gateway/tests/functional/test05_workflow_with_documents.py
2026-01-22 00:23:33 +01:00

366 lines
13 KiB
Python

#!/usr/bin/env python3
# Copyright (c) 2025 Patrick Motsch
# All rights reserved.
"""
Workflow Test with Documents - Tests chat workflow execution with uploaded documents
Simulates the UI route flow: upload files, start workflow with prompt and documents
"""
import asyncio
import json
import sys
import os
import time
from typing import Dict, Any, List, Optional
# Add the gateway to path (go up 2 levels from tests/functional/)
_gateway_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))
if _gateway_path not in sys.path:
sys.path.insert(0, _gateway_path)
# Import the service initialization
from modules.services import getInterface as getServices
from modules.datamodels.datamodelChat import UserInputRequest, WorkflowModeEnum
from modules.datamodels.datamodelUam import User
from modules.features.workflow import chatStart
import modules.interfaces.interfaceDbChat as interfaceDbChat
class WorkflowWithDocumentsTester:
def __init__(self):
# Use root user for testing (has full access to everything)
from modules.interfaces.interfaceDbApp import getRootInterface
rootInterface = getRootInterface()
self.testUser = rootInterface.currentUser
# Initialize services using the existing system
self.services = getServices(self.testUser, None) # Test user, no workflow
self.workflow = None
self.testResults = {}
async def initialize(self):
"""Initialize the test environment."""
# Set logging level to INFO to see workflow progress
import logging
logging.getLogger().setLevel(logging.INFO)
print(f"Initialized test with user: {self.testUser.id}")
print(f"Mandate ID: {self.testUser.mandateId}")
def createCsvTemplate(self) -> str:
"""Create a CSV template file for prime numbers."""
csvContent = """Primzahl,Index
2,1
3,2
5,3
7,4
11,5
13,6
17,7
19,8
23,9
29,10
"""
return csvContent
def createSecondDocument(self) -> str:
"""Create a second text document with instructions."""
docContent = """Anweisungen zur Primzahlgenerierung:
1. Generiere Primzahlen
2. Formatiere sie in einer Tabelle mit 10 Spalten pro Zeile
3. Verwende das bereitgestellte CSV-Vorlagenformat
4. Stelle sicher, dass alle Zahlen korrekt formatiert sind
5. Füge eine Index-Spalte hinzu, die bei 1 beginnt
"""
return docContent
async def uploadFiles(self) -> List[str]:
"""Upload test files to the filesystem and return their file IDs."""
print("\n" + "="*60)
print("UPLOADING TEST FILES")
print("="*60)
fileIds = []
# Create CSV template file
csvContent = self.createCsvTemplate()
csvFileName = "prime_numbers_template.csv"
print(f"Creating CSV template: {csvFileName}")
print(f"Content length: {len(csvContent)} bytes")
# Create file in component storage
csvFileItem = self.services.interfaceDbComponent.createFile(
name=csvFileName,
mimeType="text/csv",
content=csvContent.encode('utf-8')
)
# Persist file data
self.services.interfaceDbComponent.createFileData(csvFileItem.id, csvContent.encode('utf-8'))
fileIds.append(csvFileItem.id)
print(f"✅ Created CSV file with ID: {csvFileItem.id}")
print(f" File name: {csvFileItem.fileName}")
print(f" MIME type: {csvFileItem.mimeType}")
# Create second text document
docContent = self.createSecondDocument()
docFileName = "prime_numbers_instructions.txt"
print(f"\nCreating instruction document: {docFileName}")
print(f"Content length: {len(docContent)} bytes")
# Create file in component storage
docFileItem = self.services.interfaceDbComponent.createFile(
name=docFileName,
mimeType="text/plain",
content=docContent.encode('utf-8')
)
# Persist file data
self.services.interfaceDbComponent.createFileData(docFileItem.id, docContent.encode('utf-8'))
fileIds.append(docFileItem.id)
print(f"✅ Created instruction file with ID: {docFileItem.id}")
print(f" File name: {docFileItem.fileName}")
print(f" MIME type: {docFileItem.mimeType}")
return fileIds
async def startWorkflow(self, prompt: str, fileIds: List[str]) -> None:
"""Start a chat workflow with prompt and documents."""
print("\n" + "="*60)
print("STARTING WORKFLOW")
print("="*60)
print(f"Prompt: {prompt}")
print(f"Number of files: {len(fileIds)}")
print(f"File IDs: {fileIds}")
# Create UserInputRequest
userInput = UserInputRequest(
prompt=prompt,
listFileId=fileIds,
userLanguage="en"
)
# Start workflow (this is async and returns immediately)
print("\nCalling chatStart...")
self.workflow = await chatStart(
currentUser=self.testUser,
userInput=userInput,
workflowMode=WorkflowModeEnum.WORKFLOW_DYNAMIC,
workflowId=None
)
print(f"✅ Workflow started with ID: {self.workflow.id}")
print(f" Status: {self.workflow.status}")
print(f" Mode: {self.workflow.workflowMode}")
print(f" Current Round: {self.workflow.currentRound}")
async def waitForWorkflowCompletion(self, maxWaitTime: Optional[int] = None) -> bool:
"""Wait for workflow to complete, checking status periodically.
Args:
maxWaitTime: Maximum wait time in seconds. If None, wait indefinitely.
