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143 lines
6.5 KiB
Python
143 lines
6.5 KiB
Python
import json
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import logging
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from typing import Generator, Union
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from flask import Response, stream_with_context
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from flask_login import current_user
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from flask_restful import reqparse
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from werkzeug.exceptions import InternalServerError, NotFound
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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 ConversationCompletedError, AppUnavailableError, ProviderNotInitializeError, \
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ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError
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from controllers.console.universal_chat.wraps import UniversalChatResource
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from core.conversation_message_task import PubHandler
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from core.model_providers.error import ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError, \
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LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError, LLMRateLimitError, LLMAuthorizationError
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from libs.helper import uuid_value
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from services.completion_service import CompletionService
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class UniversalChatApi(UniversalChatResource):
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def post(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('query', type=str, required=True, location='json')
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parser.add_argument('files', type=list, required=False, location='json')
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parser.add_argument('conversation_id', type=uuid_value, location='json')
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parser.add_argument('provider', type=str, required=True, location='json')
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parser.add_argument('model', type=str, required=True, location='json')
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parser.add_argument('tools', type=list, required=True, location='json')
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parser.add_argument('retriever_from', type=str, required=False, default='universal_app', location='json')
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args = parser.parse_args()
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app_model_config = app_model.app_model_config
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# update app model config
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args['model_config'] = app_model_config.to_dict()
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args['model_config']['model']['name'] = args['model']
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args['model_config']['model']['provider'] = args['provider']
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args['model_config']['agent_mode']['tools'] = args['tools']
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if not args['model_config']['agent_mode']['tools']:
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args['model_config']['agent_mode']['tools'] = [
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{
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"current_datetime": {
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"enabled": True
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}
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}
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]
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else:
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args['model_config']['agent_mode']['tools'].append({
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"current_datetime": {
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"enabled": True
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}
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})
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args['inputs'] = {}
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del args['model']
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del args['tools']
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args['auto_generate_name'] = False
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try:
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response = CompletionService.completion(
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app_model=app_model,
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user=current_user,
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args=args,
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from_source='console',
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streaming=True,
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is_model_config_override=True,
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)
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return compact_response(response)
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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.conversation.ConversationCompletedError:
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raise ConversationCompletedError()
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except services.errors.app_model_config.AppModelConfigBrokenError:
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logging.exception("App model config broken.")
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raise AppUnavailableError()
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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 ValueError as e:
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raise e
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except Exception as e:
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logging.exception("internal server error.")
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raise InternalServerError()
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class UniversalChatStopApi(UniversalChatResource):
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def post(self, universal_app, task_id):
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PubHandler.stop(current_user, task_id)
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return {'result': 'success'}, 200
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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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try:
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for chunk in response:
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yield chunk
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except services.errors.conversation.ConversationNotExistsError:
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yield "data: " + json.dumps(api.handle_error(NotFound("Conversation Not Exists.")).get_json()) + "\n\n"
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except services.errors.conversation.ConversationCompletedError:
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yield "data: " + json.dumps(api.handle_error(ConversationCompletedError()).get_json()) + "\n\n"
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except services.errors.app_model_config.AppModelConfigBrokenError:
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logging.exception("App model config broken.")
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yield "data: " + json.dumps(api.handle_error(AppUnavailableError()).get_json()) + "\n\n"
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except ProviderTokenNotInitError:
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yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
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except QuotaExceededError:
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yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
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except ModelCurrentlyNotSupportError:
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yield "data: " + json.dumps(api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n"
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except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
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LLMRateLimitError, LLMAuthorizationError) as e:
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yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n"
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except ValueError as e:
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yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n"
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except Exception:
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logging.exception("internal server error.")
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yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n"
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return Response(stream_with_context(generate()), status=200,
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mimetype='text/event-stream')
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api.add_resource(UniversalChatApi, '/universal-chat/messages')
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api.add_resource(UniversalChatStopApi, '/universal-chat/messages/<string:task_id>/stop')
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