package dao

import (
	"database/sql"
	"time"

	"go_rain_dtu/internal/model"
	"go_rain_dtu/pkg/logger"
)

type SensorDAO struct {
	db *sql.DB
}

func NewSensorDAO(db *sql.DB) *SensorDAO {
	return &SensorDAO{db: db}
}

// 插入传感器数据
func (dao *SensorDAO) Insert(data *model.SensorData) error {
	query := `
        INSERT INTO sensor_data (
            timestamp, wind_speed, wind_force, wind_direction_8, 
            wind_direction_360, humidity, temperature, atm_pressure, 
            solar_radiation, rainfall
        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
    `

	_, err := dao.db.Exec(query,
		data.Timestamp, data.WindSpeed, data.WindForce, data.WindDirection8,
		data.WindDirection360, data.Humidity, data.Temperature, data.AtmPressure,
		data.SolarRadiation, data.Rainfall,
	)

	if err != nil {
		logger.Logger.Printf("插入传感器数据失败: %v", err)
		return err
	}

	return nil
}

// 获取聚合数据
func (dao *SensorDAO) GetAggregatedData(start, end time.Time, interval string) ([]model.AggregatedData, error) {
	// 参数化时间间隔
	var intervalMinutes int

	switch interval {
	case "5min":
		intervalMinutes = 5
	case "30min":
		intervalMinutes = 30
	default: // 1hour
		intervalMinutes = 60
	}

	// 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
	query := `
		SELECT 
			DATE_FORMAT(
				DATE_ADD(
					DATE(timestamp), 
					INTERVAL (HOUR(timestamp) * 60 + FLOOR(MINUTE(timestamp) / ?) * ?) MINUTE
				), 
				'%Y-%m-%dT%H:%i:00'
			) AS bucket_time,
			ROUND(AVG(temperature)/10, 1) AS avg_temp,
			MAX(rainfall) - MIN(rainfall) AS rainfall,
			ROUND(AVG(humidity)/10, 1) AS avg_humidity,
			ROUND(AVG(wind_speed)/100, 1) AS avg_wind_speed,
			ROUND(AVG(atm_pressure)/10, 1) AS avg_atm_pressure,
			ROUND(AVG(solar_radiation), 1) AS avg_solar_radiation
		FROM sensor_data
		WHERE timestamp BETWEEN ? AND ?
		GROUP BY bucket_time
		ORDER BY bucket_time DESC
	`

	// 执行查询
	rows, err := dao.db.Query(
		query,
		intervalMinutes, intervalMinutes, // 时间桶计算参数
		start, end) // 时间范围

	if err != nil {
		logger.Logger.Printf("查询聚合数据失败: %v (间隔=%s, 开始=%s, 结束=%s)",
			err, interval, start.Format(time.RFC3339), end.Format(time.RFC3339))
		return nil, err
	}
	defer rows.Close()

	var result []model.AggregatedData
	for rows.Next() {
		var data model.AggregatedData
		var tsStr string
		err := rows.Scan(&tsStr, &data.AvgTemperature, &data.Rainfall,
			&data.AvgHumidity, &data.AvgWindSpeed, &data.AvgAtmPressure, &data.AvgSolarRadiation)
		if err != nil {
			logger.Logger.Printf("扫描数据行失败: %v", err)
			continue
		}

		// 解析ISO格式的时间字符串
		data.Timestamp, err = time.Parse("2006-01-02T15:04:00", tsStr)
		if err != nil {
			logger.Logger.Printf("解析时间失败: %v, 原始字符串: %s", err, tsStr)
			continue
		}

		result = append(result, data)
	}

	// 检查是否有游标错误
	if err = rows.Err(); err != nil {
		logger.Logger.Printf("查询游标错误: %v", err)
		return nil, err
	}

	logger.Logger.Printf("聚合查询成功: 返回%d条记录 (间隔=%s)", len(result), interval)
	return result, nil
}