feat: delete all GPU and performance test files

GPU AND PERFORMANCE TEST CLEANUP: Complete removal of GPU and performance testing

Files Deleted:
1. Coordinator API Performance Tests:
   - apps/coordinator-api/performance_test.py
   - Tests for API response time and ML-ZK performance
   - Required running server instances

2. Scripts Testing Performance Files:
   - scripts/testing/debug_performance_test.py
   - scripts/testing/performance_test.py
   - scripts/testing/simple_performance_test.py
   - Various performance testing utilities and benchmarks

3. GPU Testing Workflow:
   - .windsurf/workflows/ollama-gpu-test.md
   - GPU testing workflow documentation

Rationale:
- Performance tests require running server instances
- GPU tests have complex dependencies and setup requirements
- These tests don't align with the streamlined CI workflow
- Focus on core functional testing rather than performance benchmarks
- Simplifies test suite and improves CI reliability

Impact:
- Reduces test complexity and dependencies
- Eliminates server-dependent test failures
- Streamlines CI workflow for faster execution
- Maintains focus on functional test coverage
- Removes performance testing bottlenecks

This cleanup continues the optimization strategy of maintaining
only functional, reliable tests that can run in CI environments
without complex dependencies or external services.

apps/coordinator-api/performance_test.py

@@ -1,128 +0,0 @@
-#!/usr/bin/env python3
-"""
-AITBC Phase 5 Performance Testing Script
-Tests system performance for production deployment requirements
-"""
-
-import time
-import requests
-import statistics
-import concurrent.futures
-import sys
-import os
-
-def test_api_response_time():
-    """Test API response times"""
-    print("⚡ Testing API Response Time...")
-    response_times = []
-    
-    for i in range(10):
-        start_time = time.time()
-        response = requests.get('http://127.0.0.1:8000/health/live', timeout=5)
-        end_time = time.time()
-        if response.status_code == 200:
-            response_times.append((end_time - start_time) * 1000)  # Convert to ms
-    
-    if response_times:
-        avg_time = statistics.mean(response_times)
-        min_time = min(response_times)
-        max_time = max(response_times)
-        
-        print(f"✅ API Response Time: PASSED")
-        print(f"   Average: {avg_time:.2f}ms")
-        print(f"   Min: {min_time:.2f}ms")
-        print(f"   Max: {max_time:.2f}ms")
-        
-        if avg_time < 200:  # Target: <200ms
-            print("   ✅ Performance Target Met")
-            return True
-        else:
-            print("   ⚠️  Performance Target Not Met")
-            return False
-    return False
-
-def test_concurrent_load():
-    """Test concurrent load handling"""
-    print("\n🔄 Testing Concurrent Load...")
-    
-    def make_request():
-        try:
-            response = requests.get('http://127.0.0.1:8000/health/live', timeout=5)
-            return response.status_code == 200
-        except:
-            return False
-    
-    start_time = time.time()
-    with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
-        futures = [executor.submit(make_request) for _ in range(50)]
-        results = [f.result() for f in futures]
-    end_time = time.time()
-    
-    success_rate = sum(results) / len(results) * 100
-    total_time = end_time - start_time
-    
-    print(f"✅ Concurrent Load Testing: PASSED")
-    print(f"   Requests: 50")
-    print(f"   Success Rate: {success_rate:.1f}%")
-    print(f"   Total Time: {total_time:.2f}s")
-    print(f"   Requests/sec: {50/total_time:.1f}")
-    
-    return success_rate > 95  # Target: 95%+ success rate
-
-def test_ml_zk_performance():
-    """Test ML-ZK circuit performance"""
-    print("\n🤖 Testing ML-ZK Circuit Performance...")
-    
-    start_time = time.time()
-    response = requests.get('http://127.0.0.1:8000/v1/ml-zk/circuits', timeout=5)
-    end_time = time.time()
-    
-    if response.status_code == 200:
-        response_time = (end_time - start_time) * 1000
-        circuits = response.json()['circuits']
-        print(f"✅ ML-ZK Circuit Performance: PASSED")
-        print(f"   Response Time: {response_time:.2f}ms")
-        print(f"   Circuits Returned: {len(circuits)}")
-        
-        if response_time < 500:  # Target: <500ms for complex endpoint
-            print("   ✅ Performance Target Met")
-            return True
-        else:
-            print("   ⚠️  Performance Target Not Met")
-            return False
-    return False
-
-def main():
-    """Run all performance tests"""
-    print("🚀 Phase 5.1 Performance Testing - Starting Now!")
-    print("=" * 60)
-    
-    tests = [
-        test_api_response_time,
-        test_concurrent_load,
-        test_ml_zk_performance
-    ]
-    
-    results = []
-    for test in tests:
-        results.append(test())
-    
-    print("\n" + "=" * 60)
-    print("🎯 Performance Testing Summary:")
-    
-    passed = sum(results)
-    total = len(results)
-    
-    print(f"   Tests Passed: {passed}/{total}")
-    print(f"   Success Rate: {(passed/total)*100:.1f}%")
-    
-    if passed == total:
-        print("\n🚀 Phase 5.1 Performance Testing: COMPLETED!")
-        print("📋 System meets production performance requirements!")
-        return 0
-    else:
-        print("\n⚠️  Some performance tests failed.")
-        return 1
-
-if __name__ == "__main__":
-    sys.exit(main())

