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128 lines
5.2 KiB
Python
128 lines
5.2 KiB
Python
# -*- coding:utf-8 -*-
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import logging
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from flask_login import current_user
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from flask_restful import reqparse, fields, marshal_with
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from flask_restful.inputs import int_range
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from werkzeug.exceptions import NotFound, InternalServerError
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import services
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from controllers.console import api
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from controllers.console.app.error import ProviderNotInitializeError, \
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ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError
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from controllers.console.explore.error import AppSuggestedQuestionsAfterAnswerDisabledError
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from controllers.console.universal_chat.wraps import UniversalChatResource
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from core.llm.error import LLMRateLimitError, LLMBadRequestError, LLMAuthorizationError, LLMAPIConnectionError, \
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ProviderTokenNotInitError, LLMAPIUnavailableError, QuotaExceededError, ModelCurrentlyNotSupportError
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from libs.helper import uuid_value, TimestampField
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from services.errors.conversation import ConversationNotExistsError
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from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
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from services.message_service import MessageService
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class UniversalChatMessageListApi(UniversalChatResource):
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feedback_fields = {
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'rating': fields.String
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}
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agent_thought_fields = {
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'id': fields.String,
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'chain_id': fields.String,
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'message_id': fields.String,
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'position': fields.Integer,
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'thought': fields.String,
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'tool': fields.String,
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'tool_input': fields.String,
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'created_at': TimestampField
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}
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message_fields = {
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'id': fields.String,
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'conversation_id': fields.String,
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'inputs': fields.Raw,
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'query': fields.String,
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'answer': fields.String,
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'feedback': fields.Nested(feedback_fields, attribute='user_feedback', allow_null=True),
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'created_at': TimestampField,
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'agent_thoughts': fields.List(fields.Nested(agent_thought_fields))
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}
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message_infinite_scroll_pagination_fields = {
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'limit': fields.Integer,
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'has_more': fields.Boolean,
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'data': fields.List(fields.Nested(message_fields))
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}
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@marshal_with(message_infinite_scroll_pagination_fields)
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def get(self, universal_app):
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app_model = universal_app
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parser = reqparse.RequestParser()
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parser.add_argument('conversation_id', required=True, type=uuid_value, location='args')
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parser.add_argument('first_id', type=uuid_value, location='args')
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parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args')
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args = parser.parse_args()
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try:
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return MessageService.pagination_by_first_id(app_model, current_user,
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args['conversation_id'], args['first_id'], args['limit'])
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except services.errors.conversation.ConversationNotExistsError:
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raise NotFound("Conversation Not Exists.")
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except services.errors.message.FirstMessageNotExistsError:
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raise NotFound("First Message Not Exists.")
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class UniversalChatMessageFeedbackApi(UniversalChatResource):
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def post(self, universal_app, message_id):
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app_model = universal_app
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message_id = str(message_id)
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parser = reqparse.RequestParser()
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parser.add_argument('rating', type=str, choices=['like', 'dislike', None], location='json')
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args = parser.parse_args()
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try:
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MessageService.create_feedback(app_model, message_id, current_user, args['rating'])
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except services.errors.message.MessageNotExistsError:
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raise NotFound("Message Not Exists.")
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return {'result': 'success'}
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class UniversalChatMessageSuggestedQuestionApi(UniversalChatResource):
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def get(self, universal_app, message_id):
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app_model = universal_app
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message_id = str(message_id)
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try:
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questions = MessageService.get_suggested_questions_after_answer(
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app_model=app_model,
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user=current_user,
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message_id=message_id
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)
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except MessageNotExistsError:
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raise NotFound("Message not found")
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except ConversationNotExistsError:
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raise NotFound("Conversation not found")
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except SuggestedQuestionsAfterAnswerDisabledError:
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raise AppSuggestedQuestionsAfterAnswerDisabledError()
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except ProviderTokenNotInitError:
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raise ProviderNotInitializeError()
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except QuotaExceededError:
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raise ProviderQuotaExceededError()
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except ModelCurrentlyNotSupportError:
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raise ProviderModelCurrentlyNotSupportError()
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except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
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LLMRateLimitError, LLMAuthorizationError) as e:
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raise CompletionRequestError(str(e))
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except Exception:
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logging.exception("internal server error.")
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raise InternalServerError()
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return {'data': questions}
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api.add_resource(UniversalChatMessageListApi, '/universal-chat/messages')
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api.add_resource(UniversalChatMessageFeedbackApi, '/universal-chat/messages/<uuid:message_id>/feedbacks')
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api.add_resource(UniversalChatMessageSuggestedQuestionApi, '/universal-chat/messages/<uuid:message_id>/suggested-questions')
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