def from_gae(cls, station=None, regio=None, provincie=None, datum=None):
stations = []
if station:
stations = [station.id]
elif regio:
stations = map(lambda x: x.id, regio.stations)
elif provincie:
stations = stations + map(lambda x: x.id, provincie.stations)
collection = ForecastCollection()
if len(stations) == 0:
return collection
dbForecasts = models.Forecast.gql(
"WHERE station_id IN :stations AND datapunt_van >= :datum \
AND datapunt_van < :plus_dag \
ORDER BY datapunt_van ASC",
stations=stations,
datum=datum,
plus_dag=datum + mytime.timedelta(days=1),
min_dag=datum - mytime.timedelta(days=1))
#dbForecasts = sorted(dbForecasts, key=lambda x: x.tijdstip_datapunt, reverse=True)
for dbForecast in dbForecasts:
forecast = Forecast.from_gae(dbForecast)
#if len(collection.forecasts) > 0:
#previous_forecast = collection.forecasts[-1]
#if previous_forecast.datapunt_van > forecast.datapunt_van:
#break
collection.forecasts.append(forecast)
return collection
def from_gae(cls, station = None, regio = None, provincie = None, datum = None):
stations = []
if station:
stations = [station.id]
elif regio:
stations = map(lambda x: x.id, regio.stations)
elif provincie:
stations = stations + map(lambda x: x.id, provincie.stations)
collection = ForecastCollection()
if len(stations) == 0:
return collection
dbForecasts = models.Forecast.gql("WHERE station_id IN :stations AND datapunt_van >= :datum \
AND datapunt_van < :plus_dag \
ORDER BY datapunt_van ASC",
stations=stations,
datum=datum,
plus_dag=datum + mytime.timedelta(days=1),
min_dag=datum - mytime.timedelta(days=1))
#dbForecasts = sorted(dbForecasts, key=lambda x: x.tijdstip_datapunt, reverse=True)
for dbForecast in dbForecasts:
forecast = Forecast.from_gae(dbForecast)
#if len(collection.forecasts) > 0:
#previous_forecast = collection.forecasts[-1]
#if previous_forecast.datapunt_van > forecast.datapunt_van:
#break
collection.forecasts.append(forecast)
return collection
def tasks_delete_old_forecasts():
dagen = 21
datum = (mytime.datetime.today() + mytime.timedelta(days=-21)).date()
for forecast in models.Forecast.gql('WHERE datapunt_van < :datum', datum=datum):
forecast.delete()
return 'OK'
def bind(self, gegevens):
self.datapunt_van = mytime.datetime.fromtimestamp(
float(gegevens['FCTTIME']['epoch']))
self.datapunt_tot = self.datapunt_van + mytime.timedelta(seconds=60 *
60)
self.tijdstip_datapunt = mytime.datetime.now()
self.weertype = gegevens['icon']
self.omschrijving = gegevens['condition']
self.temperatuur = float(gegevens['temp']['metric'])
self.gevoelstemperatuur = float(gegevens['feelslike']['metric'])
self.neerslagkans = float(gegevens['pop']) / 100
try:
self.winterse_neerslag_in_mm = float(gegevens['snow']['metric'])
except ValueError:
self.winterse_neerslag_in_mm = 0.0
try:
self.neerslag_in_mm = float(gegevens['qpf']['metric'])
except ValueError:
self.neerslag_in_mm = 0.0
try:
self.bewolking = float(gegevens['sky']) / 100
except ValueError:
self.bewolking = 0.0
self.zonkans = 1 - self.bewolking
self.windkracht = float(gegevens['wspd']['metric'])
self.windrichting = gegevens['wdir']['dir']
def tasks_delete_old_forecasts():
dagen = 21
datum = (mytime.datetime.today() + mytime.timedelta(days=-21)).date()
for forecast in models.Forecast.gql('WHERE datapunt_van < :datum',
datum=datum):
forecast.delete()
return 'OK'
def tomorrow(self):
tomorrow = (mytime.datetime.today() + mytime.timedelta(days=1)).date()
gegevens_tomorrow = ForecastCollection()
for forecast in self.forecasts:
dt = forecast.datapunt_van
if dt.date() == tomorrow:
gegevens_tomorrow.forecasts.append(forecast)
return gegevens_tomorrow
def tomorrow(self):
tomorrow = (mytime.datetime.today() + mytime.timedelta(days=1)).date()
