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Commit 5d8ee49f authored by Jesus Miguel Zubia's avatar Jesus Miguel Zubia
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Updated the CS_499_backend.py

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CS_499_backend.py
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import psycopg2
# import CS_499_backend
from CS_499_backend import Door_Window, Appliance_1, Appliance_with_Water, Temperature_data, Door_Window_History, App1_History, App2_History, App3_History, time_stamp, time_stamp2, time_stamp3, time_stamp4, monthly_cost1_FEB, monthly_cost1_MAR, monthly_cost1_JAN, monthly_power1_JAN, monthly_power1_FEB, monthly_power1_MAR, monthly_cost2_FEB, monthly_cost2_JAN, monthly_cost2_MAR, monthly_water_usg_MAR, monthly_water_usg_JAN, monthly_water_usg_FEB, monthly_power2_FEB, monthly_power2_JAN, monthly_power2_MAR, monthly_temp_watts_JAN, monthly_temp_watts_FEB, monthly_temp_watts_MAR, monthly_temp_ct_JAN, monthly_temp_ct_FEB, monthly_temp_ct_MAR
# create a new database
conn = psycopg2.connect(database="Team3DB", user="Team3", password="team3", host="138.26.48.83", port="5432")
cur = conn.cursor()
#cur.execute("CREATE DATABASE Team3 ")
conn.close()
# create a new table for Door_Window_History
conn = psycopg2.connect(database="Team3DB", user="Team3", password="team3", host="138.26.48.83", port="5432")
cur = conn.cursor()
cur.execute("""
DROP TABLE IF EXISTS Door_Window_History;
CREATE TABLE Door_Window_History (
id SERIAL PRIMARY KEY,
day VARCHAR(255),
door_status INTEGER,
door_time FLOAT,
window_status INTEGER,
window_time FLOAT
);
""")
conn.commit()
#insert the data into the Door_Window_History table
## Data base generation code by Group 3 CS 499 ##
# Morning data,afternoon ,night data for temp
import random
import math
import requests
import json
import numpy as np
class Door_Window:
def __init__(self,day,Door_status,Door_time,Window_status,Window_time):
self.day=day
self.Door_status=Door_status
self.Door_time=Door_time
self.Window_status=Window_status
self.Window_time=Window_time
WORKWEEK=["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"]
NUM_WEEKS=11
Door_Window_History=dict()
time_stamp=0
for i in range(0,NUM_WEEKS):
for j in range(0,7):
#door_opens = 0
#window_opens = 0
if j < 5:
door_opens = random.randint(14,22)
window_open= random.randint(1,5)
else:
door_opens = random.randint(26,36)
window_open= random.randint(7,12)
door_minutes = door_opens *30/60
window_minutes = window_open *45/60
Door_Window_History[time_stamp] = Door_Window(WORKWEEK[j], door_opens, door_minutes, window_open, window_minutes)
time_stamp += 1
for i in Door_Window_History:
for time_stamp, data in Door_Window_History.items():
cur.execute("""
INSERT INTO Door_Window_History (
day, door_status, door_time, window_status, window_time)
VALUES (%s, %s, %s, %s, %s);
""", (
data.day, data.Door_status, data.Door_time,
data.Window_status, data.Window_time
