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CloudTrailDataService module#

Index > CloudTrailDataService

Auto-generated documentation for CloudTrailDataService type annotations stubs module types-boto3-cloudtrail-data.

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==1.40.63' mypy-boto3-builder
  2. Select boto3 AWS SDK.
  3. Add CloudTrailDataService 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 CloudTrailDataService.

From PyPI with pip#

Install types-boto3 for CloudTrailDataService service.

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

# 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[cloudtrail-data]'

# standalone installation
python -m pip install types-boto3-cloudtrail-data

How to uninstall#

python -m pip uninstall -y types-boto3-cloudtrail-data

Usage#

Code samples can be found in Examples.

CloudTrailDataServiceClient#

Type annotations and code completion for boto3.client("cloudtrail-data") as CloudTrailDataServiceClient boto3 documentation

# CloudTrailDataServiceClient usage example

from boto3.session import Session

from types_boto3_cloudtrail_data.client import CloudTrailDataServiceClient

def get_client() -> CloudTrailDataServiceClient:
    return Session().client("cloudtrail-data")

Literals#

Type annotations for literals used in methods and schema.

# CloudTrailDataServiceServiceName usage example

from types_boto3_cloudtrail_data.literals import CloudTrailDataServiceServiceName

def get_value() -> CloudTrailDataServiceServiceName:
    return "cloudtrail-data"

Type definitions#

Type annotations for type definitions used in methods and schema.