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Bhavcopy_BSE_Eq_17_08_2022_to_31_12_2022.py
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Bhavcopy_BSE_Eq_17_08_2022_to_31_12_2022.py
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# -*- coding: utf-8 -*-
"""
Created on Sun Aug 18 21:37:55 2024
@author: ppare
"""
import os
import sys
import socket
import zipfile
import requests
import pandas as pd
from datetime import datetime, timedelta
from requests.packages.urllib3.exceptions import InsecureRequestWarning
# Suppress only the single InsecureRequestWarning from urllib3
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
def Download_BSE_Bhavcopy_File(BSE_Bhavcopy_URL, Bhavcopy_Download_Folder):
# Download a file from the given URL to the specified output folder
filename = os.path.basename(BSE_Bhavcopy_URL)
output_path = os.path.join(Bhavcopy_Download_Folder, filename)
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}
try:
with requests.get(BSE_Bhavcopy_URL, stream=True, headers=headers, verify=False) as response:
response.raise_for_status() # Check if the request was successful
with open(output_path, 'wb') as file:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
file.write(chunk)
print(f'Eq-bhavcopy {filename} downloaded.')
return output_path
except requests.exceptions.RequestException as e:
print(formatted_date, "Bhavcopy file not available to download on BSE Server" )
return None
def Extract_BSE_Bhavcopy_Zip_Files(zip_file, Bhavcopy_Download_Folder):
# Extract files from the given ZIP file to the specified output folder
with zipfile.ZipFile(zip_file, 'r') as zip_ref:
zip_ref.extractall(Bhavcopy_Download_Folder)
print("Zip file extracted:", zip_file)
def Rename_BSE_Bhavcopy_Files(directory):
# Rename files in the specified directory to the desired format
files = os.listdir(directory)
renamed_files = []
for file in files:
if file.endswith(".csv"):
# Extract the date from the file name
date = file[-12:-4]
new_name = date + ".csv"
new_name = new_name.replace("BSE_EQ_BHAVCOPY_", "")
date_obj = datetime.strptime(date, "%d%m%Y")
new_name = date_obj.strftime("%Y-%m-%d") + "-BSE-EQ.csv"
# Rename the file
old_path = os.path.join(directory, file)
new_path = os.path.join(directory, new_name)
os.rename(old_path, new_path)
renamed_files.append((file, new_name))
else:
print(f"File '{file}' does not end with 'bhav.csv' and was not renamed.")
if renamed_files:
for old_name, new_name in renamed_files:
print(f"File '{old_name}' renamed to: '{new_name}'")
else:
print("No files found or no files meet the desired condition.")
def Modify_BSE_Bhavcopy_Files(directory):
# Modify the renamed files in the specified directory
files = os.listdir(directory)
for file in files:
if file.endswith("-BSE-EQ.csv"):
file_path = os.path.join(directory, file)
try:
# Read the CSV file
df = pd.read_csv(file_path)
# Remove the specified columns
columns_to_remove = [
"ISIN",
#"SCRIP ID",
"SCRIP_CODE",
"SC_NAME",
#"SC_GROUP",
#"OPEN PRICE",
#"HIGH PRICE",
#"LOW PRICE",
#"CLOSING PRICE",
"LAST",
"PREVIOUS CLOSE PRICE",
#"NO_OF_SHRS",
"NET_TURNOV",
#"TRADING_DATE",
"NO_TRADES",
"SC_TYPE",
"TDCLOINDI",
"Settlement Price",
]
df = df.drop(columns=columns_to_remove)
Mutual_Fund_symbol_to_remove = [
'SENSEX1', 'SBISENSEX', 'CPSEETF', 'SENSEXBEES', 'SETFBSE100', 'UTISENSETF',
'HDFCSENSEX', 'BSLSENETFG', 'IDFSENSEXE', 'ICICIB22', 'BSE500IETF', 'SETFSN50',
'UTISXN50', 'SNXT50BEES', 'SENSEXADD', 'SENSEXETF', 'SENSEXIETF', 'MOM100',
'NIFTYIETF', 'NIF100IETF', 'NIF100BEES', 'NIFTY1', 'UTINIFTETF', 'LICNETFN50',
'HDFCNIFTY', 'LICNFNHGP', 'NV20IETF', 'MIDSELIETF', 'LOWVOLIETF', 'UTINEXT50',
'NEXT50IETF', 'NIFTYETF', 'ABSLNN50ET', 'BANKIETF', 'PVTBANIETF', 'NIESSPJ',
'NIESSPC', 'NIEHSPI', 'NIESSPE', 'NIEHSPD', 'NIEHSPE', 'NIESSPK', 'NIEHSPG',
'NIEHSPH', 'NIEHSPL', 'NIESSPL', 'NIESSPM', 'ABSLBANETF', 'MIDCAPIETF', 'NEXT50',
'08MPD', '08GPG', '11DPR', '11GPG', '11MPD', '11MPR', '11QPD', '11AGG', '11AMD',
'11DPD', 'ALPL30IETF', 'ITIETF', 'HDFCNIFBAN', 'UTIBANKETF', 'ESG', 'INFRABEES',