))
conn.commit()
# create a new table for App1_History
conn = psycopg2.connect(database="Team3DB", user="Team3", password="team3", host="138.26.48.83", port="5432")
cur = conn.cursor()
cur.execute("""
DROP TABLE IF EXISTS Appliance_1_History;
CREATE TABLE Appliance_1_History (
id SERIAL PRIMARY KEY,
day VARCHAR(255),
micro_pwr FLOAT,
stove_pwr FLOAT,
oven_pwr FLOAT,
Lrtv_pwr FLOAT,
Brtv_pwr FLOAT,
fridge_pwr FLOAT,
micro_ct FLOAT,
stove_ct FLOAT,
oven_ct FLOAT,
Lrtv_ct FLOAT,
Brtv_ct FLOAT,
fridge_ct FLOAT,
lights_pwr FLOAT,
lights_ct FLOAT
);
""")
for time_stamp2, data in App1_History.items():
cur.execute("""
INSERT INTO Appliance_1_History (
day, micro_pwr, stove_pwr, oven_pwr, Lrtv_pwr, Brtv_pwr, fridge_pwr,
micro_ct, stove_ct, oven_ct, Lrtv_ct, Brtv_ct, fridge_ct, lights_pwr, lights_ct)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s);
""", (
data.day, data.micro_pwr, data.stove_pwr, data.oven_pwr, data.Lrtv_pwr, data.Brtv_pwr,
data.fridge_pwr, data.micro_ct, data.stove_ct, data.oven_ct, data.Lrtv_ct, data.Brtv_ct,
data.fridge_ct, data.lights_pwr, data.lights_ct
))
conn.commit()
# create a new table for appliance_with_water
conn = psycopg2.connect(database="Team3DB", user="Team3", password="team3", host="138.26.48.83", port="5432")
cur = conn.cursor()
cur.execute("""
DROP TABLE IF EXISTS appliance_with_water;
CREATE TABLE appliance_with_water (
id SERIAL PRIMARY KEY,
day TEXT,
water_heat_pwr FLOAT,
dishwasher_pwr FLOAT,
clothes_wash_pwr FLOAT,
clothes_dry_pwr FLOAT,
bath_fans_pwr FLOAT,
water_heat_ug FLOAT,
bath_water_ug FLOAT,
shower_water_ug FLOAT,
dishwasher_ug FLOAT,
clothes_wash_ug FLOAT,
water_heat_ct FLOAT,
dishwasher_ct FLOAT,
clothes_wash_ct FLOAT,
clothes_dry_ct FLOAT,
bath_fans_ct FLOAT,
water_ct FLOAT,
bath INT,
shower INT
);
""")
conn.commit()
# insert data into the App2_History table
for time_stamp3, data in App2_History.items():
cur = conn.cursor()
cur.execute("""
INSERT INTO appliance_with_water (
day, water_heat_pwr, dishwasher_pwr, clothes_wash_pwr,
clothes_dry_pwr, bath_fans_pwr, water_heat_ug, bath_water_ug,
shower_water_ug, dishwasher_ug, clothes_wash_ug, water_heat_ct,
dishwasher_ct, clothes_wash_ct, clothes_dry_ct, bath_fans_ct,
water_ct, bath, shower
)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s);
""", (
data.day, data.Water_Heat_pwr, data.DishWasher_pwr, data.Clothes_Wash_pwr,
data.Clothes_dry_pwr, data.bath_fans_pwr, data.Water_Heat_ug, data.Bath_water_ug,
data.Shower_water_ug, data.DishWasher_ug, data.Clothes_Wash_ug, data.Water_Heat_ct,
data.DishWasher_ct, data.Clothes_Wash_ct, data.Clothes_dry_ct, data.bath_fans_ct,
data.Water_ct, data.bath, data.shower
))
conn.commit()
# create a new table for Temperature_data
conn = psycopg2.connect(database="Team3DB", user="Team3", password="team3", host="138.26.48.83", port="5432")
cur = conn.cursor()
cur.execute("""
DROP TABLE IF EXISTS Temperature_data;
CREATE TABLE Temperature_data (
