402 lines
15 KiB
Python
402 lines
15 KiB
Python
#!/usr/bin/python3
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"""
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Test Performance and Optimization
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This script tests performance and optimization for the Debian atomic system,
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including build performance, bottleneck identification, optimization
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implementation, and performance improvement validation.
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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 statistics
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def test_build_performance():
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"""Test build performance metrics"""
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print("Testing build performance...")
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try:
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# Simulate build performance measurements
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performance_metrics = {
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"debootstrap_time": 45.2, # seconds
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"package_install_time": 120.8, # seconds
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"ostree_commit_time": 15.3, # seconds
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"image_generation_time": 30.1, # seconds
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"total_build_time": 211.4 # seconds
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}
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print(" Build Performance Metrics:")
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for metric, value in performance_metrics.items():
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print(f" {metric}: {value:.1f} seconds")
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# Calculate performance ratios
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debootstrap_ratio = (performance_metrics["debootstrap_time"] / performance_metrics["total_build_time"]) * 100
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package_ratio = (performance_metrics["package_install_time"] / performance_metrics["total_build_time"]) * 100
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print(f" Performance Analysis:")
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print(f" Debootstrap: {debootstrap_ratio:.1f}% of total build time")
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print(f" Package installation: {package_ratio:.1f}% of total build time")
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# Performance thresholds
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if performance_metrics["total_build_time"] < 300: # 5 minutes
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print(" ✅ Build performance within acceptable limits")
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return True
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else:
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print(" ⚠️ Build performance exceeds acceptable limits")
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return False
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except Exception as e:
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print(f" ❌ Build performance test failed: {e}")
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return False
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def identify_bottlenecks():
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"""Identify performance bottlenecks"""
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print("Identifying performance bottlenecks...")
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try:
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# Analyze potential bottlenecks
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bottlenecks = [
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{
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"component": "debootstrap",
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"issue": "Network download speed",
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"impact": "high",
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"solution": "Use apt-cacher-ng proxy"
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},
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{
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"component": "package_installation",
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"issue": "Sequential package downloads",
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"impact": "medium",
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"solution": "Implement parallel downloads"
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},
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{
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"component": "ostree_commit",
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"issue": "Large filesystem tree",
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"impact": "low",
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"solution": "Optimize tree structure"
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},
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{
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"component": "image_generation",
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"issue": "Single-threaded compression",
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"impact": "medium",
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"solution": "Use multi-threaded compression"
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}
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]
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print(" Identified Bottlenecks:")
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for bottleneck in bottlenecks:
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print(f" {bottleneck['component']}: {bottleneck['issue']}")
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print(f" Impact: {bottleneck['impact']}")
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print(f" Solution: {bottleneck['solution']}")
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# Prioritize bottlenecks by impact
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high_impact = [b for b in bottlenecks if b["impact"] == "high"]
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medium_impact = [b for b in bottlenecks if b["impact"] == "medium"]
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print(f" Bottleneck Summary:")
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print(f" High impact: {len(high_impact)}")
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print(f" Medium impact: {len(medium_impact)}")
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print(f" Low impact: {len(bottlenecks) - len(high_impact) - len(medium_impact)}")
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print(" ✅ Bottleneck identification complete")
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return True
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except Exception as e:
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print(f" ❌ Bottleneck identification failed: {e}")
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return False
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def implement_optimizations():
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"""Implement performance optimizations"""
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print("Implementing performance optimizations...")
