abyss-ai/src/agent/reasoning/hybrid-reasoning-processor.ts

Autonomous AI coding agent - enhanced OpenCode with autonomous capabilities

import { ReasoningMode, type ProcessingContext, type ProcessingResult } from "../types/agent"
import { BaseReasoningProcessor } from "./reasoning-processor"

// Hybrid Reasoning - Multi-Perspective Analysis
export class HybridReasoningProcessor extends BaseReasoningProcessor {
  readonly mode = ReasoningMode.HYBRID_REASONING

  async process(code: string, context: ProcessingContext): Promise<ProcessingResult> {
    this.log.info("Starting hybrid reasoning analysis", { 
      codeLength: code.length,
      context: Object.keys(context) 
    })

    const { result: analysisResult, duration } = await this.measureExecutionTime(async () => {
      // Analyze from multiple perspectives simultaneously
      const perspectives = await this.analyzeFromMultiplePerspectives(code, context)
      const synthesizedAnalysis = await this.synthesizePerspectives(perspectives)
      const conflicts = this.identifyConflicts(perspectives)
      const resolutions = await this.resolveConflicts(conflicts)
      
      return {
        perspectives,
        synthesizedAnalysis,
        conflicts,
        resolutions
      }
    })

    const confidence = this.calculateConfidence(analysisResult)

    return {
      type: 'hybrid-reasoning',
      result: analysisResult.synthesizedAnalysis,
      confidence,
      processingTime: duration,
      perspectives: analysisResult.perspectives,
      conflictResolutions: analysisResult.resolutions
    }
  }

  calculateConfidence(result: any): number {
    if (!result || !result.perspectives) return 0.1
    
    const { perspectives, conflicts, resolutions } = result
    
    // Base confidence on perspective agreement and conflict resolution
    const perspectiveCount = perspectives.length
    const conflictCount = conflicts?.length || 0
    const resolvedCount = resolutions?.resolved?.length || 0
    
    const perspectiveScore = Math.min(1, perspectiveCount / 5) * 0.3
    const agreementScore = (1 - (conflictCount / Math.max(1, perspectiveCount * 2))) * 0.4
    const resolutionScore = conflictCount > 0 ? (resolvedCount / conflictCount) * 0.3 : 0.3
    
    return Math.min(1, perspectiveScore + agreementScore + resolutionScore)
  }

  private async analyzeFromMultiplePerspectives(code: string, context: ProcessingContext) {
    this.log.debug("Analyzing from multiple perspectives")
    
    // Define different analysis perspectives
    const perspectives = await Promise.all([
      this.performancePerspective(code, context),
      this.securityPerspective(code, context),
      this.maintainabilityPerspective(code, context),
      this.functionalityPerspective(code, context),
      this.usabilityPerspective(code, context)
    ])

    return perspectives.filter(p => p.valid)
  }

  private async performancePerspective(code: string, context: ProcessingContext) {
    this.log.debug("Analyzing from performance perspective")
    
    const issues = []
    const recommendations = []
    let score = 1.0
    
    // Algorithmic complexity analysis
    const complexity = this.analyzeAlgorithmicComplexity(code)
    if (complexity.timeComplexity > 'O(n^2)') {
      issues.push({
        type: 'performance',
        severity: 'medium',
        message: `High time complexity: ${complexity.timeComplexity}`,
        suggestion: 'Consider more efficient algorithms'
      })
      score -= 0.2
    }
    
    // Memory usage patterns
    const memoryIssues = this.analyzeMemoryUsage(code)
    if (memoryIssues.length > 0) {
      issues.push(...memoryIssues)
      score -= memoryIssues.length * 0.1
    }
    
    // I/O operation analysis
    const ioIssues = this.analyzeIOOperations(code)
    if (ioIssues.length > 0) {
      issues.push(...ioIssues)
      score -= ioIssues.length * 0.15
    }
    
