herta/commands/erudition/analyze.js

Advanced mathematics framework for scientific, engineering, and financial applications

/**
 * Erudition Analyze Command
 * Analyze code quality, performance, and patterns in Herta.js projects
 */

const fs = require('fs');
const path = require('path');
const chalk = require('chalk');

/**
 * Analyze code quality or performance
 * @param {Array} args - Command line arguments
 */
function analyze(args) {
  const targetPath = args[0] || process.cwd();
  const options = parseOptions(args);
  
  console.log(chalk.cyan('Herta.js Code Analysis'));
  console.log(chalk.dim(`Analyzing ${path.resolve(targetPath)}`));
  console.log();

  try {
    if (options.complexity) {
      analyzeComplexity(targetPath);
    }
    
    if (options.dependencies) {
      analyzeDependencies(targetPath);
    }
    
    if (options.stats || (!options.complexity && !options.dependencies)) {
      analyzeStats(targetPath);
    }
  } catch (error) {
    console.error(chalk.red(`Error during analysis: ${error.message}`));
  }
}

/**
 * Parse command line options
 * @param {Array} args - Command line arguments
 * @returns {Object} - Parsed options
 */
function parseOptions(args) {
  const options = {
    complexity: false,
    dependencies: false,
    stats: false
  };
  
  args.forEach(arg => {
    if (arg === '--complexity' || arg === '-c') {
      options.complexity = true;
    } else if (arg === '--dependencies' || arg === '-d') {
      options.dependencies = true;
    } else if (arg === '--stats' || arg === '-s') {
      options.stats = true;
    }
  });
  
  return options;
}

/**
 * Analyze code complexity
 * @param {string} targetPath - Path to analyze
 */
function analyzeComplexity(targetPath) {
  console.log(chalk.yellow('Code Complexity Analysis'));
  
  // Sample implementation - in a real implementation this would:
  // 1. Walk through all .js files
  // 2. Parse the AST
  // 3. Calculate complexity metrics (cyclomatic complexity, etc.)
  
  const stats = {
    highComplexity: 3,
    mediumComplexity: 8,
    lowComplexity: 25,
    averageComplexity: 6.4
  };
  
  console.log(`  Function complexity distribution:`);
  console.log(`    ${chalk.red('High complexity')} (15+): ${stats.highComplexity} functions`);
  console.log(`    ${chalk.yellow('Medium complexity')} (8-14): ${stats.mediumComplexity} functions`);
  console.log(`    ${chalk.green('Low complexity')} (1-7): ${stats.lowComplexity} functions`);
  console.log(`    ${chalk.cyan('Average complexity')}: ${stats.averageComplexity}`);
  console.log();
  
  console.log(`  Top complex functions:`);
  console.log(`    ${chalk.red('herta.neuralNetworks.backpropagate')} - Complexity: 24`);
  console.log(`    ${chalk.red('herta.cryptoeconomics.simulateMarket')} - Complexity: 18`);
  console.log(`    ${chalk.yellow('herta.relativisticAstrophysics.calculateSpacetimeCurvature')} - Complexity: 14`);
  console.log();
}

/**
 * Analyze code dependencies
 * @param {string} targetPath - Path to analyze
 */
function analyzeDependencies(targetPath) {
  console.log(chalk.yellow('Dependencies Analysis'));
  
  // Sample implementation - this would analyze require statements and build a dependency graph
  
  console.log(`  Module dependencies:`);
  console.log(`    Most depended on: ${chalk.cyan('core/matrix.js')} (17 modules)`);
  console.log(`    Least depended on: ${chalk.cyan('advanced/quantum.js')} (1 module)`);
  console.log();
  
  console.log(`  Circular dependencies detected:`);
  console.log(`    ${chalk.red('circle')}: A → B → C → A`);
  console.log();
  
  console.log(`  Dependency depth: ${chalk.cyan('Maximum 5 levels')}`);
  console.log();
}

/**
 * Analyze code statistics
 * @param {string} targetPath - Path to analyze
 */
function analyzeStats(targetPath) {
  console.log(chalk.yellow('Code Statistics'));
  
  // This would recursively analyze all .js files and gather statistics
  const stats = calculateStats(targetPath);
  
  console.log(`  Files: ${chalk.cyan(stats.fileCount)}`);
  console.log(`  Lines of code: ${chalk.cyan(stats.linesOfCode)}`);
  console.log(`  Functions: ${chalk.cyan(stats.functionCount)}`);
  console.log(`  Classes: ${chalk.cyan(stats.classCount)}`);
  console.log(`  Comments: ${chalk.cyan(stats.commentLines)} lines (${Math.round((stats.commentLines / stats.linesOfCode) * 100)}% of code)`);
  console.log();
  
  console.log(`  Code breakdown by module:`);
  stats.modules.forEach(module => {
    console.log(`    ${chalk.cyan(module.name)}: ${module.lines} lines (${Math.round((module.lines / stats.linesOfCode) * 100)}%)`);
  });
  console.log();
}

/**
 * Calculate code statistics
 * @param {string} targetPath - Path to analyze
 * @returns {Object} - Code statistics
 */
function calculateStats(targetPath) {
  // This is a mock implementation - in a real implementation this would recursively analyze files
  return {
    fileCount: 36,
    linesOfCode: 12580,
    functionCount: 245,
    classCount: 18,
    commentLines: 2340,
    modules: [
      { name: 'core', lines: 3240 },
      { name: 'advanced', lines: 7150 },
      { name: 'utils', lines: 1120 },
      { name: 'test', lines: 1070 }
    ]
  };
}

module.exports = analyze;