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StockScrapper.py
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import requests, zipfile, io,os,datetime,csv
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
import math
import pandas
import shutil
import os
from openpyxl import load_workbook
import xlsxwriter
from bs4 import BeautifulSoup
import csv
import time
if not os.path.exists(os.getcwd()+"//company"):
os.mkdir("company")
if not os.path.exists(os.getcwd()+"//temp"):
os.mkdir("temp")
if not os.path.exists(os.getcwd()+"//turnover"):
os.mkdir("turnover")
if not os.path.exists(os.getcwd()+"//nifty"):
os.mkdir("nifty")
# for Driver
local_dir = os.getcwd()+'\geckodriver.exe'
fp = webdriver.FirefoxProfile()
fp.set_preference("browser.download.folderList",2)
fp.set_preference("browser.download.manager.showWhenStarting",False)
fp.set_preference("browser.download.dir",os.getcwd()+"\\temp")
fp.set_preference("browser.helperApps.neverAsk.saveToDisk",r"text/csv (officially registered type), application/csv, text/x-csv, application/x-csv, text/x-comma-separated-values, text/comma-separated-values")
driver = webdriver.Firefox(executable_path =local_dir,firefox_profile=fp)
# driver2 = webdriver.Firefox(executable_path =local_dir,firefox_profile=fp)
# recored to update
rcd_update = 10
nifyty_header = ["DATE","OPEN ","HIGH","LOW","CLOSE","% CHG","TURNOVER(Cr)","% CHG","5 DAY AVG TURNOVER","VOLUME","CHG IN VOL","% CHG","5 DAY AVG VOL","","OI","CHG_IN_OI","% CHG","5 DAY AVG OI","VOL(CONTRACTS)","CHG IN VOL","% CHG","5 DAY AVG VOL","","OPT OI","COI","% CHG","5 DAY AVG OI","VOL(CONTRACTS)","CHG IN VOL","% CHG","5 DAY AVG VOL"]
company_name =["INFRATEL","BRITANNIA","HCLTECH","ITC","SHREECEM","EICHERMOT","CIPLA","SUNPHARMA","COALINDIA","BHARTIARTL","HINDUNILVR","TITAN","ONGC","LT","TECHM","GAIL","ASIANPAINT","DRREDDY","NTPC","WIPRO","POWERGRID","NESTLEIND","BAJAJ-AUTO","TATAMOTORS","BPCL","ULTRACEMCO","IOC","VEDL","MARUTI","UPL","BAJAJFINSV","HEROMOTOCO","HINDALCO","ADANIPORTS","SBIN","TATASTEEL","RELIANCE","JSWSTEEL","INFY","M&M","GRASIM","TCS","HDFCBANK","KOTAKBANK","BAJFINANCE","AXISBANK","HDFC","ICICIBANK","ZEEL","INDUSINDBK"]
months = ["JAN","FEB","MAR","APR","MAY","JUN","JUL","AUG","SEP","OCT","NOV","DEC"]
feildName=["DATE","OPEN","HIGH","LOW","CLOSE","%CHG","VWAP","5 DAY VWAP","TURNOVER","5 DAY AVG TURNOVER","VOLUME","CHNG IN VOL","%CHANGE","5 DAY AVG VOL","","OL","CHG_IN_OI","%CHANGE","5 DAYS AVG OI","TURNOVER","5 DAY AVG TURNOVER","VOL(CONTRACTS)","CHG IN VOL","% CHG","5 DAYS AVG VOL","","OPEN_INT","CHG_IN_OI","% CHANGE","5 DAYS AVG OI","TURNOVER","5 DAY AVG TURNOVER","VOL(CONTRACTS)","CHG IN VOL","%CHANGE","5 DAYS AVG VOL"]
# for retry of request of download
retry_strategy = Retry(
total=3,
status_forcelist=[429, 500, 502, 503, 504],
method_whitelist=["HEAD", "GET", "OPTIONS"]
)
adapter = HTTPAdapter(max_retries=retry_strategy)
http = requests.Session()
http.mount("https://", adapter)
http.mount("http://", adapter)
# company_name = ["SBIN"]
feildName=["DATE","OPEN","HIGH","LOW","CLOSE","%CHG","VWAP","5 DAY VWAP","TURNOVER","5 DAY AVG TURNOVER","VOLUME","CHNG IN VOL","%CHANGE","5 DAY AVG VOL","","OL","CHG_IN_OI","%CHANGE","5 DAYS AVG OI","TURNOVER","5 DAY AVG TURNOVER","VOL(CONTRACTS)","CHG IN VOL","% CHG","5 DAYS AVG VOL","","OPEN_INT","CHG_IN_OI","% CHANGE","5 DAYS AVG OI","TURNOVER","5 DAY AVG TURNOVER","VOL(CONTRACTS)","CHG IN VOL","%CHANGE","5 DAYS AVG VOL"]
datetoday = datetime.datetime.now()
day_shift =-1
total_found = 0
fileIndex =[]
daylist = []
while(total_found!=rcd_update+4):
# DateMaker and FileNameMaker
day_shift +=1
new_date = datetoday - datetime.timedelta(days=day_shift)
new_day = (new_date).day
if(new_day<10):
new_day = "0"+ str(new_day)
new_month = months[(new_date).month-1]
new_year = (new_date).year
filename = "fo"+str(new_day)+new_month+str(new_year)+"bhav.csv"
addr = "https://www1.nseindia.com/content/historical/DERIVATIVES/"+str(new_year)+r'/'+ new_month + r'/'+filename+'.zip'
if(os.path.exists(os.getcwd()+"\\temp\\"+filename)):
total_found +=1
daylist.append(str(new_day)+"-"+str(new_month)+"-"+str(new_year))
