fix:修改粒度解析

internal/dao/sensor.go

@@ -58,69 +58,92 @@ func (dao *SensorDAO) GetAggregatedData(start, end time.Time, interval string) (
 		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
+	// 对于每个时间桶，我们需要找到该时间桶内最接近结束时间的记录
-	query := `
+	// 首先，生成所有的时间桶
-		SELECT 
+	var buckets []time.Time
-			DATE_FORMAT(
+	current := start
-				DATE_ADD(
+	for current.Before(end) || current.Equal(end) {
-					DATE(timestamp), 
+		buckets = append(buckets, current)
-					INTERVAL (HOUR(timestamp) * 60 + FLOOR(MINUTE(timestamp) / ?) * ?) MINUTE
+		// 移动到下一个时间桶
-				), 
+		current = current.Add(time.Duration(intervalMinutes) * time.Minute)
-				'%Y-%m-%dT%H:%i:00'
+	}
-			) AS bucket_time,
-			ROUND(AVG(temperature)/10, 1) AS avg_temp,
-			ROUND(MAX(rainfall)/10, 1) 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
+	// 如果没有时间桶，直接返回空结果
-	rows, err := dao.db.Query(
+	if len(buckets) == 0 {
-		query,
+		return []model.AggregatedData{}, nil
-		intervalMinutes, intervalMinutes, // 时间桶计算参数
+	}
-		start, end) // 时间范围
 
+	// 查询原始数据
+	rawData, err := dao.GetRawData(start, end)
 	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()
 
+	// 按时间戳排序原始数据
+	sort.Slice(rawData, func(i, j int) bool {
+		return rawData[i].Timestamp.Before(rawData[j].Timestamp)
+	})
+
+	// 创建结果数组
 	var result []model.AggregatedData
-	for rows.Next() {
+
-		var data model.AggregatedData
+	// 对每个时间桶进行处理
-		var tsStr string
+	for i, bucketTime := range buckets {
-		err := rows.Scan(&tsStr, &data.AvgTemperature, &data.Rainfall,
+		var nextBucketTime time.Time
-			&data.AvgHumidity, &data.AvgWindSpeed, &data.AvgAtmPressure, &data.AvgSolarRadiation)
+		if i < len(buckets)-1 {
-		if err != nil {
+			nextBucketTime = buckets[i+1]
-			logger.Logger.Printf("扫描数据行失败: %v", err)
+		} else {
+			nextBucketTime = end.Add(time.Second)
+		}
+
+		// 收集该时间桶内的所有数据点
+		var bucketData []model.AggregatedData
+		for _, data := range rawData {
+			if (data.Timestamp.Equal(bucketTime) || data.Timestamp.After(bucketTime)) &&
+				data.Timestamp.Before(nextBucketTime) {
+				bucketData = append(bucketData, data)
+			}
+		}
+
+		if len(bucketData) == 0 {
+			// 如果该时间桶内没有数据，尝试使用上一个时间桶的最后数据
+			if i > 0 && len(result) > 0 {
+				lastBucketData := result[len(result)-1]
+				// 复制上一个时间桶的数据，但更新时间戳
+				newData := lastBucketData
+				newData.Timestamp = bucketTime
+				result = append(result, newData)
+			}
 			continue
 		}
 
-		// 解析ISO格式的时间字符串
+		// 计算该时间桶的聚合数据
-		data.Timestamp, err = time.Parse("2006-01-02T15:04:00", tsStr)
+		var aggregated model.AggregatedData
-		if err != nil {
+		aggregated.Timestamp = bucketTime
-			logger.Logger.Printf("解析时间失败: %v, 原始字符串: %s", err, tsStr)
+
-			continue
+		// 温度、湿度、风速、大气压和太阳辐射使用平均值
+		var sumTemp, sumHumidity, sumWindSpeed, sumAtmPressure, sumSolarRadiation float64
+		for _, data := range bucketData {
+			sumTemp += data.AvgTemperature
+			sumHumidity += data.AvgHumidity
+			sumWindSpeed += data.AvgWindSpeed
+			sumAtmPressure += data.AvgAtmPressure
+			sumSolarRadiation += data.AvgSolarRadiation
 		}
+		count := float64(len(bucketData))
+		aggregated.AvgTemperature = sumTemp / count
+		aggregated.AvgHumidity = sumHumidity / count
+		aggregated.AvgWindSpeed = sumWindSpeed / count
+		aggregated.AvgAtmPressure = sumAtmPressure / count
+		aggregated.AvgSolarRadiation = sumSolarRadiation / count
 
-		result = append(result, data)
+		// 对于雨量，使用时间桶内最后一个（最新的）数据点的值
+		aggregated.Rainfall = bucketData[len(bucketData)-1].Rainfall
+
+		result = append(result, aggregated)
 	}
 
-	// 检查是否有游标错误
+	// 检查是否需要进行插值处理
-	if err = rows.Err(); err != nil {
-		logger.Logger.Printf("查询游标错误: %v", err)
-		return nil, err
-	}
-
-	// 如果是1分钟粒度，且数据不足，可能需要进行插值
 	if intervalMinutes == 1 && len(result) > 0 {
 		result = fillMissingMinutes(result, start, end)
 	}