# Automated Development Pipeline - Complete Project Context & Progress Tracker

## 🎯 PROJECT VISION & OBJECTIVES

### **Core Vision**
Create a fully automated development pipeline that takes developer requirements in natural language and outputs a complete, production-ready application with minimal human intervention.

### **Success Metrics**
- 80-90% reduction in manual coding for standard applications
- Complete project delivery in under 30 minutes
- Production-ready code quality (80%+ test coverage)
- Zero developer intervention for deployment pipeline
- Support for both monolithic and microservices architectures

### **Developer Experience Goal**
1. Developer opens simple web interface
2. Describes what they want in plain English
3. Answers a few clarifying questions (if needed)
4. Clicks "Generate"
5. Gets a live, deployed application with URL
6. Can access source code if needed

---

## 🏗️ COMPLETE SYSTEM ARCHITECTURE

### **High-Level Flow**
```
Developer Interface (React)
        ↓
API Gateway (Node.js + JWT)
        ↓
n8n Orchestration Engine
        ↓
┌─────────────┬─────────────┬─────────────┐
│ AI Services │ Code Services│ Infra Services│
│- Requirements│- Generator   │- Testing     │
│- Tech Stack │- Architecture│- Deployment  │
│- Quality    │- Templates   │- Monitoring  │
└─────────────┴─────────────┴─────────────┘
        ↓
Data Layer (PostgreSQL + MongoDB + Redis + RabbitMQ)
        ↓
Generated Applications (Local + CloudtopiAA)
```

### **Technology Stack Matrix**

**Phase 1 Implementation (Weeks 1-4):**
1. **React + Node.js + PostgreSQL** (Full JavaScript)
2. **React + .NET Core + PostgreSQL** (Enterprise)
3. **Vue.js + Python FastAPI + PostgreSQL** (Modern flexible)

**Phase 2 Implementation (Weeks 5-8):**
4. **Angular + Java Spring Boot + PostgreSQL** (Enterprise Java)
5. **Svelte + Go + PostgreSQL** (Performance)
6. **Next.js + Node.js + MongoDB** (Modern full-stack)

**Phase 3 Implementation (Weeks 9-12):**
7. **React + Python Django + PostgreSQL** (Data-heavy)
8. **Vue.js + Ruby Rails + PostgreSQL** (Rapid development)
9. **Angular + .NET Core + SQL Server** (Microsoft ecosystem)

---

## 📁 PROJECT STRUCTURE

```
automated-dev-pipeline/
├── infrastructure/
│   ├── docker/                    # Docker configurations
│   ├── terraform/                 # Infrastructure as Code
│   ├── kubernetes/                # K8s manifests
│   ├── jenkins/                   # CI/CD configurations
│   └── rabbitmq/                  # Message queue configs
├── orchestration/
│   └── n8n/                      # Master workflow engine
│       ├── workflows/             # n8n workflow definitions
│       └── custom-nodes/          # Custom n8n nodes
├── services/
│   ├── api-gateway/              # Central API gateway (Node.js)
│   ├── requirement-processor/     # AI requirement analysis (Python)
│   ├── tech-stack-selector/      # Technology selection AI (Python)
│   ├── architecture-designer/    # System architecture AI (Python)
│   ├── code-generator/           # Multi-framework code gen (Python)
│   ├── test-generator/           # Automated testing (Python)
│   └── deployment-manager/       # Deployment automation (Python)
├── frontend/
│   └── developer-interface/      # React developer UI
├── databases/
│   └── scripts/                  # DB schemas and migrations
├── monitoring/
│   └── configs/                  # Prometheus, Grafana configs
├── generated_projects/           # Output directory
├── scripts/
│   └── setup/                    # Management scripts
└── docs/                         # Documentation
```

---

## 🔧 CORE SYSTEM DESIGN DECISIONS

### **1. Service Communication Architecture**
- **Primary Flow**: Frontend → API Gateway → n8n → Services
- **Direct Communication**: Services ↔ Services (performance-critical)
- **Async Operations**: Services → RabbitMQ → Services
- **Real-time Updates**: Services → Redis Pub/Sub → Frontend

