def current_temp_will(self, message=None, location=None):
"""what's the temperature (in _______): I know how to tell you the temperature!"""
geolocator = Nominatim()
if location is None:
forecast = forecastio.load_forecast(FORECAST_API_KEY, LINCOLN_LAT, LINCOLN_LNG, units="us")
currently = forecast.currently()
temp = currently.temperature
feels_like = currently.apparentTemperature
combined = "It's currently %sF and feels like %sF here in Lincoln, NE" % (temp, feels_like)
self.save("local_temp", combined)
if message:
return self.say(combined, message=message)
else:
geolocation = geolocator.geocode(location)
lat = geolocation.latitude
lng = geolocation.longitude
forecast = forecastio.load_forecast(FORECAST_API_KEY, lat, lng, units="us")
currently = forecast.currently()
temp = currently.temperature
feels_like = currently.apparentTemperature
full_address = geolocation.address
combined = "It's currently %s degrees and feels like %s degrees in %s" % (temp, feels_like, full_address)
self.save(full_address + "_temp", combined)
if message:
self.say(combined, message=message)
def weather():
try:
forecast = forecastio.load_forecast(os.environ["forecastio_key"], request.query.lat, request.query.lng)
except: # For now, catch all errors; we should just catch Bottle HTTPErrors
forecast = forecastio.load_forecast(os.environ["forecastio_key"], UserConstants.DefaultLat, UserConstants.DefaultLng)
current_weather = forecast.currently().__dict__["d"]["summary"]
return SparkCoreConstants.WeatherStart + str(generate_return_str(current_weather)) + SparkCoreConstants.Delimiter
def test_invalid_key(self):
self.api_key = "not a real key"
try:
forecastio.load_forecast(self.api_key, self.lat, self.lng)
self.assertTrue(False) # the previous line should throw an exception
except requests.exceptions.HTTPError as e:
self.assertEqual(str(e), "403 Client Error: Forbidden")
def test_invalid_param(self):
self.lat = ""
try:
forecastio.load_forecast(self.api_key, self.lat, self.lng)
self.assertTrue(False) # the previous line should throw an exception
except requests.exceptions.HTTPError as e:
self.assertEqual(str(e), "400 Client Error: Bad Request")
def __init__(self, _id, _keyfile, _lat, _lng):
self.mod_id = _id
self.lat = _lat
self.lng = _lng
self.weather_font = font.Font("weathericons.ttf",300)
self.mod_rect = Rect((50,0), self.weather_font.size('\uf00d '))
with open(_keyfile, 'r') as f:
self.api = f.read()[:-1]
forecastio.load_forecast(self.api, self.lat, self.lng, units = "us", callback=self.request_callback)
def test_invalid_key(self):
self.api_key = 'not a real key'
try:
forecastio.load_forecast(
self.api_key, self.lat, self.lng
)
self.assertTrue(False) # the previous line should throw an exception
except requests.exceptions.HTTPError as e:
self.assertTrue(str(e).startswith('400 Client Error: Bad Request'))
def pullOne(tracker,location,timing,number):
readValues = dict()
values = tracker['values']
if type(timing) is str and timing != 'null':
timing = parser.parse(timing)
elif timing == 'null':
timing = datetime.datetime.now()
row = {'place':location['place'],'lat':location['lat'],'lon':location['lon']}
tries = 0
done = False
maxTries = 10
while not done and tries != maxTries:
if number == 'null':
login = tracker['login'][0]['key']
else:
login = random.choice(tracker['login'])['key']
time.sleep(random.uniform(0,2))
try:
if timing != 'null':
weatherIn = forecastio.load_forecast(login, location['lat'], location['lon'], timing)
else:
weatherIn = forecastio.load_forecast(login, location['lat'], location['lon'])
pulledWeather = eval("weatherIn."+tracker['timing'])
for valKey,value in values.iteritems():
try:
attribute = eval("pulledWeather."+value)
readValues[valKey] = attribute
except:
None
done = True
except:
if len(tracker['login'])>1:
print "Weather pull", tries, "failed, will sleep 30 seconds and retry with alternate key"
tries += 1
time.sleep(30)
else:
print "Weather pull", tries, "failed, will sleep for 5 minutes and try again"
tries += 1
time.sleep(300)
if tries == maxTries:
weatherIn = 'null'
print "Error: could not pull weather for", location['place'],time
return weatherIn , dict(row.items()+readValues.items())
def forecast(self, timely="current"):
cache_data = self.data_handler.read_cache()
user_location = self.profile.get_location()
parsed_user_location = parse.quote(user_location) # user_location is Korean
if parsed_user_location in cache_data:
address = cache_data[parsed_user_location]["address"]
lat = cache_data[parsed_user_location]["lat"]
lon = cache_data[parsed_user_location]["lon"]
else:
geolocator = Nominatim(user_agent="kino-bot")
location = geolocator.geocode(user_location)
address = location.address
lat = location.latitude
lon = location.longitude
self.data_handler.edit_cache(
(parsed_user_location, {"address": address, "lat": lat, "lon": lon})
)
api_key = Config.open_api.dark_sky.TOKEN
dark_sky = forecastio.load_forecast(api_key, lat, lon)
if timely == "current":
currently = dark_sky.currently()
self.__forecast(currently, timely, address)
elif timely == "daily":
hourly = dark_sky.hourly()
self.__forecast(hourly, timely, address)
elif timely == "weekly":
daily = dark_sky.daily()
self.__forecast(daily, timely, address)
def weather(query):
results = []
forecast = forecastio.load_forecast('fa4410dea9d5faaf6b54c606b9f2030c', *coord, units='si')
daily = forecast.daily()
if daily.data[0].time < datetime.datetime.now():
del daily.data[0]
# summary for this week
results.append({
"Title": 'This Week: {}'.format(daily.summary),
"SubTitle": '',
"IcoPath": icons_dir + icons.get(daily.icon, '')
})
# daily summary for the next 5 days
for day in daily.data[:5]:
results.append({
"Title": '{}: {}'.format(weekdays[day.time.weekday()], day.d['summary']),
"SubTitle": 'High: {}°C \tLow: {}°C \tPressure: {:.2f}mm \tWind: {}m/s \tRain: {}%'.format(
day.d['temperatureMax'], day.d['temperatureMin'], day.d['pressure']*0.7501, day.d['windSpeed'], day.d['precipProbability']*100),
"IcoPath": icons_dir + icons.get(day.d['icon'], '')
})
if not results:
results.append({
"Title": 'Not found',
"SubTitle": '',
"IcoPath":"Images/app.png"
})
return results
def handle(text, mic, profile):
"""
Responds to user-input, typically speech text, with a summary of
the relevant weather for the requested date (typically, weather
information will not be available for days beyond tomorrow).
Arguments:
text -- user-input, typically transcribed speech
mic -- used to interact with the user (for both input and output)
profile -- contains information related to the user (e.g., phone
number)
"""
api_key = profile['keys']['forecastio']
lat = profile['loc']['lat']
long = profile['loc']['long']
forecast_time = datetime.datetime.now()
if bool(re.search(r'\b(tonight)\b', text, re.IGNORECASE)):
forecast_time = datetime.datetime.combine(datetime.datetime.now().date(),datetime.time(hour=21))
elif bool(re.search(r'\b(tomorrow)\b', text, re.IGNORECASE)):
forecast_time = datetime.datetime.combine(datetime.datetime.now().date(),datetime.time(hour=12))
forecast_time = forecast_time + datetime.timedelta(days=1)
forecast = forecastio.load_forecast(api_key,lat, long,time=forecast_time)
response = "The forecast is " + forecast.currently().summary + " with a temperature of "
response = response + "%2d and a %2d percent chance of precipitation"
response = response % (forecast.currently().temperature, forecast.currently().precipProbability*100)
mic.say(response)
def main():
"""
Run load_forecast() with the given lat, lng, and time arguments.
