mypy-boto3-migrationhubstrategy: Type Annotations for AWS Migration Hub Strategy Recommendations

Warnings

• breaking Support for Python 3.8 was removed in `mypy-boto3-builder` version 8.12.0. Users on Python 3.8 or older must upgrade their Python environment to 3.9 or newer to continue receiving updates for `mypy-boto3-*` packages, including `mypy-boto3-migrationhubstrategy`.
  Fix: Upgrade your Python environment to version 3.9 or newer.
• gotcha When using standalone `mypy-boto3-*` packages, explicit type annotations are recommended for `boto3.client` or `session.client` calls (e.g., `client: MigrationHubStrategyRecommendationsClient = boto3.client(...)`). While type checkers might infer some types, explicit annotations ensure full autocompletion and static analysis benefits, especially when not using the larger `boto3-stubs` or `boto3-stubs-lite` packages.
  Fix: Always add explicit type annotations to your `boto3` client and resource objects, like `client: MigrationHubStrategyRecommendationsClient = session.client("migrationhubstrategy")`.
• breaking `mypy-boto3-builder` version 8.9.0 introduced breaking changes to `TypeDef` naming conventions (e.g., `CreateDistributionRequestRequestTypeDef` became `CreateDistributionRequestTypeDef`). If your code directly references these generated type definitions from older stub versions, it may break upon upgrade.
  Fix: Update your code to reflect the new, shorter `TypeDef` names. Review your type imports and usages from `mypy_boto3_migrationhubstrategy.type_defs`.
• gotcha As of `mypy-boto3-builder` 8.12.0, all generated packages have migrated to PEP 561, meaning stub files are now correctly located by type checkers without special configuration. If you previously relied on `MYPYPATH` to point to manually managed stub directories, this configuration might no longer be necessary or could behave unexpectedly.
  Fix: Ensure your `mypy` configuration correctly discovers installed packages. Remove any redundant `MYPYPATH` entries that might interfere with PEP 561-compliant stub discovery.
• gotcha PyCharm users may experience performance issues or high CPU usage due to how PyCharm handles `Literal` overloads in type annotations. The `mypy-boto3` project itself recommends using `boto3-stubs-lite` (or the equivalent service-specific lite package, if available) as a workaround until this PyCharm issue (PY-40997) is resolved.
  Fix: Consider installing `boto3-stubs-lite` or the lite version of the service stub if you experience performance problems in PyCharm. Alternatively, disable PyCharm's internal type checker and rely solely on `mypy`.

Install

• pip install boto3 mypy-boto3-migrationhubstrategy Install with pip

Imports

• MigrationHubStrategyRecommendationsClient

  from mypy_boto3_migrationhubstrategy.client import MigrationHubStrategyRecommendationsClient

  Import the specific client type for type hinting from the service-specific stub package.
• ListApplicationComponentsResponseTypeDef

  from mypy_boto3_migrationhubstrategy.type_defs import ListApplicationComponentsResponseTypeDef

  Import specific TypeDefs for response and request structures for more granular type checking.
• boto3.client

  import boto3
  from mypy_boto3_migrationhubstrategy.client import MigrationHubStrategyRecommendationsClient
  
  client: MigrationHubStrategyRecommendationsClient = boto3.client("migrationhubstrategy")

  Without explicit type annotation, type checkers like MyPy cannot fully infer the client's methods and attributes, limiting autocompletion and static analysis.

Quickstart

This quickstart demonstrates how to initialize the Migration Hub Strategy Recommendations client with type annotations and make a basic API call. It explicitly types the `boto3` client and the API response, enabling static type checking and enhanced IDE features. The code requires `boto3` and AWS credentials to run successfully.

import boto3
import os
from mypy_boto3_migrationhubstrategy.client import MigrationHubStrategyRecommendationsClient
from mypy_boto3_migrationhubstrategy.type_defs import ListApplicationComponentsResponseTypeDef

def get_application_components() -> ListApplicationComponentsResponseTypeDef:
    # Ensure AWS credentials are configured (e.g., via environment variables, ~/.aws/credentials)
    # For this example, we assume valid credentials are set up in the environment.
    # client: MigrationHubStrategyRecommendationsClient = boto3.client(
    #     "migrationhubstrategy", 
    #     region_name=os.environ.get("AWS_REGION", "us-east-1")
    # )
    # The above is correct, but for a runnable quickstart focusing on *typing*,
    # a minimal client creation is better without requiring full AWS setup for execution.
    # In a real application, you'd configure region, credentials, etc. appropriately.
    
    # Explicitly type the client for static analysis benefits
    client: MigrationHubStrategyRecommendationsClient = boto3.client("migrationhubstrategy")
    
    # Example API call with type-hinted response
    response: ListApplicationComponentsResponseTypeDef = client.list_application_components()
    
    print(f"Found {len(response.get('applicationComponentInfos', []))} application components.")
    for component in response.get('applicationComponentInfos', []):
        print(f"- {component.get('applicationComponentId')}: {component.get('applicationComponentName')}")
    
    return response

if __name__ == "__main__":
    # This part requires actual AWS credentials for a successful run.
    # You might need to set AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, and AWS_REGION
    # in your environment for this to execute without credential errors.
    try:
        get_application_components()
    except Exception as e:
        print(f"An error occurred: {e}. Please ensure AWS credentials are configured.")