### **2. Error Handling Strategy**
- **Level 1**: Service-Level (3 immediate retries)
- **Level 2**: n8n Workflow-Level (exponential backoff, 5 attempts)
- **Level 3**: Dead Letter Queue (manual intervention)
- **Level 4**: Compensation Transactions (rollback)

### **3. State Management**
- **PostgreSQL**: Current state + Event log + Metadata
- **Redis**: Fast state lookup + Session data + Pub/Sub
- **MongoDB**: Large objects (generated code, templates)
- **State Machine**: 15+ project states with audit trail

### **4. Security Model**
- **External**: JWT tokens for user authentication
- **Internal**: mTLS + Service identity tokens
- **API Gateway**: Rate limiting, input validation, CORS
- **Data**: Encryption at rest and in transit

### **5. Code Storage Strategy**
- **Generated Projects**: Distributed file system (mounted volumes)
- **Code Templates**: MongoDB (versioned, searchable)
- **Metadata**: PostgreSQL (relational data)
- **Version Control**: Gitea/GitLab integration

---

## 📅 COMPLETE IMPLEMENTATION TIMELINE

### **PHASE 1: FOUNDATION (WEEKS 1-2)**

**Week 1: Infrastructure Setup**
- ✅ **COMPLETED**: Project directory structure creation
- ✅ **COMPLETED**: Database schemas (PostgreSQL, MongoDB, Redis)
- ✅ **COMPLETED**: Docker infrastructure configuration
- ✅ **COMPLETED**: 6 Python microservices with complete FastAPI code (158 lines each)
- ✅ **COMPLETED**: 1 Node.js API Gateway with complete Express.js code (113 lines)
- 🔄 **IN PROGRESS**: RabbitMQ message queue setup
- 🔄 **IN PROGRESS**: n8n orchestration engine setup
- ⏳ **PENDING**: Service startup and validation scripts

**Week 2: Core Service Templates & Basic Integration**
- ⏳ Service-to-service communication setup
- ⏳ Basic n8n workflows for service coordination
- ⏳ Health monitoring and logging implementation
- ⏳ Basic API Gateway routing to services
- ⏳ Database connection implementation in all services
- ⏳ Redis caching integration
- ⏳ Message queue producer/consumer setup

### **PHASE 2: AI SERVICES & ORCHESTRATION (WEEKS 3-4)**

**Week 3: Requirements Processing & Tech Stack Selection**
- ⏳ Claude API integration for requirement analysis
- ⏳ Natural language processing for requirement validation
- ⏳ Technical PRD generation from user input
- ⏳ AI-powered technology stack selection algorithm
- ⏳ Framework compatibility matrix implementation
- ⏳ n8n workflows for AI service coordination

**Week 4: Architecture Design & Planning**
- ⏳ Monolithic vs microservices decision engine
- ⏳ Database schema generation from requirements
- ⏳ API contract generation
- ⏳ System architecture diagram generation
- ⏳ Component relationship mapping
- ⏳ Infrastructure requirement calculation

### **PHASE 3: CODE GENERATION ENGINE (WEEKS 5-6)**

**Week 5: Template System & Code Generation Core**
- ⏳ Multi-framework template engine (Jinja2-based)
- ⏳ Code generation for React + Node.js stack
- ⏳ Project scaffolding automation
- ⏳ File structure generation
- ⏳ Dependency management automation
- ⏳ Docker configuration generation

**Week 6: Expanded Framework Support**
- ⏳ React + .NET Core code generation
- ⏳ Vue.js + Python FastAPI code generation
- ⏳ Database migration scripts generation
- ⏳ Environment configuration automation
- ⏳ CI/CD pipeline generation

### **PHASE 4: TESTING & QUALITY ASSURANCE (WEEKS 7-8)**

**Week 7: Automated Test Generation**
- ⏳ Unit test generation for all frameworks
- ⏳ Integration test creation
- ⏳ End-to-end test automation
- ⏳ Test data generation
- ⏳ Mock service creation
- ⏳ Performance test setup

