feat: Introduce WorkflowExecution Domain Entity and Repository, Replace WorkflowRun Direct Usage, and Unify Stream Response Logic (#20067)
Signed-off-by: -LAN- <laipz8200@outlook.com>
This commit is contained in:
-LAN-
@@ -18,16 +18,19 @@ from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager
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from core.app.apps.workflow.app_queue_manager import WorkflowAppQueueManager
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from core.app.apps.workflow.app_runner import WorkflowAppRunner
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from core.app.apps.workflow.generate_response_converter import WorkflowAppGenerateResponseConverter
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from core.app.apps.workflow.generate_task_pipeline import WorkflowAppGenerateTaskPipeline
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from core.app.entities.app_invoke_entities import InvokeFrom, WorkflowAppGenerateEntity
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from core.app.entities.task_entities import WorkflowAppBlockingResponse, WorkflowAppStreamResponse
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from core.model_runtime.errors.invoke import InvokeAuthorizationError
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from core.ops.ops_trace_manager import TraceQueueManager
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from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
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from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository
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from core.workflow.repository.workflow_execution_repository import WorkflowExecutionRepository
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from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
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from core.workflow.workflow_app_generate_task_pipeline import WorkflowAppGenerateTaskPipeline
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from extensions.ext_database import db
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from factories import file_factory
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from models import Account, App, EndUser, Workflow, WorkflowNodeExecutionTriggeredFrom
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from models.enums import WorkflowRunTriggeredFrom
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logger = logging.getLogger(__name__)
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@@ -136,9 +139,22 @@ class WorkflowAppGenerator(BaseAppGenerator):
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contexts.plugin_tool_providers.set({})
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contexts.plugin_tool_providers_lock.set(threading.Lock())
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# Create workflow node execution repository
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# Create repositories
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#
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# Create session factory
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session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
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# Create workflow execution(aka workflow run) repository
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if invoke_from == InvokeFrom.DEBUGGER:
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workflow_triggered_from = WorkflowRunTriggeredFrom.DEBUGGING
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else:
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workflow_triggered_from = WorkflowRunTriggeredFrom.APP_RUN
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workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
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session_factory=session_factory,
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user=user,
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app_id=application_generate_entity.app_config.app_id,
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triggered_from=workflow_triggered_from,
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)
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# Create workflow node execution repository
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workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
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session_factory=session_factory,
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user=user,
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@@ -152,6 +168,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
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user=user,
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application_generate_entity=application_generate_entity,
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invoke_from=invoke_from,
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workflow_execution_repository=workflow_execution_repository,
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workflow_node_execution_repository=workflow_node_execution_repository,
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streaming=streaming,
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workflow_thread_pool_id=workflow_thread_pool_id,
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@@ -165,6 +182,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
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user: Union[Account, EndUser],
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application_generate_entity: WorkflowAppGenerateEntity,
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invoke_from: InvokeFrom,
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workflow_execution_repository: WorkflowExecutionRepository,
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workflow_node_execution_repository: WorkflowNodeExecutionRepository,
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streaming: bool = True,
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workflow_thread_pool_id: Optional[str] = None,
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@@ -209,6 +227,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
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workflow=workflow,
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queue_manager=queue_manager,
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user=user,
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workflow_execution_repository=workflow_execution_repository,
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workflow_node_execution_repository=workflow_node_execution_repository,
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stream=streaming,
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)
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@@ -262,6 +281,17 @@ class WorkflowAppGenerator(BaseAppGenerator):
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contexts.plugin_tool_providers.set({})
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contexts.plugin_tool_providers_lock.set(threading.Lock())
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# Create repositories
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#
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# Create session factory
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session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
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# Create workflow execution(aka workflow run) repository
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workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
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session_factory=session_factory,
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user=user,
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app_id=application_generate_entity.app_config.app_id,
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triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
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)
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# Create workflow node execution repository
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session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
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@@ -278,6 +308,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
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user=user,
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invoke_from=InvokeFrom.DEBUGGER,
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application_generate_entity=application_generate_entity,
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workflow_execution_repository=workflow_execution_repository,
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workflow_node_execution_repository=workflow_node_execution_repository,
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streaming=streaming,
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)
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@@ -327,6 +358,17 @@ class WorkflowAppGenerator(BaseAppGenerator):
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contexts.plugin_tool_providers.set({})
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contexts.plugin_tool_providers_lock.set(threading.Lock())
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# Create repositories
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#
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# Create session factory
