def get_weather():
weather_df = Yr(location_name='Norge/Trøndelag/Trondheim/Trondheim')
now_df = weather_df.now() # henter værdata fra Yr
temp_val = int(pd.DataFrame(now_df)['temperature']['@value']) # finner luft temeperaturen
wind_val = float(pd.DataFrame(now_df)['windSpeed']['@mps']) # finner vindfart
# wind_dir = float(pd.DataFrame(now_df)['windDirection']['@deg'])
precipitation_val = float(pd.DataFrame(now_df)['precipitation']['@value']) # finner regn
#Sends temp, windspeed and precipitation to CoT
token = 'eyJhbGciOiJIUzI1NiJ9.eyJqdGkiOiI1NzUxIn0.DeRcDo1IRe0fFV_IEw8WyUbEd02hwzWikjARXvc2oEE'
temp_key = '12583'
temp_data = {'Key': temp_key, 'Value': temp_val, 'Token': token} # sender lufttemp til CoT
t_put = requests.put('https://circusofthings.com/WriteValue',
data = json.dumps(temp_data),
headers={'Content-Type': 'application/json'})
wind_key = '8760'
wind_data = {'Key': wind_key, 'Value': wind_val, 'Token': token} # sender vindfart til CoT
w_put = requests.put('https://circusofthings.com/WriteValue',
data = json.dumps(wind_data),
headers={'Content-Type': 'application/json'})
precipitation_key = '6464'
precipitation_data = {'Key': precipitation_key, 'Value': precipitation_val, 'Token': token} # sender regn til CoT
p_put = requests.put('https://circusofthings.com/WriteValue',
data = json.dumps(precipitation_data),
headers={'Content-Type': 'application/json'})
#sende data til cot
def weather_data():
# Henter temperaturen og værtypen fra yr for videre bruk for å finne værfaktor og modul effektivitet
weather_json = Yr(location_name="Norge/Trøndelag/Trondheim/Trondheim"
) # henter vær data fra Yr
now_json = weather_json.now()
temp_now = int(
pd.DataFrame(now_json)["temperature"]["@value"]) # temperatur
cloud_typ = (pd.DataFrame(now_json)["symbol"]["@name"]) # skydekke
return [temp_now, cloud_typ]
def __init__(self, codigo):
site = locationSite(codigo)
weather = Yr(site)
main = weather.now()
if (main):
self.wdb.setMeasure('pressure' , main['pressure'] ['@value'] )
self.wdb.setMeasure('temperature' , main['temperature'] ['@value'] )
self.wdb.setMeasure('weatherMain' , main['symbol'] ['@name'] )
self.wdb.setMeasure('windSpeed' , float(main['windSpeed'] ['@mps']) * 3.6)
self.wdb.setMeasure('windMain' , main['windSpeed'] ['@name'] )
self.wdb.setMeasure('windDegrees' , main['windDirection']['@deg'] )
self.wdb.setMeasure('rainProbability' , main['precipitation']['@value'] )
self.wdb.setMeasureClean()
class YrNow(object):
def __init__(self, city):
self.weather = Yr(location_name=city)
self.now = self.weather.now()
self.symbol = self.now['symbol']['@var']
self.precipitation = self.now['precipitation']['@value']
self.windDirection = self.now['windDirection']['@code']
self.windSpeed = self.now['windSpeed']['@mps']
self.temperature = self.now['temperature']['@value']
self.pressure = self.now['pressure']['@value']
if self.windDirection in wind_direction_arrow.keys():
self.wind_direction_arrow_icon = wind_direction_arrow[
self.windDirection]
else:
self.wind_direction_arrow_icon = ''
def __str__(self):
return f"Сейчас 🌡 {self.temperature}°C, Давление {self.pressure}, ☂️ {self.precipitation}мм, "\
f"🌬 {self.wind_direction_arrow_icon} {self.windSpeed}м/с\n\n"
def importForcastTodayFromYrInJson(self, place_string):
"""Import 8todays forcast from Yr.no in json file.