**Week 8: Quality Gates & Validation**
- ⏳ Code quality analysis (SonarQube integration)
- ⏳ Security vulnerability scanning
- ⏳ Performance benchmarking
- ⏳ Code coverage enforcement
- ⏳ Automated code review suggestions
- ⏳ Quality score calculation

### **PHASE 5: DEPLOYMENT & DEVOPS (WEEKS 9-10)**

**Week 9: Local Development Environment**
- ⏳ Docker Compose generation for local dev
- ⏳ Hot reload configuration
- ⏳ Local database seeding
- ⏳ Development proxy setup
- ⏳ Environment variable management
- ⏳ Debug configuration setup

**Week 10: CloudtopiAA Integration**
- ⏳ CloudtopiAA API integration
- ⏳ Automated infrastructure provisioning
- ⏳ Staging environment deployment
- ⏳ Production environment setup
- ⏳ Domain and SSL configuration
- ⏳ Monitoring and alerting setup

### **PHASE 6: FRONTEND & USER EXPERIENCE (WEEKS 11-12)**

**Week 11: Developer Interface**
- ⏳ React frontend development
- ⏳ Real-time progress tracking (WebSocket)
- ⏳ Project creation wizard
- ⏳ Code preview and download
- ⏳ Deployment status monitoring
- ⏳ Error handling and user feedback

**Week 12: Polish & Advanced Features**
- ⏳ Advanced configuration options
- ⏳ Project templates and presets
- ⏳ Collaboration features
- ⏳ Analytics and usage tracking
- ⏳ Documentation generation
- ⏳ Performance optimization

---

## 📋 CURRENT STATUS & PROGRESS

### **✅ COMPLETED ITEMS**

1. **Project Structure**: Complete directory structure with all necessary folders
2. **Database Design**: 
   - PostgreSQL schemas with 8 main tables
   - MongoDB initialization for templates and code storage
   - Redis configuration for caching and real-time data
3. **Microservices**: 
   - 6 Python FastAPI services (158 lines each):
     - requirement-processor (port 8001)
     - tech-stack-selector (port 8002) 
     - architecture-designer (port 8003)
     - code-generator (port 8004)
     - test-generator (port 8005)
     - deployment-manager (port 8006)
   - 1 Node.js Express API Gateway (113 lines, port 8000)
4. **Docker Configuration**: Complete docker-compose.yml with all infrastructure services
5. **Environment Setup**: .env files, .gitignore, and basic configuration

### **🔄 CURRENTLY IN PROGRESS (Step 1.5-1.6)**

1. **RabbitMQ Setup**: Message queue configuration for service communication
2. **Startup Scripts**: Automated startup and health checking scripts
3. **Service Integration**: Connecting all services together

### **⏳ IMMEDIATE NEXT STEPS**

1. **Complete Phase 1** (Remaining 2-3 hours):
   - Finish RabbitMQ setup
   - Create and test startup scripts
   - Validate all services start correctly
   - Test inter-service communication

2. **Begin Phase 2** (Week 3):
   - Add n8n orchestration engine
   - Implement basic workflows
   - Add Claude API integration
   - Create requirement processing logic

---

## 🎛️ SERVICE SPECIFICATIONS

### **API Gateway (Node.js - Port 8000)**
- **Technology**: Express.js + Socket.io + JWT
- **Functions**: Authentication, routing, rate limiting, WebSocket management
- **Endpoints**: `/health`, `/api/v1/status`, WebSocket connections
- **Status**: ✅ Complete (113 lines)

### **Requirement Processor (Python - Port 8001)**
- **Technology**: FastAPI + Claude API + LangChain
- **Functions**: Natural language processing, PRD generation, requirement validation
- **Endpoints**: `/health`, `/api/v1/process`, `/api/v1/cache/{project_id}`
- **Status**: ✅ Basic structure complete (158 lines)

### **Tech Stack Selector (Python - Port 8002)**
- **Technology**: FastAPI + AI Decision Engine
- **Functions**: Technology selection, compatibility checking, recommendation generation
- **Status**: ✅ Basic structure complete (158 lines)

### **Architecture Designer (Python - Port 8003)**
- **Technology**: FastAPI + Claude + Mermaid
- **Functions**: Architecture decisions, database design, API contracts
- **Status**: ✅ Basic structure complete (158 lines)

