Type annotations for boto3 ApplicationCostProfiler

Warnings

• breaking Python 3.8 support has been removed since mypy-boto3-builder 8.12.0 (which generated this package). Users on Python 3.8 will experience errors as `mypy` and `typeshed` no longer support it.
  Fix: Upgrade your Python environment to 3.9 or higher. Update your `mypy` version to be compatible with your Python version.
• breaking The builder migrated to PEP 561 compliant packages with version 8.12.0. This might affect how some tools or legacy environments interpret the stub packages.
  Fix: Ensure your packaging tools (pip, poetry, etc.) are up-to-date. In most modern setups, this change is transparent, but older or custom environments might need adjustment.
• breaking Starting with mypy-boto3-builder 8.9.0, TypeDef names for packed method arguments became shorter (e.g., `CreateDistributionRequestRequestTypeDef` -> `CreateDistributionRequestTypeDef`), and conflicting `Extra` postfixes moved to the end (e.g., `CreateDistributionExtraRequestTypeDef` -> `CreateDistributionRequestExtraTypeDef`).
  Fix: If you explicitly import and use TypeDef objects, review your code for updated naming conventions. Consult the service-specific `type_defs.pyi` for correct names.
• gotcha Some IDEs (like VSCode with older Python extensions) may require explicit type annotations for `boto3.client()` or `boto3.session.client()` calls to get full autocomplete and type checking, as function overloads might not be fully supported by the IDE's language server.
  Fix: Explicitly cast the client: `client: ApplicationCostProfilerClient = boto3.client('applicationcostprofiler')`. Using the `boto3-stubs` package (rather than individual `mypy-boto3-service` packages) often improves implicit type inference.
• gotcha Pylint might complain about undefined variables when using `TYPE_CHECKING` conditional imports. This is a known issue in Pylint's static analysis.
  Fix: Use a workaround to set types to `object` in non-`TYPE_CHECKING` mode: `if TYPE_CHECKING: from mypy_boto3_applicationcostprofiler.client import ApplicationCostProfilerClient else: ApplicationCostProfilerClient = object`.

Install

• pip install mypy-boto3-applicationcostprofiler Install standalone package
• pip install 'boto3-stubs[applicationcostprofiler]' Install via boto3-stubs extras (recommended)

Imports

• ApplicationCostProfilerClient

  from mypy_boto3_applicationcostprofiler.client import ApplicationCostProfilerClient

• ApplicationCostProfilerServiceName

  from mypy_boto3_applicationcostprofiler.type_defs import ApplicationCostProfilerServiceName

  Type definitions are typically imported from `type_defs` or `literals` submodules for explicit usage.

Quickstart

This quickstart demonstrates how to obtain a type-hinted boto3 client for the ApplicationCostProfiler service. It uses `TYPE_CHECKING` for conditional imports, ensuring the stubs are only used during type checking. A sample API call `list_report_definitions` is included to show typical usage with type safety.

import boto3
from typing import TYPE_CHECKING

if TYPE_CHECKING:
    from mypy_boto3_applicationcostprofiler.client import ApplicationCostProfilerClient
    from mypy_boto3_applicationcostprofiler.type_defs import ListReportDefinitionsOutputTypeDef

def get_app_cost_profiler_client() -> ApplicationCostProfilerClient:
    """Returns a typed ApplicationCostProfiler client."""
    return boto3.client('applicationcostprofiler')

client = get_app_cost_profiler_client()

try:
    # Example operation: List report definitions
    response: ListReportDefinitionsOutputTypeDef = client.list_report_definitions()
    print(f"Successfully listed {len(response.get('reportDefinitions', []))} report definitions.")
except client.exceptions.ClientError as e:
    print(f"Error listing report definitions: {e}")