update_profile_with_agent ¶

def update_profile_with_agent(
    self,
    profile_id: "capo_healthlake.types.profile_id_string.ProfileIdString",
    source_format: "capo_healthlake.types.source_format.SourceFormat",
    input_message: "capo_healthlake.types.agent_input_message.AgentInputMessage",
    *,
    config_overrides: Optional[HealthLakeClientConfig] = None,
    conversation_id: Optional[
        "capo_healthlake.types.conversation_id_string.ConversationIdString"
    ] = None,
) -> "capo_healthlake.types.update_profile_with_agent_response.UpdateProfileWithAgentResponse":
    """<p>Updates a data transformation profile using chat-based interaction with an agent. Supports multi-turn conversations for iteratively customizing profiles.</p>

    Args:
        profile_id: <p>The unique identifier of the profile to update via the agent.</p>
        source_format: <p>The source data format for the transformation.</p>
        input_message: <p>The message to send to the agent.</p>
        conversation_id: <p>The conversation identifier for multi-turn interactions. Omit to start a new conversation.</p>

    Raises:
        capo_healthlake.errors.access_denied_exception.AccessDeniedException: <p>Access is denied. Your account is not authorized to perform this operation.</p>
        capo_healthlake.errors.agent_message_out_of_context_exception.AgentMessageOutOfContextException: <p>The agent message does not fit within the current conversation context. Start a new conversation or provide a message that relates to the current profile customization session.</p>
        capo_healthlake.errors.conversation_not_found_exception.ConversationNotFoundException: <p>The specified conversation identifier does not exist. Verify the conversation ID or omit it to start a new conversation.</p>
        capo_healthlake.errors.internal_server_exception.InternalServerException: <p>An unknown internal error occurred in the service.</p>
        capo_healthlake.errors.not_implemented_operation_exception.NotImplementedOperationException: <p>The requested operation is not yet available. Check the service documentation for a list of supported operations.</p>
        capo_healthlake.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested data store was not found.</p>
        capo_healthlake.errors.throttling_exception.ThrottlingException: <p>The user has exceeded their maximum number of allowed calls to the given API. </p>
        capo_healthlake.errors.unauthorized_exception.UnauthorizedException: <p>You are not authorized to make this request. Verify that your Amazon Web Services credentials are valid and that you have the required permissions.</p>
        capo_healthlake.errors.unsupported_mime_type_exception.UnsupportedMIMETypeException: <p>The content type in your request is not supported. Use a supported content type for this operation.</p>
        capo_healthlake.errors.validation_exception.ValidationException: <p>The user input parameter was invalid.</p>
        capo_healthlake.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_healthlake.types.update_profile_with_agent_request.UpdateProfileWithAgentRequest]",
    ) -> OperationResponse[
        "capo_healthlake.types.update_profile_with_agent_response.UpdateProfileWithAgentResponse"
    ]:
        import capo_healthlake._operations.health_lake.update_profile_with_agent

        output, http_response = (
            capo_healthlake._operations.health_lake.update_profile_with_agent.update_profile_with_agent(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_healthlake.types.update_profile_with_agent_request.UpdateProfileWithAgentRequest",
    ) -> dict[str, Any]:
        import capo_healthlake.types.update_profile_with_agent_request

        return capo_healthlake.types.update_profile_with_agent_request.redact_sensitive(
            input_
        )

    def _redact_output(
        output: "capo_healthlake.types.update_profile_with_agent_response.UpdateProfileWithAgentResponse",
    ) -> dict[str, Any]:
        import capo_healthlake.types.update_profile_with_agent_response

        return capo_healthlake.types.update_profile_with_agent_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "UpdateProfileWithAgent",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_healthlake.types.update_profile_with_agent_request.UpdateProfileWithAgentRequest = {
        "profile_id": profile_id,
        "source_format": source_format,
        "input_message": input_message,
    }
    if conversation_id is not None:
        input_["conversation_id"] = conversation_id

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