"""
api_key = "e3f8667cb539171dc2f4b389d33648ce"
lat = -31.967819
lng = 115.87718
time = datetime.datetime(2015, 2, 27, 6, 0, 0)
forecast = forecastio.load_forecast(api_key, lat, lng, time=time)
print ("===========Currently Data=========")
print (forecast.currently())
print ("===========Hourly Data=========")
by_hour = forecast.hourly()
print ("Hourly Summary: %s" % (by_hour.summary))
for hourly_data_point in by_hour.data:
print (hourly_data_point)
print ("===========Daily Data=========")
by_day = forecast.daily()
print ("Daily Summary: %s" % (by_day.summary))
for daily_data_point in by_day.data:
print (daily_data_point)
def show_forecast():
dayToShow = 0
if(datetime.datetime.now().hour > 17):
dayToShow = 1
lcd.set_backlight(1)
lcd.show_cursor(True)
lcd.blink(True)
lcd.message("Fetching\nForecast")
time.sleep(1.0) # Sleep a second to build suspense, API is fast!
forecast = forecastio.load_forecast(forecastio_api_key, lat, lng)
current = forecast.currently()
temp = str(int(round(current.temperature)))
byDay = forecast.daily()
today = byDay.data[dayToShow]
summary = today.summary
line1 = today.time.strftime('%A')
hi = str(int(round(today.temperatureMax)))
lo = str(int(round(today.temperatureMin)))
line2 = temp + "F L:" +lo + " H:" + hi
lcd.clear()
lcd.message(line1 + "\n" + line2)
lcd.show_cursor(False)
lcd.blink(False)
time.sleep(5.0)
lcd.set_backlight(0)
lcd.clear()
def weather_alerts(self, forced=False):
if not forced:
if self.load("check_weather_alerts", False) is False:
return False
print "Checking for severe weather alerts"
current_alerts = self.load("current_alerts", {})
forecast = forecastio.load_forecast(FORECAST_API_KEY, LINCOLN_LAT, LINCOLN_LNG, units="us")
has_alerted = False
alerts = forecast.alerts()
if alerts:
for alert in alerts:
if str(alert.uri) not in current_alerts.keys():
if not has_alerted:
self.say(
"Severe Weather Alert(s) have been detected.",
room=self.available_rooms["Antitankcrew"],
color="red",
alert=True,
)
alert_say = (
"Title: %s"
"Expires: %s"
"Description: %s"
"More Information: %s" % (alert.title, alert.expires, alert.description, str(alert.uri))
)
current_alerts[str(alert.uri)] = alert.expires
self.say("/code " + alert_say, room=self.available_rooms["Antitankcrew"], color="red", notify=True)
else:
if current_alerts[str(alert.uri)] > time.time():
del current_alerts[str(alert.uri)]
self.save("current_alerts", current_alerts)
def download_weather_data(api_key, lat, lng,
weather_params,
start, number_days):
times = []
out = {k: [] for k in weather_params}
for offset in range(1, number_days):
print(start + datetime.timedelta(offset))
forecast = forecastio.load_forecast(
api_key, lat, lng, time=start + datetime.timedelta(offset),
units="us")
h = forecast.hourly()
d = h.data
for p in d:
times.append(p.time)
for param in weather_params:
if param in p.d:
out[param].append(p.d[param])
else:
out[param].append(np.NaN)
df = pd.DataFrame(out, index=times)
df = df.fillna(method='ffill')
df = df.tz_localize("Asia/Kolkata")
df = df.tz_convert("US/Central")
return df
def at_start(self):
if not self.db.API_key:
self.db.API_Key = 'e07c570e1f5f85a42dacce70bc6c63ce'
if not self.db.fogmessage:
self.db.fogmessage = ['A mist hangs over everything','The fog turns everything into murky shadows','You worry about your footing in the dense fog']
self.db.clearmessage = ['The bright sky feels light and carefree','The energy of the earth refreshes you','A clear day','Sunlight warms your face','The trees are bright and green','You hear the laughter of undergrads','You wish you had a frisbee']
self.db.cloudmessage = ['Clouds sweep across the sky.','A faint breeze is felt','A cloud in the distance reminds you of something','Tree branches creak and sway in the wind','A chill comes over you','You see a mountain in the distance']
self.db.rainmessage = ['The rain falls heavily on the ground','The dark clouds are pregnant with rain','The ground is slick, be careful','Rain, rain, go away, come again some other day']
self.db.snowmessage = ['White snow blankets the world','The cold bites at your face']
self.db.raremessage = ['You feel a pang of nostalgia','A faint smell reminds you of your mother','The air tastes like metal','You feel hopeless and lost','The meaninglessness of existence overcomes you','There\'s some trash on the ground','There doesn\'t seem to be anyone around','You notice the hum of electricity. Has it always been there?','The wounds of your childhood ache']
# search for veggies in room
veggies_in_room = [obj for obj in self.obj.contents_get() if utils.inherits_from(obj, objects.Vegetable)]
# if not veggies in room
if not veggies_in_room:
prototype = random.choice(self.db.available_veggies)
# use the spawner to create a new Vegetable from the spawner dictionary
veggie = spawn(objects.VEGETABLE_PROTOTYPES[prototype], prototype_parents=objects.VEGETABLE_PROTOTYPES)[0]
veggie.location = self.obj
veggiestring = ("A %s ripens" % veggie)
self.obj.msg_contents(veggiestring)
self.obj.msg_contents("DATA,obj_add," + veggie + veggie.dbref)
# if weather not set for room
if not self.db.cweather and self.db.location:
loc = self.obj.db.location.split(',')
# if location contains lat, lng
if len(loc)==2:
# Get Weather from Forecast.io
forecast = forecastio.load_forecast(self.db.API_Key, loc[0], loc[1])
# Extract and store current weather summary
self.obj.cweather = forecast.currently().summary
def update(self):
""" Gets the latest data from Forecast.io. """
forecast = forecastio.load_forecast(self._api_key,
self.latitude,
self.longitude)
self.data = forecast.currently()
def __init__(self, api_key, lat, lng):
"""
Initializes the WeatherForecast Class
"""
### Variables Taken ###
self.api_key = api_key
self.lat = lat
self.lng = lng
### Forecastio Related Variables to be Used ###
self.forecast = forecastio.load_forecast(self.api_key, self.lat, self.lng)
self.offset = self.forecast.offset()
self.hourlyForecast = self.forecast.hourly()
self.dailyForecast = self.forecast.daily()
self.currentForecast = self.forecast.currently()
### Initializing Variables to Return ###
self.maxTemp = None
self.minTemp = None
self.currentTemp = None
self.precipProb = None
self.dailySummary = None
self.currentTime = datetime.datetime.now().replace(second=0, microsecond=0)
self.precipProbability = []
self.maxPrecipProb = None
self.icon = None
def update(self):
"""Gets the latest data from Forecast.io."""
import forecastio
forecast = forecastio.load_forecast(self._api_key, self.latitude, self.longitude, units=self.units)
self.data = forecast.currently()
self.unit_system = forecast.json["flags"]["units"]
def compare_locations(current1, loc2):
lat2, lng2 = loc2
forecast2 = forecastio.load_forecast(api_key, lat2, lng2)
current2 = forecast2.currently()
index1 = weather_index(current1)
index2 = weather_index(current2)
return current2, index1/index2, current2.icon, current2.temperature
def setup_platform(hass, config, add_devices, discovery_info=None):
"""Get the Forecast.io sensor."""
