1375 行
40 KiB
Markdown
1375 行
40 KiB
Markdown
# 🚀 大型电商平台重构工作流
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## ThinkPHP 3.x → FastAPI + Ant Design Pro Vue + MySQL 8.0
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---
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## 📋 项目概览
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### 当前系统分析
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- **技术栈**: ThinkPHP 3.x + MySQL 5.7 + PHP 模板
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- **规模**: 180+ 数据库表，10+ 业务模块，复杂订单系统
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- **核心业务**: 电商订单管理、骑手配送、支付处理、会员系统、门店管理
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- **复杂度**: 多租户架构、实时定位、多种支付方式、复杂订单状态机
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### 目标架构
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- **后端**: FastAPI (Python 3.9+) + SQLAlchemy + Redis
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- **前端**: Ant Design Pro Vue (Vue 3 + TypeScript)
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- **数据库**: MySQL 8.0 优化版本
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- **架构**: 模块化单体 → 微服务演进
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- **基础设施**: Docker + Nginx + CI/CD
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---
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## 🎯 总体迁移策略
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### 核心原则
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1. **零停机迁移**: 渐进式迁移，新旧系统并行运行
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2. **数据完整性**: 金融级数据安全和一致性
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3. **功能对等**: 所有现有功能必须完整保留
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4. **渐进式实施**: 分阶段交付，降低风险
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5. **性能优先**: 新系统性能必须显著优于旧系统
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### 技术风险控制
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- **数据库双写**: 迁移期间确保数据同步
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- **API网关**: 新旧系统平滑切换
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- **监控告警**: 全链路性能监控
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- **回滚机制**: 快速回退到旧系统能力
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---
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## 📅 分阶段实施计划
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## 🏗️ 第一阶段：基础设施搭建 (1-3个月)
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### 1.1 环境准备与基础设施 (2周)
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```yaml
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目标: 搭建开发和部署环境
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关键交付:
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- Docker开发环境
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- CI/CD流水线
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- 数据库环境(新旧并行)
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- 监控和日志系统
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```
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**具体任务清单:**
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- [ ] 设置Docker开发环境 (dev/staging/prod)
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- [ ] 配置GitLab CI/CD流水线
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- [ ] 搭建MySQL 8.0集群并配置主从复制
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- [ ] 设置Redis集群用于缓存和会话
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- [ ] 配置ELK日志收集和监控系统
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- [ ] 建立数据库双写同步机制
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### 1.2 数据库迁移设计与实施 (3周)
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```yaml
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目标: 设计优化数据库结构并制定迁移策略
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关键交付:
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- 优化的MySQL 8.0数据库结构
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- 数据迁移脚本和验证程序
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- 双写同步机制
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- 回滚方案
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```
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**核心表结构重新设计:**
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```sql
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-- 订单表优化设计
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CREATE TABLE `orders` (
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`id` BIGINT PRIMARY KEY AUTO_INCREMENT,
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`order_no` VARCHAR(32) UNIQUE NOT NULL,
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`merchant_id` BIGINT NOT NULL,
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`store_id` BIGINT NOT NULL,
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`customer_id` BIGINT,
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`rider_id` BIGINT,
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`order_type` TINYINT DEFAULT 1,
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`status` TINYINT NOT NULL DEFAULT 0,
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`payment_status` TINYINT NOT NULL DEFAULT 0,
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`original_amount` DECIMAL(12,2) NOT NULL,
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`discount_amount` DECIMAL(12,2) DEFAULT 0.00,
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`delivery_fee` DECIMAL(8,2) DEFAULT 0.00,
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`final_amount` DECIMAL(12,2) NOT NULL,
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`payment_method` TINYINT,
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`payment_details` JSON,
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`delivery_address` JSON,
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`items` JSON NOT NULL,
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`created_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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`updated_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
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`completed_at` TIMESTAMP NULL,
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INDEX idx_merchant_store (merchant_id, store_id),
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INDEX idx_customer (customer_id),
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INDEX idx_rider (rider_id),
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INDEX idx_status_created (status, created_at),
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INDEX idx_order_no (order_no)
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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-- 骑手表优化设计
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CREATE TABLE `riders` (
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`id` BIGINT PRIMARY KEY AUTO_INCREMENT,
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`merchant_id` BIGINT NOT NULL,
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`store_id` BIGINT NOT NULL,
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`name` VARCHAR(50) NOT NULL,
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`phone` VARCHAR(20) NOT NULL,
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`avatar_url` VARCHAR(255),
