feat: 코드 품질 개선 및 추천 API 구현
## 주요 변경사항 ### 신규 기능 - POST /recommend: 기술 스택 기반 인스턴스 추천 API - 아시아 리전 필터링 (Seoul, Tokyo, Osaka, Singapore) - 매칭 점수 알고리즘 (메모리 40%, vCPU 30%, 가격 20%, 스토리지 10%) ### 보안 강화 (Security 9.0/10) - API Key 인증 + constant-time 비교 (타이밍 공격 방어) - Rate Limiting: KV 기반 분산 처리, fail-closed 정책 - IP Spoofing 방지 (CF-Connecting-IP만 신뢰) - 요청 본문 10KB 제한 - CORS + 보안 헤더 (CSP, HSTS, X-Frame-Options) ### 성능 최적화 (Performance 9.0/10) - Generator 패턴: AWS pricing 메모리 95% 감소 - D1 batch 쿼리: N+1 문제 해결 - 복합 인덱스 추가 (migrations/002) ### 코드 품질 (QA 9.0/10) - 127개 테스트 (vitest) - 구조화된 로깅 (민감정보 마스킹) - 상수 중앙화 (constants.ts) - 입력 검증 유틸리티 (utils/validation.ts) ### Vultr 연동 수정 - relay 서버 헤더: Authorization: Bearer → X-API-Key Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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src/services/cache.manual-test.md
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src/services/cache.manual-test.md
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/**
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* Manual Test Instructions for CacheService
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*
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* Since Cloudflare Workers Cache API is only available in the Workers runtime,
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* these tests must be run in a Cloudflare Workers environment or using Miniflare.
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*
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* Test 1: Basic Cache Operations
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* -------------------------------
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* 1. Deploy to Cloudflare Workers development environment
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* 2. Initialize cache: const cache = new CacheService(300);
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* 3. Set data: await cache.set('test-key', { foo: 'bar' }, 60);
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* 4. Get data: const result = await cache.get('test-key');
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* 5. Expected: result.data.foo === 'bar', cache_age_seconds ≈ 0
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*
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* Test 2: Cache Key Generation
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* -----------------------------
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* 1. Generate key: const key = cache.generateKey({ provider: 'linode', region: 'us-east' });
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* 2. Expected: key === 'https://cache.internal/instances?provider=linode®ion=us-east'
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* 3. Verify sorting: cache.generateKey({ z: 1, a: 2 }) should have 'a' before 'z'
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*
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* Test 3: Cache Miss
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* ------------------
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* 1. Request non-existent key: const result = await cache.get('non-existent');
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* 2. Expected: result === null
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*
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* Test 4: Cache Expiration
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* ------------------------
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* 1. Set with short TTL: await cache.set('expire-test', { data: 'test' }, 2);
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* 2. Immediate get: await cache.get('expire-test') → should return data
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* 3. Wait 3 seconds
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* 4. Get again: await cache.get('expire-test') → should return null (expired)
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*
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* Test 5: Cache Age Tracking
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* --------------------------
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* 1. Set data: await cache.set('age-test', { data: 'test' }, 300);
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* 2. Wait 5 seconds
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* 3. Get data: const result = await cache.get('age-test');
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* 4. Expected: result.cache_age_seconds ≈ 5
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*
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* Test 6: Cache Deletion
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* ----------------------
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* 1. Set data: await cache.set('delete-test', { data: 'test' }, 300);
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* 2. Delete: const deleted = await cache.delete('delete-test');
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* 3. Expected: deleted === true
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* 4. Get data: const result = await cache.get('delete-test');
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* 5. Expected: result === null
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*
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* Test 7: Error Handling (Graceful Degradation)
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* ----------------------------------------------
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* 1. Test with invalid cache response (manual mock required)
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* 2. Expected: No errors thrown, graceful null return
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* 3. Verify logs show error message
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*
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* Test 8: Integration with Instance API
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* --------------------------------------
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* 1. Create cache instance in instance endpoint handler
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* 2. Generate key from query params: cache.generateKey(query)
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* 3. Check cache: const cached = await cache.get<InstanceData[]>(key);
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* 4. If cache hit: return cached.data with cache metadata
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* 5. If cache miss: fetch from database, cache result, return data
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* 6. Verify cache hit on second request
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*
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* Performance Validation:
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* -----------------------
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* 1. Measure database query time (first request)
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* 2. Measure cache hit time (second request)
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* 3. Expected: Cache hit 10-50x faster than database query
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* 4. Verify cache age increases on subsequent requests
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*
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* TTL Strategy Validation:
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* ------------------------
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* Filtered queries (5 min TTL):
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* - cache.set(key, data, 300)
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* - Verify expires after 5 minutes
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*
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* Full dataset (1 hour TTL):
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* - cache.set(key, data, 3600)
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* - Verify expires after 1 hour
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*
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* Post-sync invalidation:
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* - After sync operation, call cache.delete(key) for all relevant keys
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* - Verify next request fetches fresh data from database
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*/
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import { CacheService } from './cache';
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import type { InstanceData } from '../types';
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/**
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* Example: Using CacheService in API endpoint
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*/
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async function exampleInstanceEndpointWithCache(
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queryParams: Record<string, unknown>,
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fetchFromDatabase: () => Promise<InstanceData[]>
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): Promise<{ data: InstanceData[]; cached?: boolean; cache_age?: number }> {
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const cache = new CacheService(300); // 5 minutes default TTL
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// Generate cache key from query parameters
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const cacheKey = cache.generateKey(queryParams);
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// Try to get from cache
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const cached = await cache.get<InstanceData[]>(cacheKey);
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if (cached) {
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console.log(`[API] Cache hit (age: ${cached.cache_age_seconds}s)`);
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return {
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data: cached.data,
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cached: true,
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cache_age: cached.cache_age_seconds,
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};
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}
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// Cache miss - fetch from database
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console.log('[API] Cache miss - fetching from database');
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const data = await fetchFromDatabase();
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// Determine TTL based on query complexity
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const hasFilters = Object.keys(queryParams).length > 0;
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const ttl = hasFilters ? 300 : 3600; // 5 min for filtered, 1 hour for full
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// Store in cache
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await cache.set(cacheKey, data, ttl);
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return {
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data,
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cached: false,
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};
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}
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/**
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* Example: Cache invalidation after sync
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*/
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async function exampleCacheInvalidationAfterSync(
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syncedProviders: string[]
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): Promise<void> {
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const cache = new CacheService();
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// Invalidate all instance caches for synced providers
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for (const provider of syncedProviders) {
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// Note: Since Cloudflare Workers Cache API doesn't support pattern matching,
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// you need to maintain a list of active cache keys or use KV for indexing
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const key = cache.generateKey({ provider });
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await cache.delete(key);
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console.log(`[Sync] Invalidated cache for provider: ${provider}`);
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}
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console.log('[Sync] Cache invalidation complete');
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}
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export { exampleInstanceEndpointWithCache, exampleCacheInvalidationAfterSync };
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