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session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
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# Create workflow execution(aka workflow run) repository
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workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
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session_factory=session_factory,
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user=user,
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app_id=application_generate_entity.app_config.app_id,
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triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
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)
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# Create workflow node execution repository
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session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
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@@ -343,6 +385,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
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user=user,
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invoke_from=InvokeFrom.DEBUGGER,
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application_generate_entity=application_generate_entity,
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workflow_execution_repository=workflow_execution_repository,
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workflow_node_execution_repository=workflow_node_execution_repository,
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streaming=streaming,
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)
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@@ -400,6 +443,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
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workflow: Workflow,
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queue_manager: AppQueueManager,
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user: Union[Account, EndUser],
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workflow_execution_repository: WorkflowExecutionRepository,
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workflow_node_execution_repository: WorkflowNodeExecutionRepository,
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stream: bool = False,
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) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]:
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@@ -419,8 +463,9 @@ class WorkflowAppGenerator(BaseAppGenerator):
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workflow=workflow,
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queue_manager=queue_manager,
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user=user,
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stream=stream,
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workflow_execution_repository=workflow_execution_repository,
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workflow_node_execution_repository=workflow_node_execution_repository,
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stream=stream,
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)
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try:
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591
api/core/app/apps/workflow/generate_task_pipeline.py
Normal file
591
api/core/app/apps/workflow/generate_task_pipeline.py
Normal file
@@ -0,0 +1,591 @@
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import logging
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import time
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from collections.abc import Generator
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from typing import Optional, Union
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from sqlalchemy import select
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from sqlalchemy.orm import Session
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from constants.tts_auto_play_timeout import TTS_AUTO_PLAY_TIMEOUT, TTS_AUTO_PLAY_YIELD_CPU_TIME
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from core.app.apps.base_app_queue_manager import AppQueueManager
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from core.app.entities.app_invoke_entities import (
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InvokeFrom,
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WorkflowAppGenerateEntity,
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)
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from core.app.entities.queue_entities import (
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QueueAgentLogEvent,
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QueueErrorEvent,
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QueueIterationCompletedEvent,
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QueueIterationNextEvent,
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QueueIterationStartEvent,
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QueueLoopCompletedEvent,
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QueueLoopNextEvent,
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QueueLoopStartEvent,
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QueueNodeExceptionEvent,
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QueueNodeFailedEvent,
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QueueNodeInIterationFailedEvent,
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QueueNodeInLoopFailedEvent,
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QueueNodeRetryEvent,
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QueueNodeStartedEvent,
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QueueNodeSucceededEvent,
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QueueParallelBranchRunFailedEvent,
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QueueParallelBranchRunStartedEvent,
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QueueParallelBranchRunSucceededEvent,
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QueuePingEvent,
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QueueStopEvent,
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QueueTextChunkEvent,
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QueueWorkflowFailedEvent,
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QueueWorkflowPartialSuccessEvent,
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QueueWorkflowStartedEvent,
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QueueWorkflowSucceededEvent,
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)
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from core.app.entities.task_entities import (
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ErrorStreamResponse,
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MessageAudioEndStreamResponse,
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MessageAudioStreamResponse,
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StreamResponse,
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TextChunkStreamResponse,
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WorkflowAppBlockingResponse,
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WorkflowAppStreamResponse,
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WorkflowFinishStreamResponse,
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WorkflowStartStreamResponse,
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WorkflowTaskState,
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)
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from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTaskPipeline
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from core.base.tts import AppGeneratorTTSPublisher, AudioTrunk
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from core.ops.ops_trace_manager import TraceQueueManager
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from core.workflow.entities.workflow_execution_entities import WorkflowExecution
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from core.workflow.enums import SystemVariableKey
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from core.workflow.repository.workflow_execution_repository import WorkflowExecutionRepository
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from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
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from core.workflow.workflow_cycle_manager import WorkflowCycleManager
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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.enums import CreatorUserRole
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from models.model import EndUser
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from models.workflow import (
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Workflow,
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WorkflowAppLog,
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WorkflowAppLogCreatedFrom,
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WorkflowRun,
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WorkflowRunStatus,
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)
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logger = logging.getLogger(__name__)
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class WorkflowAppGenerateTaskPipeline:
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"""
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WorkflowAppGenerateTaskPipeline is a class that generate stream output and state management for Application.