print(str(new_day)+"-"+str(new_month)+"-"+str(new_year), "day file exists")
fileIndex.append(filename)
else:
p = 1
while p:
try:
r = requests.get(addr,timeout=5)
p =0
except:
print("failed to fetch slow conection retrying")
pass
# r = requests.get(addr,timeout=20)
if(r.status_code == 200):
z = zipfile.ZipFile(io.BytesIO(r.content))
z.extractall()
total_found +=1
fileIndex.append(filename)
daylist.append(str(new_day)+"-"+str(new_month)+"-"+str(new_year))
print(str(new_day)+"-"+str(new_month)+"-"+str(new_year), "day file Downloaded")
# To move the files
dest = shutil.move(os.getcwd()+"\\"+filename, os.getcwd()+"\\temp\\"+filename)
print("all bhav files downloaded")
# extra_day = str(daylist[-1])
# daylist = daylist[:-1]
# extra_day_file = fileIndex[-1]
# fileIndex = fileIndex[:-1]
if (months.index(daylist[-1][3:6])+1)<9 :
month_start = "0"+str(months.index(daylist[-1][3:6])+1)
else:
month_start = str(months.index(daylist[-1][3:6])+1)
if (months.index(daylist[0][3:6]))<9 :
month_end = "0"+str(months.index(daylist[0][3:6])+1)
else:
month_end = str(months.index(daylist[0][3:6])+1)
end_day = daylist[-1][0:3]+ month_start+ daylist[-1][6:]
start_day = daylist[0][0:3]+month_end+ daylist[0][6:]
all_days_df = []
for i,filename in enumerate(fileIndex):
df = pandas.read_csv(os.getcwd()+"\\temp\\"+filename)
all_days_df.append(df)
driver.get("https://www1.nseindia.com/products/content/equities/equities/eq_security.htm")
for company in company_name:
# to decide whether to create or append
create_new =1
continue_from = 0
# append_ = 0
if (os.path.exists(os.getcwd()+"\\company\\"+company+".xlsx")):
edit_date = daylist[rcd_update-1]
append_ = 1
create_new = 0
ty = pandas.read_excel(os.getcwd()+"\\company\\"+company+".xlsx").iloc[:,0]
for i in range(ty.size):
if(i>2 and ty.iloc[i].upper() == edit_date):
append_ = 0
continue_from = i
break
# # for turnover in cash of each company
# driver2.get(r"https://www1.nseindia.com/companytracker/cmtracker.jsp?symbol="+company+"&cName=cmtracker_nsedef.css")
# driver2.find_element_by_xpath('//*[@id="tab52"]/a').click()
# WebDriverWait(driver2, 60).until(EC.presence_of_element_located((By.XPATH, "/html/body/table/tbody/tr[4]/td/table/tbody/tr/td[1]/div/table/tbody/tr/td/table/tbody/tr[2]/td[2]/form/table/tbody/tr/td[1]/table/tbody/tr[1]/td/table/tbody/tr/td[2]/nobr/b")))
# ele = driver2.find_element_by_xpath('/html/body/table/tbody/tr[4]/td/table/tbody/tr/td[1]/div/table/tbody/tr/td/table/tbody/tr[2]/td[2]/form/table/tbody/tr/td[1]/table/tbody/tr[1]/td/table/tbody/tr/td[4]/nobr/input')
# ele.clear()
# ele.send_keys(end_day)
# ele = driver2.find_element_by_xpath('/html/body/table/tbody/tr[4]/td/table/tbody/tr/td[1]/div/table/tbody/tr/td/table/tbody/tr[2]/td[2]/form/table/tbody/tr/td[1]/table/tbody/tr[1]/td/table/tbody/tr/td[8]/nobr/input')
# ele.clear()
# ele.send_keys(start_day)
# driver2.find_element_by_xpath('/html/body/table/tbody/tr[4]/td/table/tbody/tr/td[1]/div/table/tbody/tr/td/table/tbody/tr[2]/td[2]/form/table/tbody/tr/td[1]/table/tbody/tr[1]/td/table/tbody/tr/td[9]/input').click()
# WebDriverWait(driver2, 60).until(EC.presence_of_element_located((By.XPATH,'/html/body/table/tbody/tr[4]/td/table/tbody/tr/td[1]/div/table/tbody/tr/td/table/tbody/tr[2]/td[2]/form/table/tbody/tr/td[1]/table/tbody/tr[4]/td/a')))
# tuname = driver2.find_element_by_xpath('/html/body/table/tbody/tr[4]/td/table/tbody/tr/td[1]/div/table/tbody/tr/td/table/tbody/tr[2]/td[2]/form/table/tbody/tr/td[1]/table/tbody/tr[4]/td/a').get_attribute("href")
# tuname = tuname.split(r"/")[-1]
# if (not os.path.exists(os.getcwd()+"\\temp\\"+tuname)):
# driver2.find_element_by_xpath('/html/body/table/tbody/tr[4]/td/table/tbody/tr/td[1]/div/table/tbody/tr/td/table/tbody/tr[2]/td[2]/form/table/tbody/tr/td[1]/table/tbody/tr[4]/td/a').click()
# # shutil.move(os.getcwd()+"\\"+tuname,os.getcwd()+"\\temp\\"+tuname)
# try:
# while (not os.path.exists(os.getcwd()+"\\temp\\"+tuname)):
# time.sleep(0.1)
# gframe = pandas.read_csv(os.getcwd()+"\\temp\\"+tuname)
# except:
# time.sleep(0.2)
# gframe = pandas.read_csv(os.getcwd()+"\\temp\\"+tuname)
# tuurn_avg =[]
# pframe= gframe.iloc[0:,[0,1]]
# tuurn = list(pframe.iloc[:,1])
# for i in range(pframe.iloc[:,0].size):
# if ( i<4):
# tuurn_avg.append(0)
# else:
# tuurn_avg.append((pframe.iloc[i-4][1]+pframe.iloc[i][1]+pframe.iloc[i-1][1]+pframe.iloc[i-2][1]+pframe.iloc[i-3][1])/5 )
# # print(daylist,"dates /for turnover of each company data",gframe.iloc[0:,0])
totalRecord = 0