### **Code Generator (Python - Port 8004)**
- **Technology**: FastAPI + Template Engines + Multi-framework support
- **Functions**: Code generation for 9+ framework combinations
- **Status**: ✅ Basic structure complete (158 lines)

### **Test Generator (Python - Port 8005)**
- **Technology**: FastAPI + Testing frameworks
- **Functions**: Unit, integration, E2E test generation
- **Status**: ✅ Basic structure complete (158 lines)

### **Deployment Manager (Python - Port 8006)**
- **Technology**: FastAPI + Docker + CloudtopiAA APIs
- **Functions**: Local and cloud deployment automation
- **Status**: ✅ Basic structure complete (158 lines)

---

## 🗃️ DATABASE ARCHITECTURE

### **PostgreSQL Tables**
1. **projects**: Main project entity with status tracking
2. **tech_stack_decisions**: Technology selection results
3. **system_architectures**: Architecture design artifacts
4. **code_generations**: Generated code tracking
5. **test_results**: Test execution results
6. **deployment_logs**: Deployment history
7. **service_health**: Service monitoring
8. **project_state_transitions**: Audit trail

### **MongoDB Collections**
1. **code_templates**: Framework-specific templates
2. **framework_configs**: Technology configurations
3. **generated_projects**: Complete project storage
4. **ai_prompts**: AI prompt templates

### **Redis Usage**
1. **Caching**: API responses, computed results
2. **Sessions**: User session management
3. **Pub/Sub**: Real-time updates
4. **Queues**: Background task processing

---

## 🔗 INTEGRATION POINTS

### **External APIs**
- **Claude API**: Natural language processing, code generation
- **CloudtopiAA API**: Cloud deployment and infrastructure
- **Git APIs**: Repository management (Gitea/GitLab)

### **Internal Communication**
- **HTTP REST**: Service-to-service API calls
- **RabbitMQ**: Async message passing
- **WebSocket**: Real-time frontend updates
- **Redis Pub/Sub**: Event broadcasting

---

## 🚨 CRITICAL SUCCESS FACTORS

1. **AI Quality**: Robust prompt engineering for consistent outputs
2. **Error Handling**: Comprehensive error recovery at all levels
3. **Performance**: Sub-30-minute end-to-end generation time
4. **Scalability**: Handle 100+ concurrent generations
5. **Quality Gates**: Ensure generated code meets production standards
6. **Monitoring**: Real-time visibility into all pipeline stages

---

## 🛠️ IMMEDIATE ACTION ITEMS

### **To Complete Phase 1 (Next Session)**
1. **Run**: RabbitMQ configuration commands
2. **Create**: Startup and stop scripts
3. **Test**: `./scripts/setup/start.sh` command
4. **Verify**: All services start and respond to health checks
5. **Validate**: Database connections and message queue operation

### **Commands Ready to Execute**
```bash
# Complete Step 1.5 - RabbitMQ Setup
mkdir -p infrastructure/rabbitmq && [RabbitMQ config commands]

# Complete Step 1.6 - Startup Scripts  
cat > scripts/setup/start.sh << 'EOF' && [startup script content]

# Test Phase 1
./scripts/setup/start.sh
```

---

## 🎯 CONTEXT RESTORATION CHECKLIST

**When resuming this project, verify:**
1. ✅ Are we in the `automated-dev-pipeline` directory?
2. ✅ Do all 7 services exist with proper line counts?
3. ✅ Is docker-compose.yml present with all infrastructure services?
4. ✅ Are database scripts in place?
5. 🔄 Have we completed RabbitMQ setup? (Step 1.5)
6. 🔄 Have we completed startup scripts? (Step 1.6)
7. ⏳ Can we successfully run `./scripts/setup/start.sh`?

**Current Position**: Phase 1, Step 1.4 ✅ Complete, Step 1.5-1.6 🔄 In Progress

**Next Milestone**: Complete Phase 1 Foundation → Begin Phase 2 AI Services Integration

This context document ensures project continuity regardless of session interruptions.