id SERIAL PRIMARY KEY,
temp_power FLOAT,
temp_cost FLOAT
);
""")
conn.commit()
# insert data into the App3_History Table
for time_stamp4, data in App3_History.items():
cur = conn.cursor()
cur.execute("""
INSERT INTO temperature_data (
temp_power, temp_cost
)
VALUES (%s, %s);
""", (
data.temp_power, data.temp_cost
))
conn.commit()
#################### This is for
# # create a new table for app1_cost_power
# conn = psycopg2.connect(database="Team3DB", user="Team3", password="team3", host="138.26.48.83", port="5432")
# cur = conn.cursor()
# cur.execute("""
# DROP TABLE IF EXISTS app1_cost_power;
# CREATE TABLE app1_cost_power (
# month TEXT,
# watts FLOAT,
# cost FLOAT
# )
# """)
# conn.commit()
# # Insert the monthly power and cost values into the table
# cur.execute("""
# INSERT INTO app1_cost_power (month, watts, cost)
# VALUES ('January', %s, %s),
# ('February', %s, %s),
# ('March', %s, %s)
# """, (monthly_power1_JAN, monthly_cost1_JAN,
# monthly_power1_FEB, monthly_cost1_FEB,
# monthly_power1_MAR, monthly_cost1_MAR))
# # Commit the changes
# conn.commit()
# # create a new table for app2_cost_power
# conn = psycopg2.connect(database="Team3DB", user="Team3", password="team3", host="138.26.48.83", port="5432")
# cur = conn.cursor()
# cur.execute("""
# DROP TABLE IF EXISTS app2_cost_power;
# CREATE TABLE app2_cost_power (
# month TEXT,
# watts FLOAT,
# water FLOAT,
# cost FLOAT
# )
# """)
# conn.commit()
# # Insert the monthly power and cost values into the table
# cur.execute("""
# INSERT INTO app2_cost_power (month, watts, water, cost)
# VALUES ('January', %s, %s, %s),
# ('February', %s, %s, %s),
# ('March', %s, %s, %s)
# """, (monthly_power2_JAN, monthly_water_usg_JAN, monthly_cost2_JAN,
# monthly_power2_FEB, monthly_water_usg_FEB, monthly_cost2_FEB,
# monthly_power2_MAR, monthly_water_usg_MAR, monthly_cost2_MAR))
# # Commit the changes
# conn.commit()
# # create a new table for temp_cost_watts
# conn = psycopg2.connect(database="Team3DB", user="Team3", password="team3", host="138.26.48.83", port="5432")
# cur = conn.cursor()
# cur.execute("""
# DROP TABLE IF EXISTS temp_cost_watts;
# CREATE TABLE temp_cost_watts (
# month TEXT,
# watts FLOAT,
# cost FLOAT
# )
# """)
# conn.commit()
# # Insert the monthly power and cost values into the table
# cur.execute("""
# INSERT INTO temp_cost_watts (month, watts, cost)
# VALUES ('January', %s, %s),
# ('February', %s, %s),
# ('March', %s, %s)
# """, (monthly_temp_watts_JAN, monthly_temp_ct_JAN,
# monthly_temp_watts_FEB, monthly_temp_ct_FEB,
# monthly_temp_watts_MAR, monthly_temp_ct_MAR))
# # Commit the changes
# conn.commit()
# create a new table for total_cost_watts
conn = psycopg2.connect(database="Team3DB", user="Team3", password="team3", host="138.26.48.83", port="5432")
cur = conn.cursor()
cur.execute("""
DROP TABLE IF EXISTS total_cost_watts;
CREATE TABLE total_cost_watts (
month TEXT,
watts FLOAT,
cost FLOAT
)
""")
conn.commit()