'MAFANG', 'HEALTHIETF', 'BFSI', 'FMCGIETF', 'AXISTECETF', 'AXISHCETF', 'AXISCETF',
'MASPTOP50', 'CONSUMIETF', 'EQUAL50ADD', 'MAHKTECH', 'MONQ50', 'MIDQ50ADD',
'NIFTY50ADD', 'AUTOIETF', 'MAKEINDIA', 'MOMOMENTUM', 'TECH', 'HEALTHY', 'BSLNIFTY',
'MIDCAPETF', 'MOLOWVOL', 'MOHEALTH', 'MOM30IETF', 'HDFCNIF100', 'HDFCNEXT50',
'INFRAIETF', 'NIFTYQLITY', 'MOMENTUM', 'MOVALUE', 'MOQUALITY', 'HDFCQUAL',
'HDFCGROWTH', 'HDFCVALUE', 'HDFCLOWVOL', 'HDFCMOMENT', 'HDFCNIFIT', 'HDFCPVTBAN',
'FINIETF', 'COMMOIETF', 'BANKETFADD', 'HDFCBSE500', 'HDFCSML250', 'HDFCMID150',
'PSUBNKIETF', 'AXSENSEX', 'LOWVOL', 'ITETFADD', 'BANKETF', 'PSUBANKADD',
'PVTBANKADD', 'QUAL30IETF', 'NIFMID150', 'NAVINIFTY', 'ITETF', 'ALPHAETF',
'NIFTYBETF', 'BANKBETF', 'NIFITETF', 'HDFCPSUBK', 'LICNMID100', 'SMALLCAP',
'MIDSMALL', 'MID150CASE', 'TOP100CASE', 'BBNPNBETF', 'EVINDIA', 'SBINEQWETF',
'OILIETF', 'ABSLPSE', 'NIFTYBEES', 'JUNIORBEES', 'BANKBEES', 'PSUBANK',
'PSUBNKBEES', 'SHARIABEES', 'QNIFTY', 'MOM50', 'BANKNIFTY1', 'SETFNIFBK',
'SETFNIF50'
]
# Filter out rows where 'TckrSymb' is in the list of values to remove
df = df[~df['SCRIP ID'].isin(Mutual_Fund_symbol_to_remove)]
# Filter rows based on SERIES column
df = df[df['SC_GROUP'].isin(['A', 'B', 'M',"MS","MT","P","R","T","W","X","XT","Z","ZP"])]
# Convert the 'TradDt' column to datetime by inferring the format
df['TRADING_DATE'] = pd.to_datetime(df['TRADING_DATE'], errors='coerce')
# Check if there are any NaT (Not a Time) values which indicate conversion issues
if df['TRADING_DATE'].isna().any():
print("There are some dates that couldn't be converted:")
print(df[df['TRADING_DATE'].isna()])
# Convert the datetime object to the desired string format
df['TRADING_DATE'] = df['TRADING_DATE'].dt.strftime('%Y%m%d')
# Reorder the columns
cols = df.columns.tolist()
cols.remove('TRADING_DATE')
cols.insert(cols.index('OPEN PRICE'), 'TRADING_DATE')
df = df[cols]
# Remove the SC_GROUP column
df = df.drop(columns=['SC_GROUP'])
# Sort the DataFrame by the 'TckrSymb' column
df = df.sort_values(by='SCRIP ID')
# Save the modified dataframe back to CSV
df.to_csv(file_path, index=False, header=False)
print(f"{file} :Eq_Bhavcopy Data Structure converted to getbhavcopy")
except FileNotFoundError:
print(f"File not found: {file}")
def change_file_extension(Bhavcopy_Download_Folder, old_extension, new_extension):
# Iterate through all files in the folder
for filename in os.listdir(Bhavcopy_Download_Folder):
# Check if the file ends with the old extension
if filename.endswith("-BSE-EQ.csv"):
# Split the filename into name and extension, and replace the extension with the new extension
new_filename = os.path.splitext(filename)[0] + ".txt"
# Construct the full path of the old file
old_filepath = os.path.join(Bhavcopy_Download_Folder, filename)
# Construct the full path of the new file
new_filepath = os.path.join(Bhavcopy_Download_Folder, new_filename)
# Rename the old file to the new file
os.rename(old_filepath, new_filepath)
# Print a message to confirm the file extension change
#print(f"Changed Bhavcopy extension: {filename} to {new_filename}")
def copy_and_remove_files(Bhavcopy_Download_Folder, Final_Bhavcopy_Folder, remove_folders):
# Copy files to destination folder
for filename in os.listdir(Bhavcopy_Download_Folder):
if filename.endswith("-BSE-EQ.txt"):
source_filepath = os.path.join(Bhavcopy_Download_Folder, filename)
destination_filepath = os.path.join(Final_Bhavcopy_Folder, filename)
with open(source_filepath, 'rb') as source_file:
with open(destination_filepath, 'wb') as destination_file:
destination_file.write(source_file.read())
print(f"Bhavcopy file: {filename} copied to {Final_Bhavcopy_Folder}")
# Remove source folders
for folder in remove_folders:
for root, dirs, files in os.walk(folder, topdown=False):
for file in files:
os.remove(os.path.join(root, file))
for dir in dirs:
os.rmdir(os.path.join(root, dir))
os.rmdir(folder)
# Download files
Bhavcopy_Download_Folder = "C:/data_BSE"
if os.path.exists(Bhavcopy_Download_Folder):
