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Consumer Graph Service - Implementation Status

Consumer Graph Service - Implementation Status

Section titled “Consumer Graph Service - Implementation Status”

✅ PHASE 1-2 COMPLETE: Foundation Ready for Development

Section titled “✅ PHASE 1-2 COMPLETE: Foundation Ready for Development”

Build Status:SUCCESS - All code compiles without errors Test Status:PASS - All existing tests passing Deployment: 🟡 READY FOR LOCAL - Can run locally with Docker Neo4j


Connection Management

  • Production-ready driver with connection pooling
  • Configurable pool sizes (50 local → 150 prod)
  • Automatic retry and timeout handling
  • Graceful shutdown on service termination

Health Monitoring

  • Live connectivity checks
  • Database responsiveness testing
  • Integrated into /health endpoint
  • Returns detailed status (connected, pool_size, response_time)

2. Configuration System (internal/config/)

Section titled “2. Configuration System (internal/config/)”

Environment-Specific Configs

  • Local: bolt://localhost:7687 (unencrypted for dev)
  • Dev/Stage/Prod: bolt+routing:// (encrypted, ready for Neo4j Aura)
  • Connection pooling parameters tuned per environment
  • Full validation on startup

Security-Ready

  • Credentials in config files (will move to AWS Secrets Manager)
  • FSD environment variable injection prepared
  • TLS encryption via URI scheme

Complete Data Model

  • User: user_id, zip, created_at
  • Product: product_id, upc, name, brand, category, norm_name
  • Offer: offer_id, title, points, start, end, priority
  • Relationships: Purchase, Similarity, Eligibility, AppliesTo
  • Recommendation: Full request/response models with defaults

4. Database Schema (internal/graph/schema/)

Section titled “4. Database Schema (internal/graph/schema/)”

Neo4j Schema Definition

  • Constraints: Unique on user_id, product_id, offer_id
  • Indexes: offer dates, product category, user zip, product brand
  • Idempotent: All DDL uses IF NOT EXISTS
  • Function: Initialize(ctx, client) applies all schema

5. Service Integration (cmd/service/, internal/server/)

Section titled “5. Service Integration (cmd/service/, internal/server/)”

Main Application

  • Neo4j client lifecycle managed in main.go
  • Graceful startup and shutdown
  • Structured logging throughout
  • Error handling and exit codes

Health Endpoint Enhancement

  • GET /health now includes Neo4j status
  • Returns 503 if Neo4j unavailable
  • JSON response with connection details

Terminal window
docker run -d \
--name neo4j \
-p 7474:7474 -p 7687:7687 \
-e NEO4J_AUTH=neo4j/local-password \
neo4j:5.15
# Access Neo4j Browser at http://localhost:7474
# Login with neo4j/local-password
Terminal window
make build
make run ENV=local
Terminal window
curl http://localhost:8080/health | jq

Expected Output:

{
"status": "healthy",
"service": "consumer-graph",
"neo4j": {
"connected": true,
"database": "neo4j",
"pool_size": 50,
"response_time_ms": 12,
"last_check": "2025-11-07T15:30:45Z"
}
}

Step 4: Initialize Schema (once implemented)

Section titled “Step 4: Initialize Schema (once implemented)”
Terminal window
# Will be available after Phase 4
curl -X POST http://localhost:8080/api/v1/graph/schema/init

Phase 3: Repositories & Services (Est: 4-5 hours)

Section titled “Phase 3: Repositories & Services (Est: 4-5 hours)”

Priority: HIGH - Core data access layer

Files to create:

internal/graph/repository/
├── user.go # CreateUser, GetUser, CreatePurchase
├── product.go # CreateProduct, GetProduct, CreateSimilarity
├── offer.go # CreateOffer, GetOffer, CreateEligibility, CreateAppliesTo
├── recommendation.go # GetRecommendations (main query)
└── repository.go # Common interfaces

Key Implementation:

  • The recommendation Cypher query from the design doc
  • Batch operations for bulk loading
  • Transaction management
  • Proper error handling

Phase 4: HTTP API Handlers (Est: 3-4 hours)

Section titled “Phase 4: HTTP API Handlers (Est: 3-4 hours)”

Priority: HIGH - Expose functionality via REST

Endpoints to implement:

✅ GET /health
🚧 GET /api/v1/recommendations?user_id={id}
🚧 POST /api/v1/graph/users
🚧 POST /api/v1/graph/products
🚧 POST /api/v1/graph/offers
🚧 POST /api/v1/graph/relationships/purchased
🚧 POST /api/v1/graph/relationships/similar
🚧 POST /api/v1/graph/relationships/eligible
🚧 POST /api/v1/graph/relationships/applies-to
🚧 POST /api/v1/graph/schema/init

Files to create:

internal/graph/handler/
├── recommendation.go # GET /recommendations
├── graph.go # POST graph operations
└── admin.go # POST /schema/init

Priority: MEDIUM - Quality assurance

Tests to write:

  • Unit tests for repositories (with mocks)
  • Integration tests (with testcontainers)
  • Handler tests (with httptest)
  • End-to-end recommendation flow

Priority: MEDIUM - Production readiness

Tasks:

  • Set up Neo4j Aura instance (or alternative)
  • Configure AWS Parameter Store for credentials
  • Update consumer-graph-mcp.yml with Neo4j vars
  • Deploy to dev environment
  • Load sample data
  • Performance testing

Priority: LOW - Can be done incrementally

Docs to create/update:

  • README.md with setup instructions
  • API documentation (OpenAPI/Swagger)
  • Runbook for operations
  • Architecture diagrams

PhaseDescriptionTimeStatus
1Foundation (Neo4j client, config)3h✅ DONE
2Models & Schema2h✅ DONE
3Repositories & Services4-5h🚧 NEXT
4HTTP API Handlers3-4h🚧 PENDING
5Testing3-4h🚧 PENDING
6Deployment2-3h🚧 PENDING
7Documentation1-2h🚧 PENDING

Total Remaining: 13-18 hours Total Project: 18-23 hours (5h complete, 13-18h remaining)


┌─────────────────────────────────────────────────┐
│ HTTP Handlers (Phase 4) │
│ GET /recommendations │
│ POST /graph/{users,products,offers} │
│ POST /relationships/{purchased,similar,...} │
└──────────────────┬──────────────────────────────┘
┌──────────────────▼──────────────────────────────┐
│ Service Layer (Phase 3) │
│ • RecommendationService │
│ • GraphManagementService │
└──────────────────┬──────────────────────────────┘
┌──────────────────▼──────────────────────────────┐
│ Repository Layer (Phase 3) │
│ • UserRepository ✅ Models │
│ • ProductRepository ✅ Models │
│ • OfferRepository ✅ Models │
│ • RecommendationRepository ✅ Models │
└──────────────────┬──────────────────────────────┘
┌──────────────────▼──────────────────────────────┐
│ ✅ Neo4j Client (pkg/neo4j/) │
│ ✅ Connection Pool │
│ ✅ Health Checks │
└──────────────────┬──────────────────────────────┘
┌──────────────────▼──────────────────────────────┐
│ Neo4j Database │
│ ✅ Schema (constraints & indexes defined) │
│ 🚧 Data (waiting for repositories) │
└─────────────────────────────────────────────────┘

  • Local: config/local/config.json - bolt://localhost:7687
  • Dev: config/dev/config.json - bolt+routing://dev-neo4j.neo4j.io:7687
  • Stage: config/stage/config.json - bolt+routing://stage-neo4j.neo4j.io:7687
  • Prod: config/prod/config.json - bolt+routing://prod-neo4j.neo4j.io:7687
  • IMPLEMENTATION_PLAN.md - Full technical specification
  • PROGRESS.md - Detailed progress tracking
  • STATUS.md - This file (executive summary)
  • pkg/neo4j/client.go - Neo4j driver wrapper (170 lines)
  • pkg/neo4j/health.go - Health check logic (110 lines)
  • internal/models/ - All domain models (4 files, ~200 lines)
  • internal/graph/schema/schema.go - Schema DDL (140 lines)

  • Code compiles without errors
  • Existing tests pass
  • Can connect to Neo4j locally
  • Health endpoint works
  • All configurations valid
  • Can create/read all node types
  • Can create all relationship types
  • Recommendation query executes
  • Query returns results in <100ms
  • Unit tests with mocks pass
  • All endpoints functional
  • Request validation works
  • Error responses correct
  • API tests pass
  • All tests pass (unit, integration, e2e)
  • Deployed to stage successfully
  • Performance meets targets (<100ms p95)
  • Monitoring and alerts configured
  • Documentation complete

Terminal window
# Development
make build # Build the service
make run ENV=local # Run locally
make test # Run tests
make lint # Run linters
make fmt # Format code
# Docker Neo4j
docker run -d --name neo4j -p 7474:7474 -p 7687:7687 \
-e NEO4J_AUTH=neo4j/local-password neo4j:5.15
docker stop neo4j && docker rm neo4j # Clean up
# Testing
curl http://localhost:8080/health | jq
curl http://localhost:8080/api/v1/recommendations?user_id=U123 | jq

  1. Neo4j Deployment

    • ✅ Recommended: Neo4j Aura (fully managed)
    • Alternative: Self-hosted on ECS
    • Timeline: Decide before Phase 6
  2. Data Loading Strategy

    • Batch API endpoints (POST with arrays)
    • Direct Kafka consumer
    • S3 → Lambda → Neo4j
    • Timeline: Decide during Phase 3
  3. Testing Strategy

    • Use testcontainers for integration tests?
    • Mock vs real Neo4j for unit tests?
    • Timeline: Decide before Phase 5
  1. Review and approve Phase 1-2 work ← YOU ARE HERE
  2. Implement UserRepository (start Phase 3)
  3. Implement ProductRepository
  4. Implement OfferRepository
  5. Implement RecommendationRepository
  6. Test repositories with local Neo4j
  7. Implement HTTP handlers (start Phase 4)

  • Implementation Plan: See IMPLEMENTATION_PLAN.md
  • Progress Tracking: See PROGRESS.md
  • Project Guidelines: See CLAUDE.md

Ready to continue? The foundation is solid. Phase 3 (repositories) is the next critical milestone.