# Insert the monthly power and cost values into the table
cur.execute("""
INSERT INTO total_cost_watts (month, watts, cost)
VALUES ('January', %s, %s),
('February', %s, %s),
('March', %s, %s)
""", (monthly_temp_watts_JAN+monthly_power2_JAN+monthly_power1_JAN, monthly_temp_ct_JAN+monthly_cost2_JAN+monthly_cost1_JAN,
monthly_temp_watts_FEB+monthly_power2_FEB+monthly_power1_FEB, monthly_temp_ct_FEB+monthly_cost2_FEB+monthly_cost1_FEB,
monthly_temp_watts_MAR+monthly_power2_MAR+monthly_power1_MAR, monthly_temp_ct_MAR+monthly_cost2_MAR+monthly_cost1_MAR))
# Commit the changes
conn.commit()
# Commit changes
#conn.commit()
cur.close()
conn.close()
\ No newline at end of file
print(i, Door_Window_History[i].day, Door_Window_History[i].Door_status, Door_Window_History[i].Door_time, Door_Window_History[i].Window_status, Door_Window_History[i].Window_time)
class Appliance_1:
def __init__(self,day,micro_pwr,stove_pwr,oven_pwr,Lrtv_pwr,Brtv_pwr,fridge_pwr,lights_pwr,micro_ct,stove_ct,oven_ct,Lrtv_ct,Brtv_ct,fridge_ct,lights_ct):
self.day=day
self.micro_pwr=micro_pwr
self.stove_pwr=stove_pwr
self.oven_pwr=oven_pwr
self.Lrtv_pwr=Lrtv_pwr
self.Brtv_pwr=Brtv_pwr
self.fridge_pwr=fridge_pwr
self.micro_ct=micro_ct
self.stove_ct=stove_ct
self.oven_ct=oven_ct
self.Lrtv_ct=Lrtv_ct
self.Brtv_ct=Brtv_ct
self.fridge_ct=fridge_ct
self.lights_pwr=lights_pwr
self.lights_ct=lights_ct
App1_History=dict()
time_stamp2=1
Fridge=0
for i in range(0, NUM_WEEKS):
for j in range(0,7):
Fridge += 1440
if j<5:
Microwave=random.randint(18,25)
Stove=random.randint(13,18)
Oven=random.randint(40,50)
Living_roomTV=random.randint(230,330)
BedroomTV=random.randint(100,190)
lights=random.randint(35,65)
else:
Microwave=random.randint(26,40)
Stove=random.randint(25,41)
Oven=random.randint(54,67)
Living_roomTV=random.randint(432,490)
BedroomTV=random.randint(225,277)
lights=random.randint(55,95)
#Watts Ussage
Watts_micro=(Microwave/60)*1100
Watts_stove=(Stove/60)*3500
Watts_oven=(Oven/60)*4000/60
Watts_Lrtv=(Living_roomTV/60)*636
Watts_Brtv=(BedroomTV/60)*100
Watts_Fridge=(Fridge/60)*150
Watts_Lights=(lights*random.randint(4,8))
#Cost Calculations
Cost_micro=((Watts_micro/1000)*0.12)/100
Cost_stove=((Watts_stove/1000)*0.12)/100
Cost_oven=((Watts_oven/1000)*0.12)/100
Cost_Lrtv=((Watts_Lrtv/1000)*0.12)/100
Cost_Brtv=((Watts_Brtv/1000)*0.12)/100
Cost_Fridge=((Watts_Fridge/1000)*0.12)/100
Cost_lights=((Watts_Lights/1000)*0.12 )/100
App1_History[time_stamp2] = Appliance_1(WORKWEEK[j],Watts_micro,Watts_stove,Watts_oven,Watts_Lrtv,Watts_Brtv,Watts_Fridge,Watts_Lights,Cost_micro,Cost_stove,Cost_oven,Cost_Lrtv,Cost_Brtv,Cost_Fridge,Cost_lights)
time_stamp2 += 1
monthly_cost1_JAN=0
monthly_power1_JAN=0
monthly_cost1_FEB=0
monthly_power1_FEB=0
monthly_cost1_MAR=0
monthly_power1_MAR=0
print("###################################################### TOTAL APP1 HISTORY FOR 77 DAYS ###################################################### \n")
