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synced 2024-12-02 03:07:59 +08:00
fix: generate not stop when pressing stop link (#1961)
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parent
a8cedea15a
commit
0c746f5c5a
@ -1,7 +1,7 @@
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import time
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from typing import cast, Optional, List, Tuple, Generator, Union
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from core.application_queue_manager import ApplicationQueueManager
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from core.application_queue_manager import ApplicationQueueManager, PublishFrom
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from core.entities.application_entities import ModelConfigEntity, PromptTemplateEntity, AppOrchestrationConfigEntity
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from core.file.file_obj import FileObj
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from core.memory.token_buffer_memory import TokenBufferMemory
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@ -183,7 +183,7 @@ class AppRunner:
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index=index,
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message=AssistantPromptMessage(content=token)
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)
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))
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), PublishFrom.APPLICATION_MANAGER)
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index += 1
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time.sleep(0.01)
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@ -193,7 +193,8 @@ class AppRunner:
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prompt_messages=prompt_messages,
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message=AssistantPromptMessage(content=text),
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usage=usage if usage else LLMUsage.empty_usage()
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)
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),
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pub_from=PublishFrom.APPLICATION_MANAGER
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)
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def _handle_invoke_result(self, invoke_result: Union[LLMResult, Generator],
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@ -226,7 +227,8 @@ class AppRunner:
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:return:
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"""
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queue_manager.publish_message_end(
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llm_result=invoke_result
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llm_result=invoke_result,
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pub_from=PublishFrom.APPLICATION_MANAGER
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)
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def _handle_invoke_result_stream(self, invoke_result: Generator,
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@ -242,7 +244,7 @@ class AppRunner:
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text = ''
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usage = None
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for result in invoke_result:
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queue_manager.publish_chunk_message(result)
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queue_manager.publish_chunk_message(result, PublishFrom.APPLICATION_MANAGER)
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text += result.delta.message.content
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@ -263,5 +265,6 @@ class AppRunner:
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)
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queue_manager.publish_message_end(
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llm_result=llm_result
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llm_result=llm_result,
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pub_from=PublishFrom.APPLICATION_MANAGER
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)
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@ -5,7 +5,7 @@ from core.app_runner.app_runner import AppRunner
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from core.callback_handler.index_tool_callback_handler import DatasetIndexToolCallbackHandler
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from core.entities.application_entities import ApplicationGenerateEntity, ModelConfigEntity, \
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AppOrchestrationConfigEntity, InvokeFrom, ExternalDataVariableEntity, DatasetEntity
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from core.application_queue_manager import ApplicationQueueManager
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from core.application_queue_manager import ApplicationQueueManager, PublishFrom
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from core.features.annotation_reply import AnnotationReplyFeature
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from core.features.dataset_retrieval import DatasetRetrievalFeature
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from core.features.external_data_fetch import ExternalDataFetchFeature
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@ -121,7 +121,8 @@ class BasicApplicationRunner(AppRunner):
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if annotation_reply:
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queue_manager.publish_annotation_reply(
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message_annotation_id=annotation_reply.id
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message_annotation_id=annotation_reply.id,
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pub_from=PublishFrom.APPLICATION_MANAGER
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)
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self.direct_output(
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queue_manager=queue_manager,
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@ -7,7 +7,7 @@ from pydantic import BaseModel
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from core.app_runner.moderation_handler import OutputModerationHandler, ModerationRule
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from core.entities.application_entities import ApplicationGenerateEntity
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from core.application_queue_manager import ApplicationQueueManager
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from core.application_queue_manager import ApplicationQueueManager, PublishFrom
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from core.entities.queue_entities import QueueErrorEvent, QueueStopEvent, QueueMessageEndEvent, \
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QueueRetrieverResourcesEvent, QueueAgentThoughtEvent, QueuePingEvent, QueueMessageEvent, QueueMessageReplaceEvent, \
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AnnotationReplyEvent
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@ -312,8 +312,11 @@ class GenerateTaskPipeline:
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index=0,
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message=AssistantPromptMessage(content=self._task_state.llm_result.message.content)
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)
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))
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self._queue_manager.publish(QueueStopEvent(stopped_by=QueueStopEvent.StopBy.OUTPUT_MODERATION))
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), PublishFrom.TASK_PIPELINE)
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self._queue_manager.publish(
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QueueStopEvent(stopped_by=QueueStopEvent.StopBy.OUTPUT_MODERATION),
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PublishFrom.TASK_PIPELINE
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)
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continue
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else:
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self._output_moderation_handler.append_new_token(delta_text)
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@ -6,6 +6,7 @@ from typing import Any, Optional, Dict
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from flask import current_app, Flask
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from pydantic import BaseModel
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from core.application_queue_manager import PublishFrom
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from core.moderation.base import ModerationAction, ModerationOutputsResult
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from core.moderation.factory import ModerationFactory
