278 lines
11 KiB
Python
278 lines
11 KiB
Python
from typing import Dict, Any, List, Optional
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import logging
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from datetime import datetime, UTC
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import uuid
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import asyncio
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from modules.interfaces.interfaceAppObjects import User
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from modules.interfaces.interfaceChatModel import (UserInputRequest, ChatMessage, ChatWorkflow, TaskItem, TaskStatus)
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from modules.interfaces.interfaceChatObjects import ChatObjects
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from modules.chat.managerChat import ChatManager
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from modules.interfaces.interfaceChatModel import WorkflowResult
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logger = logging.getLogger(__name__)
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class WorkflowStoppedException(Exception):
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"""Exception raised when workflow is stopped by user"""
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pass
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class WorkflowManager:
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"""Manager for workflow processing and coordination"""
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def __init__(self, chatInterface: ChatObjects, currentUser: User):
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self.chatInterface = chatInterface
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self.chatManager = ChatManager(currentUser, chatInterface)
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self.currentUser = currentUser
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def _checkWorkflowStopped(self, workflow: ChatWorkflow) -> None:
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"""Check if workflow has been stopped"""
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if workflow.status == "stopped":
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raise WorkflowStoppedException("Workflow was stopped by user")
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async def workflowProcess(self, userInput: UserInputRequest, workflow: ChatWorkflow) -> None:
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"""Process a workflow with user input using unified workflow phases"""
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try:
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# Initialize chat manager
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await self.chatManager.initialize(workflow)
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# Set user language
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self.chatManager.setUserLanguage(userInput.userLanguage)
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# Send first message
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message = await self._sendFirstMessage(userInput, workflow)
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# Execute unified workflow
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workflow_result = await self.chatManager.executeUnifiedWorkflow(userInput, workflow)
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# Process workflow results
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await self._processWorkflowResults(workflow, workflow_result, message)
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# Send last message
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await self._sendLastMessage(workflow)
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except WorkflowStoppedException:
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logger.info("Workflow stopped by user")
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# Update workflow status to stopped
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workflow.status = "stopped"
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workflow.lastActivity = datetime.now(UTC).isoformat()
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self.chatInterface.updateWorkflow(workflow.id, {
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"status": "stopped",
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"lastActivity": workflow.lastActivity
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})
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# Add log entry
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self.chatInterface.createWorkflowLog({
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"workflowId": workflow.id,
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"message": "Workflow stopped by user",
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"type": "warning",
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"status": "stopped",
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"progress": 100
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})
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except Exception as e:
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logger.error(f"Workflow processing error: {str(e)}")
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# Update workflow status to failed
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workflow.status = "failed"
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workflow.lastActivity = datetime.now(UTC).isoformat()
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self.chatInterface.updateWorkflow(workflow.id, {
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"status": "failed",
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"lastActivity": workflow.lastActivity
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})
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# Create error message
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error_message = {
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"workflowId": workflow.id,
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"role": "assistant",
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"message": f"Workflow processing failed: {str(e)}",
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"status": "last",
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"sequenceNr": len(workflow.messages) + 1,
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"publishedAt": datetime.now(UTC).isoformat()
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}
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message = self.chatInterface.createWorkflowMessage(error_message)
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if message:
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workflow.messages.append(message)
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# Add error log entry
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self.chatInterface.createWorkflowLog({
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"workflowId": workflow.id,
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"message": f"Workflow failed: {str(e)}",
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"type": "error",
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"status": "failed",
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"progress": 100
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})
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raise
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async def _sendFirstMessage(self, userInput: UserInputRequest, workflow: ChatWorkflow) -> ChatMessage:
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"""Send first message to start workflow"""
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try:
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# Create initial message using interface
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messageData = {
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"workflowId": workflow.id,
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"role": "user",
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"message": userInput.prompt,
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"status": "first",
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"sequenceNr": 1,
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"publishedAt": datetime.now(UTC).isoformat()
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}
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# Add documents if any
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if userInput.listFileId:
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# Process file IDs and add to message data
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documents = await self.chatManager.processFileIds(userInput.listFileId)
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messageData["documents"] = documents
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# Create message using interface
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message = self.chatInterface.createWorkflowMessage(messageData)
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if message:
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workflow.messages.append(message)
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return message
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else:
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raise Exception("Failed to create first message")
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except Exception as e:
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logger.error(f"Error sending first message: {str(e)}")
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raise
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async def _generateWorkflowFeedback(self, workflow: ChatWorkflow) -> str:
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"""Generate feedback message for workflow completion"""
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try:
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# Count messages by role
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user_messages = [msg for msg in workflow.messages if msg.role == 'user']
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assistant_messages = [msg for msg in workflow.messages if msg.role == 'assistant']
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# Generate summary feedback
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feedback = f"Workflow completed.\n\n"
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feedback += f"Processed {len(user_messages)} user inputs and generated {len(assistant_messages)} responses.\n"
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# Add final status
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if workflow.status == "completed":
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feedback += "All tasks completed successfully."
