#quaternia

An IRC bot that does various things

#Usage/Installation

doas mkdir /etc/quaternia
chown $USER /etc/quaternia
cp quaternia.ini.example /etc/quaternia/quaternia.ini
$EDITOR /etc/quaternia.ini
make
./quaternia

You'll need to change nick, sasluser, saslpass, and channels.

You'll probably want to change opnick to your nick.

You can control quaternia's parser with the regex and regexsg options. It'll match all messages against regex, and use the regexsgth subgroup as the command that it interprets.

#Commands

• .ping: Write 'pong'. Useful for testing that the bot is responding.
• .quit: Kill the bot. Only usable by opnick.
• .w <location>: Get the weather in location using OpenWeatherMap
• .ddg <search>: Search DuckDuckGo for search. Scrapes the HTML version of DuckDuckGo, might be broken by the time you're reading this.
• .ia <search>: Get DuckDuckGo instant answers for search. Some searches may cause weird errors.
• .wp <title>: Write the overview of the English Wikipedia article named title.
• .ws <search>: Search the English Wikipedia for search.
• .reload: Reload the configuration file.
• .choose: Randomly choose one of the arguments.
• .remind/.reminders/.remindme/.snooze: Something like https://git.sr.ht/~sircmpwn/reminderbot. Also triggered by most natural-language requests for reminders that start with 'remind me'.
• .loc/.location: set user locations
• .markov: print a Markov chain based on everything that quaternia has heard
• .go: execute Go code
• .gobegin, .gorollback, .gocommit: start, abort, and commit a transaction of persistent Go commands
• .mbta: get predictions from the MBTA API
• .stops: get the stop IDs on an MBTA route
• .rss: manage RSS subscriptions

Persistence is done with textual files under /etc/quaternia, because SQL is overkill for this and adds a runtime dependency.

quaternia will also print information on URLs mentioned, using the formatting string urlfmt ('%s' is replaced by the URL's title).

quaternia will also respond to messages beginning with its nick followed by a ':' or ',' with a Markov chain. You can pre-train quaternia's Markov chains by running ./train < [file containing a list of lines] > /etc/quaternia/markov.json.