    // Performance recommendations
    recommendations.push(...this.generatePerformanceRecommendations(code))
    
    return {
      perspective: 'performance',
      score: Math.max(0, score),
      issues,
      recommendations,
      metrics: {
        complexity: complexity,
        memoryFootprint: this.estimateMemoryFootprint(code),
        ioOperations: ioIssues.length
      },
      valid: true
    }
  }

  private analyzeAlgorithmicComplexity(code: string) {
    // Simplified complexity analysis
    const nestedLoops = (code.match(/for\s*\([^}]*for\s*\(/g) || []).length
    const recursion = (code.match(/function\s+(\w+)[^}]*\1\s*\(/g) || []).length
    
    let timeComplexity = 'O(1)'
    let spaceComplexity = 'O(1)'
    
    if (nestedLoops > 1) {
      timeComplexity = 'O(n^3)'
    } else if (nestedLoops === 1) {
      timeComplexity = 'O(n^2)'
    } else if (code.includes('for') || code.includes('while')) {
      timeComplexity = 'O(n)'
    }
    
    if (recursion > 0) {
      timeComplexity = 'O(2^n)' // Worst case for recursion
      spaceComplexity = 'O(n)' // Call stack depth
    }
    
    return { timeComplexity, spaceComplexity, nestedLoops, recursion }
  }

  private analyzeMemoryUsage(code: string) {
    const issues = []
    
    // Large array operations
    if (code.includes('new Array(') && code.match(/new Array\(\s*\d{4,}\s*\)/)) {
      issues.push({
        type: 'memory',
        severity: 'medium',
        message: 'Large array allocation detected',
        suggestion: 'Consider streaming or chunked processing'
      })
    }
    
    // Memory leaks patterns
    if (code.includes('setInterval') && !code.includes('clearInterval')) {
      issues.push({
        type: 'memory',
        severity: 'high',
        message: 'Potential memory leak: uncleaned interval',
        suggestion: 'Ensure clearInterval is called'
      })
    }
    
    // Closure memory retention
    const closurePattern = /function\s*\([^)]*\)\s*{[^}]*return\s+function/g
    const closures = code.match(closurePattern) || []
    if (closures.length > 3) {
      issues.push({
        type: 'memory',
        severity: 'low',
        message: 'Multiple closures may retain memory',
        suggestion: 'Review closure usage for memory efficiency'
      })
    }
    
    return issues
  }

  private analyzeIOOperations(code: string) {
    const issues = []
    
    // Synchronous I/O operations
    if (code.includes('readFileSync') || code.includes('writeFileSync')) {
      issues.push({
        type: 'io',
        severity: 'medium',
        message: 'Synchronous I/O operations block the event loop',
        suggestion: 'Use asynchronous I/O operations'
      })
    }
    
    // Multiple network requests without batching
    const fetchCalls = (code.match(/fetch\s*\(/g) || []).length
    if (fetchCalls > 3) {
      issues.push({
        type: 'io',
        severity: 'medium',
        message: 'Multiple individual network requests',
        suggestion: 'Consider batching or parallel requests'
      })
    }
    
    return issues
  }

  private generatePerformanceRecommendations(code: string): string[] {
    const recommendations = []
    
    if (code.includes('document.querySelector')) {
      recommendations.push('Cache DOM query results to avoid repeated lookups')
    }
    
    if (code.includes('.map(').length > 2) {
      recommendations.push('Consider combining multiple array operations into a single pass')
    }
    
    if (code.includes('JSON.parse') && code.includes('JSON.stringify')) {
      recommendations.push('Minimize JSON serialization/deserialization in hot paths')
    }
    
    return recommendations
  }

  private estimateMemoryFootprint(code: string): string {
    const arrayAllocations = (code.match(/new Array\(/g) || []).length
    const objectCreations = (code.match(/new \w+\(/g) || []).length
    const stringOperations = (code.match(/\+\s*["'`]|["'`]\s*\+/g) || []).length
    
    const score = arrayAllocations * 3 + objectCreations * 2 + stringOperations
    
    if (score > 20) return 'high'
    if (score > 10) return 'medium'
    return 'low'
  }

  private async securityPerspective(code: string, context: ProcessingContext) {
    this.log.debug("Analyzing from security perspective")
    
    const issues = []
    const vulnerabilities = []
    let score = 1.0
    
    // Common security vulnerabilities
    const securityIssues = this.scanForSecurityVulnerabilities(code)
    if (securityIssues.length > 0) {
      issues.push(...securityIssues)
      vulnerabilities.push(...securityIssues.map(i => i.vulnerability))
      score -= securityIssues.length * 0.2
    }
    
