@clduab11/gemini-flow/src/cli/commands/execute.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.

#!/usr/bin/env node
/**
 * Execute Command - Live code execution with Gemini integration
 * Implements Command Bible execute functionality
 */

import { Command } from "commander";
import chalk from "chalk";
import ora from "ora";
import { Logger } from "../../utils/logger.js";
import { ModelOrchestrator } from "../../core/model-orchestrator.js";
import { PerformanceMonitor } from "../../core/performance-monitor.js";

const logger = new Logger("Execute");

export class ExecuteCommand extends Command {
  constructor() {
    super("execute");

    this.description(
      "Execute live code with Gemini integration and real-time coordination",
    )
      .argument("<task>", "Task description for execution")
      .option("--live", "Enable live execution mode")
      .option(
        "--framework <name>",
        "Target framework (fastapi, express, react, etc.)",
      )
      .option(
        "--test-framework <name>",
        "Testing framework (pytest, jest, etc.)",
      )
      .option(
        "--coverage-target <n>",
        "Minimum coverage percentage",
        parseInt,
        90,
      )
      .option("--optimize", "Enable performance optimization pass")
      .option("--deploy-ready", "Prepare for deployment")
      .option("--gemini", "Use Gemini Code Assist coordination")
      .option("--emergency", "Emergency execution mode - skip reviews")
      .option("--all-hands", "All-hands mode - maximum agent deployment")
      .option("--skip-review", "Skip code review process")
      .option("--deploy-on-success", "Auto-deploy on successful tests")
      .option("--marathon-mode", "Extended execution session")
      .option("--slack-updates", "Send updates to Slack")
      .option("--canary-deploy", "Use canary deployment strategy")
      .option("--auto-route", "Enable automatic model routing")
      .option("--cost-optimize", "Optimize for cost efficiency")
      .option("--analyze-self", "Enable self-analysis capabilities")
      .option("--meta-optimization", "Enable meta-optimization")
      .action(this.executeAction.bind(this));
  }

  async executeAction(task: string, options: any): Promise<void> {
    const spinner = ora("Initializing live execution environment...").start();

    try {
      logger.info("Starting execute command", { task, options });

      // Initialize orchestration components
      const orchestrator = new ModelOrchestrator({
        cacheSize: options.cacheSize || 1000,
        performanceThreshold: 100,
      });

      const performanceMonitor = new PerformanceMonitor();

      // Handle emergency mode
      if (options.emergency) {
        spinner.text = "🚨 Emergency execution mode activated";
        logger.warn("Emergency mode: skipping safety checks");
      }

      // Configure execution context
      const executionContext = {
        task,
        framework: options.framework,
        testFramework: options.testFramework,
        coverageTarget: options.coverageTarget,
        optimize: options.optimize,
        deployReady: options.deployReady,
        emergency: options.emergency,
        allHands: options.allHands,
        skipReview: options.skipReview,
        deployOnSuccess: options.deployOnSuccess,
        marathonMode: options.marathonMode,
        slackUpdates: options.slackUpdates,
        canaryDeploy: options.canaryDeploy,
        autoRoute: options.autoRoute,
        costOptimize: options.costOptimize,
        analyzeSelf: options.analyzeSelf,
        metaOptimization: options.metaOptimization,
      };

      spinner.succeed("Execution environment initialized");

      // Phase 1: Analysis and Planning
      console.log(chalk.blue("\n🔍 Phase 1: Task Analysis"));
      const analysisSpinner = ora("Analyzing task requirements...").start();

      const analysisPrompt = `
        Analyze this execution task: "${task}"
        
        Context:
        - Framework: ${options.framework || "auto-detect"}
        - Test Framework: ${options.testFramework || "auto-detect"}
        - Coverage Target: ${options.coverageTarget}%
        - Emergency Mode: ${options.emergency ? "YES" : "NO"}
        
        Provide:
        1. Implementation approach
        2. Required dependencies
        3. Test strategy
        4. Deployment considerations
        5. Risk assessment
      `;

      const analysis = await orchestrator.orchestrate(analysisPrompt, {
        task: "execution_analysis",
        userTier: "pro",
        priority: options.emergency ? "critical" : "high",
        latencyRequirement: 2000,
        capabilities: ["code_analysis", "architecture_planning"],
      });

      analysisSpinner.succeed("Task analysis complete");
      console.log(chalk.gray(analysis.content));

