PDFMiner - Hệ Thống Microservice Xử Lý Tài Liệu Thông Minh

Hệ thống microservice để quản lý, xử lý, phân tích tài liệu PDF với khả năng OCR, tìm kiếm nâng cao và AI-powered document processing.

🏗️ Kiến trúc tổng quan

                            ┌─────────────────────┐
                            │   Config Server     │
                            │   (Port 8888)       │
                            └──────────┬──────────┘
                                       │
                            ┌──────────▼──────────┐
                            │ Discovery Service   │
                            │   (Eureka 8761)     │
                            └──────────┬──────────┘
                                       │
┌──────────────────────────────────────┼──────────────────────────────────────┐
│                                      │                                      │
│  ┌───────────────────────────────────▼────────────────────────────────┐   │
│  │                         Gateway (Port 8080)                         │   │
│  │                    Spring Cloud Gateway + JWT                       │   │
│  └───────────────────────────────────┬────────────────────────────────┘   │
│                                      │                                      │
│  ┌───────────────────┬───────────────┼───────────────┬──────────────────┐ │
│  │                   │               │               │                  │ │
│  ▼                   ▼               ▼               ▼                  ▼ │
│ ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐
│ │   User     │ │  Document  │ │  Storage   │ │ Processing │ │   WebApp   │
│ │  Service   │ │  Service   │ │  Service   │ │  Service   │ │  (React)   │
│ │ Port 8081  │ │ Port 8082  │ │ Port 8084  │ │  (Python)  │ │  (Vite)    │
│ └─────┬──────┘ └─────┬──────┘ └─────┬──────┘ └─────┬──────┘ └────────────┘
│       │              │              │              │
│       │   MongoDB    │ Elasticsearch│   AWS S3     │   Kafka
│       └──────────────┴──────────────┴──────────────┴────────────────────┐
│                                                                          │
└──────────────────────────────────────────────────────────────────────────┘
                                     │
                          ┌──────────▼──────────┐
                          │  Infrastructure     │
                          │  • Kafka/Zookeeper  │
                          │  • Elasticsearch    │
                          │  • Kibana           │
                          └─────────────────────┘

📦 Các Service

Core Services (Java/Spring Boot 3.4.4)

Service	Port	Description	Technology Stack
Config Server	8888	Quản lý cấu hình tập trung	Spring Cloud Config
Discovery Service	8761	Service Registry & Discovery	Netflix Eureka Server
Gateway	8080	API Gateway, Routing, JWT Auth	Spring Cloud Gateway + WebFlux
User Service	8081	Quản lý người dùng & xác thực	Spring Boot + MongoDB + JWT
Document Service	8082	Quản lý metadata tài liệu & tìm kiếm	Spring Boot + Elasticsearch + Kafka
Storage Service	8084	Lưu trữ và quản lý file PDF	Spring Boot + AWS S3 + JWT

AI/ML Services (Python)

Service	Description	Technology Stack
Processing Service	OCR, Table Extraction, Document Processing	Python + PaddleOCR + VietOCR + FastAPI + Kafka

Frontend (React + TypeScript)

Service	Port	Description	Technology Stack
WebApp	5173	Giao diện người dùng	React 19 + TypeScript + Vite + Ant Design + Material-UI

🚀 Quick Start

Prerequisites

• Java 17+
• Maven 3.9+
• Node.js 18+ & npm/yarn
• Python 3.9+
• Docker & Docker Compose
• MongoDB (cho User Service)
• Elasticsearch 7.17+ (cho Document Service)
• AWS S3 (hoặc S3-compatible storage cho Storage Service)

1. Clone Repository

git clone https://github.com/BuiDoKhoiNguyen/PDFMiner.git
cd PDFMiner

2. Start Infrastructure Services

# Start Kafka, Zookeeper, Elasticsearch, Kibana
cd infrastructure
docker-compose up -d

# Verify services are running
docker-compose ps

Services started:

• Zookeeper: localhost:2181
• Kafka: localhost:9092
• Kafka UI: localhost:8386
• Elasticsearch: localhost:9200
• Kibana: localhost:5601

3. Start Core Services (Java)

3.1. Build All Services

# Build từ root project
mvn clean install -DskipTests

3.2. Start Services (theo thứ tự)

Bước 1: Start Config Server (bắt buộc chạy đầu tiên)

cd config-server
mvn spring-boot:run

Bước 2: Start Discovery Service

cd discovery-service
mvn spring-boot:run

Bước 3: Start API Gateway

cd gateway
mvn spring-boot:run

Bước 4: Start Business Services (có thể chạy song song)