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@ -66,7 +67,7 @@ class OutputModerationHandler(BaseModel):
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final_output = result.text
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if public_event:
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self.on_message_replace_func(final_output)
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self.on_message_replace_func(final_output, PublishFrom.TASK_PIPELINE)
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return final_output
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@ -23,7 +23,7 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeErr
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from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
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from core.prompt.prompt_template import PromptTemplateParser
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from core.provider_manager import ProviderManager
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from core.application_queue_manager import ApplicationQueueManager, ConversationTaskStoppedException
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from core.application_queue_manager import ApplicationQueueManager, ConversationTaskStoppedException, PublishFrom
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from extensions.ext_database import db
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from models.account import Account
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from models.model import EndUser, Conversation, Message, MessageFile, App
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@ -169,15 +169,18 @@ class ApplicationManager:
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except ConversationTaskStoppedException:
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pass
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except InvokeAuthorizationError:
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queue_manager.publish_error(InvokeAuthorizationError('Incorrect API key provided'))
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queue_manager.publish_error(
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InvokeAuthorizationError('Incorrect API key provided'),
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PublishFrom.APPLICATION_MANAGER
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)
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except ValidationError as e:
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logger.exception("Validation Error when generating")
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queue_manager.publish_error(e)
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queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
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except (ValueError, InvokeError) as e:
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queue_manager.publish_error(e)
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queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
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except Exception as e:
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logger.exception("Unknown Error when generating")
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queue_manager.publish_error(e)
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queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
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finally:
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db.session.remove()
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@ -1,5 +1,6 @@
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import queue
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import time
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from enum import Enum
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from typing import Generator, Any
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from sqlalchemy.orm import DeclarativeMeta
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@ -13,6 +14,11 @@ from extensions.ext_redis import redis_client
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from models.model import MessageAgentThought
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class PublishFrom(Enum):
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APPLICATION_MANAGER = 1
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TASK_PIPELINE = 2
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class ApplicationQueueManager:
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def __init__(self, task_id: str,
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user_id: str,
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@ -61,11 +67,14 @@ class ApplicationQueueManager:
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if elapsed_time >= listen_timeout or self._is_stopped():
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# publish two messages to make sure the client can receive the stop signal
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# and stop listening after the stop signal processed
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self.publish(QueueStopEvent(stopped_by=QueueStopEvent.StopBy.USER_MANUAL))
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self.publish(
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QueueStopEvent(stopped_by=QueueStopEvent.StopBy.USER_MANUAL),
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PublishFrom.TASK_PIPELINE
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)
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self.stop_listen()
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if elapsed_time // 10 > last_ping_time:
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self.publish(QueuePingEvent())
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self.publish(QueuePingEvent(), PublishFrom.TASK_PIPELINE)
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last_ping_time = elapsed_time // 10
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def stop_listen(self) -> None:
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@ -75,76 +84,83 @@ class ApplicationQueueManager:
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"""
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self._q.put(None)
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def publish_chunk_message(self, chunk: LLMResultChunk) -> None:
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def publish_chunk_message(self, chunk: LLMResultChunk, pub_from: PublishFrom) -> None:
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"""
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Publish chunk message to channel
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:param chunk: chunk
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:param pub_from: publish from
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:return:
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"""
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self.publish(QueueMessageEvent(
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chunk=chunk
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))
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), pub_from)
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def publish_message_replace(self, text: str) -> None:
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def publish_message_replace(self, text: str, pub_from: PublishFrom) -> None:
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"""
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Publish message replace
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:param text: text
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:param pub_from: publish from
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:return:
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"""
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self.publish(QueueMessageReplaceEvent(
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text=text
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))
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), pub_from)
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def publish_retriever_resources(self, retriever_resources: list[dict]) -> None:
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def publish_retriever_resources(self, retriever_resources: list[dict], pub_from: PublishFrom) -> None:
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"""
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Publish retriever resources
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:return:
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"""
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self.publish(QueueRetrieverResourcesEvent(retriever_resources=retriever_resources))
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self.publish(QueueRetrieverResourcesEvent(retriever_resources=retriever_resources), pub_from)
