@clduab11/gemini-flow/src/cli/commands/swarm.ts

Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.

/**
 * Swarm Command Module
 * Advanced swarm management with intelligent coordination
 */

import { Command } from "commander";
import chalk from "chalk";
import ora from "ora";
import inquirer from "inquirer";
import { Logger } from "../../utils/logger.js";
import { ConfigManager } from "../config/config-manager.js";

export interface SwarmConfig {
  id: string;
  name: string;
  topology: "hierarchical" | "mesh" | "ring" | "star";
  maxAgents: number;
  queenType?: string;
  consensus: string;
  createdAt: Date;
  status: "active" | "idle" | "error" | "initializing";
}

export interface SwarmStatus {
  id: string;
  status: string;
  topology: string;
  activeAgents: number;
  maxAgents: number;
  completedTasks: number;
  totalTasks: number;
  agents?: Array<{
    name: string;
    type: string;
    status: string;
  }>;
}

export class SwarmCommand extends Command {
  private logger: Logger;
  private configManager: ConfigManager;

  constructor(configManager: ConfigManager) {
    super("swarm");
    this.configManager = configManager;
    this.logger = new Logger("SwarmCommand");

    this.description("Manage AI agent swarms with intelligent coordination")
      .addCommand(this.createInitCommand())
      .addCommand(this.createStatusCommand())
      .addCommand(this.createMonitorCommand())
      .addCommand(this.createScaleCommand())
      .addCommand(this.createListCommand())
      .addCommand(this.createOptimizeCommand())
      .addCommand(this.createDestroyCommand());
  }

  private createInitCommand(): Command {
    const init = new Command("init");

    init
      .description("Initialize a new intelligent swarm")
      .option(
        "-t, --topology <type>",
        "Swarm topology (hierarchical|mesh|ring|star)",
        "hierarchical",
      )
      .option("-a, --agents <number>", "Number of agents to spawn", "8")
      .option("-n, --name <name>", "Swarm name")
      .option(
        "-q, --queen <type>",
        "Queen type for hierarchical topology",
        "strategic",
      )
      .option(
        "--consensus <algorithm>",
        "Consensus algorithm (majority|byzantine|raft)",
        "majority",
      )
      .option("--interactive", "Interactive swarm configuration")
      .option("--auto-optimize", "Enable automatic topology optimization")
      .option("--memory-size <mb>", "Collective memory size in MB", "1024")
      .action(async (options) => {
        const spinner = ora("Initializing intelligent swarm...").start();

        try {
          let swarmConfig;

          if (options.interactive) {
            spinner.stop();
            swarmConfig = await this.interactiveSwarmConfig(options);
            spinner.start("Creating swarm with configuration...");
          } else {
            swarmConfig = this.buildSwarmConfig(options);
          }

          // Validate configuration
          await this.validateSwarmConfig(swarmConfig);

          // Create swarm
          spinner.text = "Initializing swarm topology...";
          const swarm = await this.createSwarm(swarmConfig);

          // Setup collective memory
          spinner.text = "Setting up collective memory system...";
          await this.setupCollectiveMemory(swarm.id, options.memorySize);

          // Initialize coordination protocols
          spinner.text = "Establishing coordination protocols...";
          await this.initializeCoordination(swarm);

          spinner.succeed(
            chalk.green("Intelligent swarm initialized successfully!"),
          );

          // Display swarm information
          this.displaySwarmInfo(swarm);

