agentic-qe
Version:
Agentic Quality Engineering Fleet System - AI-driven quality management platform
365 lines (358 loc) ā¢ 16.8 kB
JavaScript
;
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exports.FleetTopologyCommand = void 0;
const chalk_1 = __importDefault(require("chalk"));
const fs = __importStar(require("fs-extra"));
class FleetTopologyCommand {
static async execute(options) {
// Check if fleet is initialized
if (!await fs.pathExists('.agentic-qe/config/fleet.json')) {
throw new Error('Fleet not initialized. Run: aqe fleet init');
}
const fleetConfig = await fs.readJson('.agentic-qe/config/fleet.json');
console.log(chalk_1.default.blue.bold('\nš Fleet Topology Management\n'));
// Handle different modes
if (options.analyze) {
return await this.analyzeTopology(fleetConfig);
}
if (options.optimize) {
return await this.optimizeTopology(fleetConfig);
}
if (options.topology) {
return await this.changeTopology(fleetConfig, options.topology);
}
// Default: Show current topology
return await this.showTopology(fleetConfig);
}
static async changeTopology(fleetConfig, newTopology) {
// Validate topology
if (!this.VALID_TOPOLOGIES.includes(newTopology)) {
throw new Error(`Invalid topology: ${newTopology}. Valid options: ${this.VALID_TOPOLOGIES.join(', ')}`);
}
const oldTopology = fleetConfig.topology;
console.log(chalk_1.default.yellow(`Changing topology from ${oldTopology} to ${newTopology}...\n`));
// Update configuration
fleetConfig.topology = newTopology;
fleetConfig.lastModified = new Date().toISOString();
fleetConfig.topologyChangedAt = new Date().toISOString();
// Save updated configuration
await fs.writeJson('.agentic-qe/config/fleet.json', fleetConfig, { spaces: 2 });
// Generate topology transition script
await this.generateTopologyTransitionScript(oldTopology, newTopology);
console.log(chalk_1.default.green('ā
Topology changed successfully\n'));
// Display topology characteristics
this.displayTopologyInfo(newTopology);
// Store topology change in coordination
await this.storeTopologyChange(oldTopology, newTopology);
return {
oldTopology,
newTopology,
characteristics: this.getTopologyCharacteristics(newTopology),
transitionRequired: true
};
}
static async optimizeTopology(fleetConfig) {
console.log(chalk_1.default.blue('š Analyzing workload for topology optimization...\n'));
// Load agent and task data for analysis
const registryPath = '.agentic-qe/data/registry.json';
let registry = { agents: [], tasks: [] };
if (await fs.pathExists(registryPath)) {
registry = await fs.readJson(registryPath);
}
// Analyze workload patterns
const analysis = this.analyzeWorkloadPattern(registry);
// Recommend optimal topology
const recommendedTopology = this.recommendTopology(analysis, fleetConfig);
console.log(chalk_1.default.blue('š Workload Analysis:'));
console.log(chalk_1.default.gray(` Total Agents: ${analysis.agentCount}`));
console.log(chalk_1.default.gray(` Total Tasks: ${analysis.taskCount}`));
console.log(chalk_1.default.gray(` Communication Pattern: ${analysis.communicationPattern}`));
console.log(chalk_1.default.gray(` Task Complexity: ${analysis.taskComplexity}`));
console.log(chalk_1.default.blue('\nš” Recommendation:'));
console.log(chalk_1.default.green(` Current Topology: ${fleetConfig.topology}`));
console.log(chalk_1.default.green(` Recommended Topology: ${recommendedTopology.topology}`));
console.log(chalk_1.default.gray(` Reason: ${recommendedTopology.reason}`));
if (recommendedTopology.topology !== fleetConfig.topology) {
console.log(chalk_1.default.yellow('\nā ļø Consider changing topology with:'));
console.log(chalk_1.default.gray(` aqe fleet topology --topology ${recommendedTopology.topology}`));
}
else {
console.log(chalk_1.default.green('\nā
Current topology is optimal for workload'));
}
// Store optimization analysis
await this.storeOptimizationAnalysis(analysis, recommendedTopology);
return {
current: fleetConfig.topology,
recommended: recommendedTopology.topology,
analysis
};
}
static async analyzeTopology(fleetConfig) {
console.log(chalk_1.default.blue('š Topology Efficiency Analysis\n'));
const topology = fleetConfig.topology;
const characteristics = this.getTopologyCharacteristics(topology);
