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1. 首先创建项目结构：

fashion_store/
├── backend/
│   ├── app/
│   │   ├── __init__.py
│   │   ├── models/
│   │   ├── routes/
│   │   ├── services/
│   │   └── utils/
│   ├── config.py
│   ├── requirements.txt
│   └── run.py
└── frontend/├── android/├── ios/├── lib/│   ├── main.dart│   ├── screens/│   ├── widgets/│   └── services/└── pubspec.yaml

2. 后端核心代码：

# backend/requirements.txt
flask==2.0.1
flask-sqlalchemy==2.5.1
flask-cors==3.0.10
opencv-python==4.5.3.56
numpy==1.21.2
pillow==8.3.2

# backend/config.py
class Config:SQLALCHEMY_DATABASE_URI = 'sqlite:///fashion_store.db'SQLALCHEMY_TRACK_MODIFICATIONS = FalseSECRET_KEY = 'your-secret-key'UPLOAD_FOLDER = 'uploads'

# backend/app/__init__.py
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from config import Configdb = SQLAlchemy()def create_app():app = Flask(__name__)app.config.from_object(Config)CORS(app)db.init_app(app)from app.routes import main_bpapp.register_blueprint(main_bp)return app

# backend/app/models/user.py
from app import dbclass User(db.Model):id = db.Column(db.Integer, primary_key=True)username = db.Column(db.String(80), unique=True, nullable=False)email = db.Column(db.String(120), unique=True, nullable=False)password_hash = db.Column(db.String(128))preferences = db.Column(db.JSON)class Product(db.Model):id = db.Column(db.Integer, primary_key=True)name = db.Column(db.String(100), nullable=False)description = db.Column(db.Text)price = db.Column(db.Float, nullable=False)image_url = db.Column(db.String(200))category = db.Column(db.String(50))ar_model_url = db.Column(db.String(200))

# backend/app/services/recommendation.py
import numpy as npclass RecommendationService:def __init__(self):self.model = None  # 这里可以加载预训练的推荐模型def get_recommendations(self, user_id):# 示例推荐逻辑from app.models import Productproducts = Product.query.all()return np.random.choice(products, 5, replace=False)

# backend/app/services/virtual_fitting.py
import cv2
import numpy as npclass VirtualFittingService:def process_image(self, user_image, product_image):# 简化版虚拟试衣逻辑user_img = cv2.imread(user_image)product_img = cv2.imread(product_image)# 这里应该有更复杂的AR处理逻辑result = cv2.addWeighted(user_img, 0.7, product_img, 0.3, 0)return result

3. 前端核心代码：

# frontend/pubspec.yaml
name: fashion_store
description: A fashion store app with AR fitting roomdependencies:flutter:sdk: flutterhttp: ^0.13.3camera: ^0.9.4ar_flutter_plugin: ^0.6.2provider: ^6.0.1

// frontend/lib/main.dart
import 'package:flutter/material.dart';
import 'package:fashion_store/screens/home_screen.dart';void main() {runApp(FashionStore());
}class FashionStore extends StatelessWidget {@overrideWidget build(BuildContext context) {return MaterialApp(title: '时尚购物',theme: ThemeData(primarySwatch: Colors.pink,visualDensity: VisualDensity.adaptivePlatformDensity,),home: HomeScreen(),);}
}

// frontend/lib/screens/home_screen.dart
import 'package:flutter/material.dart';
import '../widgets/product_grid.dart';
import '../widgets/recommendation_section.dart';class HomeScreen extends StatefulWidget {@override_HomeScreenState createState() => _HomeScreenState();
}class _HomeScreenState extends State<HomeScreen> {int _selectedIndex = 0;@overrideWidget build(BuildContext context) {return Scaffold(appBar: AppBar(title: Text('时尚购物'),actions: [IconButton(icon: Icon(Icons.shopping_cart),onPressed: () {// 打开购物车},),],),body: IndexedStack(index: _selectedIndex,children: [HomeTab(),CategoryTab(),VirtualFittingTab(),ProfileTab(),],),bottomNavigationBar: BottomNavigationBar(items: [BottomNavigationBarItem(icon: Icon(Icons.home), label: '首页'),BottomNavigationBarItem(icon: Icon(Icons.category), label: '分类'),BottomNavigationBarItem(icon: Icon(Icons.camera), label: '试衣间'),BottomNavigationBarItem(icon: Icon(Icons.person), label: '我的'),],currentIndex: _selectedIndex,onTap: (index) => setState(() => _selectedIndex = index),),);}
}

4. 将代码导出为APP的步骤：

1. 后端部署：

# 在服务器上
cd backend
pip install -r requirements.txt
python run.py

2. 前端打包Android APK：

cd frontend
flutter build apk --release

3. 前端打包iOS IPA：

cd frontend
flutter build ios --release

要生成完整可用的APP，还需要：

1. 配置服务器环境

# 安装必要的系统依赖
sudo apt-get update
sudo apt-get install python3-pip python3-dev nginx

2. 设置nginx配置：

server {listen 80;server_name your_domain.com;location / {proxy_pass http://127.0.0.1:5000;proxy_set_header Host $host;proxy_set_header X-Real-IP $remote_addr;}
}

3. 使用gunicorn运行Flask应用：

pip install gunicorn
gunicorn -w 4 -b 127.0.0.1:5000 run:app

本案例还需要注意补充以下功能模块和注意事项：

1. 需要配置真实的数据库连接
2. 需要实现完整的用户认证系统
3. 需要添加适当的错误处理
4. 需要实现数据缓存机制
5. 需要添加日志系统
6. 需要实现完整的支付系统
7. 需要添加商品管理后台
8. 需要实现图片上传和存储功能