mirror of
https://github.com/langgenius/dify.git
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207 lines
7.8 KiB
Python
207 lines
7.8 KiB
Python
import json
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import logging
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from collections.abc import Generator
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from typing import Union
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from flask import Response, stream_with_context
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from flask_restful import fields, marshal_with, reqparse
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from flask_restful.inputs import int_range
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from werkzeug.exceptions import InternalServerError, NotFound
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import services
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from controllers.web import api
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from controllers.web.error import (
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AppMoreLikeThisDisabledError,
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AppSuggestedQuestionsAfterAnswerDisabledError,
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CompletionRequestError,
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NotChatAppError,
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NotCompletionAppError,
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ProviderModelCurrentlyNotSupportError,
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ProviderNotInitializeError,
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ProviderQuotaExceededError,
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)
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from controllers.web.wraps import WebApiResource
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from core.entities.application_entities import InvokeFrom
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from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
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from core.model_runtime.errors.invoke import InvokeError
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from fields.conversation_fields import message_file_fields
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from fields.message_fields import agent_thought_fields
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from libs.helper import TimestampField, uuid_value
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from services.completion_service import CompletionService
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from services.errors.app import MoreLikeThisDisabledError
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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 MessageListApi(WebApiResource):
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feedback_fields = {
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'rating': fields.String
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}
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retriever_resource_fields = {
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'id': fields.String,
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'message_id': fields.String,
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'position': fields.Integer,
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'dataset_id': fields.String,
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'dataset_name': fields.String,
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'document_id': fields.String,
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'document_name': fields.String,
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'data_source_type': fields.String,
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'segment_id': fields.String,
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'score': fields.Float,
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'hit_count': fields.Integer,
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'word_count': fields.Integer,
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'segment_position': fields.Integer,
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'index_node_hash': fields.String,
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'content': 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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'message_files': fields.List(fields.Nested(message_file_fields), attribute='files'),
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'feedback': fields.Nested(feedback_fields, attribute='user_feedback', allow_null=True),
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'retriever_resources': fields.List(fields.Nested(retriever_resource_fields)),
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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, app_model, end_user):
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if app_model.mode != 'chat':
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raise NotChatAppError()
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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, end_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 MessageFeedbackApi(WebApiResource):
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def post(self, app_model, end_user, message_id):
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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, end_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 MessageMoreLikeThisApi(WebApiResource):
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def get(self, app_model, end_user, message_id):
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if app_model.mode != 'completion':
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raise NotCompletionAppError()
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message_id = str(message_id)
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parser = reqparse.RequestParser()
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parser.add_argument('response_mode', type=str, required=True, choices=['blocking', 'streaming'], location='args')
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args = parser.parse_args()
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streaming = args['response_mode'] == 'streaming'
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try:
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response = CompletionService.generate_more_like_this(
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app_model=app_model,
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user=end_user,
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message_id=message_id,
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invoke_from=InvokeFrom.WEB_APP,
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streaming=streaming
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)
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return compact_response(response)
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except MessageNotExistsError:
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raise NotFound("Message Not Exists.")
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except MoreLikeThisDisabledError:
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raise AppMoreLikeThisDisabledError()
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except ProviderTokenNotInitError as ex:
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raise ProviderNotInitializeError(ex.description)
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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 InvokeError as e:
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raise CompletionRequestError(e.description)
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except ValueError as e:
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raise 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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def compact_response(response: Union[dict, Generator]) -> Response:
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if isinstance(response, dict):
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return Response(response=json.dumps(response), status=200, mimetype='application/json')
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else:
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def generate() -> Generator:
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yield from response
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return Response(stream_with_context(generate()), status=200,
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mimetype='text/event-stream')
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class MessageSuggestedQuestionApi(WebApiResource):
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def get(self, app_model, end_user, message_id):
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if app_model.mode != 'chat':
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raise NotCompletionAppError()
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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=end_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 as ex:
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raise ProviderNotInitializeError(ex.description)
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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 InvokeError as e:
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raise CompletionRequestError(e.description)
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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(MessageListApi, '/messages')
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api.add_resource(MessageFeedbackApi, '/messages/<uuid:message_id>/feedbacks')
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api.add_resource(MessageMoreLikeThisApi, '/messages/<uuid:message_id>/more-like-this')
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api.add_resource(MessageSuggestedQuestionApi, '/messages/<uuid:message_id>/suggested-questions')
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