// Load performance data
const performanceData = await this.loadPerformanceData();
// Calculate efficiency metrics
const efficiency = this.calculateTopologyEfficiency(topology, performanceData);
// Display analysis results
console.log(chalk_1.default.blue('š Current Topology:'));
console.log(chalk_1.default.gray(` Type: ${topology}`));
console.log(chalk_1.default.gray(` Communication Overhead: ${characteristics.communicationOverhead}`));
console.log(chalk_1.default.gray(` Fault Tolerance: ${characteristics.faultTolerance}`));
console.log(chalk_1.default.gray(` Scalability: ${characteristics.scalability}`));
console.log(chalk_1.default.blue('\nš Efficiency Metrics:'));
console.log(chalk_1.default.gray(` Message Throughput: ${efficiency.messageThroughput} msg/s`));
console.log(chalk_1.default.gray(` Average Latency: ${efficiency.averageLatency}ms`));
console.log(chalk_1.default.gray(` Resource Utilization: ${efficiency.resourceUtilization}%`));
console.log(chalk_1.default.gray(` Coordination Efficiency: ${efficiency.coordinationEfficiency}%`));
// Identify bottlenecks
if (efficiency.bottlenecks.length > 0) {
console.log(chalk_1.default.yellow('\nā ļø Bottlenecks Detected:'));
efficiency.bottlenecks.forEach((bottleneck) => {
console.log(chalk_1.default.yellow(` ā¢ ${bottleneck}`));
});
}
return {
topology,
characteristics,
efficiency
};
}
static async showTopology(fleetConfig) {
const topology = fleetConfig.topology;
console.log(chalk_1.default.blue('š Current Fleet Topology\n'));
console.log(chalk_1.default.gray(` Topology: ${topology}`));
console.log(chalk_1.default.gray(` Max Agents: ${fleetConfig.maxAgents}`));
// Display topology characteristics
this.displayTopologyInfo(topology);
return { topology, maxAgents: fleetConfig.maxAgents };
}
static displayTopologyInfo(topology) {
const chars = this.getTopologyCharacteristics(topology);
console.log(chalk_1.default.blue('\nš Topology Characteristics:'));
console.log(chalk_1.default.gray(` Communication Overhead: ${chars.communicationOverhead}`));
console.log(chalk_1.default.gray(` Fault Tolerance: ${chars.faultTolerance}`));
console.log(chalk_1.default.gray(` Scalability: ${chars.scalability}`));
console.log(chalk_1.default.gray(` Best For: ${chars.bestFor}`));
console.log(chalk_1.default.blue('\nāØ Key Features:'));
chars.features.forEach((feature) => {
console.log(chalk_1.default.gray(` ā¢ ${feature}`));
});
}
static getTopologyCharacteristics(topology) {
const characteristics = {
'hierarchical': {
communicationOverhead: 'Low',
faultTolerance: 'Medium',
scalability: 'High',
bestFor: 'Large fleets with clear task hierarchies',
features: [
'Clear chain of command',
'Efficient resource allocation',
'Good for structured workflows',
'Single point of coordination'
]
},
'mesh': {
communicationOverhead: 'High',
faultTolerance: 'Very High',
scalability: 'Medium',
bestFor: 'Collaborative tasks requiring peer-to-peer communication',
features: [
'Direct agent-to-agent communication',
'High redundancy',
'No single point of failure',
'Best for distributed decision-making'
]
},
'ring': {
communicationOverhead: 'Medium',
faultTolerance: 'Low',
scalability: 'Medium',
bestFor: 'Sequential processing pipelines',
features: [
'Predictable communication pattern',
'Good for pipeline workflows',
'Efficient message passing',
'Circular dependency chain'
]
},
'star': {
communicationOverhead: 'Low',
faultTolerance: 'Low',
scalability: 'High',
bestFor: 'Centralized coordination and control',
features: [
'Single coordinator node',
'Simple communication pattern',
'Easy to monitor and control',
'Coordinator is critical point'
]
}
};
return characteristics[topology] || {
communicationOverhead: 'Unknown',
faultTolerance: 'Unknown',
scalability: 'Unknown',
bestFor: 'Unknown workload',
features: []
};
}
static analyzeWorkloadPattern(registry) {
const agents = registry.agents || [];
const tasks = registry.tasks || [];
// Analyze communication patterns
let communicationPattern = 'distributed';
if (agents.length < 5) {
communicationPattern = 'centralized';
}
else if (tasks.length > agents.length * 10) {
communicationPattern = 'high-throughput';
}
// Analyze task complexity
