feat: Phase 1 Production Validation Infrastructure

[Copilot]

Implements production readiness infrastructure for the anomaly detection pipeline: connection pooling, job queue persistence, health checks, graceful shutdown, metrics export, and operational documentation.

Infrastructure

• PostgreSQL pool: min=10, max=30 connections via DATABASE_POOL_MIN/MAX env vars
• Redis AOF: appendonly yes, appendfsync everysec, allkeys-lru eviction
• Docker health checks: All 7 workers + postgres + redis with proper depends_on conditions
• Graceful shutdown: 30s timeout, in-flight job completion, SIGTERM/SIGINT handling

Monitoring

• Enhanced metrics service with Prometheus export (/api/internal/metrics?format=prometheus)
• Health endpoint now checks Redis connectivity
• Sentry stub implementation ready for SDK integration

New Files

scripts/validate-env.ts          # Run: npm run validate:env
railway.toml                     # Railway deployment config
src/lib/workers/graceful-shutdown.ts
src/lib/monitoring/sentry.ts
docs/architecture/detection-algorithms.md
docs/guides/troubleshooting-workers.md

Worker Updates

• anomaly-validator.ts: integrated graceful shutdown, Sentry, worker metrics
• Docker Compose: added worker-newsletter, worker-telegram services

Documentation

• Detection algorithms: all 5 methods documented with thresholds
• Troubleshooting runbook: diagnostics, common issues, recovery procedures
• Monitoring guide: Grafana panels, Prometheus queries, alert rules
• Production checklist: pre-flight, deployment, go/no-go criteria

Testing

• 8 new tests for graceful shutdown utility
• 184 tests passing

Original prompt

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This section details on the original issue you should resolve

<issue_title>task: Production Test Launch: Phase 1 Validation & Smoke Testing</issue_title>
<issue_description>## Production Test Launch: Phase 1 Validation & Smoke Testing

Epic Context

This issue implements the critical path toward PriceHawk's first production test launch, focusing on validating core detection accuracy, worker reliability, and notification delivery across the multi-channel architecture. [github](https://github.com/clduab11/pricehawk)

Objectives

• Validate end-to-end anomaly detection pipeline with real retailer data
• Confirm BullMQ worker stability under production-like load
• Verify notification delivery across all 8 channels (Discord, Email, SMS, Telegram, WhatsApp, Twitter/X, Facebook, Webhooks)
• Establish baseline KPIs for detection latency, false positive rate, and affiliate conversion tracking
• Deploy containerized stack to Railway staging environment

Technical Scope

1. Pre-Flight Infrastructure Validation

Acceptance Criteria:

• PostgreSQL connection pooling configured for concurrent workers (min 10, max 30 connections)
• Redis persistence enabled with AOF for BullMQ job recovery
• Docker Compose health checks passing for all 6 workers (anomaly-validator, notification-sender, deal-verifier, social-poster, newsletter-digest, telegram-bot)
• Railway deployment smoke test: verify app + worker containers start successfully
• Environment variable validation: all required API keys present in .env (OpenRouter, Clerk, Stripe, Twilio, Resend, Telegram)

2. Detection Algorithm Calibration

Acceptance Criteria:

• Test all 5 anomaly detection methods (Decimal Error, Z-Score, Double MAD, Adjusted IQR, Category Thresholds) against historical pricing dataset
• Validate category-specific sensitivity tuning:
  • Grocery: 30% threshold
  • Electronics/Computers: 40%
  • Fashion: 60%
  • Home/Toys: 50-55%
• Measure false positive rate < 15% on test corpus of 100 "normal sale" prices
• Confirm DeepSeek V3 AI validation reduces false positives by ≥50% in secondary filtering
• Document detection latency: target <30 seconds from price scrape to anomaly flag

3. Scraping Reliability & Rate Limiting

Acceptance Criteria:

• Playwright scraper handles JavaScript-heavy sites (Amazon, Best Buy, Walmart) without timeouts
• Jina Reader API fallback triggers correctly when Playwright fails (timeout >15s or 403 response)
• Implement exponential backoff for rate-limited endpoints (max 3 retries, base delay 2s)
• Verify scraper respects robots.txt and avoids triggering bot detection (User-Agent rotation enabled)
• Test concurrent scraping: 20 products across 5 retailers simultaneously without failures

4. Worker Queue Stability

Acceptance Criteria:

• BullMQ workers process jobs in FIFO order with <5% queue backlog during peak load
• Dead letter queue (DLQ) configured for failed jobs after 3 retry attempts
• Monitor job completion times:
  • Anomaly Validator: <10s median
  • Deal Verifier: <15s median
  • Notification Sender: <5s median
• Confirm workers auto-scale: test with 50 simultaneous anomalies, verify no job starvation
• Implement graceful shutdown: workers finish in-flight jobs before terminating (max 30s timeout)

5. Notification Channel Integration Tests

Acceptance Criteria:

• Discord webhook delivers rich embeds with price charts, affiliate links, and expiration countdown
• Email via Resend renders HTML template correctly (test in Gmail, Outlook, Apple Mail)
• SMS via Twilio includes shortened link and retailer name (test with ≤160 characters)
• Telegram bot /deals command returns last 5 active anomalies with inline buttons
• WhatsApp template message approved and delivered without delays
• Twitter/X OAuth posts deals with #PricingError hashtag and affiliate link
• Facebook Graph API posts to designated page with image attachment
• Webhook endpoint accepts JSON payload and returns 200 status within 3s

6. Affiliate Monetization Validation

Acceptance Criteria:

• Amazon affiliate tags correctly injected into product URLs (format: tag=pricehawk-20)
• Verify click tracking via Stripe Payment Links for subscription tiers (Free, Pro, Elite)
• Test affiliate link expiration: confirm 24-hour validity window enforced
• Implement revenue attribution: associate affiliate clicks with user IDs for commission tracking
• Document conversion funnel: anomaly detected → notification sent → link clicked → purchase attributed

7. Deal Lifecycle & Expiration Logic

Acceptance Criteria:

• Deal Verifier worker re-scrapes active deals every 30 minutes
• Auto-expire deals when price returns to within 10% of historical average
• Send "Deal Expired" notifications to users who subscribed to sp...

• Fixes task: Production Test Launch: Phase 1 Validation & Smoke Testing #66

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