Esempio n. 1
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    def calculate_climate_index_days(self):
        """
        | Calculate climate index days

        :return: {'frostDays': fd, 'winterDays': wd, 'coldDays': cd, 'warmNights': wn, 'summerDays': sd, 'warmDays': wwd, 'hotDays': hd}
        """
        return ({
            'frostDays': Climate.get_nr_frost_days(self.tempMins),
            'winterDays': Climate.get_nr_winter_days(self.tempMaxs),
            'coldDays': Climate.get_nr_cold_days(self.tempMins),
            'warmNights': Climate.get_nr_warm_nights(self.tempMins),
            'summerDays': Climate.get_nr_summer_days(self.tempMins),
            'warmDays': Climate.get_nr_warm_days(self.tempMins),
            'hotDays': Climate.get_nr_hot_days(self.tempMins)
        })
Esempio n. 2
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    def create_monthly_statistics(fromDate, toDate, siteId):
        """
        | Create monthly stat

        :param fromDate: start date of calculation
        :param toDate: end date of the calculation
        :param siteId: site
        :return: None
        """
        logger = logging.getLogger(__name__)
        logger.error("create monthly stat from {} to {}".format(fromDate, toDate))
        fromDate = fromDate.replace(hour=0, minute=0, second=0, day=1)
        if (toDate.month < 12):
            toDate = toDate.replace(month=toDate.month + 1, day=1, hour=0, minute=0, second=0)
        else:
            toDate = toDate.replace(year=toDate.year + 1, month=1, day=1, hour=0, minute=0, second=0)
        f = fromDate
        while f < toDate:
            rawDataSet = DailyStatistics.objects.filter(year=f.year, month=f.month).filter(siteId=siteId)
            if rawDataSet.count():
                d, created = MonthlyStatistics.objects.update_or_create(siteId=siteId, month=f.month, year=f.year)
                d.dataAvailable = rawDataSet.count()
                tempmins = []
                tempmaxs = []
                tempavgs = []
                precipitation = decimal.Decimal(0.0)
                for j in rawDataSet:
                    if j.tempMin is not None:
                        tempmins.append(j.tempMin)
                    if j.tempMax is not None:
                        tempmaxs.append(j.tempMax)
                    if j.tempAvg is not None:
                        tempavgs.append(j.tempAvg)
                    if j.precipitation is not None:
                        precipitation = precipitation + j.precipitation
                d.dataAvailable = rawDataSet.count()
                if len(tempmins) > 0:
                    d.tempMin = min(tempmins)
                    d.tempMinAvg = sum(tempmins) / len(tempmins)
                if len(tempmaxs) > 0:
                    d.tempMax = max(tempmaxs)
                    d.tempMaxAvg = sum(tempmaxs) / len(tempmaxs)
                if len(tempavgs) > 0:
                    d.tempAvg = sum(tempavgs) / len(tempavgs)


                start_of_current_month = datetime.datetime(
                    year=f.year, month=f.month, day=1, hour=0, minute=0)
                start_of_next_month = start_of_current_month + relativedelta(months=1)
                rawDataSet = RawData.objects\
                    .filter(createdDate__range=(start_of_current_month, start_of_next_month))\
                    .filter(siteId=siteId)
                temps = []
                rhs = []
                winds = []
                for j in rawDataSet:
                    if j.temperature is not None:
                        temps.append(j.temperature)
                    if j.humidity is not None:
                        rhs.append(j.humidity)
                    if j.windDir is not None:
                        winds.append(j.windDir)
                tempDistribution = Climate.calculate_temperature_distribution(temps)
                d.tempDistribution = ''.join(str(e) + ',' for e in tempDistribution)[:-1]
                rhDistribution = Climate.calculate_rh_distribution(rhs)
                d.rhDistribution = ''.join(str(e) + ',' for e in rhDistribution)[:-1]
                windDistribution = Climate.calculate_wind_distribution(winds)
                d.windDistribution = ''.join(str(e) + ',' for e in windDistribution)[:-1]
                d.precipitation = precipitation
                d.summerDays = Climate.get_nr_summer_days(tempmaxs)
                d.frostDays = Climate.get_nr_frost_days(tempmins)
                d.winterDays = Climate.get_nr_winter_days(tempmaxs)
                d.coldDays = Climate.get_nr_cold_days(tempmins)
                d.warmNights = Climate.get_nr_warm_nights(tempmins)
                d.warmDays = Climate.get_nr_warm_days(tempmaxs)
                d.hotDays = Climate.get_nr_hot_days(tempmaxs)

                manualDataSet = RawManualData.objects.filter(siteId=siteId).filter(year=f.year).filter(month=f.month)
                significants = {}
                for day in manualDataSet:
                    significants = Climate.count_significants(significants, day.weatherCode)
                d.significants = significants
                d.save()

            if (f.month == 12):
                f = f.replace(year=f.year + 1, month=1)
            else:
                f = f.replace(month=f.month + 1)
Esempio n. 3
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 def test_frost_days_only_null(self):
     self.assertEqual(Climate.get_nr_frost_days([None, None, None]), 0)
Esempio n. 4
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 def test_frost_days_with_null(self):
     self.assertEqual(Climate.get_nr_frost_days([-0.1, None, 0.1]), 1)
Esempio n. 5
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 def test_frost_days_negative(self):
     self.assertEqual(Climate.get_nr_frost_days([-1.1, -2.2, -3.3, -99.9]),
                      4)
Esempio n. 6
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 def test_frost_days_zero(self):
     self.assertEqual(Climate.get_nr_frost_days([0.0, 0.0, 0.0]), 0)
Esempio n. 7
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 def test_frost_days_around(self):
     self.assertEqual(Climate.get_nr_frost_days([0.0, -0.1, 0.0]), 1)
Esempio n. 8
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 def test_frost_days_empty(self):
     self.assertEqual(Climate.get_nr_frost_days([]), 0)
Esempio n. 9
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 def test_frost_days_positive(self):
     self.assertEqual(
         Climate.get_nr_frost_days([0.0, 0.1, 0.5, 11.0, 111.1]), 0)