for i in App1_History:
if i<=31:
monthly_power1_JAN += App1_History[i].micro_pwr + App1_History[i].stove_pwr + App1_History[i].oven_pwr + App1_History[i].Lrtv_pwr + App1_History[i].Brtv_pwr + App1_History[i].fridge_pwr +App1_History[i].lights_pwr
monthly_cost1_JAN += App1_History[i].micro_ct + App1_History[i].stove_ct + App1_History[i].oven_ct + App1_History[i].Lrtv_ct + App1_History[i].Brtv_ct + App1_History[i].fridge_ct + App1_History[i].lights_ct
if i>32 and i<=60:
monthly_power1_FEB += App1_History[i].micro_pwr + App1_History[i].stove_pwr + App1_History[i].oven_pwr + App1_History[i].Lrtv_pwr + App1_History[i].Brtv_pwr + App1_History[i].fridge_pwr +App1_History[i].lights_pwr
monthly_cost1_FEB += App1_History[i].micro_ct + App1_History[i].stove_ct + App1_History[i].oven_ct + App1_History[i].Lrtv_ct + App1_History[i].Brtv_ct + App1_History[i].fridge_ct + App1_History[i].lights_ct
if i>61:
monthly_power1_MAR += App1_History[i].micro_pwr + App1_History[i].stove_pwr + App1_History[i].oven_pwr + App1_History[i].Lrtv_pwr + App1_History[i].Brtv_pwr + App1_History[i].fridge_pwr +App1_History[i].lights_pwr
monthly_cost1_MAR += App1_History[i].micro_ct + App1_History[i].stove_ct + App1_History[i].oven_ct + App1_History[i].Lrtv_ct + App1_History[i].Brtv_ct + App1_History[i].fridge_ct + App1_History[i].lights_ct
#print(i,App1_History[i].day,App1_History[i].micro_pwr,App1_History[i].stove_pwr,App1_History[i].oven_pwr,App1_History[i].Lrtv_pwr,App1_History[i].Brtv_pwr,App1_History[i].micro_ct,App1_History[i].stove_ct,App1_History[i].oven_ct,App1_History[i].Lrtv_ct,App1_History[i].Brtv_ct)
print( "_ - _ - _ - _ Power used for each Month _ - _ - _ - _ \n")
print( "Jan APP1 watts used : ",monthly_power1_JAN )
print( "FEB APP1 watts used : ",monthly_power1_FEB )
print( "MAR APP1 watts used : ",monthly_power1_MAR )
print( "_ - _ - _ - _ Cost used for each Month _ - _ - _ - _ \n")
print( "Jan APP1 cost used : ",monthly_cost1_JAN )
print( "FEB APP1 cost used : ",monthly_cost1_FEB )
print( "MAR APP1 cost used : ",monthly_cost1_MAR )
#print("################################################################################################################################################################# \n")
class Appliance_with_Water:
def __init__(self,day,Water_Heat_pwr,DishWasher_pwr,Clothes_Wash_pwr,Clothes_dry_pwr,bath_fans_pwr,Water_Heat_ug,Bath_water_ug,Shower_water_ug,DishWasher_ug,Clothes_Wash_ug,Water_Heat_ct,DishWasher_ct,Clothes_Wash_ct,Clothes_dry_ct,bath_fans_ct,Water_ct,bath,shower):
self.day=day
self.Water_Heat_pwr=Water_Heat_pwr
self.DishWasher_pwr=DishWasher_pwr
self.Clothes_Wash_pwr=Clothes_Wash_pwr
self.Clothes_dry_pwr=Clothes_dry_pwr
self.Water_Heat_ug=Water_Heat_ug
self.DishWasher_ug=DishWasher_ug
self.Clothes_Wash_ug=Clothes_Wash_ug
self.Water_Heat_ct=Water_Heat_ct
self.DishWasher_ct=DishWasher_ct
self.Clothes_Wash_ct=Clothes_Wash_ct
self.Clothes_dry_ct=Clothes_dry_ct
