/** * ComplexityAnalyzer - Calculates cyclomatic complexity and maintainability metrics * Updated to use EnhancedTokenizer with optional external parser support * Multi-language support for JavaScript, Python, Java, C#, Go, PHP, Ruby, and more */ const EnhancedTokenizer = require('./enhanced-tokenizer'); const LanguageDetector = require('./language-detector'); class ComplexityAnalyzer { constructor() { this.thresholds = { complexity: { low: 5, medium: 10, high: 20 }, maintainability: { low: 40, medium: 60, high: 80 } }; this.tokenizer = new EnhancedTokenizer(); this.languageDetector = new LanguageDetector(); // Log parser info once const parserInfo = this.tokenizer.getParserInfo(); if (!this._loggedParser) { console.log(`[COMPLEXITY] Using ${parserInfo.name} parser for accurate analysis`); this._loggedParser = true; } } /** * Analyze file complexity with DEEP per-function analysis * Now uses AST from Babel for maximum accuracy and insights * Multi-language support - adapts complexity calculation per language */ analyze(filePath, content) { // Detect language first const langInfo = this.languageDetector.detectFromPath(filePath); // Try to get AST for deep analysis (JS/TS only) const ast = this.tokenizer.parseToAST(content, filePath); let metrics; if (ast && this.tokenizer.hasExternalParser() && langInfo.language === 'javascript') { // USE AST - Maximum accuracy and depth (JS/TS only) metrics = this.analyzeWithAST(filePath, content, ast, langInfo); } else { // Fallback to token-based analysis (multi-language) const tokens = this.tokenizer.tokenize(content, filePath); const codeTokens = this.tokenizer.filterCodeTokens(tokens); metrics = this.analyzeWithTokens(filePath, content, codeTokens, langInfo); } metrics.language = langInfo.language; metrics.rating = this.calculateRating(metrics); metrics.issues = this.identifyComplexityIssues(metrics); return metrics; } /** * Analyze with AST (when @babel/parser available) * This gives us 10x more insights than token-based */ analyzeWithAST(filePath, content, ast, langInfo) { return { filePath, language: langInfo.language, cyclomaticComplexity: this.calculateCyclomaticFromAST(ast), cognitiveComplexity: this.calculateCognitiveFromAST(ast), maintainabilityIndex: this.calculateMaintainabilityIndex(content), halsteadMetrics: this.calculateHalsteadFromAST(ast), linesOfCode: this.calculateLOC(content), functionMetrics: this.analyzeFunctionsFromAST(ast, content), nestingAnalysis: this.analyzeNestingFromAST(ast), parameterAnalysis: this.analyzeParametersFromAST(ast), returnPointAnalysis: this.analyzeReturnPointsFromAST(ast), cognitiveLoad: this.calculateCognitiveLoadFromAST(ast), modernFeatures: this.detectModernFeatures(ast), rating: 'A' }; } /** * Analyze with tokens (fallback - multi-language support) */ analyzeWithTokens(filePath, content, codeTokens, langInfo) { const functions = this.extractFunctionsDeep(content, langInfo); return { filePath, language: langInfo.language, cyclomaticComplexity: this.calculateCyclomaticComplexityFromTokens(codeTokens, langInfo), cognitiveComplexity: this.calculateCognitiveComplexity(content, langInfo), maintainabilityIndex: this.calculateMaintainabilityIndex(content), halsteadMetrics: this.calculateHalsteadMetrics(content, langInfo), linesOfCode: this.calculateLOC(content), functionMetrics: this.analyzeFunctionsDeep(functions, content, langInfo), nestingAnalysis: this.analyzeNestingDepth(content, langInfo), parameterAnalysis: this.analyzeParameters(functions), returnPointAnalysis: this.analyzeReturnPoints(functions), cognitiveLoad: this.calculateCognitiveLoad(content, langInfo), rating: 'A' }; } /** * Calculate Cyclomatic Complexity from Tokens (100% accurate) * No false positives from comments or strings */ calculateCyclomaticComplexityFromTokens(codeTokens, langInfo = {language: 'javascript'}) { let complexity = 1; // Base complexity // Language-specific decision keywords const config = langInfo.config || this.languageDetector.getConfig(langInfo.language); const decisionKeywords = config.keywords.control || ['if', 'for', 'while', 'case', 'catch', 'do']; // Count decision keywords complexity += this.tokenizer.countKeywords(codeTokens, decisionKeywords); // Count logical operators (&&, || or language equivalents) const logicalOps = codeTokens.filter(t => t.type === 'OPERATOR' && (t.value === '&&' || t.value === '||' || t.value === 'and' || t.value === 'or') ); complexity += logicalOps.length; // Count ternary operators (?) const ternaryOps = codeTokens.filter(t => t.type === 'OPERATOR' && t.value === '?' ); complexity += ternaryOps.length; return { total: complexity, average: complexity, // Will be updated in generateReport perFunction: [] // Will be populated per function }; } /** * Calculate Cyclomatic Complexity (McCabe) - Legacy method * @deprecated Use calculateCyclomaticComplexityFromTokens for accuracy */ calculateCyclomaticComplexity(content) { let complexity = 1; // Base complexity // Decision points const decisionPoints = [ /\bif\s*\(/g, /\belse\s+if\s*\(/g, /\bfor\s*\(/g, /\bwhile\s*\(/g, /\bcase\s+/g, /\bcatch\s*\(/g, /\&\&/g, /\|\|/g, /\?