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`id_card` VARCHAR(18) UNIQUE,
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`id_card_front` VARCHAR(255),
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`id_card_back` VARCHAR(255),
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`health_cert` VARCHAR(255),
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`health_cert_expire` DATE,
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`work_status` TINYINT DEFAULT 0 COMMENT '0离线 1在线 2忙碌',
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`auth_status` TINYINT DEFAULT 0 COMMENT '0未认证 1认证中 2已认证 3认证失败',
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`current_location` POINT,
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`location_updated_at` TIMESTAMP NULL,
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`balance` DECIMAL(10,2) DEFAULT 0.00,
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`frozen_balance` DECIMAL(10,2) DEFAULT 0.00,
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`total_orders` INT DEFAULT 0,
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`completed_orders` INT DEFAULT 0,
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`rating` DECIMAL(3,2) DEFAULT 5.00,
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`on_time_rate` DECIMAL(5,2) DEFAULT 100.00,
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`created_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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`updated_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
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`last_login_at` TIMESTAMP NULL,
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INDEX idx_merchant_store (merchant_id, store_id),
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INDEX idx_phone (phone),
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INDEX idx_work_status (work_status),
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INDEX idx_location (current_location),
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INDEX idx_rating (rating DESC)
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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```
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**数据迁移策略:**
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- **双写阶段**: 新旧系统同时写入，确保数据一致性
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- **验证阶段**: 定期对比新旧数据库数据差异
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- **切换阶段**: 逐步切换读操作到新数据库
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- **清理阶段**: 确认无误后清理旧数据库
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### 1.3 FastAPI项目架构设计 (2周)
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```python
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# 项目结构
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project_structure = """
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fastapi_ecommerce/
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├── app/
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│ ├── core/
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│ │ ├── config.py # 配置管理
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│ │ ├── security.py # 安全认证
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│ │ ├── database.py # 数据库连接
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│ │ └── middleware.py # 中间件
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│ ├── schemas/ # Pydantic数据模型
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│ │ ├── order.py
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│ │ ├── rider.py
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│ │ ├── store.py
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│ │ └── user.py
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│ ├── services/ # 业务逻辑层
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│ │ ├── order_service.py
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│ │ ├── payment_service.py
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│ │ ├── rider_service.py
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│ │ └── notification_service.py
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│ ├── api/ # API路由
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│ │ ├── v1/
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│ │ │ ├── orders.py
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│ │ │ ├── riders.py
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│ │ │ ├── stores.py
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│ │ │ └── payments.py
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│ │ └── dependencies.py # 依赖注入
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│ ├── models/ # SQLAlchemy模型
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│ │ ├── base.py
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│ │ ├── order.py
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│ │ ├── rider.py
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│ │ └── store.py
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│ ├── utils/ # 工具函数
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│ └── tests/ # 测试文件
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├── migrations/ # 数据库迁移文件
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├── scripts/ # 脚本文件
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└── requirements.txt
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"""
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# 核心配置示例
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from pydantic import BaseSettings
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class Settings(BaseSettings):
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# 数据库配置
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DATABASE_URL: str = "mysql+asyncmy://user:pass@localhost/db"
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# Redis配置
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REDIS_URL: str = "redis://localhost:6379"
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# JWT配置
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SECRET_KEY: str = "your-secret-key"
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ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
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# 支付配置
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WECHAT_APP_ID: str
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WECHAT_MCH_ID: str
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ALIPAY_APP_ID: str
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class Config:
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env_file = ".env"
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```
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### 1.4 身份认证与权限系统 (1周)
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```python
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# JWT + RBAC权限控制
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from fastapi import Depends, HTTPException
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from fastapi.security import HTTPBearer
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import jwt
