PDFMiner Microservice Architecture

Hệ thống microservice để xử lý, phân tích và tìm kiếm documents với vector embeddings và AI-powered search.

🏗️ Kiến trúc tổng quan

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Gateway       │    │ Discovery       │    │ Config Server   │
│   (Port 8080)   │    │ Service         │    │ (Port 8888)     │
│                 │    │ (Port 8761)     │    │                 │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         └───────────────────────┼───────────────────────┘
                                 │
    ┌────────────────────────────┼────────────────────────────┐
    │                            │                            │
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ User Service    │    │ Metadata        │    │ Storage         │
│ (Port 8081)     │    │ Service         │    │ Service         │
│                 │    │ (Port 8082)     │    │ (Port 8084)     │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         └───────────────────────┼───────────────────────┘
                                 │
    ┌────────────────────────────┼────────────────────────────┐
    │                            │                            │
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ Notification    │    │ Embedding       │    │ Audit Service   │
│ Service         │    │ Service         │    │                 │
│ (Port 8085)     │    │ (Port 8083)     │    │                 │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │
         └───────────────────────┘
                 │
        ┌─────────────────┐
        │ External        │
        │ Dependencies    │
        │                 │
        │ • Kafka         │
        │ • Zilliz Cloud  │
        │ • PostgreSQL    │
        │ • Redis         │
        └─────────────────┘

📦 Services

Core Services (Java/Spring Boot)

Service	Port	Description	Technology
Gateway	8080	API Gateway & Load Balancer	Spring Cloud Gateway
Discovery	8761	Service Registry	Eureka Server
Config Server	8888	Centralized Configuration	Spring Cloud Config
User Service	8081	User Management & Authentication	Spring Boot + JWT
Metadata Service	8082	Document Metadata & Search	Spring Boot + JPA
Storage Service	8084	File Storage & Management	Spring Boot + MinIO
Notification Service	8085	Email & Push Notifications	Spring Boot
Audit Service	-	Activity Logging & Monitoring	Spring Boot

AI/ML Services (Python)

Service	Port	Description	Technology
Embedding Service	8083	Vector Embeddings & Similarity Search	Python + FastAPI + Zilliz Cloud
OCR Service	-	Document Text Extraction	Python + PaddleOCR + VietOCR

🚀 Quick Start

Prerequisites

• Java 17+
• Maven 3.8+
• Python 3.9+
• Docker & Docker Compose
• PostgreSQL
• Redis
• Kafka

1. Clone Repository

git clone <repository-url>
cd PDFMiner-microservice

2. Start Infrastructure Services

# Start PostgreSQL, Redis, Kafka
docker-compose -f infrastructure/docker-compose.yml up -d

3. Start Core Services

# Build all Java services
mvn clean compile

# Start Config Server (first)
cd config-server && mvn spring-boot:run &

# Start Discovery Service
cd discovery-service && mvn spring-boot:run &

# Start other services
cd gateway && mvn spring-boot:run &
cd user-service && mvn spring-boot:run &
cd metadata-service && mvn spring-boot:run &
cd storage-service && mvn spring-boot:run &
cd notification-service && mvn spring-boot:run &

4. Start AI/ML Services

# Embedding Service
cd embedding-service
chmod +x start.sh
./start.sh

# OCR Service
cd ocr-service
python server.py

5. Access Services

• API Gateway: http://localhost:8080
• Discovery Dashboard: http://localhost:8761
• Embedding Service: http://localhost:8083
• Health Checks: http://localhost:8080/actuator/health

🔧 Configuration

Environment Variables

Create .env files in each service directory:

# Database
DB_HOST=localhost
DB_PORT=5432
DB_NAME=pdfminer
DB_USERNAME=postgres
DB_PASSWORD=password

# Redis
REDIS_HOST=localhost
REDIS_PORT=6379

# Kafka
KAFKA_BOOTSTRAP_SERVERS=localhost:9092

# Zilliz Cloud (for Embedding Service)
ZILLIZ_CLOUD_URI=your_zilliz_uri
ZILLIZ_CLOUD_TOKEN=your_zilliz_token

Service Discovery

Services tự động register với Eureka Server:

eureka:
  client:
    service-url:
      defaultZone: http://localhost:8761/eureka/

📋 API Documentation

Gateway Endpoints

# User Management
POST /api/users/register
POST /api/users/login
GET  /api/users/profile

# Document Management
POST /api/documents/upload
GET  /api/documents/{id}
POST /api/documents/search

# Vector Search
POST /api/embeddings/search
POST /api/embeddings/similar

# File Storage
POST /api/storage/upload
GET  /api/storage/download/{id}

Direct Service APIs

• Swagger UI: http://localhost:{port}/swagger-ui.html
• OpenAPI: http://localhost:{port}/v3/api-docs

🔍 Monitoring & Observability

Health Checks

# Overall system health
curl http://localhost:8080/actuator/health

# Individual services
curl http://localhost:8081/actuator/health  # User Service
curl http://localhost:8082/actuator/health  # Metadata Service
curl http://localhost:8083/health           # Embedding Service

Metrics & Logging

• Prometheus: http://localhost:9090
• Grafana: http://localhost:3000
• Centralized Logging: ELK Stack
• Distributed Tracing: Sleuth + Zipkin

🛠️ Development

Adding New Service

1. Create new Maven module:

mkdir new-service
cd new-service
# Copy from template service

2. Update root pom.xml:

<modules>
    <!-- existing modules -->
    <module>new-service</module>
</modules>

3. Configure service discovery and config

Testing

# Unit tests
mvn test

# Integration tests
mvn integration-test

# End-to-end tests
cd tests && python -m pytest

🔒 Security

• JWT Authentication với Spring Security
• Rate Limiting trong Gateway
• Input Validation và sanitization
• HTTPS/TLS cho production
• API Key management cho external services

📊 Performance

Benchmarks

• Gateway Throughput: 10,000 RPS
• Vector Search: <100ms response time
• Document Processing: 50 documents/minute
• OCR Processing: 2-5 pages/minute

Scaling

• Horizontal Scaling: Multiple instances với load balancing
• Database Sharding: Partitioned by tenant/user
• Caching Strategy: Redis cho frequently accessed data
• CDN: Static files và images

🚢 Deployment

Docker

# Build all services
docker-compose build

# Deploy to staging
docker-compose -f docker-compose.staging.yml up -d

# Deploy to production
docker-compose -f docker-compose.prod.yml up -d

Kubernetes

# Apply configurations
kubectl apply -f k8s/

# Check deployment status
kubectl get pods
kubectl get services

Cloud Deployment

• AWS: EKS + RDS + ElastiCache + S3
• GCP: GKE + Cloud SQL + Cloud Storage
• Azure: AKS + Azure Database + Blob Storage

📚 Documentation

• API Documentation
• Architecture Guide
• Deployment Guide
• Development Setup
• Troubleshooting

🤝 Contributing

1. Fork repository
2. Create feature branch: git checkout -b feature/new-feature
3. Commit changes: git commit -m 'Add new feature'
4. Push branch: git push origin feature/new-feature
5. Create Pull Request

📄 License

This project is licensed under the MIT License - see LICENSE file.

🆘 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Wiki: Project Wiki
• Email: support@pdfminer.com

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Built with ❤️ using Spring Boot, FastAPI, and modern microservice patterns