\s*[^:]+:/g, // Ternary /\bdo\s*\{/g ]; decisionPoints.forEach(pattern => { const matches = content.match(pattern); if (matches) { complexity += matches.length; } }); // Calculate per function const functions = this.extractFunctions(content); const perFunction = functions.map(fn => { let fnComplexity = 1; decisionPoints.forEach(pattern => { const matches = fn.body.match(pattern); if (matches) { fnComplexity += matches.length; } }); return { name: fn.name, complexity: fnComplexity, severity: this.getComplexitySeverity(fnComplexity) }; }); return { total: complexity, average: functions.length > 0 ? Math.round(complexity / functions.length) : 0, perFunction: perFunction.filter(f => f.complexity > 5) // Only show complex functions }; } /** * Calculate Cognitive Complexity (considers nesting) */ calculateCognitiveComplexity(content) { let complexity = 0; const lines = content.split('\n'); let nestingLevel = 0; lines.forEach(line => { // Track nesting const openBraces = (line.match(/\{/g) || []).length; const closeBraces = (line.match(/\}/g) || []).length; // Increment nesting if (/\b(?:if|for|while|switch|catch)\s*\(/.test(line)) { complexity += (1 + nestingLevel); // Add penalty for nesting nestingLevel++; } // Logical operators add complexity if (/\&\&|\|\|/.test(line)) { complexity += 1; } // Adjust nesting level nestingLevel += (openBraces - closeBraces); nestingLevel = Math.max(0, nestingLevel); }); return { score: complexity, severity: this.getComplexitySeverity(complexity) }; } /** * Calculate Maintainability Index * MI = 171 - 5.2 * ln(HV) - 0.23 * CC - 16.2 * ln(LOC) * Simplified version using available metrics */ calculateMaintainabilityIndex(content) { const loc = this.calculateLOC(content); const cc = this.calculateCyclomaticComplexity(content); const commentRatio = this.calculateCommentRatio(content); // Simplified formula (0-100 scale) let mi = 100; mi -= (cc.total * 2); // Complexity penalty mi -= (Math.log(loc.total) * 5); // Size penalty mi += (commentRatio * 20); // Comment bonus mi = Math.max(0, Math.min(100, Math.round(mi))); return { score: mi, rating: mi >= 80 ? 'A' : mi >= 60 ? 'B' : mi >= 40 ? 'C' : 'D', factors: { linesOfCode: loc.total, cyclomaticComplexity: cc.total, commentRatio: Math.round(commentRatio * 100) } }; } /** * Calculate Halstead Metrics * Measures program vocabulary and volume */ calculateHalsteadMetrics(content) { // Operators const operators = [ /\+(?!=)/g, /-(?!=)/g, /\*(?!=)/g, /\/(?!=)/g, /%/g, /===/g, /!==?/g, /<=?/g, />=?/g, /&&/g, /\|\|/g, /!/g, /=/g, /\+=/g, /-=/g, /\*=/g, /\/=/g, /\?/g, /:/g ]; // Operands (identifiers and literals) const identifiers = content.match(/\b[a-zA-Z_$][a-zA-Z0-9_$]*\b/g) || []; const literals = content.match(/\b\d+\b|'[^']*'|"[^"]*"|`[^`]*`/g) || []; // Count unique and total const uniqueOperators = new Set(); let totalOperators = 0; operators.forEach(pattern => { const matches = content.match(pattern); if (matches) { uniqueOperators.add(pattern.toString()); totalOperators += matches.length; } }); const uniqueOperands = new Set([...identifiers, ...literals]); const totalOperands = identifiers.length + literals.length; // Halstead metrics const n1 = uniqueOperators.size; const n2 = uniqueOperands.size; const N1 = totalOperators; const N2 = totalOperands; const vocabulary = n1 + n2; const length = N1 + N2; const volume = length * Math.log2(vocabulary || 1); const difficulty = (n1 / 2) * (N2 / (n2 || 1)); const effort = volume * difficulty; return { vocabulary, length, volume: Math.round(volume), difficulty: Math.round(difficulty * 10) / 10, effort: Math.round(effort), estimatedBugs: Math.round(volume / 3000 * 100) / 100 }; } /** * Calculate Lines of Code */ calculateLOC(content) { const lines = content.split('\n'); let total = lines.length; let code = 0; let comments = 0; let blank = 0; let inBlockComment = false; lines.forEach(line => { const trimmed = line.trim(); if (trimmed === '') { blank++; } else if (inBlockComment) { comments++; if (trimmed.includes('*/')) { inBlockComment = false; } } else if (trimmed.startsWith('/*')) { comments++; inBlockComment = !trimmed.includes('*/'); } else if (trimmed.startsWith('//')) { comments++; } else { code++; } }); return { total, code, comments, blank }; } /** * Calculate comment ratio */ calculateCommentRatio(content) { const loc = this.calculateLOC(content); return loc.code > 0 ? loc.comments / loc.code : 0; } /** * Extract functions from content */ extractFunctions(content) { const functions = []; // Match function declarations const functionPattern = /(?:function\s+(\w+)|(?:const|let|var)\s+(\w+)\s*=\s*(?:async\s+)?