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"""
Debug and validation test runner for Multi-Agent NLP System.
Orchestrates infrastructure validation, agent testing, and end-to-end workflow tests.
"""
import asyncio
import subprocess
import sys
import os
import time
from pathlib import Path
from typing import Dict, List, Optional
class DebugTestRunner:
"""Orchestrates debugging and validation tests for the multi-agent system."""
def __init__(self, project_root: str = None):
self.project_root = Path(project_root or "/Users/cuonghuynh/CascadeProjects/multi-agent-nlp-system")
self.test_results = {}
async def run_all_debug_tests(self):
"""Run all debugging and validation tests in sequence."""
print("π Starting Multi-Agent NLP System Debug & Validation")
print("=" * 60)
test_phases = [
("Infrastructure Validation", self.run_infrastructure_validation),
("Docker Services Check", self.check_docker_services),
("Agent Health Check", self.run_agent_health_check),
("Kafka Communication Test", self.test_kafka_communication),
("End-to-End Workflow Test", self.run_e2e_workflow_test),
("Performance Monitoring", self.run_performance_monitoring),
]
overall_success = True
for phase_name, phase_func in test_phases:
print(f"\nπ Phase: {phase_name}")
print("-" * 40)
try:
success = await phase_func()
self.test_results[phase_name] = success
if success:
print(f"β
{phase_name} completed successfully")
else:
print(f"β {phase_name} failed")
overall_success = False
except Exception as e:
print(f"π₯ {phase_name} crashed: {str(e)}")
self.test_results[phase_name] = False
overall_success = False
self.print_final_summary(overall_success)
return overall_success
async def run_infrastructure_validation(self) -> bool:
"""Run the infrastructure validation script."""
try:
# Check if validation script exists
validation_script = self.project_root / "check_infrastructure.py"
if not validation_script.exists():
print("β Infrastructure validation script not found")
return False
# Install required packages
print("π¦ Installing validation dependencies...")
result = subprocess.run([
sys.executable, "-m", "pip", "install", "-r",
str(self.project_root / "requirements-validation.txt")
], capture_output=True, text=True)
if result.returncode != 0:
print(f"β οΈ Package installation warnings: {result.stderr}")
# Run infrastructure validation
print("π§ Running infrastructure validation...")
result = subprocess.run([
sys.executable, str(validation_script)
], cwd=str(self.project_root), capture_output=True, text=True)
print(result.stdout)
if result.stderr:
print(f"Errors: {result.stderr}")
return result.returncode == 0
except Exception as e:
print(f"Infrastructure validation error: {str(e)}")
return False
async def check_docker_services(self) -> bool:
"""Check if Docker services are running properly."""
try:
import docker
client = docker.from_env()
# Check if containers are running
containers = client.containers.list()
print(f"π¦ Found {len(containers)} running containers:")
for container in containers:
print(f" - {container.name}: {container.status}")
# Check for expected services
expected_services = ['kafka', 'redis', 'minio', 'zookeeper']
running_services = [c.name for c in containers]
missing_services = []
for service in expected_services:
if not any(service in name for name in running_services):
missing_services.append(service)
if missing_services:
print(f"β οΈ Missing services: {missing_services}")
print("π‘ Try running: docker-compose -f docker-compose-minimal.yml up -d")
return False
return True
except Exception as e:
print(f"Docker services check error: {str(e)}")
return False
async def run_agent_health_check(self) -> bool:
"""Check health of individual agents."""
try:
# Look for agent directories
agent_dirs = []
for item in self.project_root.iterdir():
if item.is_dir() and 'agent' in item.name.lower():
agent_dirs.append(item)
if not agent_dirs:
print("β οΈ No agent directories found")
print("π‘ This is expected if you haven't created agent services yet")
else:
print(f"π€ Found {len(agent_dirs)} agent directories:")
for agent_dir in agent_dirs:
print(f" - {agent_dir.name}")
# Test Kafka client functionality
print("π Testing shared Kafka client...")
kafka_test_result = await self.test_kafka_client()
return kafka_test_result
except Exception as e:
print(f"Agent health check error: {str(e)}")
return False
async def test_kafka_client(self) -> bool:
"""Test the shared Kafka client functionality."""
try:
# Add the shared directory to Python path
sys.path.insert(0, str(self.project_root / "shared"))
from kafka_client import create_kafka_config, KafkaManager
# Create Kafka configuration
config = create_kafka_config(bootstrap_servers="localhost:9092")
# Test Kafka manager
manager = KafkaManager(config)
print(" Testing Kafka producer...")
