XMPP bots for humans
Project description
xbotlib
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.
xbotlib
provides a number of example bots which you can use to get moving
fast and try things out.
from xbotlib import EchoBot
EchotBot()
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 a
echobot.conf
file in the same working directory for further use. See the
configuration section for more.
Here's the code for the EchoBot
.
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)
Read more in the API reference for how to write your own bots.
All examples
- EchoBot: Sends back what you sent it
- WhisperBot: Anonymous whispering in group chats
- GlossBot: Building a shared glossary together
See xbotlib.py for all example bots.
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.
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)
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
Documenting your bot
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>
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.
Configure your bot
All the ways you can pass configuration details to your bot.
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.
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
).
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
Deploy your bots
See bots.varia.zone.
Persistent storage
Redis key/value
xbotlib
supports using Redis as a storage back-end. It
is simple to work with because the interface is exactly like a dictionary. Here
is how to quickly run Redis locally (using
Docker).
$ docker run --network=host --name redis -d redis
$ export REDIS_URL=redis://localhost:6379/0
And you access the interface via the self.db
attribute.
def direct(self, message):
self.db["my-message"] = message.body
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.
Roadmap
See the issue tracker.
Changes
See the CHANGELOG.md.
License
See the LICENSE.
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