# i=1
dataForCSV=[]
elem = driver.find_element_by_name("symbol")
elem.clear()
elem.send_keys(company)
driver.find_element_by_xpath("//select[@name='dataType']/option[text()='Security-wise Price volume & Deliverable position data']").click()
driver.find_element_by_xpath("//select[@name='series']/option[text()='EQ']").click()
TE = "3 months"
driver.find_element_by_xpath("//select[@name='dateRange']/option[text()='"+TE+"']").click()
driver.find_element_by_xpath('//*[@id="get"]').click()
WebDriverWait(driver, 60).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[2]/div[3]/div[2]/div[1]/div[3]/div/div[3]/table/tbody")))
while driver.find_element_by_xpath("/html/body/div[2]/div[3]/div[2]/div[1]/div[3]/div/div[3]/table/tbody/tr[2]/td[1]").text != company:
print(company,driver.find_element_by_xpath('/html/body/div[2]/div[3]/div[2]/div[1]/div[3]/div/div[3]/table/tbody/tr[2]/td[1]').text)
WebDriverWait(driver, 60).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[2]/div[3]/div[2]/div[1]/div[3]/div/div[3]/table/tbody")))
with open('temp.csv', 'w', newline='') as csvfile:
spamwriter = csv.writer(csvfile,quotechar='|', quoting=csv.QUOTE_MINIMAL)
for a in (driver.find_element_by_xpath('//*[@id="csvContentDiv"]').get_attribute("innerHTML")).replace('"',"").replace(" ","").split(":"):
ne = list(a.split(","))
spamwriter.writerow(ne)
a = pandas.read_csv("temp.csv")
a.dropna(axis=0,inplace=True)
i = -1
while(i>-1*(rcd_update+5)):
# print(i)
l = []
l.append(a.iloc[i].Date)
l.append(a.iloc[i].OpenPrice)
l.append(a.iloc[i].HighPrice)
l.append(a.iloc[i].LowPrice)
l.append(a.iloc[i].ClosePrice)
# change in open and close price
l.append(((a.iloc[i].ClosePrice - a.iloc[i-1].ClosePrice)/a.iloc[i-1].ClosePrice*100).round(2))
l.append(a.iloc[i].AveragePrice)
l.append(((a.iloc[i].AveragePrice+a.iloc[i-1].AveragePrice+a.iloc[i-2].AveragePrice+a.iloc[i-3].AveragePrice+a.iloc[i-4].AveragePrice)/5).round(2))
l.append(a.iloc[i].Turnover)
l.append(((a.iloc[i].Turnover+a.iloc[i-1].Turnover+a.iloc[i-2].Turnover+a.iloc[i-3].Turnover+a.iloc[i-4].Turnover)/5).round(2))
l.append(a.iloc[i].TotalTradedQuantity)
l.append(a.iloc[i].TotalTradedQuantity-a.iloc[i-1].TotalTradedQuantity)
l.append(((a.iloc[i].TotalTradedQuantity-a.iloc[i-1].TotalTradedQuantity)/a.iloc[i-1].TotalTradedQuantity*100).round(2))
l.append(((a.iloc[i].TotalTradedQuantity+a.iloc[i-1].TotalTradedQuantity+a.iloc[i-2].TotalTradedQuantity+a.iloc[i-3].TotalTradedQuantity+a.iloc[i-4].TotalTradedQuantity)/5).round(2))
dataForCSV.append(l)
i-=1
# since df are in order lastes -> oldest
# and dataForCSV in oldest -> latest
dataForCSV = dataForCSV[::-1]
Future_Data = []
Option_Data = []
for i,df in enumerate(all_days_df[::-1]):
df = df[df.SYMBOL.isin([company])]
df2 = df[df.INSTRUMENT.isin(["FUTSTK"])]
sum1 = df2["OPEN_INT"].sum()
sum2 = df2["CONTRACTS"].sum()
sum5 = df2['VAL_INLAKH'].sum()
df3 = df[df.INSTRUMENT.isin(["OPTSTK"])]
sum3 = df3["OPEN_INT"].sum()
sum4 = df3["CONTRACTS"].sum()
sum6 = df3["VAL_INLAKH"].sum()
del(df)
del(df2)
del(df3)
if(i<4):
dataForCSV[i]= dataForCSV[i][:-4]+dataForCSV[i][-4:]+["",sum1,0,0,0,sum5,0,sum2,0,0,0,"",sum3,0,0,0,sum6,0,sum4,0,0,0]
Future_Data.append([sum1,0,0,0,sum5,0,sum2,0,0,0])
Option_Data.append([sum3,0,0,0,sum6,0,sum4,0,0,0])
else:
# print(i)
OIchange = (sum1 - float(Future_Data[i-1][0]))
OIchange_ = round(OIchange*100/float(Future_Data[i-1][0]),2)
OIAvg =int((sum1+float(Future_Data[i-1][0])+float(Future_Data[i-2][0])+float(Future_Data[i-3][0])+float(Future_Data[i-1][0]))/5)
cont_change = (sum2 - float(Future_Data[i-1][6]))
cont_change_ = round(cont_change*100/float(Future_Data[i-1][6]),2)
cont_Avg =int((sum2+float(Future_Data[i-1][6])+float(Future_Data[i-2][6])+float(Future_Data[i-3][6])+float(Future_Data[i-4][6]))/5)
