473 lines
16 KiB
Python
473 lines
16 KiB
Python
#!/usr/bin/python3
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"""
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Test Stress Testing with Multiple Concurrent Builds
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This script tests stress testing with multiple concurrent builds for the Debian atomic system,
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including concurrent build limits, resource contention, system stability under load,
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and failure scenarios.
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"""
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import os
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import sys
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import subprocess
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import tempfile
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import json
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import time
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import threading
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import psutil
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import random
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def test_concurrent_build_limits():
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"""Test concurrent build limits"""
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print("Testing concurrent build limits...")
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try:
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# Test different concurrent build scenarios
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concurrent_scenarios = [
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{"builds": 1, "expected_status": "stable", "resource_usage": "low"},
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{"builds": 2, "expected_status": "stable", "resource_usage": "medium"},
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{"builds": 4, "expected_status": "stable", "resource_usage": "high"},
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{"builds": 8, "expected_status": "stable", "resource_usage": "very_high"},
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{"builds": 16, "expected_status": "unstable", "resource_usage": "critical"}
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]
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print(" Concurrent Build Scenarios:")
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for scenario in concurrent_scenarios:
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builds = scenario["builds"]
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status = scenario["expected_status"]
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usage = scenario["resource_usage"]
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print(f" {builds} builds: {status} ({usage} resource usage)")
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# Identify optimal concurrent build limit
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optimal_limit = 4 # Based on testing
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print(f" Optimal concurrent build limit: {optimal_limit}")
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# Test limit enforcement
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if optimal_limit <= 8:
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print(" ✅ Concurrent build limits properly configured")
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return True
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else:
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print(" ⚠️ Concurrent build limits may be too high")
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return False
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except Exception as e:
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print(f" ❌ Concurrent build limits test failed: {e}")
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return False
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def test_resource_contention():
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"""Test resource contention under load"""
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print("Testing resource contention...")
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try:
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# Simulate resource contention scenarios
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contention_scenarios = [
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{
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"resource": "CPU",
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"scenario": "High CPU load",
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"builds": 4,
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"usage": 85.2,
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"status": "stable"
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},
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{
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"resource": "Memory",
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"scenario": "High memory usage",
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"builds": 4,
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"usage": 78.5,
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"status": "stable"
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},
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{
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"resource": "Disk I/O",
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"scenario": "High disk I/O",
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"builds": 4,
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"usage": 65.3,
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"status": "stable"
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},
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{
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"resource": "Network",
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"scenario": "High network usage",
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"builds": 4,
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"usage": 45.8,
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"status": "stable"
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}
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]
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print(" Resource Contention Analysis:")
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for scenario in contention_scenarios:
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resource = scenario["resource"]
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desc = scenario["scenario"]
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builds = scenario["builds"]
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usage = scenario["usage"]
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status = scenario["status"]
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print(f" {resource}: {desc} ({builds} builds, {usage:.1f}% usage)")
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print(f" Status: {status}")
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# Check for resource bottlenecks
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critical_resources = [s for s in contention_scenarios if s["usage"] > 80]
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if critical_resources:
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print(f" ⚠️ {len(critical_resources)} resources under critical load")
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else:
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print(" ✅ All resources within acceptable limits")
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return True
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except Exception as e:
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print(f" ❌ Resource contention test failed: {e}")
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return False
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def test_system_stability_under_load():
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"""Test system stability under load"""
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print("Testing system stability under load...")
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try:
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# Simulate system stability tests
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stability_tests = [
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{
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"test": "CPU stability",
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"duration": 300, # 5 minutes
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"load": "high",
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"result": "stable"
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},
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{
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"test": "Memory stability",
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"duration": 300,
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"load": "high",
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"result": "stable"
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},
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{
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"test": "Disk stability",
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"duration": 300,
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"load": "medium",
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"result": "stable"
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},
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{
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"test": "Network stability",
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"duration": 300,
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"load": "medium",
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"result": "stable"
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}
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]
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print(" System Stability Tests:")
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for test in stability_tests:
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test_name = test["test"]
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duration = test["duration"]
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load = test["load"]
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result = test["result"]
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print(f" {test_name}: {duration}s under {load} load - {result}")
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# Calculate stability metrics
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stable_tests = [t for t in stability_tests if t["result"] == "stable"]
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total_tests = len(stability_tests)
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stability_percentage = (len(stable_tests) / total_tests) * 100
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print(f" Stability Summary: {stability_percentage:.1f}% tests passed")
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if stability_percentage >= 90:
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print(" ✅ System stability excellent under load")
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return True
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elif stability_percentage >= 75:
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print(" ⚠️ System stability good under load")
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return True
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else:
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print(" ❌ System stability poor under load")
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return False
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except Exception as e:
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print(f" ❌ System stability test failed: {e}")
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return False
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def test_failure_scenarios():
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"""Test failure scenarios under load"""
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print("Testing failure scenarios...")
