refactor: consolidate blockchain explorer into single app and update backup ignore patterns
- Remove standalone explorer-web app (README, HTML, package files) - Add /web endpoint to blockchain-explorer for web interface access - Update .gitignore to exclude application backup archives (*.tar.gz, *.zip) - Add backup documentation files to .gitignore (BACKUP_INDEX.md, README.md) - Consolidate explorer functionality into main blockchain-explorer application
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oib
148
cli/tests/multichain/test_analytics_complete.py
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148
cli/tests/multichain/test_analytics_complete.py
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#!/usr/bin/env python3
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"""
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Complete analytics workflow test
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"""
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import sys
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import os
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import asyncio
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import json
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sys.path.insert(0, '/home/oib/windsurf/aitbc/cli')
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from aitbc_cli.core.config import load_multichain_config
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from aitbc_cli.core.analytics import ChainAnalytics
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async def test_complete_analytics_workflow():
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"""Test the complete analytics workflow"""
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print("🚀 Starting Complete Analytics Workflow Test")
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# Load configuration
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config = load_multichain_config('/home/oib/windsurf/aitbc/cli/multichain_config.yaml')
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print(f"✅ Configuration loaded with {len(config.nodes)} nodes")
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# Initialize analytics
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analytics = ChainAnalytics(config)
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print("✅ Analytics system initialized")
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# Test 1: Collect metrics from all chains
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print("\n📊 Testing Metrics Collection...")
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all_metrics = await analytics.collect_all_metrics()
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print(f" ✅ Collected metrics for {len(all_metrics)} chains")
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total_metrics = sum(len(metrics) for metrics in all_metrics.values())
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print(f" ✅ Total data points collected: {total_metrics}")
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# Test 2: Performance summaries
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print("\n📈 Testing Performance Summaries...")
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for chain_id in list(all_metrics.keys())[:3]: # Test first 3 chains
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summary = analytics.get_chain_performance_summary(chain_id, 24)
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if summary:
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print(f" ✅ {chain_id}: Health Score {summary['health_score']:.1f}/100")
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print(f" TPS: {summary['statistics']['tps']['avg']:.2f}")
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print(f" Block Time: {summary['statistics']['block_time']['avg']:.2f}s")
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# Test 3: Cross-chain analysis
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print("\n🔍 Testing Cross-Chain Analysis...")
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analysis = analytics.get_cross_chain_analysis()
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print(f" ✅ Total Chains: {analysis['total_chains']}")
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print(f" ✅ Active Chains: {analysis['active_chains']}")
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print(f" ✅ Total Memory Usage: {analysis['resource_usage']['total_memory_mb']:.1f}MB")
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print(f" ✅ Total Disk Usage: {analysis['resource_usage']['total_disk_mb']:.1f}MB")
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print(f" ✅ Total Clients: {analysis['resource_usage']['total_clients']}")
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print(f" ✅ Total Agents: {analysis['resource_usage']['total_agents']}")
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# Test 4: Health scores
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print("\n💚 Testing Health Score Calculation...")
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for chain_id, health_score in analytics.health_scores.items():
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status = "Excellent" if health_score > 80 else "Good" if health_score > 60 else "Fair" if health_score > 40 else "Poor"
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print(f" ✅ {chain_id}: {health_score:.1f}/100 ({status})")
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# Test 5: Alerts
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print("\n🚨 Testing Alert System...")
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if analytics.alerts:
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print(f" ✅ Generated {len(analytics.alerts)} alerts")
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critical_alerts = [a for a in analytics.alerts if a.severity == "critical"]
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warning_alerts = [a for a in analytics.alerts if a.severity == "warning"]
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print(f" Critical: {len(critical_alerts)}")
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print(f" Warning: {len(warning_alerts)}")
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# Show recent alerts
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for alert in analytics.alerts[-3:]:
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print(f" • {alert.chain_id}: {alert.message}")
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else:
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print(" ✅ No alerts generated (all systems healthy)")
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# Test 6: Performance predictions
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print("\n🔮 Testing Performance Predictions...")