\([^)]*\)\s*=>)\s*\{/g; let match; while ((match = functionPattern.exec(content)) !== null) { const name = match[1] || match[2]; const startIndex = match.index; // Find function body (simple brace matching) let braceCount = 0; let endIndex = startIndex; for (let i = startIndex; i < content.length; i++) { if (content[i] === '{') braceCount++; if (content[i] === '}') braceCount--; if (braceCount === 0 && i > startIndex) { endIndex = i; break; } } functions.push({ name, body: content.substring(startIndex, endIndex) }); } return functions; } /** * Get complexity severity level */ getComplexitySeverity(complexity) { if (complexity > this.thresholds.complexity.high) return 'HIGH'; if (complexity > this.thresholds.complexity.medium) return 'MEDIUM'; if (complexity > this.thresholds.complexity.low) return 'LOW'; return 'MINIMAL'; } /** * Calculate overall rating */ calculateRating(metrics) { const mi = metrics.maintainabilityIndex.score; const cc = metrics.cyclomaticComplexity.total; if (mi >= 80 && cc < 10) return 'A'; if (mi >= 60 && cc < 20) return 'B'; if (mi >= 40 && cc < 30) return 'C'; if (mi >= 20 && cc < 40) return 'D'; return 'F'; } /** * DEEP per-function analysis with exact metrics */ analyzeFunctionsDeep(functions, content) { return functions.map(fn => { const fnComplexity = this.calculateFunctionComplexity(fn.body); const nestingDepth = this.calculateMaxNesting(fn.body); const returnPoints = this.countReturnPoints(fn.body); const paramCount = this.countParameters(fn.signature); const cognitiveScore = this.calculateFunctionCognitiveLoad(fn.body); return { name: fn.name, line: fn.startLine, length: fn.lines, cyclomaticComplexity: fnComplexity, nestingDepth, returnPoints, parameterCount: paramCount, cognitiveComplexity: cognitiveScore, issues: this.identifyFunctionIssues(fn, fnComplexity, nestingDepth, returnPoints, paramCount), severity: this.calculateFunctionSeverity(fnComplexity, nestingDepth, returnPoints, paramCount, fn.lines) }; }); } /** * Extract functions with DEEP context (line numbers, signatures, full body) */ extractFunctionsDeep(content) { const functions = []; const lines = content.split('\n'); const patterns = [ /function\s+(\w+)\s*\(([^)]*)\)/, // function name(params) /(?:const|let|var)\s+(\w+)\s*=\s*function\s*\(([^)]*)\)/, // const name = function(params) /(?:const|let|var)\s+(\w+)\s*=\s*(?:async\s+)?\(([^)]*)\)\s*=>/, // const name = (params) => /(\w+)\s*\(([^)]*)\)\s*{/, // name(params) { - method syntax /(?:async\s+)?(\w+)\s*\(([^)]*)\)\s*{/ // async name(params) { ]; let inFunction = false; let braceCount = 0; let currentFunction = null; let functionBody = []; lines.forEach((line, lineIndex) => { // Check if line starts a function for (const pattern of patterns) { const match = pattern.exec(line); if (match && !inFunction) { inFunction = true; braceCount = 0; currentFunction = { name: match[1] || 'anonymous', signature: line.trim(), startLine: lineIndex + 1, body: '', lines: 0 }; functionBody = []; break; } } if (inFunction) { functionBody.push(line); braceCount += (line.match(/{/g) || []).length; braceCount -= (line.match(/}/g) || []).length; if (braceCount === 0 && functionBody.length > 1) { currentFunction.body = functionBody.join('\n'); currentFunction.lines = functionBody.length; functions.push(currentFunction); inFunction = false; currentFunction = null; functionBody = []; } } }); return functions; } /** * Calculate complexity for specific function */ calculateFunctionComplexity(functionBody) { let complexity = 1; const decisionPoints = [ /\bif\s*\(/g, /\belse\s+if\s*\(/g, /\bfor\s*\(/g, /\bwhile\s*\(/g, /\bcase\s+/g, /\bcatch\s*\(/g, /\&\&/g, /\|\|/g, /\?