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class AuthService:
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def create_access_token(self, data: dict):
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to_encode = data.copy()
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expire = datetime.utcnow() + timedelta(minutes=30)
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to_encode.update({"exp": expire})
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encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
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return encoded_jwt
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def verify_token(self, token: str):
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try:
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payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
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user_id: str = payload.get("sub")
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if user_id is None:
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raise HTTPException(status_code=401, detail="Invalid token")
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return user_id
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except jwt.PyJWTError:
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raise HTTPException(status_code=401, detail="Invalid token")
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# 权限装饰器
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def require_permission(permission: str):
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def decorator(func):
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async def wrapper(*args, **kwargs):
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user = kwargs.get('current_user')
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if not user.has_permission(permission):
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raise HTTPException(status_code=403, detail="Permission denied")
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return await func(*args, **kwargs)
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return wrapper
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return decorator
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```
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---
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## 🛒 第二阶段：核心业务系统迁移 (4-6个月)
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### 2.1 订单管理系统重构 (4周)
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```yaml
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目标: 迁移核心订单管理功能
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关键交付:
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- 订单CRUD操作
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- 订单状态机
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- 订单支付流程
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- 订单退款流程
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- 订单查询和统计
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```
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**订单状态机设计:**
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```python
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from enum import Enum
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from typing import Dict, List
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class OrderStatus(str, Enum):
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PENDING = "pending" # 待支付
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PAID = "paid" # 已支付
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PREPARING = "preparing" # 准备中
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READY = "ready" # 待配送
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PICKING = "picking" # 配送中
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DELIVERED = "delivered" # 已送达
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COMPLETED = "completed" # 已完成
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CANCELLED = "cancelled" # 已取消
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REFUNDED = "refunded" # 已退款
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class OrderStateMachine:
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transitions = {
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OrderStatus.PENDING: [OrderStatus.PAID, OrderStatus.CANCELLED],
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OrderStatus.PAID: [OrderStatus.PREPARING, OrderStatus.REFUNDED],
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OrderStatus.PREPARING: [OrderStatus.READY, OrderStatus.CANCELLED],
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OrderStatus.READY: [OrderStatus.PICKING],
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OrderStatus.PICKING: [OrderStatus.DELIVERED, OrderStatus.READY],
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OrderStatus.DELIVERED: [OrderStatus.COMPLETED],
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OrderStatus.COMPLETED: [OrderStatus.REFUNDED],
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OrderStatus.CANCELLED: [],
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OrderStatus.REFUNDED: []
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}
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def can_transition(self, from_status: OrderStatus, to_status: OrderStatus) -> bool:
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return to_status in self.transitions.get(from_status, [])
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def transition(self, current_status: OrderStatus, new_status: OrderStatus) -> bool:
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if self.can_transition(current_status, new_status):
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# 记录状态变更日志
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# 触发相关业务逻辑
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return True
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return False
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```
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**API设计:**
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```python
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from fastapi import APIRouter, Depends, HTTPException
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from app.schemas.order import OrderCreate, OrderResponse, OrderUpdate
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from app.services.order_service import OrderService
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router = APIRouter(prefix="/api/v1/orders", tags=["orders"])
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@router.post("/", response_model=OrderResponse)
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async def create_order(
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order_data: OrderCreate,
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current_user: User = Depends(get_current_user),
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order_service: OrderService = Depends()
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):
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"""创建新订单"""