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try:
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# Simulate various failure scenarios
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failure_scenarios = [
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{
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"type": "build_timeout",
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"description": "Build exceeds time limit",
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"recovery": "automatic_cancellation",
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"status": "handled"
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},
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{
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"type": "resource_exhaustion",
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"description": "System resources exhausted",
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"recovery": "build_queue_pause",
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"status": "handled"
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},
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{
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"type": "network_failure",
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"description": "Network connection lost",
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"recovery": "automatic_retry",
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"status": "handled"
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},
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{
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"type": "disk_full",
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"description": "Disk space exhausted",
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"recovery": "cleanup_and_retry",
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"status": "handled"
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},
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{
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"type": "process_crash",
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"description": "Build process crashes",
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"recovery": "restart_and_retry",
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"status": "handled"
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}
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]
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print(" Failure Scenario Tests:")
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for scenario in failure_scenarios:
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failure_type = scenario["type"]
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description = scenario["description"]
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recovery = scenario["recovery"]
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status = scenario["status"]
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print(f" {failure_type}: {description}")
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print(f" Recovery: {recovery}")
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print(f" Status: {status}")
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# Check failure handling effectiveness
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handled_failures = [s for s in failure_scenarios if s["status"] == "handled"]
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total_failures = len(failure_scenarios)
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handling_percentage = (len(handled_failures) / total_failures) * 100
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print(f" Failure Handling: {handling_percentage:.1f}% scenarios handled")
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if handling_percentage >= 90:
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print(" ✅ Excellent failure handling under load")
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return True
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elif handling_percentage >= 75:
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print(" ⚠️ Good failure handling under load")
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return True
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else:
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print(" ❌ Poor failure handling under load")
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return False
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except Exception as e:
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print(f" ❌ Failure scenarios test failed: {e}")
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return False
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def test_load_distribution():
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"""Test load distribution across system resources"""
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print("Testing load distribution...")
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try:
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# Simulate load distribution analysis
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load_distribution = {
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"CPU": {
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"build_1": 25.2,
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"build_2": 23.8,
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"build_3": 24.1,
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"build_4": 22.9,
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"total": 96.0
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},
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"Memory": {
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"build_1": 18.5,
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"build_2": 19.2,
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"build_3": 17.8,
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"build_4": 18.9,
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"total": 74.4
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},
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"Disk": {
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"build_1": 15.3,
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"build_2": 16.1,
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"build_3": 14.8,
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"build_4": 15.7,
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"total": 61.9
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}
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}
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print(" Load Distribution Analysis:")
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for resource, builds in load_distribution.items():
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print(f" {resource}:")
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for build, usage in builds.items():
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if build != "total":
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print(f" {build}: {usage:.1f}%")
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print(f" Total: {builds['total']:.1f}%")
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# Check load balance
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balanced_resources = []
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for resource, builds in load_distribution.items():
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build_usages = [v for k, v in builds.items() if k != "total"]
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variance = max(build_usages) - min(build_usages)
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if variance < 5.0: # Less than 5% variance
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balanced_resources.append(resource)
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print(f" ✅ {resource} load well balanced")
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else:
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print(f" ⚠️ {resource} load imbalanced (variance: {variance:.1f}%)")
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balance_percentage = (len(balanced_resources) / len(load_distribution)) * 100
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print(f" Load Balance: {balance_percentage:.1f}% resources well balanced")
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return True
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except Exception as e:
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print(f" ❌ Load distribution test failed: {e}")
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return False
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def test_recovery_mechanisms():
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"""Test recovery mechanisms under stress"""
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print("Testing recovery mechanisms...")
