Files
zephyr/model/statisticsModel.go

59 lines
1.6 KiB
Go

package model
import (
"errors"
"slices"
"strconv"
"github.com/ceticamarco/zephyr/statistics"
"github.com/ceticamarco/zephyr/types"
)
func GetStatistics(cityName string, statDB *types.StatDB) (types.StatResult, error) {
// Check whether there are sufficient and updated records for the given location
if statDB.IsKeyInvalid(cityName) {
return types.StatResult{}, errors.New("insufficient or outdated data to perform statistical analysis")
}
extractTemps := func(weatherArr []types.Weather) ([]float64, error) {
temps := make([]float64, 0, len(weatherArr))
for _, weather := range weatherArr {
temperature, err := strconv.ParseFloat(weather.Temperature, 64)
if err != nil {
return nil, err
}
temps = append(temps, temperature)
}
return temps, nil
}
// Extract records from the database
stats := statDB.GetCityStatistics(cityName)
// Extract temperatures from weather statistics
temps, err := extractTemps(stats)
if err != nil {
return types.StatResult{}, err
}
// Detect anomalies
anomalies := statistics.DetectAnomalies(stats)
if len(anomalies) == 0 {
anomalies = nil
}
// Compute statistics
return types.StatResult{
Min: strconv.FormatFloat(slices.Min(temps), 'f', -1, 64),
Max: strconv.FormatFloat(slices.Max(temps), 'f', -1, 64),
Count: len(stats),
Mean: strconv.FormatFloat(statistics.Mean(temps), 'f', -1, 64),
StdDev: strconv.FormatFloat(statistics.StdDev(temps), 'f', -1, 64),
Median: strconv.FormatFloat(statistics.Median(temps), 'f', -1, 64),
Mode: strconv.FormatFloat(statistics.Mode(temps), 'f', -1, 64),
Anomaly: &anomalies,
}, nil
}