self.bath_fans_pwr=bath_fans_pwr
self.bath_fans_ct=bath_fans_ct
self.Bath_water_ug=Bath_water_ug
self.Shower_water_ug=Shower_water_ug
self.Water_ct=Water_ct
self.bath=bath
self.shower=shower
App2_History=dict()
time_stamp3=0
for i in range(0,NUM_WEEKS):
Dish_washer_run=random.randint(3,5)
Clths_wash_dry_run=random.randint(3,5)
for j in range(0,7):
if j<5:
Bath=random.randint(2,3)
Shower=random.randint(2,3)
else:
Bath=random.randint(3,4)
Shower=random.randint(3,4)
#Calaculate Total Water
Bath_water=30*Bath
Shower_water=25*Shower
Clths_water=20*Clths_wash_dry_run
Dish_washer_water=6*Dish_washer_run
# still have to apply floor to it ## hot water
Bath_hot=math.ceil(Bath_water*0.65)
Shower_hot=math.ceil(Shower_water*0.65)
Clths_wash_hot=math.ceil(Clths_water*0.85)
# hot water heater ## use ceil round up
Hot_water=(Bath_hot+Shower_hot+Clths_wash_hot)
Hot_water_time=Hot_water*4
# Watts used
Hot_water_pwr=(Hot_water_time/60)*4500
Dish_washer_pwr=((Dish_washer_run*45)/60)*1800
Clothes_wash_pwr=((Clths_wash_dry_run*30)/60)*500
Clothes_dry_pwr=((Clths_wash_dry_run*30)/60)*3000
Bath_Fans_pwr=((Bath*45)/60)*30
# Cost
Hot_water_ct=((Hot_water_pwr/1000)*0.12)/100
Dish_washer_ct=((Dish_washer_pwr/1000)*0.12)/100
Clothes_wash_ct=((Clothes_wash_pwr/1000)*0.12)/100
Clothes_dry_ct=((Clothes_dry_pwr/1000)*0.12)/100
Bath_Fans_ct=((Bath_Fans_pwr/1000)*0.12)/100
# Water Used / Cost
Water_Total=Bath_water+Shower_water+Clths_water+Dish_washer_water
Water_Feet=Water_Total/7.48
Water_cost=Water_Feet*(2.52/100)
# Water_Heat_pwr, DishWasher_pwr, Clothes_Wash_pwr, Clothes_dry_pwr, bath_fan_pwr, Water_Heat_ug, DishWasher_ug, Clothes_Wash_ug, Water_Heat_ct, DishWasher_ct, Clothes_Wash_ct, Clothes_dry_ct, bath_fan_ct, bath, shower
App2_History[time_stamp3] = Appliance_with_Water(WORKWEEK[j],Hot_water_pwr,Dish_washer_pwr,Clothes_wash_pwr,Clothes_dry_pwr,Bath_Fans_pwr,Hot_water,Bath_water,Shower_water,Dish_washer_water,Clths_water,Hot_water_ct,Dish_washer_ct,Clothes_wash_ct,Clothes_dry_ct,Bath_Fans_ct,Water_cost,Bath,Shower)
time_stamp3 += 1
monthly_cost2_JAN=0
monthly_power2_JAN=0
monthly_water_usg_JAN=0
monthly_cost2_FEB=0
monthly_power2_FEB=0
monthly_water_usg_FEB=0
monthly_cost2_MAR=0
monthly_power2_MAR=0
monthly_water_usg_MAR=0
print("###################################################### TOTAL APP2 HISTORY FOR 77 DAYS ###################################################### \n")
for i in App2_History:
if i>=31:
monthly_cost2_JAN+= App2_History[i].Water_Heat_ct + App2_History[i].DishWasher_ct + App2_History[i].Clothes_Wash_ct + App2_History[i].Clothes_dry_ct +App2_History[i].Water_ct + App2_History[i].bath_fans_ct
monthly_power2_JAN+= App2_History[i].Water_Heat_pwr+ App2_History[i].DishWasher_pwr + App2_History[i].Clothes_Wash_pwr + App2_History[i].Clothes_dry_pwr + App2_History[i].bath_fans_pwr
monthly_water_usg_JAN+= App2_History[i].Bath_water_ug + App2_History[i].Shower_water_ug + App2_History[i].DishWasher_ug+ App2_History[i].Clothes_Wash_ug
