def five_day(location):
''' Get each weather forecast for the corrosponding coordinates
:param coords: the latitude and longitude for which that that weather is
being forecasted
:type coords: tuple containing the latitude and logitude for the forecast
:return casts: the five day, every three hours, forecast for the zip code
:type casts: list of Weather objects
'''
owm = OWM(masta_key)
Forecast = get_data_from_weather_api(owm, location).get_forecast()
forecast = json.loads(Forecast.to_JSON())
casts = [
] # This is for the weather objects created in the for loop below.
for data in forecast['weathers']:
# Make an _id for the next Weather to be created, create the weather,
# append it to the casts list.
instant = data['reference_time']
casts.append(Weather(location, 'forecast', data))
return casts
# from Extract.make_instants import find_data
# # set database and collection for testing
# database = 'test'
# collection = 'instant_temp'
# # create a dict to hold the instants pulled from the database
# instants = {}
# data = find_data(client, database, collection)
# # add each doc to instants and set its key and _id to the same values
# for item in data:
# instants[f'{item["_id"]}'] = item['_id']
def five_day(coords, code=None):
''' Get each weather forecast for the corrosponding coordinates
:param coords: the latitude and longitude for which that that weather is
being forecasted
:type coords: tuple containing the latitude and logitude for the forecast
:return five_day: the five day, every three hours, forecast for the zipcode
:type five_day: dict
'''
owm = OWM(masta_key)
Forecast = get_data_from_weather_api(owm, coords=coords).get_forecast()
forecast = json.loads(Forecast.to_JSON())
if code:
forecast['zipcode'] = code
if coords:
forecast['coordinates'] = coords
forecast.pop('Location')
forecast.pop('interval')
reception_time = forecast['reception_time'] # to add to weathers array
for cast in forecast['weathers']:
cast['zipcode'] = forecast['zipcode']
cast['instant'] = cast.pop('reference_time')
cast['time_to_instant'] = cast['instant'] - reception_time
return forecast
def five_day(location):
''' Get each weather forecast for the corrosponding coordinates
:param coords: the latitude and longitude for which that that weather is
being forecasted
:type coords: tuple containing the latitude and logitude for the forecast
:return casts: the five day, every three hours, forecast for the zip code
:type casts: list of Weather objects
'''
owm = OWM(masta_key)
Forecast = get_data_from_weather_api(owm, location).get_forecast()
forecast = json.loads(Forecast.to_JSON())
casts = [
] # This is for the weather objects created in the for loop below.
for data in forecast['weathers']:
# Make an _id for the next Weather to be created, create the weather,
# append it to the casts list.
instant = data['reference_time']
casts.append(Weather(location, 'forecast', data))
return casts