@taskasyncdefbatch_submit(job_name:str,job_queue:str,job_definition:str,aws_credentials:AwsCredentials,**batch_kwargs:Optional[Dict[str,Any]],)->str:""" Submit a job to the AWS Batch job service. Args: job_name: The AWS batch job name. job_queue: Name of the AWS batch job queue. job_definition: The AWS batch job definition. aws_credentials: Credentials to use for authentication with AWS. **batch_kwargs: Additional keyword arguments to pass to the boto3 `submit_job` function. See the documentation for [submit_job](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/batch.html#Batch.Client.submit_job) for more details. Returns: The id corresponding to the job. Example: Submits a job to batch. ```python from prefect import flow from prefect_aws import AwsCredentials from prefect_aws.batch import batch_submit @flow def example_batch_submit_flow(): aws_credentials = AwsCredentials( aws_access_key_id="acccess_key_id", aws_secret_access_key="secret_access_key" ) job_id = batch_submit( "job_name", "job_queue", "job_definition", aws_credentials ) return job_id example_batch_submit_flow() ``` """# noqalogger=get_run_logger()logger.info("Preparing to submit %s job to %s job queue",job_name,job_queue)batch_client=aws_credentials.get_boto3_session().client("batch")response=awaitrun_sync_in_worker_thread(batch_client.submit_job,jobName=job_name,jobQueue=job_queue,jobDefinition=job_definition,**batch_kwargs,)returnresponse["jobId"]