class WeatherAgent:
"""
Class for get operations on weather based on city.
"""
__props_path__ = os.path.join("resources", "properties.json")
def __init__(self):
self.properties = {}
with open(WeatherAgent.__props_path__, "r") as props:
self.properties = json.load(props)
self.weatherbit_key = self.properties["weatherbit_api_key"]
self.weather_api = Api(self.weatherbit_key)
def get_weather_by_city(self, city):
"""
Get the current weather details for a city.
:param city:
:return: Weather json
"""
current = self.weather_api.get_current(city=city)
#print(current.json)
return current.json
def get_avg_temp_for_city(self, city):
"""
Function that returns the average temperature for city provided.
:param city: <City>,<State> e.g. Boston,MA
:return: Temperature in Celcius
"""
end_date = datetime.date.today()
start_date = end_date - datetime.timedelta(1)
# Converting to the eventually expected formatted string to bypass date.hour check.
# 'hour' somehow is not a part of the 'datetime.date'
end_date = end_date.strftime('%Y-%m-%d:%H')
start_date = start_date.strftime('%Y-%m-%d:%H')
history = self.weather_api.get_history(city=city,
start_date=start_date,
end_date=end_date)
history_json = history.json
# Getting average from all sources.
sum = 0
for data_item in history_json["data"]:
sum += data_item["temp"]
avg = sum / len(history_json["data"])
return avg
# Will only affect forecast requests.
api.set_granularity('daily')
# Query by lat/lon
# forecast = api.get_forecast(lat=lat, lon=lon)
# You can also query by city:
# forecast = api.get_forecast(city="Raleigh,NC")
# Or City, state, and country:
forecast = api.get_forecast(city="Raleigh", state="North Carolina",
country="US")
# To get a daily forecast of temperature, and precipitation:
print(forecast.get_series(['temp', 'precip']))
# Get daily history by lat/lon:
api.set_granularity('daily')
history = api.get_history(lat=lat, lon=lon, start_date='2018-02-01',
end_date='2018-02-02')
# To get a daily time series of temperature, precipitation, and rh:
print(history.get_series(['precip', 'temp', 'rh']))
# Get hourly history by lat/lon
api.set_granularity('hourly')
history = api.get_history(lat=lat, lon=lon, start_date='2018-02-01',
end_date='2018-02-02')
# To get an hourly time series of temperature, precipitation, and rh:
print(history.get_series(['precip', 'temp', 'rh']))