# -*- coding:utf-8 -*- import json import logging from typing import Generator, Union from flask import stream_with_context, Response from flask_restful import reqparse, fields, marshal_with from flask_restful.inputs import int_range from werkzeug.exceptions import NotFound, InternalServerError import services from controllers.web import api from controllers.web.error import NotChatAppError, CompletionRequestError, ProviderNotInitializeError, \ AppMoreLikeThisDisabledError, NotCompletionAppError, AppSuggestedQuestionsAfterAnswerDisabledError, \ ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError from controllers.web.wraps import WebApiResource from core.llm.error import LLMRateLimitError, LLMBadRequestError, LLMAuthorizationError, LLMAPIConnectionError, \ ProviderTokenNotInitError, LLMAPIUnavailableError, QuotaExceededError, ModelCurrentlyNotSupportError from libs.helper import uuid_value, TimestampField from services.completion_service import CompletionService from services.errors.app import MoreLikeThisDisabledError from services.errors.conversation import ConversationNotExistsError from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError from services.message_service import MessageService class MessageListApi(WebApiResource): feedback_fields = { 'rating': fields.String } message_fields = { 'id': fields.String, 'conversation_id': fields.String, 'inputs': fields.Raw, 'query': fields.String, 'answer': fields.String, 'feedback': fields.Nested(feedback_fields, attribute='user_feedback', allow_null=True), 'created_at': TimestampField } message_infinite_scroll_pagination_fields = { 'limit': fields.Integer, 'has_more': fields.Boolean, 'data': fields.List(fields.Nested(message_fields)) } @marshal_with(message_infinite_scroll_pagination_fields) def get(self, app_model, end_user): if app_model.mode != 'chat': raise NotChatAppError() parser = reqparse.RequestParser() parser.add_argument('conversation_id', required=True, type=uuid_value, location='args') parser.add_argument('first_id', type=uuid_value, location='args') parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args') args = parser.parse_args() try: return MessageService.pagination_by_first_id(app_model, end_user, args['conversation_id'], args['first_id'], args['limit']) except services.errors.conversation.ConversationNotExistsError: raise NotFound("Conversation Not Exists.") except services.errors.message.FirstMessageNotExistsError: raise NotFound("First Message Not Exists.") class MessageFeedbackApi(WebApiResource): def post(self, app_model, end_user, message_id): message_id = str(message_id) parser = reqparse.RequestParser() parser.add_argument('rating', type=str, choices=['like', 'dislike', None], location='json') args = parser.parse_args() try: MessageService.create_feedback(app_model, message_id, end_user, args['rating']) except services.errors.message.MessageNotExistsError: raise NotFound("Message Not Exists.") return {'result': 'success'} class MessageMoreLikeThisApi(WebApiResource): def get(self, app_model, end_user, message_id): if app_model.mode != 'completion': raise NotCompletionAppError() message_id = str(message_id) parser = reqparse.RequestParser() parser.add_argument('response_mode', type=str, required=True, choices=['blocking', 'streaming'], location='args') args = parser.parse_args() streaming = args['response_mode'] == 'streaming' try: response = CompletionService.generate_more_like_this(app_model, end_user, message_id, streaming) return compact_response(response) except MessageNotExistsError: raise NotFound("Message Not Exists.") except MoreLikeThisDisabledError: raise AppMoreLikeThisDisabledError() except ProviderTokenNotInitError as ex: raise ProviderNotInitializeError(ex.description) except QuotaExceededError: raise ProviderQuotaExceededError() except ModelCurrentlyNotSupportError: raise ProviderModelCurrentlyNotSupportError() except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError, LLMRateLimitError, LLMAuthorizationError) as e: raise CompletionRequestError(str(e)) except ValueError as e: raise e except Exception: logging.exception("internal server error.") raise InternalServerError() def compact_response(response: Union[dict | Generator]) -> Response: if isinstance(response, dict): return Response(response=json.dumps(response), status=200, mimetype='application/json') else: def generate() -> Generator: try: for chunk in response: yield chunk except MessageNotExistsError: yield "data: " + json.dumps(api.handle_error(NotFound("Message Not Exists.")).get_json()) + "\n\n" except MoreLikeThisDisabledError: yield "data: " + json.dumps(api.handle_error(AppMoreLikeThisDisabledError()).get_json()) + "\n\n" except ProviderTokenNotInitError as ex: yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n" except QuotaExceededError: yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n" except ModelCurrentlyNotSupportError: yield "data: " + json.dumps(api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n" except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError, LLMRateLimitError, LLMAuthorizationError) as e: yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n" except ValueError as e: yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n" except Exception: logging.exception("internal server error.") yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n" return Response(stream_with_context(generate()), status=200, mimetype='text/event-stream') class MessageSuggestedQuestionApi(WebApiResource): def get(self, app_model, end_user, message_id): if app_model.mode != 'chat': raise NotCompletionAppError() message_id = str(message_id) try: questions = MessageService.get_suggested_questions_after_answer( app_model=app_model, user=end_user, message_id=message_id ) except MessageNotExistsError: raise NotFound("Message not found") except ConversationNotExistsError: raise NotFound("Conversation not found") except SuggestedQuestionsAfterAnswerDisabledError: raise AppSuggestedQuestionsAfterAnswerDisabledError() except ProviderTokenNotInitError as ex: raise ProviderNotInitializeError(ex.description) except QuotaExceededError: raise ProviderQuotaExceededError() except ModelCurrentlyNotSupportError: raise ProviderModelCurrentlyNotSupportError() except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError, LLMRateLimitError, LLMAuthorizationError) as e: raise CompletionRequestError(str(e)) except Exception: logging.exception("internal server error.") raise InternalServerError() return {'data': questions} api.add_resource(MessageListApi, '/messages') api.add_resource(MessageFeedbackApi, '/messages//feedbacks') api.add_resource(MessageMoreLikeThisApi, '/messages//more-like-this') api.add_resource(MessageSuggestedQuestionApi, '/messages//suggested-questions')