mypy-boto3-codepipeline

import boto3 from typing import TYPE_CHECKING, List, Dict, Any # Guard type imports for runtime efficiency if TYPE_CHECKING: from mypy_boto3_codepipeline.client import CodePipelineClient from mypy_boto3_codepipeline.type_defs import ListPipelinesOutputTypeDef def get_codepipeline_pipelines() -> List[str]: # The actual runtime client from boto3 client: CodePipelineClient = boto3.client("codepipeline") # The type checker knows the methods available on 'client' response: ListPipelinesOutputTypeDef = client.list_pipelines() pipeline_names = [ p['name'] for p in response.get("pipelines", []) if 'name' in p and isinstance(p['name'], str) ] print(f"CodePipeline Pipelines: {pipeline_names}") return pipeline_names if __name__ == "__main__": # This example does not require specific credentials beyond default AWS configuration. # Ensure boto3 is configured (e.g., via AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, # or ~/.aws/credentials, or IAM roles). try: pipelines = get_codepipeline_pipelines() except Exception as e: print(f"Error fetching CodePipeline pipelines: {e}") print("Please ensure your AWS credentials and region are configured.")