whatsapp_chat_analysis / preprocessor.py
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import re
import pandas as pd
def checker(data):
pattern_12 = '\d{1,2}\/\d{1,2}\/\d{2,4},\s\d{1,2}:\d{1,2}\s[a,m,p]+\s-\s'
pattern_24 = '\d{1,2}\/\d{1,2}\/\d{2,4},\s\d{1,2}:\d{1,2}\s-\s'
check_1 = re.search(pattern_12, data)
check_2 = re.search(pattern_24, data)
if check_1 or check_2:
return True
else:
return False
def preprocess(data):
pattern_12 = '\d{1,2}\/\d{1,2}\/\d{2,4},\s\d{1,2}:\d{1,2}\s[a,m,p]+\s-\s'
pattern_24 = '\d{1,2}\/\d{1,2}\/\d{2,4},\s\d{1,2}:\d{1,2}\s-\s'
pattern_ph_num = '\d{1,2} \d{5} \d{5}'
x = re.search(pattern_12, data)
# For 12 hour format
if x:
messages = re.split(pattern_12, data)[1:]
dates = re.findall(pattern_12, data)
df = pd.DataFrame({'user_message': messages, 'message_date': dates})
try:
df['message_date'] = pd.to_datetime(
df['message_date'], format='%d/%m/%y, %I:%M %p - ')
except ValueError:
df['message_date'] = pd.to_datetime(
df['message_date'], format='%d/%m/%Y, %I:%M %p - ')
else:
messages = re.split(pattern_24, data)[1:]
dates = re.findall(pattern_24, data)
df = pd.DataFrame({'user_message': messages, 'message_date': dates})
try:
df['message_date'] = pd.to_datetime(
df['message_date'], format='%d/%m/%y, %H:%M - ')
except ValueError:
df['message_date'] = pd.to_datetime(
df['message_date'], format='%d/%m/%Y, %H:%M - ')
df.rename(columns={'message_date': 'date'}, inplace=True)
users = []
messages = []
for message in df['user_message']:
entry = re.split('([\w\W]+?):\s', message)
if entry[1:]:
if re.search(pattern_ph_num, entry[1]):
users.append('M:' + str(entry[1]))
else:
users.append(entry[1])
messages.append(entry[2])
else:
users.append('group_notification')
messages.append(entry[0])
df['user'] = users
df['message'] = messages
df.drop(columns=['user_message'], inplace=True)
df['only_date'] = df['date'].dt.date
df['year'] = df['date'].dt.year
df['month'] = df['date'].dt.month_name()
df['day'] = df['date'].dt.day
df['day_name'] = df['date'].dt.day_name()
df['hour'] = df['date'].dt.hour
df['minute'] = df['date'].dt.minute
period = []
for hour in df[['day_name', 'hour']]['hour']:
if hour == 23:
period.append(str(hour) + ' - ' + '00')
elif hour == 0:
period.append('00' + ' - ' + str(hour + 1))
else:
period.append(str(hour) + ' - ' + str(hour + 1))
# period.append(str(hour) + 'abc')
df['period'] = period
return df