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.