Capstone

#email alert code based on threshold modified with z-score analysis
import time,json,conf,statistics
from boltiot import Bolt,Email
cons_threshold=[5,10]    #add lowest and highest value
mybolt=Bolt(conf.BOLT_API_KEY,conf.DEVICE_ID)
mailer=Email(conf.MAILGUN_API_KEY,conf.SANDBOX_URL,conf.FROM_EMAIL,conf.TO_EMAIL)
def get_threshold_value(history_data,mul_factor,ran):
    if len(history_data)<ran:
        print("Not enough data to calculate the thresholds.",ran-len(history_data),"more data point(s) required")
        return None
    if len(history_data)>ran:
        del history_data[0:len(history_data)-ran]
    Mn=statistics.mean(history_data)
    sum=0
    for i in history_data:
        sum+=(i-Mn)**2
    sum/=ran
    Zn=mul_factor*(sum**(1/2))
    threshold=[history_data[len(history_data)-1]-Zn,history_data[len(history_data)-1]+Zn]
    return threshold
history_data=[]
while True:
    responce=mybolt.analogRead('A0')
    sensor_value=json.loads(responce)
    temp=float(sensor_value['value'])/10.24
    threshold=get_threshold_value(history_data,conf.MUL_FACTOR,conf.RANGE)
    print(temp)
    if threshold!=None:
        if temp>threshold[1]:
            print("Someone opened the fridge")
    if temp<cons_threshold[0]:
        responce=mailer.send_email("ALERT","The temperature is very low, the temperature is "+str(temp)+" deg Celsius")
        responce_text=json.loads(responce.text)
        print("Responce from MailGun is:",responce_text['message'])
    if temp>cons_threshold[1]:
        responce=mailer.send_email("ALERT","The temperature is very high, the temperature is "+str(temp)+" deg Celsius")
        responce_text=json.loads(responce.text)
        print("Responce from MailGun is:",responce_text['message'])
    history_data.append(temp)
    time.sleep(10)