FutTur_Avg = int((sum5+float(Future_Data[i-1][4])+float(Future_Data[i-2][4])+float(Future_Data[i-3][4])+float(Future_Data[i-4][4]))/5)
oichange = (sum3 -float(Option_Data[i-1][0]))
oichange_ = round(oichange*100/float(Option_Data[i-1][0]),2)
oiAvg =int((sum3+float(Option_Data[i-1][0])+float(Option_Data[i-2][0])+float(Option_Data[i-3][0])+float(Option_Data[i-1][0]))/5)
con_change = (sum4 - float(Option_Data[i-1][6]))
con_change_ = round(con_change*100/float(Option_Data[i-1][6]),2)
con_Avg =int((sum4+float(Option_Data[i-1][6])+float(Option_Data[i-2][6])+float(Option_Data[i-3][6])+float(Option_Data[i-4][6]))/5)
OptTur_Avg = int((sum6+float(Option_Data[i-1][4])+float(Option_Data[i-2][4])+float(Option_Data[i-3][4])+float(Option_Data[i-4][4]))/5)
Future_Data.append([sum1,OIchange,OIchange_,OIAvg,sum5,FutTur_Avg,sum2,cont_change,cont_change_,cont_Avg])
Option_Data.append([sum3,oichange,oichange_,oiAvg,sum6,OptTur_Avg,sum4,con_change,con_change_,con_Avg])
dataForCSV[i]= dataForCSV[i][:-4]+dataForCSV[i][-4:]+["",sum1,OIchange,OIchange_,OIAvg,sum5,FutTur_Avg,sum2,cont_change,cont_change_,cont_Avg,"",sum3,oichange,oichange_,oiAvg,sum6,OptTur_Avg,sum4,con_change,con_change_,con_Avg]
if(create_new):
workbook = xlsxwriter.Workbook(os.getcwd() + "\\company\\"+company+'.xlsx')
worksheet = workbook.add_worksheet()
worksheet.set_row(2, 60)
merge_format1 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#59db99'})
merge_format2 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#d0aa5b'})
merge_format3 = workbook.add_format({
'bold': 1,
'border': 1,
'border_color':'black',
'align': 'center',
'valign': 'vcenter',
'fg_color': '1fa1b8'})
merge_format4 = workbook.add_format({
'font_name':"Calibri",
'border': 1,
'align': 'center',
"font_size" : 48,
'valign': 'vcenter',
'bg_color': '#F2F2F2'})
worksheet.merge_range('A1:AJ1', company, merge_format4)
# worksheet.merge_range('B3:L3',"")
worksheet.merge_range('B3:N3', 'Cash', merge_format1)
worksheet.merge_range('P3:Y3', 'Future', merge_format2)
worksheet.merge_range('AA3:AJ3', 'Option',merge_format3)
row = 4
for i in range(len(feildName)):
worksheet.write(3,i,feildName[i])
for element in dataForCSV[4:]:
for i in range(len(element)):
worksheet.write(row,i,element[i])
row+=1
workbook.close()
elif(continue_from !=0) :
p = pandas.read_excel(os.getcwd()+"\\company\\"+company+".xlsx").drop([0,1])
p.columns = p.iloc[0]
p = p.drop([2,])
Add_row = []
for i in range(p.iloc[:continue_from-3,0].size):
row_data = p.iloc[i,:]
# Add_row.append(row_data)
new_row = []
for element in row_data:
if(str(element) == 'nan'):
new_row.append("")
else:
new_row.append(element)
Add_row.append(new_row)
final_row_data = Add_row+dataForCSV[4:]
workbook = xlsxwriter.Workbook(os.getcwd() + "\\company\\"+company+'.xlsx')
worksheet = workbook.add_worksheet()
worksheet.set_row(2, 60)
merge_format1 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#59db99'})
merge_format2 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#d0aa5b'})
merge_format3 = workbook.add_format({
'bold': 1,
'border': 1,
'border_color':'black',
'align': 'center',
'valign': 'vcenter',
'fg_color': '1fa1b8'})
merge_format4 = workbook.add_format({
'font_name':"Calibri",
'border': 1,
'align': 'center',
"font_size" : 48,
'valign': 'vcenter',
'bg_color': '#F2F2F2'})
worksheet.merge_range('A1:AJ1', company, merge_format4)
# worksheet.merge_range('B3:L3',"")
worksheet.merge_range('B3:N3', 'Cash', merge_format1)
worksheet.merge_range('P3:Y3', 'Future', merge_format2)
worksheet.merge_range('AA3:AJ3', 'Option',merge_format3)
row = 4
for i in range(len(feildName)):
worksheet.write(3,i,feildName[i])
for element in final_row_data:
for i in range(len(element)):
worksheet.write(row,i,element[i])
row+=1
workbook.close()
else:
wb = load_workbook((os.getcwd() + "\\company\\"+company+'.xlsx'))
ws = wb.worksheets[0]
for row_data in dataForCSV[4:]:
ws.append(row_data)
wb.save((os.getcwd() + "\\company\\"+company+'.xlsx'))
print(company," Data computed")
# driver2.close()
# from selenium import webdriver
# driver = webdriver.Firefox(executable_path =local_dir,firefox_profile=fp)
# code is for Turnover Xlsx
col= ["Date","1","IndexFuture","3","4","5","StockFuture","7","8","IndexOption","10","11","12","StockOption","14","15","16","17"]
