gateway/modules/workflow/managerWorkflow.py
2025-06-21 01:30:27 +02:00

157 lines
No EOL
6 KiB
Python

from typing import Dict, Any
import logging
from datetime import datetime, UTC
import uuid
from modules.interfaces.interfaceAppObjects import User
from modules.interfaces.interfaceChatModel import (UserInputRequest, ChatMessage, ChatWorkflow, TaskItem)
from modules.interfaces.interfaceChatObjects import ChatObjects
from modules.workflow.managerChat import ChatManager
logger = logging.getLogger(__name__)
class WorkflowStoppedException(Exception):
"""Exception raised when workflow is stopped by user"""
pass
class WorkflowManager:
"""Manager for workflow processing and coordination"""
def __init__(self, chatInterface: ChatObjects, currentUser: User):
self.chatInterface = chatInterface
self.chatManager = ChatManager(currentUser, chatInterface)
self.currentUser = currentUser
def _checkWorkflowStopped(self, workflow: ChatWorkflow) -> None:
"""Check if workflow has been stopped"""
if workflow.status == "stopped":
raise WorkflowStoppedException("Workflow was stopped by user")
async def workflowProcess(self, userInput: UserInputRequest, workflow: ChatWorkflow) -> TaskItem:
"""Process a workflow with user input"""
# Initialize chat manager
await self.chatManager.initialize(workflow)
# Set user language
self.chatManager.setUserLanguage(userInput.userLanguage)
# Send first message
message = await self._sendFirstMessage(userInput, workflow)
# Create initial task
task = await self.chatManager.createInitialTask(workflow, message)
# Log the task object
logger.info(f"Created task: {task}")
if task:
logger.info(f"Task ID: {task.id}")
logger.info(f"Task Status: {task.status}")
logger.info(f"Task Feedback: {task.feedback}")
logger.info(f"Number of actions: {len(task.actionList) if task.actionList else 0}")
return task
async def workflowProcess_ORIGINAL_TEMPORARY_DEACTIVATED(self, userInput: UserInputRequest, workflow: ChatWorkflow) -> None:
"""Process a workflow with user input"""
try:
# Initialize chat manager
await self.chatManager.initialize(workflow)
# Set user language
self.chatManager.setUserLanguage(userInput.userLanguage)
# Send first message
message = await self._sendFirstMessage(userInput, workflow)
# Create initial task
task = await self.chatManager.createInitialTask(workflow, message)
# Process workflow
while True:
# Check if workflow is stopped
self._checkWorkflowStopped(workflow)
# Execute task
result = await self.chatManager.executeTask(task)
# Process result
await self.chatManager.parseTaskResult(workflow, result)
# Check if workflow should continue
if not await self.chatManager.shouldContinue(workflow):
break
# Identify next task
nextTaskResult = await self.chatManager.identifyNextTask(workflow)
# Create next task
task = await self.chatManager.createNextTask(workflow, nextTaskResult)
if not task:
break
# Send last message
await self._sendLastMessage(workflow)
except WorkflowStoppedException:
logger.info("Workflow stopped by user")
except Exception as e:
logger.error(f"Workflow processing error: {str(e)}")
raise
async def _sendFirstMessage(self, userInput: UserInputRequest, workflow: ChatWorkflow) -> ChatMessage:
"""Send first message to start workflow"""
try:
# Create initial message using interface
messageData = {
"workflowId": workflow.id,
"role": "user",
"message": userInput.prompt,
"status": "first",
"sequenceNr": 1,
"publishedAt": datetime.now(UTC).isoformat()
}
# Add documents if any
if userInput.listFileId:
# Process file IDs and add to message data
documents = await self.chatManager.processFileIds(userInput.listFileId)
messageData["documents"] = documents
# Create message using interface
message = self.chatInterface.createWorkflowMessage(messageData)
if message:
workflow.messages.append(message)
return message
else:
raise Exception("Failed to create first message")
except Exception as e:
logger.error(f"Error sending first message: {str(e)}")
raise
async def _sendLastMessage(self, workflow: ChatWorkflow) -> None:
"""Send last message to complete workflow"""
try:
# Generate feedback
feedback = await self.chatManager.generateWorkflowFeedback(workflow)
# Create last message using interface
messageData = {
"workflowId": workflow.id,
"role": "assistant",
"message": feedback,
"status": "last",
"sequenceNr": len(workflow.messages) + 1,
"publishedAt": datetime.now(UTC).isoformat()
}
# Create message using interface
message = self.chatInterface.createWorkflowMessage(messageData)
if message:
workflow.messages.append(message)
except Exception as e:
logger.error(f"Error sending last message: {str(e)}")
raise