import forecastio
if None in (hass.config.latitude, hass.config.longitude):
_LOGGER.error("Latitude or longitude not set in Home Assistant config")
return False
try:
forecast = forecastio.load_forecast(config.get(CONF_API_KEY, None), hass.config.latitude, hass.config.longitude)
forecast.currently()
except ValueError:
_LOGGER.error("Connection error " "Please check your settings for Forecast.io.")
return False
if "units" in config:
units = config["units"]
elif hass.config.temperature_unit == TEMP_CELCIUS:
units = "si"
else:
units = "us"
data = ForeCastData(config.get(CONF_API_KEY, None), hass.config.latitude, hass.config.longitude, units)
dev = []
for variable in config["monitored_conditions"]:
if variable not in SENSOR_TYPES:
_LOGGER.error('Sensor type: "%s" does not exist', variable)
else:
dev.append(ForeCastSensor(data, variable))
add_devices(dev)
def loadForecast(self, request):
if self.isCasheValid():
return Forecast.cashe
else:
#print "Expunging weather cashe"
try:
lat=request.POST['lat']
lng = request.POST['lng']
except KeyError:
raise Http404("bad request")
forecast = forecastio.load_forecast(API_KEY, lat, lng)
#Forecast.cashe=forecast
#Forecast.cashe.time=datetime.datetime.now()
unit = forecast.json.get("flags")["units"]
if unit.lower() == 'us':
self.tm = "F"
self.windUnits = "MPH"
elif unit.lower() == 'si':
self.tm = "C"
self.windUnits = "M/S"
elif unit.lower() == "ca":
self.tm = "C"
self.windUnits = "Km/H"
elif unit.lower() == "uk2":
self.tm = "C"
self.windUnits = "MPH"
else:
print "Units are as follows.", units
self.tm, self.windUnits = "Error", "Error"
return forecast
def get_forecast(socketio, app):
ret = None
api_key = app.config.get('FORECASTIO_API_KEY', None)
lat = 40.5621700
lng = -111.9296580
if not api_key:
return 'forecast', None
try:
forecast = forecastio.load_forecast(api_key, lat, lng)
fc_hour = [hour.d for hour in forecast.hourly().data]
fc_day = [day.d for day in forecast.daily().data]
except Exception as e:
raise e
else:
ret = {
'fc_now': forecast.currently().d,
'fc_day': fc_day,
'fc_hour': fc_hour
}
return 'forecast', ret
def test_with_time(self):
forecast = forecastio.load_forecast(
self.api_key, self.lat,
self.lng, time=self.time
)
self.assertEqual(forecast.response.status_code, 200)
def get_weather():
url = "http://ip-api.com/json/"
if request.headers.getlist("X-Forwarded-For"):
ip = request.headers.getlist("X-Forwarded-For")[0]
else:
ip = request.remote_addr
# uncomment for local testing
# ip = "2601:602:9804:4396:8d29:6f17:a182:e8ed"
list = []
r = requests.get(url+ip)
json_string = json.dumps(r.json())
json_obj = json.loads(json_string)
if json_obj['status'] == "fail" :
return [url+ip, emojify("Something went wrong :bee: :sunny: :umbrella:")]
forecast = forecastio.load_forecast(api_key, json_obj['lat'], json_obj['lon'])
current = forecast.currently()
if "Rain" not in current.summary:
list.append(emojify(":sunny: It's Not Raining :sunny:"))
else:
list.append(emojify(":umbrella: It's Raining :umbrella:"))
list.append(json_obj['city'])
list.append(forecast.minutely().summary)
list.append(forecast.hourly().summary)
list.append(forecast.currently().temperature)
return list
def main():
"""
Run load_forecast() with the given lat, lng, and time arguments.
"""
api_key = "YOUR API KEY"
lat = -31.967819
lng = 115.87718
time = datetime.datetime(2015, 2, 27, 6, 0, 0)
forecast = forecastio.load_forecast(api_key, lat, lng, time=time)
print "===========Currently Data========="
print forecast.currently()
print "===========Hourly Data========="
by_hour = forecast.hourly()
print "Hourly Summary: %s" % (by_hour.summary)
for hourly_data_point in by_hour.data:
print hourly_data_point
print "===========Daily Data========="
by_day = forecast.daily()
print "Daily Summary: %s" % (by_day.summary)
for daily_data_point in by_day.data:
print daily_data_point
def fuckingweather(bot, trigger):
forecast = forecastio.load_forecast(API_KEY, lat, lng)
now = forecast.currently()
if now.icon in responses:
bot.reply(responses[now.icon])
else:
bot.reply("I have no f*****g clue!")
def __init__(self, api_key, latitude, longitude, **kwargs):
"""Initializes an instance of the ForecastIO wrapper"""
self._api_key = api_key
self._latitude = latitude
self._longitude = longitude
self._forecast = forecastio.load_forecast(
self._api_key, self._latitude, self._longitude)
def fetch_weather(city, gdate, gtime):
# Preparing Date, Time data for API calls
(month, day, year) = map(int, gdate.split('/'))
(hour, minute) = map(int, (gtime.split())[0].split(':'))
# Handling AM/PM
if (gtime.split())[1] == 'PM':
if hour != 12:
hour += 12
# Geo Location of a given city
geoloc = googv3.geocode(city)
# Time Zone for a given Latitude & Longitude
tz = googv3.timezone((geoloc.latitude, geoloc.longitude))
#print city, tz
logger.debug('City: %s, Time Zone: %s', city, tz)
# Date in UTC Format
date = datetime.datetime(year, month, day, hour, minute)
#print date
logger.debug('Date: %s', date)
# Get Weather Information for given location & time
forecast = forecastio.load_forecast(forecastIO_api_key, geoloc.latitude,\
geoloc.longitude, time=date)
forecast_data = forecast.currently()
#print forecast_data.d
return forecast_data.d
def process_input(location):
""" Takes and address string and displays a weather profile """
# geolocate address from supplied address string
geolocator = Nominatim()
try:
target_location = geolocator.geocode(location, timeout=5)
print "Target Location : " + target_location.address
print "Co-ordinates ({0}, {1})".format(target_location.latitude, target_location.longitude)
except GeocoderTimedOut:
print "Error: Geocode failed due to timeout. Please try again in a few minutes"
# Load API key
api_key = fetch_api_key()
# Load weather for location provided
weather_forecast = forecastio.load_forecast(api_key, target_location.latitude, target_location.longitude)
# Process Current weather
hourly_weather = weather_forecast.hourly()
hourly_table = PrettyTable()
for hourly_data in hourly_weather.data[0:5]:
hourly_table.add_column(hourly_data.time.strftime('%H:%M:%S'), [hourly_data.summary])
print "Current Weather:"
print hourly_table
# Process weekly forecast
daily_weather = weather_forecast.daily()
forecast_table = PrettyTable(["Date", "Forecast Summary"])
for daily_data in daily_weather.data:
forecast_table.add_row([daily_data.time.strftime('%m/%d/%Y'), daily_data.summary])
print "Forecast for the next few days"
print forecast_table
def main():
"""Get the current forecast from Forecast.io."""
