--- name: validation-quarantine description: Data validation with quality scoring and quarantine for suspicious records. Validates incoming data without blocking the pipeline, enabling manual review of edge cases. license: MIT compatibility: TypeScript/JavaScript metadata: category: data-access time: 4h source: drift-masterguide --- # Data Validation & Quarantine Validate incoming data with quality scoring and quarantine suspicious records without blocking the pipeline. ## When to Use This Skill - Processing external data sources that are unreliable - Need quality scoring beyond simple schema validation - Want to quarantine suspicious data for manual review - Can't afford to block the pipeline for bad data ## Core Concepts External data sources are unreliable. Schema violations crash pipelines, low-quality data pollutes databases, and you can't manually review every record. The solution: 1. Validate against schema 2. Score quality based on domain rules 3. Pass high-quality data through 4. Quarantine suspicious data for review 5. Reject invalid data ``` ┌─────────────┐ ┌───────────────┐ ┌─────────────┐ │ Raw Data │────▶│ Validator │────▶│ Valid │ └─────────────┘ └───────────────┘ └─────────────┘ │ ▼ ┌─────────────┐ │ Quarantine │ └─────────────┘ ``` ## Implementation ### TypeScript ```typescript import { z, ZodError } from 'zod'; interface ValidationResult { success: boolean; data?: T; errors?: { path: string; message: string; code: string }[]; qualityScore: number; warnings: string[]; } interface BatchResult { valid: T[]; invalid: { original: unknown; errors: any[] }[]; quarantined: { original: unknown; score: number; warnings: string[] }[]; metrics: { totalProcessed: number; validPercent: number; avgQualityScore: number; processingTimeMs: number; }; } class DataValidator { constructor( private schema: z.ZodSchema, private qualityScorer: (data: T) => { score: number; warnings: string[] }, private quarantineThreshold = 50 ) {} validate(raw: unknown): ValidationResult { try { const parsed = this.schema.parse(raw); const { score, warnings } = this.qualityScorer(parsed); return { success: true, data: parsed, qualityScore: score, warnings }; } catch (error) { if (error instanceof ZodError) { return { success: false, errors: error.errors.map(e => ({ path: e.path.join('.'), message: e.message, code: e.code, })), qualityScore: 0, warnings: [], }; } throw error; } } validateBatch(items: unknown[]): BatchResult { const start = Date.now(); const valid: T[] = []; const invalid: any[] = []; const quarantined: any[] = []; let totalScore = 0; for (const item of items) { const result = this.validate(item); if (!result.success) { invalid.push({ original: item, errors: result.errors }); } else if (result.qualityScore < this.quarantineThreshold) { quarantined.push({ original: item, score: result.qualityScore, warnings: result.warnings, }); } else { valid.push(result.data!); totalScore += result.qualityScore; } } return { valid, invalid, quarantined, metrics: { totalProcessed: items.length, validPercent: items.length > 0 ? (valid.length / items.length) * 100 : 0, avgQualityScore: valid.length > 0 ? totalScore / valid.length : 0, processingTimeMs: Date.now() - start, }, }; } } // ============================================ // Quality Scorer Example // ============================================ interface Article { title: string; url: string; domain: string; publishedAt: string; } function scoreArticle(article: Article): { score: number; warnings: string[] } { let score = 100; const warnings: string[] = []; // Title checks if (article.title.length < 20) { score -= 10; warnings.push('Short title'); } if (/\b(click|subscribe|newsletter)\b/i.test(article.title)) { score -= 15; warnings.push('Promotional language'); } // Source checks const ugcPlatforms = ['blogspot', 'wordpress', 'medium']; if (ugcPlatforms.some(p => article.domain.includes(p))) { score -= 10; warnings.push('User-generated content platform'); } // Freshness check const ageMs = Date.now() - new Date(article.publishedAt).getTime(); if (ageMs > 365 * 24 * 60 * 60 * 1000) { score -= 20; warnings.push('Article over 1 year old'); } return { score: Math.max(0, score), warnings }; } // ============================================ // Quarantine Store // ============================================ type QuarantineReason = | 'low_quality_score' | 'suspicious_content' | 'duplicate_detected' | 'source_blacklisted'; interface QuarantinedItem { id: string; data: T; reason: QuarantineReason; qualityScore: number; warnings: string[]; quarantinedAt: string; reviewStatus: 'pending' | 'approved' | 'rejected'; } class QuarantineStore { private items = new Map>(); private maxItems = 10000; private autoRejectDays = 7; add( data: T, reason: QuarantineReason, score: number, warnings: string[] ): string { const id = `q_${Date.now()}_${Math.random().toString(36).slice(2, 8)}`; this.items.set(id, { id, data, reason, qualityScore: score, warnings, quarantinedAt: new Date().toISOString(), reviewStatus: 'pending', }); this.enforceLimit(); return id; } approve(id: string): T | null { const item = this.items.get(id); if (!item || item.reviewStatus !== 'pending') return null; item.reviewStatus = 'approved'; return item.data; } reject(id: string): boolean { const item = this.items.get(id); if (!item) return false; item.reviewStatus = 'rejected'; return true; } getPending(limit = 100): QuarantinedItem[] { return Array.from(this.items.values()) .filter(i => i.reviewStatus === 'pending') .slice(0, limit); } releaseApproved(): T[] { const approved: T[] = []; for (const [id, item] of this.items) { if (item.reviewStatus === 'approved') { approved.push(item.data); this.items.delete(id); } } return approved; } autoRejectStale(): number { const cutoff = Date.now() - this.autoRejectDays * 24 * 60 * 60 * 1000; let count = 0; for (const item of this.items.values()) { if (item.reviewStatus === 'pending' && new Date(item.quarantinedAt).getTime() < cutoff) { item.reviewStatus = 'rejected'; count++; } } return count; } private enforceLimit(): void { if (this.items.size <= this.maxItems) return; const sorted = Array.from(this.items.entries()) .sort((a, b) => { if (a[1].reviewStatus === 'rejected' && b[1].reviewStatus !== 'rejected') return -1; return new Date(a[1].quarantinedAt).getTime() - new Date(b[1].quarantinedAt).getTime(); }); while (sorted.length > this.maxItems) { const [id] = sorted.shift()!; this.items.delete(id); } } } ``` ## Usage Examples ### Basic Validation Pipeline ```typescript const ArticleSchema = z.object({ title: z.string().min(1), url: z.string().url(), domain: z.string(), publishedAt: z.string().datetime(), }); type Article = z.infer; const validator = new DataValidator(ArticleSchema, scoreArticle, 50); const quarantine = new QuarantineStore

(); // Process batch const result = validator.validateBatch(rawArticles); // Handle quarantined items for (const q of result.quarantined) { quarantine.add(q.original as Article, 'low_quality_score', q.score, q.warnings); } // Use valid data await saveToDatabase(result.valid); console.log(`Processed: ${result.metrics.totalProcessed}`); console.log(`Valid: ${result.valid.length} (${result.metrics.validPercent.toFixed(1)}%)`); console.log(`Quarantined: ${result.quarantined.length}`); ``` ## Best Practices 1. Never block the pipeline for bad data - quarantine instead 2. Quality scores are domain-specific - tune thresholds based on your data 3. Auto-reject stale quarantined items - don't let the queue grow forever 4. Expose quarantine for manual review via admin UI 5. Track metrics to identify data quality trends ## Common Mistakes - Blocking the entire pipeline when validation fails - Using only schema validation without quality scoring - Not setting limits on quarantine store size - Forgetting to auto-reject stale items - Not exposing quarantine for manual review ## Related Patterns - batch-processing - Process validated items efficiently - deduplication - Deduplicate before validation - error-sanitization - Sanitize validation error messages

resilient-storage

Scan your own AI components