affected_versions":"mypy-boto3-builder >= 8.9.0 (check generated `type_defs.pyi` for changes)"},{"fix":"Always install `boto3` alongside `mypy-boto3-appmesh` (e.g., `pip install mypy-boto3-appmesh boto3`).","message":"This package only provides type annotations. The `boto3` library itself must be installed in your environment for runtime execution of AWS API calls.","severity":"gotcha","affected_versions":"All"},{"fix":"Wrap type imports in a `if TYPE_CHECKING:` block, and optionally define `object` aliases for non-type-checking environments.","message":"For Pylint compatibility, if `mypy-boto3-appmesh` is a dev-only dependency, Pylint may complain about undefined variables. Using `if TYPE_CHECKING:` guards around imports helps.","severity":"gotcha","affected_versions":"All, with Pylint"},{"fix":"Explicitly annotate your client and resource objects, e.g., `client: AppMeshClient = session.client(\"appmesh\")`.","message":"Some IDEs (like VSCode with certain extensions) might require explicit type annotations for `boto3.client()` and `boto3.resource()` calls to provide full autocomplete and type checking, even if `mypy` itself can infer them.","severity":"gotcha","affected_versions":"All, with specific IDE configurations"},{"fix":"Import and use the specific `RequestTypeDef` for method arguments, either by constructing a dictionary matching its shape or by using a type cast.","message":"When passing dictionaries as arguments to boto3 methods, ensure they match the generated `TypedDict` structure. Mypy will flag direct dictionaries as type mismatches if not explicitly cast or constructed as the `TypedDict`.","severity":"gotcha","affected_versions":"All"}],"env_vars":null,"last_verified":"2026-04-11T00:00:00.000Z","next_check":"2026-07-10T00:00:00.000Z"}