nxxmdata/backend/create-simple-environment-schedule.js

const mysql = require('mysql2/promise');

// 数据库配置
const dbConfig = {
  host: process.env.DB_HOST || 'localhost',
  port: process.env.DB_PORT || 3306,
  user: process.env.DB_USER || 'root',
  password: process.env.DB_PASSWORD || '',
  database: process.env.DB_NAME || 'nxxmdata'
};

async function createEnvironmentScheduleTable() {
  let connection;
  
  try {
    // 创建数据库连接
    connection = await mysql.createConnection(dbConfig);
    console.log('数据库连接成功');

    // 创建环境监测时刻表
    const createTableSQL = `
      CREATE TABLE IF NOT EXISTS environment_schedules (
        id INT AUTO_INCREMENT PRIMARY KEY,
        farm_id INT NOT NULL COMMENT '农场ID',
        device_id INT NOT NULL COMMENT '设备ID',
        schedule_time TIME NOT NULL COMMENT '监测时刻（HH:MM:SS）',
        temperature DECIMAL(5,2) NULL COMMENT '温度值（摄氏度）',
        humidity DECIMAL(5,2) NULL COMMENT '湿度值（百分比）',
        monitoring_date DATE NOT NULL DEFAULT (CURRENT_DATE) COMMENT '监测日期',
        status ENUM('active', 'inactive', 'maintenance') DEFAULT 'active' COMMENT '监测状态',
        notes TEXT NULL COMMENT '备注信息',
        created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
        updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
        INDEX idx_farm_date_time (farm_id, monitoring_date, schedule_time),
        INDEX idx_device (device_id)
      ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='环境监测时刻表';
    `;

    await connection.execute(createTableSQL);
    console.log('环境监测时刻表创建成功');

    // 生成示例数据
    const schedules = [
      '06:00:00', '08:00:00', '10:00:00', '12:00:00', 
      '14:00:00', '16:00:00', '18:00:00', '20:00:00'
    ];

    const insertSQL = `
      INSERT INTO environment_schedules 
      (farm_id, device_id, schedule_time, temperature, humidity, monitoring_date, status, notes)
      VALUES (?, ?, ?, ?, ?, ?, ?, ?)
    `;

    let totalInserted = 0;
    const today = new Date();

    // 为过去7天生成数据
    for (let day = 0; day < 7; day++) {
      const monitoringDate = new Date(today);
      monitoringDate.setDate(today.getDate() - day);
      const dateStr = monitoringDate.toISOString().split('T')[0];
      
      for (const time of schedules) {
        // 农场1的数据
        const temp1 = (18 + Math.random() * 15).toFixed(2);
        const humidity1 = (45 + Math.random() * 35).toFixed(2);
        
        await connection.execute(insertSQL, [
          1, 1, time, temp1, humidity1, dateStr, 'active', `定时监测数据 - ${time}`
        ]);
        totalInserted++;
        
        // 农场2的数据
        const temp2 = (16 + Math.random() * 18).toFixed(2);
        const humidity2 = (40 + Math.random() * 40).toFixed(2);
        
        await connection.execute(insertSQL, [
          2, 2, time, temp2, humidity2, dateStr, 'active', `定时监测数据 - ${time}`
        ]);
        totalInserted++;
      }
    }

    console.log(`成功插入 ${totalInserted} 条环境监测时刻数据`);

    // 验证数据
    const [countResult] = await connection.execute(
      'SELECT COUNT(*) as total FROM environment_schedules'
    );
    console.log(`环境监测时刻表总记录数: ${countResult[0].total}`);

    const [todayResult] = await connection.execute(
      'SELECT COUNT(*) as today_count FROM environment_schedules WHERE monitoring_date = CURDATE()'
    );
    console.log(`今日监测记录数: ${todayResult[0].today_count}`);

    // 显示部分数据样例
    const [sampleData] = await connection.execute(`
      SELECT monitoring_date, schedule_time, temperature, humidity 
      FROM environment_schedules 
      ORDER BY monitoring_date DESC, schedule_time ASC 
      LIMIT 5
    `);
    
    console.log('\n数据样例:');
    sampleData.forEach(record => {
      console.log(`日期: ${record.monitoring_date}, 时间: ${record.schedule_time}, 温度: ${record.temperature}°C, 湿度: ${record.humidity}%`);
    });

  } catch (error) {
    console.error('创建环境监测时刻表失败:', error.message);
  } finally {
    if (connection) {
      await connection.end();
      console.log('数据库连接已关闭');
    }
  }
}

// 执行创建操作
createEnvironmentScheduleTable();