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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text/typescript
/**
* 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! 🚀');