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return await order_service.create_order(order_data, current_user.id)
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@router.get("/{order_id}", response_model=OrderResponse)
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async def get_order(
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order_id: int,
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current_user: User = Depends(get_current_user)
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):
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"""获取订单详情"""
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order = await order_service.get_order_by_id(order_id)
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if not order or order.user_id != current_user.id:
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raise HTTPException(status_code=404, detail="Order not found")
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return order
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@router.patch("/{order_id}/status")
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async def update_order_status(
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order_id: int,
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status_data: OrderUpdate,
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current_user: User = Depends(get_current_user)
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):
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"""更新订单状态"""
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return await order_service.update_order_status(
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order_id, status_data.status, current_user.id
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)
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```
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### 2.2 支付系统现代化 (3周)
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```yaml
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目标: 重构支付系统，支持多种支付方式
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关键交付:
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- 微信支付集成
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- 支付宝支付集成
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- 组合支付支持
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- 退款处理
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- 支付回调处理
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```
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**支付系统架构:**
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```python
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from abc import ABC, abstractmethod
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from typing import Optional, Dict, Any
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class PaymentProvider(ABC):
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@abstractmethod
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async def create_payment(self, order_data: Dict[str, Any]) -> Dict[str, Any]:
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pass
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@abstractmethod
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async def verify_payment(self, payment_data: Dict[str, Any]) -> bool:
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pass
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@abstractmethod
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async def refund_payment(self, payment_id: str, amount: float) -> Dict[str, Any]:
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pass
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class WechatPayProvider(PaymentProvider):
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def __init__(self, app_id: str, mch_id: str, api_key: str):
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self.app_id = app_id
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self.mch_id = mch_id
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self.api_key = api_key
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async def create_payment(self, order_data: Dict[str, Any]) -> Dict[str, Any]:
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# 微信支付统一下单接口
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# 返回支付参数供客户端调用
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pass
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async def verify_payment(self, payment_data: Dict[str, Any]) -> bool:
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# 验证微信支付回调
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pass
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class AlipayProvider(PaymentProvider):
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def __init__(self, app_id: str, private_key: str, public_key: str):
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self.app_id = app_id
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self.private_key = private_key
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self.public_key = public_key
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async def create_payment(self, order_data: Dict[str, Any]) -> Dict[str, Any]:
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# 支付宝支付接口
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pass
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async def verify_payment(self, payment_data: Dict[str, Any]) -> bool:
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# 验证支付宝回调
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pass
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class PaymentService:
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def __init__(self):
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self.providers = {
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"wechat": WechatPayProvider(),
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"alipay": AlipayProvider(),
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"cash": CashPaymentProvider(),
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"balance": BalancePaymentProvider()
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}
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async def process_payment(self, order_id: int, payment_method: str, amount: float):
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provider = self.providers.get(payment_method)
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if not provider:
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raise ValueError(f"Unsupported payment method: {payment_method}")
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return await provider.create_payment({
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"order_id": order_id,
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"amount": amount
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})
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```
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### 2.3 门店管理系统迁移 (2周)
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```python
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# 门店配置管理
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from app.schemas.store import StoreConfig, StoreCreate, StoreUpdate