          // Auto-optimize if requested
          if (options.autoOptimize) {
            console.log(chalk.cyan("\n🔧 Auto-optimization enabled"));
            await this.scheduleOptimization(swarm.id);
          }
        } catch (error: any) {
          spinner.fail(chalk.red("Failed to initialize swarm"));
          this.logger.error("Swarm initialization failed:", error);
          console.error(chalk.red("Error:"), error.message);
          process.exit(1);
        }
      });

    return init;
  }

  private createStatusCommand(): Command {
    const status = new Command("status");

    status
      .description("Get comprehensive swarm status")
      .option("-i, --id <swarmId>", "Swarm ID")
      .option("-d, --detailed", "Show detailed information")
      .option("-r, --real-time", "Real-time status updates")
      .option("--metrics", "Include performance metrics")
      .option("--agents", "Include agent details")
      .action(async (options) => {
        try {
          if (options.realTime) {
            await this.realTimeStatus(options);
          } else {
            await this.singleStatus(options);
          }
        } catch (error: any) {
          this.logger.error("Failed to get swarm status:", error);
          console.error(chalk.red("Error:"), error.message);
          process.exit(1);
        }
      });

    return status;
  }

  private createMonitorCommand(): Command {
    const monitor = new Command("monitor");

    monitor
      .description("Advanced swarm monitoring with analytics")
      .option("-i, --id <swarmId>", "Swarm ID")
      .option("-d, --duration <seconds>", "Monitoring duration", "60")
      .option("-r, --refresh <seconds>", "Refresh interval", "1")
      .option("--export <format>", "Export metrics (json|csv|html)")
      .option("--alert-threshold <value>", "Performance alert threshold", "0.8")
      .option("--save-logs", "Save monitoring logs")
      .action(async (options) => {
        console.log(chalk.cyan("📊 Starting advanced swarm monitoring...\n"));

        try {
          await this.advancedMonitoring(options);
        } catch (error: any) {
          this.logger.error("Monitoring failed:", error);
          console.error(chalk.red("Error:"), error.message);
          process.exit(1);
        }
      });

    return monitor;
  }

  private createScaleCommand(): Command {
    const scale = new Command("scale");

    scale
      .description("Intelligent swarm scaling with optimization")
      .option("-i, --id <swarmId>", "Swarm ID", "default")
      .option("-c, --count <number>", "Target agent count")
      .option("--type <agentType>", "Specific agent type to scale")
      .option(
        "--strategy <strategy>",
        "Scaling strategy (gradual|immediate|optimal)",
        "optimal",
      )
      .option("--preserve-memory", "Preserve agent memory during scaling")
      .option("--dry-run", "Simulate scaling without changes")
      .action(async (options) => {
        const spinner = ora("Analyzing optimal scaling strategy...").start();

        try {
          // Analyze current performance
          spinner.text = "Analyzing current swarm performance...";
          const analysis = await this.analyzeSwarmPerformance(options.id);

          // Calculate optimal scaling
          spinner.text = "Calculating optimal scaling strategy...";
          const scalingPlan = await this.calculateOptimalScaling(
            options.id,
            parseInt(options.count),
            options.strategy,
            analysis,
          );

          if (options.dryRun) {
            spinner.succeed("Scaling simulation completed");
            this.displayScalingPlan(scalingPlan);
            return;
          }

          // Execute scaling
          spinner.text = "Executing intelligent scaling...";
          const result = await this.executeScaling(scalingPlan, options);

          spinner.succeed(chalk.green("Swarm scaled successfully!"));
          this.displayScalingResults(result);
        } catch (error: any) {
          spinner.fail(chalk.red("Scaling failed"));
          this.logger.error("Scaling error:", error);
          console.error(chalk.red("Error:"), error.message);
          process.exit(1);
        }
      });

    return scale;
  }

  private createListCommand(): Command {
    const list = new Command("list");

    list
      .description("List all swarms with filtering and sorting")
      .option("--status <status>", "Filter by status (active|idle|error)")
      .option("--topology <type>", "Filter by topology")
      .option(
        "--sort <field>",
        "Sort by field (name|created|agents|performance)",
        "created",
      )
      .option("--format <format>", "Output format (table|json|yaml)", "table")
      .action(async (options) => {
        try {
          const swarms = await this.listSwarms(options);
          this.displaySwarmList(swarms, options.format);
        } catch (error: any) {
          this.logger.error("Failed to list swarms:", error);
          console.error(chalk.red("Error:"), error.message);
          process.exit(1);
        }
      });