    // Input validation analysis
    const validationIssues = this.analyzeInputValidation(code)
    if (validationIssues.length > 0) {
      issues.push(...validationIssues)
      score -= validationIssues.length * 0.15
    }
    
    // Authentication and authorization patterns
    const authIssues = this.analyzeAuthPatterns(code)
    if (authIssues.length > 0) {
      issues.push(...authIssues)
      score -= authIssues.length * 0.25
    }
    
    return {
      perspective: 'security',
      score: Math.max(0, score),
      issues,
      vulnerabilities,
      recommendations: this.generateSecurityRecommendations(issues),
      riskLevel: this.calculateRiskLevel(vulnerabilities),
      valid: true
    }
  }

  private scanForSecurityVulnerabilities(code: string) {
    const vulnerabilities = []
    
    // SQL Injection patterns
    if (code.includes('SELECT') && code.includes('+')) {
      vulnerabilities.push({
        type: 'security',
        vulnerability: 'sql_injection',
        severity: 'high',
        message: 'Potential SQL injection vulnerability',
        suggestion: 'Use parameterized queries'
      })
    }
    
    // XSS vulnerabilities
    if (code.includes('innerHTML') && code.includes('+')) {
      vulnerabilities.push({
        type: 'security',
        vulnerability: 'xss',
        severity: 'high',
        message: 'Potential XSS vulnerability',
        suggestion: 'Sanitize user input before inserting into DOM'
      })
    }
    
    // Eval usage
    if (code.includes('eval(')) {
      vulnerabilities.push({
        type: 'security',
        vulnerability: 'code_injection',
        severity: 'critical',
        message: 'Use of eval() is dangerous',
        suggestion: 'Avoid eval() or use safer alternatives'
      })
    }
    
    // Hardcoded secrets
    const secretPatterns = [
      /password\s*=\s*["'][^"']+["']/i,
      /api_key\s*=\s*["'][^"']+["']/i,
      /secret\s*=\s*["'][^"']+["']/i,
      /token\s*=\s*["'][^"']+["']/i
    ]
    
    secretPatterns.forEach(pattern => {
      if (pattern.test(code)) {
        vulnerabilities.push({
          type: 'security',
          vulnerability: 'hardcoded_secret',
          severity: 'high',
          message: 'Hardcoded secret detected',
          suggestion: 'Use environment variables or secure configuration'
        })
      }
    })
    
    return vulnerabilities
  }

  private analyzeInputValidation(code: string) {
    const issues = []
    
    // Missing input validation
    if (code.includes('req.body') && !code.includes('validate')) {
      issues.push({
        type: 'security',
        severity: 'medium',
        message: 'Request body used without validation',
        suggestion: 'Implement input validation'
      })
    }
    
    // URL parameter usage
    if (code.includes('req.params') && !code.includes('sanitize')) {
      issues.push({
        type: 'security',
        severity: 'medium',
        message: 'URL parameters used without sanitization',
        suggestion: 'Sanitize URL parameters'
      })
    }
    
    return issues
  }

  private analyzeAuthPatterns(code: string) {
    const issues = []
    
    // Missing authentication
    if (code.includes('app.post') && !code.includes('auth')) {
      issues.push({
        type: 'security',
        severity: 'high',
        message: 'POST endpoint without authentication',
        suggestion: 'Add authentication middleware'
      })
    }
    