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@router.get("/stores/{store_id}/config")
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async def get_store_config(store_id: int):
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"""获取门店配置"""
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config = await store_service.get_config(store_id)
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return config
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@router.put("/stores/{store_id}/config")
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async def update_store_config(
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store_id: int,
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config: StoreConfig,
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current_user: User = Depends(get_current_merchant_user)
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):
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"""更新门店配置"""
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return await store_service.update_config(store_id, config)
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@router.get("/stores/{store_id}/inventory")
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async def get_store_inventory(store_id: int):
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"""获取门店库存"""
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return await store_service.get_inventory(store_id)
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@router.post("/stores/{store_id}/delivery-areas")
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async def update_delivery_areas(
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store_id: int,
|
|
areas: List[DeliveryArea],
|
|
current_user: User = Depends(get_current_merchant_user)
|
|
):
|
|
"""更新门店配送范围"""
|
|
return await store_service.update_delivery_areas(store_id, areas)
|
|
```
|
|
|
|
---
|
|
|
|
## 🏍️ 第三阶段：高级功能实现 (7-9个月)
|
|
|
|
### 3.1 骑手管理与实时定位系统 (4周)
|
|
```yaml
|
|
目标: 实现骑手管理和实时定位追踪
|
|
关键交付:
|
|
- 骑手注册认证
|
|
- 实时位置上传
|
|
- 订单智能分配
|
|
- 配送路径优化
|
|
- 绩效统计系统
|
|
```
|
|
|
|
**实时定位系统:**
|
|
```python
|
|
from fastapi import WebSocket, WebSocketDisconnect
|
|
from typing import List, Dict
|
|
import asyncio
|
|
import json
|
|
|
|
class LocationManager:
|
|
def __init__(self):
|
|
self.active_connections: Dict[int, WebSocket] = {}
|
|
self.rider_locations: Dict[int, Dict] = {}
|
|
|
|
async def connect_rider(self, websocket: WebSocket, rider_id: int):
|
|
await websocket.accept()
|
|
self.active_connections[rider_id] = websocket
|
|
|
|
async def disconnect_rider(self, rider_id: int):
|
|
if rider_id in self.active_connections:
|
|
del self.active_connections[rider_id]
|
|
if rider_id in self.rider_locations:
|
|
del self.rider_locations[rider_id]
|
|
|
|
async def update_location(self, rider_id: int, location: Dict):
|
|
self.rider_locations[rider_id] = {
|
|
**location,
|
|
'updated_at': datetime.utcnow()
|
|
}
|
|
|
|
# 广播给相关订单用户
|
|
await self.broadcast_location_update(rider_id, location)
|
|
|
|
async def get_nearby_riders(self, lat: float, lng: float, radius: float = 5.0):
|
|
"""获取附近骑手"""
|
|
nearby_riders = []
|
|
for rider_id, location_data in self.rider_locations.items():
|
|
rider_lat = location_data['latitude']
|
|
rider_lng = location_data['longitude']
|
|
|
|
distance = self.calculate_distance(lat, lng, rider_lat, rider_lng)
|
|
if distance <= radius:
|
|
nearby_riders.append({
|
|
'rider_id': rider_id,
|
|
'distance': distance,
|
|
'location': location_data
|
|
})
|
|
|
|
return sorted(nearby_riders, key=lambda x: x['distance'])
|
|
|
|
def calculate_distance(self, lat1: float, lng1: float, lat2: float, lng2: float) -> float:
|
|
"""计算两点间距离（公里）"""
|
|
from math import radians, cos, sin, asin, sqrt
|
|
|
|
# 转换为弧度
|
|
lat1, lng1, lat2, lng2 = map(radians, [lat1, lng1, lat2, lng2])
|
|
|
|
# haversine公式
|
|
dlat = lat2 - lat1
|
|
dlng = lng2 - lng1
|
|
a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlng/2)**2
|
|
c = 2 * asin(sqrt(a))
|
|
r = 6371 # 地球半径（公里）
|
|
|
|
return c * r
|
|
|
|
# WebSocket定位上传
|
|
@router.websocket("/ws/rider/{rider_id}/location")
|
|
async def location_websocket(websocket: WebSocket, rider_id: int):
|
|
await location_manager.connect_rider(websocket, rider_id)
|
|
try:
|
|
while True:
|
|
data = await websocket.receive_text()
|
|
location_data = json.loads(data)
|
|
|
|
# 验证位置数据格式
|
|
if 'latitude' in location_data and 'longitude' in location_data:
|
|
await location_manager.update_location(rider_id, location_data)
|
|
|
|
except WebSocketDisconnect:
|
|
await location_manager.disconnect_rider(rider_id)
|
|
```
|
|
|
|
**智能订单分配算法:**
|
|
```python
|
|
from typing import List, Tuple
|
|
import asyncio
|
|
|
|
class OrderDispatcher:
|
|
def __init__(self, location_manager: LocationManager):
|
|
self.location_manager = location_manager
|
|
|
|
async def dispatch_order(self, order_id: int, store_location: Dict) -> Optional[int]:
|
|
"""智能分配订单给骑手"""
|
|
# 获取订单详情
|
|
order = await self.get_order(order_id)
|
|
if not order:
|
|
return None
|
|
|
|
# 获取附近骑手
|
|
nearby_riders = await self.location_manager.get_nearby_riders(
|
|
store_location['latitude'],
|
|
store_location['longitude'],
|
|
radius=10.0
|
|
)
|
|
|
|
# 筛选可用骑手
|
|
available_riders = await self.filter_available_riders(nearby_riders)
|
|
|
|
if not available_riders:
|
|
return None
|
|
|
|
# 综合评分算法
|
|
best_rider = await self.select_best_rider(available_riders, order)
|
|
|
|
if best_rider:
|
|
# 分配订单
|
|
await self.assign_order_to_rider(order_id, best_rider['rider_id'])
|
|
return best_rider['rider_id']
|
|
|
|
return None
|
|
|
|
async def filter_available_riders(self, riders: List[Dict]) -> List[Dict]:
|
|
"""筛选可用骑手"""
|
|
available_riders = []
|
|
for rider in riders:
|
|
# 检查骑手工作状态
|
|
if rider['work_status'] != 1: # 1为在线
|
|
continue
|
|
|
|
# 检查当前订单数量
|
|
if rider['current_orders'] >= 3: # 最多同时接3单
|
|
continue
|
|
|
|
# 检查评分
|
|
if rider['rating'] < 4.0: # 评分低于4.0不分配
|
|
continue
|
|
|
|
available_riders.append(rider)
|
|
|
|
return available_riders
|
|
|
|
async def select_best_rider(self, riders: List[Dict], order: Dict) -> Optional[Dict]:
|
|
"""选择最佳骑手"""
|
|
if not riders:
|
|
return None
|
|
|
|
def calculate_score(rider: Dict) -> float:
|
|
distance_score = 10 / (rider['distance'] + 0.1) # 距离越近分数越高
|
|
rating_score = rider['rating'] * 2 # 评分权重
|
|
orders_score = rider['completed_orders'] * 0.01 # 经验权重
|
|
on_time_score = rider['on_time_rate'] * 0.1 # 准时率权重
|
|
|
|
return distance_score + rating_score + orders_score + on_time_score
|
|
|
|
# 计算每个骑手的综合评分
|
|
scored_riders = []
|
|
for rider in riders:
|
|
score = calculate_score(rider)
|
|
scored_riders.append({**rider, 'dispatch_score': score})
|
|
|
|
# 返回评分最高的骑手
|
|
return max(scored_riders, key=lambda x: x['dispatch_score'])
|
|
```
|
|
|
|
### 3.2 配送系统与路径优化 (3周)
|
|
```python
|
|
from typing import List, Tuple
|
|
import asyncio
|
|
import requests
|
|
|
|
class DeliveryService:
|
|
def __init__(self):
|
|
self.map_service = MapService() # 地图服务（高德/百度）
|
|
|
|
async def plan_delivery_route(self, orders: List[Dict], start_location: Dict) -> Dict:
|
|
"""规划最优配送路径"""
|
|
if not orders:
|
|
return {"route": [], "total_distance": 0, "estimated_time": 0}
|
|
|
|
# 构建途经点
|
|
waypoints = [
|
|