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"""
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def __init__(
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self,
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application_generate_entity: WorkflowAppGenerateEntity,
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workflow: Workflow,
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queue_manager: AppQueueManager,
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user: Union[Account, EndUser],
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stream: bool,
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workflow_execution_repository: WorkflowExecutionRepository,
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workflow_node_execution_repository: WorkflowNodeExecutionRepository,
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) -> None:
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self._base_task_pipeline = BasedGenerateTaskPipeline(
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application_generate_entity=application_generate_entity,
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queue_manager=queue_manager,
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stream=stream,
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)
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if isinstance(user, EndUser):
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self._user_id = user.id
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user_session_id = user.session_id
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self._created_by_role = CreatorUserRole.END_USER
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elif isinstance(user, Account):
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self._user_id = user.id
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user_session_id = user.id
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self._created_by_role = CreatorUserRole.ACCOUNT
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else:
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raise ValueError(f"Invalid user type: {type(user)}")
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self._workflow_cycle_manager = WorkflowCycleManager(
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application_generate_entity=application_generate_entity,
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workflow_system_variables={
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SystemVariableKey.FILES: application_generate_entity.files,
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SystemVariableKey.USER_ID: user_session_id,
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SystemVariableKey.APP_ID: application_generate_entity.app_config.app_id,
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SystemVariableKey.WORKFLOW_ID: workflow.id,
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SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id,
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},
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workflow_execution_repository=workflow_execution_repository,
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workflow_node_execution_repository=workflow_node_execution_repository,
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)
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self._application_generate_entity = application_generate_entity
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self._workflow_id = workflow.id
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self._workflow_features_dict = workflow.features_dict
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self._task_state = WorkflowTaskState()
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self._workflow_run_id = ""
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def process(self) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]:
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"""
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Process generate task pipeline.
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:return:
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"""
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generator = self._wrapper_process_stream_response(trace_manager=self._application_generate_entity.trace_manager)
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if self._base_task_pipeline._stream:
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return self._to_stream_response(generator)
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else:
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return self._to_blocking_response(generator)
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def _to_blocking_response(self, generator: Generator[StreamResponse, None, None]) -> WorkflowAppBlockingResponse:
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"""
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To blocking response.
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:return:
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"""
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for stream_response in generator:
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if isinstance(stream_response, ErrorStreamResponse):
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raise stream_response.err
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elif isinstance(stream_response, WorkflowFinishStreamResponse):
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response = WorkflowAppBlockingResponse(
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task_id=self._application_generate_entity.task_id,
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workflow_run_id=stream_response.data.id,
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data=WorkflowAppBlockingResponse.Data(
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id=stream_response.data.id,
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workflow_id=stream_response.data.workflow_id,
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status=stream_response.data.status,
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outputs=stream_response.data.outputs,
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error=stream_response.data.error,
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elapsed_time=stream_response.data.elapsed_time,
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total_tokens=stream_response.data.total_tokens,
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total_steps=stream_response.data.total_steps,
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created_at=int(stream_response.data.created_at),
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finished_at=int(stream_response.data.finished_at),
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),
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)
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return response
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else:
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continue
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raise ValueError("queue listening stopped unexpectedly.")
