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describe_thesaurus

describe_thesaurus(
    id: ThesaurusId,
    index_id: IndexId,
    *,
    config_overrides: Optional[kendraClientConfig] = None,
) -> DescribeThesaurusResponse

Gets information about an Amazon Kendra thesaurus.

Parameters:

  • id (ThesaurusId) –

    The identifier of the thesaurus you want to get information on.

  • index_id (IndexId) –

    The identifier of the index for the thesaurus.

Raises:

  • AccessDeniedException –

    You don't have sufficient access to perform this action. Please ensure you have the required permission policies and user accounts and try again.

  • InternalServerException –

    An issue occurred with the internal server used for your Amazon Kendra service. Please wait a few minutes and try again, or contact Support for help.

  • ResourceNotFoundException –

    The resource you want to use doesn’t exist. Please check you have provided the correct resource and try again.

  • ThrottlingException –

    The request was denied due to request throttling. Please reduce the number of requests and try again.

  • ValidationException –

    The input fails to satisfy the constraints set by the Amazon Kendra service. Please provide the correct input and try again.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_kendra/_services/kendra.py
def describe_thesaurus(
    self,
    id: "capo_kendra.types.thesaurus_id.ThesaurusId",
    index_id: "capo_kendra.types.index_id.IndexId",
    *,
    config_overrides: Optional[kendraClientConfig] = None,
) -> "capo_kendra.types.describe_thesaurus_response.DescribeThesaurusResponse":
    """<p>Gets information about an Amazon Kendra thesaurus.</p>

    Args:
        id: <p>The identifier of the thesaurus you want to get information on.</p>
        index_id: <p>The identifier of the index for the thesaurus.</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.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.describe_thesaurus_request.DescribeThesaurusRequest]",
    ) -> OperationResponse[
        "capo_kendra.types.describe_thesaurus_response.DescribeThesaurusResponse"
    ]:
        import capo_kendra._operations.aws_kendra_frontend_service.describe_thesaurus

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeThesaurus")
    )
    input_: capo_kendra.types.describe_thesaurus_request.DescribeThesaurusRequest = {
        "id": id,
        "index_id": index_id,
    }

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