# Terminal 1 - User Service
cd user-service
mvn spring-boot:run

# Terminal 2 - Document Service
cd document-service
mvn spring-boot:run

# Terminal 3 - Storage Service
cd storage-service
mvn spring-boot:run

4. Start AI/ML Processing Service (Python)

cd processing-service

# Cài đặt dependencies
pip install -r requirements.txt

# Start service
chmod +x start.sh
./start.sh

# Hoặc chạy trực tiếp
python server.py

5. Start Frontend WebApp

cd webapp

# Cài đặt dependencies
npm install

# Start development server
npm run dev

6. Access Services

Service	URL	Description
WebApp	http://localhost:5173	Giao diện người dùng
API Gateway	http://localhost:8080	API Gateway
Eureka Dashboard	http://localhost:8761	Service Registry Dashboard
Kafka UI	http://localhost:8386	Kafka Management UI
Kibana	http://localhost:5601	Elasticsearch Dashboard
Elasticsearch	http://localhost:9200	Elasticsearch API

🔧 Configuration

Cấu hình tập trung (Config Server)

Các file cấu hình được quản lý tập trung tại thư mục config/:

config/
├── application.properties        # Cấu hình chung
├── document-service.yml         # Document Service config
├── eureka-server.yml            # Discovery Service config
├── gateway.yml                  # Gateway config
├── storage-service.yml          # Storage Service config
└── user-service.yml             # User Service config

Environment Variables

Tạo file .env hoặc cấu hình biến môi trường:

# MongoDB (User Service)
MONGODB_URI=mongodb://localhost:27017/pdfminer
MONGODB_DATABASE=pdfminer

# Elasticsearch (Document Service)
ELASTICSEARCH_HOST=localhost
ELASTICSEARCH_PORT=9200

# AWS S3 (Storage Service)
AWS_ACCESS_KEY_ID=your_access_key
AWS_SECRET_ACCESS_KEY=your_secret_key
AWS_REGION=ap-southeast-1
AWS_S3_BUCKET=pdfminer-storage

# Kafka
KAFKA_BOOTSTRAP_SERVERS=localhost:9092

# JWT Secret
JWT_SECRET=your_jwt_secret_key_here
JWT_EXPIRATION=86400000

# Google Gemini API (Document Service)
GEMINI_API_KEY=your_gemini_api_key_here

🌟 Features

Core Features

• ✅ Quản lý người dùng: Đăng ký, đăng nhập, phân quyền với JWT
• ✅ Upload & Storage: Upload PDF files lên AWS S3
• ✅ Document Processing: OCR tiếng Việt với PaddleOCR & VietOCR
• ✅ Table Extraction: Trích xuất bảng từ PDF thành structured data
• ✅ Full-text Search: Tìm kiếm nội dung tài liệu với Elasticsearch
• ✅ Metadata Management: Quản lý metadata và indexing
• ✅ Real-time Processing: Xử lý bất đồng bộ với Kafka

Advanced Features

• 🔄 Microservice Architecture: Scalable và maintainable
• 🔐 Security: JWT authentication & authorization
• 📊 Monitoring: Service health checks & monitoring
• 🚀 Service Discovery: Automatic service registration với Eureka
• ⚙️ Centralized Config: Quản lý cấu hình tập trung
• 🎯 API Gateway: Single entry point với routing thông minh

📚 API Documentation

Authentication APIs (via Gateway)

Base URL: http://localhost:8080/api/users

# Register
POST /api/users/auth/register
Content-Type: application/json
{
  "username": "[email protected]",
  "password": "password123",
  "fullName": "John Doe"
}

# Login
POST /api/users/auth/login
Content-Type: application/json
{
  "username": "[email protected]",
  "password": "password123"
}

# Response
{
  "accessToken": "eyJhbGciOiJIUzI1NiIs...",
  "tokenType": "Bearer"
}

Document APIs (via Gateway)

Base URL: http://localhost:8080/api/documents

# Upload Document
POST /api/storage/upload
Authorization: Bearer {token}
Content-Type: multipart/form-data
file: [PDF file]

# Search Documents
GET /api/documents/search?query=keyword
Authorization: Bearer {token}

# Get Document Details
GET /api/documents/{id}
Authorization: Bearer {token}

🛠️ Technology Stack

Backend (Java)

• Spring Boot 3.4.4
• Spring Cloud 2024.0.1
  • Spring Cloud Config
  • Spring Cloud Gateway
  • Netflix Eureka
  • OpenFeign
• Spring Security + JWT
• Spring Data MongoDB
• Spring Data Elasticsearch
• Spring Kafka
• AWS SDK for S3
• Lombok
• ModelMapper

AI/ML (Python)

• FastAPI - Web framework
• PaddleOCR - OCR engine
• VietOCR - Vietnamese OCR
• Kafka-Python - Kafka consumer/producer
• PyTorch - Deep learning framework
• PIL/OpenCV - Image processing
• pandas - Data manipulation
• Google Generative AI - AI-powered text processing