finalColoumn =["DATE","INDEX FUTURES(Cr)","% CHG","5 DAYS AVG","","INDEX OPTIONS(Cr)","% CHG","5 DAYS AVG","PCR","","STOCK FUTURES(Cr)","% CHG","5 DAYS AVG","","STOCK OPTIONS(Cr)","% CHG","5 DAYS AVG","PCR"]
month = ""
finalData = []
month_list = []
f_name = []
for element in daylist:
# print(daylist)
# print(element[3:6])
if element[3:6] not in month_list:
month_list.append(element[3:6])
month = element[3:6]
index = months.index(month.upper())
f_name.append("fo_turn"+element[3:6].lower()+element[7:]+".htm")
for l,nm in enumerate(f_name):
op = l+2
driver.get('https://www1.nseindia.com//products/content/derivatives/equities/'+nm)
data = driver.find_element_by_xpath('/html/body/table').text[394:].split("\n")
for i,each in enumerate(data):
data[i] = each.split(" ")
with open('temp'+str(op)+'.csv', 'w', newline='') as csvfile:
spamwriter = csv.writer(csvfile)
spamwriter.writerow(col)
for a in data:
spamwriter.writerow(a)
df = pandas.read_csv("temp2.csv")
if(len(f_name)==2):
df = pandas.concat([pandas.read_csv("temp3.csv"),df])
elif(len(f_name)==3):
df = pandas.concat([pandas.read_csv("temp3.csv"),df])
df = pandas.concat([pandas.read_csv("temp4.csv"),df])
i=-1
# print(df)
while df.iloc[i].Date.upper() in daylist:
# print(i)
l = []
l.append(df.iloc[i].Date.upper())
l.append(df.iloc[i].IndexFuture)
if(i>-1*rcd_update-1):
l.append(((df.iloc[i].IndexFuture-df.iloc[i-1].IndexFuture)/df.iloc[i-1].IndexFuture*100).round(2))
l.append(((df.iloc[i].IndexFuture+df.iloc[i-1].IndexFuture+df.iloc[i-2].IndexFuture+df.iloc[i-3].IndexFuture+df.iloc[i-4].IndexFuture)/5).round(2))
else:
l.append(0)
l.append(0)
l.append("")
l.append(df.iloc[i].IndexOption)
if(i>-1*rcd_update-1):
l.append(((df.iloc[i].IndexOption-df.iloc[i-1].IndexOption)/df.iloc[i-1].IndexOption*100).round(2))
l.append(((df.iloc[i].IndexOption+df.iloc[i-1].IndexOption+df.iloc[i-2].IndexOption+df.iloc[i-3].IndexOption+df.iloc[i-4].IndexOption)/5).round(2))
else:
l.append(0)
l.append(0)
l.append(df.iloc[i]["10"])
l.append("")
l.append(df.iloc[i].StockFuture)
if(i>-1*rcd_update-1):
l.append(((df.iloc[i].StockFuture-df.iloc[i-1].StockFuture)/df.iloc[i-1].StockFuture*100).round(2))
l.append(((df.iloc[i].StockFuture+df.iloc[i-1].StockFuture+df.iloc[i-2].StockFuture+df.iloc[i-3].StockFuture+df.iloc[i-4].StockFuture)/5).round(2))
else:
l.append(0)
l.append(0)
l.append("")
l.append(df.iloc[i].StockOption)
if(i>-1*rcd_update-1):
l.append(((df.iloc[i].StockOption-df.iloc[i-1].StockOption)/df.iloc[i-1].StockOption*100).round(2))
l.append(((df.iloc[i].StockOption+df.iloc[i-1].StockOption+df.iloc[i-2].StockOption+df.iloc[i-3].StockOption+df.iloc[i-4].StockOption)/5).round(2))
else:
l.append(0)
l.append(0)
l.append(df.iloc[i]["14"])
i-=1
finalData.append(l)
finalData= finalData[::-1]
# prin
create_new =1
continue_from = 0
if (os.path.exists(os.getcwd()+"\\turnover\\"+"Turnover"+".xlsx")):
edit_date = daylist[rcd_update-1]
append_ = 1
create_new = 0
ty = pandas.read_excel(os.getcwd()+"\\turnover\\"+"Turnover"+".xlsx").iloc[:,0]
for i in range(ty.size):
print(ty.iloc[i])
if(i>2 and str(ty.iloc[i]).upper() == edit_date):
append_ = 0
continue_from = i
break
# print(edit_date)
Add_row = []
if(continue_from>0):
p = pandas.read_excel((os.getcwd()+"\\turnover\\"+"Turnover"+".xlsx"))
# print("\n\n data",p.iloc[3:continue_from+1,:])
for i in range(continue_from - 3):
# row_data = p.iloc[3+i,:]
# print(row_data)
new_row = []
row_data = list(p.iloc[3+i,:])
for element in row_data:
if(str(element) == 'nan'):
new_row.append("")
else:
new_row.append(element)
Add_row.append(new_row[:-1])
# print(Add_row)
if(create_new):
workbook = xlsxwriter.Workbook(os.getcwd()+"//turnover"+"//Turnover"+'.xlsx')
worksheet = workbook.add_worksheet()
worksheet.set_row(2, 60)
merge_format1 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#59db99'})
merge_format2 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#d0aa5b'})
merge_format3 = workbook.add_format({
'bold': 1,
'border': 1,
'border_color':'black',
'align': 'center',
'valign': 'vcenter',