scripts/testing/debug_performance_test.py

@@ -1,160 +0,0 @@
-#!/usr/bin/env python3
-"""
-Simple Performance Test with Debugging and Timeout
-"""
-
-import time
-import requests
-import signal
-import sys
-from typing import Dict, List
-
-class TimeoutError(Exception):
-    pass
-
-def timeout_handler(signum, frame):
-    raise TimeoutError("Operation timed out")
-
-def test_endpoint_with_timeout(url: str, method: str = "GET", data: Dict = None, timeout: int = 5) -> Dict:
-    """Test single endpoint with timeout and debugging"""
-    print(f"🔍 Testing {method} {url}")
-    
-    # Set timeout
-    signal.signal(signal.SIGALRM, timeout_handler)
-    signal.alarm(timeout)
-    
-    try:
-        start_time = time.time()
-        
-        if method == "GET":
-            response = requests.get(url, timeout=timeout)
-        elif method == "POST":
-            response = requests.post(url, json=data, timeout=timeout)
-        
-        end_time = time.time()
-        signal.alarm(0)  # Cancel timeout
-        
-        response_time_ms = (end_time - start_time) * 1000
-        
-        result = {
-            "url": url,
-            "method": method,
-            "status_code": response.status_code,
-            "response_time_ms": response_time_ms,
-            "success": True,
-            "error": None
-        }
-        
-        print(f"✅ Status: {response.status_code}")
-        print(f"⏱️  Response Time: {response_time_ms:.2f}ms")
-        print(f"📄 Response Size: {len(response.content)} bytes")
-        
-        return result
-        
-    except TimeoutError as e:
-        signal.alarm(0)
-        print(f"❌ Timeout: {e}")
-        return {
-            "url": url,
-            "method": method,
-            "status_code": None,
-            "response_time_ms": timeout * 1000,
-            "success": False,
-            "error": str(e)
-        }
-    except Exception as e:
-        signal.alarm(0)
-        print(f"❌ Error: {e}")
-        return {
-            "url": url,
-            "method": method,
-            "status_code": None,
-            "response_time_ms": 0,
-            "success": False,
-            "error": str(e)
-        }
-
-def run_performance_tests():
-    """Run performance tests with debugging"""
-    print("🎯 AITBC GPU Marketplace Performance Test")
-    print("=" * 50)
-    
-    base_url = "http://localhost:8000"
-    results = []
-    
-    # Test 1: Health endpoint
-    print("\n1️⃣ Health Endpoint Test")
-    result = test_endpoint_with_timeout(f"{base_url}/health", timeout=3)
-    results.append(result)
-    
-    # Test 2: GPU List endpoint  
-    print("\n2️⃣ GPU List Endpoint Test")
-    result = test_endpoint_with_timeout(f"{base_url}/v1/marketplace/gpu/list", timeout=5)
-    results.append(result)
-    
-    # Test 3: GPU Booking endpoint
-    print("\n3️⃣ GPU Booking Endpoint Test")
-    booking_data = {"duration_hours": 1}
-    result = test_endpoint_with_timeout(
-        f"{base_url}/v1/marketplace/gpu/gpu_c5be877c/book", 
-        "POST", 
-        booking_data, 
-        timeout=10
-    )
-    results.append(result)
-    
-    # Test 4: GPU Release endpoint
-    print("\n4️⃣ GPU Release Endpoint Test")
-    result = test_endpoint_with_timeout(
-        f"{base_url}/v1/marketplace/gpu/gpu_c5be877c/release", 
-        "POST", 
-        timeout=10
-    )
-    results.append(result)
-    
-    # Summary
-    print("\n📊 PERFORMANCE SUMMARY")
-    print("=" * 50)
-    
-    successful_tests = sum(1 for r in results if r["success"])
-    total_tests = len(results)
-    
-    print(f"✅ Successful Tests: {successful_tests}/{total_tests} ({successful_tests/total_tests*100:.1f}%)")
-    
-    print(f"\n📈 Response Times:")
-    for result in results:
-        if result["success"]:
-            status = "🟢" if result["response_time_ms"] < 100 else "🟡" if result["response_time_ms"] < 200 else "🔴"
-            endpoint = result['url'].split('/')[-1] if '/' in result['url'] else result['url']
-            print(f"   {status} {result['method']} {endpoint}: {result['response_time_ms']:.2f}ms")
-        else:
-            endpoint = result['url'].split('/')[-1] if '/' in result['url'] else result['url']
-            print(f"   ❌ {result['method']} {endpoint}: {result['error']}")
-    
-    # Performance grade
-    successful_times = [r["response_time_ms"] for r in results if r["success"]]
-    if successful_times:
-        avg_response_time = sum(successful_times) / len(successful_times)
-        if avg_response_time < 50:
-            grade = "🟢 EXCELLENT"
-        elif avg_response_time < 100:
-            grade = "🟡 GOOD"
-        elif avg_response_time < 200:
-            grade = "🟠 FAIR"
-        else:
-            grade = "🔴 POOR"
-        
-        print(f"\n🎯 Overall Performance: {grade}")
-        print(f"📊 Average Response Time: {avg_response_time:.2f}ms")
-    
-    print(f"\n✅ Performance testing complete!")
-
-if __name__ == "__main__":
-    try:
-        run_performance_tests()
-    except KeyboardInterrupt:
-        print("\n⚠️  Test interrupted by user")
-        sys.exit(1)
-    except Exception as e:
-        print(f"\n❌ Unexpected error: {e}")
-        sys.exit(1)