# Read the config file and get the goodies
config = configparser.ConfigParser()
config.read('../config/config.ini')
# Set all of the variables we need for Forecast.io
api_key = config['Forecastio']['api_key']
lat = config['Forecastio']['default_lat']
lon = config['Forecastio']['default_lon']
# Authenticate with Forecast.io and get the current forecast
try:
f = forecastio.load_forecast(api_key, lat, lon)
forecast = f.daily()
# Get the forecast summary
f_summary = forecast.data[0].summary[:-1].lower()
# Get the rest of the temps for the day
f_min_temp = int(round(forecast.data[0].temperatureMin))
f_max_temp = int(round(forecast.data[0].temperatureMax))
# Create the forecast
print("It is going to be {} with temperatures between {} and {}"
" degrees".format(f_summary, f_min_temp, f_max_temp))
except:
print("nable to retrieve the current weather forecast")
def getForecasts(lat, lng, forecast_key, city, Job_Dir, out_file):
logging.info('====== Started fetching forecasts: {} ======='.format(
city.title()))
print("Started fetching forecasts for " + city.title() +
' ({}, {})'.format(lat, lng))
#utcnow is a naive datetime, so have to set the timezone to utc
current_time = datetime.datetime.utcnow().replace(tzinfo=tz.utc)
#forecast io returns weather data for time provided and 24 hrs before,
#so we request 29 days back instead of 30
date = 365 * 4 #download four years of data when first starting a city
start = (current_time - datetime.timedelta(days=date)).replace(
minute=0, second=0, microsecond=0)
endtime = (current_time + datetime.timedelta(days=0)).replace(
minute=0, second=0, microsecond=0)
i = 0
window_count = 0
json = []
timezone = None
while i <= (
date + 0
): #looks up forecasts for each hour for (date+0) days - date days in the past and 0 days in the future
hour = 0
lookUpTime = start + datetime.timedelta(days=i)
forecast = forecastio.load_forecast(forecast_key,
lat,
lng,
time=lookUpTime)
timezone = forecast.json['timezone']
for hourlyData in forecast.hourly().data:
thisHour = hourlyData.time.replace(tzinfo=tz.utc)
if thisHour < start or thisHour >= endtime:
#Forecast.io returns data starting from midnight prior to the day requested.
#Some of this might be extraneous, so must check to see if the time
#of the hourly object is before the start time. Note start time is
#one day ahead.
continue
window = int(
ceil((thisHour - current_time).total_seconds() /
SECONDSPERHOUR))
if window >= 0:
window_count += 1
json.append({
'hournumber':
hour,
'year':
current_time.year,
'wind_speed':
getAttr(hourlyData, 'windSpeed', 0),
'hr':
thisHour,
'relative_humidity':
getAttr(hourlyData, 'humidity', 0) * 100,
'drybulb_fahrenheit':
getAttr(hourlyData, 'temperature', 0),
'hourly_precip':
getAttr(hourlyData, 'precipIntensity', 0),
'precip_probability':
getAttr(hourlyData, 'precipProbability', 0),
'apparent_temperature':
getAttr(hourlyData, 'apparentTemperature', 0),
'weather_type':
getAttr(hourlyData, 'icon', 0),
'dew_point':
getAttr(hourlyData, 'dewPoint', 0),
'wind_gust':
getAttr(hourlyData, 'windGust', 0),
'wind_bearing':
getAttr(hourlyData, 'windBearing', 0),
'visibility':
getAttr(hourlyData, 'visibility', 0),
'cloud_cover':
getAttr(hourlyData, 'cloudCover', 0),
'pressure':
getAttr(hourlyData, 'pressure', 0),
'dod1_drybulb_fahrenheit':
0,
'dod2_drybulb_fahrenheit':
0,
'dod3_drybulb_fahrenheit':
0,
'wow1_drybulb_fahrenheit':
0,
'wow2_drybulb_fahrenheit':
0,
'hour_count_since_precip':
-1,
'precip_hour_cnt_in_last_1_week':
0,
'precip_hour_cnt_in_last_1_day':
0,
'precip_hour_cnt_in_last_3_day':
0,
'window':
int(window)
})
hour += 1
i += 1
df = pd.DataFrame(json)
#iterates from 720 to 791, the weather forecasts for the next 3 days
relevant = len(df) - len(df[df['window'] >= 0])
