update_data_source async ¶

async def update_data_source(
    self,
    knowledge_base_id: "capo_bedrock_agent.types.id.Id",
    data_source_id: "capo_bedrock_agent.types.id.Id",
    name: "capo_bedrock_agent.types.name.Name",
    data_source_configuration: "capo_bedrock_agent.types.data_source_configuration.DataSourceConfiguration",
    *,
    config_overrides: Optional[AsyncBedrockAgentClientConfig] = None,
    description: Optional[
        "capo_bedrock_agent.types.description.Description"
    ] = None,
    data_deletion_policy: Optional[
        "capo_bedrock_agent.types.data_deletion_policy.DataDeletionPolicy"
    ] = None,
    server_side_encryption_configuration: Optional[
        "capo_bedrock_agent.types.server_side_encryption_configuration.ServerSideEncryptionConfiguration"
    ] = None,
    vector_ingestion_configuration: Optional[
        "capo_bedrock_agent.types.vector_ingestion_configuration.VectorIngestionConfiguration"
    ] = None,
) -> (
    "capo_bedrock_agent.types.update_data_source_response.UpdateDataSourceResponse"
):
    """<p>Updates the configurations for a data source connector.</p> <important> <p>You can't change the <code>chunkingConfiguration</code> after you create the data source connector. Specify the existing <code>chunkingConfiguration</code>.</p> </important>

    Args:
        knowledge_base_id: <p>The unique identifier of the knowledge base for the data source.</p>
        data_source_id: <p>The unique identifier of the data source.</p>
        name: <p>Specifies a new name for the data source.</p>
        description: <p>Specifies a new description for the data source.</p>
        data_source_configuration: <p>The connection configuration for the data source that you want to update.</p>
        data_deletion_policy: <p>The data deletion policy for the data source that you want to update.</p>
        server_side_encryption_configuration: <p>Contains details about server-side encryption of the data source.</p>
        vector_ingestion_configuration: <p>Contains details about how to ingest the documents in the data source.</p>

    Raises:
        capo_bedrock_agent.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
        capo_bedrock_agent.errors.conflict_exception.ConflictException: <p>There was a conflict performing an operation.</p>
        capo_bedrock_agent.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock_agent.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
        capo_bedrock_agent.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock_agent.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock_agent.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bedrock_agent.types.update_data_source_request.UpdateDataSourceRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock_agent.types.update_data_source_response.UpdateDataSourceResponse"
    ]:
        import capo_bedrock_agent._operations.amazon_bedrock_agent_build_time_lambda.update_data_source

        (
            output,
            http_response,
        ) = await capo_bedrock_agent._operations.amazon_bedrock_agent_build_time_lambda.update_data_source.async_update_data_source(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_bedrock_agent.types.update_data_source_request.UpdateDataSourceRequest",
    ) -> dict[str, Any]:
        import capo_bedrock_agent.types.update_data_source_request

        return capo_bedrock_agent.types.update_data_source_request.redact_sensitive(
            input_
        )

    def _redact_output(
        output: "capo_bedrock_agent.types.update_data_source_response.UpdateDataSourceResponse",
    ) -> dict[str, Any]:
        import capo_bedrock_agent.types.update_data_source_response

        return (
            capo_bedrock_agent.types.update_data_source_response.redact_sensitive(
                output
            )
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "UpdateDataSource",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_bedrock_agent.types.update_data_source_request.UpdateDataSourceRequest = {
        "knowledge_base_id": knowledge_base_id,
        "data_source_id": data_source_id,
        "name": name,
        "data_source_configuration": data_source_configuration,
    }
    if description is not None:
        input_["description"] = description
    if data_deletion_policy is not None:
        input_["data_deletion_policy"] = data_deletion_policy
    if server_side_encryption_configuration is not None:
        input_["server_side_encryption_configuration"] = (
            server_side_encryption_configuration
        )
    if vector_ingestion_configuration is not None:
        input_["vector_ingestion_configuration"] = vector_ingestion_configuration

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output