MIsskey-ebooks-bot

Misskey eBooks Bot with Markov Chain

Example @roboduck@ente.fun

Introduction

This small python script is a Markov Chain eBooks bot based on the framework of mi.py

It can only read and write from and to Misskey. Reading from Mastodon or Pleroma is not (yet) implemented.

It posts every hour on his own and reacts to mentions. Every 12 hours the bot reloads the notes and recalculates the Markov Chain.

Operating mode

On the first start up the bot loads a given number of posts into his database and calculates the Markov Chain out of it. After this he only updates the database with new posts. The upgrading is threaded so the bot itself isn't interrupted while the new markov chain is calulated.

Installation

To run mi.py you must isntall python3.9 and python3.9-dev onto your system. (Please be aware of the requirements for mi.py!) mi.py is still under development and a lot of things change there quickly so please be aware that there could be chances that something changed, that I haven't implemented in the bot at the moment. to install mi.pyplease use the following command. pip install git+https://github.com/yupix/Mi.py.git

For the bot to run you also need two additional packages

markovify
configparser

or just use the command pip install -r requirements.txt in the local folder where you cloned the repo.

Configuration

To run the bot please edit example-bot.cfg and rename it to bot.cfg Following things can be edited:

Name	Values	Explanation
instance_read	domain.tld	Put here the domain of the Misskey instance you want to read the notes from. Only domain name and TLD, no /,: or https
user_read	username	The user you want to read the notes from
instance_write	domain.tld	Put here the domain of the Misskey instance your bot is running. Only domain name and TLD, no /,: or https
token	String	The token from your bot. Needs right to write notes and read notification
min_notes	interger	How many posts should be read at the initial start. Please state a number in 100 increments. Higher number means more variety but also more load when loading those and a bigger database and json file. 5000 notes resulted in ~3 MB disk space used. Default 5000
max_notes	interger	How many posts should be stored in the database. Everything over this number will be deleted during an update cycle Default 5000
includeReplies	boolean	Should replies included into the markov chain? Default True
includeMyRenotes	boolean	Should the notes you renoted be included? So your bot will make sentences you didn't wrote. Default false
excludeNsfw	boolean	Should be Notes included that are behind a CW Tag? Default False (Use with caution! The bot not CW any post he makes!)
test_output	boolean	Should be the created sentence be tested against the following statements? Default true (Highly recomended, otherwise sentences could repeat itself, could be very short or very long.)
tries	integer	How many times the bot tries to make a sentence that meets the given criteria
max_overlap_ratio	float	How many percent of the created sentence is allowed to be the same as the source text. Lower value means more gibberish, higher value to more exact copies of source material. Can be between 0and 1. Default 0.6
max_overlap_total	integer	How many words are allowed to be the same? Default 15
min_words	integer	How many words the sentence must have at least. Default None
max_words	integer	How many words the sentence must have at maximum. Default None

You can change the configuration while the bot is running. No restart necessary, they take immediate effect.

Starting the Bot

The best way to run it would be a systemd unit file and run it as a deamon. Just to test it you can use nohup python3.9 rdbot.py & in the directory the bot is located in.

Known Quirks

• The startup needs quite some time. On my system about 10 seconds. You knwo that everything runs well when the first Note is posted.
• When the bot is started, it could happen that he runs in a timeout in the first 600 seconds. To prevent that, just mention the bot and he will stay in a loop.

Works on my machine!