    return list;
  }

  private createOptimizeCommand(): Command {
    const optimize = new Command("optimize");

    optimize
      .description("Optimize swarm performance and topology")
      .option("-i, --id <swarmId>", "Swarm ID", "default")
      .option("--performance", "Optimize for performance")
      .option("--cost", "Optimize for cost efficiency")
      .option("--memory", "Optimize memory usage")
      .option("--topology", "Optimize topology structure")
      .option("--all", "Comprehensive optimization")
      .option(
        "--aggressive",
        "Aggressive optimization (may cause temporary disruption)",
      )
      .action(async (options) => {
        const spinner = ora("Running swarm optimization analysis...").start();

        try {
          // Analyze current state
          spinner.text = "Analyzing swarm performance patterns...";
          const analysis = await this.comprehensiveSwarmAnalysis(options.id);

          // Generate optimization recommendations
          spinner.text = "Generating optimization recommendations...";
          const recommendations = await this.generateOptimizationPlan(
            analysis,
            options,
          );

          // Display recommendations
          spinner.stop();
          console.log(chalk.cyan("\n🔧 Optimization Recommendations:\n"));
          this.displayOptimizationPlan(recommendations);

          // Confirm execution
          const { confirm } = await inquirer.prompt([
            {
              type: "confirm",
              name: "confirm",
              message: "Apply these optimizations?",
              default: false,
            },
          ]);

          if (confirm) {
            spinner.start("Applying optimizations...");
            const results = await this.applyOptimizations(
              options.id,
              recommendations,
            );
            spinner.succeed("Optimization completed successfully!");
            this.displayOptimizationResults(results);
          } else {
            console.log(chalk.yellow("Optimization cancelled"));
          }
        } catch (error: any) {
          spinner.fail(chalk.red("Optimization failed"));
          this.logger.error("Optimization error:", error);
          console.error(chalk.red("Error:"), error.message);
          process.exit(1);
        }
      });

    return optimize;
  }

  private createDestroyCommand(): Command {
    const destroy = new Command("destroy");

    destroy
      .description("Safely destroy swarm with cleanup")
      .option("-i, --id <swarmId>", "Swarm ID")
      .option("-f, --force", "Force destroy without confirmation")
      .option("--preserve-memory", "Preserve collective memory")
      .option("--export-logs", "Export logs before destruction")
      .option("--graceful", "Graceful shutdown with agent cleanup")
      .action(async (options) => {
        try {
          if (!options.force) {
            const { confirm } = await inquirer.prompt([
              {
                type: "confirm",
                name: "confirm",
                message: `⚠️  This will destroy swarm '${options.id}' and all resources. Continue?`,
                default: false,
              },
            ]);

            if (!confirm) {
              console.log(chalk.yellow("Destruction cancelled"));
              return;
            }
          }

          const spinner = ora("Initiating graceful swarm shutdown...").start();

          // Export logs if requested
          if (options.exportLogs) {
            spinner.text = "Exporting swarm logs...";
            await this.exportSwarmLogs(options.id);
          }

          // Graceful agent shutdown
          if (options.graceful) {
            spinner.text = "Performing graceful agent shutdown...";
            await this.gracefulAgentShutdown(options.id);
          }

          // Preserve memory if requested
          if (options.preserveMemory) {
            spinner.text = "Preserving collective memory...";
            await this.preserveCollectiveMemory(options.id);
          }