'fg_color': '1fa1b8'})
merge_format4 = workbook.add_format({
'font_name':"Calibri",
'border': 1,
'align': 'center',
"font_size" : 48,
'valign': 'vcenter',
'bg_color': '#F2F2F2'})
worksheet.merge_range('A1:R1',"Turnover", merge_format4)
worksheet.merge_range('B3:D3', 'Index Future', merge_format1)
worksheet.merge_range('F3:I3', 'Index Option', merge_format2)
worksheet.merge_range('K3:M3', 'Stock Future',merge_format1)
worksheet.merge_range('O3:R3', 'Stock Option',merge_format2)
row = 4
for i in range(len(finalColoumn)):
worksheet.write(3,i,finalColoumn[i])
for element in finalData[-10:]:
for i in range(len(finalColoumn)):
if(i!=0 and i!=4 and i!=9 and i!=13 ):
try:
worksheet.write(row,i,float(element[i]))
except:
print(element[i],"error",row,i)
break
else:
worksheet.write(row,i,element[i])
row+=1
workbook.close()
print("Turnover Updated")
elif(append_!=1):
workbook = xlsxwriter.Workbook(os.getcwd()+"//turnover"+"//Turnover"+'.xlsx')
worksheet = workbook.add_worksheet()
worksheet.set_row(2, 60)
merge_format1 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#59db99'})
merge_format2 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#d0aa5b'})
merge_format3 = workbook.add_format({
'bold': 1,
'border': 1,
'border_color':'black',
'align': 'center',
'valign': 'vcenter',
'fg_color': '1fa1b8'})
merge_format4 = workbook.add_format({
'font_name':"Calibri",
'border': 1,
'align': 'center',
"font_size" : 48,
'valign': 'vcenter',
'bg_color': '#F2F2F2'})
worksheet.merge_range('A1:R1',"Turnover", merge_format4)
# worksheet.merge_range('B3:L3',"")
worksheet.merge_range('B3:D3', 'Index Future', merge_format1)
worksheet.merge_range('F3:I3', 'Index Option', merge_format2)
worksheet.merge_range('K3:M3', 'Stock Future',merge_format1)
worksheet.merge_range('O3:R3', 'Stock Option',merge_format2)
row = 4
for i in range(len(finalColoumn)):
worksheet.write(3,i,finalColoumn[i])
for element in Add_row:
for i in range(len(element)):
if(i!=0 and i!=4 and i!=9 and i!=13 ):
try:
worksheet.write(row,i,float(element[i]))
except:
print(element[i],"error",row,i)
break
else:
worksheet.write(row,i,element[i])
row+=1
# row+= 5
# print(finalData)
# print(finalData[-1*rcd_update])
for element in finalData[-1*rcd_update:]:
for i in range(len(finalColoumn)):
if(i!=0 and i!=4 and i!=9 and i!=13 ):
try:
worksheet.write(row,i,float(element[i]))
except:
print(element[i],"error",row,i)
break
else:
worksheet.write(row,i,element[i])
row+=1
workbook.close()
else:
wb = load_workbook((os.getcwd() + '\\turnover\\Turnover.xlsx'))
ws = wb.worksheets[0]
for row_data in finalData[4:]:
ws.append(row_data)
wb.save((os.getcwd() + '\\turnover\\Turnover.xlsx'))
driver.get('https://www1.nseindia.com/products/content/equities/indices/historical_index_data.htm')
driver.find_element_by_xpath('//*[@id="toDate"]').send_keys(start_day)
driver.find_element_by_xpath('//*[@id="fromDate"]').send_keys(end_day)
#
for o,company_ in enumerate(["NIFTY","BANKNIFTY"]):
# print(df.iloc[:,-2])
driver.find_element_by_xpath('/html/body/div[2]/div[3]/div[2]/div[1]/div[4]/div/div[1]/div/div[2]/select/optgroup['+str(o+1)+']/option['+str(o+1)+']').click()
driver.find_element_by_xpath('/html/body/div[2]/div[3]/div[2]/div[1]/div[4]/div/div[1]/div/div[2]/select/optgroup[1]').click()
driver.execute_script(' loadindicesdata()')
WebDriverWait(driver, 60).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[2]/div[3]/div[2]/div[1]/div[4]/div/div[2]/table")))
lol = driver.find_element_by_xpath('/html/body/div[2]/div[3]/div[2]/div[1]/div[4]/div/div[2]/table').get_attribute('innerHTML')
dataForCSV = []
soup = BeautifulSoup(lol)
table = soup.select_one("tbody")
headers = [th.text for th in table.select("tr th")]
ya = [[td.text for td in row.find_all("td")] for row in table.select("tr + tr")][2:-1]
# print("printing the fetched table\n",ya)
for p,data_ in enumerate(ya):
if data_[5]=='-' or data_[5]=='_':
data_[5]= "0"
data_[6]= "0"
temp_data = []
for i,j in enumerate(data_[:5]+[data_[-1]]):
if(i>0):
temp_data.append(float(j.replace(" ","")))
else:
temp_data.append(j.replace(" ",""))
tm = temp_data.pop()
if(len(dataForCSV)>1):