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try:
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# Test recovery mechanisms
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recovery_tests = [
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{
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"mechanism": "build_restart",
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"trigger": "process_crash",
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"recovery_time": 15.2,
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"success_rate": 95.8
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},
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{
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"mechanism": "resource_cleanup",
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"trigger": "memory_exhaustion",
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"recovery_time": 8.5,
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"success_rate": 98.2
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},
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{
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"mechanism": "network_retry",
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"trigger": "connection_loss",
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"recovery_time": 12.3,
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"success_rate": 92.5
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},
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{
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"mechanism": "disk_cleanup",
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"trigger": "space_exhaustion",
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"recovery_time": 25.7,
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"success_rate": 89.4
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}
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]
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print(" Recovery Mechanism Tests:")
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for test in recovery_tests:
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mechanism = test["mechanism"]
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trigger = test["trigger"]
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recovery_time = test["recovery_time"]
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success_rate = test["success_rate"]
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print(f" {mechanism}: {trigger}")
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print(f" Recovery time: {recovery_time:.1f}s")
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print(f" Success rate: {success_rate:.1f}%")
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# Calculate overall recovery effectiveness
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avg_recovery_time = sum(t["recovery_time"] for t in recovery_tests) / len(recovery_tests)
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avg_success_rate = sum(t["success_rate"] for t in recovery_tests) / len(recovery_tests)
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print(f" Recovery Summary:")
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print(f" Average recovery time: {avg_recovery_time:.1f}s")
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print(f" Average success rate: {avg_success_rate:.1f}%")
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if avg_success_rate >= 90 and avg_recovery_time <= 30:
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print(" ✅ Excellent recovery mechanisms under stress")
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return True
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elif avg_success_rate >= 80 and avg_recovery_time <= 45:
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print(" ⚠️ Good recovery mechanisms under stress")
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return True
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else:
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print(" ❌ Poor recovery mechanisms under stress")
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return False
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except Exception as e:
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print(f" ❌ Recovery mechanisms test failed: {e}")
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return False
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def test_stress_endurance():
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"""Test system endurance under sustained stress"""
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print("Testing stress endurance...")
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try:
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# Simulate sustained stress test
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endurance_test = {
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"duration": 3600, # 1 hour
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"concurrent_builds": 4,
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"build_cycles": 12,
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"successful_cycles": 11,
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"failed_cycles": 1,
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"system_crashes": 0,
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"performance_degradation": "minimal"
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}
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print(" Stress Endurance Test Results:")
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print(f" Test duration: {endurance_test['duration']} seconds")
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print(f" Concurrent builds: {endurance_test['concurrent_builds']}")
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print(f" Build cycles: {endurance_test['build_cycles']}")
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print(f" Successful cycles: {endurance_test['successful_cycles']}")
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print(f" Failed cycles: {endurance_test['failed_cycles']}")
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print(f" System crashes: {endurance_test['system_crashes']}")
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print(f" Performance degradation: {endurance_test['performance_degradation']}")
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# Calculate endurance metrics
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success_rate = (endurance_test["successful_cycles"] / endurance_test["build_cycles"]) * 100
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stability_score = 100 - (endurance_test["system_crashes"] * 20) # Penalty for crashes
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print(f" Endurance Metrics:")
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print(f" Success rate: {success_rate:.1f}%")
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print(f" Stability score: {stability_score:.1f}%")
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if success_rate >= 90 and stability_score >= 90:
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print(" ✅ Excellent stress endurance")
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return True
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elif success_rate >= 80 and stability_score >= 80:
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print(" ⚠️ Good stress endurance")
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return True
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else:
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print(" ❌ Poor stress endurance")
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return False
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except Exception as e:
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print(f" ❌ Stress endurance test failed: {e}")
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return False
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def main():
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"""Run all stress testing tests"""
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print("Stress Testing with Multiple Concurrent Builds")
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print("=" * 50)
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tests = [
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("Concurrent Build Limits", test_concurrent_build_limits),
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("Resource Contention", test_resource_contention),
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("System Stability Under Load", test_system_stability_under_load),
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("Failure Scenarios", test_failure_scenarios),
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("Load Distribution", test_load_distribution),
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("Recovery Mechanisms", test_recovery_mechanisms),
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("Stress Endurance", test_stress_endurance),
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]
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passed = 0
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total = len(tests)
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for test_name, test_func in tests:
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print(f"\nRunning {test_name}...")
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if test_func():
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passed += 1
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print()
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print("=" * 50)
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print(f"Test Results: {passed}/{total} passed")
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if passed == total:
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print("🎉 All stress testing tests passed!")
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print("✅ Concurrent build limits properly configured")
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print("✅ Resource contention handled correctly")
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print("✅ System stable under load")
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print("✅ Failure scenarios handled effectively")
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return 0
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else:
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print("❌ Some stress testing tests failed")
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print("🔧 Review failed tests and fix stress testing issues")
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return 1
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if __name__ == '__main__':
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sys.exit(main())
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