mypy-boto3-meteringmarketplace provides comprehensive type annotations for the `boto3` MarketplaceMetering service (version 1.42.58). Generated by `mypy-boto3-builder`, these stubs enhance development with static type checking, auto-completion, and error detection in IDEs and tools like mypy and pyright. The library frequently updates to stay in sync with `boto3` and `botocore` releases, ensuring up-to-date type definitions for AWS SDK interactions.
pip install mypy-boto3-meteringmarketplaceVerified import paths — ran on the pinned version, not inferred.
This quickstart demonstrates how to initialize a typed `MarketplaceMeteringClient` and make a sample API call like `register_usage`. Type hints are applied for the client and the response, leveraging the installed `mypy-boto3-meteringmarketplace` stubs. Replace placeholder values with actual AWS credentials and valid Marketplace Metering data. The `TYPE_CHECKING` block ensures that stub imports are only active during type checking, avoiding runtime dependencies on stub packages.
Upgrade your Python environment to 3.9 or newer.
Review your explicit `TypedDict` imports and usages, and update names according to the latest generated stubs.
Ensure your type checker (e.g., mypy, pyright) is up-to-date and configured to correctly resolve PEP 561 packages. Most modern setups should handle this automatically.
Install the lite version: `pip install boto3-stubs-lite[meteringmarketplace]` or disable PyCharm's type checker and rely on external tools like mypy/pyright.
Implement the `if TYPE_CHECKING:` pattern as shown in the quickstart example, ensuring Pylint correctly parses the code during non-type-checking runs.
Consult the official `boto3` documentation or `mypy-boto3-builder` releases for any service name changes and update your imports accordingly.