Parameters:
place_string (string):
The place to get the forecast from.
Format: "Land/Fylke/Kommune/Stedsnavn/"
Example: "Norge/Trøndelag/Trondheim/Trondheim/"
Returns:
genarator:forecast
"""
weather_import = Yr(location_name=place_string)
weather_now_json = weather_import.now(as_json=True)
weather_now = json.loads(weather_now_json)
print(weather_now)
return weather_now
def heating_house(): #assume 2 panel ovens (Living room and hallway)
weather_df = Yr(location_name='Norge/Trøndelag/Trondheim/Trondheim')
now_df = weather_df.now()
date = dt.datetime.now().strftime('%d-%m-%y') # henter vær og dato
temp_df = pd.read_csv('temp_csv/Heating_Room.csv',
index_col='Date').at[date,
'Temp'] # henter temperatur
temp_val = sum(temp_df) / len(temp_df)
temp_val = int(pd.DataFrame(now_df)['temperature']
['@value']) # finner lufttemperatur som heltall
if temp_val < 22: # finner ut hvor mye energi som brukes til oppvarming
energy_house = (room_heating * (22 - temp_val)) * 2
else:
energy_house = 0
if temp_val < 28:
energy_bath = (room_heating * (28 - temp_val))
else:
energy_bath = 0
return [energy_house, energy_bath]
def yr(what, county, municipality, name):
""" Downloads data from yr.no
@todo: Should fix units
@todo: Should be based on locations and/or clubs default location in clubs '/yr/wind/375-F'
"""
yrpath = ("Norge/%s/%s/%s" % (county, municipality, name))
weather = Yr(location_name=yrpath)
if what == 'now':
return weather.now(as_json=True)
elif what == 'forecast':
return jsonify(**weather.dictionary['weatherdata']['forecast'])
elif what == 'wind':
wind_speed = dict()
wind_speed['wind_forecast'] = [{'from': forecast['@from'], 'to': forecast['@to'], '@unit': 'knots', 'speed': round(float(forecast['windSpeed']['@mps']) * 1.943844, 2)} for forecast in
weather.forecast()]
return jsonify(**wind_speed)
def yr(what, county, municipality, name):
""" Downloads data from yr.no
@todo: Should fix units
@todo: Should be based on locations and/or clubs default location in clubs '/yr/wind/375-F'
"""
yrpath = ("Norge/%s/%s/%s" % (county, municipality, name))
weather = Yr(location_name=yrpath)
if what == 'now':
return weather.now(as_json=True)
elif what == 'forecast':
return jsonify(**weather.dictionary['weatherdata']['forecast'])
elif what == 'wind':
wind_speed = dict()
wind_speed['wind_forecast'] = [{'from': forecast['@from'], 'to': forecast['@to'], 'unit': 'knots',
'speed': round(float(forecast['windSpeed']['@mps']) * 1.943844, 2)} for forecast
in
weather.forecast()]
return jsonify(**wind_speed)
#!/usr/bin/python3
# pip3 install python-yr
from yr.libyr import Yr
weather = Yr(location_name='Germany/Berlin/Berlin')
data = weather.now()
weather = data['symbol']['@name']
temperature = data['temperature']['@value']
print("<fc=#FFFFFF>%s %s °C</fc>" % (weather, temperature))
def heating_bedroom():
# Henter værdata for tiden akkurat nå fra yr.
weather_df = Yr(location_name='Norge/Trøndelag/Trondheim/Trondheim')
now_df = weather_df.now()
# Trekker ut utetemperaturen som skal brukes til å regne strømforbruk.
temp_val = int(pd.DataFrame(now_df)['temperature']['@value'])
