DatasetImportJob ¶

class DatasetImportJob(TypedDict, closed=True):
    job_name: NotRequired["capo_personalize.types.name.Name"]
    """<p>The name of the import job.</p>"""
    dataset_import_job_arn: NotRequired["capo_personalize.types.arn.Arn"]
    """<p>The ARN of the dataset import job.</p>"""
    dataset_arn: NotRequired["capo_personalize.types.arn.Arn"]
    """<p>The Amazon Resource Name (ARN) of the dataset that receives the imported data.</p>"""
    data_source: NotRequired["capo_personalize.types.data_source.DataSource"]
    """<p>The Amazon S3 bucket that contains the training data to import.</p>"""
    role_arn: NotRequired["capo_personalize.types.arn.Arn"]
    """<p>The ARN of the IAM role that has permissions to read from the Amazon S3 data source.</p>"""
    status: NotRequired["capo_personalize.types.status.Status"]
    """<p>The status of the dataset import job.</p> <p>A dataset import job can be in one of the following states:</p> <ul> <li> <p>CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED</p> </li> </ul>"""
    creation_date_time: NotRequired["capo_personalize.types.date.Date"]
    """<p>The creation date and time (in Unix time) of the dataset import job.</p>"""
    last_updated_date_time: NotRequired["capo_personalize.types.date.Date"]
    """<p>The date and time (in Unix time) the dataset was last updated.</p>"""
    failure_reason: NotRequired["capo_personalize.types.failure_reason.FailureReason"]
    """<p>If a dataset import job fails, provides the reason why.</p>"""
    import_mode: NotRequired["capo_personalize.types.import_mode.ImportMode"]
    """<p>The import mode used by the dataset import job to import new records.</p>"""
    publish_attribution_metrics_to_s3: NotRequired[
        "capo_personalize.types.boolean.Boolean"
    ]
    """<p>Whether the job publishes metrics to Amazon S3 for a metric attribution.</p>"""