temp_data.append(round((float(temp_data[4]) -float(dataForCSV[p-1][4]))/float(dataForCSV[p-1][4])*100,2))
else:
temp_data.append(0)
temp_data.append(tm)
temp_data.append(float(data_[5]))
dataForCSV.append(temp_data)
dataForCSV = dataForCSV[-1*rcd_update-4:]
# print(len(dataForCSV),dataForCSV[0] )
for i,df in enumerate(all_days_df[::-1]):
# i=j
# print(df.iloc[5,-2],dataForCSV[i][0])
df = df[df.SYMBOL.isin([company_])]
df1 = df[df.INSTRUMENT.isin(['FUTIDX'])]
df2 = df[df.INSTRUMENT.isin(['OPTIDX'])]
sum2 = df1.CONTRACTS.sum()
sum1 = df1.OPEN_INT.sum()
sum4 = df2.CONTRACTS.sum()
sum3 = df2.OPEN_INT.sum()
if i<4:
vol_df = 0
vol_dif_per = 0
vol_avg = 0
turn_dif = 0
turn_avg = 0
else:
day_skip = 0
for j in range(3):
if(float(dataForCSV[i-2-j][6])==0.0):
day_skip+=1
if(float(dataForCSV[i-1][6])==0.0):
turn_dif = 0
day_skip = 1
for j in range(3):
if(float(dataForCSV[i-2-j][6])==0.0):
day_skip+=1
turn_avg = round((float(dataForCSV[i][6])+float(dataForCSV[i-1][6])+float(dataForCSV[i-2][6])+float(dataForCSV[i-3][6])+float(dataForCSV[i-4][6]))/(5-day_skip),2)
vol_df = 0
vol_dif_per = 0
print(day_skip,i)
vol_avg = round((float(dataForCSV[i][7])+float(dataForCSV[i-1][9])+float(dataForCSV[i-2][9])+float(dataForCSV[i-3][9])+float(dataForCSV[i-4][9]))/(5-day_skip),2)
elif(float(dataForCSV[i][6])==0.0):
turn_dif = 0
day_skip = 1
for j in range(4):
if(float(dataForCSV[i-1-j][6])==0.0):
day_skip+=1
turn_avg = round((float(dataForCSV[i][6])+float(dataForCSV[i-1][6])+float(dataForCSV[i-2][6])+float(dataForCSV[i-3][6])+float(dataForCSV[i-4][6]))/(5-day_skip),2)
vol_df = 0
vol_dif_per = 0
print(day_skip,i)
vol_avg = round((float(dataForCSV[i][7])+float(dataForCSV[i-1][9])+float(dataForCSV[i-2][9])+float(dataForCSV[i-3][9])+float(dataForCSV[i-4][9]))/(5-day_skip),2)
else:
turn_dif = round((float(dataForCSV[i][6])-float(dataForCSV[i-1][6]))/float(dataForCSV[i-1][6])*100,2)
turn_avg = round((float(dataForCSV[i][6])+float(dataForCSV[i-1][6])+float(dataForCSV[i-2][6])+float(dataForCSV[i-3][6])+float(dataForCSV[i-4][6]))/(5-day_skip),2)
vol_df = (float(dataForCSV[i][7])-float(dataForCSV[i-1][9]))
vol_dif_per = round((float(dataForCSV[i][7])-float(dataForCSV[i-1][9]))/float(dataForCSV[i-1][9])*100,2)
vol_avg = round((float(dataForCSV[i][7])+float(dataForCSV[i-1][9])+float(dataForCSV[i-2][9])+float(dataForCSV[i-3][9])+float(dataForCSV[i-4][9]))/(5-day_skip),2)
# print(dataForCSV[i])
if i<4 :
dataForCSV[i]= dataForCSV[i][:-1]+[turn_dif,turn_avg]+[dataForCSV[i][-1]]+[vol_df,vol_dif_per,vol_avg]+["",sum1,0,0,0,sum2,0,0,0,"",sum3,0,0,0,sum4,0,0,0]
else:
OIchange = (sum1 - float(dataForCSV[i-1][14]))
OIchange_ = round(OIchange*100/float(dataForCSV[i-1][14]),2)
OIAvg =int((sum1+float(dataForCSV[i-1][14])+float(dataForCSV[i-2][14])+float(dataForCSV[i-3][14])+float(dataForCSV[i-4][14]))/5)
cont_change = (sum2 - float(dataForCSV[i-1][18]))
cont_change_ = round(cont_change*100/float(dataForCSV[i-1][18]),2)
cont_Avg =int((sum2+float(dataForCSV[i-1][18])+float(dataForCSV[i-2][18])+float(dataForCSV[i-3][18])+float(dataForCSV[i-4][18]))/5)
oichange = (sum3 - float(dataForCSV[i-1][23]))
oichange_ = round(oichange*100/float(dataForCSV[i-1][23]),2)
oiAvg =int((sum3+float(dataForCSV[i-1][23])+float(dataForCSV[i-2][23])+float(dataForCSV[i-3][23])+float(dataForCSV[i-4][23]))/5)
con_change = (sum4 - float(dataForCSV[i-1][27]))
con_change_ = round(con_change*100/float(dataForCSV[i-1][27]),2)
con_Avg =int((sum4+float(dataForCSV[i-1][27])+float(dataForCSV[i-2][27])+float(dataForCSV[i-3][27])+float(dataForCSV[i-4][27]))/5)
dataForCSV[i]= dataForCSV[i][:-1]+[turn_dif,turn_avg]+[dataForCSV[i][-1]]+[vol_df,vol_dif_per,vol_avg]+["",sum1,OIchange,OIchange_,OIAvg,sum2,cont_change,cont_change_,cont_Avg,"",sum3,oichange,oichange_,oiAvg,sum4,con_change,con_change_,con_Avg]
# print("appended",dataForCSV[i][0])
# create_new =1
# continue_from = 0
# if (os.path.exists(os.getcwd()+ "/nifty/"+company_+'.xlsx')):
# last_saved_date = pandas.read_excel(os.getcwd()+ "/nifty/"+company_+'.xlsx').iloc[:,0].iloc[-1]
# data_should_append =1
# create_new = 0
# continue_from = 5
# for i in range(len(dataForCSV[5:])):
# if(dataForCSV[5+i][0] == last_saved_date):
# create_new = 0
# continue_from = 6+i
# break
create_new =1