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def _to_stream_response(
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self, generator: Generator[StreamResponse, None, None]
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) -> Generator[WorkflowAppStreamResponse, None, None]:
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"""
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To stream response.
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:return:
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"""
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workflow_run_id = None
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for stream_response in generator:
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if isinstance(stream_response, WorkflowStartStreamResponse):
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workflow_run_id = stream_response.workflow_run_id
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yield WorkflowAppStreamResponse(workflow_run_id=workflow_run_id, stream_response=stream_response)
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def _listen_audio_msg(self, publisher: AppGeneratorTTSPublisher | None, task_id: str):
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if not publisher:
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return None
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audio_msg = publisher.check_and_get_audio()
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if audio_msg and isinstance(audio_msg, AudioTrunk) and audio_msg.status != "finish":
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return MessageAudioStreamResponse(audio=audio_msg.audio, task_id=task_id)
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return None
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def _wrapper_process_stream_response(
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self, trace_manager: Optional[TraceQueueManager] = None
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) -> Generator[StreamResponse, None, None]:
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tts_publisher = None
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task_id = self._application_generate_entity.task_id
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tenant_id = self._application_generate_entity.app_config.tenant_id
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features_dict = self._workflow_features_dict
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if (
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features_dict.get("text_to_speech")
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and features_dict["text_to_speech"].get("enabled")
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and features_dict["text_to_speech"].get("autoPlay") == "enabled"
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):
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tts_publisher = AppGeneratorTTSPublisher(
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tenant_id, features_dict["text_to_speech"].get("voice"), features_dict["text_to_speech"].get("language")
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)
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for response in self._process_stream_response(tts_publisher=tts_publisher, trace_manager=trace_manager):
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while True:
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audio_response = self._listen_audio_msg(publisher=tts_publisher, task_id=task_id)
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if audio_response:
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yield audio_response
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else:
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break
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yield response
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start_listener_time = time.time()
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while (time.time() - start_listener_time) < TTS_AUTO_PLAY_TIMEOUT:
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try:
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if not tts_publisher:
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break
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audio_trunk = tts_publisher.check_and_get_audio()
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if audio_trunk is None:
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# release cpu
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# sleep 20 ms ( 40ms => 1280 byte audio file,20ms => 640 byte audio file)
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time.sleep(TTS_AUTO_PLAY_YIELD_CPU_TIME)
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continue
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if audio_trunk.status == "finish":
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break
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else:
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yield MessageAudioStreamResponse(audio=audio_trunk.audio, task_id=task_id)
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except Exception:
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logger.exception(f"Fails to get audio trunk, task_id: {task_id}")
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break
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if tts_publisher:
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yield MessageAudioEndStreamResponse(audio="", task_id=task_id)
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def _process_stream_response(
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self,
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tts_publisher: Optional[AppGeneratorTTSPublisher] = None,
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trace_manager: Optional[TraceQueueManager] = None,
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) -> Generator[StreamResponse, None, None]:
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"""
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Process stream response.
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:return:
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"""
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graph_runtime_state = None
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for queue_message in self._base_task_pipeline._queue_manager.listen():
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event = queue_message.event
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if isinstance(event, QueuePingEvent):
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yield self._base_task_pipeline._ping_stream_response()
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elif isinstance(event, QueueErrorEvent):
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err = self._base_task_pipeline._handle_error(event=event)
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yield self._base_task_pipeline._error_to_stream_response(err)
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break
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elif isinstance(event, QueueWorkflowStartedEvent):
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# override graph runtime state
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graph_runtime_state = event.graph_runtime_state
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with Session(db.engine, expire_on_commit=False) as session:
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# init workflow run
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workflow_execution = self._workflow_cycle_manager.handle_workflow_run_start(
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session=session,
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workflow_id=self._workflow_id,
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)
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self._workflow_run_id = workflow_execution.id
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start_resp = self._workflow_cycle_manager.workflow_start_to_stream_response(
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task_id=self._application_generate_entity.task_id,
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workflow_execution=workflow_execution,
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)
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yield start_resp
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elif isinstance(
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event,
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QueueNodeRetryEvent,
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):
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if not self._workflow_run_id:
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raise ValueError("workflow run not initialized.")
