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thrilltrack-explorer/docs/PHASE_2_RESILIENCE_IMPROVEMENTS_COMPLETE.md
gpt-engineer-app[bot] 1ba843132c Implement Phase 2 improvements
Implement resilience improvements including slug uniqueness constraints, foreign key validation, and rate limiting.
2025-11-06 23:56:45 +00:00

6.2 KiB

Phase 2: Resilience Improvements - COMPLETE

Deployment Date: 2025-11-06
Status: All resilience improvements deployed and active


Overview

Phase 2 focused on hardening the submission pipeline against data integrity issues, providing better error messages, and protecting against abuse. All improvements are non-breaking and additive.


1. Slug Uniqueness Constraints

Migration: 20251106220000_add_slug_uniqueness_constraints.sql

Changes Made:

  • Added UNIQUE constraint on companies.slug
  • Added UNIQUE constraint on ride_models.slug
  • Added indexes for query performance
  • Prevents duplicate slugs at database level

Impact:

  • Data Integrity: Impossible to create duplicate slugs (was previously possible)
  • Error Detection: Immediate feedback on slug conflicts during submission
  • URL Safety: Guarantees unique URLs for all entities

Error Handling:

// Before: Silent failure or 500 error
// After: Clear error message
{
  "error": "duplicate key value violates unique constraint \"companies_slug_unique\"",
  "code": "23505",
  "hint": "Key (slug)=(disneyland) already exists."
}

2. Foreign Key Validation

Migration: 20251106220100_add_fk_validation_to_entity_creation.sql

Changes Made:

Updated create_entity_from_submission() function to validate foreign keys before INSERT:

Parks:

  • Validates location_id exists in locations table
  • Validates operator_id exists and is type operator
  • Validates property_owner_id exists and is type property_owner

Rides:

  • Validates park_id exists (REQUIRED)
  • Validates manufacturer_id exists and is type manufacturer
  • Validates ride_model_id exists

Ride Models:

  • Validates manufacturer_id exists and is type manufacturer (REQUIRED)

Impact:

  • User Experience: Clear, actionable error messages instead of cryptic FK violations
  • Debugging: Error hints include the problematic field name
  • Performance: Early validation prevents wasted INSERT attempts

Error Messages:

-- Before:
ERROR: insert or update on table "rides" violates foreign key constraint "rides_park_id_fkey"

-- After:
ERROR: Invalid park_id: Park does not exist
HINT: park_id

3. Rate Limiting

File: supabase/functions/process-selective-approval/index.ts

Changes Made:

  • Integrated rateLimiters.standard (10 req/min per IP)
  • Applied via withRateLimit() middleware wrapper
  • CORS-compliant rate limit headers added to all responses

Protection Against:

  • Spam submissions
  • Accidental automation loops
  • DoS attacks on approval endpoint
  • Resource exhaustion

Rate Limit Headers:

HTTP/1.1 200 OK
X-RateLimit-Limit: 10
X-RateLimit-Remaining: 7

HTTP/1.1 429 Too Many Requests
Retry-After: 42
X-RateLimit-Limit: 10
X-RateLimit-Remaining: 0

Client Handling:

if (response.status === 429) {
  const retryAfter = response.headers.get('Retry-After');
  console.log(`Rate limited. Retry in ${retryAfter} seconds`);
}

Combined Impact

Metric Before Phase 2 After Phase 2
Duplicate Slug Risk 🔴 HIGH 🟢 NONE
FK Violation User Experience 🔴 POOR 🟢 EXCELLENT
Abuse Protection 🟡 BASIC 🟢 ROBUST
Error Message Clarity 🟡 CRYPTIC 🟢 ACTIONABLE
Database Constraint Coverage 🟡 PARTIAL 🟢 COMPREHENSIVE

Testing Checklist

Slug Uniqueness:

  • Attempt to create company with duplicate slug → blocked with clear error
  • Attempt to create ride_model with duplicate slug → blocked with clear error
  • Verify existing slugs remain unchanged
  • Performance test: slug lookups remain fast (<10ms)

Foreign Key Validation:

  • Create ride with invalid park_id → clear error message
  • Create ride_model with invalid manufacturer_id → clear error message
  • Create park with invalid operator_id → clear error message
  • Valid references still work correctly
  • Error hints match the problematic field

Rate Limiting:

  • 11th request within 1 minute → 429 response
  • Rate limit headers present on all responses
  • CORS headers present on rate limit responses
  • Different IPs have independent rate limits
  • Rate limit resets after 1 minute

Deployment Notes

Zero Downtime:

  • All migrations are additive (no DROP or ALTER of existing data)
  • UNIQUE constraints applied to tables that should already have unique slugs
  • FK validation adds checks but doesn't change success cases
  • Rate limiting is transparent to compliant clients

Rollback Plan:

If critical issues arise:

-- Remove UNIQUE constraints
ALTER TABLE companies DROP CONSTRAINT IF EXISTS companies_slug_unique;
ALTER TABLE ride_models DROP CONSTRAINT IF EXISTS ride_models_slug_unique;

-- Revert function (restore original from migration 20251106201129)
-- (Function changes are non-breaking, so rollback not required)

For rate limiting, simply remove the withRateLimit() wrapper and redeploy edge function.


Monitoring & Alerts

Key Metrics to Watch:

  1. Slug Constraint Violations:

    SELECT COUNT(*) FROM approval_transaction_metrics
    WHERE success = false
    AND error_message LIKE '%slug_unique%'
    AND created_at > NOW() - INTERVAL '24 hours';
    
  2. FK Validation Errors:

    SELECT COUNT(*) FROM approval_transaction_metrics
    WHERE success = false
    AND error_code = '23503'
    AND created_at > NOW() - INTERVAL '24 hours';
    
  3. Rate Limit Hits:

    • Monitor 429 response rate in edge function logs
    • Alert if >5% of requests are rate limited

Success Thresholds:

  • Slug violations: <1% of submissions
  • FK validation errors: <2% of submissions
  • Rate limit hits: <3% of requests

Next Steps: Phase 3

With Phase 2 complete, the pipeline now has:

  • CORS protection (Phase 1)
  • Transaction atomicity (Phase 1)
  • Idempotency protection (Phase 1)
  • Deadlock retry logic (Phase 1)
  • Timeout protection (Phase 1)
  • Slug uniqueness enforcement (Phase 2)
  • FK validation with clear errors (Phase 2)
  • Rate limiting protection (Phase 2)

Ready for Phase 3: Monitoring & observability improvements