gegevens_tomorrow = ForecastCollection()
for forecast in self.forecasts:
dt = forecast.datapunt_van
if dt.date() == tomorrow:
gegevens_tomorrow.forecasts.append(forecast)
return gegevens_tomorrow
def decorated_function(*args, **kwargs):
tme = (mytime.datetime.today()+mytime.timedelta(minutes=minutes)).strftime('%a, %d %b %Y %H:%M:%S') + ' ' + mytime.datetime.today().tzname()
data = f(*args, **kwargs)
if isinstance(data, flask.wrappers.Response):
response = data
else:
response = flask.make_response(data)
response.headers['Expires'] = tme
response.headers['Cache-Control'] = 'max-age=%s' % minutes
return response
def decorated_function(*args, **kwargs):
tme = (mytime.datetime.today() + mytime.timedelta(minutes=minutes)
).strftime('%a, %d %b %Y %H:%M:%S'
) + ' ' + mytime.datetime.today().tzname()
data = f(*args, **kwargs)
if isinstance(data, flask.wrappers.Response):
response = data
else:
response = flask.make_response(data)
response.headers['Expires'] = tme
response.headers['Cache-Control'] = 'max-age=%s' % minutes
return response
def hourly(cls):
retvals = []
for station in weather.Station.all():
now = mytime.datetime.now()
# Make sure it is never request more than once every 30 minutes
timediff = now - mytime.timedelta(seconds=60*30)
last_forecast = models.Forecast.gql("WHERE station_id = :station_id AND \
tijdstip_datapunt > :timediff",
station_id=station.id, timediff=timediff).get()
# There's already a forecast < 15 minutes: skip
if last_forecast:
continue
# return it
retvals.append(station)
return retvals
def hourly(cls):
retvals = []
for station in weather.Station.all():
now = mytime.datetime.now()
# Make sure it is never request more than once every 30 minutes
timediff = now - mytime.timedelta(seconds=60 * 30)
last_forecast = models.Forecast.gql(
"WHERE station_id = :station_id AND \
tijdstip_datapunt > :timediff",
station_id=station.id,
timediff=timediff).get()
# There's already a forecast < 15 minutes: skip
if last_forecast:
continue
# return it
retvals.append(station)
return retvals
def bind(self, gegevens):
self.datapunt_van = mytime.datetime.fromtimestamp(float(gegevens['FCTTIME']['epoch']))
self.datapunt_tot = self.datapunt_van + mytime.timedelta(seconds=60*60)
self.tijdstip_datapunt = mytime.datetime.now()
self.weertype = gegevens['icon']
self.omschrijving = gegevens['condition']
self.temperatuur = float(gegevens['temp']['metric'])
self.gevoelstemperatuur = float(gegevens['feelslike']['metric'])
self.neerslagkans = float(gegevens['pop'])/100
try:
self.winterse_neerslag_in_mm = float(gegevens['snow']['metric'])
except ValueError:
self.winterse_neerslag_in_mm = 0.0
try:
self.neerslag_in_mm = float(gegevens['qpf']['metric'])
except ValueError:
self.neerslag_in_mm = 0.0
try:
self.bewolking = float(gegevens['sky'])/100
except ValueError:
self.bewolking = 0.0
self.zonkans = 1 - self.bewolking
self.windkracht = float(gegevens['wspd']['metric'])
self.windrichting = gegevens['wdir']['dir']
def link_forward(datum):
datum = datum + mytime.timedelta(days=1)
datum_str = jinja_filters.datestr(datum)
return (datum_str if datum_str else datum)
def link_forward(datum):
datum = datum + mytime.timedelta(days=1)
datum_str = jinja_filters.datestr(datum)
return (datum_str if datum_str else datum)
def link_back(datum):
datum = datum - mytime.timedelta(days=1)
datum_str = jinja_filters.datestr(datum)
return (datum_str if datum_str else datum)
def timedelta(date, *args, **kwargs):
return date + mytime.timedelta(*args, **kwargs)
def link_back(datum):
datum = datum - mytime.timedelta(days=1)
datum_str = jinja_filters.datestr(datum)
return (datum_str if datum_str else datum)
def timedelta(date, *args, **kwargs):
return date + mytime.timedelta(*args, **kwargs)