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with Session(db.engine, expire_on_commit=False) as session:
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workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried(
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workflow_execution_id=self._workflow_run_id,
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event=event,
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)
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response = self._workflow_cycle_manager.workflow_node_retry_to_stream_response(
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event=event,
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task_id=self._application_generate_entity.task_id,
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workflow_node_execution=workflow_node_execution,
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)
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session.commit()
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||||
|
||||
if response:
|
||||
yield response
|
||||
elif isinstance(event, QueueNodeStartedEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
|
||||
workflow_node_execution = self._workflow_cycle_manager.handle_node_execution_start(
|
||||
workflow_execution_id=self._workflow_run_id, event=event
|
||||
)
|
||||
node_start_response = self._workflow_cycle_manager.workflow_node_start_to_stream_response(
|
||||
event=event,
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_node_execution=workflow_node_execution,
|
||||
)
|
||||
|
||||
if node_start_response:
|
||||
yield node_start_response
|
||||
elif isinstance(event, QueueNodeSucceededEvent):
|
||||
workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_success(
|
||||
event=event
|
||||
)
|
||||
node_success_response = self._workflow_cycle_manager.workflow_node_finish_to_stream_response(
|
||||
event=event,
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_node_execution=workflow_node_execution,
|
||||
)
|
||||
|
||||
if node_success_response:
|
||||
yield node_success_response
|
||||
elif isinstance(
|
||||
event,
|
||||
QueueNodeFailedEvent
|
||||
| QueueNodeInIterationFailedEvent
|
||||
| QueueNodeInLoopFailedEvent
|
||||
| QueueNodeExceptionEvent,
|
||||
):
|
||||
workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_failed(
|
||||
event=event,
|
||||
)
|
||||
node_failed_response = self._workflow_cycle_manager.workflow_node_finish_to_stream_response(
|
||||
event=event,
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_node_execution=workflow_node_execution,
|
||||
)
|
||||
|
||||
if node_failed_response:
|
||||
yield node_failed_response
|
||||
|
||||
elif isinstance(event, QueueParallelBranchRunStartedEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
|
||||
parallel_start_resp = self._workflow_cycle_manager.workflow_parallel_branch_start_to_stream_response(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution_id=self._workflow_run_id,
|
||||
event=event,
|
||||
)
|
||||
|
||||
yield parallel_start_resp
|
||||
|
||||
elif isinstance(event, QueueParallelBranchRunSucceededEvent | QueueParallelBranchRunFailedEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
|
||||
parallel_finish_resp = (
|
||||
self._workflow_cycle_manager.workflow_parallel_branch_finished_to_stream_response(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution_id=self._workflow_run_id,
|
||||
event=event,
|
||||
)
|
||||
)
|
||||
|
||||
yield parallel_finish_resp
|
||||
|
||||
elif isinstance(event, QueueIterationStartEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
|
||||
iter_start_resp = self._workflow_cycle_manager.workflow_iteration_start_to_stream_response(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution_id=self._workflow_run_id,
|
||||
event=event,
|
||||
)
|
||||
|
||||
yield iter_start_resp
|
||||
|
||||
elif isinstance(event, QueueIterationNextEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
|
||||
