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Comprehensive static code analysis toolkit for identifying technical debt, security vulnerabilities, performance issues, and code quality problems

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/** * @file Unused endpoint detector for backend optimization analysis * @description Single responsibility: Identify backend endpoints not utilized by frontend applications * * This module implements reverse cross-reference analysis to identify backend endpoints * that have no corresponding frontend API calls. This analysis helps identify dead code, * over-engineered APIs, and maintenance overhead from unused functionality, enabling * backend optimization and reducing complexity in API surface area. * * Design rationale: * - Reverse analysis identifies backend optimization opportunities * - Route normalization handles matching despite format variations * - Usage frequency analysis prioritizes cleanup efforts effectively * - Currently implemented as stub for future comprehensive analysis implementation */ /** * Detect unused backend endpoints using reverse cross-reference analysis (implementation pending) * * Technical function: Cross-reference backend endpoints against frontend calls to identify unused APIs * * Implementation rationale (planned): * - Route normalization will handle path parameter and format variations * - Method-specific matching will ensure comprehensive endpoint coverage analysis * - Fuzzy matching will accommodate slight route variations in frontend calls * - Age and complexity analysis will prioritize removal of older, complex unused endpoints * * Analysis strategy (planned): * - Create lookup map of frontend calls by method and normalized route * - Iterate through backend endpoints to identify unmatched implementations * - Analyze endpoint complexity and maintenance overhead for prioritization * - Generate removal recommendations with impact and effort assessments * * Unused endpoint patterns to identify: * - Legacy endpoints: Implemented but no longer called by current frontend * - Over-engineered APIs: More endpoints than needed for current functionality * - Test endpoints: Development/testing routes accidentally deployed to production * - Deprecated APIs: Old versions maintained but not actively used * * Cleanup priority assessment: * - High: Complex unused endpoints with high maintenance overhead * - Medium: Simple unused endpoints with minimal dependencies * - Low: Recently created endpoints that may have future usage plans * - Exclude: Health checks, monitoring, and administrative endpoints * * Removal impact considerations: * - Documentation references that need updating * - External API consumers (mobile apps, third-party integrations) * - Deployment pipeline dependencies * - Database migrations and cleanup requirements * * @param {Array<Object>} backendEndpoints - Backend endpoints with method, route, file, complexity * @param {Array<Object>} frontendCalls - Frontend API calls with method, route, file, line * @returns {Array<Object>} Unused endpoint analysis results (currently empty - implementation pending) * @example * const unused = detectUnusedEndpoints([ * { method: 'GET', route: '/api/legacy-users', file: 'legacy.js' }, * { method: 'GET', route: '/api/users', file: 'users.js' } * ], [ * { method: 'GET', route: '/api/users', file: 'UserList.jsx', line: 10 } * ]); * // Should return: [{ method: 'GET', route: '/api/legacy-users', priority: 'HIGH', ... }] */ function detectUnusedEndpoints(backendEndpoints, frontendCalls) { return []; } module.exports = { detectUnusedEndpoints };