Frontend

• React 19
• TypeScript
• Vite - Build tool
• Ant Design Pro Components
• Material-UI
• React Router DOM
• Axios - HTTP client
• TanStack Query - Server state management
• JWT Decode

Infrastructure

• Kafka + Zookeeper - Message broker
• Elasticsearch 7.17 - Search engine
• Kibana 7.17 - Elasticsearch UI
• MongoDB - User data storage
• AWS S3 - File storage
• Docker - Containerization

📂 Project Structure

PDFMiner/
├── config/                          # Centralized configuration files
│   ├── application.properties
│   ├── document-service.yml
│   ├── eureka-server.yml
│   ├── gateway.yml
│   ├── storage-service.yml
│   └── user-service.yml
├── config-server/                   # Spring Cloud Config Server
├── discovery-service/               # Eureka Server
├── gateway/                         # API Gateway
├── user-service/                    # User management & authentication
├── document-service/                # Document metadata & search
├── storage-service/                 # File storage with AWS S3
├── processing-service/              # Python AI/ML service
│   ├── PaddleOCR/                  # OCR engine
│   ├── vietocr/                    # Vietnamese OCR
│   ├── kafka_consumer.py           # Kafka consumer
│   ├── server.py                   # FastAPI server
│   ├── table_ocr.py                # Table extraction
│   └── requirements.txt
├── webapp/                          # React frontend
│   ├── src/
│   ├── public/
│   └── package.json
├── infrastructure/                  # Docker compose files
│   └── docker-compose.yml
└── pom.xml                         # Parent POM

🔄 Data Flow

Upload & Process Document Flow

1. User uploads PDF via WebApp (React)
   ↓
2. Gateway routes to Storage Service
   ↓
3. Storage Service uploads to AWS S3
   ↓
4. Storage Service publishes event to Kafka
   ↓
5. Processing Service (Python) consumes event
   ↓
6. Processing Service performs OCR & Table Extraction
   ↓
7. Processing Service sends results to Document Service
   ↓
8. Document Service indexes to Elasticsearch
   ↓
9. WebApp displays processing status & results

Search Flow

1. User searches from WebApp
   ↓
2. Gateway routes to Document Service
   ↓
3. Document Service queries Elasticsearch
   ↓
4. Results returned with metadata
   ↓
5. WebApp displays search results

🧪 Testing

# Test all Java services
mvn test

# Test specific service
cd user-service
mvn test

# Test Python service
cd processing-service
pytest

📊 Monitoring & Health Checks

Service Health Endpoints

# Check all registered services
curl http://localhost:8761/eureka/apps

# Individual service health
curl http://localhost:8081/actuator/health  # User Service
curl http://localhost:8082/actuator/health  # Document Service
curl http://localhost:8084/actuator/health  # Storage Service

Kafka Monitoring

Access Kafka UI: http://localhost:8386

Elasticsearch Monitoring

Access Kibana: http://localhost:5601

🐛 Troubleshooting

Common Issues

1. Service không register với Eureka

# Kiểm tra Eureka server đang chạy
curl http://localhost:8761

# Kiểm tra config trong application.yml
eureka:
  client:
    service-url:
      defaultZone: http://localhost:8761/eureka/

2. Kafka connection refused

# Kiểm tra Kafka đang chạy
docker ps | grep kafka

# Restart Kafka
cd infrastructure
docker-compose restart kafka

3. Elasticsearch connection timeout

# Kiểm tra Elasticsearch
curl http://localhost:9200

# Restart Elasticsearch
docker-compose restart elasticsearch

4. MongoDB connection error

# Kiểm tra MongoDB đang chạy
mongosh --eval "db.adminCommand('ping')"

# Kiểm tra connection string trong config

� Development Guide

Adding a New Service

1. Create new Maven module
2. Add to parent pom.xml
3. Configure bootstrap.yml with Config Server
4. Register with Eureka
5. Add routing in Gateway
6. Update documentation

Code Style

• Follow Google Java Style Guide
• Use Lombok for boilerplate code
• Write meaningful commit messages
• Add Javadoc for public APIs

🚀 Deployment

Docker Deployment (Coming Soon)

# Build all services
./build-all.sh

# Deploy with Docker Compose
docker-compose up -d

Kubernetes Deployment (Coming Soon)

kubectl apply -f k8s/

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

This project is licensed under the MIT License.

👥 Team

• Bui Do Khoi Nguyen - @BuiDoKhoiNguyen

📞 Contact

For questions or support, please open an issue on GitHub.

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Made with ❤️ by PDFMiner Team

# 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: [email protected]

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