iter_next_resp = self._workflow_cycle_manager.workflow_iteration_next_to_stream_response(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution_id=self._workflow_run_id,
|
||||
event=event,
|
||||
)
|
||||
|
||||
yield iter_next_resp
|
||||
|
||||
elif isinstance(event, QueueIterationCompletedEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
|
||||
iter_finish_resp = self._workflow_cycle_manager.workflow_iteration_completed_to_stream_response(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution_id=self._workflow_run_id,
|
||||
event=event,
|
||||
)
|
||||
|
||||
yield iter_finish_resp
|
||||
|
||||
elif isinstance(event, QueueLoopStartEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
|
||||
loop_start_resp = self._workflow_cycle_manager.workflow_loop_start_to_stream_response(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution_id=self._workflow_run_id,
|
||||
event=event,
|
||||
)
|
||||
|
||||
yield loop_start_resp
|
||||
|
||||
elif isinstance(event, QueueLoopNextEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
|
||||
loop_next_resp = self._workflow_cycle_manager.workflow_loop_next_to_stream_response(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution_id=self._workflow_run_id,
|
||||
event=event,
|
||||
)
|
||||
|
||||
yield loop_next_resp
|
||||
|
||||
elif isinstance(event, QueueLoopCompletedEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
|
||||
loop_finish_resp = self._workflow_cycle_manager.workflow_loop_completed_to_stream_response(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution_id=self._workflow_run_id,
|
||||
event=event,
|
||||
)
|
||||
|
||||
yield loop_finish_resp
|
||||
|
||||
elif isinstance(event, QueueWorkflowSucceededEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
if not graph_runtime_state:
|
||||
raise ValueError("graph runtime state not initialized.")
|
||||
|
||||
with Session(db.engine, expire_on_commit=False) as session:
|
||||
workflow_execution = self._workflow_cycle_manager.handle_workflow_run_success(
|
||||
workflow_run_id=self._workflow_run_id,
|
||||
total_tokens=graph_runtime_state.total_tokens,
|
||||
total_steps=graph_runtime_state.node_run_steps,
|
||||
outputs=event.outputs,
|
||||
conversation_id=None,
|
||||
trace_manager=trace_manager,
|
||||
)
|
||||
|
||||
# save workflow app log
|
||||
self._save_workflow_app_log(session=session, workflow_execution=workflow_execution)
|
||||
|
||||
workflow_finish_resp = self._workflow_cycle_manager.workflow_finish_to_stream_response(
|
||||
session=session,
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution=workflow_execution,
|
||||
)
|
||||
session.commit()
|
||||
|
||||
yield workflow_finish_resp
|
||||
elif isinstance(event, QueueWorkflowPartialSuccessEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
if not graph_runtime_state:
|
||||
raise ValueError("graph runtime state not initialized.")
|
||||
|
||||
with Session(db.engine, expire_on_commit=False) as session:
|
||||
workflow_execution = self._workflow_cycle_manager.handle_workflow_run_partial_success(
|
||||
workflow_run_id=self._workflow_run_id,
|
||||
total_tokens=graph_runtime_state.total_tokens,
|
||||
total_steps=graph_runtime_state.node_run_steps,
|
||||
outputs=event.outputs,
|
||||
exceptions_count=event.exceptions_count,
|
||||
conversation_id=None,
|
||||
trace_manager=trace_manager,
|
||||
)
|
||||
|
||||
# save workflow app log
|
||||
self._save_workflow_app_log(session=session, workflow_execution=workflow_execution)
|
||||
|
||||
workflow_finish_resp = self._workflow_cycle_manager.workflow_finish_to_stream_response(
|
||||
session=session,
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution=workflow_execution,
|
||||
)
|
||||
session.commit()
|
||||
|
||||
yield workflow_finish_resp
|
||||
elif isinstance(event, QueueWorkflowFailedEvent | QueueStopEvent):
|
||||
if not self._workflow_run_id:
|
||||
raise ValueError("workflow run not initialized.")
|
||||
if not graph_runtime_state:
|
||||
raise ValueError("graph runtime state not initialized.")