##STP: drop 109-146
# #legacy code... not sure what is going on
# for i in range(relevant, len(df)):
# df.ix[i,'dod1_drybulb_fahrenheit'] = df.ix[
# i,'drybulb_fahrenheit'] - df.ix[i-24,'drybulb_fahrenheit']
# df.ix[i,'dod2_drybulb_fahrenheit'] = df.ix[
# i,'drybulb_fahrenheit'] - df.ix[i-48,'drybulb_fahrenheit']
# df.ix[i,'dod3_drybulb_fahrenheit'] = df.ix[
# i,'drybulb_fahrenheit'] - df.ix[i-72,'drybulb_fahrenheit']
# df.ix[i,'wow1_drybulb_fahrenheit'] = df.ix[
# i,'drybulb_fahrenheit'] - df.ix[i-168,'drybulb_fahrenheit']
# df.ix[i,'wow2_drybulb_fahrenheit'] = df.ix[
# i,'drybulb_fahrenheit'] - df.ix[i-336,'drybulb_fahrenheit']
# for j in range(1,i):
# if df.ix[i - j,'hourly_precip'] > .001:
# df.ix[i,'hour_count_since_precip'] = j
# break
# precip_1wk_cnt = 0
# precip_1d_cnt = 0
# precip_3d_cnt = 0
# for k in range(1, 168):
# if df.ix[i - k,'hourly_precip'] > .001:
# if k <= 24:
# precip_1d_cnt += 1
# precip_1wk_cnt+=1
# precip_3d_cnt+=1
# elif k <= 72:
# precip_1wk_cnt+=1
# precip_3d_cnt+=1
# else:
# precip_1wk_cnt+=1
# df.ix[i,'precip_hour_cnt_in_last_1_week'] = precip_1wk_cnt
# df.ix[i,'precip_hour_cnt_in_last_1_day'] = precip_1d_cnt
# df.ix[i,'precip_hour_cnt_in_last_3_day'] = precip_3d_cnt
# # not sure what this was doing, but it doesn't make sense
# # changing it to all rows >= 0, which keeps all rows for the next 72 hrs
# # old: df = df[(df['window'] >= -5) & (df['window'] < 66)]
# df = df[(df['window'] >= 0)]
# df = df.drop('window', 1)
# Make sure the local timezone is used.
localTime = current_time.astimezone(tz.timezone(timezone))
df['prediction_timestamp'] = localTime.strftime('%b %d, %Y %H:%M')
local_tz = tz.timezone(timezone)
df.index = df['hr']
df['hr'] = df.index.tz_convert(local_tz)
df['prediction_timestamp'] = localTime.strftime('%b %d, %Y %H:%M')
df[[
'hr', 'wind_speed', 'relative_humidity', 'hourly_precip',
'drybulb_fahrenheit', 'precip_probability', 'apparent_temperature',
'weather_type', 'dew_point', 'wind_gust', 'wind_bearing', 'visibility',
'cloud_cover', 'pressure'
]].to_csv(Job_Dir + '/weather.csv', index=False)
def answer_message(self, slack_event):
event_type = slack_event["event"]["type"]
user_id = slack_event["event"]["user"]
channel = slack_event["event"]["channel"]
incoming_message = slack_event["event"]["text"]
message_words = re.sub(r"[^\w]", " ", incoming_message).split()
if len(set(message_words).intersection(set(offensive_words))) > 0:
self.client.api_call("chat.postMessage",
channel=channel,
username=self.name,
as_user=self.as_user,
text="Cuida tu lenguaje, <@%s> https://media.giphy.com/media/GBIzZdF3AxZ6/giphy.gif" % user_id
)
return
if self.is_channel(channel) and event_type == "message":
return
if any(s in incoming_message.upper() for s in next_event_messages):
next_event = self.next_event()
self.client.api_call("chat.postMessage",
channel=channel,
username=self.name,
as_user=self.as_user,
text="El próximo evento será el viernes %s de 18:30 hasta las 20:30" % next_event.strftime(
"%d de %B")
)
elif any(s in incoming_message.upper() for s in forescat_messages):
next_event = self.next_event()
forecast = forecastio.load_forecast(key=config.get(
"forecast.io", "secret_key"), lat=santander[0], lng=santander[1], lang="es", time=datetime.datetime.combine(next_event, datetime.time(18, 30, 0)))
text = "Viernes %s // %s // ↑ %sºC - ↓ %sºC" % (next_event.strftime("%d de %B"), forecast.daily(
).data[0].summary, int(round(forecast.daily().data[0].temperatureHigh)), int(round(forecast.daily().data[0].temperatureLow)))
self.client.api_call("chat.postMessage",
channel=channel,
username=self.name,
as_user=self.as_user,
text=text
)
elif any(s in incoming_message.upper() for s in greetings_messages):
self.client.api_call("chat.postMessage",
channel=channel,
username=self.name,
as_user=self.as_user,
text="Hola %s" % self.get_username(user_id)
)
elif any(s in incoming_message.upper() for s in thanks_messages):
self.client.api_call("chat.postMessage",
channel=channel,
username=self.name,
as_user=self.as_user,
text="Las que tu tienes"
)
elif any(s in incoming_message.upper() for s in goodbyes_messages):
self.client.api_call("chat.postMessage",
channel=channel,
username=self.name,
as_user=self.as_user,
text="Hasta la próxima"
)
else:
buttonUrl = 'https://www.google.com/search?q=%s' % incoming_message.replace(
" ", "+")
self.client.api_call("chat.postMessage",
channel=channel,
username=self.name,
as_user=self.as_user,
text='Me he quedado sin palabras, pero Google seguramente sepa la respuesta.',
attachments=[{
'fallback': buttonUrl,
'actions': [{'type': 'button', 'text': 'Buscar :mag:', 'url': buttonUrl, 'style': 'primary'}]
}]
)
return
def get_temperature():
forecast = load_forecast(API_KEY, 52.0056394, 4.351788)
return forecast.currently().temperature
b.get_api() b.set_light(3, 'on', True) b.set_light(3, 'sat', 255) b.set_light(3, 'bri', 255) b.set_light(2, 'on', True) b.set_light(2, 'sat', 255) b.set_light(2, 'bri', 255) counter = 0 api_key = "14240dd5d3bf601df4eb9fee104134cc" lat = 41.909506 lng = -87.685113 forecast = forecastio.load_forecast(api_key, lat, lng, time=None, units="us") current = forecast.currently() currentTemp = current.temperature condition = current.icon #icons icon_clear_day = "clear-day" icon_rain = "rain" icon_snow = "snow" icon_sleet = "sleet" icon_wind = "wind" icon_fog = "fog" icon_cloudy = "cloudy" icon_partly_cloudy_day = "partly-cloudy-day" # for min1 in byHour.data:
def getCurrentTemp():
forecast = forecastio.load_forecast(api_key, lat, lng)
byHour = forecast.hourly()
return forecast.currently().temperature
AppConfig(new_app, configfile)
return new_app
# Loads settings from default_config.py, then from a .cfg file specified in DOORBOARD_CONFIG env var,
# then from any environment variables prefixed with DOORBOARD_
app = create_app()
app.secret_key = app.config.get('SECRET_KEY') or os.urandom(24)
api_key = app.config.get('FORECASTIO_API_KEY')
home = (app.config.get('HOME_LAT'), app.config.get('HOME_LONG'))
update_delay = datetime.timedelta(seconds=app.config.get('UPDATE_DELAY'))
last_updated = datetime.datetime.now() - update_delay
last_weather = forecastio.load_forecast(api_key, *home)
def update_weather():
global last_weather, last_updated
if last_updated + update_delay <= datetime.datetime.now():
try:
last_updated = datetime.datetime.now()
last_weather = forecastio.load_forecast(api_key, *home)
except Exception:
pass
@app.template_filter('dayname')
def dayname(date):
loc = " ".join(sys.argv[1:])
geo = geocoder.google(loc)
else:
geo = loc.getLoc()
if not geo.ok:
print("Couldn't find location.")
quit()
header = '========= Forecast for {}, {} =========='
print(header.format(geo.city, geo.state))
key = "df74ca2b28b972e0782399de41a31256"
forecast = forecastio.load_forecast(key,
geo.latlng[0],
geo.latlng[1],
units='us')
temp = int(forecast.currently().temperature)
d = forecast.daily()
now = datetime.datetime.now().day
for df in d.data:
date = u'\033[1mTODAY: {}\N{DEGREE SIGN}'.format(temp)
if (now != df.time.day):
date = df.time.strftime('%a %b %d')
high = int(df.temperatureMax)
low = int(df.temperatureMin)
fmt = u'{} {}\N{DEGREE SIGN}-{}\N{DEGREE SIGN} {}\033[0m'
print(fmt.format(date, high, low, df.summary))
def displayWeather(self, timeFrameUserVal):
textReturn = ""
api_key = "ece623732956ab6653653c4cec4247fa"
#load the forcast for the latitute and longitude
forecast = forecastio.load_forecast(api_key, self.lat, self.lng)
timeFrameUser = timeFrameUserVal #"today"
#Based on what time frame the user chose, display weather
if timeFrameUser == "hourly":