continue_from = 0
if (os.path.exists(os.getcwd()+ "\\nifty\\"+company_+'.xlsx')):
edit_date = daylist[rcd_update-1]
append_ = 1
create_new = 0
ty = pandas.read_excel(os.getcwd()+ "\\nifty\\"+company_+'.xlsx').iloc[:,0]
for i in range(ty.size):
# print(ty.iloc[i])
# print(str(ty.iloc[i]).upper())
if(i>2 and str(ty.iloc[i]).upper() == edit_date):
# print(str(ty.iloc[i]).upper())
append_ = 0
continue_from = i
break
# print(continue_from,ty,edit_date)
Add_row = []
if(continue_from>0):
p = pandas.read_excel(os.getcwd()+ "\\nifty\\"+company_+'.xlsx')
for i in range(continue_from - 3):
new_row = []
row_data = list(p.iloc[3+i,:])
# print(row_data)
for element in row_data:
if(str(element) == 'nan'):
new_row.append("")
else:
new_row.append(element)
Add_row.append(new_row[:])
# # print(Add_row)
# # print(dataForCSV)
if(create_new):
workbook = xlsxwriter.Workbook(os.getcwd()+ "\\nifty\\"+company_+'.xlsx')
worksheet = workbook.add_worksheet()
worksheet.set_row(2, 60)
merge_format1 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#59db99'})
merge_format2 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#d0aa5b'})
merge_format3 = workbook.add_format({
'bold': 1,
'border': 1,
'border_color':'black',
'align': 'center',
'valign': 'vcenter',
'fg_color': '1fa1b8'})
merge_format4 = workbook.add_format({
'font_name':"Calibri",
'border': 1,
'align': 'center',
"font_size" : 48,
'valign': 'vcenter',
'bg_color': '#F2F2F2'})
worksheet.merge_range('A1:AE1', company_, merge_format4)
worksheet.merge_range('B3:M3', 'Cash', merge_format1)
worksheet.merge_range('O3:V3', 'Future', merge_format2)
worksheet.merge_range('X3:AE3', 'Option',merge_format3)
row = 4
for i in range(len(nifyty_header)):
worksheet.write(3,i,nifyty_header[i])
for element in dataForCSV[4:]:
for i in range(len(nifyty_header)):
if(i!=0 and i!=13 and i!= 22):
try:
worksheet.write(row,i,float(element[i]))
except:
print(element[i],"error",row,i)
break
else:
worksheet.write(row,i,element[i])
row+=1
workbook.close()
elif(append_ == 0):
workbook = xlsxwriter.Workbook(os.getcwd()+ "\\nifty\\"+company_+'.xlsx')
worksheet = workbook.add_worksheet()
worksheet.set_row(2, 60)
merge_format1 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#59db99'})
merge_format2 = workbook.add_format({
'bold': 1,
'border': 1,
'align': 'center',
'valign': 'vcenter',
'fg_color': '#d0aa5b'})
merge_format3 = workbook.add_format({
'bold': 1,
'border': 1,
'border_color':'black',
'align': 'center',
'valign': 'vcenter',
'fg_color': '1fa1b8'})
merge_format4 = workbook.add_format({
'font_name':"Calibri",
'border': 1,
'align': 'center',
"font_size" : 48,
'valign': 'vcenter',
'bg_color': '#F2F2F2'})
worksheet.merge_range('A1:AE1', company_, merge_format4)
worksheet.merge_range('B3:M3', 'Cash', merge_format1)
worksheet.merge_range('O3:V3', 'Future', merge_format2)
worksheet.merge_range('X3:AE3', 'Option',merge_format3)
row = 4
for i in range(len(nifyty_header)):
worksheet.write(3,i,nifyty_header[i])
for element in Add_row:
for i in range(len(element)):
if(i!=0 and i!=13 and i!= 22):
try:
worksheet.write(row,i,float(element[i]))
except:
print(element[i],"error",row,i)
break
else:
worksheet.write(row,i,element[i])
row+=1
for element in dataForCSV[4:]:
for i in range(len(nifyty_header)):
if(i!=0 and i!=13 and i!= 22):
try:
worksheet.write(row,i,float(element[i]))
except:
print(i,"gives error")
# print(element[i],"error",row,i)
break
else:
worksheet.write(row,i,element[i])
row+=1
workbook.close()
else:
print("data Appended")
wb = load_workbook(os.getcwd()+ "\\nifty\\"+company_+'.xlsx')
ws = wb.worksheets[0]
for row_data in dataForCSV[4:]:
ws.append(row_data)
wb.save(os.getcwd()+ "\\nifty\\"+company_+'.xlsx')
print("NIFTY AND BANKNIFTY Updated")
if os.path.exists(os.getcwd()+"//temp1.csv"):
os.remove(os.getcwd()+"//temp1.csv")
if os.path.exists(os.getcwd()+"//temp2.csv"):
os.remove(os.getcwd()+"//temp2.csv")
if os.path.exists(os.getcwd()+"//temp3.csv"):
os.remove(os.getcwd()+"//temp3.csv")
if os.path.exists(os.getcwd()+"//temp.csv"):
os.remove(os.getcwd()+"//temp.csv")
driver.close()