mypy-boto3-lakeformation Type Annotations for AWS LakeFormation

Warnings

• breaking Starting with `mypy-boto3-builder` 8.12.0 (and corresponding `mypy-boto3-*` releases like 1.42.79 for LakeFormation), Python 3.8 is no longer supported. Projects must use Python 3.9 or newer.
  Fix: Upgrade your Python environment to 3.9 or a later supported version.
• gotcha `mypy-boto3-lakeformation` provides only type annotations (`.pyi` stub files). You must also install the `boto3` library itself for your code to run. These stubs do not provide `boto3`'s runtime functionality.
  Fix: Ensure `boto3` is installed in your environment: `pip install boto3`.
• gotcha For optimal and accurate type checking, the version of `mypy-boto3-lakeformation` should ideally match the major and minor version of your installed `boto3` library. Mismatched versions can lead to incorrect type hints or unresolved references.
  Fix: Align the `mypy-boto3-lakeformation` version with your `boto3` version (e.g., if `boto3` is `1.42.x`, install `mypy-boto3-lakeformation==1.42.x`).
• breaking The `mypy-boto3-builder` (which generates this package) introduced breaking changes to `TypeDef` naming conventions in version 8.9.0. If you explicitly imported TypeDefs with older, longer names (e.g., `CreateDistributionRequestRequestTypeDef`), they might have been shortened (e.g., to `CreateDistributionRequestTypeDef`).
  Fix: Review your `TypeDef` imports and adjust names according to the updated conventions, typically by removing redundant 'Request' or 'Response' suffixes where applicable.

Install

• pip install mypy-boto3-lakeformation Direct Installation
• pip install 'boto3-stubs[lakeformation]' Via boto3-stubs meta-package

Imports

• LakeFormationClient

  from mypy_boto3_lakeformation.client import LakeFormationClient

• GetDataLakeSettingsResponseTypeDef

  from mypy_boto3_lakeformation.type_defs import GetDataLakeSettingsResponseTypeDef

• PrincipalPermissionsTypeDef

  from mypy_boto3_lakeformation.type_defs import PrincipalPermissionsTypeDef

Quickstart

This quickstart demonstrates how to initialize a `boto3` LakeFormation client with explicit type annotations and interact with it. It fetches the Data Lake settings and attempts to print the first Data Lake admin, leveraging `mypy-boto3-lakeformation`'s type definitions for enhanced code completion and error checking.

import boto3
from mypy_boto3_lakeformation.client import LakeFormationClient
from mypy_boto3_lakeformation.type_defs import (
    GetDataLakeSettingsResponseTypeDef,
    PrincipalPermissionsTypeDef
)

# Initialize boto3 client with explicit type annotation for static checking
# Make sure to have AWS credentials configured (e.g., via environment variables or ~/.aws/credentials)
client: LakeFormationClient = boto3.client("lakeformation", region_name="us-east-1")

try:
    # Example: Get Data Lake Settings
    response: GetDataLakeSettingsResponseTypeDef = client.get_data_lake_settings()

    print("Successfully retrieved Data Lake Settings:")
    # Accessing type-hinted response data
    if "DataLakeSettings" in response:
        settings = response["DataLakeSettings"]
        if "DataLakeAdmins" in settings and settings["DataLakeAdmins"]:
            admin: PrincipalPermissionsTypeDef = settings["DataLakeAdmins"][0]
            print(f"  First Data Lake Admin Principal: {admin['DataPrincipalIdentifier']}")
        else:
            print("  No Data Lake Admins found.")
    else:
        print("  'DataLakeSettings' key not found in response.")

except Exception as e:
    print(f"An error occurred: {e}")