timeFrame = forecast.hourly()
textReturn += timeFrame.summary
self.jsonObj[0]["summary"] = str(timeFrame.summary)
textReturn += "\n"
textReturn += timeFrame.icon
self.jsonObj.append({ "summary" : str(timeFrame.summary) , "icon" : str(timeFrame.icon) })
textReturn += "\n\n"
listOfTemps = []
numHour = 0
textReturn += "Hourly temperature for today"
for onePieceData in timeFrame.data:
if numHour < 24:
numHour += 1
textReturn += "Time: " + str(numHour) + "\n"
textReturn += str(onePieceData.temperature) + "\n"
self.jsonObj.append({ str(numHour) + "Hr" : str(onePieceData.temperature) , "icon" : str(timeFrame.icon)})
elif timeFrameUser == "today":
listOfTemps = []
numHour = 0
timeFrame = forecast.currently()
textReturn += timeFrame.summary + "\n"
textReturn += timeFrame.icon + "\n"
textReturn += "average temperature for the day: " + str(timeFrame.temperature)
self.jsonObj.append({ "summary" : str(timeFrame.summary), "icon" : str(timeFrame.icon), "avg" : str(timeFrame.temperature) })
timeFrame = forecast.hourly()
for onePieceData in timeFrame.data:
if numHour < 24:
numHour += 1
listOfTemps.append(str(onePieceData.temperature))
textReturn += "\n" + "min value for today : " + str(min(listOfTemps)) + "\n"
textReturn += "max value for today : " + str(max(listOfTemps))
self.jsonObj.append({ "min" : str(min(listOfTemps)), "max" : str(max(listOfTemps)) })
elif timeFrameUser == "weekly":
timeFrame = forecast.daily()
textReturn += timeFrame.summary + "\n"
textReturn += timeFrame.icon
self.jsonObj.append({ "summary" : str(timeFrame.summary), "icon" : str(timeFrame.icon) })
else:
textReturn += "Format of your text should be 'WEATHER: hourly' or 'WEATHER: today' or 'WEATHER: weekly'"
if textReturn == "":
self.jsonObj.append({ "success" : "false" })
else:
self.jsonObj.append({ "success" : "true" })
return textReturn
def get_current():
fio = forecastio.load_forecast(FORECAST_API_KEY, HOME_LAT, HOME_LONG)
now = fio.currently()
return now.d
from secrets import *
import tweepy
import forecastio
import time
auth = tweepy.OAuthHandler(C_KEY, C_SECRET)
auth.set_access_token(A_TOKEN, A_TOKEN_SECRET)
api = tweepy.API(auth)
latitude = 40.98
longitude = -73.81
#load forecast for specific latitude and longitude
forecast = forecastio.load_forecast(api_key, latitude, longitude)
byDay = forecast.daily()
tweet = (byDay.summary)
api.update_status(tweet, latitude, longitude)
#print(api.me())
#print(api.verify_credentials())
#print(api.rate_limit_status())
my_file = open('primes1.txt', 'r')
file_lines = my_file.readlines()
ForecastTime = now.strftime("%Y-%m-%d %H:%M")
''' Set the start date to either a specific day or a specific lag '''
#a = datetime.date(2014,12,1)
a = datetime.datetime.today() - datetime.timedelta(1)
numdays = 7 # Set the number of days to pull in the future
'''Set the Date array'''
dateList = []
for x in range(0, numdays):
dateList.append(a + datetime.timedelta(
days=x)) # Can change the '+' to '-' to pull historical
'''Loop through the locations and dates'''
temps = []
for i in range(len(locations)):
for dates in dateList:
forecast = forecastio.load_forecast(api_key, lats[i], lngs[i], dates)
byHour = forecast.hourly()
for hourlyData in byHour.data:
try:
temps.append({
'ForecastDate':
ForecastTime,
'Time':
hourlyData.time.strftime("%Y-%m-%d %H:%M:%S"),
'Location':
locations[i],
'Temp':
hourlyData.temperature,
'DewPoint':
def start(lat, lng, item):
api_key = open("apikey").read(300)
forecast = forecastio.load_forecast(api_key, lat, lng)
makeForecast(forecast, item)
def get_weather(api_key, lat, lng):
forecast = forecastio.load_forecast(api_key, lat, lng).currently()
return print("It is currently % degrees." % (forecast.temperature))
def get_forecast():
return forecastio.load_forecast(api_key, lat, lng)
def writeEvent(lat, lng, year, month, day, outcome):
lat = lat
lng = lng
year = year
month = month
day = day
outcome = outcome
windGust = []
temperature = []
dewPoint = []
humidity = []
apparentTemperature = []
pressure = []
windSpeed = []
visibility = []
precipIntensity = []
precipProbability = []
# Day before from 2pm - midnight
date = datetime(year, month, day) - timedelta(1)
forecast = forecastio.load_forecast(api_key,
lat,
lng,
time=date,
units="us")
h = forecast.hourly()
for y in range(14, 24):
if (len(h.data) <= y):
print("Not enough data for " + str(month) + "/" + str(day - 1) +
"/" + str(year))
return
data = h.data[y].d
x = data.get('windGust', "none")
if (x == "none"):
x = 0
print("No data for windGust for " + str(month) + "/" +
str(day - 1) + "/" + str(year) + " Hour " + str(y))
windGust.append(x)
x = data.get('temperature', "none")
if (x == "none"):
x = 40
print("No data for temperature for " + str(month) + "/" +
str(day - 1) + "/" + str(year) + " Hour " + str(y))
temperature.append(x)
x = data.get('dewPoint', "none")
if (x == "none"):
x = 35
print("No data for dewPoint for " + str(month) + "/" +
str(day - 1) + "/" + str(year) + " Hour " + str(y))
dewPoint.append(x)
x = data.get('humidity', "none")
if (x == "none"):
x = .5
print("No data for humidity for " + str(month) + "/" +
str(day - 1) + "/" + str(year) + " Hour " + str(y))
humidity.append(x)
x = data.get('apparentTemperature', "none")
if (x == "none"):
x = 40
print("No data for apparentTemperature for " + str(month) + "/" +
str(day - 1) + "/" + str(year) + " Hour " + str(y))
apparentTemperature.append(x)
x = data.get('pressure', "none")
if (x == "none"):
x = 1013
print("No data for pressure for " + str(month) + "/" +
str(day - 1) + "/" + str(year) + " Hour " + str(y))
pressure.append(x)
x = data.get('windSpeed', "none")
if (x == "none"):
x = 1
print("No data for windSpeed for " + str(month) + "/" +
str(day - 1) + "/" + str(year) + " Hour " + str(y))
windSpeed.append(x)
x = data.get('visibility', "none")
if (x == "none"):
x = 9.997
print("No data for visibility for " + str(month) + "/" +
str(day - 1) + "/" + str(year) + " Hour " + str(y))
visibility.append(x)
x = data.get('precipIntensity', "none")
if (x == "none"):
x = 0
print("No data for precipIntensity for " + str(month) + "/" +
str(day - 1) + "/" + str(year) + " Hour " + str(y))
precipIntensity.append(x)
x = data.get('precipProbability', "none")
if (x == "none"):
x = 0
print("No data for precipProbability for " + str(month) + "/" +
str(day - 1) + "/" + str(year) + " Hour " + str(y))
precipProbability.append(x)
# Day of from midnight to 3 pm
date = datetime(year, month, day)
forecast = forecastio.load_forecast(api_key,
lat,
lng,
time=date,
units="us")
h = forecast.hourly()
for y in range(0, 15):
if (len(h.data) <= y):
print("Not enough data for " + str(month) + "/" + str(day) + "/" +
str(year) + str(y))
return
data = h.data[y].d
x = data.get('windGust', "none")
if (x == "none"):
x = 0
print("No data for windGust for " + str(month) + "/" + str(day) +
"/" + str(year) + " Hour " + str(y))
windGust.append(x)
x = data.get('temperature', "none")
if (x == "none"):
x = 40
print("No data for temperature for " + str(month) + "/" +
str(day) + "/" + str(year) + " Hour " + str(y))
temperature.append(x)
x = data.get('dewPoint', "none")
if (x == "none"):
x = 35
print("No data for dewPoint for " + str(month) + "/" + str(day) +
"/" + str(year) + " Hour " + str(y))
dewPoint.append(x)
x = data.get('humidity', "none")
if (x == "none"):
x = .5
print("No data for humidity for " + str(month) + "/" + str(day) +
"/" + str(year) + " Hour " + str(y))
humidity.append(x)
x = data.get('apparentTemperature', "none")
if (x == "none"):
x = 40
print("No data for apparentTemperature for " + str(month) + "/" +
str(day) + "/" + str(year) + " Hour " + str(y))