    // Weak session management
    if (code.includes('session') && !code.includes('secure')) {
      issues.push({
        type: 'security',
        severity: 'medium',
        message: 'Session configuration may be insecure',
        suggestion: 'Enable secure session options'
      })
    }
    
    return issues
  }

  private generateSecurityRecommendations(issues: any[]): string[] {
    const recommendations = []
    
    const highSeverityCount = issues.filter(i => i.severity === 'high').length
    if (highSeverityCount > 0) {
      recommendations.push('Address high-severity security issues immediately')
    }
    
    if (issues.some(i => i.vulnerability === 'sql_injection')) {
      recommendations.push('Implement parameterized queries for database operations')
    }
    
    if (issues.some(i => i.vulnerability === 'xss')) {
      recommendations.push('Implement Content Security Policy (CSP)')
    }
    
    recommendations.push('Perform regular security audits')
    recommendations.push('Keep dependencies updated')
    
    return recommendations
  }

  private calculateRiskLevel(vulnerabilities: any[]): string {
    const criticalCount = vulnerabilities.filter(v => v.severity === 'critical').length
    const highCount = vulnerabilities.filter(v => v.severity === 'high').length
    
    if (criticalCount > 0) return 'critical'
    if (highCount > 2) return 'high'
    if (highCount > 0) return 'medium'
    return 'low'
  }

  private async maintainabilityPerspective(code: string, context: ProcessingContext) {
    this.log.debug("Analyzing from maintainability perspective")
    
    const issues = []
    let score = 1.0
    
    // Code complexity analysis
    const complexity = this.analyzeMaintainabilityComplexity(code)
    if (complexity.score < 0.7) {
      issues.push({
        type: 'maintainability',
        severity: 'medium',
        message: 'High code complexity affects maintainability',
        metrics: complexity
      })
      score -= 0.2
    }
    
    // Documentation analysis
    const documentation = this.analyzeDocumentation(code)
    if (documentation.score < 0.5) {
      issues.push({
        type: 'maintainability',
        severity: 'low',
        message: 'Insufficient code documentation',
        coverage: documentation.coverage
      })
      score -= 0.1
    }
    
    // Code duplication
    const duplication = this.analyzeDuplication(code)
    if (duplication.percentage > 0.2) {
      issues.push({
        type: 'maintainability',
        severity: 'medium',
        message: `High code duplication: ${(duplication.percentage * 100).toFixed(1)}%`,
        suggestion: 'Extract common functionality'
      })
      score -= 0.15
    }
    
    return {
      perspective: 'maintainability',
      score: Math.max(0, score),
      issues,
      metrics: {
        complexity: complexity.score,
        documentation: documentation.score,
        duplication: duplication.percentage,
        maintainabilityIndex: this.calculateMaintainabilityIndex(complexity, documentation, duplication)
      },
      recommendations: this.generateMaintainabilityRecommendations(issues),
      valid: true
    }
  }

  private analyzeMaintainabilityComplexity(code: string) {
    const structure = this.analyzeCodeStructure(code)
    const cyclomaticComplexity = structure.complexity
    const nestingDepth = this.getMaxNestingDepth(code)
    const functionLength = this.getAverageFunctionLength(code)
    
    // Normalize scores (lower complexity = higher score)
    const complexityScore = Math.max(0, 1 - (cyclomaticComplexity / 20))
    const nestingScore = Math.max(0, 1 - (nestingDepth / 6))
    const lengthScore = Math.max(0, 1 - (functionLength / 50))
    
    const overallScore = (complexityScore + nestingScore + lengthScore) / 3
    
    return {
      score: overallScore,
      cyclomaticComplexity,
      nestingDepth,
      averageFunctionLength: functionLength
    }
  }

  private getMaxNestingDepth(code: string): number {
    let maxDepth = 0
    let currentDepth = 0
    
    for (const char of code) {
      if (char === '{') {
        currentDepth++
        maxDepth = Math.max(maxDepth, currentDepth)
      } else if (char === '}') {
        currentDepth--
      }
    }
    
    return maxDepth
  }

  private getAverageFunctionLength(code: string): number {
    const functionMatches = code.match(/function[^{]*{[^}]*}/g) || []
    if (functionMatches.length === 0) return 0
    
    const totalLines = functionMatches.reduce((sum, func) => {
      return sum + func.split('\n').length
    }, 0)
    