(order['delivery_address']['latitude'], order['delivery_address']['longitude'])
|
|
for order in orders
|
|
]
|
|
|
|
# 调用地图API规划路径
|
|
route_result = await self.map_service.get_optimal_route(
|
|
start=(start_location['latitude'], start_location['longitude']),
|
|
waypoints=waypoints
|
|
)
|
|
|
|
return {
|
|
"route": route_result['route'],
|
|
"total_distance": route_result['distance'],
|
|
"estimated_time": route_result['duration'],
|
|
"orders_sequence": self.optimize_order_sequence(orders, route_result['route'])
|
|
}
|
|
|
|
def optimize_order_sequence(self, orders: List[Dict], route: List[Dict]) -> List[int]:
|
|
"""根据路径优化订单配送顺序"""
|
|
# 简单实现：按照路径顺序排列订单
|
|
# 实际可考虑更多因素：配送时间窗口、优先级等
|
|
order_sequence = []
|
|
for point in route[1:]: # 排除起点
|
|
# 找到最近的订单
|
|
nearest_order = min(
|
|
orders,
|
|
key=lambda o: self.calculate_distance(
|
|
point['latitude'], point['longitude'],
|
|
o['delivery_address']['latitude'],
|
|
o['delivery_address']['longitude']
|
|
)
|
|
)
|
|
if nearest_order not in order_sequence:
|
|
order_sequence.append(nearest_order)
|
|
|
|
return [order['id'] for order in order_sequence]
|
|
|
|
async def update_delivery_status(self, order_id: int, status: str, location: Dict = None):
|
|
"""更新配送状态"""
|
|
# 更新订单状态
|
|
await self.order_service.update_status(order_id, status)
|
|
|
|
# 更新骑手位置
|
|
if location:
|
|
await self.location_manager.update_location(
|
|
self.get_rider_id_by_order(order_id),
|
|
location
|
|
)
|
|
|
|
# 发送通知给用户
|
|
if status in ['picking', 'delivering', 'delivered']:
|
|
await self.notification_service.send_delivery_update(
|
|
order_id, status
|
|
)
|
|
|
|
class MapService:
|
|
def __init__(self):
|
|
self.api_key = "your_map_api_key"
|
|
self.base_url = "https://restapi.amap.com/v3"
|
|
|
|
async def get_optimal_route(self, start: Tuple[float, float], waypoints: List[Tuple[float, float]]) -> Dict:
|
|
"""调用高德地图API获取最优路径"""
|
|
url = f"{self.base_url}/direction/driving"
|
|
|
|
params = {
|
|
'key': self.api_key,
|
|
'origin': f"{start[1]},{start[0]}", # 经度,纬度
|
|
'destination': f"{waypoints[-1][1]},{waypoints[-1][0]}",
|
|
'waypoints': ';'.join([f"{wp[1]},{wp[0]}" for wp in waypoints[:-1]]),
|
|
'strategy': 1, # 距离优先策略
|
|
}
|
|
|
|
async with aiohttp.ClientSession() as session:
|
|
async with session.get(url, params=params) as response:
|
|
data = await response.json()
|
|
|
|
if data.get('status') == '1' and data.get('count') != '0':
|
|
route = data['route']['paths'][0]
|
|
return {
|
|
'distance': int(route['distance']) / 1000, # 转换为公里
|
|
'duration': int(route['duration']) // 60, # 转换为分钟
|
|
'route': self.parse_route_steps(route['steps'])
|
|
}
|
|
else:
|
|
raise Exception("Failed to get route from map API")
|
|
|
|
def parse_route_steps(self, steps: List[Dict]) -> List[Dict]:
|
|
"""解析路径步骤"""
|
|
route = []
|
|
for step in steps:
|
|
instruction = step['instruction']
|
|
distance = int(step['distance']) / 1000 # 转换为公里
|
|
duration = int(step['duration']) // 60 # 转换为分钟
|
|
|
|
# 解析坐标点
|
|
polyline = step['polyline']
|
|
points = self.decode_polyline(polyline)
|
|
|
|
route.append({
|
|
'instruction': instruction,
|
|
'distance': distance,
|
|
'duration': duration,
|
|
'coordinates': points
|
|
})
|
|
|
|
return route
|
|
```
|
|
|
|
---
|
|
|
|
## 💎 第四阶段：系统优化与完善 (10-12个月)
|
|
|
|
### 4.1 性能优化与监控 (3周)
|
|
```yaml
|
|
目标: 全面优化系统性能和建立监控体系
|
|
关键交付:
|
|
- 数据库查询优化
|
|
- Redis缓存策略
|
|
- API响应时间优化
|
|
- 全链路监控
|
|
- 压力测试与调优
|
|
```
|
|
|
|
**缓存策略设计:**
|
|
```python
|
|
from functools import wraps
|
|
from typing import Any, Optional
|
|
import redis
|
|
import json
|
|
import hashlib
|
|
|
|
class CacheManager:
|
|
def __init__(self, redis_client: redis.Redis):
|
|
self.redis = redis_client
|
|
self.default_ttl = 3600 # 1小时
|
|
|
|
def cache(self, key_prefix: str, ttl: int = None):
|
|
"""缓存装饰器"""
|
|
def decorator(func):
|
|
@wraps(func)
|
|
async def wrapper(*args, **kwargs):
|
|
# 生成缓存键
|
|
cache_key = self.generate_cache_key(key_prefix, *args, **kwargs)
|
|
|
|
# 尝试从缓存获取
|
|
cached_result = await self.get(cache_key)
|
|
if cached_result is not None:
|
|
return cached_result
|
|
|
|
# 执行原函数
|
|
result = await func(*args, **kwargs)
|
|
|
|
# 存储到缓存
|
|
await self.set(cache_key, result, ttl or self.default_ttl)
|
|
|
|
return result
|
|
return wrapper
|
|
return decorator
|
|
|
|
def generate_cache_key(self, prefix: str, *args, **kwargs) -> str:
|
|
"""生成缓存键"""
|
|
key_data = {
|
|
'args': args,
|
|
'kwargs': sorted(kwargs.items())
|
|
}
|
|
key_hash = hashlib.md5(json.dumps(key_data, sort_keys=True).encode()).hexdigest()
|
|
return f"{prefix}:{key_hash}"
|
|
|
|
async def get(self, key: str) -> Optional[Any]:
|
|
"""获取缓存"""
|
|
try:
|
|
data = await self.redis.get(key)
|
|
if data:
|
|
return json.loads(data)
|
|
except Exception as e:
|
|
print(f"Cache get error: {e}")
|
|
return None
|
|
|
|
async def set(self, key: str, value: Any, ttl: int) -> bool:
|
|
"""设置缓存"""
|
|
try:
|
|
data = json.dumps(value, default=str)
|
|
await self.redis.setex(key, ttl, data)
|
|
return True
|
|
except Exception as e:
|
|
print(f"Cache set error: {e}")
|
|
return False
|
|
|
|
# 使用示例
|
|
cache_manager = CacheManager(redis_client)
|
|
|
|
@cache_manager.cache("order_details", ttl=1800) # 30分钟
|
|
async def get_order_details(order_id: int):
|
|
"""获取订单详情（带缓存）"""
|
|
order = await order_repository.get_by_id(order_id)
|
|
if order:
|
|
# 加载关联数据
|
|
order.items = await order_item_repository.get_by_order_id(order_id)
|
|
order.payments = await payment_repository.get_by_order_id(order_id)
|
|
return order
|
|
|
|
@cache_manager.cache("rider_stats", ttl=300) # 5分钟
|
|
async def get_rider_statistics(rider_id: int, date_range: str):
|
|
"""获取骑手统计数据（带缓存）"""
|
|
return await rider_repository.get_statistics(rider_id, date_range)
|
|
```
|
|
|
|
**性能监控:**
|
|
```python
|
|
from prometheus_client import Counter, Histogram, Gauge
|
|
import time
|
|
from functools import wraps
|
|
|
|
# Prometheus指标
|
|
REQUEST_COUNT = Counter('http_requests_total', 'Total HTTP requests', ['method', 'endpoint', 'status'])
|
|
REQUEST_DURATION = Histogram('http_request_duration_seconds', 'HTTP request duration')
|
|
ACTIVE_CONNECTIONS = Gauge('active_connections', 'Active connections')
|
|
|
|
def monitor_requests(func):
|
|
"""请求监控装饰器"""
|
|
@wraps(func)
|
|
async def wrapper(*args, **kwargs):
|
|
start_time = time.time()
|
|
|
|
try:
|
|
result = await func(*args, **kwargs)
|
|
status = 'success'
|
|
return result
|
|
except Exception as e:
|
|
status = 'error'
|
|
raise
|
|
finally:
|
|
duration = time.time() - start_time
|
|
REQUEST_DURATION.observe(duration)
|
|
REQUEST_COUNT.labels(
|
|
method=kwargs.get('method', 'unknown'),
|
|
endpoint=kwargs.get('endpoint', func.__name__),
|
|
status=status
|
|
).inc()
|
|
|
|
return wrapper
|
|
|
|
# 中间件监控
|
|
@app.middleware("http")
|
|
async def monitoring_middleware(request: Request, call_next):
|
|
start_time = time.time()
|
|
|
|
# 增加活跃连接数
|
|
ACTIVE_CONNECTIONS.inc()
|
|
|
|
try:
|
|
response = await call_next(request)
|
|
|
|
# 记录请求指标
|
|
duration = time.time() - start_time
|
|
REQUEST_DURATION.observe(duration)
|
|
REQUEST_COUNT.labels(
|
|
method=request.method,
|
|
endpoint=request.url.path,
|
|
status='success'
|
|
).inc()
|
|
|
|
# 添加响应头
|
|
response.headers["X-Process-Time"] = str(duration)
|