\s*[^:]+:/g, /\bdo\s*\{/g ]; decisionPoints.forEach(pattern => { const matches = functionBody.match(pattern); if (matches) complexity += matches.length; }); return complexity; } /** * Calculate maximum nesting depth */ calculateMaxNesting(code) { const lines = code.split('\n'); let currentDepth = 0; let maxDepth = 0; lines.forEach(line => { // Increment depth for control structures if (/\b(?:if|for|while|switch|try|catch|function|class)\s*[\({]/.test(line)) { currentDepth++; maxDepth = Math.max(maxDepth, currentDepth); } // Decrement for closing braces const closeBraces = (line.match(/}/g) || []).length; currentDepth = Math.max(0, currentDepth - closeBraces); }); return maxDepth; } /** * Count return points in function */ countReturnPoints(functionBody) { const returns = functionBody.match(/\breturn\b/g); return returns ? returns.length : 0; } /** * Count function parameters */ countParameters(signature) { const paramsMatch = signature.match(/\(([^)]*)\)/); if (!paramsMatch || !paramsMatch[1].trim()) return 0; const params = paramsMatch[1].split(',').filter(p => p.trim().length > 0); return params.length; } /** * Calculate cognitive load for specific function */ calculateFunctionCognitiveLoad(functionBody) { let load = 0; const lines = functionBody.split('\n'); let nestingLevel = 0; lines.forEach(line => { // Nesting structures increase cognitive load exponentially if (/\b(?:if|for|while|switch)\s*\(/.test(line)) { load += (1 + nestingLevel * 2); // Exponential penalty nestingLevel++; } // Logical operators const andOr = (line.match(/\&\&|\|\|/g) || []).length; load += andOr; // Callbacks and promises if (/\.then\(|\.catch\(|callback/.test(line)) { load += 2; } // Closing braces const closeBraces = (line.match(/}/g) || []).length; nestingLevel = Math.max(0, nestingLevel - closeBraces); }); return load; } /** * Identify specific function issues */ identifyFunctionIssues(fn, complexity, nesting, returns, params) { const issues = []; if (complexity > 20) { issues.push({ type: 'HIGH_COMPLEXITY', severity: 'CRITICAL', message: `Cyclomatic complexity ${complexity} exceeds threshold (20)`, line: fn.startLine }); } else if (complexity > 10) { issues.push({ type: 'MEDIUM_COMPLEXITY', severity: 'HIGH', message: `Cyclomatic complexity ${complexity} exceeds recommended threshold (10)`, line: fn.startLine }); } if (nesting > 5) { issues.push({ type: 'DEEP_NESTING', severity: 'HIGH', message: `Maximum nesting depth ${nesting} exceeds threshold (5)`, line: fn.startLine }); } else if (nesting > 3) { issues.push({ type: 'MODERATE_NESTING', severity: 'MEDIUM', message: `Nesting depth ${nesting} should be reduced`, line: fn.startLine }); } if (returns > 5) { issues.push({ type: 'TOO_MANY_RETURNS', severity: 'MEDIUM', message: `Function has ${returns} return points (recommended: 1-3)`, line: fn.startLine }); } if (params > 5) { issues.push({ type: 'TOO_MANY_PARAMETERS', severity: 'HIGH', message: `Function has ${params} parameters (recommended: 5)`, line: fn.startLine }); } else if (params > 3) { issues.push({ type: 'MANY_PARAMETERS', severity: 'LOW', message: `Consider reducing ${params} parameters`, line: fn.startLine }); } if (fn.lines > 100) { issues.push({ type: 'LONG_FUNCTION', severity: 'HIGH', message: `Function is ${fn.lines} lines (recommended: 50)`, line: fn.startLine }); } else if (fn.lines > 50) { issues.push({ type: 'LONG_FUNCTION', severity: 'MEDIUM', message: `Function is ${fn.lines} lines, consider splitting`, line: fn.startLine }); } return issues; } /** * Calculate function severity level */ calculateFunctionSeverity(complexity, nesting, returns, params, length) { let score = 0; if (complexity > 20) score += 3; else if (complexity > 10) score += 2; else if (complexity > 5) score += 1; if (nesting > 5) score += 3; else if (nesting > 3) score += 2; else if (nesting > 2) score += 1; if (returns > 5) score += 2; else if (returns > 3) score += 1; if (params > 5) score += 2; else if (params > 3) score += 1; if (length > 100) score += 3; else if (length > 50) score += 2; if (score >= 8) return 'CRITICAL'; if (score >= 5) return 'HIGH'; if (score >= 3) return 'MEDIUM'; return 'LOW'; } /** * Analyze nesting depth distribution */ analyzeNestingDepth(content) { const lines = content.split('\n'); let currentDepth = 0; let maxDepth = 0; const depthDistribution = {}; lines.forEach(line => { if (/\b(?:if|for|while|switch|try|catch)\s*[\({]/.test(line)) { currentDepth++; maxDepth = Math.max(maxDepth, currentDepth); depthDistribution[currentDepth] = (depthDistribution[currentDepth] || 0) + 1; } const closeBraces = (line.match(/}/g) || []).length; currentDepth = Math.max(0, currentDepth - closeBraces); }); return { maxDepth, distribution: depthDistribution, averageDepth: Object.entries(depthDistribution).reduce((sum, [depth, count]) => sum + (parseInt(depth) * count), 0) / (Object.values(depthDistribution).reduce((s, c) => s + c, 0) || 1) }; } /** * Analyze parameters across all functions */ analyzeParameters(functions) { const paramCounts = functions.map(fn => this.countParameters(fn.signature)); const maxParams = Math.max(...paramCounts, 0); const avgParams = paramCounts.length > 0 ? paramCounts.reduce((sum, count) => sum + count, 0) / paramCounts.length : 0; const highParamFunctions = functions.filter(fn => this.countParameters(fn.signature) > 5 ); return { maxParameters: maxParams, averageParameters: Math.round(avgParams * 10) / 10, functionsWithManyParams: highParamFunctions.map(fn => ({ name: fn.name, line: fn.startLine, paramCount: this.countParameters(fn.signature) })) }; } /** * Analyze return points distribution */ analyzeReturnPoints(functions) { const returnCounts = functions.map(fn => this.countReturnPoints(fn.body)); const maxReturns = Math.max(...returnCounts, 0); const avgReturns = returnCounts.length > 0 ? returnCounts.reduce((sum, count) => sum + count, 0) / returnCounts.length : 0; const multiReturnFunctions = functions.filter(fn => this.countReturnPoints(fn.body) > 3 ); return { maxReturnPoints: maxReturns, averageReturnPoints: Math.round(avgReturns * 10) / 10, functionsWithManyReturns: multiReturnFunctions.map(fn => ({ name: fn.name, line: fn.startLine, returnCount: this.countReturnPoints(fn.body) })) }; } /** * Calculate overall cognitive load */ calculateCognitiveLoad(content) { let totalLoad = 0; const functions = this.extractFunctionsDeep(content); functions.forEach(fn => { totalLoad += this.calculateFunctionCognitiveLoad(fn.body); }); const avgLoad = functions.length > 0 ? totalLoad / functions.length : 0; return { total: totalLoad, average: Math.round(avgLoad), severity: avgLoad > 50 ? 'CRITICAL' : avgLoad > 30 ? 'HIGH' : avgLoad > 15 ? 'MEDIUM' : 'LOW' }; } /** * Identify all complexity issues in file */ identifyComplexityIssues(metrics) { const issues = []; // Aggregate all function issues if (metrics.functionMetrics) { metrics.functionMetrics.forEach(fn => { if (fn.issues && fn.issues.length > 0) { issues.push(...fn.issues); } }); } // File-level issues if (metrics.cyclomaticComplexity.total > 100) { issues.push({ type: 'FILE_TOO_COMPLEX', severity: 'HIGH', message: `File complexity ${metrics.cyclomaticComplexity.total} is very high`, line: 1 }); } if (metrics.nestingAnalysis.maxDepth > 6) { issues.push({ type: 'FILE_DEEP_NESTING', severity: 'HIGH', message: `Maximum nesting depth ${metrics.nestingAnalysis.maxDepth} in file`, line: 1 }); } if (metrics.maintainabilityIndex.score < 40) { issues.push({ type: 'LOW_MAINTAINABILITY', severity: 'CRITICAL', message: `Maintainability index ${metrics.maintainabilityIndex.score} is critically low`, line: 1 }); } return issues; } /** * Generate complexity report with DEEP insights */ generateReport(allMetrics) { const summary = { totalFiles: allMetrics.length, averageComplexity: 0, averageMaintainability: 0, ratingDistribution: { A: 0, B: 0, C: 0, D: 0, F: 0 }, mostComplex: [], leastMaintainable: [], worstFunctions: [], deepestNesting: [], mostParameters: [], mostReturns: [], highestCognitiveLoad: [] }; if (!allMetrics || allMetrics.length === 0) { return { average: 0, total: 0, fileCount: 0, ratingDistribution: { A: 0, B: 0, C: 0, D: 0, F: 0 }, worstFunctions: [], deepestNesting: [], mostParameters: [], mostReturns: [], highestCognitiveLoad: [] }; } let allFunctions = []; let allIssues = []; allMetrics.forEach(m => { summary.averageComplexity += m.cyclomaticComplexity.total; summary.averageMaintainability += m.maintainabilityIndex.score; summary.ratingDistribution[m.rating]++; // Collect all functions for ranking if (m.functionMetrics) { m.functionMetrics.forEach(fn => { allFunctions.push({ ...fn, filePath: m.filePath }); }); } // Collect all issues if (m.issues) { allIssues.push(...m.issues.map(issue => ({ ...issue, filePath: m.filePath }))); } }); summary.averageComplexity = Math.round(summary.averageComplexity / allMetrics.length); summary.averageMaintainability = Math.round(summary.averageMaintainability / allMetrics.length); // Most complex files summary.mostComplex = allMetrics .sort((a, b) => b.cyclomaticComplexity.total - a.cyclomaticComplexity.total) .slice(0, 10) .map(m => ({ filePath: m.filePath, complexity: m.cyclomaticComplexity.total, functions: m.functionMetrics ? m.functionMetrics.length : 0 })); // Least maintainable files summary.leastMaintainable = allMetrics .sort((a, b) => a.maintainabilityIndex.score - b.maintainabilityIndex.score) .slice(0, 10) .map(m => ({ filePath: m.filePath, score: m.maintainabilityIndex.score, rating: m.maintainabilityIndex.rating })); // Worst functions by complexity summary.worstFunctions = allFunctions .sort((a, b) => (b.cyclomaticComplexity || 0) - (a.cyclomaticComplexity || 0)) .slice(0, 20) .map(fn => ({ name: fn.name, filePath: fn.filePath, line: fn.line, cyclomaticComplexity: fn.cyclomaticComplexity, nestingDepth: fn.nestingDepth, cognitiveComplexity: fn.cognitiveComplexity, severity: fn.severity })); // Deepest nesting summary.deepestNesting = allFunctions .sort((a, b) => (b.nestingDepth || 0) - (a.nestingDepth || 0)) .slice(0, 10) .map(fn => ({ name: fn.name, filePath: fn.filePath, line: fn.line, depth: