Revize 98b568bc
Přidáno uživatelem Alex Konig před téměř 4 roky(ů)
Server/ServerApp/Parser/Parsers/WeatherParser.cs | ||
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/// Class parsing weather files into instances of WeatherInfo divided by given time interval |
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/// Data parsed from 7am (included) to 18pm (included) |
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/// </summary> |
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/// <author>Alex Konig</author> |
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class WeatherParser |
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{ |
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/// <summary> Datafile loader </summary> |
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DataLoader loader; |
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/// <summary> |
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/// Constructor |
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/// </summary> |
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/// <param name="loader">Datafile loader</param> |
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public WeatherParser(DataLoader loader) |
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{ |
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this.loader = loader; |
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} |
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/// <summary> |
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/// Parses weather data to WeatherInfo instances |
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/// Data parsed from 7am (included) to 18pm (included) |
... | ... | |
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// parse according to interval |
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else |
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{ |
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// pokud: konec dne nebo konec aktuálního intervalu -> vemu to co sem nasčítal |
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throw new NotImplementedException(); |
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loadedData = ProcessOneWeatherFileAsIntervals(fileName, interval); |
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} |
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list.AddRange(loadedData); |
... | ... | |
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/// </summary> |
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/// <param name="path">Path ti file</param> |
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/// <returns>List with WeatherInfo instances</returns> |
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private static List<WeatherInfo> ProcessOneWeatherFileAsDays(string path)
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private List<WeatherInfo> ProcessOneWeatherFileAsDays(string path) |
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{ |
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if (!File.Exists(path)) |
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return null; |
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List<WeatherInfo> weatherInfo = new List<WeatherInfo>(); |
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List<WeatherInstance> list = CsvDataLoader.LoadWeatherFile(path);
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List<WeatherInstance> list = loader.LoadWeatherFile(path);
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// array with data [temp, rain, wind, lum] |
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double[] recordedAmount = new double[4]; |
... | ... | |
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// first day |
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DateTime lastStartDay = new DateTime(list[0].dateTime.Year, list[0].dateTime.Month, list[0].dateTime.Day, minmaxHour[0], 0, 0); |
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// number of values in day |
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int values = 0; |
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int values = 0, weatherValues = 0;
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for (int i = 0; i < list.Count; i++) |
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{ |
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int currHour = list[i].dateTime.Hour; |
... | ... | |
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DateTime date = new DateTime(list[i].dateTime.Year, list[i].dateTime.Month, list[i].dateTime.Day, minmaxHour[0], 0, 0); |
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if (!date.Equals(lastStartDay)) |
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{ |
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WeatherInfo dayInfo = new WeatherInfo(lastStartDay, recordedAmount[0] / values, (int)(recordedAmount[1] / values * 100), recordedAmount[2] / values, recordedAmount[3] / values, range);
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WeatherInfo dayInfo = new WeatherInfo(lastStartDay, recordedAmount[0] / values, (int)(recordedAmount[1] / values * 100), recordedAmount[2] / values, recordedAmount[3] / weatherValues, range);
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weatherInfo.Add(dayInfo); |
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recordedAmount = new double[4]; |
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lastStartDay = date; |
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values = 0; |
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weatherValues = 0; |
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} |
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// aggregate data |
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recordedAmount[0] += list[i].temp; |
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recordedAmount[1] += list[i].rain; |
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recordedAmount[2] += list[i].wind; |
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recordedAmount[3] += list[i].lum * 1000; |
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if (LuxToConditions.TransferLuxToConditions(list[i].lum * 1000) != WeatherConditions.Dark) |
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recordedAmount[3] += list[i].lum * 1000; weatherValues++; |
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values++; |
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} |
... | ... | |
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return weatherInfo; |
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} |
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private static List<ActivityInfo> ProcessOneWeatherFileAsIntervals(string path, int interval) |
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/// <summary> |
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/// Parses data from one data file as one instance per interval length |
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/// </summary> |
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/// <param name="path">Path to file</param> |
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/// <param name="interval">Interval length</param> |
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/// <returns>List with ActivityInfo instances</returns> |
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private List<WeatherInfo> ProcessOneWeatherFileAsIntervals(string path, int interval) |
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{ |
