206 lines
5.5 KiB
Bash
206 lines
5.5 KiB
Bash
#!/bin/bash
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# ===========================================
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# 农业股票数据分析系统启动脚本
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# ===========================================
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echo "🌾 农业股票数据分析系统启动中..."
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echo "=========================================="
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# 颜色定义
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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BLUE='\033[0;34m'
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NC='\033[0m' # No Color
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# 检查必要的软件
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check_requirements() {
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echo -e "${BLUE}📋 检查系统环境...${NC}"
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# 检查Java
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if ! command -v java &> /dev/null; then
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echo -e "${RED}❌ 未安装Java，请先安装JDK 8+${NC}"
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exit 1
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fi
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# 检查Maven
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if ! command -v mvn &> /dev/null; then
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echo -e "${RED}❌ 未安装Maven，请先安装Maven${NC}"
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exit 1
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fi
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# 检查Node.js
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if ! command -v node &> /dev/null; then
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echo -e "${RED}❌ 未安装Node.js，请先安装Node.js 16+${NC}"
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exit 1
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fi
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# 检查MySQL
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if ! command -v mysql &> /dev/null; then
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echo -e "${RED}❌ 未安装MySQL，请先安装MySQL 8.0+${NC}"
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exit 1
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fi
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echo -e "${GREEN}✅ 系统环境检查通过${NC}"
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}
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# 初始化数据库
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init_database() {
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echo -e "${BLUE}🗄️ 初始化数据库...${NC}"
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# 检查数据库连接
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mysql -u root -p -e "SELECT 1;" &> /dev/null
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if [ $? -ne 0 ]; then
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echo -e "${RED}❌ 无法连接到MySQL数据库${NC}"
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exit 1
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fi
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# 创建数据库和表结构
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echo -e "${YELLOW}📝 创建数据库表结构...${NC}"
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mysql -u root -p agricultural_stock < spark-processor/database_tables.sql
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echo -e "${GREEN}✅ 数据库初始化完成${NC}"
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}
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# 启动Spark数据处理器
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start_spark_processor() {
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echo -e "${BLUE}⚡ 启动Spark数据处理器...${NC}"
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cd spark-processor
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# 编译项目
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echo -e "${YELLOW}🔨 编译Spark项目...${NC}"
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mvn clean compile > /dev/null 2>&1
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if [ $? -ne 0 ]; then
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echo -e "${RED}❌ Spark项目编译失败${NC}"
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exit 1
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fi
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# 运行数据处理
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echo -e "${YELLOW}📊 执行数据分析...${NC}"
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mvn exec:java -Dexec.mainClass="com.agricultural.spark.StockDataProcessor" > ../logs/spark.log 2>&1 &
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SPARK_PID=$!
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cd ..
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echo -e "${GREEN}✅ Spark数据处理器已启动 (PID: $SPARK_PID)${NC}"
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}
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# 启动后端服务
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start_backend() {
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echo -e "${BLUE}🚀 启动后端服务...${NC}"
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cd backend
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# 编译项目
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echo -e "${YELLOW}🔨 编译后端项目...${NC}"
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mvn clean compile > /dev/null 2>&1
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if [ $? -ne 0 ]; then
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echo -e "${RED}❌ 后端项目编译失败${NC}"
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exit 1
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fi
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# 启动Spring Boot应用
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echo -e "${YELLOW}🌐 启动Spring Boot应用...${NC}"
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mvn spring-boot:run > ../logs/backend.log 2>&1 &
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BACKEND_PID=$!
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cd ..
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echo -e "${GREEN}✅ 后端服务已启动 (PID: $BACKEND_PID)${NC}"
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echo -e "${GREEN} API地址: http://localhost:8080${NC}"
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}
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# 启动前端服务
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start_frontend() {
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echo -e "${BLUE}🎨 启动前端服务...${NC}"
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cd frontend
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# 安装依赖
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if [ ! -d "node_modules" ]; then
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echo -e "${YELLOW}📦 安装前端依赖...${NC}"
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npm install > /dev/null 2>&1
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if [ $? -ne 0 ]; then
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echo -e "${RED}❌ 前端依赖安装失败${NC}"
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exit 1
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fi
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fi
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# 启动开发服务器
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echo -e "${YELLOW}🌐 启动Vue开发服务器...${NC}"
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npm run dev > ../logs/frontend.log 2>&1 &
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FRONTEND_PID=$!
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cd ..
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echo -e "${GREEN}✅ 前端服务已启动 (PID: $FRONTEND_PID)${NC}"
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echo -e "${GREEN} 访问地址: http://localhost:3000${NC}"
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}
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# 创建日志目录
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create_log_dir() {
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if [ ! -d "logs" ]; then
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mkdir -p logs
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fi
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}
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# 保存进程ID
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save_pids() {
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echo "$SPARK_PID" > logs/spark.pid
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echo "$BACKEND_PID" > logs/backend.pid
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echo "$FRONTEND_PID" > logs/frontend.pid
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echo -e "${BLUE}📝 进程ID已保存到logs目录${NC}"
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}
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# 显示系统状态
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show_status() {
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echo ""
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echo -e "${GREEN}🎉 农业股票数据分析系统启动完成！${NC}"
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echo "=========================================="
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echo -e "${BLUE}📊 Spark数据处理器:${NC} PID $SPARK_PID"
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echo -e "${BLUE}🚀 后端API服务:${NC} http://localhost:8080"
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echo -e "${BLUE}🎨 前端Web界面:${NC} http://localhost:3000"
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echo ""
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echo -e "${YELLOW}📋 系统功能:${NC}"
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echo " • 实时股票数据分析"
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echo " • 技术指标计算"
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echo " • 市场趋势预测"
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echo " • 数据可视化展示"
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echo ""
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echo -e "${YELLOW}📝 查看日志:${NC}"
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echo " • Spark日志: tail -f logs/spark.log"
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echo " • 后端日志: tail -f logs/backend.log"
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echo " • 前端日志: tail -f logs/frontend.log"
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echo ""
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echo -e "${YELLOW}🛑 停止系统:${NC}"
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echo " • 运行: ./stop-system.sh"
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echo "=========================================="
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}
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# 主函数
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main() {
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check_requirements
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create_log_dir
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init_database
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# 等待用户确认
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echo -e "${YELLOW}准备启动系统，按Enter继续...${NC}"
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read
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start_spark_processor
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sleep 5 # 等待Spark处理完成
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start_backend
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sleep 10 # 等待后端启动
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start_frontend
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sleep 5 # 等待前端启动
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save_pids
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show_status
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}
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# 错误处理
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trap 'echo -e "${RED}❌ 启动过程中发生错误，正在清理...${NC}"; kill $SPARK_PID $BACKEND_PID $FRONTEND_PID 2>/dev/null; exit 1' ERR
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# 执行主函数
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main |