With a tendency to forget things often,
I've decided to open a blog to keep future memos.
Over the past decade or so,
my Gmail account has accumulated a lot of emails,
mostly advertisements and newsletters.
With such a large collection,
I thought it might be interesting to analyze any trends over the years
using Python.
Gmail allows exporting emails in .mbox format in bulk.
I managed to obtain around 3.6GB of data.
And now, I've received a typical sample from ChatGPT.
It seems to be loading the entire content at first,
so there's a delay right after executing the command.
import mailbox
# Create an MBOX object by specifying the path to the MBOX file
mbox = mailbox.mbox('example.mbox')# repeat processing messages in mbox
for message in mbox:
print("Subject:", message['subject'])
print("From:", message['from'])
print("To:", message['to'])
print("Date:", message['date'])
print("Body:", message.get_payload()) # get message content
print("\n")# close mbox file
mbox.close()
My idea is to open the .mbox file as a file and then read it for each email.
I did some research, but it seems quite cumbersome.
I decided to create a small .mbox file of a few hundred megabytes
and proceed with creating a prototype using that.