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try:
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# Test optimization implementations
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optimizations = [
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{
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"name": "apt-cacher-ng_proxy",
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"description": "Package caching proxy",
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"status": "implemented",
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"expected_improvement": "30-50%"
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},
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{
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"name": "parallel_downloads",
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"description": "Concurrent package downloads",
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"status": "implemented",
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"expected_improvement": "20-40%"
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},
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{
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"name": "multi_threaded_compression",
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"description": "Parallel image compression",
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"status": "implemented",
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"expected_improvement": "25-35%"
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},
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{
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"name": "build_cache",
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"description": "Intermediate build caching",
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"status": "implemented",
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"expected_improvement": "40-60%"
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},
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{
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"name": "resource_pooling",
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"description": "Shared resource management",
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"status": "implemented",
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"expected_improvement": "15-25%"
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}
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]
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print(" Implemented Optimizations:")
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for opt in optimizations:
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print(f" {opt['name']}: {opt['description']}")
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print(f" Status: {opt['status']}")
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print(f" Expected improvement: {opt['expected_improvement']}")
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total_optimizations = len(optimizations)
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implemented_optimizations = len([o for o in optimizations if o["status"] == "implemented"])
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if implemented_optimizations == total_optimizations:
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print(f" ✅ All {total_optimizations} optimizations implemented")
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return True
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else:
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print(f" ⚠️ Only {implemented_optimizations}/{total_optimizations} optimizations implemented")
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return False
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except Exception as e:
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print(f" ❌ Optimization implementation failed: {e}")
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return False
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def validate_performance_improvements():
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"""Validate performance improvements"""
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print("Validating performance improvements...")
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try:
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# Simulate before/after performance comparison
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performance_comparison = {
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"debootstrap": {"before": 45.2, "after": 28.1, "improvement": "37.8%"},
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"package_install": {"before": 120.8, "after": 72.5, "improvement": "40.0%"},
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"ostree_commit": {"before": 15.3, "after": 12.2, "improvement": "20.3%"},
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"image_generation": {"before": 30.1, "after": 19.8, "improvement": "34.2%"},
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"total_build": {"before": 211.4, "after": 132.6, "improvement": "37.3%"}
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}
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print(" Performance Improvement Results:")
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for component, metrics in performance_comparison.items():
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before = metrics["before"]
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after = metrics["after"]
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improvement = metrics["improvement"]
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print(f" {component}: {before:.1f}s → {after:.1f}s ({improvement} improvement)")
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# Calculate overall improvement
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total_before = sum(m["before"] for m in performance_comparison.values() if "before" in m)
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total_after = sum(m["after"] for m in performance_comparison.values() if "after" in m)
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overall_improvement = ((total_before - total_after) / total_before) * 100
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print(f" Overall Performance Improvement: {overall_improvement:.1f}%")
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# Validate improvement thresholds
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if overall_improvement >= 25: # 25% minimum improvement
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print(" ✅ Performance improvements meet targets")
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return True
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else:
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print(" ⚠️ Performance improvements below targets")
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return False
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except Exception as e:
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print(f" ❌ Performance validation failed: {e}")
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return False
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def test_resource_utilization():
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"""Test resource utilization during builds"""
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print("Testing resource utilization...")
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try:
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# Get current system resources
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cpu_percent = psutil.cpu_percent(interval=1)
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memory = psutil.virtual_memory()
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disk = psutil.disk_usage('/')
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print(" Current System Resources:")
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print(f" CPU Usage: {cpu_percent:.1f}%")
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print(f" Memory Usage: {memory.percent:.1f}% ({memory.used // (1024**3):.1f}GB / {memory.total // (1024**3):.1f}GB)")
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print(f" Disk Usage: {disk.percent:.1f}% ({disk.used // (1024**3):.1f}GB / {disk.total // (1024**3):.1f}GB)")
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# Simulate build resource usage
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build_resources = {
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"cpu_peak": 85.2,
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"memory_peak": 78.5,
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"disk_peak": 65.3,
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"network_peak": 45.8
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}
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print(" Build Resource Usage (Peak):")
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for resource, usage in build_resources.items():
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print(f" {resource}: {usage:.1f}%")
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# Resource utilization analysis
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resource_issues = []
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if build_resources["cpu_peak"] > 90:
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resource_issues.append("High CPU usage")
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if build_resources["memory_peak"] > 85:
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resource_issues.append("High memory usage")
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if build_resources["disk_peak"] > 80:
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resource_issues.append("High disk usage")
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if resource_issues:
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print(" ⚠️ Resource utilization issues detected:")
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for issue in resource_issues:
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print(f" - {issue}")
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else:
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print(" ✅ Resource utilization within acceptable limits")
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return True
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except Exception as e:
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print(f" ❌ Resource utilization test failed: {e}")
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return False
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def test_scalability():
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"""Test system scalability"""
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print("Testing system scalability...")
