add_dataset_examples ¶

def add_dataset_examples(
    self,
    dataset_id: "capo_bedrock_agentcore_control.types.dataset_id.DatasetId",
    source: "capo_bedrock_agentcore_control.types.data_source_type.DataSourceType",
    *,
    config_overrides: Optional[BedrockAgentCoreControlClientConfig] = None,
    client_token: Optional[
        "capo_bedrock_agentcore_control.types.client_token.ClientToken"
    ] = None,
) -> "capo_bedrock_agentcore_control.types.add_dataset_examples_response.AddDatasetExamplesResponse":
    """<p> Adds examples to the dataset's DRAFT. All examples are validated against the dataset's schema type before any writes occur. If any example fails validation, the entire batch is rejected (all-or-nothing semantics). </p>

    Args:
        dataset_id: <p> The unique identifier of the dataset to add examples to. </p>
        client_token: <p>A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If you don't specify this field, a value is randomly generated for you. If this token matches a previous request, the service ignores the request, but doesn't return an error. For more information, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html">Ensuring idempotency</a>.</p>
        source: <p> Source of examples to add. Provide either inline examples or an S3 URI pointing to a JSONL file. </p>

    Raises:
        capo_bedrock_agentcore_control.errors.access_denied_exception.AccessDeniedException: <p>This exception is thrown when a request is denied per access permissions</p>
        capo_bedrock_agentcore_control.errors.conflict_exception.ConflictException: <p>This exception is thrown when there is a conflict performing an operation</p>
        capo_bedrock_agentcore_control.errors.internal_server_exception.InternalServerException: <p>This exception is thrown if there was an unexpected error during processing of request</p>
        capo_bedrock_agentcore_control.errors.resource_not_found_exception.ResourceNotFoundException: <p>This exception is thrown when a resource referenced by the operation does not exist</p>
        capo_bedrock_agentcore_control.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>This exception is thrown when a request is made beyond the service quota</p>
        capo_bedrock_agentcore_control.errors.throttling_exception.ThrottlingException: <p>This exception is thrown when the number of requests exceeds the limit</p>
        capo_bedrock_agentcore_control.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the service.</p>
        capo_bedrock_agentcore_control.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock_agentcore_control.types.add_dataset_examples_request.AddDatasetExamplesRequest]",
    ) -> OperationResponse[
        "capo_bedrock_agentcore_control.types.add_dataset_examples_response.AddDatasetExamplesResponse"
    ]:
        import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.add_dataset_examples

        output, http_response = (
            capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.add_dataset_examples.add_dataset_examples(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_bedrock_agentcore_control.types.add_dataset_examples_request.AddDatasetExamplesRequest",
    ) -> dict[str, Any]:
        import capo_bedrock_agentcore_control.types.add_dataset_examples_request

        return capo_bedrock_agentcore_control.types.add_dataset_examples_request.redact_sensitive(
            input_
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("AddDatasetExamples", redact_input=_redact_input),
    )
    input_: capo_bedrock_agentcore_control.types.add_dataset_examples_request.AddDatasetExamplesRequest = {
        "dataset_id": dataset_id,
        "source": source,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

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