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throw new NotImplementedException(); |
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if (!File.Exists(path)) |
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return null; |
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List<WeatherInfo> loignInfo = new List<WeatherInfo>(); |
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List<WeatherInstance> list = loader.LoadWeatherFile(path); |
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// min/max hour taken into account |
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int[] minmaxHour = new int[] { 7, 18 }; |
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int range = minmaxHour[1] - minmaxHour[0]; |
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if (interval > range) |
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return null; |
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int indices = (int)Math.Ceiling(range / (double)interval); |
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int[] to = new int[indices]; |
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double[][] data = new double[indices][]; |
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int[] count = new int[indices]; |
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for (int i = 0; i < to.Length; i++) |
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{ |
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to[i] = minmaxHour[0] + interval * (i + 1); |
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data[i] = new double[4]; |
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} |
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// first day |
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DateTime lastStartTime = new DateTime(list[0].dateTime.Year, list[0].dateTime.Month, list[0].dateTime.Day, minmaxHour[0], 0, 0); |
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int index; |
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for (int i = 0; i < list.Count; i++) |
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{ |
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int currHour = list[i].dateTime.Hour; |
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if (currHour < minmaxHour[0] || currHour > minmaxHour[1]) |
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continue; |
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// start of the day -> make an instance |
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DateTime date = new DateTime(list[i].dateTime.Year, list[i].dateTime.Month, list[i].dateTime.Day, list[i].dateTime.Hour, 0, 0); |
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// end of the day |
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if (!(date.Year == lastStartTime.Year && date.Month == lastStartTime.Month && date.Day == lastStartTime.Day)) |
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{ |
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// note down all aggregated data |
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for (int k = 0; k < to.Length; k++) |
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{ |
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int raincount = 0; |
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double rainval = 0;; |
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for (int l = 0; l <= k; l++) |
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{ |
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raincount += count[l]; |
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rainval += data[l][1]; |
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} |
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DateTime stTime = new DateTime(lastStartTime.Year, lastStartTime.Month, lastStartTime.Day, to[k] - interval, 0, 0); |
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WeatherInfo intervalInfo = new WeatherInfo(stTime, data[k][0] / count[k], (int)((rainval / raincount) * 100), data[k][2] / count[k], data[k][3] / count[k], interval); |
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if (count[k] != 0) |
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loignInfo.Add(intervalInfo); |
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} |
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lastStartTime = date; |
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count = new int[indices]; |
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for (int l = 0; l < data.Length; l++) |
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data[l] = new double[4]; |
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} |
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// find index for current instance |
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index = 0; |
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for (int k = 1; k < to.Length; k++) |
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{ |
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if (to[k] > list[i].dateTime.Hour && to[k - 1] <= list[i].dateTime.Hour) |
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{ |
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index = k; |
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break; |
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} |
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} |
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// aggregate data |
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data[index][0] += list[i].temp; |
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data[index][1] += list[i].rain; |
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data[index][2] += list[i].wind; |
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data[index][3] += list[i].lum * 1000; |
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count[index]++; |
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} |
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for (int k = 0; k < to.Length; k++) |
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{ |
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int raincount = 0; |
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double rainval = 0; ; |
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for (int l = 0; l <= k; l++) |
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{ |
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raincount += count[l]; |
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rainval += data[l][1]; |
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} |
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DateTime stTime = new DateTime(lastStartTime.Year, lastStartTime.Month, lastStartTime.Day, to[k] - interval, 0, 0); |
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WeatherInfo intervalInfo = new WeatherInfo(stTime, data[k][0] / count[k], (int)((rainval / raincount) * 100), data[k][2] / count[k], data[k][3] / count[k], interval); |
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if (count[k] != 0) |
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loignInfo.Add(intervalInfo); |
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} |
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return loignInfo; |
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} |
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} |
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} |
Také k dispozici: Unified diff
re #8612 Weather parser in hourly intervals