scripts/testing/performance_test.py

@@ -1,209 +0,0 @@
-#!/usr/bin/env python3
-"""
-Performance Testing Suite for AITBC Platform
-Tests API endpoints, load handling, and system performance
-"""
-
-import asyncio
-import aiohttp
-import time
-import json
-import statistics
-from typing import List, Dict, Any
-from concurrent.futures import ThreadPoolExecutor
-import subprocess
-import sys
-
-class PerformanceTester:
-    def __init__(self, base_url: str = "https://aitbc.bubuit.net/api/v1"):
-        self.base_url = base_url
-        self.api_key = "test_key_16_characters"
-        self.results = []
-        
-    async def single_request(self, session: aiohttp.ClientSession, 
-                           method: str, endpoint: str, **kwargs) -> Dict[str, Any]:
-        """Execute a single API request and measure performance"""
-        start_time = time.time()
-        
-        headers = kwargs.pop('headers', {})
-        headers['X-Api-Key'] = self.api_key
-        
-        try:
-            async with session.request(method, f"{self.base_url}{endpoint}", 
-                                      headers=headers, **kwargs) as response:
-                content = await response.text()
-                end_time = time.time()
-                
-                return {
-                    'endpoint': endpoint,
-                    'method': method,
-                    'status_code': response.status,
-                    'response_time': end_time - start_time,
-                    'content_length': len(content),
-                    'success': response.status < 400
-                }
-        except Exception as e:
-            end_time = time.time()
-            return {
-                'endpoint': endpoint,
-                'method': method,
-                'status_code': 0,
-                'response_time': end_time - start_time,
-                'content_length': 0,
-                'success': False,
-                'error': str(e)
-            }
-    
-    async def load_test_endpoint(self, endpoint: str, method: str = "GET", 
-                               concurrent_users: int = 10, requests_per_user: int = 5,
-                               **kwargs) -> Dict[str, Any]:
-        """Perform load testing on a specific endpoint"""
-        print(f"🧪 Load testing {method} {endpoint} - {concurrent_users} users × {requests_per_user} requests")
-        
-        connector = aiohttp.TCPConnector(limit=100, limit_per_host=100)
-        timeout = aiohttp.ClientTimeout(total=30)
-        
-        async with aiohttp.ClientSession(connector=connector, timeout=timeout) as session:
-            tasks = []
-            for user in range(concurrent_users):
-                for req in range(requests_per_user):
-                    task = self.single_request(session, method, endpoint, **kwargs)
-                    tasks.append(task)
-            
-            results = await asyncio.gather(*tasks, return_exceptions=True)
-            
-            # Filter out exceptions and calculate metrics
-            valid_results = [r for r in results if isinstance(r, dict)]
-            successful_results = [r for r in valid_results if r['success']]
-            
-            response_times = [r['response_time'] for r in successful_results]
-            
-            return {
-                'endpoint': endpoint,
-                'total_requests': len(valid_results),
-                'successful_requests': len(successful_results),
-                'failed_requests': len(valid_results) - len(successful_results),
-                'success_rate': len(successful_results) / len(valid_results) * 100 if valid_results else 0,
-                'avg_response_time': statistics.mean(response_times) if response_times else 0,
-                'min_response_time': min(response_times) if response_times else 0,
-                'max_response_time': max(response_times) if response_times else 0,
-                'median_response_time': statistics.median(response_times) if response_times else 0,
-                'p95_response_time': statistics.quantiles(response_times, n=20)[18] if len(response_times) > 20 else 0,
-                'requests_per_second': len(successful_results) / (max(response_times) - min(response_times)) if len(response_times) > 1 else 0
-            }
-    
-    async def run_performance_tests(self):
-        """Run comprehensive performance tests"""
-        print("🚀 Starting AITBC Platform Performance Tests")
-        print("=" * 60)
-        
-        test_endpoints = [
-            # Health check (baseline)
-            {'endpoint': '/health', 'method': 'GET', 'users': 20, 'requests': 10},
-            
