149 lines
4.0 KiB
Markdown
149 lines
4.0 KiB
Markdown
# Backend Conversion Summary
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## ✅ Conversion Complete
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Your Node.js backend has been successfully converted to Python using Flask and SQLAlchemy.
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## 📁 New Python Files Created
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### Core Application
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- **app.py** - Main Flask application (replaces server.js)
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- **start.py** - Startup script for easy launching
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- **requirements.txt** - Python dependencies (replaces package.json)
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### Database Layer
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- **database/database.py** - SQLAlchemy database configuration (replaces database.js)
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### Models (Sequelize → SQLAlchemy)
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- **models/TrainingProject.py**
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- **models/TrainingProjectDetails.py**
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- **models/training.py**
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- **models/LabelStudioProject.py**
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- **models/Images.py**
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- **models/Annotation.py**
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- **models/__init__.py**
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### API Routes
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- **routes/api.py** - All API endpoints converted to Flask blueprints (replaces api.js)
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- **routes/__init__.py**
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### Services
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- **services/fetch_labelstudio.py** - Label Studio API integration
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- **services/seed_label_studio.py** - Database seeding logic
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- **services/generate_json_yolox.py** - COCO JSON generation
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- **services/generate_yolox_exp.py** - YOLOX experiment file generation
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- **services/push_yolox_exp.py** - Save training settings to DB
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- **services/__init__.py**
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### Documentation
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- **README.md** - Comprehensive documentation
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- **QUICKSTART.md** - Quick setup guide
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- **.gitignore** - Python-specific ignore patterns
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## 🔄 Key Changes
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### Technology Stack
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| Component | Node.js | Python |
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|-----------|---------|--------|
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| Framework | Express.js | Flask |
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| ORM | Sequelize | SQLAlchemy |
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| HTTP Client | node-fetch | requests |
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| Package Manager | npm | pip |
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| Runtime | Node.js | Python 3.8+ |
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### API Compatibility
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✅ All endpoints preserved with same URLs
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✅ Request/response formats maintained
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✅ Same database schema
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✅ Same business logic
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### Converted Features
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- ✅ Training project management
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- ✅ Label Studio integration
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- ✅ YOLOX configuration and training
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- ✅ File upload handling
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- ✅ Image and annotation management
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- ✅ COCO JSON generation
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- ✅ Training logs
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## 🚀 Getting Started
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1. **Install dependencies:**
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```bash
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cd backend
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python -m venv venv
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.\venv\Scripts\Activate.ps1 # Windows
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pip install -r requirements.txt
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```
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2. **Run the server:**
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```bash
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python start.py
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```
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3. **Server runs at:** `http://0.0.0.0:3000`
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## 📦 Dependencies Installed
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- Flask 3.0.0 - Web framework
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- Flask-CORS 4.0.0 - Cross-origin resource sharing
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- Flask-SQLAlchemy 3.1.1 - ORM integration
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- SQLAlchemy 2.0.23 - Database ORM
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- PyMySQL 1.1.0 - MySQL driver
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- requests 2.31.0 - HTTP client
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- Pillow 10.1.0 - Image processing
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## ⚠️ Important Notes
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1. **Virtual Environment**: Always activate the virtual environment before running
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2. **Database**: MySQL must be running with the `myapp` database created
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3. **Credentials**: Update database credentials in `app.py` if needed
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4. **Python Version**: Requires Python 3.8 or higher
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## 🧪 Testing
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Test the conversion:
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```bash
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# Get all training projects
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curl http://localhost:3000/api/training-projects
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# Get Label Studio projects
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curl http://localhost:3000/api/label-studio-projects
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```
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## 📝 Original Files
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Your original Node.js files remain untouched:
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- server.js
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- package.json
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- routes/api.js
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- models/*.js (JavaScript)
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- services/*.js (JavaScript)
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You can keep them as backup or remove them once you verify the Python version works correctly.
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## 🔍 What to Verify
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1. ✅ Database connection works
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2. ✅ All API endpoints respond correctly
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3. ✅ File uploads work
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4. ✅ Label Studio integration works
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5. ✅ YOLOX training can be triggered
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6. ✅ COCO JSON generation works
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## 🐛 Troubleshooting
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See **QUICKSTART.md** for common issues and solutions.
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## 📚 Further Documentation
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- **README.md** - Complete project documentation
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- **QUICKSTART.md** - Setup guide
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- **API Documentation** - All endpoints documented in README.md
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---
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**Conversion completed successfully!** 🎉
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Your backend is now running on Python with Flask and SQLAlchemy.
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