myaidev-method/src/scripts/dev-test.js

Comprehensive development framework with SPARC methodology for AI-assisted software development, multi-platform publishing (WordPress, PayloadCMS, Astro, Docusaurus, Mintlify), and Coolify deployment

#!/usr/bin/env node

/**
 * MyAIDev Method - Testing CLI
 *
 * Invokes the dev-tester agent to create comprehensive test suites,
 * generate coverage reports, and validate quality gates.
 *
 * Usage:
 *   npx myaidev-method dev:test "Test authentication system"
 *   npx myaidev-method dev:test "Integration tests for checkout" --integration
 */

import { SparcWorkflow } from '../lib/dev-workflow/sparc-workflow.js';
import { getAgentByPhase } from '../lib/dev-workflow/agent-types.js';

async function main() {
  const args = process.argv.slice(2);

  if (args.length === 0 || args.includes('--help') || args.includes('-h')) {
    console.log(`
🧪 MyAIDev Method - Testing

Usage:
  npx myaidev-method dev:test "Test authentication"
  npx myaidev-method dev:test "Test checkout flow" --integration --coverage

Options:
  --coverage            Generate coverage report
  --integration         Focus on integration tests
  --framework <name>    Testing framework (jest, mocha, pytest, etc.)
  --output-dir <path>   Custom output directory (default: .myaidev-method/sparc/test-results/)
  --help, -h            Show this help message

Examples:
  npx myaidev-method dev:test "Test user authentication"
  npx myaidev-method dev:test "Integration tests for API" --integration --coverage
  npx myaidev-method dev:test "Test payment module" --framework jest

Testing Standards:
  - 80%+ coverage for critical paths
  - 60%+ overall coverage
  - AAA pattern (Arrange, Act, Assert)
  - Edge cases and error scenarios
  - Quality gates (pre-commit, pre-merge)

Output:
  .myaidev-method/sparc/test-results/

Next Phase:
  After testing, run:
  npx myaidev-method dev:review "Review [feature]"
    `);
    process.exit(0);
  }

  const taskDescription = args[0];

  // Parse options
  const options = {
    workingDir: process.cwd(),
  };

  for (let i = 1; i < args.length; i++) {
    if (args[i] === '--coverage') {
      options.coverage = true;
    } else if (args[i] === '--integration') {
      options.integration = true;
    } else if (args[i] === '--framework' && args[i + 1]) {
      options.framework = args[i + 1];
      i++;
    } else if (args[i] === '--output-dir' && args[i + 1]) {
      options.outputDir = args[i + 1];
      i++;
    }
  }

  try {
    console.log('🧪 MyAIDev Method - Testing');
    console.log('📋 Task:', taskDescription);
    if (options.integration) {
      console.log('🔗 Focus: Integration Tests');
    }
    if (options.framework) {
      console.log('🔧 Framework:', options.framework);
    }
    console.log('');

    const workflow = new SparcWorkflow(taskDescription, options);
    const agent = getAgentByPhase('testing');

    console.log(`🚀 Invoking ${agent.emoji} ${agent.name}...`);
    console.log('');

    const result = await workflow.runPhase('testing');

    console.log('');
    console.log('✅ Testing complete!');
    console.log('📁 Output:', result.outputDir);
    if (options.coverage) {
      console.log('📊 Coverage Report:', result.coverageReport);
    }
    console.log('');
    console.log('📌 Next Steps:');
    console.log('  1. Review test results in .myaidev-method/sparc/test-results/');
    console.log('  2. Run: npx myaidev-method dev:review "Review [feature]"');
    console.log('');

  } catch (error) {
    console.error('❌ Error:', error.message);
    process.exit(1);
  }
}

main();