# Remove the folder and its contents
for root, dirs, files in os.walk(Bhavcopy_Download_Folder, topdown=False):
for file in files:
os.remove(os.path.join(root, file))
for dir in dirs:
os.rmdir(os.path.join(root, dir))
os.rmdir(Bhavcopy_Download_Folder)
# Create the folder again
os.makedirs(Bhavcopy_Download_Folder)
# Final Bhavcopy folder
Final_Bhavcopy_Folder = "C:/Getbhavcopy_BSE"
if not os.path.exists(Final_Bhavcopy_Folder):
os.makedirs(Final_Bhavcopy_Folder)
#print(f"Created folder: {Final_Bhavcopy_Folder}")
"""
# Check if the folder exists and contains files
folder_path = "C:\\Getbhavcopy_BSE"
if os.path.isdir(folder_path) and os.listdir(folder_path):
# Get the list of files in the folder
file_list = [f for f in os.listdir(folder_path) if os.path.isfile(os.path.join(folder_path, f))]
# Extract the last date from the file names
last_date_str = max(f[:10] for f in file_list)
last_date = datetime.strptime(last_date_str, '%Y-%m-%d')
today = datetime.now().date()
if last_date.date() == today:
print()
print()
print("The Getbhavcopy_BSE database is up to date today",last_date.date(),"and no need to download any files.")
print()
print()
print("If you find my work valuable, please consider donating.")
print()
print()
print("💲 Donate via UPI: p.paresh25@oksbi")
print()
print()
sys.exit()
next_date = last_date + timedelta(days=1)
# Set the start date to the next day of the last date
start_date_str = next_date.strftime('%Y-%m-%d')
# Set the end date to the current date
end_date_str = datetime.today().strftime('%Y-%m-%d')
# Print the start and end dates
print(f"Start date: {start_date_str}")
print(f"End date: {end_date_str}")
print()
else:
# If the folder does not exist or is empty, get user input for the dates
start_date_str = input('Enter the start date (YYYY-MM-DD): ')
end_date_str = input('Enter the end date (YYYY-MM-DD): ')
"""
start_date_str = input('Enter the start date (YYYY-MM-DD): ')
end_date_str = input('Enter the end date (YYYY-MM-DD): ')
# Convert input dates to datetime objects
start_date = datetime.strptime(start_date_str, '%Y-%m-%d')
end_date = datetime.strptime(end_date_str, '%Y-%m-%d')
delta = end_date - start_date
date_range = []
for i in range(delta.days + 1):
date = start_date + timedelta(days=i)
if date.weekday() < 5: # Only include weekdays (Monday-Friday)
date_range.append(date)
socket.setdefaulttimeout(3)
downloaded_files = []
for date in date_range:
# Construct the URL for downloading the file
#https://www.bseindia.com/download/BhavCopy/Equity/BSE_EQ_BHAVCOPY_29122023.ZIP
BSE_Bhavcopy_URL = "https://www.bseindia.com/download/BhavCopy/Equity"
date_str = date.strftime("%d%m%Y")
filename = f"BSE_EQ_BHAVCOPY_{date_str}.ZIP"
BSE_Bhavcopy_URL = f"{BSE_Bhavcopy_URL}/{filename}"
formatted_date = date.strftime('%Y-%m-%d')
#print("URL:", BSE_Bhavcopy_URL)
try:
# Download the file and add it to the list of downloaded files
Downloaded_Bhavcopy_file = Download_BSE_Bhavcopy_File(BSE_Bhavcopy_URL, Bhavcopy_Download_Folder)
if Downloaded_Bhavcopy_file:
downloaded_files.append(Downloaded_Bhavcopy_file)
except Exception as e:
print(formatted_date, "Bhavcopy file not available to download on BSE Server")
print(e)
for file in downloaded_files:
try:
# Extract the downloaded ZIP files
Extract_BSE_Bhavcopy_Zip_Files(file, Bhavcopy_Download_Folder)
except Exception as e:
print("Error extracting file:", file)
print(e)
for file in downloaded_files:
# Remove the downloaded ZIP files
os.remove(file)
print("Removed:", file)
Rename_BSE_Bhavcopy_Files(Bhavcopy_Download_Folder)
Modify_BSE_Bhavcopy_Files(Bhavcopy_Download_Folder)
change_file_extension(Bhavcopy_Download_Folder, ".csv", ".txt")
remove_folders = ["C:/data_BSE"]
copy_and_remove_files(Bhavcopy_Download_Folder, Final_Bhavcopy_Folder, remove_folders)
print()
print()
print("All Eq-bhavcopy are saved to 'C:/Getbhavcopy_BSE'.")
print()
print()
print("If you find my work valuable, please consider donating.")
print()
print()
print("💲 Donate via UPI: p.paresh25@oksbi")
print()
print()