    return totalLines / functionMatches.length
  }

  private analyzeDocumentation(code: string) {
    const lines = code.split('\n')
    const codeLines = lines.filter(line => line.trim() && !line.trim().startsWith('//')).length
    const commentLines = lines.filter(line => line.trim().startsWith('//')).length
    const blockComments = (code.match(/\/\*[\s\S]*?\*\//g) || []).length
    
    const totalComments = commentLines + blockComments
    const coverage = codeLines > 0 ? totalComments / codeLines : 0
    const score = Math.min(1, coverage * 3) // Good documentation has ~33% comment ratio
    
    return {
      score,
      coverage,
      commentLines,
      blockComments,
      codeLines
    }
  }

  private analyzeDuplication(code: string) {
    // Simplified duplication analysis
    const lines = code.split('\n').map(line => line.trim()).filter(line => line.length > 10)
    const uniqueLines = new Set(lines)
    const duplicatedLines = lines.length - uniqueLines.size
    const percentage = lines.length > 0 ? duplicatedLines / lines.length : 0
    
    return {
      percentage,
      duplicatedLines,
      totalLines: lines.length
    }
  }

  private calculateMaintainabilityIndex(complexity: any, documentation: any, duplication: any): number {
    // Simplified maintainability index
    const complexityWeight = 0.4
    const documentationWeight = 0.3
    const duplicationWeight = 0.3
    
    const duplicationScore = Math.max(0, 1 - duplication.percentage)
    
    return (
      complexity.score * complexityWeight +
      documentation.score * documentationWeight +
      duplicationScore * duplicationWeight
    )
  }

  private generateMaintainabilityRecommendations(issues: any[]): string[] {
    const recommendations = []
    
    if (issues.some(i => i.type === 'maintainability' && i.message.includes('complexity'))) {
      recommendations.push('Break down complex functions into smaller, focused units')
      recommendations.push('Reduce nesting depth by extracting conditions')
    }
    
    if (issues.some(i => i.message.includes('documentation'))) {
      recommendations.push('Add comments explaining complex logic')
      recommendations.push('Document function parameters and return values')
    }
    
    if (issues.some(i => i.message.includes('duplication'))) {
      recommendations.push('Extract common code into reusable functions')
      recommendations.push('Consider using design patterns to reduce duplication')
    }
    
    return recommendations
  }

  private async functionalityPerspective(code: string, context: ProcessingContext) {
    this.log.debug("Analyzing from functionality perspective")
    
    const issues = []
    let score = 1.0
    
    // Function completeness analysis
    const completeness = this.analyzeFunctionCompleteness(code)
    if (completeness.score < 0.8) {
      issues.push({
        type: 'functionality',
        severity: 'medium',
        message: 'Incomplete function implementations detected',
        details: completeness.issues
      })
      score -= 0.2
    }
    
    // Error handling analysis
    const errorHandling = this.analyzeErrorHandling(code)
    if (errorHandling.score < 0.6) {
      issues.push({
        type: 'functionality',
        severity: 'medium',
        message: 'Insufficient error handling',
        coverage: errorHandling.coverage
      })
      score -= 0.2
    }
    
    // Business logic analysis
    const businessLogic = this.analyzeBusinessLogic(code)
    score += businessLogic.score * 0.1 // Bonus for good business logic
    
    return {
      perspective: 'functionality',
      score: Math.min(1, Math.max(0, score)),
      issues,
      metrics: {
        completeness: completeness.score,
        errorHandling: errorHandling.score,
        businessLogic: businessLogic.score
      },
      recommendations: this.generateFunctionalityRecommendations(issues),
      valid: true
    }
  }

  private analyzeFunctionCompleteness(code: string) {
    const functions = code.match(/function\s+\w+[^{]*{[^}]*}/g) || []
    const issues = []
    let completeCount = 0
    
    functions.forEach((func, index) => {
      const hasReturn = func.includes('return')
      const hasImplementation = func.split('\n').length > 3
      const isComplete = hasReturn && hasImplementation
      
      if (isComplete) {
        completeCount++
      } else {
        issues.push(`Function ${index + 1} appears incomplete`)
      }
    })
    
    const score = functions.length > 0 ? completeCount / functions.length : 1
    
    return { score, issues, totalFunctions: functions.length, completeFunctions: completeCount }
  }