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def publish_annotation_reply(self, message_annotation_id: str) -> None:
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def publish_annotation_reply(self, message_annotation_id: str, pub_from: PublishFrom) -> None:
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"""
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Publish annotation reply
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:param message_annotation_id: message annotation id
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:param pub_from: publish from
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:return:
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"""
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self.publish(AnnotationReplyEvent(message_annotation_id=message_annotation_id))
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self.publish(AnnotationReplyEvent(message_annotation_id=message_annotation_id), pub_from)
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def publish_message_end(self, llm_result: LLMResult) -> None:
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def publish_message_end(self, llm_result: LLMResult, pub_from: PublishFrom) -> None:
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"""
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Publish message end
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:param llm_result: llm result
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:param pub_from: publish from
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:return:
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"""
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self.publish(QueueMessageEndEvent(llm_result=llm_result))
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self.publish(QueueMessageEndEvent(llm_result=llm_result), pub_from)
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self.stop_listen()
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def publish_agent_thought(self, message_agent_thought: MessageAgentThought) -> None:
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def publish_agent_thought(self, message_agent_thought: MessageAgentThought, pub_from: PublishFrom) -> None:
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"""
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Publish agent thought
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:param message_agent_thought: message agent thought
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:param pub_from: publish from
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:return:
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"""
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self.publish(QueueAgentThoughtEvent(
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agent_thought_id=message_agent_thought.id
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))
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), pub_from)
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def publish_error(self, e) -> None:
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def publish_error(self, e, pub_from: PublishFrom) -> None:
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"""
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Publish error
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:param e: error
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:param pub_from: publish from
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:return:
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"""
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self.publish(QueueErrorEvent(
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error=e
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))
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), pub_from)
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self.stop_listen()
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def publish(self, event: AppQueueEvent) -> None:
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def publish(self, event: AppQueueEvent, pub_from: PublishFrom) -> None:
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"""
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Publish event to queue
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:param event:
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:param pub_from:
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:return:
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"""
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self._check_for_sqlalchemy_models(event.dict())
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@ -162,6 +178,9 @@ class ApplicationQueueManager:
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if isinstance(event, QueueStopEvent):
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self.stop_listen()
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if pub_from == PublishFrom.APPLICATION_MANAGER and self._is_stopped():
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raise ConversationTaskStoppedException()
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@classmethod
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def set_stop_flag(cls, task_id: str, invoke_from: InvokeFrom, user_id: str) -> None:
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"""
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@ -187,7 +206,6 @@ class ApplicationQueueManager:
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stopped_cache_key = ApplicationQueueManager._generate_stopped_cache_key(self._task_id)
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result = redis_client.get(stopped_cache_key)
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if result is not None:
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redis_client.delete(stopped_cache_key)
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return True
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return False
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@ -8,7 +8,7 @@ from langchain.agents import openai_functions_agent, openai_functions_multi_agen
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from langchain.callbacks.base import BaseCallbackHandler
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from langchain.schema import AgentAction, AgentFinish, LLMResult, ChatGeneration, BaseMessage
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from core.application_queue_manager import ApplicationQueueManager
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from core.application_queue_manager import ApplicationQueueManager, PublishFrom
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from core.callback_handler.entity.agent_loop import AgentLoop
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from core.entities.application_entities import ModelConfigEntity
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from core.model_runtime.entities.llm_entities import LLMResult as RuntimeLLMResult
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@ -232,7 +232,7 @@ class AgentLoopGatherCallbackHandler(BaseCallbackHandler):
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db.session.add(message_agent_thought)
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db.session.commit()
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self.queue_manager.publish_agent_thought(message_agent_thought)
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self.queue_manager.publish_agent_thought(message_agent_thought, PublishFrom.APPLICATION_MANAGER)
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return message_agent_thought
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@ -2,7 +2,7 @@ from typing import List, Union
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from langchain.schema import Document
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from core.application_queue_manager import ApplicationQueueManager
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from core.application_queue_manager import ApplicationQueueManager, PublishFrom
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from core.entities.application_entities import InvokeFrom
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from extensions.ext_database import db
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from models.dataset import DocumentSegment, DatasetQuery
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@ -80,4 +80,4 @@ class DatasetIndexToolCallbackHandler:
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db.session.add(dataset_retriever_resource)
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db.session.commit()
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self._queue_manager.publish_retriever_resources(resource)
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self._queue_manager.publish_retriever_resources(resource, PublishFrom.APPLICATION_MANAGER)
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