SDK for Python (Boto3) を使用した Amazon S3 Control の例

次のコード例は、Amazon S3 Control AWS SDK for Python (Boto3) で を使用してアクションを実行し、一般的なシナリオを実装する方法を示しています。

基本 は、重要なオペレーションをサービス内で実行する方法を示すコード例です。

アクションはより大きなプログラムからのコードの抜粋であり、コンテキスト内で実行する必要があります。アクションは個々のサービス機能を呼び出す方法を示していますが、コンテキスト内のアクションは、関連するシナリオで確認できます。

各例には完全なソースコードへのリンクが含まれており、コンテキスト内でコードを設定および実行する方法の手順を確認できます。

はじめに

Hello Amazon S3 Control

次のコード例は、Amazon S3 Control の使用を開始する方法を示しています。

SDK for Python (Boto3)

注記

GitHub には、その他のリソースもあります。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

    def list_jobs(self, account_id: str) -> None:
        """
        List all batch jobs for the account.

        Args:
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.list_jobs(
                AccountId=account_id,
                JobStatuses=['Active', 'Complete', 'Cancelled', 'Failed', 'New', 'Paused', 'Pausing', 'Preparing', 'Ready', 'Suspended']
            )
            jobs = response.get('Jobs', [])
            for job in jobs:
                print(f"The job id is {job['JobId']}")
                print(f"The job priority is {job['Priority']}")
        except ClientError as e:
            print(f"Error listing jobs: {e}")
            raise

• API の詳細については、AWS SDK for Python (Boto3) API リファレンス の「ListJobs」を参照してください。

基本

基本を学ぶ

次のコード例は、Amazon S3 Control のコアオペレーションを学ぶ方法を示しています。

SDK for Python (Boto3)

注記

GitHub には、その他のリソースもあります。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

S3 バッチの基本シナリオについて説明します。

class S3BatchWrapper:
    """Wrapper class for managing S3 Batch Operations."""

    def __init__(self, s3_client: Any, s3control_client: Any, sts_client: Any) -> None:
        """
        Initializes the S3BatchWrapper with AWS service clients.
        
        :param s3_client: A Boto3 Amazon S3 client. This client provides low-level
                         access to AWS S3 services.
        :param s3control_client: A Boto3 Amazon S3 Control client. This client provides
                               low-level access to AWS S3 Control services.
        :param sts_client: A Boto3 AWS STS client. This client provides low-level
                          access to AWS STS services.
        """
        self.s3_client = s3_client
        self.s3control_client = s3control_client
        self.sts_client = sts_client
        # Get region from the client for bucket creation logic
        self.region_name = self.s3_client.meta.region_name

    def get_account_id(self) -> str:
        """
        Get AWS account ID.

        Returns:
            str: AWS account ID
        """
        return self.sts_client.get_caller_identity()["Account"]

    def create_bucket(self, bucket_name: str) -> None:
        """
        Create an S3 bucket.

        Args:
            bucket_name (str): Name of the bucket to create

        Raises:
            ClientError: If bucket creation fails
        """
        try:
            if self.region_name and self.region_name != 'us-east-1':
                self.s3_client.create_bucket(
                    Bucket=bucket_name,
                    CreateBucketConfiguration={
                        'LocationConstraint': self.region_name
                    }
                )
            else:
                self.s3_client.create_bucket(Bucket=bucket_name)
            print(f"Created bucket: {bucket_name}")
        except ClientError as e:
            print(f"Error creating bucket: {e}")
            raise

    def upload_files_to_bucket(self, bucket_name: str, file_names: List[str]) -> str:
        """
        Upload files to S3 bucket including manifest file.

        Args:
            bucket_name (str): Target bucket name
            file_names (list): List of file names to upload

        Returns:
            str: ETag of the manifest file

        Raises:
            ClientError: If file upload fails
        """
        try:
            for file_name in file_names:
                if file_name != "job-manifest.csv":
                    content = f"Content for {file_name}"
                    self.s3_client.put_object(
                        Bucket=bucket_name,
                        Key=file_name,
                        Body=content.encode('utf-8')
                    )
                    print(f"Uploaded {file_name} to {bucket_name}")

            manifest_content = ""
            for file_name in file_names:
                if file_name != "job-manifest.csv":
                    manifest_content += f"{bucket_name},{file_name}\n"

            manifest_response = self.s3_client.put_object(
                Bucket=bucket_name,
                Key="job-manifest.csv",
                Body=manifest_content.encode('utf-8')
            )
            print(f"Uploaded manifest file to {bucket_name}")
            print(f"Manifest content:\n{manifest_content}")
            return manifest_response['ETag'].strip('"')

        except ClientError as e:
            print(f"Error uploading files: {e}")
            raise

    def create_s3_batch_job(self, account_id: str, role_arn: str, manifest_location: str,
                           report_bucket_name: str) -> str:
        """
        Create an S3 batch operation job.