      // Phase 2: Implementation
      console.log(chalk.blue("\n🏗️ Phase 2: Implementation"));
      const implementationSpinner = ora("Generating implementation...").start();

      const implementationPrompt = `
        Based on the analysis, implement: "${task}"
        
        Requirements:
        ${analysis.content}
        
        Generate complete, production-ready code with:
        1. Main implementation
        2. Comprehensive tests (${options.coverageTarget}% coverage)
        3. Documentation
        4. Error handling
        5. ${options.optimize ? "Performance optimizations" : "Standard implementation"}
        
        Output format: Structured code blocks with file paths
      `;

      const implementation = await orchestrator.orchestrate(
        implementationPrompt,
        {
          task: "code_implementation",
          userTier: "pro",
          priority: options.emergency ? "critical" : "high",
          latencyRequirement: 2000,
          capabilities: ["code_generation", "testing", "documentation"],
        },
      );

      implementationSpinner.succeed("Implementation generated");

      // Phase 3: Testing and Validation (unless skipped)
      if (!options.skipReview) {
        console.log(chalk.blue("\n🧪 Phase 3: Testing and Validation"));
        const testingSpinner = ora("Running tests and validation...").start();

        const testingPrompt = `
          Review and validate this implementation:
          
          ${implementation.content}
          
          Perform:
          1. Code quality analysis
          2. Security review
          3. Test coverage validation
          4. Performance assessment
          5. Best practices compliance
          
          Target: ${options.coverageTarget}% test coverage
          Emergency: ${options.emergency ? "Fast track validation" : "Full validation"}
        `;

        const validation = await orchestrator.orchestrate(testingPrompt, {
          task: "code_validation",
          userTier: "pro",
          priority: options.emergency ? "critical" : "medium",
          latencyRequirement: 2000,
          capabilities: ["code_review", "security_analysis", "testing"],
        });

        testingSpinner.succeed("Validation complete");
        console.log(chalk.gray(validation.content));
      }

      // Phase 4: Deployment Preparation (if requested)
      if (options.deployReady) {
        console.log(chalk.blue("\n🚀 Phase 4: Deployment Preparation"));
        const deploySpinner = ora("Preparing deployment artifacts...").start();

        const deploymentPrompt = `
          Prepare deployment configuration for:
          
          ${implementation.content}
          
          Generate:
          1. Dockerfile (if applicable)
          2. CI/CD pipeline configuration
          3. Environment configuration
          4. Health check endpoints
          5. Monitoring setup
          6. ${options.canaryDeploy ? "Canary deployment strategy" : "Standard deployment"}
        `;

        const deployment = await orchestrator.orchestrate(deploymentPrompt, {
          task: "deployment_preparation",
          userTier: "pro",
          priority: "medium",
          latencyRequirement: 2000,
          capabilities: ["devops", "deployment", "monitoring"],
        });

        deploySpinner.succeed("Deployment preparation complete");
        console.log(chalk.gray(deployment.content));
      }

      // Generate execution summary
      const metrics = orchestrator.getMetrics();
      const performanceScore = performanceMonitor.getHealthScore();

      console.log(chalk.green("\n✅ Execution Complete!"));
      console.log(chalk.blue("Performance Metrics:"));
      console.log(chalk.gray(`  • Total Requests: ${metrics.totalRequests}`));
      console.log(
        chalk.gray(
          `  • Average Latency: ${metrics.avgRoutingTime.toFixed(2)}ms`,
        ),
      );
      console.log(
        chalk.gray(
          `  • Cache Hit Rate: ${(metrics.cacheHitRate * 100).toFixed(1)}%`,
        ),
      );
      console.log(
        chalk.gray(`  • Performance Score: ${performanceScore.toFixed(1)}/100`),
      );

      if (options.slackUpdates) {
        console.log(chalk.yellow("\n📱 Slack updates would be sent here"));
      }

      if (options.deployOnSuccess && !options.skipReview) {
        console.log(chalk.green("\n🚀 Auto-deployment triggered"));
      }

      if (options.marathonMode) {
        console.log(
          chalk.yellow("\n⏰ Marathon mode: Session will continue..."),
        );
      }
    } catch (error) {
      spinner.fail("Execution failed");
      console.error(chalk.red("Error:"), error.message);

      if (options.emergency) {
        console.log(
          chalk.red("🚨 Emergency mode: Immediate attention required"),
        );
      }

      throw error;
    }
  }
}