claude-flow-multilang/src/cli/simple-commands/automation.js

Revolutionary multilingual AI orchestration framework with cultural awareness and DDD architecture

import { printSuccess, printError, printWarning } from '../utils.js';

// Simple ID generator
function generateId(prefix = 'id') {
  return `${prefix}-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`;
}

export async function automationAction(subArgs, flags) {
  const subcommand = subArgs[0];
  const options = flags;

  if (options.help || options.h || !subcommand) {
    showAutomationHelp();
    return;
  }

  try {
    switch (subcommand) {
      case 'auto-agent':
        await autoAgentCommand(subArgs, flags);
        break;
      case 'smart-spawn':
        await smartSpawnCommand(subArgs, flags);
        break;
      case 'workflow-select':
        await workflowSelectCommand(subArgs, flags);
        break;
      default:
        printError(`Unknown automation command: ${subcommand}`);
        showAutomationHelp();
    }
  } catch (err) {
    printError(`Automation command failed: ${err.message}`);
  }
}

async function autoAgentCommand(subArgs, flags) {
  const options = flags;
  const complexity = options['task-complexity'] || options.complexity || 'medium';
  const swarmId = options['swarm-id'] || options.swarmId || generateId('swarm');

  console.log(`🤖 Auto-spawning agents based on task complexity...`);
  console.log(`📊 Task complexity: ${complexity}`);
  console.log(`🐝 Swarm ID: ${swarmId}`);

  // Determine optimal agent configuration based on complexity
  let agentConfig;
  switch (complexity.toLowerCase()) {
    case 'low':
    case 'simple':
      agentConfig = { coordinator: 1, developer: 1, total: 2 };
      break;
    case 'medium':
    case 'moderate':
      agentConfig = { coordinator: 1, developer: 2, researcher: 1, total: 4 };
      break;
    case 'high':
    case 'complex':
      agentConfig = { coordinator: 2, developer: 3, researcher: 2, analyzer: 1, total: 8 };
      break;
    case 'enterprise':
    case 'massive':
      agentConfig = {
        coordinator: 3,
        developer: 5,
        researcher: 3,
        analyzer: 2,
        tester: 2,
        total: 15,
      };
      break;
    default:
      agentConfig = { coordinator: 1, developer: 2, researcher: 1, total: 4 };
  }

  console.log(`\n🎯 OPTIMAL AGENT CONFIGURATION:`);
  Object.entries(agentConfig).forEach(([type, count]) => {
    if (type !== 'total') {
      console.log(`  🤖 ${type}: ${count} agents`);
    }
  });
  console.log(`  📊 Total agents: ${agentConfig.total}`);

  // Simulate auto-spawning
  await new Promise((resolve) => setTimeout(resolve, 1500));

  printSuccess(`✅ Auto-agent spawning completed`);
  console.log(
    `🚀 ${agentConfig.total} agents spawned and configured for ${complexity} complexity tasks`,
  );
  console.log(`💾 Agent configuration saved to swarm memory: ${swarmId}`);
  console.log(`📋 Agents ready for task assignment`);
}

async function smartSpawnCommand(subArgs, flags) {
  const options = flags;
  const requirement = options.requirement || 'general-development';
  const maxAgents = parseInt(options['max-agents'] || options.maxAgents || '10');

  console.log(`🧠 Smart spawning agents based on requirements...`);
  console.log(`📋 Requirement: ${requirement}`);
  console.log(`🔢 Max agents: ${maxAgents}`);

  // Analyze requirements and suggest optimal agent mix
  let recommendedAgents = [];

  if (requirement.includes('development') || requirement.includes('coding')) {
    recommendedAgents.push(
      { type: 'coordinator', count: 1, reason: 'Task orchestration' },
      { type: 'coder', count: 3, reason: 'Core development work' },
      { type: 'tester', count: 1, reason: 'Quality assurance' },
    );
  }

  if (requirement.includes('research') || requirement.includes('analysis')) {
    recommendedAgents.push(
      { type: 'researcher', count: 2, reason: 'Information gathering' },
      { type: 'analyst', count: 1, reason: 'Data analysis' },
    );
  }

  if (requirement.includes('enterprise') || requirement.includes('production')) {
    recommendedAgents.push(
      { type: 'coordinator', count: 2, reason: 'Multi-tier coordination' },
      { type: 'coder', count: 4, reason: 'Parallel development' },
      { type: 'researcher', count: 2, reason: 'Requirements analysis' },
      { type: 'analyst', count: 1, reason: 'Performance monitoring' },
      { type: 'tester', count: 2, reason: 'Comprehensive testing' },
    );
  }