        Args:
            account_id (str): AWS account ID
            role_arn (str): IAM role ARN for batch operations
            manifest_location (str): Location of the manifest file
            report_bucket_name (str): Bucket for job reports

        Returns:
            str: Job ID

        Raises:
            ClientError: If job creation fails
        """
        try:
            bucket_name = manifest_location.split(':::')[1].split('/')[0]
            manifest_key = 'job-manifest.csv'
            manifest_obj = self.s3_client.head_object(
                Bucket=bucket_name,
                Key=manifest_key
            )
            etag = manifest_obj['ETag'].strip('"')
            
            response = self.s3control_client.create_job(
                AccountId=account_id,
                Operation={
                    'S3PutObjectTagging': {
                        'TagSet': [
                            {
                                'Key': 'BatchTag',
                                'Value': 'BatchValue'
                            },
                        ]
                    }
                },
                Report={
                    'Bucket': report_bucket_name,
                    'Format': 'Report_CSV_20180820',
                    'Enabled': True,
                    'Prefix': 'batch-op-reports',
                    'ReportScope': 'AllTasks'
                },
                Manifest={
                    'Spec': {
                        'Format': 'S3BatchOperations_CSV_20180820',
                        'Fields': ['Bucket', 'Key']
                    },
                    'Location': {
                        'ObjectArn': manifest_location,
                        'ETag': etag
                    }
                },
                Priority=10,
                RoleArn=role_arn,
                Description='Batch job for tagging objects',
                ConfirmationRequired=True
            )
            job_id = response['JobId']
            print(f"The Job id is {job_id}")
            return job_id
        except ClientError as e:
            print(f"Error creating batch job: {e}")
            if 'Message' in str(e):
                print(f"Detailed error message: {e.response['Message']}")
            raise

    def check_job_failure_reasons(self, job_id: str, account_id: str) -> List[Dict[str, Any]]:
        """
        Check for any failure reasons of a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID

        Returns:
            list: List of failure reasons

        Raises:
            ClientError: If checking job failure reasons fails
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            if 'FailureReasons' in response['Job']:
                for reason in response['Job']['FailureReasons']:
                    print(f"- {reason}")
            return response['Job'].get('FailureReasons', [])
        except ClientError as e:
            print(f"Error checking job failure reasons: {e}")
            raise

    def wait_for_job_ready(self, job_id: str, account_id: str, desired_status: str = 'Ready') -> bool:
        """
        Wait for a job to reach the desired status.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
            desired_status (str): Target status to wait for

        Returns:
            bool: True if desired status is reached, False otherwise

        Raises:
            ClientError: If checking job status fails
        """
        print(f"Waiting for job to become {desired_status}...")
        max_attempts = 60
        attempt = 0
        while attempt < max_attempts:
            try:
                response = self.s3control_client.describe_job(
                    AccountId=account_id,
                    JobId=job_id
                )
                current_status = response['Job']['Status']
                print(f"Current job status: {current_status}")
                if current_status == desired_status:
                    return True
                if current_status == 'Suspended':
                    print("Job is in Suspended state, can proceed with activation")
                    return True
                if current_status in ['Active', 'Failed', 'Cancelled', 'Complete']:
                    print(f"Job is in {current_status} state, cannot reach {desired_status} status")
                    if 'FailureReasons' in response['Job']:
                        print("Failure reasons:")
                        for reason in response['Job']['FailureReasons']:
                            print(f"- {reason}")
                    return False

                time.sleep(20)
                attempt += 1
            except ClientError as e:
                print(f"Error checking job status: {e}")
                raise
        print(f"Timeout waiting for job to become {desired_status}")
        return False

    def update_job_priority(self, job_id: str, account_id: str) -> None:
        """
        Update the priority of a batch job and start it.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            current_status = response['Job']['Status']
            print(f"Current job status: {current_status}")
            
            if current_status in ['Ready', 'Suspended']:
                self.s3control_client.update_job_priority(
                    AccountId=account_id,
                    JobId=job_id,
                    Priority=60
                )
                print("The job priority was updated")
                