apparentTemperature.append(x)
x = data.get('pressure', "none")
if (x == "none"):
x = 1013
print("No data for pressure for " + str(month) + "/" + str(day) +
"/" + str(year) + " Hour " + str(y))
pressure.append(x)
x = data.get('windSpeed', "none")
if (x == "none"):
x = 1
print("No data for windSpeed for " + str(month) + "/" + str(day) +
"/" + str(year) + " Hour " + str(y))
windSpeed.append(x)
x = data.get('visibility', "none")
if (x == "none"):
x = 9.997
print("No data for visibility for " + str(month) + "/" + str(day) +
"/" + str(year) + " Hour " + str(y))
visibility.append(x)
x = data.get('precipIntensity', "none")
if (x == "none"):
x = 0
print("No data for precipIntensity for " + str(month) + "/" +
str(day) + "/" + str(year) + " Hour " + str(y))
precipIntensity.append(x)
x = data.get('precipProbability', "none")
if (x == "none"):
x = 0
print("No data for precipProbability for " + str(month) + "/" +
str(day) + "/" + str(year) + " Hour " + str(y))
precipProbability.append(x)
# Write data to csv
data = []
data.extend(windGust)
data.extend(temperature)
data.extend(dewPoint)
data.extend(humidity)
data.extend(apparentTemperature)
data.extend(pressure)
data.extend(windSpeed)
data.extend(visibility)
data.extend(precipIntensity)
data.extend(precipProbability)
data.append(day)
data.append(month)
data.append(outcome)
writer.writerow(data)
print("Success for " + str(month) + "/" + str(day) + "/" + str(year))
print(str(len(data)) + " data points")
def get_weather():
forecast = forecastio.load_forecast(weather_api, 42.3591473,
-71.09677909999999)
weather_now = forecast.currently().summary
return weather_now
def insert_data_for_date(self, date):
print("Adding weather for date: %s" % (date))
dt = datetime(year=date.year,
day=date.day,
month=date.month,
hour=BEST_HOUR)
nodes = models.Node.objects.filter(include_weather=True)
forecasts = []
for node in nodes:
print('adding weather for node %s' % node.name)
latitude = node.latitude
longitude = node.longitude
future_dt = dt + timedelta(days=1)
forecast = forecastio.load_forecast(api_key,
latitude,
longitude,
time=future_dt)
by_hour = forecast.hourly()
for hour_block in by_hour.data:
print(loader_utils.utc_to_eastern(hour_block.time))
print(hour_block.__dict__)
eastern_dt = loader_utils.utc_to_eastern(hour_block.time)
hour = eastern_dt.hour
if hour == 0:
eastern_dt = eastern_dt - timedelta(days=1)
hour = 24
print(dt)
print(future_dt)
print(eastern_dt)
w = models.WeatherForecast(
prediction_made_dt=dt,
predicted_hour=hour,
predicted_date=eastern_dt,
latitude=latitude,
longitude=longitude,
cloud_cover=hour_block.cloudCover if hasattr(
hour_block, "cloudCover") else 0,
apparent_temp=hour_block.apparentTemperature,
pressure=hour_block.pressure if hasattr(
hour_block, "pressure") else 0,
visibility=hour_block.visibility if hasattr(
hour_block, "visibility") else 0,
summary=hour_block.summary,
temperature=hour_block.temperature,
dew_point=hour_block.dewPoint if hasattr(
hour_block, "dewPoint") else 0,
humidity=hour_block.humidity if hasattr(
hour_block, "humidity") else 0,
ozone=hour_block.ozone
if hasattr(hour_block, "ozone") else 0,
wind_speed=hour_block.windspeed if hasattr(
hour_block, "windspeed") else 0,
wind_bearing=hour_block.windBearing if hasattr(
hour_block, "windBearing") else 0,
precip_intensity=hour_block.precipIntensity if hasattr(
hour_block, "precipIntensity") else 0,
precip_probability=hour_block.precipProbability if hasattr(
hour_block, "precipProbability") else 0,
)
forecasts.append(w)
models.WeatherForecast.objects.bulk_create(forecasts)
import forecastio
import requests
import json
API_KEY = "f5af7c9d5dcae926c4e5fcf75ea35dc6"
send_url = "http://ip-api.com/json"
r = requests.get(send_url)
j = json.loads(r.text)
latitude = j['lat']
longitude = j['lon']
print("current latitude, longitude is ", latitude, longitude)
forecast = forecastio.load_forecast(API_KEY, latitude, longitude)
#print(forecast)
#j = json.loads(forecast.text)
datapoint = forecast.currently()
print(datapoint.summary)
print(datapoint.temperature)
print(datapoint.precipProbability)
def assistant(command):
"if statements for executing commands"
if 'open' in command:
if 'C drive' in command:
os.startfile('C:\\')
say('Done!')
if 'D drive' in command:
os.startfile('D:\\')
say('Done!')
if 'quora' in command:
webbrowser.open('www.quora.com')
say('Done!')
if 'facebook' in command:
webbrowser.open('www.facebook.com')
say('Done!')
if '.com' in command:
sf = re.split('\\bopen \\b', command)[-1]
f = sf.replace(' ', '')
greet = 'I have opened ' + f
say(greet)
webbrowser.open('www.' + f)
else:
sf = re.split('\\bopen\\b', command)[-1]
greet = 'I have opened ' + sf
say(greet)
os.system('start' + sf)
elif 'quit' in command:
exit()
elif "time" in command:
say(ctime())
elif 'what up' in command:
say('Just doing my thing')
elif 'joke' in command:
res = requests.get('https://icanhazdadjoke.com/',
headers={"Accept": "application/json"})
if res.status_code == requests.codes.ok:
say(str(res.json()['joke']))
else:
say('oops!I ran out of jokes')
elif 'weather' in command:
forecast = forecastio.load_forecast(wapi_key, lat, lng)
byHour = forecast.hourly()
say(byHour.summary)
elif "where is" in command:
data = re.split('\\bis \\b', command)[-1]
l2 = data
location = data.replace(' ', '+')
mixer.music.load('blank.mp3')
say("Hold on, I will show you where " + l2 + " is.")
webbrowser.open('https://www.google.nl/maps/place/' + location +
'/&')
time.sleep(4)
else:
response = chatbot.get_response(command)
answer = str(response)
say(answer)
def _get_forecast_io(self):
return forecastio.load_forecast(self.api_key,
self.lat,
self.lng,
units=self.units)
import forecastio
from locationutil import location_to_latlong
api_key = ""
latlong = location_to_latlong('erie, colorado')
forecast = forecastio.load_forecast(api_key, latlong[0], latlong[1])
print("===========Currently Data=========")
print(forecast.currently())
print("===========Hourly Data=========")
by_hour = forecast.hourly()
print("Hourly Summary: %s" % by_hour.summary)
for hourly_data_point in by_hour.data:
print(hourly_data_point)
print("===========Daily Data=========")
by_day = forecast.daily()
print("Daily Summary: %s" % (by_day.summary))
for daily_data_point in by_day.data:
print(daily_data_point)
def updateWeather(self):
''' icon:
clear-day, clear-night, rain, snow, sleet, wind, fog,
cloudy, partly-cloudy-day, or partly-cloudy-night
*precipProbability:
0 to 1
**precipType:
rain, snow, sleet
temperature:
float
apparentTemperature:
feels like (float)
*windSpeed:
float
**windBearing:
0 = True North -> clockwise
cloudCover:
0 to 1
humidity:
0 to 1
Table: hourlyWeather
Columns:
date
icon
temperature
apparentTemperature
windSpeed
windBearing
cloudCover
humidity
precipProbability
precipType
Table: dailyWeather
Columns:
date
tempMin
tempMinTime
tempMax
tempMaxTime
moonPhase
'''
if self.config['weather_enabled']:
try:
if (datetime.now() - self.lastWeatherUpdate).seconds > 3600:
self.lastWeatherUpdate = datetime.now()
#timezone offset for weather forecast
utcDelta = (datetime.now() - datetime.utcnow())
utcDelta = timedelta(
utcDelta.days,
utcDelta.seconds + int(utcDelta.microseconds / 500000),
0)
forecast = forecastio.load_forecast(
self.config['api_key'],
self.config['latitude'],
self.config['longitude'],
units=("us" if self.config['units'] == 'F' else "si"))
hourly = forecast.hourly()
hours = []
for data in hourly.data:
t = data.time + utcDelta
precipType = data.precipType if data.precipProbability else "N/A"
windBearing = data.windBearing if data.windSpeed else "N/A"
hours.append(