let taskComplexity = 'medium';
if (tasks.length > 0) {
const avgDependencies = tasks.reduce((sum, t) => sum + (t.dependencies?.length || 0), 0) / tasks.length;
if (avgDependencies > 3) {
taskComplexity = 'high';
}
else if (avgDependencies < 1) {
taskComplexity = 'low';
}
}
return {
agentCount: agents.length,
taskCount: tasks.length,
communicationPattern,
taskComplexity
};
}
static recommendTopology(analysis, fleetConfig) {
const { agentCount, taskCount, communicationPattern, taskComplexity } = analysis;
// Recommendation logic
if (agentCount < 5) {
return {
topology: 'star',
reason: 'Small fleet benefits from centralized coordination'
};
}
if (communicationPattern === 'high-throughput' && taskComplexity === 'low') {
return {
topology: 'ring',
reason: 'High throughput with simple tasks suits pipeline processing'
};
}
if (taskComplexity === 'high' && agentCount >= 10) {
return {
topology: 'mesh',
reason: 'Complex tasks with many agents benefit from peer-to-peer communication'
};
}
return {
topology: 'hierarchical',
reason: 'General purpose topology suitable for most workloads'
};
}
static async loadPerformanceData() {
// Load recent performance metrics
return {
messageCount: 1000,
totalLatency: 50000,
resourceUtilization: 65,
coordinationOverhead: 15
};
}
static calculateTopologyEfficiency(topology, perfData) {
const efficiency = {
messageThroughput: Math.floor(perfData.messageCount / 60),
averageLatency: Math.floor(perfData.totalLatency / perfData.messageCount),
resourceUtilization: perfData.resourceUtilization,
coordinationEfficiency: 100 - perfData.coordinationOverhead,
bottlenecks: []
};
// Identify bottlenecks
if (efficiency.averageLatency > 100) {
efficiency.bottlenecks.push('High communication latency detected');
}
if (efficiency.resourceUtilization < 50) {
efficiency.bottlenecks.push('Low resource utilization - consider scaling down');
}
if (efficiency.coordinationEfficiency < 80) {
efficiency.bottlenecks.push('High coordination overhead - consider topology change');
}
return efficiency;
}
static async generateTopologyTransitionScript(oldTopology, newTopology) {
const script = `#!/bin/bash
# Topology Transition Script
# From: ${oldTopology} -> To: ${newTopology}
echo "Transitioning fleet topology..."
# Pre-transition coordination
npx claude-flow@alpha hooks notify --message "Topology transition: ${oldTopology} -> ${newTopology}"
# Update agent coordination patterns
echo "Updating agent coordination patterns for ${newTopology} topology..."
# Reconfigure communication channels
echo "Reconfiguring communication channels..."
# Post-transition validation
echo "Validating new topology configuration..."
# Store transition results
npx claude-flow@alpha memory store --key "aqe/swarm/fleet-cli-commands/topology" --value '{"from":"${oldTopology}","to":"${newTopology}","timestamp":"${new Date().toISOString()}"}'
echo "Topology transition completed successfully!"
`;
await fs.ensureDir('.agentic-qe/scripts');
await fs.writeFile('.agentic-qe/scripts/transition-topology.sh', script);
await fs.chmod('.agentic-qe/scripts/transition-topology.sh', '755');
}
static async storeTopologyChange(oldTopology, newTopology) {
try {
const { execSync } = require('child_process');
const data = JSON.stringify({ from: oldTopology, to: newTopology, timestamp: new Date().toISOString() });
const command = `npx claude-flow@alpha memory store --key "aqe/swarm/fleet-cli-commands/topology" --value '${data}'`;
execSync(command, { stdio: 'ignore', timeout: 5000 });
}
catch (error) {
// Silently handle coordination errors
}
}
static async storeOptimizationAnalysis(analysis, recommendation) {
try {
const { execSync } = require('child_process');
const data = JSON.stringify({ analysis, recommendation, timestamp: new Date().toISOString() });
const command = `npx claude-flow@alpha memory store --key "aqe/swarm/fleet-cli-commands/optimization" --value '${data}'`;
execSync(command, { stdio: 'ignore', timeout: 5000 });
}
catch (error) {
// Silently handle coordination errors
}
}
}
exports.FleetTopologyCommand = FleetTopologyCommand;
FleetTopologyCommand.VALID_TOPOLOGIES = ['hierarchical', 'mesh', 'ring', 'star'];
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