update_data_source ¶

def update_data_source(
    self,
    id: "capo_kendra.types.data_source_id.DataSourceId",
    index_id: "capo_kendra.types.index_id.IndexId",
    *,
    config_overrides: Optional[kendraClientConfig] = None,
    name: Optional["capo_kendra.types.data_source_name.DataSourceName"] = None,
    configuration: Optional[
        "capo_kendra.types.data_source_configuration.DataSourceConfiguration"
    ] = None,
    vpc_configuration: Optional[
        "capo_kendra.types.data_source_vpc_configuration.DataSourceVpcConfiguration"
    ] = None,
    description: Optional["capo_kendra.types.description.Description"] = None,
    schedule: Optional["capo_kendra.types.scan_schedule.ScanSchedule"] = None,
    role_arn: Optional["capo_kendra.types.role_arn.RoleArn"] = None,
    language_code: Optional["capo_kendra.types.language_code.LanguageCode"] = None,
    custom_document_enrichment_configuration: Optional[
        "capo_kendra.types.custom_document_enrichment_configuration.CustomDocumentEnrichmentConfiguration"
    ] = None,
) -> None:
    """<p>Updates an Amazon Kendra data source connector.</p>

    Args:
        id: <p>The identifier of the data source connector you want to update.</p>
        name: <p>A new name for the data source connector.</p>
        index_id: <p>The identifier of the index used with the data source connector.</p>
        configuration: <p>Configuration information you want to update for the data source connector.</p>
        vpc_configuration: <p>Configuration information for an Amazon Virtual Private Cloud to connect to your data source. For more information, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/vpc-configuration.html">Configuring a VPC</a>.</p>
        description: <p>A new description for the data source connector.</p>
        schedule: <p>The sync schedule you want to update for the data source connector.</p>
        role_arn: <p>The Amazon Resource Name (ARN) of an IAM role with permission to access the data source and required resources. For more information, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html">IAM roles for Amazon Kendra</a>.</p>
        language_code: <p>The code for a language you want to update for the data source connector. This allows you to support a language for all documents when updating the data source. English is supported by default. For more information on supported languages, including their codes, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/in-adding-languages.html">Adding documents in languages other than English</a>.</p>
        custom_document_enrichment_configuration: <p>Configuration information you want to update for altering document metadata and content during the document ingestion process.</p> <p>For more information on how to create, modify and delete document metadata, or make other content alterations when you ingest documents into Amazon Kendra, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/custom-document-enrichment.html">Customizing document metadata during the ingestion process</a>.</p>

    Raises:
        capo_kendra.errors.access_denied_exception.AccessDeniedException: <p>You don't have sufficient access to perform this action. Please ensure you have the required permission policies and user accounts and try again.</p>
        capo_kendra.errors.conflict_exception.ConflictException: <p>A conflict occurred with the request. Please fix any inconsistences with your resources and try again.</p>
        capo_kendra.errors.internal_server_exception.InternalServerException: <p>An issue occurred with the internal server used for your Amazon Kendra service. Please wait a few minutes and try again, or contact <a href="http://aws.amazon.com/contact-us/">Support</a> for help.</p>
        capo_kendra.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource you want to use doesn’t exist. Please check you have provided the correct resource and try again.</p>
        capo_kendra.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling. Please reduce the number of requests and try again.</p>
        capo_kendra.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints set by the Amazon Kendra service. Please provide the correct input and try again.</p>
        capo_kendra.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_kendra.types.update_data_source_request.UpdateDataSourceRequest]",
    ) -> OperationResponse[None]:
        import capo_kendra._operations.aws_kendra_frontend_service.update_data_source

        output, http_response = (
            capo_kendra._operations.aws_kendra_frontend_service.update_data_source.update_data_source(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateDataSource")
    )
    input_: capo_kendra.types.update_data_source_request.UpdateDataSourceRequest = {
        "id": id,
        "index_id": index_id,
    }
    if name is not None:
        input_["name"] = name
    if configuration is not None:
        input_["configuration"] = configuration
    if vpc_configuration is not None:
        input_["vpc_configuration"] = vpc_configuration
    if description is not None:
        input_["description"] = description
    if schedule is not None:
        input_["schedule"] = schedule
    if role_arn is not None:
        input_["role_arn"] = role_arn
    if language_code is not None:
        input_["language_code"] = language_code
    if custom_document_enrichment_configuration is not None:
        input_["custom_document_enrichment_configuration"] = (
            custom_document_enrichment_configuration
        )

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