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MarketplaceMetering module#

Index > MarketplaceMetering

Auto-generated documentation for MarketplaceMetering type annotations stubs module types-boto3-meteringmarketplace.

How to install#

You can generate type annotations for boto3 package locally with mypy_boto3_builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'boto3==1.35.86' mypy_boto3_builder
  2. Select boto3 AWS SDK.
  3. Add MarketplaceMetering service.
  4. Use provided commands to install generated packages.

VSCode extension#

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and MarketplaceMetering.

From PyPI with pip#

Install types-boto3 for MarketplaceMetering service.

# install with boto3 type annotations
python -m pip install 'types-boto3[meteringmarketplace]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-boto3-lite[meteringmarketplace]'

# standalone installation
python -m pip install types-boto3-meteringmarketplace

How to uninstall#

python -m pip uninstall -y types-boto3-meteringmarketplace

Usage#

Code samples can be found in Examples.

MarketplaceMeteringClient#

Type annotations and code completion for boto3.client("meteringmarketplace") as MarketplaceMeteringClient boto3 documentation

# MarketplaceMeteringClient usage example

from boto3.session import Session

from types_boto3_meteringmarketplace.client import MarketplaceMeteringClient

def get_client() -> MarketplaceMeteringClient:
    return Session().client("meteringmarketplace")

Literals#

Type annotations for literals used in methods and schema.

# UsageRecordResultStatusType usage example

from types_boto3_meteringmarketplace.literals import UsageRecordResultStatusType

def get_value() -> UsageRecordResultStatusType:
    return "CustomerNotSubscribed"

Type definitions#

Type annotations for type definitions used in methods and schema.