| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212 | # -*- coding:utf-8 -*-import jsonimport loggingfrom typing import Generator, Unionfrom flask import stream_with_context, Responsefrom flask_restful import reqparse, fields, marshal_withfrom flask_restful.inputs import int_rangefrom werkzeug.exceptions import NotFound, InternalServerErrorimport servicesfrom controllers.web import apifrom controllers.web.error import NotChatAppError, CompletionRequestError, ProviderNotInitializeError, \    AppMoreLikeThisDisabledError, NotCompletionAppError, AppSuggestedQuestionsAfterAnswerDisabledError, \    ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportErrorfrom controllers.web.wraps import WebApiResourcefrom core.model_providers.error import LLMRateLimitError, LLMBadRequestError, LLMAuthorizationError, LLMAPIConnectionError, \    ProviderTokenNotInitError, LLMAPIUnavailableError, QuotaExceededError, ModelCurrentlyNotSupportErrorfrom libs.helper import uuid_value, TimestampFieldfrom services.completion_service import CompletionServicefrom services.errors.app import MoreLikeThisDisabledErrorfrom services.errors.conversation import ConversationNotExistsErrorfrom services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledErrorfrom services.message_service import MessageServicefrom fields.conversation_fields import message_file_fieldsclass MessageListApi(WebApiResource):    feedback_fields = {        'rating': fields.String    }    retriever_resource_fields = {        'id': fields.String,        'message_id': fields.String,        'position': fields.Integer,        'dataset_id': fields.String,        'dataset_name': fields.String,        'document_id': fields.String,        'document_name': fields.String,        'data_source_type': fields.String,        'segment_id': fields.String,        'score': fields.Float,        'hit_count': fields.Integer,        'word_count': fields.Integer,        'segment_position': fields.Integer,        'index_node_hash': fields.String,        'content': fields.String,        'created_at': TimestampField    }    message_fields = {        'id': fields.String,        'conversation_id': fields.String,        'inputs': fields.Raw,        'query': fields.String,        'answer': fields.String,        'message_files': fields.List(fields.Nested(message_file_fields), attribute='files'),        'feedback': fields.Nested(feedback_fields, attribute='user_feedback', allow_null=True),        'retriever_resources': fields.List(fields.Nested(retriever_resource_fields)),        '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, 'web_app')            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/<uuid:message_id>/feedbacks')api.add_resource(MessageMoreLikeThisApi, '/messages/<uuid:message_id>/more-like-this')api.add_resource(MessageSuggestedQuestionApi, '/messages/<uuid:message_id>/suggested-questions')
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