feat(storage): fix critical socket exhaustion during metadata reading
CRITICAL ISSUE FIXED: Service initialization was failing due to socket exhaustion when reading metadata for 1400+ items during index rebuild Changes: - Add batch metadata reading to prevent 2000+ concurrent requests - Implement strict concurrency control (3 max concurrent requests) - Add proper yielding between batches to prevent event loop blocking - Reduce batch sizes during initialization (50 → 25 items per batch) - Add getMetadataBatch() and getVerbMetadataBatch() methods to S3 storage - Update StorageAdapter interface with batch methods - Add production environment auto-detection for smart logging - Auto-cleanup legacy /index folder during initialization Socket usage: Reduced from 1400+ concurrent to 3 max concurrent Expected production result: - Service initialization will complete successfully - firehoseServiceInitialized: true - Data collection will begin normally - No more socket exhaustion errors (100 socket limit exceeded) Fixes: #socket-exhaustion Breaking: None - backward compatible with fallback modes
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7 changed files with 485 additions and 52 deletions
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@ -84,3 +84,103 @@ export function isThreadingAvailable(): boolean {
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export async function isThreadingAvailableAsync(): Promise<boolean> {
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return areWebWorkersAvailable() || (await areWorkerThreadsAvailable())
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}
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/**
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* Auto-detect production environment to minimize logging costs
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*/
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export function isProductionEnvironment(): boolean {
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// Node.js environment detection
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if (isNode()) {
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// Check common production environment indicators
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const nodeEnv = process.env.NODE_ENV?.toLowerCase()
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if (nodeEnv === 'production' || nodeEnv === 'prod') return true
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// Google Cloud Run detection
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if (process.env.K_SERVICE || process.env.GOOGLE_CLOUD_PROJECT) return true
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// AWS Lambda detection
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if (process.env.AWS_LAMBDA_FUNCTION_NAME || process.env.AWS_EXECUTION_ENV) return true
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// Azure Functions detection
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if (process.env.AZURE_FUNCTIONS_ENVIRONMENT || process.env.WEBSITE_SITE_NAME) return true
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// Vercel detection
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if (process.env.VERCEL || process.env.VERCEL_ENV === 'production') return true
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// Netlify detection
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if (process.env.NETLIFY && process.env.CONTEXT === 'production') return true
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// Heroku detection
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if (process.env.DYNO && process.env.NODE_ENV !== 'development') return true
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// Railway detection
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if (process.env.RAILWAY_ENVIRONMENT === 'production') return true
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// Fly.io detection
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if (process.env.FLY_APP_NAME && process.env.FLY_REGION) return true
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// Docker in production (common patterns)
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if (process.env.DOCKER_ENV === 'production' || process.env.ENVIRONMENT === 'production') return true
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// Generic production indicators
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if (process.env.PROD === 'true' || process.env.PRODUCTION === 'true') return true
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}
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// Browser environment - assume development unless explicitly production
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if (isBrowser()) {
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// Check for production domain patterns
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const hostname = window?.location?.hostname
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if (hostname) {
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// Avoid logging on production domains
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if (hostname.includes('.com') || hostname.includes('.org') || hostname.includes('.net')) {
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return !hostname.includes('localhost') && !hostname.includes('127.0.0.1') && !hostname.includes('dev')
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}
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}
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}
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return false
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}
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/**
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* Get appropriate log level based on environment
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*/
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export function getLogLevel(): 'silent' | 'error' | 'warn' | 'info' | 'verbose' {
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// Explicit log level override
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const explicitLevel = process.env.BRAINY_LOG_LEVEL?.toLowerCase()
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if (explicitLevel && ['silent', 'error', 'warn', 'info', 'verbose'].includes(explicitLevel)) {
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return explicitLevel as 'silent' | 'error' | 'warn' | 'info' | 'verbose'
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}
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// Auto-detect based on environment
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if (isProductionEnvironment()) {
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return 'error' // Only log errors in production to minimize costs
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}
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// Development environments get more verbose logging
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if (process.env.NODE_ENV === 'development' || process.env.NODE_ENV === 'dev') {
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return 'verbose'
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}
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// Test environments should be quieter
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if (process.env.NODE_ENV === 'test') {
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return 'warn'
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}
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// Default to info level
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return 'info'
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}
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/**
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* Check if logging should be enabled for a given level
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*/
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export function shouldLog(level: 'error' | 'warn' | 'info' | 'verbose'): boolean {
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const currentLevel = getLogLevel()
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if (currentLevel === 'silent') return false
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const levels = ['error', 'warn', 'info', 'verbose']
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const currentIndex = levels.indexOf(currentLevel)
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const messageIndex = levels.indexOf(level)
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return messageIndex <= currentIndex
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}
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