                try:
                    self.s3control_client.update_job_status(
                        AccountId=account_id,
                        JobId=job_id,
                        RequestedJobStatus='Ready'
                    )
                    print("Job activated successfully")
                except ClientError as activation_error:
                    print(f"Note: Could not activate job automatically: {activation_error}")
                    print("Job priority was updated successfully. Job may need manual activation in the console.")
            elif current_status in ['Active', 'Completing', 'Complete']:
                print(f"Job is in '{current_status}' state - priority cannot be updated")
                if current_status == 'Completing':
                    print("Job is finishing up and will complete soon.")
                elif current_status == 'Complete':
                    print("Job has already completed successfully.")
                else:
                    print("Job is currently running.")
            else:
                print(f"Job is in '{current_status}' state - priority update not allowed")
                
        except ClientError as e:
            print(f"Error updating job priority: {e}")
            print("Continuing with the scenario...")
            return

    def cancel_job(self, job_id: str, account_id: str) -> None:
        """
        Cancel an S3 batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            current_status = response['Job']['Status']
            print(f"Current job status: {current_status}")

            if current_status in ['Ready', 'Suspended', 'Active']:
                self.s3control_client.update_job_status(
                    AccountId=account_id,
                    JobId=job_id,
                    RequestedJobStatus='Cancelled'
                )
                print(f"Job {job_id} was successfully canceled.")
            elif current_status in ['Completing', 'Complete']:
                print(f"Job is in '{current_status}' state - cannot be cancelled")
                if current_status == 'Completing':
                    print("Job is finishing up and will complete soon.")
                elif current_status == 'Complete':
                    print("Job has already completed successfully.")
            else:
                print(f"Job is in '{current_status}' state - cancel not allowed")
        except ClientError as e:
            print(f"Error canceling job: {e}")
            raise

    def describe_job_details(self, job_id: str, account_id: str) -> None:
        """
        Describe detailed information about a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            job = response['Job']
            print(f"Job ID: {job['JobId']}")
            print(f"Description: {job.get('Description', 'N/A')}")
            print(f"Status: {job['Status']}")
            print(f"Role ARN: {job['RoleArn']}")
            print(f"Priority: {job['Priority']}")
            if 'ProgressSummary' in job:
                progress = job['ProgressSummary']
                print(f"Progress Summary: Total={progress.get('TotalNumberOfTasks', 0)}, "
                      f"Succeeded={progress.get('NumberOfTasksSucceeded', 0)}, "
                      f"Failed={progress.get('NumberOfTasksFailed', 0)}")
        except ClientError as e:
            print(f"Error describing job: {e}")
            raise
    
    def get_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Get tags associated with a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.get_job_tagging(
                AccountId=account_id,
                JobId=job_id
            )
            tags = response.get('Tags', [])
            if tags:
                print(f"Tags for job {job_id}:")
                for tag in tags:
                    print(f"  {tag['Key']}: {tag['Value']}")
            else:
                print(f"No tags found for job ID: {job_id}")
        except ClientError as e:
            print(f"Error getting job tags: {e}")
            raise
    
    def put_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Add tags to a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            self.s3control_client.put_job_tagging(
                AccountId=account_id,
                JobId=job_id,
                Tags=[
                    {'Key': 'Environment', 'Value': 'Development'},
                    {'Key': 'Team', 'Value': 'DataProcessing'}
                ]
            )
            print(f"Additional tags were added to job {job_id}")
        except ClientError as e:
            print(f"Error adding job tags: {e}")
            raise
    
    def list_jobs(self, account_id: str) -> None:
        """
        List all batch jobs for the account.

        Args:
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.list_jobs(
                AccountId=account_id,
                JobStatuses=['Active', 'Complete', 'Cancelled', 'Failed', 'New', 'Paused', 'Pausing', 'Preparing', 'Ready', 'Suspended']
            )
            jobs = response.get('Jobs', [])
            for job in jobs:
                print(f"The job id is {job['JobId']}")
                print(f"The job priority is {job['Priority']}")
        except ClientError as e:
            print(f"Error listing jobs: {e}")
            raise
    
    def delete_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Delete all tags from a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            self.s3control_client.delete_job_tagging(
                AccountId=account_id,
                JobId=job_id
            )
            print(f"You have successfully deleted {job_id} tagging.")
        except ClientError as e:
            print(f"Error deleting job tags: {e}")
            raise

    def cleanup_resources(self, bucket_name: str, file_names: List[str]) -> None:
        """
        Clean up all resources created during the scenario.

