import pandas as pd
import sqlite3 



'''
 The purpose of this file is to create the database(s) needed for the project. 
 
 There are two databases that are created, the first is public information and the other is copyrighted.
 
 If you don't own the code version listed you can't use this portion of the library.
 
'''



CEC21_table1 = pd.DataFrame([
                      ['14',25,30,35],
                      ['12',30,35,40],
                      ['10',40,50,55],
                      ['8',60,70,80],
                      ['6',80,95,105],
                      ['4',105,125,140],
                      ['3',120,145,165],
                      ['2',140,170,190],
                      ['1',165,195,220],
                      ['0',195,230,260],
                      ['00',220,265,300],
                      ['000',260,310,350],
                      ['0000',300,360,405],
                      ['250',340,405,455],
                      ['300',370,445,500],
                      ['350',425,505,570],
                      ['400',455,545,615],
                      ['500',520,620,700],
                      ['600',580,690,780],
                      ['700',630,755,850],
                      ['750',655,785,885],
                      ['800',680,815,920],
                      ['1000',785,870,980],
                      ['1250',890,1065,1200],
                      ['1500',985,1175,1325],
                      ['1750',1070,1280,1445],
                      ['2000',1160,1385,1560]
                     ], 
                      columns = ['size','60','75','90']
                    )

CEC21_table2 = pd.DataFrame([
                      ['14',15,20,25],
                      ['12',20,25,30],
                      ['10',30,35,40],
                      ['8',40,50,55],
                      ['6',40,50,55],
                      ['4',70,85,95],
                      ['3',85,100,115],
                      ['2',95,115,130],
                      ['1',110,130,145],
                      ['0',125,150,170],
                      ['00',145,175,195],
                      ['000',165,200,225],
                      ['0000',195,230,260],
                      ['250',215,255,290],
                      ['300',240,285,320],
                      ['350',260,310,350],
                      ['400', 280,335,380],
                      ['500',320,380,430],
                      ['600',350,420,475],
                      ['700',385,460,520],
                      ['750',400,475,535],
                      ['800',410,490,555],
                      ['900',435,520,585],
                      ['1000',455,545,615],
                      ['1250',495,590,615],
                      ['1500',525,625,705],
                      ['1750',545,650,735],
                      ['2000',555,665,750]
                     ], 
                      columns = ['size','60','75','90']
                    )

CEC21_table3 = pd.DataFrame([
                      ['12',25,30,35],
                      ['10',35,40,45],
                      ['8',45,55,60],
                      ['4',65,75,85],
                      ['3',95,115,130],
                      ['2',115,135,150],
                      ['1',1340,155,175],
                      ['0',150,180,205],
                      ['00',175,210,235],
                      ['000',200,240,270],
                      ['0000',235,280,315],
                      ['250',265,315,355],
                      ['300',295,350,395],
                      ['350',330,395,445],
                      ['400',355,425,480],
                      ['500',405,485,545],
                      ['600',455,545,615],
                      ['700',500,595,670],
                      ['750',520,620,700],
                      ['800',540,645,725],
                      ['900',585,700,790],
                      ['1000',630,750,845],
                      ['1250',715,855,965],
                      ['1500',795,950,1070],
                      ['1750',880,1050,1185],
                      ['2000',965,1150,1295]                    
                     ], 
                      columns = ['size','60','75','90']
                    )

CEC21_table4 = pd.DataFrame([
                      ['12',15,20,25],
                      ['10',25,30,35],
                      ['8',35,40,45],
                      ['6',40,50,55],
                      ['4',55,65,75],
                      ['3',65,75,85],
                      ['2',75,90,100],
                      ['1',85,100,115],
                      ['0',100,120,165],
                      ['00',115,165,150],
                      ['000',160,155,175],
                      ['0000',150,180,205],
                      ['250',170,205,230],
                      ['300',195,230,260],
                      ['350',210,250,280],
                      ['400',225,270,305],
                      ['500',260,310,350],
                      ['600',285,340,385],
                      ['700',315,375,425],
                      ['750',320,385,435],
                      ['800',330,395,445],
                      ['900',355,425,480],
                      ['1000',375,445,500],
                      ['1250',405,485,545],
                      ['1500',435,520,585],
                      ['1750',455,545,615],
                      ['2000',470,560,630]
                     ], 
                      columns = ['size','60','75','90']
                    )

CEC_table1 = CEC21_table1 
CEC_table2 = CEC21_table2 
CEC_table3 = CEC21_table3 
CEC_table4 = CEC21_table4

# 3C TECK90 1000V Aluminum power cable
# Southwire Spec 25055 Revision 1.000.010

al_3C_cable_table = pd.DataFrame([
                      ['6', 2.66],
                      ['4',1.67],
                      ['2',1.05],
                      ['1',0.83],
                      ['0',0.66],
                      ['00',0.52],
                      ['000',0.41],
                      ['0000',0.33],
                      ['250',0.28],
                      ['350',0.2],
                      ['500',0.14],
                      ['750',0.1]
                      ],
                      columns = ['size','AC Resistance']
                      )