Automated Development Pipeline - Complete Current Context Last Updated: Week 2.2 - PostgreSQL Database Integration Complete 🎯 PROJECT OVERVIEW Project Vision: Build a fully automated development pipeline that takes natural language requirements and outputs complete, production-ready applications with minimal human intervention. Target: 80-90% reduction in manual coding with sub-30-minute delivery times. Timeline: 12-week project | Current Position: Week 2.2 (Day 9-10) Phase 1: Foundation Infrastructure ✅ COMPLETE Phase 2: n8n Orchestration & AI Integration 🔄 IN PROGRESS 🏗️ SYSTEM ARCHITECTURE (OPERATIONAL) Project Location: /Users/yasha/Documents/Tech4biz-Code-Generator/automated-dev-pipeline Service Ecosystem (12 Services - All Healthy) 🏢 INFRASTRUCTURE LAYER (4 Services) ├── PostgreSQL (port 5432) - pipeline_postgres container ✅ Healthy ├── Redis (port 6379) - pipeline_redis container ✅ Healthy ├── MongoDB (port 27017) - pipeline_mongodb container ✅ Running └── RabbitMQ (ports 5672/15672) - pipeline_rabbitmq container ✅ Healthy 🔀 ORCHESTRATION LAYER (1 Service) └── n8n (port 5678) - pipeline_n8n container ✅ Healthy & Configured 🚪 API GATEWAY LAYER (1 Service) └── API Gateway (port 8000) - pipeline_api_gateway container ✅ Healthy 🤖 MICROSERVICES LAYER (6 Services) ├── Requirement Processor (port 8001) - pipeline_requirement_processor ✅ Healthy ├── Tech Stack Selector (port 8002) - pipeline_tech_stack_selector ✅ Healthy ├── Architecture Designer (port 8003) - pipeline_architecture_designer ✅ Healthy ├── Code Generator (port 8004) - pipeline_code_generator ✅ Healthy ├── Test Generator (port 8005) - pipeline_test_generator ✅ Healthy └── Deployment Manager (port 8006) - pipeline_deployment_manager ✅ Healthy 📊 CURRENT PROGRESS STATUS ✅ COMPLETED ACHIEVEMENTS Phase 1 Infrastructure (100% Complete) Multi-Database Architecture: PostgreSQL + MongoDB + Redis + RabbitMQ Microservices Ecosystem: 7 containerized services with complete code Container Orchestration: Full Docker Compose ecosystem Service Networking: Isolated network with service discovery Health Monitoring: All services with comprehensive health checks Management Toolkit: Complete operational script suite Week 2 Orchestration Setup (95% Complete) ✅ n8n service added to docker-compose.yml ✅ n8n web interface accessible at http://localhost:5678 ✅ n8n owner account created (Pipeline Admin / Admin@12345) ✅ PostgreSQL backend configured for n8n ✅ Service Health Monitor workflow created with: Schedule trigger HTTP Request nodes for all 7 services Merge node and IF condition logic Set nodes for healthy/failed services logging ✅ PostgreSQL database table created: service_health_logs 🔄 CURRENT TASK STATUS Task 2.3: Service Health Monitor Workflow (90% Complete) ✅ Workflow structure: Schedule → HTTP Requests → Merge → IF → Set nodes ✅ Database table created: service_health_logs in dev_pipeline database 🔄 NEXT STEP: Add PostgreSQL nodes to both branches (healthy/failed services) 🛠️ TECHNICAL CONFIGURATION Database Configuration yamlPostgreSQL (pipeline_postgres container): - Host: pipeline_postgres (internal) / localhost:5432 (external) - Database: dev_pipeline - User: pipeline_admin - Password: pipeline_password - Status: ✅ Operational with service_health_logs table created Redis (pipeline_redis): - Host: pipeline_redis / localhost:6379 - Password: redis_secure_2024 MongoDB (pipeline_mongodb): - Host: pipeline_mongodb / localhost:27017 - User: pipeline_user - Password: pipeline_password RabbitMQ (pipeline_rabbitmq): - AMQP: localhost:5672 - Management: localhost:15672 - User: pipeline_admin - Password: rabbit_secure_2024 n8n Configuration yamln8n (pipeline_n8n): - URL: http://localhost:5678 - Owner Account: Pipeline Admin - Email: admin@pipeline.dev - Password: Admin@12345 - Database Backend: PostgreSQL (n8n database) - Status: ✅ Configured and Ready Service Health Endpoints bash# All services respond with JSON health status curl http://localhost:8000/health # API Gateway