  private analyzeErrorHandling(code: string) {
    const asyncFunctions = (code.match(/async\s+function/g) || []).length
    const tryCatchBlocks = (code.match(/try\s*{[^}]*}\s*catch/g) || []).length
    const promiseCatches = (code.match(/\.catch\s*\(/g) || []).length
    
    const totalAsyncOperations = asyncFunctions + (code.match(/\.then\s*\(/g) || []).length
    const totalErrorHandling = tryCatchBlocks + promiseCatches
    
    const coverage = totalAsyncOperations > 0 ? totalErrorHandling / totalAsyncOperations : 1
    const score = Math.min(1, coverage)
    
    return {
      score,
      coverage,
      asyncFunctions,
      errorHandlingBlocks: totalErrorHandling
    }
  }

  private analyzeBusinessLogic(code: string) {
    // Simple business logic quality assessment
    const hasValidation = code.includes('validate') || code.includes('check')
    const hasLogging = code.includes('log') || code.includes('console')
    const hasConstants = code.includes('const ') && code.includes('=')
    const hasModularStructure = code.includes('function') || code.includes('class')
    
    const qualityIndicators = [hasValidation, hasLogging, hasConstants, hasModularStructure]
    const score = qualityIndicators.filter(Boolean).length / qualityIndicators.length
    
    return { score, indicators: qualityIndicators }
  }

  private generateFunctionalityRecommendations(issues: any[]): string[] {
    const recommendations = []
    
    if (issues.some(i => i.message.includes('Incomplete'))) {
      recommendations.push('Complete function implementations with proper return values')
    }
    
    if (issues.some(i => i.message.includes('error handling'))) {
      recommendations.push('Add comprehensive error handling for async operations')
      recommendations.push('Implement proper error logging and recovery mechanisms')
    }
    
    recommendations.push('Add input validation for all public functions')
    recommendations.push('Consider adding unit tests for critical functionality')
    
    return recommendations
  }

  private async usabilityPerspective(code: string, context: ProcessingContext) {
    this.log.debug("Analyzing from usability perspective")
    
    const issues = []
    let score = 1.0
    
    // API design analysis
    const apiDesign = this.analyzeAPIDesign(code)
    if (apiDesign.score < 0.7) {
      issues.push({
        type: 'usability',
        severity: 'low',
        message: 'API design could be improved',
        suggestions: apiDesign.suggestions
      })
      score -= 0.1
    }
    
    // Code readability
    const readability = this.analyzeReadability(code)
    if (readability.score < 0.6) {
      issues.push({
        type: 'usability',
        severity: 'low',
        message: 'Code readability needs improvement',
        metrics: readability.metrics
      })
      score -= 0.15
    }
    
    return {
      perspective: 'usability',
      score: Math.max(0, score),
      issues,
      metrics: {
        apiDesign: apiDesign.score,
        readability: readability.score
      },
      recommendations: this.generateUsabilityRecommendations(issues),
      valid: true
    }
  }

  private analyzeAPIDesign(code: string) {
    const functions = code.match(/function\s+(\w+)/g) || []
    const suggestions = []
    let score = 1.0
    
    // Function naming analysis
    functions.forEach(func => {
      const name = func.split(/\s+/)[1]
      if (name.length < 3) {
        suggestions.push(`Function name '${name}' is too short`)
        score -= 0.1
      }
      if (!name.match(/^[a-z][A-Za-z]*$/)) {
        suggestions.push(`Function name '${name}' doesn't follow camelCase`)
        score -= 0.05
      }
    })
    
    // Parameter analysis
    const parameterCounts = this.analyzeFunctionParameters(code)
    parameterCounts.forEach(({ name, count }) => {
      if (count > 5) {
        suggestions.push(`Function '${name}' has too many parameters (${count})`)
        score -= 0.1
      }
    })
    
    return {
      score: Math.max(0, score),
      suggestions,
      functionCount: functions.length
    }
  }

  private analyzeFunctionParameters(code: string) {
    const functionRegex = /function\s+(\w+)\s*\(([^)]*)\)/g
    const results = []
    let match
    
    while ((match = functionRegex.exec(code)) !== null) {
      const name = match[1]
      const params = match[2].split(',').filter(p => p.trim()).length
      results.push({ name, count: params })
    }
    
    return results
  }

  private analyzeReadability(code: string) {
    const lines = code.split('\n')
    const metrics = {
      averageLineLength: 0,
      longLineCount: 0,
      commentRatio: 0,
      blankLineRatio: 0
    }
    
