followmail 1.0.0

Description:

followmail 1.0.0

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



-c
--csv
Print in csv format



-j
--json
Print in json format




Examples


Search into to field the email [email protected]:
followmail -t [email protected]



Search into from field the email [email protected]:
followmail -f [email protected]



Search both from and to fields:
followmail -f [email protected] -t [email protected]



Filter per queue
followmail -f [email protected] -t [email protected] -q "postfix/in"



Select archived log
followmail -f [email protected] -t [email protected] -l "/var/log/maillog-20240709.tar.gz"



Select archived log
followmail -f [email protected] -t [email protected] -m 20



Sort results by date
followmail -f [email protected] -t [email protected] -D



Print result in CSV format
followmail -f [email protected] -t [email protected] -c



Print result in JSON format
followmail -f [email protected] -t [email protected] -j



Debugging
followmail -f [email protected] -t [email protected] -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!