        Args:
            bucket_name (str): Name of the bucket to clean up
            file_names (list): List of files to delete

        Raises:
            ClientError: If cleanup fails
        """
        try:
            for file_name in file_names:
                self.s3_client.delete_object(Bucket=bucket_name, Key=file_name)
                print(f"Deleted {file_name}")

            response = self.s3_client.list_objects_v2(
                Bucket=bucket_name,
                Prefix='batch-op-reports/'
            )
            if 'Contents' in response:
                for obj in response['Contents']:
                    self.s3_client.delete_object(
                        Bucket=bucket_name,
                        Key=obj['Key']
                    )
                    print(f"Deleted {obj['Key']}")

            self.s3_client.delete_bucket(Bucket=bucket_name)
            print(f"Deleted bucket {bucket_name}")
        except ClientError as e:
            print(f"Error in cleanup: {e}")
            raise

• API の詳細については、『AWS SDK for Python (Boto3) API リファレンス』の以下のトピックを参照してください。

  • CreateJob

  • DeleteJobTagging

  • DescribeJob

  • GetJobTagging

  • ListJobs

  • PutJobTagging

  • UpdateJobPriority

  • UpdateJobStatus

アクション

CreateJob

次の例は、CreateJob を使用する方法を説明しています。

SDK for Python (Boto3)

注記

GitHub には、その他のリソースもあります。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

    def create_s3_batch_job(self, account_id: str, role_arn: str, manifest_location: str,
                           report_bucket_name: str) -> str:
        """
        Create an S3 batch operation job.

        Args:
            account_id (str): AWS account ID
            role_arn (str): IAM role ARN for batch operations
            manifest_location (str): Location of the manifest file
            report_bucket_name (str): Bucket for job reports

        Returns:
            str: Job ID

        Raises:
            ClientError: If job creation fails
        """
        try:
            bucket_name = manifest_location.split(':::')[1].split('/')[0]
            manifest_key = 'job-manifest.csv'
            manifest_obj = self.s3_client.head_object(
                Bucket=bucket_name,
                Key=manifest_key
            )
            etag = manifest_obj['ETag'].strip('"')
            
            response = self.s3control_client.create_job(
                AccountId=account_id,
                Operation={
                    'S3PutObjectTagging': {
                        'TagSet': [
                            {
                                'Key': 'BatchTag',
                                'Value': 'BatchValue'
                            },
                        ]
                    }
                },
                Report={
                    'Bucket': report_bucket_name,
                    'Format': 'Report_CSV_20180820',
                    'Enabled': True,
                    'Prefix': 'batch-op-reports',
                    'ReportScope': 'AllTasks'
                },
                Manifest={
                    'Spec': {
                        'Format': 'S3BatchOperations_CSV_20180820',
                        'Fields': ['Bucket', 'Key']
                    },
                    'Location': {
                        'ObjectArn': manifest_location,
                        'ETag': etag
                    }
                },
                Priority=10,
                RoleArn=role_arn,
                Description='Batch job for tagging objects',
                ConfirmationRequired=True
            )
            job_id = response['JobId']
            print(f"The Job id is {job_id}")
            return job_id
        except ClientError as e:
            print(f"Error creating batch job: {e}")
            if 'Message' in str(e):
                print(f"Detailed error message: {e.response['Message']}")
            raise

• API の詳細については、AWS SDK for Python (Boto3) API リファレンス の「CreateJob」を参照してください。

DeleteJobTagging

次の例は、DeleteJobTagging を使用する方法を説明しています。

SDK for Python (Boto3)

注記

GitHub には、その他のリソースもあります。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

    def delete_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Delete all tags from a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            self.s3control_client.delete_job_tagging(
                AccountId=account_id,
                JobId=job_id
            )
            print(f"You have successfully deleted {job_id} tagging.")
        except ClientError as e:
            print(f"Error deleting job tags: {e}")
            raise

• API の詳細については、 AWS SDK for Python (Boto3) API リファレンスのDeleteJobTagging」を参照してください。

DescribeJob

次の例は、DescribeJob を使用する方法を説明しています。

SDK for Python (Boto3)

注記

GitHub には、その他のリソースもあります。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

    def describe_job_details(self, job_id: str, account_id: str) -> None:
        """
        Describe detailed information about a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            job = response['Job']
            print(f"Job ID: {job['JobId']}")
            print(f"Description: {job.get('Description', 'N/A')}")
            print(f"Status: {job['Status']}")
            print(f"Role ARN: {job['RoleArn']}")
            print(f"Priority: {job['Priority']}")
            if 'ProgressSummary' in job:
                progress = job['ProgressSummary']
                print(f"Progress Summary: Total={progress.get('TotalNumberOfTasks', 0)}, "
                      f"Succeeded={progress.get('NumberOfTasksSucceeded', 0)}, "
                      f"Failed={progress.get('NumberOfTasksFailed', 0)}")
        except ClientError as e:
            print(f"Error describing job: {e}")
            raise

