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