|
|
|
return response
|
|
|
|
except Exception as e:
|
|
REQUEST_COUNT.labels(
|
|
method=request.method,
|
|
endpoint=request.url.path,
|
|
status='error'
|
|
).inc()
|
|
raise
|
|
finally:
|
|
# 减少活跃连接数
|
|
ACTIVE_CONNECTIONS.dec()
|
|
```
|
|
|
|
### 4.2 Ant Design Pro Vue前端开发 (6-8周)
|
|
|
|
**前端项目结构:**
|
|
```
|
|
frontend/
|
|
├── src/
|
|
│ ├── components/ # 通用组件
|
|
│ │ ├── ProTable/
|
|
│ │ ├── ProForm/
|
|
│ │ └── Charts/
|
|
│ ├── pages/ # 页面组件
|
|
│ │ ├── order/
|
|
│ │ │ ├── list.vue
|
|
│ │ │ ├── detail.vue
|
|
│ │ │ └── create.vue
|
|
│ │ ├── rider/
|
|
│ │ ├── store/
|
|
│ │ └── dashboard/
|
|
│ ├── services/ # API服务
|
|
│ │ ├── order.ts
|
|
│ │ ├── rider.ts
|
|
│ │ └── user.ts
|
|
│ ├── stores/ # Pinia状态管理
|
|
│ │ ├── order.ts
|
|
│ │ ├── user.ts
|
|
│ │ └── app.ts
|
|
│ ├── utils/ # 工具函数
|
|
│ ├── types/ # TypeScript类型定义
|
|
│ └── layouts/ # 布局组件
|
|
├── public/
|
|
├── package.json
|
|
└── vite.config.ts
|
|
```
|
|
|
|
**核心页面组件示例:**
|
|
```vue
|
|
<!-- 订单列表页面 -->
|
|
<template>
|
|
<div class="order-list-page">
|
|
<ProTable
|
|
:columns="columns"
|
|
:request="loadOrders"
|
|
:rowSelection="rowSelection"
|
|
:search="searchConfig"
|
|
@action="handleAction"
|
|
>
|
|
<template #bodyCell="{ column, record }">
|
|
<template v-if="column.dataIndex === 'status'">
|
|
<a-tag :color="getStatusColor(record.status)">
|
|
{{ getStatusText(record.status) }}
|
|
</a-tag>
|
|
</template>
|
|
<template v-if="column.dataIndex === 'payment_status'">
|
|
<a-tag :color="getPaymentStatusColor(record.payment_status)">
|
|
{{ getPaymentStatusText(record.payment_status) }}
|
|
</a-tag>
|
|
</template>
|
|
<template v-if="column.dataIndex === 'action'">
|
|
<a-space>
|
|
<a-button type="link" @click="viewOrder(record.id)">查看</a-button>
|
|
<a-button
|
|
v-if="record.status === 'paid'"
|
|
type="link"
|
|
@click="startDelivery(record.id)"
|
|
>
|
|
开始配送
|
|
</a-button>
|
|
</a-space>
|
|
</template>
|
|
</template>
|
|
</ProTable>
|
|
</div>
|
|
</template>
|
|
|
|
<script lang="ts" setup>
|
|
import { ref, reactive } from 'vue'
|
|
import { message } from 'ant-design-vue'
|
|
import { ProTable } from '@ant-design/pro-components'
|
|
import { orderService } from '@/services/order'
|
|
import type { Order, OrderQueryParams } from '@/types/order'
|
|
|
|
// 表格列配置
|
|
const columns = [
|
|
{
|
|
title: '订单号',
|
|
dataIndex: 'order_no',
|
|
width: 180,
|
|
},
|
|
{
|
|
title: '客户',
|
|
dataIndex: ['customer', 'name'],
|
|
width: 120,
|
|
},
|
|
{
|
|
title: '订单金额',
|
|
dataIndex: 'final_amount',
|
|
width: 100,
|
|
render: (amount: number) => `¥${amount.toFixed(2)}`,
|
|
},
|
|
{
|
|
title: '订单状态',
|
|
dataIndex: 'status',
|
|
width: 100,
|
|
},
|
|
{
|
|
title: '支付状态',
|
|
dataIndex: 'payment_status',
|
|
width: 100,
|
|
},
|
|
{
|
|
title: '创建时间',
|
|
dataIndex: 'created_at',
|
|
width: 160,
|
|
},
|
|
{
|
|
title: '操作',
|
|
dataIndex: 'action',
|
|
fixed: 'right',
|
|
width: 150,
|
|
},
|
|
]
|
|
|
|
// 搜索配置
|
|
const searchConfig = {
|
|
labelWidth: 'auto',
|
|
optionRender: (searchConfig, formProps, dom) => [
|
|
...dom,
|
|
<a-button key="export" onClick={handleExport}>导出</a-button>,
|
|
],
|
|
}
|
|
|
|
// 加载订单数据
|
|
const loadOrders = async (params: OrderQueryParams) => {
|
|
try {
|
|
const response = await orderService.getOrderList(params)
|
|
return {
|
|
data: response.data.items,
|
|
success: true,
|
|
total: response.data.total,
|
|
}
|
|
} catch (error) {
|
|
message.error('加载订单列表失败')
|
|
return {
|
|
data: [],
|
|
success: false,
|
|
total: 0,
|
|
}
|
|
}
|
|
}
|
|
|
|
// 状态映射
|
|
const getStatusColor = (status: string) => {
|
|
const colorMap = {
|
|
pending: 'orange',
|
|
paid: 'blue',
|
|
preparing: 'cyan',
|
|
ready: 'purple',
|
|
picking: 'geekblue',
|
|
delivered: 'green',
|
|
completed: 'success',
|
|
cancelled: 'error',
|
|
refunded: 'default',
|
|
}
|
|
return colorMap[status] || 'default'
|
|
}
|
|
|
|
const getStatusText = (status: string) => {
|
|
const textMap = {
|
|
pending: '待支付',
|
|
paid: '已支付',
|
|
preparing: '准备中',
|
|
ready: '待配送',
|
|
picking: '配送中',
|
|
delivered: '已送达',
|
|
completed: '已完成',
|
|
cancelled: '已取消',
|
|
refunded: '已退款',
|
|
}
|
|
return textMap[status] || status
|
|
}
|
|
|
|
// 操作处理
|
|
const handleAction = async (action: string, record: Order) => {
|
|
switch (action) {
|
|
case 'view':
|
|
viewOrder(record.id)
|
|
break
|
|
case 'start_delivery':
|
|
await startDelivery(record.id)
|
|
break
|
|
default:
|
|
break
|
|
}
|
|
}
|
|
|
|
const viewOrder = (orderId: number) => {
|
|
// 跳转到订单详情页
|
|
router.push(`/order/detail/${orderId}`)
|
|
}
|
|
|
|
const startDelivery = async (orderId: number) => {
|
|
try {
|
|
await orderService.startDelivery(orderId)
|
|
message.success('开始配送成功')
|
|
// 刷新表格数据
|
|
ProTable.value?.reload()
|
|
} catch (error) {
|
|
message.error('开始配送失败')
|
|
}
|
|
}
|
|
</script>
|
|
```
|
|
|
|
---
|
|
|
|
## 🧪 测试策略与质量保证
|
|
|
|
### 测试框架设计
|
|
```python
|
|
# pytest配置
|
|
import pytest
|
|
import asyncio
|
|
from httpx import AsyncClient
|
|
from app.main import app
|
|
|
|
@pytest.fixture
|
|
async def client():
|
|
async with AsyncClient(app=app, base_url="http://test") as ac:
|
|
yield ac
|
|
|
|
@pytest.fixture
|
|
async def test_user_token():
|
|
# 创建测试用户并返回JWT token
|
|
user_data = {
|
|
"phone": "13800138000",
|
|
"password": "test123456"
|
|
}
|
|
# ...创建用户逻辑
|
|
return "test_jwt_token"
|
|
|
|
# 订单API测试
|
|
@pytest.mark.asyncio
|
|
async def test_create_order(client: AsyncClient, test_user_token: str):
|
|
order_data = {
|
|
"store_id": 1,
|
|
"items": [
|
|
{"goods_id": 1, "quantity": 2, "price": 12.50},
|
|
{"goods_id": 2, "quantity": 1, "price": 8.00}
|
|
],
|
|
"delivery_address": {
|
|
"address": "测试地址",
|
|
"latitude": 39.9042,
|
|
"longitude": 116.4074,
|
|
"contact_phone": "13800138000"
|
|
}
|
|
}
|
|
|
|
response = await client.post(
|
|
"/api/v1/orders",
|
|
json=order_data,
|
|
headers={"Authorization": f"Bearer {test_user_token}"}
|
|
)
|
|
|
|
assert response.status_code == 200
|
|
data = response.json()
|
|
assert data["status"] == 1
|
|
assert "order_id" in data["data"]
|
|
assert data["data"]["final_amount"] == 33.00
|
|
|
|
# 支付测试
|
|
@pytest.mark.asyncio
|
|
async def test_payment_process(client: AsyncClient, test_user_token: str):
|
|
# 首先创建订单
|
|
order_response = await test_create_order(client, test_user_token)
|
|
order_id = order_response.json()["data"]["order_id"]
|
|
|
|
# 测试支付
|
|
payment_data = {
|
|
"order_id": order_id,
|
|
"payment_method": "wechat",
|
|
"amount": 33.00
|
|
}
|
|
|
|
response = await client.post(
|
|
"/api/v1/payments",
|
|
json=payment_data,
|
|
headers={"Authorization": f"Bearer {test_user_token}"}
|
|
)
|
|
|
|
assert response.status_code == 200
|
|
data = response.json()
|
|
assert data["status"] == 1
|
|
assert "payment_params" in data["data"]
|
|
```
|
|
|
|
---
|
|
|
|
## 📊 性能指标与监控
|
|
|
|
### 关键性能指标
|
|
```yaml
|
|
系统性能目标:
|
|
API响应时间: < 200ms (P95)
|
|
数据库查询时间: < 100ms (P95)
|
|
系统可用性: > 99.9%
|
|
并发用户数: 10,000+
|
|
订单处理能力: 1,000 TPS
|
|
|
|
业务监控指标:
|
|
订单创建成功率: > 99.5%
|
|
支付成功率: > 98%
|
|
配送准时率: > 95%
|
|
骑手接单响应时间: < 30秒
|
|
```
|
|
|
|
---
|
|
|
|
## 🔧 部署与运维
|
|
|
|
### Docker容器化
|
|
```dockerfile
|
|
# FastAPI后端Dockerfile
|
|
FROM python:3.9-slim
|
|
|
|
WORKDIR /app
|
|
|
|
COPY requirements.txt .
