Postfix log parser to follow a mail address.
Project description
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 other@example.com:
followmail -t other@example.com
-
Search into from field the email other@example.com:
followmail -f other@example.com
-
Search both from and to fields:
followmail -f other@example.com -t other2@example.com
-
Filter per queue
followmail -f other@example.com -t other2@example.com -q "postfix/in"
-
Select archived log
followmail -f other@example.com -t other2@example.com -l "/var/log/maillog-20240709.tar.gz"
-
Select archived log
followmail -f other@example.com -t other2@example.com -m 20
-
Sort results by date
followmail -f other@example.com -t other2@example.com -D
-
Print result in CSV format
followmail -f other@example.com -t other2@example.com -c
-
Print result in JSON format
followmail -f other@example.com -t other2@example.com -j
-
Debugging
followmail -f other@example.com -t other2@example.com -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.
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!
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