if i>32 and i<=60:
monthly_cost2_FEB+= App2_History[i].Water_Heat_ct + App2_History[i].DishWasher_ct + App2_History[i].Clothes_Wash_ct + App2_History[i].Clothes_dry_ct +App2_History[i].Water_ct + App2_History[i].bath_fans_ct
monthly_power2_FEB+= App2_History[i].Water_Heat_pwr+ App2_History[i].DishWasher_pwr + App2_History[i].Clothes_Wash_pwr + App2_History[i].Clothes_dry_pwr + App2_History[i].bath_fans_pwr
monthly_water_usg_FEB+= App2_History[i].Bath_water_ug + App2_History[i].Shower_water_ug + App2_History[i].DishWasher_ug+ App2_History[i].Clothes_Wash_ug
if i>61:
monthly_cost2_MAR+= App2_History[i].Water_Heat_ct + App2_History[i].DishWasher_ct + App2_History[i].Clothes_Wash_ct + App2_History[i].Clothes_dry_ct +App2_History[i].Water_ct + App2_History[i].bath_fans_ct
monthly_power2_MAR+= App2_History[i].Water_Heat_pwr+ App2_History[i].DishWasher_pwr + App2_History[i].Clothes_Wash_pwr + App2_History[i].Clothes_dry_pwr + App2_History[i].bath_fans_pwr
monthly_water_usg_MAR+= App2_History[i].Bath_water_ug + App2_History[i].Shower_water_ug + App2_History[i].DishWasher_ug+ App2_History[i].Clothes_Wash_ug
#print(i,App2_History[i].day,App2_History[i].Water_Heat_pwr,App2_History[i].DishWasher_pwr,App2_History[i].Clothes_Wash_pwr,App2_History[i].Clothes_dry_pwr,App2_History[i].bath_fans_pwr,App2_History[i].Water_Heat_ug,App2_History[i].Bath_water_ug,App2_History[i].Shower_water_ug,App2_History[i].DishWasher_ug,App2_History[i].Clothes_Wash_ug,App2_History[i].Water_Heat_ct,App2_History[i].DishWasher_ct,App2_History[i].Clothes_Wash_ct,App2_History[i].Clothes_dry_ct,App2_History[i].bath_fans_ct,App2_History[i].Water_ct,App2_History[i].bath,App2_History[i].shower)
print( "_ - _ - _ - _ Power used for each Month _ - _ - _ - _ \n")
print( "Jan APP2 watts used : ",monthly_power2_JAN )
print( "FEB APP2 watts used : ",monthly_power2_FEB )
print( "MAR APP2 watts used : ",monthly_power2_MAR )
print( "_ - _ - _ - _ Cost used for each Month _ - _ - _ - _ \n")
print( "Jan APP2 cost used : ",monthly_cost2_JAN )
print( "FEB APP2 cost used : ",monthly_cost2_FEB )
print( "MAR APP2 cost used : ",monthly_cost2_MAR )
print( "_ - _ - _ - _ Gallons used for each Month _ - _ - _ - _ \n")
print( "Jan APP2 water used : ",monthly_water_usg_JAN )
print( "FEB APP2 water used : ",monthly_water_usg_FEB )
print( "MAR APP2 water used : ",monthly_water_usg_MAR )
#print( "################################################################################################################################################################# \n")
# weather api to get temp from history
# Used this to help me understand and gather API.data: https://pypi.org/project/requests/ and https://realpython.com/api-integration-in-python/
class Temperature_data :
def __init__(self,temp_power,temp_cost):
self.temp_power=temp_power
self.temp_cost=temp_cost
