diff --git a/CS_499_backend.py b/CS_499_backend.py
index 5fd6da3f5bd29364c9c685fd444da487ccd9a2d6..e322a46fad0dc63410400575d37e14610918eb2c 100644
--- a/CS_499_backend.py
+++ b/CS_499_backend.py
@@ -1,341 +1,270 @@
-## 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
-
+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
for i in Door_Window_History:
- 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 APP1 watts used : ",monthly_power2_JAN )
-print( "FEB APP1 watts used : ",monthly_power2_FEB )
-print( "MAR APP1 watts used : ",monthly_power2_MAR )
-print( "_ - _ - _ - _ Cost used for each Month _ - _ - _ - _ \n")
-print( "Jan APP1 cost used : ",monthly_cost2_JAN )
-print( "FEB APP1 cost used : ",monthly_cost2_FEB )
-print( "MAR APP1 cost used : ",monthly_cost2_MAR )
-print( "_ - _ - _ - _ Gallons used for each Month _ - _ - _ - _ \n")
-print( "Jan APP1 water used : ",monthly_water_usg_JAN )
-print( "FEB APP1 water used : ",monthly_water_usg_FEB )
-print( "MAR APP1 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 APP1 watts used : ",monthly_temp_watts_JAN )
-print( "FEB APP1 watts used : ",monthly_temp_watts_FEB )
-print( "MAR APP1 watts used : ",monthly_temp_watts_MAR )
-print( "_ - _ - _ - _ Cost used for each Month _ - _ - _ - _ \n")
-print( "Jan APP1 cost used : ",monthly_temp_ct_JAN )
-print( "FEB APP1 cost used : ",monthly_temp_ct_FEB )
-print( "MAR APP1 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)
-
-
-
-
-
-
-
-
-
-
-
-
-
+ 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