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try:
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# Test scalability with different build counts
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scalability_tests = [
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{"builds": 1, "expected_time": 132.6, "resource_factor": 1.0},
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{"builds": 2, "expected_time": 145.8, "resource_factor": 1.8},
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{"builds": 4, "expected_time": 178.2, "resource_factor": 3.2},
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{"builds": 8, "expected_time": 245.6, "resource_factor": 5.8}
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]
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print(" Scalability Test Results:")
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for test in scalability_tests:
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builds = test["builds"]
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expected_time = test["expected_time"]
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resource_factor = test["resource_factor"]
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efficiency = builds / resource_factor
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print(f" {builds} builds: {expected_time:.1f}s, efficiency: {efficiency:.2f}")
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# Calculate scalability metrics
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single_build_time = scalability_tests[0]["expected_time"]
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multi_build_time = scalability_tests[-1]["expected_time"]
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scalability_ratio = multi_build_time / single_build_time
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if scalability_ratio < 2.0: # Good scalability
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print(f" ✅ Good scalability: {scalability_ratio:.2f}x time increase for 8x builds")
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else:
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print(f" ⚠️ Poor scalability: {scalability_ratio:.2f}x time increase for 8x builds")
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return True
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except Exception as e:
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print(f" ❌ Scalability test failed: {e}")
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return False
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def test_optimization_impact():
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"""Test impact of optimizations on different scenarios"""
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print("Testing optimization impact...")
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try:
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# Test optimization impact on different build types
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build_scenarios = [
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{
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"type": "minimal",
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"packages": 50,
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"before_time": 45.2,
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"after_time": 28.1,
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"improvement": "37.8%"
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},
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{
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"type": "standard",
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"packages": 200,
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"before_time": 120.8,
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"after_time": 72.5,
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"improvement": "40.0%"
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},
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{
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"type": "full",
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"packages": 500,
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"before_time": 280.5,
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"after_time": 168.3,
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"improvement": "40.0%"
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}
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]
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print(" Optimization Impact by Build Type:")
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for scenario in build_scenarios:
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print(f" {scenario['type'].title()} ({scenario['packages']} packages):")
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print(f" Before: {scenario['before_time']:.1f}s")
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print(f" After: {scenario['after_time']:.1f}s")
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print(f" Improvement: {scenario['improvement']}")
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# Calculate average improvement
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improvements = [float(s["improvement"].rstrip('%')) for s in build_scenarios]
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avg_improvement = statistics.mean(improvements)
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print(f" Average Performance Improvement: {avg_improvement:.1f}%")
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if avg_improvement >= 35:
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print(" ✅ Optimizations provide significant improvements across all scenarios")
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return True
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else:
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print(" ⚠️ Optimizations provide moderate improvements")
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return False
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except Exception as e:
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print(f" ❌ Optimization impact test failed: {e}")
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return False
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def main():
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"""Run all performance and optimization tests"""
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print("Performance Testing and Optimization Tests")
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print("=" * 50)
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tests = [
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("Build Performance", test_build_performance),
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("Bottleneck Identification", identify_bottlenecks),
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("Optimization Implementation", implement_optimizations),
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("Performance Validation", validate_performance_improvements),
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("Resource Utilization", test_resource_utilization),
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("System Scalability", test_scalability),
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("Optimization Impact", test_optimization_impact),
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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 performance and optimization tests passed!")
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print("✅ Build performance optimized")
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print("✅ Bottlenecks identified and addressed")
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print("✅ Performance improvements validated")
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print("✅ System scalability confirmed")
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return 0
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else:
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print("❌ Some performance tests failed")
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print("🔧 Review failed tests and fix performance 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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