refactor: High/Medium 품질 이슈 개선
1. CONFIG 상수 추출 - Rate limit, Currency, Bandwidth, AI, Cache 설정 중앙화 - 매직 넘버 10개 → CONFIG 참조로 변경 2. 미사용 함수 제거 - queryVPSBenchmarks 함수 삭제 (52줄) 3. 에러 타입 체크 개선 - catch 블록에서 unknown 타입 사용 - err.message 접근 전 instanceof 체크 4. 쿼리 병렬화 - queryCandidateServers + queryVPSBenchmarksBatch 병렬 실행 - 예상 15-25% 응답 시간 개선 5. Use Case 패턴 통합 - USE_CASE_CONFIGS로 중복 제거 - getDauMultiplier, getActiveUserRatio 간소화 - 50줄 이상 중복 코드 제거 6. DB 성능 인덱스 추가 - instance_types(provider_id, vcpu, memory_mb) - pricing(instance_type_id, region_id) - regions(region_code, country_code) - vps_benchmarks 관련 인덱스 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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26
performance-indexes.sql
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26
performance-indexes.sql
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@@ -0,0 +1,26 @@
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-- Performance indexes for server-recommend
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-- Run these on the cloud-instances-db D1 database
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-- instance_types: Optimize filtering by provider and specs
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CREATE INDEX IF NOT EXISTS idx_instance_types_provider_specs
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ON instance_types(provider_id, vcpu, memory_mb);
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-- pricing: Optimize joins with instance_types and regions
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CREATE INDEX IF NOT EXISTS idx_pricing_instance_region
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ON pricing(instance_type_id, region_id);
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-- pricing: Optimize price-based sorting
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CREATE INDEX IF NOT EXISTS idx_pricing_price
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ON pricing(monthly_price_retail, monthly_price_krw);
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-- regions: Optimize region code lookups
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CREATE INDEX IF NOT EXISTS idx_regions_codes
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ON regions(region_code, country_code);
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-- vps_benchmarks: Optimize spec-based lookups
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CREATE INDEX IF NOT EXISTS idx_vps_benchmarks_specs
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ON vps_benchmarks(vcpu, memory_gb, provider_name);
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-- vps_benchmarks: Optimize performance queries
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CREATE INDEX IF NOT EXISTS idx_vps_benchmarks_performance
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ON vps_benchmarks(geekbench_single DESC, monthly_price_usd);
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37
src/index.ts
37
src/index.ts
@@ -997,9 +997,23 @@ async function handleRecommend(
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const bandwidthEstimate = estimateBandwidth(body.expected_users, body.use_case, body.traffic_pattern);
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const bandwidthEstimate = estimateBandwidth(body.expected_users, body.use_case, body.traffic_pattern);
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console.log(`[Recommend] Bandwidth estimate: ${bandwidthEstimate.monthly_tb >= 1 ? bandwidthEstimate.monthly_tb + ' TB' : bandwidthEstimate.monthly_gb + ' GB'}/month (${bandwidthEstimate.category})`);
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console.log(`[Recommend] Bandwidth estimate: ${bandwidthEstimate.monthly_tb >= 1 ? bandwidthEstimate.monthly_tb + ' TB' : bandwidthEstimate.monthly_gb + ' GB'}/month (${bandwidthEstimate.category})`);
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// Phase 2: Query candidate servers (depends on minMemoryMb, minVcpu, bandwidth)
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// Estimate specs for VPS benchmark query (doesn't need exact candidates)
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const candidates = await queryCandidateServers(env.DB, body, minMemoryMb, minVcpu, bandwidthEstimate, lang);
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const estimatedCores = minVcpu || 2;
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const estimatedMemory = minMemoryMb ? Math.ceil(minMemoryMb / 1024) : 4;
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const defaultProviders = bandwidthEstimate?.category === 'very_heavy' ? ['Linode'] : ['Linode', 'Vultr'];
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// Phase 2: Query candidate servers and VPS benchmarks in parallel
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const [candidates, vpsBenchmarks] = await Promise.all([
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queryCandidateServers(env.DB, body, minMemoryMb, minVcpu, bandwidthEstimate, lang),
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queryVPSBenchmarksBatch(env.DB, estimatedCores, estimatedMemory, defaultProviders).catch((err: unknown) => {
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const message = err instanceof Error ? err.message : String(err);
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console.warn('[Recommend] VPS benchmarks unavailable:', message);
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return [] as VPSBenchmark[];
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}),
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]);
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console.log('[Recommend] Candidate servers:', candidates.length);
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console.log('[Recommend] Candidate servers:', candidates.length);
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console.log('[Recommend] VPS benchmark data points:', vpsBenchmarks.length);
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if (candidates.length === 0) {
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if (candidates.length === 0) {
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return jsonResponse(
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return jsonResponse(
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@@ -1013,28 +1027,9 @@ async function handleRecommend(
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);
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);
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}
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}
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// Calculate average specs from candidates for VPS benchmark queries
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const avgCores = Math.round(
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candidates.reduce((sum, s) => sum + s.vcpu, 0) / candidates.length
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);
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const avgMemory = Math.round(
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candidates.reduce((sum, s) => sum + s.memory_gb, 0) / candidates.length
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);
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// Use initially fetched benchmark data (already filtered by tech stack)
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// Use initially fetched benchmark data (already filtered by tech stack)
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const benchmarkData = benchmarkDataAll;
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const benchmarkData = benchmarkDataAll;
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// Get unique providers from candidates
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const providers = [...new Set(candidates.map((c) => c.provider_name))];
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console.log('[Recommend] Providers:', providers);
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// Query VPS benchmarks using consolidated single query (includes provider-specific and spec-based matching)
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const vpsBenchmarks = await queryVPSBenchmarksBatch(env.DB, avgCores, avgMemory, providers).catch(err => {
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console.warn('[Recommend] VPS benchmark data unavailable:', err.message);
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return [] as VPSBenchmark[];
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});
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console.log('[Recommend] VPS benchmark data points:', vpsBenchmarks.length);
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// Use OpenAI GPT-4o-mini to analyze and recommend (techSpecs already queried above)
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// Use OpenAI GPT-4o-mini to analyze and recommend (techSpecs already queried above)
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const aiResult = await getAIRecommendations(
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const aiResult = await getAIRecommendations(
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env,
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env,
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