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183 lines
8.1 KiB
Python
183 lines
8.1 KiB
Python
import json
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import logging
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from typing import Union, Generator
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from flask import stream_with_context, Response
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from flask_restful import reqparse
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from werkzeug.exceptions import NotFound, InternalServerError
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import services
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from controllers.service_api import api
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from controllers.service_api.app import create_or_update_end_user_for_user_id
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from controllers.service_api.app.error import AppUnavailableError, ProviderNotInitializeError, NotChatAppError, \
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ConversationCompletedError, CompletionRequestError, ProviderQuotaExceededError, \
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ProviderModelCurrentlyNotSupportError
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from controllers.service_api.wraps import AppApiResource
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from core.conversation_message_task import PubHandler
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from core.llm.error import LLMBadRequestError, LLMAuthorizationError, LLMAPIUnavailableError, LLMAPIConnectionError, \
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LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
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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 CompletionApi(AppApiResource):
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def post(self, app_model, end_user):
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if app_model.mode != 'completion':
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raise AppUnavailableError()
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parser = reqparse.RequestParser()
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parser.add_argument('inputs', type=dict, required=True, location='json')
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parser.add_argument('query', type=str, location='json')
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parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
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parser.add_argument('user', type=str, location='json')
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args = parser.parse_args()
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streaming = args['response_mode'] == 'streaming'
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if end_user is None and args['user'] is not None:
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end_user = create_or_update_end_user_for_user_id(app_model, args['user'])
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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=end_user,
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args=args,
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from_source='api',
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streaming=streaming
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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 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 (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 CompletionStopApi(AppApiResource):
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def post(self, app_model, end_user, task_id):
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if app_model.mode != 'completion':
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raise AppUnavailableError()
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PubHandler.stop(end_user, task_id)
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return {'result': 'success'}, 200
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class ChatApi(AppApiResource):
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def post(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('inputs', type=dict, required=True, location='json')
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parser.add_argument('query', type=str, required=True, location='json')
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parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
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parser.add_argument('conversation_id', type=uuid_value, location='json')
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parser.add_argument('user', type=str, location='json')
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args = parser.parse_args()
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streaming = args['response_mode'] == 'streaming'
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if end_user is None and args['user'] is not None:
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end_user = create_or_update_end_user_for_user_id(app_model, args['user'])
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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=end_user,
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args=args,
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from_source='api',
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streaming=streaming
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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 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 (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 ChatStopApi(AppApiResource):
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def post(self, app_model, end_user, task_id):
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if app_model.mode != 'chat':
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raise NotChatAppError()
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PubHandler.stop(end_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 as ex:
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yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).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(CompletionApi, '/completion-messages')
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api.add_resource(CompletionStopApi, '/completion-messages/<string:task_id>/stop')
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api.add_resource(ChatApi, '/chat-messages')
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api.add_resource(ChatStopApi, '/chat-messages/<string:task_id>/stop')
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