def root( ):
if request.method=="POST":
city=request.form["city"]
while " " in city:
city=city[:city.find(" ")]+"_"+city[city.find(" ")+1:]
else:
city="New_York_City"
temp = util.get_weather(city)
temp = (temp-273.15)*1.8+32
while "_" in city:
city=city[:city.find("_")]+" "+city[city.find("_")+1:]
if temp <=0:
planet = "Pluto"
elif temp >0 and temp <= 20:
planet = "Uranus"
elif temp >20 and temp <= 40:
planet = "Neptune"
elif temp >40 and temp <= 50:
planet = "Saturn"
elif temp >50 and temp <= 60:
planet = "Mars"
elif temp >60 and temp <= 70:
planet = "Earth"
elif temp >70 and temp <= 80:
planet = "Mercury"
elif temp > 80 and temp <= 90:
planet = "Venus"
elif temp > 90 and temp <= 100:
planet = "Jupiter"
elif temp >100:
planet = "Sun"
d = { 'city':city, 'temp':temp }
return render_template( 'index.html', d = d, planet = planet)
def handle(self, handler_input):
# type: (HandlerInput) -> Response
logger.info("In GoOutIntentHandler")
local_time, current_temp, current_condition = util.get_weather(
data.CITY_DATA, data.MY_API)
speech = "It is {} and the weather in {} is {} and {}.".format(
local_time, data.CITY_DATA["city"], current_temp,
current_condition)
handler_input.response_builder.speak(speech)
return handler_input.response_builder.response
def index(city="nyc"):
temp = util.get_weather(city)
photos = util.get_turtles()[0:10];
d={'city':city,'temp':temp,'photos':photos}
return render_template("index.html",d=d)
# import list of locations
df_stations = pd.read_csv(station_path)
stations = df_stations.StationID
print('Fetching the following stations...')
print(df_stations)
# Station ID for the locations of interest
stationid = 'GHCND:MXM00076680'
datasetid = 'GHCND'
# urls
base_url_data = 'https://www.ncdc.noaa.gov/cdo-web/api/v2/data'
df_weather = pd.DataFrame()
# fetch data from NOAA and store in csv
for s in stations:
for i in np.arange(0, 12):
start = begin_date + datetime.timedelta(weeks=int(i * 4))
end = start + datetime.timedelta(weeks=4)
d = get_weather(stationid=s,
datasetid=datasetid,
datatype='PRCP',
start_date=start.strftime('%Y-%m-%d'),
end_date=end.strftime('%Y-%m-%d'),
token=myToken,
base_url=base_url_data)
df_weather = df_weather.append(d, ignore_index=True)
# Write to CSV
df_weather.to_csv('out/2017_raw_weather_data.csv')