          // Final cleanup
          spinner.text = "Cleaning up resources...";
          await this.destroySwarm(options.id);

          spinner.succeed(chalk.green("Swarm destroyed successfully"));
        } catch (error: any) {
          console.error(chalk.red("Destruction failed:"), error.message);
          this.logger.error("Destroy error:", error);
          process.exit(1);
        }
      });

    return destroy;
  }

  // Helper methods for swarm operations
  private async interactiveSwarmConfig(baseOptions: any): Promise<any> {
    const questions = [
      {
        type: "input",
        name: "name",
        message: "Swarm name:",
        default: baseOptions.name || `swarm-${Date.now()}`,
      },
      {
        type: "list",
        name: "topology",
        message: "Choose swarm topology:",
        choices: [
          {
            name: "Hierarchical - Queen-led coordination",
            value: "hierarchical",
          },
          { name: "Mesh - Peer-to-peer network", value: "mesh" },
          { name: "Ring - Circular communication", value: "ring" },
          { name: "Star - Central hub model", value: "star" },
        ],
        default: baseOptions.topology,
      },
      {
        type: "number",
        name: "maxAgents",
        message: "Maximum number of agents:",
        default: parseInt(baseOptions.agents),
        validate: (input) => input > 0 && input <= 64,
      },
      {
        type: "list",
        name: "consensus",
        message: "Consensus algorithm:",
        choices: ["majority", "byzantine", "raft"],
        default: baseOptions.consensus,
      },
    ];

    if (baseOptions.topology === "hierarchical") {
      questions.push({
        type: "list",
        name: "queenType",
        message: "Queen agent type:",
        choices: ["strategic", "tactical", "adaptive", "specialized"],
        default: baseOptions.queen,
      } as any);
    }

    return await inquirer.prompt(questions);
  }

  private buildSwarmConfig(options: any): any {
    return {
      name: options.name || `swarm-${Date.now()}`,
      topology: options.topology,
      maxAgents: parseInt(options.agents),
      queenType: options.queen,
      consensus: options.consensus,
      autoOptimize: options.autoOptimize || false,
      memorySize: parseInt(options.memorySize) || 1024,
    };
  }

  private async validateSwarmConfig(config: any): Promise<void> {
    const validTopologies = ["hierarchical", "mesh", "ring", "star"];
    const validConsensus = ["majority", "byzantine", "raft"];

    if (!validTopologies.includes(config.topology)) {
      throw new Error(`Invalid topology: ${config.topology}`);
    }

    if (!validConsensus.includes(config.consensus)) {
      throw new Error(`Invalid consensus algorithm: ${config.consensus}`);
    }

    if (config.maxAgents < 1 || config.maxAgents > 64) {
      throw new Error("Agent count must be between 1 and 64");
    }
  }

  private async createSwarm(config: any): Promise<SwarmConfig> {
    // Simulate swarm creation
    const swarm: SwarmConfig = {
      id: `swarm-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`,
      name: config.name,
      topology: config.topology,
      maxAgents: config.maxAgents,
      queenType: config.queenType,
      consensus: config.consensus,
      createdAt: new Date(),
      status: "initializing",
    };

    // Store swarm configuration
    await this.storeSwarmConfig(swarm);

    return swarm;
  }

  private async setupCollectiveMemory(
    swarmId: string,
    memorySize: string,
  ): Promise<void> {
    // Initialize collective memory system
    this.logger.info(
      `Setting up collective memory for swarm ${swarmId} with ${memorySize}MB`,
    );
    // Implementation would setup distributed memory system
  }

  private async initializeCoordination(swarm: SwarmConfig): Promise<void> {
    // Initialize coordination protocols based on topology
    this.logger.info(
      `Initializing ${swarm.topology} coordination for swarm ${swarm.id}`,
    );
    // Implementation would setup coordination mechanisms
  }

  private displaySwarmInfo(swarm: SwarmConfig): void {
    console.log("\n" + chalk.cyan("🐝 Swarm Details:"));
    console.log(chalk.white(`   ID: ${swarm.id}`));
    console.log(chalk.white(`   Name: ${swarm.name}`));
    console.log(chalk.white(`   Topology: ${swarm.topology}`));
    console.log(chalk.white(`   Max Agents: ${swarm.maxAgents}`));
    console.log(chalk.white(`   Consensus: ${swarm.consensus}`));

    if (swarm.queenType) {
      console.log(chalk.white(`   Queen Type: ${swarm.queenType}`));
    }

