describe_replication_task_assessment_results ¶

def describe_replication_task_assessment_results(
    self,
    *,
    config_overrides: Optional[DatabaseMigrationServiceClientConfig] = None,
    replication_task_arn: Optional[
        "capo_database_migration_service.types.string.String"
    ] = None,
    max_records: Optional[
        "capo_database_migration_service.types.integer_optional.IntegerOptional"
    ] = None,
    marker: Optional["capo_database_migration_service.types.string.String"] = None,
) -> "capo_database_migration_service.types.describe_replication_task_assessment_results_response.DescribeReplicationTaskAssessmentResultsResponse":
    """<p>Returns the task assessment results from the Amazon S3 bucket that DMS creates in your Amazon Web Services account. This action always returns the latest results.</p> <p>For more information about DMS task assessments, see <a href="https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Tasks.AssessmentReport.html">Creating a task assessment report</a> in the <i>Database Migration Service User Guide</i>.</p>

    Args:
        replication_task_arn: <p>The Amazon Resource Name (ARN) string that uniquely identifies the task. When this input parameter is specified, the API returns only one result and ignore the values of the <code>MaxRecords</code> and <code>Marker</code> parameters. </p>
        max_records: <p> The maximum number of records to include in the response. If more records exist than the specified <code>MaxRecords</code> value, a pagination token called a marker is included in the response so that the remaining results can be retrieved. </p> <p>Default: 100</p> <p>Constraints: Minimum 20, maximum 100.</p>
        marker: <p> An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by <code>MaxRecords</code>. </p>

    Raises:
        capo_database_migration_service.errors.resource_not_found_fault.ResourceNotFoundFault: <p>The resource could not be found.</p>
        capo_database_migration_service.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_database_migration_service.types.describe_replication_task_assessment_results_message.DescribeReplicationTaskAssessmentResultsMessage]",
    ) -> OperationResponse[
        "capo_database_migration_service.types.describe_replication_task_assessment_results_response.DescribeReplicationTaskAssessmentResultsResponse"
    ]:
        import capo_database_migration_service._operations.amazon_dm_sv20160101.describe_replication_task_assessment_results

        output, http_response = (
            capo_database_migration_service._operations.amazon_dm_sv20160101.describe_replication_task_assessment_results.describe_replication_task_assessment_results(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_database_migration_service.types.describe_replication_task_assessment_results_response.DescribeReplicationTaskAssessmentResultsResponse",
    ) -> dict[str, Any]:
        import capo_database_migration_service.types.describe_replication_task_assessment_results_response

        return capo_database_migration_service.types.describe_replication_task_assessment_results_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "DescribeReplicationTaskAssessmentResults", redact_output=_redact_output
        ),
    )
    input_: capo_database_migration_service.types.describe_replication_task_assessment_results_message.DescribeReplicationTaskAssessmentResultsMessage = {}
    if replication_task_arn is not None:
        input_["replication_task_arn"] = replication_task_arn
    if max_records is not None:
        input_["max_records"] = max_records
    if marker is not None:
        input_["marker"] = marker

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output