curl http://localhost:8001/health # Requirement Processor curl http://localhost:8002/health # Tech Stack Selector curl http://localhost:8003/health # Architecture Designer curl http://localhost:8004/health # Code Generator curl http://localhost:8005/health # Test Generator curl http://localhost:8006/health # Deployment Manager 🎯 IMMEDIATE NEXT STEPS Current Session Continuation Location: n8n web interface (http://localhost:5678) Current Workflow: Service Health Monitor workflow Immediate Task: Add PostgreSQL nodes to store health logs Step-by-Step Next Actions: Add PostgreSQL Node for Healthy Services: Click + after "Log Healthy Services" Set node Add Postgres node with connection: Host: pipeline_postgres Port: 5432 Database: dev_pipeline User: pipeline_admin Password: pipeline_password Operation: Insert Table: service_health_logs Add PostgreSQL Node for Failed Services: Click + after "Log Failed Services" Set node Add Postgres node with same connection settings Test Workflow: Execute workflow to verify database logging Check records in PostgreSQL: SELECT * FROM service_health_logs; Upcoming Tasks (Week 2 Completion) Complete Service Health Monitor Workflow Create Basic Development Pipeline Workflow Begin Claude API Integration Implement Service-to-Service Communication 🚀 SYSTEM MANAGEMENT Quick Start Commands bash# Navigate to project cd /Users/yasha/Documents/Tech4biz-Code-Generator/automated-dev-pipeline # Start all services ./scripts/setup/start.sh # Check status docker compose ps # View specific container logs docker logs pipeline_n8n docker logs pipeline_postgres Database Access bash# Connect to PostgreSQL docker exec -it pipeline_postgres psql -U pipeline_admin -d dev_pipeline # View service health logs table \dt SELECT * FROM service_health_logs; # Exit PostgreSQL \q Container Names Reference pipeline_n8n # n8n orchestration pipeline_postgres # PostgreSQL database pipeline_redis # Redis cache pipeline_mongodb # MongoDB document store pipeline_rabbitmq # RabbitMQ message queue pipeline_api_gateway # API Gateway pipeline_requirement_processor # Requirements service pipeline_tech_stack_selector # Tech stack service pipeline_architecture_designer # Architecture service pipeline_code_generator # Code generation service pipeline_test_generator # Test generation service pipeline_deployment_manager # Deployment service 📈 SUCCESS METRICS Infrastructure Services: 4/4 operational (100%) Application Services: 7/7 operational (100%) Orchestration Services: 1/1 operational (100%) Health Monitoring: 12/12 services monitored (100%) Database Integration: PostgreSQL table created and ready Overall Project Progress: 25% Complete (Week 2.2 of 12-week timeline) 🔄 SESSION RESTORATION CHECKLIST When resuming this project: ✅ Verify Location: /Users/yasha/Documents/Tech4biz-Code-Generator/automated-dev-pipeline ✅ Check Services: docker compose ps (should show 12 healthy services) ✅ Access n8n: http://localhost:5678 (Pipeline Admin / Admin@12345) ✅ Database Ready: service_health_logs table exists in dev_pipeline database 🎯 Current Task: Add PostgreSQL nodes to Service Health Monitor workflow 🎯 PROJECT VISION ALIGNMENT This system is designed to be a comprehensive automated development pipeline. Every component serves the ultimate goal of transforming natural language requirements into production-ready applications. The current focus on service health monitoring ensures system reliability as we build toward full automation capabilities. Critical Success Factors: ✅ Infrastructure Stability: ACHIEVED ✅ Service Containerization: ACHIEVED ✅ Orchestration Platform: ACHIEVED ✅ Database Integration: ACHIEVED 🔄 Workflow Development: IN PROGRESS 🎯 AI Integration: NEXT PHASE Next Major Milestone: Complete first orchestration workflow → Begin Claude API integration for natural language processing capabilities. This context ensures complete project continuity and prevents assumptions about system state, container names, or configuration details.