  // Default fallback
  if (recommendedAgents.length === 0) {
    recommendedAgents = [
      { type: 'coordinator', count: 1, reason: 'General coordination' },
      { type: 'coder', count: 2, reason: 'General development' },
      { type: 'researcher', count: 1, reason: 'Support research' },
    ];
  }

  await new Promise((resolve) => setTimeout(resolve, 1000));

  printSuccess(`✅ Smart spawn analysis completed`);
  console.log(`\n🎯 RECOMMENDED AGENT CONFIGURATION:`);

  let totalRecommended = 0;
  recommendedAgents.forEach((agent) => {
    console.log(`  🤖 ${agent.type}: ${agent.count} agents - ${agent.reason}`);
    totalRecommended += agent.count;
  });

  console.log(`\n📊 SUMMARY:`);
  console.log(`  📝 Total recommended: ${totalRecommended} agents`);
  console.log(`  🔢 Max allowed: ${maxAgents} agents`);
  console.log(
    `  ✅ Configuration: ${totalRecommended <= maxAgents ? 'Within limits' : 'Exceeds limits - scaling down required'}`,
  );

  if (totalRecommended > maxAgents) {
    printWarning(
      `⚠️  Recommended configuration exceeds max agents. Consider increasing limit or simplifying requirements.`,
    );
  }
}

async function workflowSelectCommand(subArgs, flags) {
  const options = flags;
  const projectType = options['project-type'] || options.project || 'general';
  const priority = options.priority || 'balanced';

  console.log(`🔄 Selecting optimal workflow configuration...`);
  console.log(`📁 Project type: ${projectType}`);
  console.log(`⚡ Priority: ${priority}`);

  // Define workflow templates
  const workflows = {
    'web-app': {
      phases: ['planning', 'design', 'frontend', 'backend', 'testing', 'deployment'],
      agents: { coordinator: 1, developer: 3, tester: 1, researcher: 1 },
      duration: '2-4 weeks',
    },
    api: {
      phases: ['specification', 'design', 'implementation', 'testing', 'documentation'],
      agents: { coordinator: 1, developer: 2, tester: 1, researcher: 1 },
      duration: '1-2 weeks',
    },
    'data-analysis': {
      phases: ['collection', 'cleaning', 'analysis', 'visualization', 'reporting'],
      agents: { coordinator: 1, researcher: 2, analyzer: 2, developer: 1 },
      duration: '1-3 weeks',
    },
    enterprise: {
      phases: [
        'requirements',
        'architecture',
        'development',
        'integration',
        'testing',
        'deployment',
        'monitoring',
      ],
      agents: { coordinator: 2, developer: 5, researcher: 2, analyzer: 1, tester: 2 },
      duration: '2-6 months',
    },
    general: {
      phases: ['planning', 'implementation', 'testing', 'delivery'],
      agents: { coordinator: 1, developer: 2, researcher: 1 },
      duration: '1-2 weeks',
    },
  };

  const selectedWorkflow = workflows[projectType] || workflows['general'];

  await new Promise((resolve) => setTimeout(resolve, 800));

  printSuccess(`✅ Workflow selection completed`);
  console.log(`\n🔄 SELECTED WORKFLOW: ${projectType.toUpperCase()}`);
  console.log(`⏱️  Estimated duration: ${selectedWorkflow.duration}`);

  console.log(`\n📋 WORKFLOW PHASES:`);
  selectedWorkflow.phases.forEach((phase, index) => {
    console.log(`  ${index + 1}. ${phase.charAt(0).toUpperCase() + phase.slice(1)}`);
  });

  console.log(`\n🤖 RECOMMENDED AGENTS:`);
  Object.entries(selectedWorkflow.agents).forEach(([type, count]) => {
    console.log(`  • ${type}: ${count} agent${count > 1 ? 's' : ''}`);
  });

  console.log(`\n⚡ PRIORITY OPTIMIZATIONS:`);
  switch (priority) {
    case 'speed':
      console.log(`  🚀 Speed-optimized: +50% agents, parallel execution`);
      break;
    case 'quality':
      console.log(`  🎯 Quality-focused: +100% testing, code review stages`);
      break;
    case 'cost':
      console.log(`  💰 Cost-efficient: Minimal agents, sequential execution`);
      break;
    default:
      console.log(`  ⚖️  Balanced approach: Optimal speed/quality/cost ratio`);
  }

  console.log(`\n📄 Workflow template saved for project: ${projectType}`);
}

function showAutomationHelp() {
  console.log(`
🤖 Automation Commands - Intelligent Agent & Workflow Management

USAGE:
  claude-flow automation <command> [options]

COMMANDS:
  auto-agent        Automatically spawn optimal agents based on task complexity
  smart-spawn       Intelligently spawn agents based on specific requirements
  workflow-select   Select and configure optimal workflows for project types

AUTO-AGENT OPTIONS:
  --task-complexity <level>  Task complexity level (default: medium)
                             Options: low, medium, high, enterprise
  --swarm-id <id>           Target swarm ID for agent spawning

SMART-SPAWN OPTIONS:
  --requirement <req>       Specific requirement description
                           Examples: "web-development", "data-analysis", "enterprise-api"
  --max-agents <n>         Maximum number of agents to spawn (default: 10)

WORKFLOW-SELECT OPTIONS:
  --project-type <type>     Project type (default: general)
                           Options: web-app, api, data-analysis, enterprise, general
  --priority <priority>     Optimization priority (default: balanced)
                           Options: speed, quality, cost, balanced

EXAMPLES:
  # Auto-spawn for complex enterprise task
  claude-flow automation auto-agent --task-complexity enterprise --swarm-id swarm-123

  # Smart spawn for web development
  claude-flow automation smart-spawn --requirement "web-development" --max-agents 8

  # Select workflow for API project optimized for speed
  claude-flow automation workflow-select --project-type api --priority speed

  # Auto-spawn for simple task
  claude-flow automation auto-agent --task-complexity low

🎯 Automation benefits:
  • Optimal resource allocation
  • Intelligent agent selection
  • Workflow optimization
  • Reduced manual configuration
  • Performance-based scaling
`);
}