#!/usr/bin/env python3
"""
Test script to demonstrate cross-process WebSocket emission issues.
This simulates what happens when AI processing runs in separate asyncio context.
"""

import os
import threading
import time
import asyncio
from app import create_app
from app.models.focus_group import emit_websocket_event

def simulate_main_process():
    """Simulate the main Flask/SocketIO process."""
    print("=" * 50)
    print("SIMULATING MAIN FLASK/SOCKETIO PROCESS")
    print("=" * 50)
    
    # Create Flask app (this initializes WebSocket manager)
    app = create_app()
    
    main_pid = os.getpid()
    main_thread = threading.get_ident()
    print(f"🔌 Main Process - PID: {main_pid}, Thread: {main_thread}")
    
    # Simulate WebSocket connection handling
    print("🔌 WebSocket connections would be handled in this process/thread")
    
    return app

def simulate_ai_processing():
    """Simulate AI processing that emits WebSocket events."""
    print("\n" + "=" * 50)
    print("SIMULATING AI PROCESSING (SEPARATE CONTEXT)")
    print("=" * 50)
    
    ai_pid = os.getpid()
    ai_thread = threading.get_ident()
    print(f"🤖 AI Process - PID: {ai_pid}, Thread: {ai_thread}")
    
    # Simulate emitting WebSocket events from AI processing
    test_focus_group_id = "test_fg_123"
    test_message_data = {
        "id": "msg_456",
        "content": "This is a test message from AI processing",
        "sender_name": "AI Assistant",
        "timestamp": time.time()
    }
    
    print(f"🤖 AI attempting to emit WebSocket event...")
    emit_websocket_event('message_update', test_focus_group_id, test_message_data)
    print(f"🤖 AI emit completed")

async def simulate_async_ai_processing():
    """Simulate asyncio-based AI processing (like AutonomousConversationController)."""
    print("\n" + "=" * 50)
    print("SIMULATING ASYNCIO AI PROCESSING")
    print("=" * 50)
    
    async_pid = os.getpid()
    async_thread = threading.get_ident()
    print(f"🔄 AsyncIO Process - PID: {async_pid}, Thread: {async_thread}")
    
    # Simulate async AI processing with WebSocket events
    test_focus_group_id = "test_fg_async_789"
    test_message_data = {
        "id": "msg_async_101",
        "content": "This is a test message from asyncio AI processing",
        "sender_name": "Async AI Assistant",
        "timestamp": time.time()
    }
    
    print(f"🔄 AsyncIO AI attempting to emit WebSocket event...")
    emit_websocket_event('message_update', test_focus_group_id, test_message_data)
    print(f"🔄 AsyncIO AI emit completed")
    
    # Simulate processing delay
    await asyncio.sleep(0.1)

def main():
    """Main test function."""
    print("🧪 WEBSOCKET CROSS-PROCESS TEST")
    print("This test demonstrates potential cross-process WebSocket emission issues")
    print("identified by GPT-5 analysis.\n")
    
    # Step 1: Simulate main Flask/SocketIO process
    app = simulate_main_process()
    
    # Step 2: Simulate AI processing in same thread
    simulate_ai_processing()
    
    # Step 3: Simulate async AI processing
    print("\n🔄 Running asyncio AI simulation...")
    asyncio.run(simulate_async_ai_processing())
    
    print("\n" + "=" * 50)
    print("TEST ANALYSIS")
    print("=" * 50)
    print("👀 Key observations to look for:")
    print("1. Are all PID/Thread IDs the same?")
    print("2. If different, this confirms cross-process emission issue")
    print("3. WebSocket events emitted from different process won't reach clients")
    print("4. This explains why AI mode messages don't appear in real-time")
    
    print("\n✅ Cross-process test completed")

if __name__ == "__main__":
    main()