SageMakergeospatialcapabilities / Client / get_vector_enrichment_job

get_vector_enrichment_job#

SageMakergeospatialcapabilities.Client.get_vector_enrichment_job(**kwargs)#

Retrieves details of a Vector Enrichment Job for a given job Amazon Resource Name (ARN).

See also: AWS API Documentation

Request Syntax

response = client.get_vector_enrichment_job(
    Arn='string'
)
Parameters:

Arn (string) –

[REQUIRED]

The Amazon Resource Name (ARN) of the Vector Enrichment job.

Return type:

dict

Returns:

Response Syntax

{
    'Arn': 'string',
    'CreationTime': datetime(2015, 1, 1),
    'DurationInSeconds': 123,
    'ErrorDetails': {
        'ErrorMessage': 'string',
        'ErrorType': 'CLIENT_ERROR'|'SERVER_ERROR'
    },
    'ExecutionRoleArn': 'string',
    'ExportErrorDetails': {
        'Message': 'string',
        'Type': 'CLIENT_ERROR'|'SERVER_ERROR'
    },
    'ExportStatus': 'IN_PROGRESS'|'SUCCEEDED'|'FAILED',
    'InputConfig': {
        'DataSourceConfig': {
            'S3Data': {
                'KmsKeyId': 'string',
                'S3Uri': 'string'
            }
        },
        'DocumentType': 'CSV'
    },
    'JobConfig': {
        'MapMatchingConfig': {
            'IdAttributeName': 'string',
            'TimestampAttributeName': 'string',
            'XAttributeName': 'string',
            'YAttributeName': 'string'
        },
        'ReverseGeocodingConfig': {
            'XAttributeName': 'string',
            'YAttributeName': 'string'
        }
    },
    'KmsKeyId': 'string',
    'Name': 'string',
    'Status': 'INITIALIZING'|'IN_PROGRESS'|'STOPPING'|'STOPPED'|'COMPLETED'|'FAILED'|'DELETING'|'DELETED',
    'Tags': {
        'string': 'string'
    },
    'Type': 'REVERSE_GEOCODING'|'MAP_MATCHING'
}

Response Structure

  • (dict) –

    • Arn (string) –

      The Amazon Resource Name (ARN) of the Vector Enrichment job.

    • CreationTime (datetime) –

      The creation time.

    • DurationInSeconds (integer) –

      The duration of the Vector Enrichment job, in seconds.

    • ErrorDetails (dict) –

      Details about the errors generated during the Vector Enrichment job.

      • ErrorMessage (string) –

        A message that you define and then is processed and rendered by the Vector Enrichment job when the error occurs.

      • ErrorType (string) –

        The type of error generated during the Vector Enrichment job.

    • ExecutionRoleArn (string) –

      The Amazon Resource Name (ARN) of the IAM role that you specified for the job.

    • ExportErrorDetails (dict) –

      Details about the errors generated during the ExportVectorEnrichmentJob.

      • Message (string) –

        The message providing details about the errors generated during the Vector Enrichment job.

      • Type (string) –

        The output error details for an Export operation on a Vector Enrichment job.

    • ExportStatus (string) –

      The export status of the Vector Enrichment job being initiated.

    • InputConfig (dict) –

      Input configuration information for the Vector Enrichment job.

      • DataSourceConfig (dict) –

        The input structure for the data source that represents the storage type of the input data objects.

        Note

        This is a Tagged Union structure. Only one of the following top level keys will be set: S3Data. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:

        'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}

        • S3Data (dict) –

          The input structure for the Amazon S3 data that represents the Amazon S3 location of the input data objects.

          • KmsKeyId (string) –

            The Key Management Service key ID for server-side encryption.

          • S3Uri (string) –

            The URL to the Amazon S3 data for the Vector Enrichment job.

      • DocumentType (string) –

        The input structure that defines the data source file type.

    • JobConfig (dict) –

      An object containing information about the job configuration.

      Note

      This is a Tagged Union structure. Only one of the following top level keys will be set: MapMatchingConfig, ReverseGeocodingConfig. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:

      'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}

      • MapMatchingConfig (dict) –

        The input structure for Map Matching operation type.

        • IdAttributeName (string) –

          The field name for the data that describes the identifier representing a collection of GPS points belonging to an individual trace.

        • TimestampAttributeName (string) –

          The name of the timestamp attribute.

        • XAttributeName (string) –

          The name of the X-attribute

        • YAttributeName (string) –

          The name of the Y-attribute

      • ReverseGeocodingConfig (dict) –

        The input structure for Reverse Geocoding operation type.

        • XAttributeName (string) –

          The field name for the data that describes x-axis coordinate, eg. longitude of a point.

        • YAttributeName (string) –

          The field name for the data that describes y-axis coordinate, eg. latitude of a point.

    • KmsKeyId (string) –

      The Key Management Service key ID for server-side encryption.

    • Name (string) –

      The name of the Vector Enrichment job.

    • Status (string) –

      The status of the initiated Vector Enrichment job.

    • Tags (dict) –

      Each tag consists of a key and a value.

      • (string) –

        • (string) –

    • Type (string) –

      The type of the Vector Enrichment job being initiated.

Exceptions