mypy-boto3-batch

import boto3 from typing import TYPE_CHECKING if TYPE_CHECKING: from mypy_boto3_batch.client import BatchClient from mypy_boto3_batch.type_defs import DescribeJobQueuesResponseTypeDef # Example of a Paginator import from mypy_boto3_batch.paginators import ListJobsPaginator def get_batch_client() -> 'BatchClient': """Returns a type-hinted boto3 Batch client.""" return boto3.client("batch") def describe_queues() -> 'DescribeJobQueuesResponseTypeDef': """Describes Batch job queues with type hints.""" client: BatchClient = get_batch_client() response = client.describe_job_queues() print(f"Job Queues: {len(response['jobQueues'])}") return response def list_all_jobs(): """Lists all jobs using a paginator with type hints.""" client: BatchClient = get_batch_client() paginator: ListJobsPaginator = client.get_paginator('list_jobs') for page in paginator.paginate(jobQueue='example-queue'): # Replace 'example-queue' with an actual queue for job in page.get('jobSummaryList', []): print(f"Job ID: {job['jobId']}, Name: {job['jobName']}") # Example usage (requires AWS credentials and an existing Batch setup) if __name__ == '__main__': # This code will execute if you have AWS credentials configured # and an AWS Batch environment. For type checking, no actual AWS call is needed. # To run this, ensure boto3 is configured, e.g., via AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION # Or by using 'aws configure' try: queues_response = describe_queues() # You can add more complex logic here # list_all_jobs() # Uncomment to test paginator, requires a valid jobQueue except Exception as e: print(f"Error interacting with AWS Batch (this is expected if AWS credentials/resources are not set up): {e}")