Mail those more than six months inactive users of your Mastodon server and delete them from your database if they don't reply after 30 days of receiving this warning email.
Anar al arxiu
2020-06-29 10:44:49 +02:00
db-setup.py Fix #3 issue 2020-05-22 09:56:09 +02:00
delete_inactives.py Use mastodon_full_path variable 2020-03-05 12:05:51 +01:00
edit_status.py input messages updated 2020-06-29 10:44:49 +02:00
LICENSE.txt Added LICENSE.txt 2019-11-30 15:42:24 +01:00
mailing.py Added new edit_status.py instructions 2020-06-29 10:25:11 +02:00
README.md Added new edit_status.py instructions 2020-06-29 10:25:11 +02:00
requirements.txt Added requirements.txt 2019-11-30 15:31:19 +01:00
setup.py Updated setup.py 2020-03-05 11:56:28 +01:00

mailing

Mail your Mastodon server inactive users and track their feedback.

This code written in Python get all more than a year inactive users from Mastodon's database and email them with the subject and message of your choice. Then, inactive users data is stored into new created Postgresql database to track feedback and status. Run mailing.py periodically to catch 'new' inactive users and update the elapsed days of the already emailed ones.

Dependencies

  • Python 3
  • Postgresql server
  • Mastodon server (admin)
  • Everything else at the top of mailing.py!

Usage:

Within Python Virtual Environment:

  1. Run python db-setup.py to set database parameters and create needed database and table. All collected data of inactive users (see point 3) will be written there.

  2. Run python setup.py to set your SMTP parameters and desired email subject. Also set your Mastodon's full path. They will be saved to secrets/secrets.txt for further use.

  3. Run python mailing.py to start emailing your inactive users (last_sign_in_at column older than a year). Their username, account_id, email, delivery status (True if successful) and delivery date will be written to Postgresql database. There is another column, deleted, False by default. Will be useful to track deleted/not deleted inactive users if you choose to do so.

  4. Use your favourite scheduling method to set mailing.py to run regularly. Column 'elapsed_days' of mailing's database will be updated so you can decide actions after some time.

  5. Run python delete_inactives.py to delete all inactive users after 30 days period from the warning email.

  6. Run python edit_status.py to set True or False any of following mailing_db_table columns: to_be_deleted, feedback and recipient_error.

Note: install all needed packages with pip install -r requirements.txt