-            # Client endpoints
-            {'endpoint': '/client/jobs', 'method': 'GET', 'users': 5, 'requests': 5},
-            
-            # Miner endpoints  
-            {'endpoint': '/miners/register', 'method': 'POST', 'users': 3, 'requests': 3,
-             'json': {'capabilities': {'gpu': {'model': 'RTX 4090'}}},
-             'headers': {'Content-Type': 'application/json', 'X-Miner-ID': 'perf-test-miner'}},
-            
-            # Blockchain endpoints
-            {'endpoint': '/blockchain/info', 'method': 'GET', 'users': 5, 'requests': 5},
-        ]
-        
-        results = []
-        
-        for test_config in test_endpoints:
-            endpoint = test_config.pop('endpoint')
-            method = test_config.pop('method')
-            
-            result = await self.load_test_endpoint(endpoint, method, **test_config)
-            results.append(result)
-            
-            # Print immediate results
-            print(f"📊 {method} {endpoint}:")
-            print(f"   ✅ Success Rate: {result['success_rate']:.1f}%")
-            print(f"   ⏱️  Avg Response: {result['avg_response_time']:.3f}s")
-            print(f"   📈 RPS: {result['requests_per_second']:.1f}")
-            print(f"   📏 P95: {result['p95_response_time']:.3f}s")
-            print()
-        
-        return results
-    
-    def generate_report(self, results: List[Dict[str, Any]]):
-        """Generate performance test report"""
-        print("📋 PERFORMANCE TEST REPORT")
-        print("=" * 60)
-        
-        total_requests = sum(r['total_requests'] for r in results)
-        total_successful = sum(r['successful_requests'] for r in results)
-        overall_success_rate = (total_successful / total_requests * 100) if total_requests > 0 else 0
-        
-        print(f"📊 Overall Statistics:")
-        print(f"   Total Requests: {total_requests}")
-        print(f"   Successful Requests: {total_successful}")
-        print(f"   Overall Success Rate: {overall_success_rate:.1f}%")
-        print()
-        
-        print(f"🎯 Endpoint Performance:")
-        for result in results:
-            status = "✅" if result['success_rate'] >= 95 else "⚠️" if result['success_rate'] >= 80 else "❌"
-            print(f"   {status} {result['method']} {result['endpoint']}")
-            print(f"      Success: {result['success_rate']:.1f}% | "
-                  f"Avg: {result['avg_response_time']:.3f}s | "
-                  f"P95: {result['p95_response_time']:.3f}s | "
-                  f"RPS: {result['requests_per_second']:.1f}")
-        
-        print()
-        print("🏆 Performance Benchmarks:")
-        print("   ✅ Excellent: <100ms response time, >95% success rate")
-        print("   ⚠️  Good: <500ms response time, >80% success rate") 
-        print("   ❌ Needs Improvement: >500ms or <80% success rate")
-        
-        # Recommendations
-        print()
-        print("💡 Recommendations:")
-        
-        slow_endpoints = [r for r in results if r['avg_response_time'] > 0.5]
-        if slow_endpoints:
-            print("   🐌 Slow endpoints detected - consider optimization:")
-            for r in slow_endpoints:
-                print(f"      - {r['endpoint']} ({r['avg_response_time']:.3f}s avg)")
-        
-        unreliable_endpoints = [r for r in results if r['success_rate'] < 95]
-        if unreliable_endpoints:
-            print("   🔧 Unreliable endpoints detected - check for errors:")
-            for r in unreliable_endpoints:
-                print(f"      - {r['endpoint']} ({r['success_rate']:.1f}% success)")
-        
-        if not slow_endpoints and not unreliable_endpoints:
-            print("   🎉 All endpoints performing well - ready for production!")
-
-async def main():
-    """Main performance testing execution"""
-    tester = PerformanceTester()
-    
-    try:
-        results = await tester.run_performance_tests()
-        tester.generate_report(results)
-        
-        # Return exit code based on performance
-        avg_success_rate = statistics.mean([r['success_rate'] for r in results])
-        avg_response_time = statistics.mean([r['avg_response_time'] for r in results])
-        
-        if avg_success_rate >= 95 and avg_response_time < 0.5:
-            print("\n🎉 PERFORMANCE TESTS PASSED - Ready for production!")
-            return 0
-        else:
-            print("\n⚠️  PERFORMANCE TESTS COMPLETED - Review recommendations")
-            return 1
-            
-    except Exception as e:
-        print(f"❌ Performance test failed: {e}")
-        return 1
-
-if __name__ == "__main__":
-    exit_code = asyncio.run(main())
-    sys.exit(exit_code)

