def forecast_update2(site_key):
site = Site.get_by_key_name(site_key)
if site is None:
return Response(status=404)
forecast_url = "http://www.metoffice.gov.uk/public/data/PWSCache/BestForecast/Forecast/%s?format=application/json" % site_key
result = urlfetch.fetch(forecast_url)
if result.status_code == 200:
forecast = parse_forecast(result.content)
issued_date = parse_date(forecast["@dataDate"])
for date, data in timesteps(forecast):
forecast_timestep = ForecastTimestep.find_by_site_and_dates(
site, date, issued_date)
if forecast_timestep is None:
forecast_timestep = ForecastTimestep(
site=site,
forecast_datetime=date,
issued_datetime=issued_date,
forecast_date=date.date())
for k, v in data.items():
prop_name = snake_case(k)
if hasattr(forecast_timestep, prop_name):
if v == "missing":
v = None
setattr(forecast_timestep, prop_name, v)
forecast_timestep.save()
return Response(status=204)
def forecast_update2(site_key):
site = Site.get_by_key_name(site_key)
if site is None:
return Response(status = 404)
forecast_url = "http://www.metoffice.gov.uk/public/data/PWSCache/BestForecast/Forecast/%s?format=application/json" % site_key
result = urlfetch.fetch(forecast_url)
if result.status_code == 200:
forecast = parse_forecast(result.content)
issued_date = parse_date(forecast["@dataDate"])
for date, data in timesteps(forecast):
forecast_timestep = ForecastTimestep.find_by_site_and_dates(site, date, issued_date)
if forecast_timestep is None:
forecast_timestep = ForecastTimestep(site = site, forecast_datetime = date, issued_datetime = issued_date, forecast_date = date.date())
for k,v in data.items():
prop_name = snake_case(k)
if hasattr(forecast_timestep, prop_name):
if v == "missing":
v = None
setattr(forecast_timestep, prop_name, v)
forecast_timestep.save()
return Response(status = 204)