# Definerer oppvarmingskoeffisient i kWh/(C*h).
# Brukes for å finne strømforbruket for den gjellende timen basert på utetemp.
room_heating = 0.0146 #kWh/(C*h)
# Definerer den gjellenge dagen
date = dt.datetime.now().strftime("%d-%m-%y")
# Definerer den gjellende timen
hour = int(dt.datetime.now().strftime("%H"))
# Definerer signal key for termostat temperaturen og hjemme status som hentes fra CoT.
temp_key = '6074'
room_key = '15089'
# Definerer token for å hente info fra CoT
token = 'eyJhbGciOiJIUzI1NiJ9.eyJqdGkiOiI1NzUxIn0.DeRcDo1IRe0fFV_IEw8WyUbEd02hwzWikjARXvc2oEE'
# Henter ut termostat verdien celsius til soverommet fra CoT
# og lagrer verdien i en variabel som skal brukes for å finne strømforbruket.
t = requests.get('https://circusofthings.com/ReadValue',
params={
'Key': temp_key,
'Token': token
})
temp_room = round(json.loads(t.content)['Value'])
# Henter ut hjemme status verdien til soverommet fra CoT
# og lagrer verdien i en variabel som skal brukes for å finne strømforbruket. (1 = hjemme, 0 = borte)
r = requests.get('https://circusofthings.com/ReadValue',
params={
'Key': room_key,
'Token': token
})
ishome = json.loads(r.content)['Value']
# Finner strømforbruket på dagen (kl. 07:00 til 23:00) når beboeren er hjemme
if ishome == 1 and hour != 23 and hour not in range(0, 8):
# Hvis termostaten har blitt satt til 0 betyr det at ovnen er skrudd av og bruker ikke strøm.
if (temp_room == 0):
energy_bedroom = 0
# Når utetemp er lavere enn verdien til termostaten blir
# differansen ganget med koeffisienten for å finne strømforbruket til panelovnen.
elif (temp_val < temp_room):
energy_bedroom = room_heating * (temp_room - temp_val)
# Når utetemp er lik eller større enn verdien til termostaten bruker ikke panelovnen strøm.
else:
energy_bedroom = 0
# Når beboeren er borte, bruker ikke panelovnen strøm.
elif ishome == 0:
energy_bedroom = 0
# Finner strømforbruket når beboeren er hjemme på natta (kl 23:00 til 06:00).
elif (hour == 23 or hour in range(0, 7)) and ishome == 1:
# Hvis termostaten har blitt satt til 0 betyr det at ovnen er skrudd av og bruker ikke strøm.
if (temp_room == 0):
energy_bedroom = 0
# Når utetemp er mindre enn termostat verdien minus 4 blir differansen
# (termostat verdi – 4 – utetemp) ganget med koeffisienten for å finne strømforbruket til panelovnen.
# Dette blir gjort for å simulere mindre strømforbruk om natta.
elif (temp_val < temp_room - 4):
energy_bedroom = room_heating * ((temp_room - 4) - temp_val)
# Når utetemp er lik eller større enn verdien til termostaten minus 4 bruker ikke panelovnen strøm.
else:
energy_bedroom = 0
# Runder av verdien for å bli kvitt unødvendige desimaltell.
energy_bedroom = round(energy_bedroom, 3)