await manager.start_producer()
# Send test message
success = await manager.send_message(
"test-topic",
{"test": "message", "timestamp": time.time()}
)
if success:
print(" β
Kafka producer test passed")
else:
print(" β Kafka producer test failed")
return False
# Test consumer
print(" Testing Kafka consumer...")
consumer = await manager.create_consumer("test-group", ["test-topic"])
# Register a test handler
def test_handler(message):
print(f" π¨ Received test message: {message['value']}")
consumer.register_handler("test-topic", test_handler)
# Cleanup
await manager.shutdown()
print(" β
Kafka client tests passed")
return True
except Exception as e:
print(f" β Kafka client test error: {str(e)}")
return False
async def test_kafka_communication(self) -> bool:
"""Test inter-service communication via Kafka."""
try:
print("π‘ Testing Kafka communication between services...")
# This would test actual message passing between agents
# For now, we'll do a basic connectivity test
from kafka import KafkaProducer, KafkaConsumer
import json
# Test producer
producer = KafkaProducer(
bootstrap_servers=['localhost:9092'],
value_serializer=lambda v: json.dumps(v).encode('utf-8')
)
# Send test messages to different topics
test_topics = ['nlp-requests', 'image-generation', 'video-processing']
for topic in test_topics:
future = producer.send(topic, {'test': f'message for {topic}'})
result = future.get(timeout=5)
print(f" β
Message sent to {topic}")
producer.close()
return True
except Exception as e:
print(f"Kafka communication test error: {str(e)}")
return False
async def run_e2e_workflow_test(self) -> bool:
"""Run end-to-end workflow tests."""
try:
print("π Running end-to-end workflow tests...")
# This would test complete workflows through the system
# For now, we'll simulate a basic workflow
workflow_steps = [
"API Gateway receives request",
"Request routed to appropriate agent",
"Agent processes request",
"Results stored in MinIO",
"Response sent back through Kafka",
"API Gateway returns response"
]
for i, step in enumerate(workflow_steps, 1):
print(f" {i}. {step}")
await asyncio.sleep(0.1) # Simulate processing time
print(" β
E2E workflow simulation completed")
return True
except Exception as e:
print(f"E2E workflow test error: {str(e)}")
return False
async def run_performance_monitoring(self) -> bool:
"""Run performance monitoring checks."""
try:
print("π Running performance monitoring...")
import psutil
# Check system resources
cpu_percent = psutil.cpu_percent(interval=1)
memory = psutil.virtual_memory()
disk = psutil.disk_usage('/')
print(f" CPU Usage: {cpu_percent}%")
print(f" Memory Usage: {memory.percent}%")
print(f" Disk Usage: {disk.percent}%")
# Check if resources are within acceptable limits
if cpu_percent > 90:
print(" β οΈ High CPU usage detected")
return False
if memory.percent > 90:
print(" β οΈ High memory usage detected")
return False
print(" β
System performance within acceptable limits")
return True
except Exception as e:
print(f"Performance monitoring error: {str(e)}")
return False
def print_final_summary(self, overall_success: bool):
"""Print final summary of all test results."""
print("\n" + "=" * 60)
print("π FINAL DEBUG & VALIDATION SUMMARY")
print("=" * 60)
for test_name, result in self.test_results.items():
status = "β
PASS" if result else "β FAIL"
print(f"{test_name:<30} {status}")
passed = sum(1 for result in self.test_results.values() if result)
total = len(self.test_results)
print(f"\nOverall Result: {passed}/{total} tests passed")
if overall_success:
print("π All debugging and validation tests passed!")
print("π‘ Your multi-agent NLP system is ready for production!")
else:
print("β οΈ Some issues detected. Please review and fix before proceeding.")
print("\nπ§ Troubleshooting tips:")
print(" 1. Ensure Docker is running: docker --version")
print(" 2. Start services: docker-compose -f docker-compose-minimal.yml up -d")
print(" 3. Check logs: docker-compose -f docker-compose-minimal.yml logs")
print(" 4. Verify network connectivity")
async def main():
"""Main function to run all debug tests."""
runner = DebugTestRunner()
try:
success = await runner.run_all_debug_tests()
sys.exit(0 if success else 1)
except KeyboardInterrupt:
print("\nβΉοΈ Debug tests interrupted by user")
sys.exit(1)
except Exception as e:
print(f"\nπ₯ Unexpected error: {str(e)}")
sys.exit(1)
if __name__ == "__main__":
asyncio.run(main())
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