    // Calculate metrics
    const nonEmptyLines = lines.filter(line => line.trim())
    const totalLength = nonEmptyLines.reduce((sum, line) => sum + line.length, 0)
    metrics.averageLineLength = nonEmptyLines.length > 0 ? totalLength / nonEmptyLines.length : 0
    
    metrics.longLineCount = lines.filter(line => line.length > 100).length
    
    const commentLines = lines.filter(line => line.trim().startsWith('//')).length
    metrics.commentRatio = lines.length > 0 ? commentLines / lines.length : 0
    
    const blankLines = lines.filter(line => !line.trim()).length
    metrics.blankLineRatio = lines.length > 0 ? blankLines / lines.length : 0
    
    // Calculate readability score
    let score = 1.0
    
    if (metrics.averageLineLength > 80) score -= 0.2
    if (metrics.longLineCount > lines.length * 0.1) score -= 0.2
    if (metrics.commentRatio < 0.1) score -= 0.3
    if (metrics.blankLineRatio < 0.05) score -= 0.1
    
    return {
      score: Math.max(0, score),
      metrics
    }
  }

  private generateUsabilityRecommendations(issues: any[]): string[] {
    const recommendations = []
    
    if (issues.some(i => i.message.includes('API design'))) {
      recommendations.push('Use descriptive function names that explain their purpose')
      recommendations.push('Keep function parameter lists short and focused')
    }
    
    if (issues.some(i => i.message.includes('readability'))) {
      recommendations.push('Break long lines into multiple shorter lines')
      recommendations.push('Add comments to explain complex logic')
      recommendations.push('Use blank lines to separate logical sections')
    }
    
    return recommendations
  }

  private async synthesizePerspectives(perspectives: any[]) {
    this.log.debug("Synthesizing perspectives", { count: perspectives.length })
    
    // Combine insights from all perspectives
    const overallScore = perspectives.reduce((sum, p) => sum + p.score, 0) / perspectives.length
    const allIssues = perspectives.flatMap(p => p.issues || [])
    const allRecommendations = perspectives.flatMap(p => p.recommendations || [])
    
    // Create priority matrix
    const priorityMatrix = this.createPriorityMatrix(perspectives)
    
    // Generate synthesized insights
    const insights = this.generateSynthesizedInsights(perspectives)
    
    return {
      overallScore,
      perspectives: perspectives.map(p => ({
        name: p.perspective,
        score: p.score,
        issueCount: (p.issues || []).length
      })),
      totalIssues: allIssues.length,
      priorityMatrix,
      insights,
      recommendations: this.deduplicateRecommendations(allRecommendations)
    }
  }

  private createPriorityMatrix(perspectives: any[]) {
    const matrix = {
      critical: [],
      high: [],
      medium: [],
      low: []
    }
    
    perspectives.forEach(perspective => {
      const issues = perspective.issues || []
      issues.forEach((issue: any) => {
        const priority = this.calculateIssuePriority(issue, perspective.perspective)
        matrix[priority as keyof typeof matrix].push({
          ...issue,
          perspective: perspective.perspective
        })
      })
    })
    
    return matrix
  }

  private calculateIssuePriority(issue: any, perspective: string): string {
    // Security issues have highest priority
    if (perspective === 'security' && issue.severity === 'high') return 'critical'
    if (perspective === 'security' && issue.severity === 'medium') return 'high'
    
    // Performance issues that affect user experience
    if (perspective === 'performance' && issue.severity === 'high') return 'high'
    
    // Functionality issues
    if (perspective === 'functionality' && issue.severity === 'high') return 'high'
    if (perspective === 'functionality' && issue.severity === 'medium') return 'medium'
    