# Skriver srtømdorbruket, temperaturen og datoen til en csv_fil.
# Strømforbruksverdien blir brukt i el_forbruk til å regen ut totalt strømforbruk for rommet den gjellende dagen.
# Tenperatur verdien blir brukt i el_forbruk for å finne gjennomsnittstemperaturen for dagen
# som igjenn blir brukt for å finne strømforbruket til fellesarealene.
with open('temp_csv/Heating_Room.csv', 'a') as p:
prod_df = csv.writer(p)
prod_df.writerow([date, energy_bedroom, temp_val])
hr = pd.read_csv('temp_csv/Heating_Room.csv')
return hr
def main():
while True:
if args.tanaman:
def on_publish_plant(client, userdata, mid):
print("mid: " + str(mid))
client = mqtt.Client()
client.on_publish = on_publish_plant
client.username_pw_set("username", "password")
client.connect("broker.hivemq.com", 1883, 60)
client.loop_start()
lokasi = input("Masukan Lokasi yang ingin di prediksi cuacanya: ")
# perulangan untuk mengirimkan data (publish) ke mqtt broker setiap detik
while True:
weather = Yr(location_name=lokasi,
forecast_link='forecast_hour_by_hour')
currentWeather = weather.now()
minTemp = int(currentWeather['temperature']['@value'])
maxTemp = int(currentWeather['temperature']['@value'])
maxRain = float(currentWeather['precipitation']['@value'])
tempMin = "Minimum Temperatur : " + str(minTemp)
tempMax = "Maksimum Temperatur : " + str(maxTemp)
rainMax = "Curah Hujan : " + str(maxRain)
if maxRain < 0.5:
condition = "Siram Tanaman"
if maxRain > 0.5:
condition = "Jangan Siram Tanaman"
client.publish("/temperatur_minimum", tempMin, qos=1)
time.sleep(1)
client.publish("/temperatur_maksimum", tempMax, qos=1)
time.sleep(1)
client.publish("/curah_hujan", rainMax, qos=1)
time.sleep(1)
client.publish("/kondisi_alat_siram", condition, qos=1)
time.sleep(2)
if args.lampu:
def on_publish_light(client, userdata, mid):
print("mid: " + str(mid))
client = mqtt.Client()
client.on_publish = on_publish_light
client.username_pw_set("username", "password")
client.connect("broker.hivemq.com", 1883, 60)
client.loop_start()
lokasi = input("Masukan Lokasi yang ingin di prediksi cuacanya: ")
# perulangan untuk mengirimkan data (publish) ke mqtt broker setiap detik
while True:
weather = Yr(location_name=lokasi,
forecast_link='forecast_hour_by_hour')
currentWeather = weather.now()
sunRise = extractTime(weather.dictionary['weatherdata']['sun']
['@rise']).strftime("%H:%M")
sunSet = extractTime(weather.dictionary['weatherdata']['sun']
['@set']).strftime("%H:%M")
today = datetime.now()
timeToday = today.strftime("%H:%M")
for forecast in weather.forecast():
condition = forecast['symbol']['@name']
Risesun = "Matahari Terbit : " + str(sunRise)
Setsun = "Matahari Terbenam : " + str(sunSet)
timenow = "Waktu Sekarang : " + str(timeToday)
conditionNow = "Kondisi Cuaca : " + str(condition)
if Setsun > timeToday > sunRise and conditionNow != 'Cloudy' or conditionNow != 'Rain' or conditionNow != 'Heavy rain showers':
condition = "Lampu Dimatikan"
if Setsun < timeToday < sunRise and conditionNow != 'Cloudy' or conditionNow != 'Rain' or conditionNow != 'Heavy rain showers':
condition = "Lampu Dihidupkan"
if Setsun > timeToday > sunRise and conditionNow == 'Cloudy' or conditionNow == 'Rain' or conditionNow == 'Heavy rain showers':
condition = "Lampu Dimatikan"
if Setsun < timeToday < sunRise and conditionNow == 'Cloudy' or conditionNow == 'Rain' or conditionNow == 'Heavy rain showers':
condition = "Lampu Dihidupkan"
client.publish("/matahari_terbit", Risesun, qos=1)
time.sleep(1)
client.publish("/matahari_terbenam", Setsun, qos=1)
time.sleep(1)
client.publish("/waktu_sekarang", timenow, qos=1)
time.sleep(1)
client.publish("/kondisi_sekarang", conditionNow, qos=1)
time.sleep(1)
client.publish("/kondisi_alat_lampu", condition, qos=1)
time.sleep(2)
if args.pendingin:
def on_publish_cooler(client, userdata, mid):
print("mid: " + str(mid))
client = mqtt.Client()
client.on_publish = on_publish_cooler
client.username_pw_set("username", "password")
client.connect("broker.hivemq.com", 1883, 60)
client.loop_start()
lokasi = input("Masukan Lokasi yang ingin di prediksi cuacanya: ")
# perulangan untuk mengirimkan data (publish) ke mqtt broker setiap detik
while True:
url = "http://api.openweathermap.org/data/2.5/weather?q=%s&appid=%s"
request = requests.get(
url % (lokasi, '057928f69d86a90014a99e9b80269621'))
response = json.loads(request.text)
temp = round(response['main']['temp'] - 273)
temperatur = "Suhu : " + str(temp)
if temp >= 30:
condition = "Pendingin Dihidupkan"
if 30 >= temp >= 21:
condition = "Pendingin Dihidupkan"
if temp <= 21:
condition = "Pendingin Dimatikan"
client.publish("/temperatur", temperatur, qos=1)
time.sleep(1)
client.publish("/kondisi_alat_pendingin", condition, qos=1)
time.sleep(2)
#!/usr/bin/env python3 from yr.libyr import Yr weather = Yr(location_name='Norge/Telemark/Skien/Skien') now = weather.now(as_json=True) print(now)
log = sys.argv[2]
requestType = int(sys.argv[3])
asJSON = bool("foo")
if sys.argv[4] == "F":
asJSON = bool("")
weather = ""
#Get the weather forecast for the specified location
if requestType == 1:
weather = Yr(location_name='Norway/Rogaland/Stavanger/Stavanger')
#Get the hourly weather forecast for the specified location
elif requestType == 2:
weather = Yr(location_name='Norway/Rogaland/Stavanger/Stavanger',
forecast_link='forecast_hour_by_hour')
#Get the current forecast for the specified location
else:
weather = Yr(location_name='Norway/Rogaland/Stavanger/Stavanger')
weatherResponse = ""
if requestType != 0:
if (asJSON):
for forecast in weather.forecast(as_json=asJSON):
weatherResponse += forecast
else:
weatherResponse = weather
else:
weatherResponse = weather.now(as_json=asJSON)
print(weatherResponse)
def doRequest():
weather = Yr(location_xyz=(longitude, latitude, 1))
now = weather.now(as_json=False)
Application().queue(self.sensor.updateValues, now)
log=sys.argv[2]
requestType=int(sys.argv[3])
asJSON=bool("foo")
if sys.argv[4]=="F":
asJSON=bool("")
weather = ""
#Get the weather forecast for the specified location
if requestType==1:
weather=Yr(location_name='Norway/Rogaland/Stavanger/Stavanger')
#Get the hourly weather forecast for the specified location
elif requestType==2:
weather=Yr(location_name='Norway/Rogaland/Stavanger/Stavanger', forecast_link='forecast_hour_by_hour')
#Get the current forecast for the specified location
else:
weather=Yr(location_name='Norway/Rogaland/Stavanger/Stavanger')
weatherResponse=""
if requestType!=0:
if(asJSON):
for forecast in weather.forecast(as_json=asJSON):
weatherResponse+=forecast
else:
weatherResponse=weather
else:
weatherResponse=weather.now(as_json=asJSON)
print(weatherResponse)
elif "where" in recog:
engine.say("Sure. What location do you want to know?")
engine.runAndWait()
speech2 = sr.Microphone(device_index=microphone_index)
with speech2 as source:
qaudio = r.listen(source, timeout=10.0)
r.adjust_for_ambient_noise(source)
query = r.recognize_google(qaudio, language='en-US')
search = query.replace(" ", "+")
webbrowser.open(
"https://www.google.co.za/maps/search/" + search)
break
elif "weather" in recog:
now = weather.now(as_json=False)
overtemp = now['temperature']
tempunit = overtemp['@unit']
tempvalue = overtemp['@value']
oversky = now['symbol']
skycon = oversky['@name']
overrain = now['precipitation']
rainvalue = overrain['@value']
overwind = now['windDirection']
overwind2 = now['windSpeed']
winddirection = overwind['@name']
windspeed = overwind2['@mps']
#!/usr/bin/env python3 from yr.libyr import Yr weather = Yr(location_name='Norge/Telemark/Skien/Skien') now = weather.now() print(now)