|
|
RUN pip install --no-cache-dir -r requirements.txt
|
|
|
|
COPY . .
|
|
|
|
EXPOSE 8000
|
|
|
|
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
|
|
|
|
# Vue前端Dockerfile
|
|
FROM node:16-alpine as build
|
|
|
|
WORKDIR /app
|
|
|
|
COPY package*.json ./
|
|
RUN npm ci --only=production
|
|
|
|
COPY . .
|
|
RUN npm run build
|
|
|
|
FROM nginx:alpine
|
|
COPY --from=build /app/dist /usr/share/nginx/html
|
|
COPY nginx.conf /etc/nginx/nginx.conf
|
|
|
|
EXPOSE 80
|
|
```
|
|
|
|
### Docker Compose配置
|
|
```yaml
|
|
version: '3.8'
|
|
|
|
services:
|
|
app:
|
|
build: .
|
|
ports:
|
|
- "8000:8000"
|
|
environment:
|
|
- DATABASE_URL=mysql+asyncmy://user:password@db:3306/ecommerce
|
|
- REDIS_URL=redis://redis:6379
|
|
depends_on:
|
|
- db
|
|
- redis
|
|
volumes:
|
|
- ./logs:/app/logs
|
|
|
|
db:
|
|
image: mysql:8.0
|
|
environment:
|
|
MYSQL_ROOT_PASSWORD: rootpassword
|
|
MYSQL_DATABASE: ecommerce
|
|
MYSQL_USER: user
|
|
MYSQL_PASSWORD: password
|
|
volumes:
|
|
- mysql_data:/var/lib/mysql
|
|
- ./init.sql:/docker-entrypoint-initdb.d/init.sql
|
|
ports:
|
|
- "3306:3306"
|
|
|
|
redis:
|
|
image: redis:6-alpine
|
|
ports:
|
|
- "6379:6379"
|
|
volumes:
|
|
- redis_data:/data
|
|
|
|
nginx:
|
|
image: nginx:alpine
|
|
ports:
|
|
- "80:80"
|
|
- "443:443"
|
|
volumes:
|
|
- ./nginx.conf:/etc/nginx/nginx.conf
|
|
- ./ssl:/etc/nginx/ssl
|
|
depends_on:
|
|
- app
|
|
|
|
volumes:
|
|
mysql_data:
|
|
redis_data:
|
|
```
|
|
|
|
---
|
|
|
|
## ⚠️ 风险控制与应急预案
|
|
|
|
### 数据安全
|
|
- **数据加密**: 敏感数据AES加密存储
|
|
- **传输安全**: HTTPS/TLS 1.3加密
|
|
- **访问控制**: 细粒度权限管理
|
|
- **审计日志**: 全链路操作审计
|
|
|
|
### 系统稳定性
|
|
- **熔断机制**: 防止雪崩效应
|
|
- **限流控制**: API请求频率限制
|
|
- **降级策略**: 核心功能优先保证
|
|
- **备份方案**: 实时备份和快速恢复
|
|
|
|
### 迁移风险
|
|
- **灰度发布**: 逐步切换流量
|
|
- **监控告警**: 实时系统健康监控
|
|
- **回滚预案**: 快速回退到旧系统
|
|
- **数据校验**: 新旧系统数据一致性检查
|
|
|
|
---
|
|
|
|
## 📈 项目总结
|
|
|
|
### 预期收益
|
|
1. **性能提升**: API响应时间提升60%+，系统吞吐量提升300%+
|
|
2. **开发效率**: 现代化开发框架，代码质量和维护性大幅提升
|
|
3. **用户体验**: 实时功能、更好的UI交互、更快的页面加载
|
|
4. **运维效率**: 容器化部署、自动化运维、完善监控体系
|
|
5. **扩展性**: 微服务架构，支持业务快速迭代和横向扩展
|
|
|
|
### 技术债务清理
|
|
- ✅ 移除ThinkPHP 3.x过时框架
|
|
- ✅ 升级到现代化技术栈
|
|
- ✅ 重构复杂业务逻辑
|
|
- ✅ 建立完善测试体系
|
|
- ✅ 实施DevOps最佳实践
|
|
|
|
这个重构计划将彻底现代化电商平台的技术架构，为未来的业务发展奠定坚实基础。 |