fn.nestingDepth })); // Most parameters summary.mostParameters = allFunctions .sort((a, b) => (b.parameterCount || 0) - (a.parameterCount || 0)) .slice(0, 10) .map(fn => ({ name: fn.name, filePath: fn.filePath, line: fn.line, params: fn.parameterCount })); // Most return points summary.mostReturns = allFunctions .sort((a, b) => (b.returnPoints || 0) - (a.returnPoints || 0)) .slice(0, 10) .map(fn => ({ name: fn.name, filePath: fn.filePath, line: fn.line, returns: fn.returnPoints })); // Highest cognitive load summary.highestCognitiveLoad = allFunctions .sort((a, b) => (b.cognitiveComplexity || 0) - (a.cognitiveComplexity || 0)) .slice(0, 10) .map(fn => ({ name: fn.name, filePath: fn.filePath, line: fn.line, cognitiveLoad: fn.cognitiveComplexity })); // Issue summary summary.totalIssues = allIssues.length; summary.issuesBySeverity = { CRITICAL: allIssues.filter(i => i.severity === 'CRITICAL').length, HIGH: allIssues.filter(i => i.severity === 'HIGH').length, MEDIUM: allIssues.filter(i => i.severity === 'MEDIUM').length, LOW: allIssues.filter(i => i.severity === 'LOW').length }; summary.topIssueTypes = this.aggregateIssueTypes(allIssues); // Return in format expected by markdown reporter return { average: summary.averageComplexity, total: allMetrics.reduce((sum, m) => sum + (m.cyclomaticComplexity?.total || 0), 0), fileCount: allMetrics.length, ratingDistribution: summary.ratingDistribution, worstFunctions: summary.worstFunctions, deepestNesting: summary.deepestNesting, mostParameters: summary.mostParameters, mostReturns: summary.mostReturns, highestCognitiveLoad: summary.highestCognitiveLoad, totalIssues: summary.totalIssues, issuesBySeverity: summary.issuesBySeverity }; } /** * Aggregate issue types for summary */ aggregateIssueTypes(allIssues) { const typeCounts = {}; allIssues.forEach(issue => { typeCounts[issue.type] = (typeCounts[issue.type] || 0) + 1; }); return Object.entries(typeCounts) .sort((a, b) => b[1] - a[1]) .slice(0, 10) .map(([type, count]) => ({ type, count })); } /** * Get parser used for analysis */ getParserUsed() { return this.tokenizer.getParserUsed ? this.tokenizer.getParserUsed() : 'built-in'; } // ============================================ // AST-BASED ANALYSIS METHODS // These methods unlock the full power of Babel // ============================================ /** * Calculate Cyclomatic Complexity from AST * More accurate than token-based counting */ calculateCyclomaticFromAST(ast) { let total = 0; const perFunction = []; const traverse = (node, inFunction = null) => { if (!node || typeof node !== 'object') return; let localComplexity = 0; // Decision points if (node.type === 'IfStatement' || node.type === 'ConditionalExpression') { localComplexity++; total++; } if (node.type === 'ForStatement' || node.type === 'WhileStatement' || node.type === 'DoWhileStatement' || node.type === 'ForInStatement' || node.type === 'ForOfStatement') { localComplexity++; total++; } if (node.type === 'SwitchCase' && node.test !== null) { localComplexity++; total++; } if (node.type === 'CatchClause') { localComplexity++; total++; } if (node.type === 'LogicalExpression') { localComplexity++; total++; } // Track function context let currentFunction = inFunction; if (node.type === 'FunctionDeclaration' || node.type === 'FunctionExpression' || node.type === 'ArrowFunctionExpression' || node.type === 'MethodDefinition') { currentFunction = { name: node.id?.name || node.key?.name || 'anonymous', complexity: 1, // Base complexity line: node.loc?.start?.line || 0 }; perFunction.push(currentFunction); } if (currentFunction && localComplexity > 0) { currentFunction.complexity += localComplexity; } // Traverse children for (const key in node) { if (key === 'loc' || key === 'range' || key === 'start' || key === 'end') continue; const child = node[key]; if (Array.isArray(child)) { child.forEach(c => traverse(c, currentFunction)); } else if (child && typeof child === 'object') { traverse(child, currentFunction); } } }; traverse(ast); return { total: Math.max(total, 1), average: perFunction.length > 0 ? total / perFunction.length : 1, perFunction }; } /** * Calculate Cognitive Complexity from AST * Measures how hard code is to understand */ calculateCognitiveFromAST(ast) { let complexity = 0; let nestingLevel = 0; const traverse = (node, nesting = 0) => { if (!node || typeof node !