105 lines
3.7 KiB
JavaScript
105 lines
3.7 KiB
JavaScript
const mysql = require('mysql2/promise');
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require('dotenv').config();
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async function verifyEnvironmentData() {
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let connection;
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try {
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// 创建数据库连接
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connection = await mysql.createConnection({
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host: process.env.DB_HOST,
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port: process.env.DB_PORT,
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user: process.env.DB_USER,
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password: process.env.DB_PASSWORD,
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database: process.env.DB_NAME
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});
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console.log('数据库连接成功');
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// 检查表是否存在
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const [tables] = await connection.execute(
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"SHOW TABLES LIKE 'environment_schedules'"
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);
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if (tables.length === 0) {
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console.log('环境监测时刻表不存在');
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return;
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}
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console.log('环境监测时刻表存在');
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// 获取总记录数
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const [countResult] = await connection.execute(
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'SELECT COUNT(*) as total_records FROM environment_schedules'
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);
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console.log(`\n总记录数: ${countResult[0].total_records}`);
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// 按农场分组统计
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const [farmStats] = await connection.execute(
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`SELECT farm_id, COUNT(*) as record_count,
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MIN(monitoring_date) as earliest_date,
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MAX(monitoring_date) as latest_date
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FROM environment_schedules
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GROUP BY farm_id
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ORDER BY farm_id`
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);
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console.log('\n按农场统计:');
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farmStats.forEach(stat => {
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console.log(`农场${stat.farm_id}: ${stat.record_count}条记录, 日期范围: ${stat.earliest_date} 到 ${stat.latest_date}`);
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});
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// 获取最新的10条记录
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const [recentRecords] = await connection.execute(
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`SELECT farm_id, device_id, schedule_time, temperature, humidity,
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DATE(monitoring_date) as date, status
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FROM environment_schedules
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ORDER BY monitoring_date DESC, schedule_time DESC
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LIMIT 10`
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);
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console.log('\n最新的10条环境监测记录:');
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console.log('农场ID | 设备ID | 日期 | 时间 | 温度(°C) | 湿度(%) | 状态');
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console.log('-------|----------|------------|----------|----------|---------|--------');
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recentRecords.forEach(record => {
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console.log(`${record.farm_id.toString().padEnd(6)} | ${record.device_id.padEnd(8)} | ${record.date} | ${record.schedule_time} | ${record.temperature.toString().padEnd(8)} | ${record.humidity.toString().padEnd(7)} | ${record.status}`);
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});
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// 检查数据分布
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const [timeStats] = await connection.execute(
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`SELECT schedule_time, COUNT(*) as count
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FROM environment_schedules
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GROUP BY schedule_time
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ORDER BY schedule_time`
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);
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console.log('\n按监测时间统计:');
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timeStats.forEach(stat => {
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console.log(`${stat.schedule_time}: ${stat.count}条记录`);
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});
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// 温度湿度范围统计
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const [rangeStats] = await connection.execute(
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`SELECT
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MIN(temperature) as min_temp, MAX(temperature) as max_temp, AVG(temperature) as avg_temp,
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MIN(humidity) as min_humidity, MAX(humidity) as max_humidity, AVG(humidity) as avg_humidity
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FROM environment_schedules`
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);
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console.log('\n温度湿度统计:');
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const stats = rangeStats[0];
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console.log(`温度范围: ${parseFloat(stats.min_temp).toFixed(2)}°C - ${parseFloat(stats.max_temp).toFixed(2)}°C (平均: ${parseFloat(stats.avg_temp).toFixed(2)}°C)`);
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console.log(`湿度范围: ${parseFloat(stats.min_humidity).toFixed(2)}% - ${parseFloat(stats.max_humidity).toFixed(2)}% (平均: ${parseFloat(stats.avg_humidity).toFixed(2)}%)`);
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} catch (error) {
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console.error('验证失败:', error.message);
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} finally {
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if (connection) {
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await connection.end();
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console.log('\n数据库连接已关闭');
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}
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}
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}
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// 运行验证脚本
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verifyEnvironmentData(); |