followmail 1.1.0

Postfix log parser to follow a mail address.

followmail

followmail is a command line utility that parse a postfix log file (also gzipped) and follow pathway of specific mail, in to or from fields.

Installation

To install followmail, follow this:

# With pypi
pip install followmail

# With git
git clone https://github.com/MatteoGuadrini/followmail.git && cd followmail
pip install .

Command arguments

followmail have many command line arguments. They are explained in this table:

short	long	description	args
-v	--verbose	Print with verbosity
-t	--to	Email address into to field	Mail address
-f	--from	Email address into from field	Mail address
-l	--maillog	Input maillog file	File path
-q	--queue	Name of postfix queue	Name of queue
-m	--max-lines	Max lines to print	Number
-D	--sortby-date	Sort lines by date
-Q	--sortby-queue	Sort lines by queue
-D	--sortby-server	Sort lines by server
-c	--csv	Print in csv format
-j	--json	Print in json format

Examples

1. Search into to field the email [e-mail]:

   followmail -t [e-mail]
   

2. Search into from field the email [e-mail]:

   followmail -f [e-mail]
   

3. Search both from and to fields:

   followmail -f [e-mail] -t [e-mail]
   

4. Filter per queue

    followmail -f [e-mail] -t [e-mail] -q "postfix/in"
   

5. Select archived log

    followmail -f [e-mail] -t [e-mail] -l "/var/log/maillog-20240709.tar.gz"
   

6. Select max 20 max lines

    followmail -f [e-mail] -t [e-mail] -m 20
   

7. Sort results by date, queue or server

    followmail -f [e-mail] -t [e-mail] -D
    followmail -f [e-mail] -t [e-mail] -Q
    followmail -f [e-mail] -t [e-mail] -S
   

8. Print result in CSV format

    followmail -f [e-mail] -t [e-mail] -c
   

9. Print result in JSON format

    followmail -f [e-mail] -t [e-mail] -j
   

10. Debugging

     followmail -f [e-mail] -t [e-mail] -v
    

Open source

followmail is an open source project. Any contribute, It's welcome.

A great thanks.

For donations, press this

For me

For Telethon

The Telethon Foundation is a non-profit organization recognized by the Ministry of University and Scientific and Technological Research. They were born in 1990 to respond to the appeal of patients suffering from rare diseases. Come today, we are organized to dare to listen to them and answers, every day of the year.

Adopt the future

Treeware

This package is Treeware. If you use it in production, then we ask that you buy the world a tree to thank us for our work. By contributing to the Treeware forest you’ll be creating employment for local families and restoring wildlife habitats.

Acknowledgments

Thanks to Mark Lutz for writing the Learning Python and Programming Python books that make up my python foundation.

Thanks to Kenneth Reitz and Tanya Schlusser for writing the The Hitchhiker’s Guide to Python books.

Thanks to Dane Hillard for writing the Practices of the Python Pro books.

Special thanks go to my wife, who understood the hours of absence for this development. Thanks to my children, for the daily inspiration they give me and to make me realize, that life must be simple.

Thanks, Python!