Type Annotations for boto3 AccessAnalyzer

Warnings

• breaking Python 3.8 support was removed for all `mypy-boto3-builder` generated packages, including `mypy-boto3-accessanalyzer`, starting with builder version 8.12.0.
  Fix: Upgrade your Python environment to 3.9 or higher. If Python 3.8 is required, use an older version of `mypy-boto3-accessanalyzer` compatible with builder < 8.12.0.
• breaking TypeDef naming conventions changed in `mypy-boto3-builder` 8.9.0. For example, `CreateDistributionRequestRequestTypeDef` became `CreateDistributionRequestTypeDef`. This affects direct imports of specific type definitions.
  Fix: Review your code for direct imports of `type_defs` and update names according to the new conventions (e.g., remove redundant 'Request' suffixes or adjust 'Extra' postfixes). Refer to the specific service's `type_defs` module for correct names.
• gotcha When using Pylint with `TYPE_CHECKING` for conditional imports, Pylint might report undefined variables in the `else` block. This is a known issue with Pylint's handling of conditional typing.
  Fix: To resolve Pylint warnings, explicitly assign `object` to the type symbols in the `else` branch of the `TYPE_CHECKING` block: `else: AccessAnalyzerClient = object`.
• gotcha PyCharm users might experience slow performance or high CPU usage when using `mypy-boto3` stubs due to PyCharm's handling of `Literal` overloads (issue PY-40997).
  Fix: Consider installing `boto3-stubs-lite` (e.g., `pip install 'boto3-stubs-lite[accessanalyzer]'`) which provides a more RAM-friendly alternative by requiring explicit type annotations. Alternatively, disable PyCharm's internal type checker and rely solely on `mypy` or `pyright` for type checking.
• gotcha This package (`mypy-boto3-accessanalyzer`) is a standalone stub package for a specific service. For a more integrated approach, `boto3-stubs` with service-specific extras (`pip install 'boto3-stubs[accessanalyzer]'`) is often recommended, as it manages a consolidated `boto3` stub environment.
  Fix: Choose the installation method that best suits your project's needs. If managing multiple boto3 service types, `boto3-stubs` with extras can simplify dependency management.

Install

• pip install mypy-boto3-accessanalyzer boto3 mypy Install standalone package and dependencies
• pip install 'boto3-stubs[accessanalyzer]' boto3 mypy Install via boto3-stubs extra (recommended)

Imports

• AccessAnalyzerClient

  from mypy_boto3_accessanalyzer.client import AccessAnalyzerClient

  The `boto3` library itself does not provide explicit type annotations, hence direct import from `mypy_boto3_accessanalyzer` is necessary for type checking.
• AccessAnalyzerServiceName

  from mypy_boto3_accessanalyzer.literals import AccessAnalyzerServiceName

  For literal types used in client creation or other methods.
• ListAnalyzersResponseTypeDef

  from mypy_boto3_accessanalyzer.type_defs import ListAnalyzersResponseTypeDef

  Access specific TypeDefs for request/response objects.

Quickstart

This quickstart demonstrates how to obtain a type-hinted `AccessAnalyzerClient` using `mypy-boto3-accessanalyzer` and `boto3`. The `TYPE_CHECKING` block ensures type hints are only used during static analysis, avoiding runtime dependencies. The client returned by `get_accessanalyzer_client()` will provide autocomplete and type safety for all AccessAnalyzer operations and their associated data structures.

import boto3
from typing import TYPE_CHECKING

if TYPE_CHECKING:
    from mypy_boto3_accessanalyzer.client import AccessAnalyzerClient
    from mypy_boto3_accessanalyzer.type_defs import ListAnalyzersResponseTypeDef


def get_accessanalyzer_client() -> AccessAnalyzerClient:
    """Returns a type-hinted AccessAnalyzer client."""
    # boto3 client creation remains the same
    client: AccessAnalyzerClient = boto3.client("accessanalyzer")
    return client


if __name__ == "__main__":
    # Example usage
    client = get_accessanalyzer_client()
    
    # The client now has full type hints for methods and their parameters/returns.
    # For instance, client.list_analyzers() is type-checked.
    response: ListAnalyzersResponseTypeDef = client.list_analyzers()
    print(f"Found {len(response.get('analyzers', []))} Access Analyzers.")