"""
print("\n" + "="*60)
print("WAITING FOR WORKFLOW COMPLETION")
if maxWaitTime:
print(f"Maximum wait time: {maxWaitTime} seconds")
else:
print("Waiting indefinitely (no timeout)")
print("="*60)
if not self.workflow:
print("❌ No workflow to wait for")
return False
startTime = time.time()
checkInterval = 2 # Check every 2 seconds
lastStatus = None
while True:
# Check timeout if maxWaitTime is set
if maxWaitTime is not None:
elapsed = time.time() - startTime
if elapsed >= maxWaitTime:
print(f"\n⚠️ Workflow did not complete within {maxWaitTime} seconds")
print(f" Final status: {self.workflow.status}")
return False
# Get current workflow status
interfaceDbChat = interfaceDbChat.getInterface(self.testUser)
currentWorkflow = interfaceDbChat.getWorkflow(self.workflow.id)
if not currentWorkflow:
print("❌ Workflow not found in database")
return False
currentStatus = currentWorkflow.status
elapsed = int(time.time() - startTime)
# Print status if it changed
if currentStatus != lastStatus:
print(f"Workflow status: {currentStatus} (elapsed: {elapsed}s)")
lastStatus = currentStatus
# Check if workflow is complete
if currentStatus in ["completed", "stopped", "failed"]:
self.workflow = currentWorkflow
print(f"\n✅ Workflow finished with status: {currentStatus} (elapsed: {elapsed}s)")
return currentStatus == "completed"
# Wait before next check
await asyncio.sleep(checkInterval)
def analyzeWorkflowResults(self) -> Dict[str, Any]:
"""Analyze workflow results and extract information."""
print("\n" + "="*60)
print("ANALYZING WORKFLOW RESULTS")
print("="*60)
if not self.workflow:
return {"error": "No workflow to analyze"}
interfaceDbChat = interfaceDbChat.getInterface(self.testUser)
workflow = interfaceDbChat.getWorkflow(self.workflow.id)
if not workflow:
return {"error": "Workflow not found"}
# Get unified chat data
chatData = interfaceDbChat.getUnifiedChatData(workflow.id, None)
# Count messages
messages = chatData.get("messages", [])
userMessages = [m for m in messages if m.get("role") == "user"]
assistantMessages = [m for m in messages if m.get("role") == "assistant"]
# Count documents
documents = chatData.get("documents", [])
# Get logs
logs = chatData.get("logs", [])
# Get stats
stats = chatData.get("stats", [])
results = {
"workflowId": workflow.id,
"status": workflow.status,
"workflowMode": str(workflow.workflowMode) if hasattr(workflow, 'workflowMode') else None,
"currentRound": workflow.currentRound,
"totalTasks": workflow.totalTasks,
"totalActions": workflow.totalActions,
"messageCount": len(messages),
"userMessageCount": len(userMessages),
"assistantMessageCount": len(assistantMessages),
"documentCount": len(documents),
"logCount": len(logs),
"statCount": len(stats),
"messages": messages,
"documents": documents,
"logs": logs,
"stats": stats
}
print(f"Workflow ID: {results['workflowId']}")
print(f"Status: {results['status']}")
print(f"Mode: {results['workflowMode']}")
print(f"Round: {results['currentRound']}")
print(f"Tasks: {results['totalTasks']}")
print(f"Actions: {results['totalActions']}")
print(f"Messages: {results['messageCount']} (User: {results['userMessageCount']}, Assistant: {results['assistantMessageCount']})")
print(f"Documents: {results['documentCount']}")
print(f"Logs: {results['logCount']}")
print(f"Stats: {results['statCount']}")
# Print first user message
if userMessages:
print(f"\nFirst user message:")
print(f" {userMessages[0].get('message', '')[:200]}...")
# Print last assistant message
if assistantMessages:
print(f"\nLast assistant message:")
lastMsg = assistantMessages[-1]
print(f" {lastMsg.get('message', '')[:200]}...")
if lastMsg.get('documents'):
print(f" Documents attached: {len(lastMsg['documents'])}")
# Print document names
if documents:
print(f"\nGenerated documents:")
for doc in documents:
print(f" - {doc.get('fileName', 'unknown')} ({doc.get('fileSize', 0)} bytes)")
return results
async def runTest(self):
"""Run the complete test."""
print("\n" + "="*80)
print("WORKFLOW TEST WITH DOCUMENTS")
print("="*80)
try:
# Initialize
await self.initialize()
# Upload files
fileIds = await self.uploadFiles()
# Start workflow with prompt and files
prompt = "Generiere die ersten 4000 Primzahlen in einer Tabelle mit 10 Spalten pro Zeile."
await self.startWorkflow(prompt, fileIds)
# Wait for completion (no timeout - wait indefinitely)
completed = await self.waitForWorkflowCompletion()
# Analyze results
results = self.analyzeWorkflowResults()
self.testResults = {
"completed": completed,
"results": results
}
print("\n" + "="*80)
print("TEST SUMMARY")
print("="*80)
print(f"Workflow completed: {'' if completed else ''}")
print(f"Status: {results.get('status', 'unknown')}")
print(f"Messages: {results.get('messageCount', 0)}")
print(f"Documents: {results.get('documentCount', 0)}")
return self.testResults
except Exception as e:
import traceback
print(f"\n❌ Test failed with error: {type(e).__name__}: {str(e)}")
print(f"Traceback:\n{traceback.format_exc()}")
self.testResults = {
"completed": False,
"error": str(e),
"traceback": traceback.format_exc()
}
return self.testResults
async def main():
"""Run workflow test with documents."""
tester = WorkflowWithDocumentsTester()
results = await tester.runTest()
# Print final results as JSON for easy parsing
print("\n" + "="*80)
print("FINAL RESULTS (JSON)")
print("="*80)
print(json.dumps(results, indent=2, default=str))
if __name__ == "__main__":
asyncio.run(main())