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for chain_id in list(all_metrics.keys())[:2]: # Test first 2 chains
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predictions = await analytics.predict_chain_performance(chain_id, 24)
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if predictions:
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print(f" ✅ {chain_id}: {len(predictions)} predictions")
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for pred in predictions:
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print(f" • {pred.metric}: {pred.predicted_value:.2f} (confidence: {pred.confidence:.1%})")
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else:
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print(f" ⚠️ {chain_id}: Insufficient data for predictions")
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# Test 7: Optimization recommendations
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print("\n⚡ Testing Optimization Recommendations...")
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for chain_id in list(all_metrics.keys())[:2]: # Test first 2 chains
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recommendations = analytics.get_optimization_recommendations(chain_id)
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if recommendations:
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print(f" ✅ {chain_id}: {len(recommendations)} recommendations")
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for rec in recommendations:
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print(f" • {rec['priority']} priority {rec['type']}: {rec['issue']}")
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else:
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print(f" ✅ {chain_id}: No optimizations needed")
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# Test 8: Dashboard data
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print("\n📊 Testing Dashboard Data Generation...")
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dashboard_data = analytics.get_dashboard_data()
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print(f" ✅ Dashboard data generated")
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print(f" Overview metrics: {len(dashboard_data['overview'])}")
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print(f" Chain summaries: {len(dashboard_data['chain_summaries'])}")
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print(f" Recent alerts: {len(dashboard_data['alerts'])}")
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print(f" Predictions: {len(dashboard_data['predictions'])}")
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print(f" Recommendations: {len(dashboard_data['recommendations'])}")
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# Test 9: Performance benchmarks
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print("\n🏆 Testing Performance Benchmarks...")
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if analysis["performance_comparison"]:
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# Find best performing chain
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best_chain = max(analysis["performance_comparison"].items(),
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key=lambda x: x[1]["health_score"])
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print(f" ✅ Best Performing Chain: {best_chain[0]}")
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print(f" Health Score: {best_chain[1]['health_score']:.1f}/100")
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print(f" TPS: {best_chain[1]['tps']:.2f}")
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print(f" Block Time: {best_chain[1]['block_time']:.2f}s")
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# Find chains needing attention
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attention_chains = [cid for cid, data in analysis["performance_comparison"].items()
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if data["health_score"] < 50]
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if attention_chains:
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print(f" ⚠️ Chains Needing Attention: {len(attention_chains)}")
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for chain_id in attention_chains[:3]:
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health = analysis["performance_comparison"][chain_id]["health_score"]
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print(f" • {chain_id}: {health:.1f}/100")
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print("\n🎉 Complete Analytics Workflow Test Finished!")
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print("📊 Summary:")
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print(" ✅ Metrics collection and storage working")
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print(" ✅ Performance analysis and summaries functional")
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print(" ✅ Cross-chain analytics operational")
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print(" ✅ Health scoring system active")
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print(" ✅ Alert generation and monitoring working")
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print(" ✅ Performance predictions available")
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print(" ✅ Optimization recommendations generated")
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print(" ✅ Dashboard data aggregation complete")
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print(" ✅ Performance benchmarking functional")
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# Performance metrics
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print(f"\n📈 Current System Metrics:")
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print(f" • Total Chains Monitored: {analysis['total_chains']}")
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print(f" • Active Chains: {analysis['active_chains']}")
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print(f" • Average Health Score: {sum(analytics.health_scores.values()) / len(analytics.health_scores) if analytics.health_scores else 0:.1f}/100")
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print(f" • Total Alerts: {len(analytics.alerts)}")
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print(f" • Resource Usage: {analysis['resource_usage']['total_memory_mb']:.1f}MB memory, {analysis['resource_usage']['total_disk_mb']:.1f}MB disk")
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if __name__ == "__main__":
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asyncio.run(test_complete_analytics_workflow())
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