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elif workflow.status == "partial":
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feedback += "Some tasks completed with partial success."
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else:
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feedback += f"Workflow status: {workflow.status}"
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return feedback
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except Exception as e:
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logger.error(f"Error generating workflow feedback: {str(e)}")
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return "Workflow processing completed."
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async def _sendLastMessage(self, workflow: ChatWorkflow) -> None:
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"""Send last message to complete workflow"""
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try:
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# Generate feedback
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feedback = await self._generateWorkflowFeedback(workflow)
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# Create last message using interface
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messageData = {
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"workflowId": workflow.id,
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"role": "assistant",
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"message": feedback,
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"status": "last",
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"sequenceNr": len(workflow.messages) + 1,
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"publishedAt": datetime.now(UTC).isoformat()
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}
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# Create message using interface
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message = self.chatInterface.createWorkflowMessage(messageData)
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if message:
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workflow.messages.append(message)
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# Update workflow status to completed
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workflow.status = "completed"
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workflow.lastActivity = datetime.now(UTC).isoformat()
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# Update workflow in database
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self.chatInterface.updateWorkflow(workflow.id, {
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"status": "completed",
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"lastActivity": workflow.lastActivity
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})
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# Add completion log entry
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self.chatInterface.createWorkflowLog({
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"workflowId": workflow.id,
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"message": "Workflow completed",
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"type": "success",
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"status": "completed",
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"progress": 100
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})
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except Exception as e:
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logger.error(f"Error sending last message: {str(e)}")
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raise
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async def _processWorkflowResults(self, workflow: ChatWorkflow, workflow_result: WorkflowResult, initial_message: ChatMessage) -> None:
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"""Process workflow results and create appropriate messages"""
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try:
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if workflow_result.status == 'failed':
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# Create error message
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error_message = {
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"workflowId": workflow.id,
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"role": "assistant",
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"message": f"Workflow failed: {workflow_result.error or 'Unknown error'}",
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"status": "last",
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"sequenceNr": len(workflow.messages) + 1,
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"publishedAt": datetime.now(UTC).isoformat()
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}
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message = self.chatInterface.createWorkflowMessage(error_message)
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if message:
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workflow.messages.append(message)
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# Update workflow status to failed
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workflow.status = "failed"
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workflow.lastActivity = datetime.now(UTC).isoformat()
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self.chatInterface.updateWorkflow(workflow.id, {
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"status": "failed",
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"lastActivity": workflow.lastActivity
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})
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return
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# For successful workflows, create a simple completion message
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summary_message = {
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"workflowId": workflow.id,
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"role": "assistant",
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"message": f"Workflow completed successfully. Completed {workflow_result.completed_tasks}/{workflow_result.total_tasks} tasks in {workflow_result.execution_time:.2f} seconds.",
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"status": "last",
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"sequenceNr": len(workflow.messages) + 1,
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"publishedAt": datetime.now(UTC).isoformat()
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}
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message = self.chatInterface.createWorkflowMessage(summary_message)
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if message:
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workflow.messages.append(message)
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# Update workflow status to completed for successful workflows
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workflow.status = "completed"
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workflow.lastActivity = datetime.now(UTC).isoformat()
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self.chatInterface.updateWorkflow(workflow.id, {
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"status": "completed",
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"lastActivity": workflow.lastActivity
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})
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except Exception as e:
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logger.error(f"Error processing workflow results: {str(e)}")
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# Create error message
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error_message = {
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"workflowId": workflow.id,
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"role": "assistant",
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"message": f"Error processing workflow results: {str(e)}",
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"status": "last",
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"sequenceNr": len(workflow.messages) + 1,
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"publishedAt": datetime.now(UTC).isoformat()
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}
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message = self.chatInterface.createWorkflowMessage(error_message)
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if message:
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workflow.messages.append(message)
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# Update workflow status to failed
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workflow.status = "failed"
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workflow.lastActivity = datetime.now(UTC).isoformat()
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self.chatInterface.updateWorkflow(workflow.id, {
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"status": "failed",
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"lastActivity": workflow.lastActivity
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})
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