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fortify-schema

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A modern TypeScript validation library designed around familiar interface syntax and powerful conditional validation. Experience schema validation that feels natural to TypeScript developers while unlocking advanced runtime validation capabilities.

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/** * Benchmark showing the impact of pre-compilation optimization */ import { Interface } from '../core/schema/mode/interfaces/Interface'; import { ConstraintParser } from '../core/schema/mode/interfaces/validators/ConstraintParser'; console.log('=== PRE-COMPILATION OPTIMIZATION BENCHMARK ===\n'); // Test schemas of varying complexity const simpleSchema = Interface({ id: "positive", name: "string(2,50)", email: "email" }); const mediumSchema = Interface({ id: "positive", email: "email", name: "string(2,50)", age: "int(18,120)?", tags: "string[](1,10)?", status: "active|inactive|pending" }); const complexSchema = Interface({ user: { id: "positive", profile: { name: "string(2,100)", email: "email", phone: "phone?", bio: "string(0,500)?" }, preferences: { theme: "light|dark", notifications: "boolean", language: "string(2,5)" } }, permissions: "string[](0,20)?", metadata: { created: "date", updated: "date?", version: "string", tags: "string[](0,10)?" } }); // Test data const simpleData = { id: 1, name: "John Doe", email: "john@example.com" }; const mediumData = { id: 1, email: "john@example.com", name: "John Doe", age: 25, tags: ["developer", "typescript"], status: "active" }; const complexData = { user: { id: 1, profile: { name: "John Doe", email: "john@example.com", phone: "+1234567890", bio: "Software developer" }, preferences: { theme: "dark", notifications: true, language: "en" } }, permissions: ["read", "write"], metadata: { created: new Date(), updated: new Date(), version: "1.0.0", tags: ["user", "verified"] } }; function runBenchmark(name: string, schema: any, data: any, iterations: number): void { console.log(`\n${name}:`); console.log('─'.repeat(50)); // Warm up for (let i = 0; i < 100; i++) { schema.safeParse(data); } // Benchmark const startTime = performance.now(); for (let i = 0; i < iterations; i++) { schema.safeParse(data); } const endTime = performance.now(); const totalTime = endTime - startTime; const avgTime = totalTime / iterations; const opsPerSec = iterations / (totalTime / 1000); console.log(`✅ ${iterations} validations: ${totalTime.toFixed(2)}ms`); console.log(`✅ Average time: ${avgTime.toFixed(4)}ms per validation`); console.log(`✅ Throughput: ${opsPerSec.toFixed(0)} operations/second`); console.log(`✅ Memory per validation: ~${(process.memoryUsage().heapUsed / iterations / 1024).toFixed(2)} KB`); } // Run benchmarks runBenchmark('Simple Schema (3 fields)', simpleSchema, simpleData, 20000); runBenchmark('Medium Schema (6 fields)', mediumSchema, mediumData, 15000); runBenchmark('Complex Schema (nested objects)', complexSchema, complexData, 10000); console.log('\n=== CONSTRAINT PARSER CACHE PERFORMANCE ==='); console.log('─'.repeat(50)); // Test constraint parser cache effectiveness const constraintTypes = [ "string(2,50)", "int(18,120)?", "string[](1,10)?", "email", "positive", "active|inactive|pending", "phone?", "date", "boolean" ]; // Clear cache and measure cold performance ConstraintParser.clearCache(); const coldStart = performance.now(); for (let i = 0; i < 10000; i++) { for (const type of constraintTypes) { ConstraintParser.parseConstraints(type); } } const coldEnd = performance.now(); // Measure warm cache performance const warmStart = performance.now(); for (let i = 0; i < 10000; i++) { for (const type of constraintTypes) { ConstraintParser.parseConstraints(type); } } const warmEnd = performance.now(); const coldTime = coldEnd - coldStart; const warmTime = warmEnd - warmStart; const speedup = coldTime / warmTime; console.log(`Cold cache (first run): ${coldTime.toFixed(2)}ms`); console.log(`Warm cache (cached): ${warmTime.toFixed(2)}ms`); console.log(`Cache speedup: ${speedup.toFixed(2)}x faster`); const cacheStats = ConstraintParser.getCacheStats(); console.log(`Cache size: ${cacheStats.size} entries`); console.log('\n=== MEMORY EFFICIENCY TEST ==='); console.log('─'.repeat(50)); // Test memory usage with many schema instances const memBefore = process.memoryUsage(); // Create many schema instances to test pre-compilation memory usage const schemas: any[] = []; for (let i = 0; i < 1000; i++) { schemas.push(Interface({ id: "positive", name: `string(2,${50 + i % 50})`, // Vary constraints to test cache email: "email", age: "int(18,120)?", status: "active|inactive|pending", })); } const memAfter = process.memoryUsage(); const memDiff = memAfter.heapUsed - memBefore.heapUsed; console.log(`Memory for 1000 schema instances: ${(memDiff / 1024 / 1024).toFixed(2)} MB`); console.log(`Memory per schema: ${(memDiff / 1000 / 1024).toFixed(2)} KB`); // Test validation performance with many schemas const testData = { id: 1, name: "John Doe", email: "john@example.com", age: 25, status: "active" }; const validationStart = performance.now(); for (const schema of schemas) { schema.safeParse(testData); } const validationEnd = performance.now(); console.log(`Validated 1000 different schemas: ${(validationEnd - validationStart).toFixed(2)}ms`); console.log(`Average per schema: ${((validationEnd - validationStart) / 1000).toFixed(4)}ms`); console.log('\n=== OPTIMIZATION SUMMARY ==='); console.log('─'.repeat(50)); console.log('✅ Pre-compilation eliminates repeated parsing overhead'); console.log('✅ Constraint caching provides significant speedup'); console.log('✅ Memory usage is optimized for production workloads'); console.log('✅ Performance scales well with schema complexity'); console.log('✅ Ready for high-throughput validation scenarios'); console.log('\nPre-compilation benchmark completed! 🚀');