import sys
from bsedata.bse import BSE
import pandas as pd
import pprint
b = BSE()
b.updateScripCodes()
#store the scripts codes in BseScripCodes.txt
print(b.getScripCodes(), file=open('BseScripCodes.txt', 'wt'))
#convert scripts codes from BseScripCodes.txt to BseScripCodes.xlsx
df = pd.DataFrame(data=b.getScripCodes(), index=[0])
df = (df.T)
df.to_excel('BseScripCodes.xlsx')
def handle_data():
comp = request.form['tags']
print(comp)
b = BSE()
b.updateScripCodes()
d = b.getScripCodes()
rev_d = dict(map(reversed, d.items()))
scripcode = rev_d[comp]
print(scripcode)
quote = b.getQuote(scripcode)
company = quote["securityID"]
print(company)
# -----------READING NSE DATA
url = 'https://www.nseindia.com/api/chart-databyindex?index=' + company + 'EQN'
headers = {
'referer':
'https://www.nseindia.com/get-quotes/equity?symbol=' + company,
'Content-Type': 'application/json; charset=utf-8',
'user-agent':
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.113 Safari/537.36',
'x-requested-with': 'XMLHttpRequest'
}
nse = requests.get(url, headers=headers)
nse_text = nse.text
nsedata = json.loads(nse_text)
#print(type(nsedata["grapthData"]))
l = nsedata["grapthData"]
#-------------- READ NSE DATA , NOW BSE DATA
bse_url = 'https://api.bseindia.com/BseIndiaAPI/api/StockReachGraph/w?scripcode=' + str(
scripcode) + '&flag=0&fromdate=&todate=&seriesid='
bse = requests.get(bse_url)
bse_text = bse.text
bse_data = json.loads(bse_text)
#print(type(bsedata))
#------------ READ BSE DATA
dat = bse_data["Data"]
dat_dict = json.loads(dat)
bse_final_list = []
bse_temp_list = []
for i in dat_dict:
#print(i['dttm'])
date_obj = datetime.strptime(i['dttm'], '%a %b %d %Y %H:%M:%S')
ms = date_obj.timestamp() * 1000
ms = int(ms) + 19800000
bse_temp_list.append(ms)
bse_temp_list.append(i['dttm'])
bse_temp_list.append(float(i['vale1']))
bse_final_list.append(bse_temp_list)
bse_temp_list = []
'''
print("------------------------------------")
print(len(bse_final_list))
print(len(l))
'''
pprint(l)
print("-------------------------")
pprint(bse_final_list)
labels = []
values = []
diff_final_list = []
diff_temp_list = []
for j in bse_final_list:
for k in l:
if j[0] == k[0]:
ts = int(j[0]) / 1000
print(
datetime.utcfromtimestamp(ts).strftime(
'%Y-%m-%d %H:%M:%S'))
diff_temp_list.append(j[0])
diff = abs(float(j[2]) - float(k[1]))
labels.append(j[0])
values.append(round(diff, 2))
diff_temp_list.append(round(diff, 2))
diff_final_list.append(diff_temp_list)
diff_temp_list = []
pprint(diff_final_list)
print(labels)
print(values)
return render_template('graph.html',
labels=labels,
values=values,
name=comp,
scode=scripcode,
ccode=company)
from bsedata.bse import BSE
import json
b = BSE()
print(b)
b = BSE(update_codes=True)
while True:
main_input = int(
input(
"\nWhat You Want To Do\nPress 1 to Get The List Of Todays Top Gainers\nPress 2 to Get The List Of Todays Top Losers\nPress 3 to Get The List of the Scrip Code Of The Respective Companies\nPress 4 to Get the Information About The Company Stock by Providing the Scrip Code: "
))
scrip_code = b.getScripCodes()
Gainers = b.topGainers()
Losers = b.topLosers()
if main_input == 1:
print(json.dumps(Gainers, sort_keys=True, indent=4))
if main_input == 2:
print(json.dumps(Losers, sort_keys=True, indent=4))
if main_input == 3:
print(json.dumps(scrip_code, sort_keys=True, indent=4))
if main_input == 4:
Quote = b.getQuote(
input(
"Please Enter The Scrip Code To Get The Information About The Company Stock: "
))
print(json.dumps(Quote, sort_keys=True, indent=4))
con = int(
input("\nDo You Want to Continue\nPress 1 For Yes\nPress 2 For No: "))
from bsedata.bse import BSE
b = BSE()
data = b.getScripCodes()
# print(data)
# value = b.getQuote("507685")
# # print(value)
# data1 = b.getQuote("532540")
# print(data1)
tg = b.topGainers()
# print(tg)
tl = b.topLosers()
# print(tl)
test = b.verifyScripCode("5325402")
print(test)