== 'object') return; // Increase complexity based on structure + nesting if (node.type === 'IfStatement') { complexity += (1 + nesting); traverse(node.consequent, nesting + 1); if (node.alternate) { if (node.alternate.type === 'IfStatement') { complexity += 1; // else if } traverse(node.alternate, nesting + 1); } return; } if (node.type === 'ForStatement' || node.type === 'WhileStatement' || node.type === 'DoWhileStatement' || node.type === 'ForInStatement' || node.type === 'ForOfStatement') { complexity += (1 + nesting); traverse(node.body, nesting + 1); return; } if (node.type === 'SwitchStatement') { complexity += (1 + nesting); node.cases.forEach(c => traverse(c, nesting + 1)); return; } if (node.type === 'CatchClause') { complexity += (1 + nesting); traverse(node.body, nesting + 1); return; } if (node.type === 'LogicalExpression') { complexity += 1; } if (node.type === 'ConditionalExpression') { complexity += (1 + nesting); } // Traverse children for (const key in node) { if (key === 'loc' || key === 'range' || key === 'start' || key === 'end') continue; const child = node[key]; if (Array.isArray(child)) { child.forEach(c => traverse(c, nesting)); } else if (child && typeof child === 'object') { traverse(child, nesting); } } }; traverse(ast); return Math.max(complexity, 1); } /** * Analyze functions from AST * Extract detailed function metrics */ analyzeFunctionsFromAST(ast, content) { const functions = []; const traverse = (node) => { if (!node || typeof node !== 'object') return; if (node.type === 'FunctionDeclaration' || node.type === 'FunctionExpression' || node.type === 'ArrowFunctionExpression') { const funcInfo = { name: node.id?.name || 'anonymous', type: node.type, async: node.async || false, generator: node.generator || false, params: node.params?.length || 0, line: node.loc?.start?.line || 0, endLine: node.loc?.end?.line || 0, linesOfCode: (node.loc?.end?.line || 0) - (node.loc?.start?.line || 0) + 1, returnPoints: this.countReturnsInNode(node.body), complexity: this.calculateNodeComplexity(node.body) }; functions.push(funcInfo); } if (node.type === 'MethodDefinition') { const funcInfo = { name: node.key?.name || 'method', type: 'Method', kind: node.kind, // get, set, constructor, method static: node.static || false, async: node.value?.async || false, params: node.value?.params?.length || 0, line: node.loc?.start?.line || 0, endLine: node.loc?.end?.line || 0, linesOfCode: (node.loc?.end?.line || 0) - (node.loc?.start?.line || 0) + 1, returnPoints: this.countReturnsInNode(node.value?.body), complexity: this.calculateNodeComplexity(node.value?.body) }; functions.push(funcInfo); } // Traverse children for (const key in node) { if (key === 'loc' || key === 'range' || key === 'start' || key === 'end') continue; const child = node[key]; if (Array.isArray(child)) { child.forEach(traverse); } else if (child && typeof child === 'object') { traverse(child); } } }; traverse(ast); return functions; } /** * Count return statements in a node */ countReturnsInNode(node) { let count = 0; const traverse = (n) => { if (!n || typeof n !== 'object') return; if (n.type === 'ReturnStatement') count++; for (const key in n) { if (key === 'loc' || key === 'range' || key === 'start' || key === 'end') continue; const child = n[key]; if (Array.isArray(child)) { child.forEach(traverse); } else if (child && typeof child === 'object') { traverse(child); } } }; traverse(node); return count; } /** * Calculate complexity for a single node */ calculateNodeComplexity(node) { let complexity = 1; const traverse = (n) => { if (!n || typeof n !== 'object') return; if (n.type === 'IfStatement' || n.type === 'ForStatement' || n.type === 'WhileStatement' || n.type === 'SwitchCase' || n.type === 'CatchClause' || n.type === 'LogicalExpression') { complexity++; } for (const key in n) { if (key === 'loc' || key === 'range' || key === 'start' || key === 'end') continue; const child = n[key]; if (Array.isArray(child)) { child.forEach(traverse); } else if (child && typeof child === 'object') { traverse(child); } } }; traverse(node); return complexity; } /** * Analyze nesting depth from AST */ analyzeNestingFromAST(ast) { let maxDepth = 0; const locations = []; const traverse = (node, depth = 0) => { if (!node || typeof node !== 'object') return; if (node.type === 'IfStatement' || node.type === 'ForStatement' || node.type === 'WhileStatement' || node.type === 'SwitchStatement') { const newDepth = depth + 1; if (newDepth > maxDepth) { maxDepth = newDepth; if (maxDepth > 3) { locations.push({ type: node.type, depth: maxDepth, line: node.loc?.start?.line || 0 }); } } for (const key in node) { if (key === 'loc' || key === 'range' || key === 'start' || key === 'end') continue; const child = node[key]; if (Array.isArray(child)) { child.forEach(c => traverse(c, newDepth)); } else if (child && typeof child === 'object') { traverse(child, newDepth); } } return; } for (const key in node) { if (key === 'loc' || key === 'range' || key === 'start' || key === 'end') continue; const