JazzCash Parse Tid and Mobile Number Python

Jazzcash parser.py

import pandas as pd
import re

# uri of jazzcash archived messages 

jazzcash_file = "./jazzcash.txt"

# Iterate over and filter recieved cash and spam messages

with open(jazzcash_file) as f:
    data = f.read()
    transaction_message = []
    for sms in re.split(r"(?:\r?\n){2,}",data.strip()):
        sms = sms.lower()
        if("received" in sms and "download now for free" not in sms):
            transaction_message.append(sms)
          
          
# Print total number of messages in list

print(len(transaction_message))

# Remove unnecassary details e.g bank account number 

original_t = transaction_message
transaction_message = []
for index,tr in enumerate(original_t):
    tr = re.sub('a/c:\ \d+','',tr)
    tr = re.sub('mcb account: \d+','',tr)
    transaction_message.append(tr)
    print(index,tr)
    
# Filter out mobile and tid and append it to array 

new_data = []
for index,sms in enumerate(transaction_message):
    regex = re.findall('\d{11,12}',sms)
    if len(regex) == 1:
        regex.insert(0,'Nil')
     
    regex.append('JazzCash')
    print(index,regex)
    new_data.append(regex)
 
# Create DataFrame 
df = pd.DataFrame(new_data,columns=['mobile','tid','type'])

# DF is ready for further analysis
df

TID from JazzCash SMS