• API の詳細については、「AWS SDK for Python (Boto3) API リファレンス」の「DescribeJob」を参照してください。

GetJobTagging

次の例は、GetJobTagging を使用する方法を説明しています。

SDK for Python (Boto3)

注記

GitHub には、その他のリソースもあります。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

    def get_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Get tags associated with a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.get_job_tagging(
                AccountId=account_id,
                JobId=job_id
            )
            tags = response.get('Tags', [])
            if tags:
                print(f"Tags for job {job_id}:")
                for tag in tags:
                    print(f"  {tag['Key']}: {tag['Value']}")
            else:
                print(f"No tags found for job ID: {job_id}")
        except ClientError as e:
            print(f"Error getting job tags: {e}")
            raise

• API の詳細については、 AWS SDK for Python (Boto3) API リファレンスの「GetJobTagging」を参照してください。

PutJobTagging

次の例は、PutJobTagging を使用する方法を説明しています。

SDK for Python (Boto3)

注記

GitHub には、その他のリソースもあります。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

    def put_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Add tags to a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            self.s3control_client.put_job_tagging(
                AccountId=account_id,
                JobId=job_id,
                Tags=[
                    {'Key': 'Environment', 'Value': 'Development'},
                    {'Key': 'Team', 'Value': 'DataProcessing'}
                ]
            )
            print(f"Additional tags were added to job {job_id}")
        except ClientError as e:
            print(f"Error adding job tags: {e}")
            raise

• API の詳細については、 AWS SDK for Python (Boto3) API リファレンスの「PutJobTagging」を参照してください。

UpdateJobPriority

次の例は、UpdateJobPriority を使用する方法を説明しています。

SDK for Python (Boto3)

注記

GitHub には、その他のリソースもあります。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

    def update_job_priority(self, job_id: str, account_id: str) -> None:
        """
        Update the priority of a batch job and start it.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            current_status = response['Job']['Status']
            print(f"Current job status: {current_status}")
            
            if current_status in ['Ready', 'Suspended']:
                self.s3control_client.update_job_priority(
                    AccountId=account_id,
                    JobId=job_id,
                    Priority=60
                )
                print("The job priority was updated")
                
                try:
                    self.s3control_client.update_job_status(
                        AccountId=account_id,
                        JobId=job_id,
                        RequestedJobStatus='Ready'
                    )
                    print("Job activated successfully")
                except ClientError as activation_error:
                    print(f"Note: Could not activate job automatically: {activation_error}")
                    print("Job priority was updated successfully. Job may need manual activation in the console.")
            elif current_status in ['Active', 'Completing', 'Complete']:
                print(f"Job is in '{current_status}' state - priority cannot be updated")
                if current_status == 'Completing':
                    print("Job is finishing up and will complete soon.")
                elif current_status == 'Complete':
                    print("Job has already completed successfully.")
                else:
                    print("Job is currently running.")
            else:
                print(f"Job is in '{current_status}' state - priority update not allowed")
                
        except ClientError as e:
            print(f"Error updating job priority: {e}")
            print("Continuing with the scenario...")
            return

• API の詳細については、 AWS SDK for Python (Boto3) API リファレンスのUpdateJobPriority」を参照してください。

UpdateJobStatus

次の例は、UpdateJobStatus を使用する方法を説明しています。

SDK for Python (Boto3)

注記

GitHub には、その他のリソースもあります。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

    def cancel_job(self, job_id: str, account_id: str) -> None:
        """
        Cancel an S3 batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            current_status = response['Job']['Status']
            print(f"Current job status: {current_status}")

            if current_status in ['Ready', 'Suspended', 'Active']:
                self.s3control_client.update_job_status(
                    AccountId=account_id,
                    JobId=job_id,
                    RequestedJobStatus='Cancelled'
                )
                print(f"Job {job_id} was successfully canceled.")
            elif current_status in ['Completing', 'Complete']:
                print(f"Job is in '{current_status}' state - cannot be cancelled")
                if current_status == 'Completing':
                    print("Job is finishing up and will complete soon.")
                elif current_status == 'Complete':
                    print("Job has already completed successfully.")
            else:
                print(f"Job is in '{current_status}' state - cancel not allowed")
        except ClientError as e:
            print(f"Error canceling job: {e}")
            raise

• API の詳細については、 AWS SDK for Python (Boto3) API リファレンスのUpdateJobStatus」を参照してください。