child = node[key]; if (Array.isArray(child)) { child.forEach(c => traverse(c, depth)); } else if (child && typeof child === 'object') { traverse(child, depth); } } }; traverse(ast); return { maxDepth, deeplyNested: locations.slice(0, 5) }; } /** * Analyze parameters from AST */ analyzeParametersFromAST(ast) { const functions = this.analyzeFunctionsFromAST(ast, ''); const longParams = functions.filter(f => f.params > 5); return { maxParams: functions.length > 0 ? Math.max(...functions.map(f => f.params)) : 0, avgParams: functions.length > 0 ? functions.reduce((sum, f) => sum + f.params, 0) / functions.length : 0, longParameterLists: longParams.map(f => ({ name: f.name, params: f.params, line: f.line })) }; } /** * Analyze return points from AST */ analyzeReturnPointsFromAST(ast) { const functions = this.analyzeFunctionsFromAST(ast, ''); const multiReturn = functions.filter(f => f.returnPoints > 3); return { maxReturns: functions.length > 0 ? Math.max(...functions.map(f => f.returnPoints)) : 0, avgReturns: functions.length > 0 ? functions.reduce((sum, f) => sum + f.returnPoints, 0) / functions.length : 0, multipleReturnPoints: multiReturn.map(f => ({ name: f.name, returns: f.returnPoints, line: f.line })) }; } /** * Calculate cognitive load from AST */ calculateCognitiveLoadFromAST(ast) { const nesting = this.analyzeNestingFromAST(ast); const functions = this.analyzeFunctionsFromAST(ast, ''); const avgComplexity = functions.length > 0 ? functions.reduce((sum, f) => sum + f.complexity, 0) / functions.length : 1; return { score: Math.round(avgComplexity * (1 + nesting.maxDepth * 0.5)), factors: { avgFunctionComplexity: avgComplexity.toFixed(2), maxNestingDepth: nesting.maxDepth, functionCount: functions.length } }; } /** * Calculate Halstead metrics from AST */ calculateHalsteadFromAST(ast) { const operators = new Set(); const operands = new Set(); let operatorCount = 0; let operandCount = 0; const traverse = (node) => { if (!node || typeof node !== 'object') return; // Operators if (node.type === 'BinaryExpression' || node.type === 'LogicalExpression' || node.type === 'UnaryExpression' || node.type === 'UpdateExpression' || node.type === 'AssignmentExpression') { operators.add(node.operator); operatorCount++; } // Operands if (node.type === 'Identifier') { operands.add(node.name); operandCount++; } if (node.type === 'Literal' || node.type === 'NumericLiteral' || node.type === 'StringLiteral' || node.type === 'BooleanLiteral') { operands.add(String(node.value)); operandCount++; } for (const key in node) { if (key === 'loc' || key === 'range' || key === 'start' || key === 'end') continue; const child = node[key]; if (Array.isArray(child)) { child.forEach(traverse); } else if (child && typeof child === 'object') { traverse(child); } } }; traverse(ast); const n1 = operators.size; const n2 = operands.size; const N1 = operatorCount; const N2 = operandCount; const vocabulary = n1 + n2; const length = N1 + N2; const volume = length * Math.log2(vocabulary || 1); return { vocabulary, length, volume: Math.round(volume), difficulty: (n1 / 2) * (N2 / (n2 || 1)), effort: volume * ((n1 / 2) * (N2 / (n2 || 1))) }; } /** * Detect modern JavaScript features from AST */ detectModernFeatures(ast) { const features = { asyncAwait: 0, arrowFunctions: 0, destructuring: 0, spreadOperator: 0, templateLiterals: 0, classes: 0, modules: 0, optionalChaining: 0, nullishCoalescing: 0 }; const traverse = (node) => { if (!node || typeof node !== 'object') return; if (node.async) features.asyncAwait++; if (node.type === 'AwaitExpression') features.asyncAwait++; if (node.type === 'ArrowFunctionExpression') features.arrowFunctions++; if (node.type === 'ObjectPattern' || node.type === 'ArrayPattern') features.destructuring++; if (node.type === 'SpreadElement' || node.type === 'RestElement') features.spreadOperator++; if (node.type === 'TemplateLiteral') features.templateLiterals++; if (node.type === 'ClassDeclaration' || node.type === 'ClassExpression') features.classes++; if (node.type === 'ImportDeclaration' || node.type === 'ExportNamedDeclaration' || node.type === 'ExportDefaultDeclaration') features.modules++; if (node.type === 'OptionalMemberExpression' || node.type === 'OptionalCallExpression') features.optionalChaining++; if (node.type === 'LogicalExpression' && node.operator === '??') features.nullishCoalescing++; for (const key in node) { if (key === 'loc' || key === 'range' || key === 'start' || key === 'end') continue; const child = node[key]; if (Array.isArray(child)) { child.forEach(traverse); } else if (child && typeof child === 'object') { traverse(child); } } }; traverse(ast); return features; } } module.exports = ComplexityAnalyzer;