XMPP bots for humans
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Luke Murphy 46d054243c
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LICENSE First working prototype 1 week ago
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README.md

xbotlib

PyPI version Build Status

XMPP bots for humans

status: experimental

A friendly lightweight wrapper around slixmpp for writing XMPP bots in Python. The goal is to make writing and running XMPP bots easy and fun. xbotlib is a single file implementation which can easily be understood and extended. It provides a small API surface which reflects the slixmpp way of doing things. The xbotlib source code and ideas are largely borrowed/stolen/adapted/reimagined from the XMPP bot experiments that have gone on and are still going on in Varia.

Install

$ pip install xbotlib

Example

Put the following in a echo.py file. This bot is pretty simple: it echoes back whatever message you send it. It is an easy way to get started.

from xbotlib import Bot

class EchoBot(Bot):

    def direct(self, message):
        self.reply(message.text, to=message.sender)

    def group(self, message):
        self.reply(message.content, room=message.room)

And then python echo.py. You will be asked a few questions in order to load the account details that your bot will be using. This will generate an echobot.conf file in the same working directory for further use. See the configuration section for more.

Read more in the API reference for how to write your own bots.

See more examples on git.vvvvvvaria.org.

API Reference

When writing your own bot, you always sub-class the Bot class provided from xbotlib. Then if you want to respond to a direct message, you write a direct function. If you want to respond to a group chat message, you write a group function. That's it for the basics.

Bot.direct(message)

Respond to direct messages.

Arguments:

  • message: received message (see SimpleMessage below for available attributes)

Bot.group(message)

Respond to a message in a group chat.

Arguments:

  • message: received message (see SimpleMessage below for available attributes)

Bot.serve(request)

Serve requests via the built-in web server.

Arguments:

  • request: the web request

SimpleMessage

A simple message interface.

Attributes:

  • text: the entire text of the message
  • content: the text of the message after the nick
  • sender: the user the message came from
  • room: the room the message came from
  • receiver: the receiver of the message
  • nick: the nickname of the sender
  • type: the type of message
  • url: The URL of a sent file

Working with your bot

Documentation

Add a help = "my help" to your Bot class like so.

class MyBot(Bot):
    help = "My help"

See more in the commands section on how to use this.

Commands

Using @<command> in direct messages and <nick>, @<command> (the , is optional, anything will be accepted here and there doesn't seem to be a consensus on what is most common way to "at" another user in XMPP) in group chats, here are the supported commands.

  • @uptime: how long the bot has been running
  • @help: the help text for what the bot does

There are also more general status commands which all bots respond to.

  • @bots: status check on who is a bot in the group chat

Avatars

By default, xbotlib will look for an avatar.png (so far tested with .png but other file types may work) file alongside your Python script which contains your bot implementation. You can also specify another path using the --avatar option on the command-line interface. The images should ideally have a height of 64 and a width of 64 pixels each.

Configuration

All the ways you can pass configuration details to your bot. There are three ways to configure your bot, the configuration file, command-line interface and the environment. Use whichever one suits you best. The values are loaded in the following order: command-line > configuration file > environment.

Using the .conf configuration file

If you run simply run your Python script which contains the bot then xbotlib will generate a configuration for you by asking a few questions. This is the simplest way to run your bot locally.

Here is an example of a working configuration.

[echobot]
account = echobot@vvvvvvaria.org
password = ...thepassword...
nick = echobot
rooms = test@muc.example.com

Using the command-line interface

Every bot accepts a number of comand-line arguments to load configuration. You can use the --help option to see what is available (e.g. python bot.py --help).

usage: bot.py [-h] [-d] [-a ACCOUNT] [-p PASSWORD] [-n NICK]
              [-av AVATAR] [-ru REDIS_URL] [-r ROOMS [ROOMS ...]]
              [--no-auto-join]

XMPP bots for humans

optional arguments:
  -h, --help            show this help message and exit
  -d, --debug           Enable verbose debug logs
  -a ACCOUNT, --account ACCOUNT
                        Account for the bot account
  -p PASSWORD, --password PASSWORD
                        Password for the bot account
  -n NICK, --nick NICK  Nickname for the bot account
  -av AVATAR, --avatar AVATAR
                        Avatar for the bot account
  -ru REDIS_URL, --redis-url REDIS_URL
                        Redis storage connection URL
  -r ROOMS [ROOMS ...], --rooms ROOMS [ROOMS ...]
                        Rooms to automatically join
  --no-auto-join        Disable automatically joining rooms when invited
  -pt PORT, --port PORT
                        The port to serve from
  -t TEMPLATE, --template TEMPLATE
                        The template to render

Using the environment

xbotlib will try to read the following configuration values from the environment if it cannot read them from a configuration file or the command-line interface. This can be useful when doing remote server deployments.

  • XBOT_ACCOUNT: The bot account
  • XBOT_PASSWORD: The bot password
  • XBOT_NICK: The bot nickname
  • XBOT_AVATAR: The bot avatar icon
  • XBOT_REDIS_URL: Redis key store connection URL
  • XBOT_ROOMS: The rooms to automatically join
  • XBOT_NO_AUTO_JOIN: Disable auto-joining on invite
  • XBOT_PORT: The port to serve from

Persistent storage

File system

Just use your local file system as you would in any other Python script. Please note that when you deploy your bot, you might not have access to this local filesystem in the same location. For remote server deployments Redis can be more convenient.

Redis key/value storage

xbotlib supports using Redis as a storage back-end. It is simple to work with because the interface is exactly like a dictionary. You can quickly run Redis locally using Docker (docker run --network=host --name redis -d redis) or if you're on a Debian system you can also sudo apt install -y redis.

You can configure the connection URL using the command-line interface, configuration or environment. Here is an example using the environment.

$ export XBOT_REDIS_URL=redis://localhost:6379/0

And you access the interface via the self.db attribute.

def direct(self, message):
    self.db["mykey"] = message.text

You should see INFO Successfully connected to storage when your bot initialises. Please see the GlossBot example for more on how to work with this type of storage.

Loading Plugins

You can specify a plugins = [...] on your bot definition and they will be automatically loaded.

class MyBot(Bot):
    plugins = ["xep_0066"]

Serving HTTP

Your bot will automatically be running a web server at port 8080 when it is run. If you're running your bot locally, just visit 0.0.0.0:8080 to see. The default response is just some placeholder text. You can write your own responses using the Bot.serve function.

xbotlib provides a small wrapper API for Jinja2 which allows you to easily template and generate HTML. The web server is provided by aiohttp.

The default template search path is index.html.j2 in the current working directory. This can be configured through the usual configuration entrypoints.

Here's a small example that renders a random ASCII letter.

<h1>{{ letter }}</h1>
from string import ascii_letters
from xbotlib import Response

def serve(self, request):
    letter = choice(ascii_letters)
    rendered = self.template.render(letter=letter)
    return Response(body=rendered, content_type="text/html")

If you want to pass data from your direct/group functions to the serve function, you'll need to make use of some type of persistent storage. Your serve function can read from the database or file system and then respond with generated HTML from there.

Having your bot avaible on the web is useful for doing healthchecks with something like statping so you be sure that your bot is up and running.

Deploy your bots

See bots.varia.zone.

Roadmap

See the issue tracker.

Changes

See the CHANGELOG.md.

License

See the LICENSE.