def Producer():
moList = [] #build the list to be serialized
for i in location: #iterate through all the locations
city, postcode, lat, lon = club_location(
i) # import location details from 'reference.py'
x = M.nearest_loc_forecast(
float(lat), float(lon),
metoffer.THREE_HOURLY) #location specific, 3 hourly forecast
y = metoffer.parse_val(x)
myDict = y.data #data retrieved from MetOffice
tempDict = {}
for m in myDict: #iterate through all the days
itemp = {
m['timestamp'][0]: {
'temp': m['Temperature'][0],
'ftemp': m['Feels Like Temperature'][0],
'weathertype': weathertype[str(m['Weather Type'][0])],
'gwind': m['Wind Gust'][0],
'swind': m['Wind Speed'][0],
'precip_prob': m['Precipitation Probability'][0],
'rain': '',
'location': i
}
}
tempDict.update(itemp)
moList.append(
tempDict) #list of dictionaries from a single API request
return moList
def background(self):
import metoffer
api_key = "f2ef8ecf-175f-491d-aea1-93a38209bd55"
M = metoffer.MetOffer(api_key)
#x = M.nearest_loc_forecast(51.4033, -0.3375, metoffer.THREE_HOURLY)
x = M.nearest_loc_forecast(51.5252257441084, -0.134831964969635,
metoffer.DAILY)
self.y = metoffer.parse_val(x)
self.tagline = "Live from the Met Office"
def getTemperatures():
print "getTemperatures start"
api_key = '35d53d57-9aa0-45de-9772-0871f0ceffda'
M = metoffer.MetOffer(api_key)
x = M.nearest_loc_forecast(52.2793,-1.5803, metoffer.THREE_HOURLY)
y = metoffer.parse_val(x)
print "data retrieved"
for i in y.data:
print("{} - {}".format(i["timestamp"][0].strftime("%d %b, %H:%M"), i["Temperature"][0]))
print "getTemperatures end"
return y.data
def met(): #retrieve 5-day information
key = '568fbf63-75c5-451e-a282-1388c877e60b'
try:
M = metoffer.MetOffer(key)
x = M.nearest_loc_forecast(53.4840, -2.2440, metoffer.THREE_HOURLY)
y = metoffer.parse_val(x)
weatherData = [y.name] #weather forecast data
for i in y.data:
a = ("{}-{}".format(i["timestamp"][0].strftime("%D %b, %H:%M"),
metoffer.WEATHER_CODES[i["Weather Type"][0]]) +
" " + str(i["Temperature"][0]))
weatherData.append(a)
return weatherData
except Exception, e:
return 0
def checkWeather():
global weatherType
global weatherTemp
global weatherPrecip
global weatherHumidity
print "Checking The Weather"
locationForecast = M.nearest_loc_forecast(51.4033, -0.3375, metoffer.THREE_HOURLY)
parsed = metoffer.parse_val(locationForecast)
timeNow = time.strftime("%H")
dateNow = time.strftime("%d %b")
for i in parsed.data:
#if timeNow == i["timestamp"][0].strftime("%d %b %H"):
# print "GOT IT"
#print i["timestamp"][0].strftime("%d %b %H")
if dateNow == i["timestamp"][0].strftime("%d %b"):
plusOne = int(timeNow) -1
plusTwo = int(timeNow) -2
if timeNow == i["timestamp"][0].strftime("%H"):
print "the hour is the same on this day, so happy!"
print i["timestamp"][0].strftime("%d %b %H:%M")
weatherType = i["Weather Type"][0]
weatherTemp = i["Temperature"][0]
weatherPrecip = i["Precipitation Probability"][0]
weatherHumidity = i["Screen Relative Humidity"][0]
elif str(plusOne) == i["timestamp"][0].strftime("%H"):
print "the hour is +1 on the same day, Happy this is the right one"
print i["timestamp"][0].strftime("%d %b %H:%M")
weatherType = i["Weather Type"][0]
weatherTemp = i["Temperature"][0]
weatherPrecip = i["Precipitation Probability"][0]
weatherHumidity = i["Screen Relative Humidity"][0]
elif str(plusTwo) == i["timestamp"][0].strftime("%H"):
print "the hour is +2 on the same day, Happy this is the right one"
print i["timestamp"][0].strftime("%d %b %H:%M")
weatherType = i["Weather Type"][0]
weatherTemp = i["Temperature"][0]
weatherPrecip = i["Precipitation Probability"][0]
weatherHumidity = i["Screen Relative Humidity"][0]
def getforecast(self):
# 354077 is ID for Wantage
try:
self.data = metoffer.parse_val(self.M.loc_forecast("354077", metoffer.THREE_HOURLY)).data
except:
print datetime.datetime.now().ctime()
traceback.print_exc()
self.temps = [t["Temperature"][0] for t in self.data]
self.times = [(t["timestamp"][0] - datetime.datetime.now()).total_seconds() for t in self.data]
self.types = [t["Weather Type"][0] for t in self.data]
# 0 clear night, 1 sunny day, 3 partially cloudy day, 7 cloudy
f = numpy.interp([3600 * 5, 3600 * 6], self.times, self.temps)
self.futuretemp = f[0]
self.futuregrad = f[1] - f[0]
self.futuretype = self.types[(numpy.abs(numpy.array(self.times) - 3600 * 5)).argmin()]
xiv.queue("future_temp", round(float(self.futuretemp), 2))
xiv.queue("future_grad", round(float(self.futuregrad), 2))
xiv.queue("future_type", self.futuretype)
def __init__(
self, sLocation, dLatitude, dLongitude, sMetApiKey,
sMeasurementType): # This is run when an onject is first created
self.sLocation = sLocation
self.dLatitude = dLatitude
self.dLongitude = dLongitude
self.sMetApiKey = sMetApiKey
self.sMeasurementType = sMeasurementType
oMet = metoffer.MetOffer(sMetApiKey)
if self.sMeasurementType == 'nearest_loc_obs':
self.dicWeatherData = oMet.nearest_loc_obs(
self.dLatitude, self.dLongitude
) # This finds the nearest observation station of which there are not that many so your data may be inaccruate.
if self.sMeasurementType == 'nearest_loc_forecast':
self.dicWeatherData = oMet.nearest_loc_forecast(
dLatitude, dLongitude, metoffer.THREE_HOURLY
) # This gives forecast data for the given area.
self.oWeatherReport = metoffer.parse_val(self.dicWeatherData)
import metoffer api_key = '7fe18ea6-ca0d-4952-b166-aa0a0ae19ffb' M = metoffer.MetOffer(api_key) x = M.nearest_loc_forecast(51.215340, -0.602149, metoffer.THREE_HOURLY) y = metoffer.parse_val(x) z = y.data[0] print(z)
def getNearestLocationData(lat, lon, apikey):
M = metoffer.MetOffer(apikey)
data = M.nearest_loc_forecast(lat, lon, metoffer.THREE_HOURLY)
data = metoffer.parse_val(data)
return data