scripts/testing/simple_performance_test.py

@@ -1,168 +0,0 @@
-#!/usr/bin/env python3
-"""
-Simple Performance Testing for AITBC Platform
-"""
-
-import time
-import requests
-import statistics
-from concurrent.futures import ThreadPoolExecutor, as_completed
-import json
-
-class SimplePerformanceTester:
-    def __init__(self, base_url="https://aitbc.bubuit.net/api/v1"):
-        self.base_url = base_url
-        self.api_key = "test_key_16_characters"
-        
-    def test_endpoint(self, method, endpoint, **kwargs):
-        """Test a single endpoint"""
-        start_time = time.time()
-        
-        headers = kwargs.pop('headers', {})
-        headers['X-Api-Key'] = self.api_key
-        
-        try:
-            response = requests.request(method, f"{self.base_url}{endpoint}", 
-                                      headers=headers, timeout=10, **kwargs)
-            end_time = time.time()
-            
-            return {
-                'endpoint': endpoint,
-                'method': method,
-                'status_code': response.status_code,
-                'response_time': end_time - start_time,
-                'success': response.status_code < 400,
-                'content_length': len(response.text)
-            }
-        except Exception as e:
-            end_time = time.time()
-            return {
-                'endpoint': endpoint,
-                'method': method,
-                'status_code': 0,
-                'response_time': end_time - start_time,
-                'success': False,
-                'error': str(e)
-            }
-    
-    def load_test_endpoint(self, method, endpoint, concurrent_users=5, requests_per_user=3, **kwargs):
-        """Load test an endpoint"""
-        print(f"🧪 Testing {method} {endpoint} - {concurrent_users} users × {requests_per_user} requests")
-        
-        def make_request():
-            return self.test_endpoint(method, endpoint, **kwargs)
-        
-        with ThreadPoolExecutor(max_workers=concurrent_users) as executor:
-            futures = []
-            for _ in range(concurrent_users * requests_per_user):
-                future = executor.submit(make_request)
-                futures.append(future)
-            
-            results = []
-            for future in as_completed(futures):
-                result = future.result()
-                results.append(result)
-        
-        successful_results = [r for r in results if r['success']]
-        response_times = [r['response_time'] for r in successful_results]
-        
-        return {
-            'endpoint': endpoint,
-            'total_requests': len(results),
-            'successful_requests': len(successful_results),
-            'failed_requests': len(results) - len(successful_results),
-            'success_rate': len(successful_results) / len(results) * 100 if results else 0,
-            'avg_response_time': statistics.mean(response_times) if response_times else 0,
-            'min_response_time': min(response_times) if response_times else 0,
-            'max_response_time': max(response_times) if response_times else 0,
-            'median_response_time': statistics.median(response_times) if response_times else 0,
-        }
-    
-    def run_tests(self):
-        """Run performance tests"""
-        print("🚀 AITBC Platform Performance Tests")
-        print("=" * 50)
-        
-        test_cases = [
-            # Health check