(t, data.icon, data.temperature,
data.apparentTemperature, data.windSpeed,
windBearing, data.cloudCover, data.humidity,
data.precipProbability, precipType, data.uvIndex))
# keep weather data for a month
self.logsCursor.execute(
"DELETE FROM hourlyWeather where date NOT IN (SELECT date from hourlyWeather ORDER BY date DESC LIMIT 750)"
)
self.logsCursor.executemany(
"INSERT OR REPLACE INTO hourlyWeather VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
hours)
self.logsConn.commit()
daily = forecast.daily()
days = []
for data in daily.data:
alerts = ""
for alert in forecast.alerts():
if data.time.date() <= datetime.fromtimestamp(
alert.expires).date():
alerts += "<span class=\"alertTitle\">{0}</span> \
<p class=\"alertBody\">{1}</p>".format(
alert.title, alert.description)
alerts = "<div id=\"weatherAlerts\">" + alerts + "</div>" if alerts else None
for entry in [
'sunriseTime', 'sunsetTime',
'temperatureMinTime', 'temperatureMaxTime'
]:
data.d[entry] = data.d.get(entry, None)
if data.d[entry]:
data.d[entry] = datetime.fromtimestamp(
data.d[entry])
days.append(
(data.time.date(), data.d.get('icon', None),
data.d.get('summary', None),
data.d.get('temperatureMin',
None), data.d['temperatureMinTime'],
data.d.get('temperatureMax',
None), data.d['temperatureMaxTime'],
data.d['sunriseTime'], data.d['sunsetTime'],
data.d.get('moonPhase', None),
data.d.get('precipProbability',
None), data.d.get('windSpeed', None),
data.d.get('windBearing',
None), data.d.get('humidity', None),
data.d.get('ozone',
None), data.d.get('pressure', None),
data.d.get('cloudCover',
None), data.d.get('visibility',
None), alerts))
self.logsCursor.execute(
"DELETE FROM hourlyWeather where date NOT IN (SELECT date from hourlyWeather ORDER BY date DESC LIMIT 400)"
)
self.logsCursor.executemany(
"INSERT OR REPLACE INTO dailyWeather VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
days)
self.logsConn.commit()
except:
print("Error while getting weather info:", sys.exc_info()[0])
def weatherFormat(name, lat, lng):
forecast = forecastio.load_forecast(api_key, lat, lng)
forecast_now = forecast.currently()
forecast_today = forecast.daily().data[0]
out = []
data = []
out.append(name)
data.append(forecast_now.summary)
hi = tempColor(forecast_today.temperatureMax)
lo = tempColor(forecast_today.temperatureMin)
data.append('Hi: {:s} °F | Lo: {:s} °F'.format(hi, lo))
temp = forecast_now.temperature
feels_like = forecast_now.apparentTemperature
temp_str = tempColor(temp)
feels_like_str = tempColor(feels_like)
if (abs(temp - feels_like) > 1.0):
data.append('Currently: {:s} ({:s}) °F'.format(temp_str,
feels_like_str))
else:
data.append('Currently: {:s} °F'.format(temp_str))
try:
wind_bearing_str = angleArrow(forecast_now.windBearing)
except:
wind_bearing_str = ''
wind_speed_str = windColor(forecast_now.windSpeed)
data.append('{:s} {:s} mph'.format(wind_bearing_str, wind_speed_str))
data.append('{:.1f} mi.'.format(forecast_now.visibility))
try:
precip_accumulation = forecast_now.precipAccumulation
except:
precip_accumulation = 0.0
data.append('{:.1f} in. | {:.0f}%'.format(
precip_accumulation, forecast_now.precipProbability * 100.0))
icon = weather_graphic.get(forecast_now.icon, weather_graphic['unknown'])
icon_padded_width = 15
icon_default_width = len(ansi_escape.sub('', icon[0]))
for i in range(max(len(icon), len(data))):
if (i >= len(icon)):
data[i] = ' ' * icon_padded_width + data[i].strip()
elif (i >= len(data)):
data.append(icon[i])
else:
data[i] = icon[i] + \
(icon_padded_width - icon_default_width) * ' ' + data[i]
for line in data:
out.append(line)
return out
def test_without_time(self):
forecast = forecastio.load_forecast(self.api_key, self.lat, self.lng)
self.assertEqual(forecast.response.status_code, 200)
del datatemp[0]
del datatemp[len(datatemp) - 1]
del datahumid[0]
del datahumid[len(datahumid) - 1]
# We should now look at the data and remove any highs or lows possibly
# TODO: some basic data manipulations
capture_time = time.strftime('%Y-%m-%d %H:%M:%S')
datatemp = np.array(map(float, datatemp))
datahumid = np.array(map(float, datahumid))
insidetemp = round(Decimal(np.average(datatemp)), 1)
insidehumid = round(Decimal(np.average(datahumid)), 1)
forecast = forecastio.load_forecast(APIKEY, LAT, LOG)
curforecast = forecast.currently()
forecast_icon = curforecast.icon
forecast_outside_temp = convertFtoC(curforecast.temperature)
forecast_outside_humid = convertHumidPercent(curforecast.humidity)
forecast_outside_apparent_temp = convertFtoC(
curforecast.apparentTemperature)
# Let's insert our data in mysql
# Support multiple databases ?
def do(self, entities):
forecast = forecastio.load_forecast(os.environ['FORECASTIO_KEY'],
entities['coords'].latitude,
entities['coords'].longitude)
entities['weather'] = [forecast.hourly().summary]
return entities
import forecastio
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
api_key = "cb91f1d7b02d54aa27438663b43dee23"
lat = 37.967819
lng = 112.87718
forecast = forecastio.load_forecast(api_key, lat, lng)
byHour = forecast.hourly()
#print(byHour.summary)
#print(byHour.icon)
a = []
for hourlyData in byHour.data:
a.append(hourlyData.temperature)
#print(hourlyData.temperature)
x = list(range(49))
y = a
plt.plot(x,y)
plt.xlabel('hour')
plt.ylabel('Celsius')
plt.title('The temperature in the next 48 hours from now')
plt.yticks([15, 19, 23, 27, 31])
plt.grid(True)
#plt.show()
plt.savefig("./Figure_1.png")
def main():
api_key = "YOUR_FORECAST.IO_API_KEY"
lat = 51.477
lng = 0.0000
forecast = forecastio.load_forecast(api_key, lat, lng)
by_day = forecast.daily()
# Open SVG to process
output = codecs.open('weather-script-preprocess.svg',
'r',
encoding='utf-8').read()
# Insert icons and temperatures
output = output.replace('ICON_ONE', by_day.data[0].icon).replace(
'ICON_TWO', by_day.data[1].icon).replace('ICON_THREE',
by_day.data[2].icon).replace(
'ICON_FOUR',
by_day.data[3].icon)
output = output.replace(
'HIGH_ONE', str(int(round(by_day.data[0].temperatureMax)))).replace(
'HIGH_TWO',
str(int(round(by_day.data[1].temperatureMax)))).replace(
'HIGH_THREE',
str(int(round(by_day.data[2].temperatureMax)))).replace(
'HIGH_FOUR',
str(int(round(by_day.data[3].temperatureMax))))
output = output.replace(
'LOW_ONE', str(int(round(by_day.data[0].temperatureMin)))).replace(
'LOW_TWO', str(int(round(by_day.data[1].temperatureMin)))).replace(
'LOW_THREE',
str(int(round(by_day.data[2].temperatureMin)))).replace(
'LOW_FOUR', str(int(round(by_day.data[3].temperatureMin))))
#insert summary of day text
summary = textwrap.wrap(forecast.hourly().summary, 55)
wrappedsummary = summary[0]
# the pre-process svg file has space for three lines of text. ANy more and we cut it off
if len(summary) > 1:
wrappedsummary = wrappedsummary + '<tspan x="25" dy="25">' + summary[
1] + '</tspan>'
if len(summary) > 2:
wrappedsummary = wrappedsummary + '<tspan x="25" dy="25">' + summary[
2] + '</tspan>'
output = output.replace('TODAY_SUMMARY', wrappedsummary)
# Insert days of week
output = output.replace('DAY_THREE',
by_day.data[2].time.strftime('%A')).replace(
'DAY_FOUR', by_day.data[3].time.strftime('%A'))
#Insert timestamp
output = output.replace('DATE_TIME', strftime("%H:%M %d/%m", gmtime()))
# Write output
codecs.open('weather-script-output.svg', 'w',
encoding='utf-8').write(output)
def get_weather(lat, lng):
forecast = forecastio.load_forecast(api_key, lat, lng)
byHour = forecast.hourly()
return byHour.data
def forecast(lat=37.512, lng=126.954):
forecast = forecastio.load_forecast(FORECAST_TOKEN, lat, lng)
byHourly = forecast.hourly()
return byHourly.summary