    console.log("\n" + chalk.yellow("Next steps:"));
    console.log(
      chalk.gray(
        `   1. Spawn agents: gemini-flow agent spawn --swarm ${swarm.id} --count 5`,
      ),
    );
    console.log(
      chalk.gray(
        `   2. Monitor swarm: gemini-flow swarm monitor --id ${swarm.id}`,
      ),
    );
    console.log(
      chalk.gray(
        `   3. Optimize performance: gemini-flow swarm optimize --id ${swarm.id}`,
      ),
    );
  }

  private async scheduleOptimization(swarmId: string): Promise<void> {
    // Schedule automatic optimization
    this.logger.info(`Scheduling auto-optimization for swarm ${swarmId}`);
  }

  private async storeSwarmConfig(swarm: SwarmConfig): Promise<void> {
    // Store swarm configuration in persistent storage
    this.logger.debug("Storing swarm configuration:", swarm.id);
  }

  // Placeholder methods for complex operations
  private async singleStatus(options: any): Promise<void> {
    console.log(chalk.cyan("🐝 Swarm Status: Active"));
  }

  private async realTimeStatus(options: any): Promise<void> {
    console.log(chalk.cyan("📊 Real-time monitoring started..."));
  }

  private async advancedMonitoring(options: any): Promise<void> {
    console.log(chalk.cyan("🔍 Advanced monitoring active..."));
  }

  private async analyzeSwarmPerformance(swarmId: string): Promise<any> {
    return { performance: 0.85, efficiency: 0.92 };
  }

  private async calculateOptimalScaling(
    swarmId: string,
    targetCount: number,
    strategy: string,
    analysis: any,
  ): Promise<any> {
    return { currentCount: 5, targetCount, strategy: "gradual" };
  }

  private async executeScaling(plan: any, options: any): Promise<any> {
    return { success: true, scaled: plan.targetCount - plan.currentCount };
  }

  private displayScalingPlan(plan: any): void {
    console.log(chalk.cyan("\n📊 Scaling Plan:"));
    console.log(`   Current: ${plan.currentCount} agents`);
    console.log(`   Target: ${plan.targetCount} agents`);
    console.log(`   Strategy: ${plan.strategy}`);
  }

  private displayScalingResults(result: any): void {
    console.log(chalk.green("\n✅ Scaling Results:"));
    console.log(`   Agents scaled: ${result.scaled}`);
  }

  private async listSwarms(options: any): Promise<any[]> {
    return []; // Placeholder
  }

  private displaySwarmList(swarms: any[], format: string): void {
    console.log(chalk.cyan("📋 Swarm List:"));
    if (swarms.length === 0) {
      console.log(chalk.gray("   No swarms found"));
    }
  }

  private async comprehensiveSwarmAnalysis(swarmId: string): Promise<any> {
    return { recommendations: [] };
  }

  private async generateOptimizationPlan(
    analysis: any,
    options: any,
  ): Promise<any> {
    return { optimizations: [] };
  }

  private displayOptimizationPlan(plan: any): void {
    console.log(chalk.yellow("No optimizations needed"));
  }

  private async applyOptimizations(swarmId: string, plan: any): Promise<any> {
    return { applied: 0 };
  }

  private displayOptimizationResults(results: any): void {
    console.log(chalk.green(`Applied ${results.applied} optimizations`));
  }

  private async exportSwarmLogs(swarmId: string): Promise<void> {
    this.logger.info(`Exporting logs for swarm ${swarmId}`);
  }

  private async gracefulAgentShutdown(swarmId: string): Promise<void> {
    this.logger.info(`Graceful shutdown for swarm ${swarmId}`);
  }

  private async preserveCollectiveMemory(swarmId: string): Promise<void> {
    this.logger.info(`Preserving memory for swarm ${swarmId}`);
  }

  private async destroySwarm(swarmId: string): Promise<void> {
    this.logger.info(`Destroying swarm ${swarmId}`);
  }
}