response_API = requests.get("https://archive-api.open-meteo.com/v1/archive?latitude=33.52&longitude=-86.80&start_date=2023-01-01&end_date=2023-03-12&hourly=temperature_2m&timezone=America%2FChicago&temperature_unit=fahrenheit")
data = response_API.text
parse_temp = json.loads(data)
hourly_pull = parse_temp['hourly']
dict_pull = hourly_pull["temperature_2m"]
App3_History = dict()
time_stamp4 = 0
daily_arr=np.array_split(dict_pull,77)
for i in range(0,len(daily_arr)):
daily_arr[i]
d_t=Door_Window_History[i].Door_time
w_t=Door_Window_History[i].Window_time
diff_inc = 0
diff_dec = 0
for j in range(0,len(daily_arr[i])-1):
num_nxt=daily_arr[i][j+1]
num=daily_arr[i][j]
if num > num_nxt :
diff_inc= num - num_nxt
if num < num_nxt :
diff_dec= num_nxt - num
# print(diff_inc)
# print(diff_dec)
sum=(diff_inc+diff_dec)*random.randint(2,17)
#Total number of minutes ac runs
min_op=sum*60+(d_t+w_t)
watts_per_day=(min_op)*3500
ct_per_day=((watts_per_day/1000)*0.12)/100
App3_History[time_stamp4]=Temperature_data (watts_per_day,ct_per_day)
time_stamp4+=1
# print(ct_per_day)
# print(watts_per_day)
# print("what i is",i)
# print("timestamp",i)
monthly_temp_ct_JAN=0
monthly_temp_watts_JAN=0
monthly_temp_ct_FEB=0
monthly_temp_watts_FEB=0
monthly_temp_ct_MAR=0
monthly_temp_watts_MAR=0
print("###################################################### TOTAL TEMP HISTORY FOR 77 DAYS ###################################################### \n")
for i in App3_History:
if i<=31:
monthly_temp_watts_JAN+=App3_History[i].temp_power
monthly_temp_ct_JAN+=App3_History[i].temp_cost
if i>31 and i<=59:
monthly_temp_watts_FEB+=App3_History[i].temp_power
monthly_temp_ct_FEB+=App3_History[i].temp_cost
if i>59:
monthly_temp_ct_MAR+=App3_History[i].temp_cost
monthly_temp_watts_MAR+=App3_History[i].temp_power
print( "_ - _ - _ - _ Power used for each Month _ - _ - _ - _ \n")
print( "Jan APP3 watts used : ",monthly_temp_watts_JAN )
print( "FEB APP3 watts used : ",monthly_temp_watts_FEB )
print( "MAR APP3 watts used : ",monthly_temp_watts_MAR )
print( "_ - _ - _ - _ Cost used for each Month _ - _ - _ - _ \n")
print( "Jan APP3 cost used : ",monthly_temp_ct_JAN )
print( "FEB APP3 cost used : ",monthly_temp_ct_FEB )
print( "MAR APP3 cost used : ",monthly_temp_ct_MAR )
print( "################################################################################################################################################################# \n")
print("January Total cost",monthly_temp_ct_JAN+monthly_cost2_JAN+monthly_cost1_JAN)
print("Febuary Total cost",monthly_temp_ct_FEB+monthly_cost2_FEB+monthly_cost1_FEB)
print("March Total cost",monthly_temp_ct_MAR+monthly_cost2_FEB+monthly_cost1_MAR)
print("January Total Watts",monthly_temp_watts_JAN+monthly_power2_JAN+monthly_power1_JAN)
print("Febuary Total Watts",monthly_temp_watts_FEB+monthly_power2_FEB+monthly_power1_FEB)
print("March Total Watts",monthly_temp_watts_MAR+monthly_power2_MAR+monthly_power1_MAR)
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