|
||||
|
||||
with Session(db.engine, expire_on_commit=False) as session:
|
||||
workflow_execution = self._workflow_cycle_manager.handle_workflow_run_failed(
|
||||
workflow_run_id=self._workflow_run_id,
|
||||
total_tokens=graph_runtime_state.total_tokens,
|
||||
total_steps=graph_runtime_state.node_run_steps,
|
||||
status=WorkflowRunStatus.FAILED
|
||||
if isinstance(event, QueueWorkflowFailedEvent)
|
||||
else WorkflowRunStatus.STOPPED,
|
||||
error_message=event.error
|
||||
if isinstance(event, QueueWorkflowFailedEvent)
|
||||
else event.get_stop_reason(),
|
||||
conversation_id=None,
|
||||
trace_manager=trace_manager,
|
||||
exceptions_count=event.exceptions_count if isinstance(event, QueueWorkflowFailedEvent) else 0,
|
||||
)
|
||||
|
||||
# save workflow app log
|
||||
self._save_workflow_app_log(session=session, workflow_execution=workflow_execution)
|
||||
|
||||
workflow_finish_resp = self._workflow_cycle_manager.workflow_finish_to_stream_response(
|
||||
session=session,
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_execution=workflow_execution,
|
||||
)
|
||||
session.commit()
|
||||
|
||||
yield workflow_finish_resp
|
||||
elif isinstance(event, QueueTextChunkEvent):
|
||||
delta_text = event.text
|
||||
if delta_text is None:
|
||||
continue
|
||||
|
||||
# only publish tts message at text chunk streaming
|
||||
if tts_publisher:
|
||||
tts_publisher.publish(queue_message)
|
||||
|
||||
self._task_state.answer += delta_text
|
||||
yield self._text_chunk_to_stream_response(
|
||||
delta_text, from_variable_selector=event.from_variable_selector
|
||||
)
|
||||
elif isinstance(event, QueueAgentLogEvent):
|
||||
yield self._workflow_cycle_manager.handle_agent_log(
|
||||
task_id=self._application_generate_entity.task_id, event=event
|
||||
)
|
||||
else:
|
||||
continue
|
||||
|
||||
if tts_publisher:
|
||||
tts_publisher.publish(None)
|
||||
|
||||
def _save_workflow_app_log(self, *, session: Session, workflow_execution: WorkflowExecution) -> None:
|
||||
workflow_run = session.scalar(select(WorkflowRun).where(WorkflowRun.id == workflow_execution.id))
|
||||
assert workflow_run is not None
|
||||
invoke_from = self._application_generate_entity.invoke_from
|
||||
if invoke_from == InvokeFrom.SERVICE_API:
|
||||
created_from = WorkflowAppLogCreatedFrom.SERVICE_API
|
||||
elif invoke_from == InvokeFrom.EXPLORE:
|
||||
created_from = WorkflowAppLogCreatedFrom.INSTALLED_APP
|
||||
elif invoke_from == InvokeFrom.WEB_APP:
|
||||
created_from = WorkflowAppLogCreatedFrom.WEB_APP
|
||||
else:
|
||||
# not save log for debugging
|
||||
return
|
||||
|
||||
workflow_app_log = WorkflowAppLog()
|
||||
workflow_app_log.tenant_id = workflow_run.tenant_id
|
||||
workflow_app_log.app_id = workflow_run.app_id
|
||||
workflow_app_log.workflow_id = workflow_run.workflow_id
|
||||
workflow_app_log.workflow_run_id = workflow_run.id
|
||||
workflow_app_log.created_from = created_from.value
|
||||
workflow_app_log.created_by_role = self._created_by_role
|
||||
workflow_app_log.created_by = self._user_id
|
||||
|
||||
session.add(workflow_app_log)
|
||||
session.commit()
|
||||
|
||||
def _text_chunk_to_stream_response(
|
||||
self, text: str, from_variable_selector: Optional[list[str]] = None
|
||||
) -> TextChunkStreamResponse:
|
||||
"""
|
||||
Handle completed event.
|
||||
:param text: text
|
||||
:return:
|
||||
"""
|
||||
response = TextChunkStreamResponse(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
data=TextChunkStreamResponse.Data(text=text, from_variable_selector=from_variable_selector),
|
||||
)
|
||||
|
||||
return response
|
||||
Reference in New Issue
Block a user