-            {'method': 'GET', 'endpoint': '/health', 'users': 10, 'requests': 5},
-            
-            # Client endpoints
-            {'method': 'GET', 'endpoint': '/client/jobs', 'users': 5, 'requests': 3},
-            
-            # Miner endpoints
-            {'method': 'POST', 'endpoint': '/miners/register', 'users': 3, 'requests': 2,
-             'json': {'capabilities': {'gpu': {'model': 'RTX 4090'}}},
-             'headers': {'Content-Type': 'application/json', 'X-Miner-ID': 'perf-test-miner'}},
-        ]
-        
-        results = []
-        
-        for test_case in test_cases:
-            method = test_case.pop('method')
-            endpoint = test_case.pop('endpoint')
-            
-            result = self.load_test_endpoint(method, endpoint, **test_case)
-            results.append(result)
-            
-            # Print results
-            status = "✅" if result['success_rate'] >= 80 else "⚠️" if result['success_rate'] >= 50 else "❌"
-            print(f"{status} {method} {endpoint}:")
-            print(f"   Success Rate: {result['success_rate']:.1f}%")
-            print(f"   Avg Response: {result['avg_response_time']:.3f}s")
-            print(f"   Requests: {result['successful_requests']}/{result['total_requests']}")
-            print()
-        
-        # Generate report
-        self.generate_report(results)
-        return results
-    
-    def generate_report(self, results):
-        """Generate performance report"""
-        print("📋 PERFORMANCE REPORT")
-        print("=" * 50)
-        
-        total_requests = sum(r['total_requests'] for r in results)
-        total_successful = sum(r['successful_requests'] for r in results)
-        overall_success_rate = (total_successful / total_requests * 100) if total_requests > 0 else 0
-        
-        print(f"📊 Overall:")
-        print(f"   Total Requests: {total_requests}")
-        print(f"   Successful: {total_successful}")
-        print(f"   Success Rate: {overall_success_rate:.1f}%")
-        print()
-        
-        print(f"🎯 Endpoint Performance:")
-        for result in results:
-            status = "✅" if result['success_rate'] >= 80 else "⚠️" if result['success_rate'] >= 50 else "❌"
-            print(f"   {status} {result['method']} {result['endpoint']}")
-            print(f"      Success: {result['success_rate']:.1f}% | "
-                  f"Avg: {result['avg_response_time']:.3f}s | "
-                  f"Requests: {result['successful_requests']}/{result['total_requests']}")
-        
-        print()
-        print("💡 Recommendations:")
-        
-        if overall_success_rate >= 80:
-            print("   🎉 Good performance - ready for production!")
-        else:
-            print("   ⚠️  Performance issues detected - review endpoints")
-        
-        slow_endpoints = [r for r in results if r['avg_response_time'] > 1.0]
-        if slow_endpoints:
-            print("   🐌 Slow endpoints:")
-            for r in slow_endpoints:
-                print(f"      - {r['endpoint']} ({r['avg_response_time']:.3f}s)")
-
-if __name__ == "__main__":
-    tester = SimplePerformanceTester()
-    results = tester.run_tests()
-    
-    # Exit code based on performance
-    avg_success_rate = statistics.mean([r['success_rate'] for r in results])
-    if avg_success_rate >= 80:
-        print("\n✅ PERFORMANCE TESTS PASSED")
-        exit(0)
-    else:
-        print("\n⚠️ PERFORMANCE TESTS NEED REVIEW")
-        exit(1)