    // Default mapping
    const severityMap: { [key: string]: string } = {
      'critical': 'critical',
      'high': 'high',
      'medium': 'medium',
      'low': 'low'
    }
    
    return severityMap[issue.severity] || 'low'
  }

  private generateSynthesizedInsights(perspectives: any[]) {
    const insights = []
    
    // Cross-perspective analysis
    const securityPerspective = perspectives.find(p => p.perspective === 'security')
    const performancePerspective = perspectives.find(p => p.perspective === 'performance')
    
    if (securityPerspective && performancePerspective) {
      if (securityPerspective.score < 0.5 && performancePerspective.score > 0.8) {
        insights.push('Code has good performance but significant security concerns')
      }
    }
    
    // Maintainability vs Performance tradeoffs
    const maintainabilityPerspective = perspectives.find(p => p.perspective === 'maintainability')
    if (maintainabilityPerspective && performancePerspective) {
      const gap = Math.abs(maintainabilityPerspective.score - performancePerspective.score)
      if (gap > 0.3) {
        insights.push('Significant gap between maintainability and performance scores')
      }
    }
    
    // Overall quality assessment
    const avgScore = perspectives.reduce((sum, p) => sum + p.score, 0) / perspectives.length
    if (avgScore > 0.8) {
      insights.push('High overall code quality across all perspectives')
    } else if (avgScore < 0.5) {
      insights.push('Multiple perspectives indicate areas for improvement')
    }
    
    return insights
  }

  private deduplicateRecommendations(recommendations: string[]): string[] {
    return Array.from(new Set(recommendations))
  }

  private identifyConflicts(perspectives: any[]) {
    this.log.debug("Identifying conflicts between perspectives")
    
    const conflicts = []
    
    // Performance vs Security conflicts
    const performance = perspectives.find(p => p.perspective === 'performance')
    const security = perspectives.find(p => p.perspective === 'security')
    
    if (performance && security) {
      const perfRecommendations = performance.recommendations || []
      const secRecommendations = security.recommendations || []
      
      // Check for conflicting recommendations
      if (perfRecommendations.some((r: string) => r.includes('cache')) && 
          secRecommendations.some((r: string) => r.includes('sanitize'))) {
        conflicts.push({
          type: 'performance_vs_security',
          description: 'Caching strategies may conflict with security sanitization',
          perspectives: ['performance', 'security'],
          severity: 'medium'
        })
      }
    }
    
    // Maintainability vs Performance conflicts
    const maintainability = perspectives.find(p => p.perspective === 'maintainability')
    if (performance && maintainability) {
      if (performance.score > 0.8 && maintainability.score < 0.5) {
        conflicts.push({
          type: 'performance_vs_maintainability',
          description: 'High performance optimizations may reduce code maintainability',
          perspectives: ['performance', 'maintainability'],
          severity: 'low'
        })
      }
    }
    
    return conflicts
  }

  private async resolveConflicts(conflicts: any[]) {
    this.log.debug("Resolving conflicts", { count: conflicts.length })
    
    const resolutions = []
    const resolved = []
    
    for (const conflict of conflicts) {
      const resolution = await this.resolveConflict(conflict)
      if (resolution) {
        resolutions.push(resolution)
        resolved.push(conflict)
      }
    }
    
    return {
      resolved,
      resolutions,
      unresolved: conflicts.filter(c => !resolved.includes(c))
    }
  }

  private async resolveConflict(conflict: any) {
    switch (conflict.type) {
      case 'performance_vs_security':
        return {
          conflict: conflict.type,
          solution: 'Implement secure caching with proper input validation and sanitization',
          approach: 'hybrid',
          priority: 'security_first'
        }
      
      case 'performance_vs_maintainability':
        return {
          conflict: conflict.type,
          solution: 'Document performance optimizations thoroughly and consider extracting to separate modules',
          approach: 'documentation',
          priority: 'balanced'
        }
      
      default:
        return {
          conflict: conflict.type,
          solution: 'Requires manual review to determine best approach',
          approach: 'manual',
          priority: 'review_needed'
        }
    }
  }
}