120 lines
3.0 KiB
Go
120 lines
3.0 KiB
Go
package dao
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import (
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"database/sql"
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"time"
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"go_rain_dtu/internal/model"
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"go_rain_dtu/pkg/logger"
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)
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type SensorDAO struct {
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db *sql.DB
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}
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func NewSensorDAO(db *sql.DB) *SensorDAO {
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return &SensorDAO{db: db}
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}
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// 插入传感器数据
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func (dao *SensorDAO) Insert(data *model.SensorData) error {
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query := `
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INSERT INTO sensor_data (
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timestamp, wind_speed, wind_force, wind_direction_8,
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wind_direction_360, humidity, temperature, atm_pressure,
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solar_radiation, rainfall
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) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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`
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_, err := dao.db.Exec(query,
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data.Timestamp, data.WindSpeed, data.WindForce, data.WindDirection8,
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data.WindDirection360, data.Humidity, data.Temperature, data.AtmPressure,
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data.SolarRadiation, data.Rainfall,
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)
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if err != nil {
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logger.Logger.Printf("插入传感器数据失败: %v", err)
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return err
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}
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return nil
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}
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// 获取聚合数据
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func (dao *SensorDAO) GetAggregatedData(start, end time.Time, interval string) ([]model.AggregatedData, error) {
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// 参数化时间间隔
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var intervalMinutes int
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switch interval {
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case "5min":
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intervalMinutes = 5
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case "30min":
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intervalMinutes = 30
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default: // 1hour
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intervalMinutes = 60
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}
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// 使用时间桶函数创建标准化的时间戳，并将其包含在GROUP BY子句中
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query := `
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SELECT
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DATE_FORMAT(
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DATE_ADD(
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DATE(timestamp),
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INTERVAL (HOUR(timestamp) * 60 + FLOOR(MINUTE(timestamp) / ?) * ?) MINUTE
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),
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'%Y-%m-%dT%H:%i:00'
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) AS bucket_time,
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ROUND(AVG(temperature)/10, 1) AS avg_temp,
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MAX(rainfall) - MIN(rainfall) AS rainfall,
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ROUND(AVG(humidity)/10, 1) AS avg_humidity,
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ROUND(AVG(wind_speed)/10, 1) AS avg_wind_speed
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FROM sensor_data
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WHERE timestamp BETWEEN ? AND ?
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GROUP BY bucket_time
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ORDER BY bucket_time DESC
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`
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// 执行查询
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rows, err := dao.db.Query(
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query,
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intervalMinutes, intervalMinutes, // 时间桶计算参数
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start, end) // 时间范围
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if err != nil {
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logger.Logger.Printf("查询聚合数据失败: %v (间隔=%s, 开始=%s, 结束=%s)",
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err, interval, start.Format(time.RFC3339), end.Format(time.RFC3339))
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return nil, err
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}
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defer rows.Close()
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var result []model.AggregatedData
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for rows.Next() {
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var data model.AggregatedData
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var tsStr string
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err := rows.Scan(&tsStr, &data.AvgTemperature, &data.Rainfall,
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&data.AvgHumidity, &data.AvgWindSpeed)
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if err != nil {
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logger.Logger.Printf("扫描数据行失败: %v", err)
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continue
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}
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// 解析ISO格式的时间字符串
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data.Timestamp, err = time.Parse("2006-01-02T15:04:00", tsStr)
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if err != nil {
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logger.Logger.Printf("解析时间失败: %v, 原始字符串: %s", err, tsStr)
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continue
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}
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result = append(result, data)
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}
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// 检查是否有游标错误
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if err = rows.Err(); err != nil {
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logger.Logger.Printf("查询游标错误: %v", err)
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return nil, err
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}
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logger.Logger.Printf("聚合查询成功: 返回%d条记录 (间隔=%s)", len(result), interval)
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return result, nil
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}
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