Skip to main content

EchoBot

In a previous blog I started discussing Xmpp and showed how to set up an Xmpp server and connecting to it via Python. In this blog I will dig deeper and show how to implement a simple echo bot.
The code for this lives on Github: https://github.com/snorristurluson/xmpp-chatbot

Connecting

First, let's wrap the network layer. I've picked the Python 3 asyncio for this task.
Let's start by looking at firstconnection.py. I've created a class called FirstConnection that inherits from asyncio.Protocol.
class FirstConnection(asyncio.Protocol):
    def __init__(self, host):
        self.host = host
        self.transport = None

    def connect(self):
        loop = asyncio.get_event_loop()
        handler = loop.create_connection(lambda: self, self.host, 5222)
        loop.create_task(handler)

    def connection_made(self, transport):
        logger.debug("Connection made")
        self.transport = transport

        cmd = "<?xml version='1.0'?><stream:stream to='localhost' " \
              "version='1.0' xmlns='jabber:client' " \
              "xmlns:stream='http://etherx.jabber.org/streams'>"
        self.write(cmd)

        cmd = "<junk/>"
        self.write(cmd)

    def connection_lost(self, exc):
        logger.debug("Connection lost")

    def write(self, data):
        logger.debug("Send: %s", data)
        self.transport.write(data.encode())

    def data_received(self, data):
        logger.debug("Received %d bytes\n%s", len(data), data.decode())
Let's instantiate this class and connect:
    loop = asyncio.get_event_loop()

    bot = FirstConnection("localhost")
    bot.connect()
    loop.run_forever()
If the connect call fails, make sure you have Prosody running. If it is, you should see output similar to this:
DEBUG:__main__:FirstConnection is starting
DEBUG:asyncio:Using selector: KqueueSelector
DEBUG:__main__:Connection made
DEBUG:__main__:Send: <?xml version='1.0'?><stream:stream to='localhost' version='1.0' xmlns='jabber:client' xmlns:stream='http://etherx.jabber.org/streams'>
DEBUG:__main__:Send: <junk/>
DEBUG:__main__:Received 605 bytes
<?xml version='1.0'?><stream:stream xmlns:stream='http://etherx.jabber.org/streams' version='1.0' from='localhost' id='743f47de-6f34-4458-afcc-558f872b949a' xml:lang='en' xmlns='jabber:client'><stream:features><starttls xmlns='urn:ietf:params:xml:ns:xmpp-tls'/><mechanisms xmlns='urn:ietf:params:xml:ns:xmpp-sasl'><mechanism>PLAIN</mechanism><mechanism>SCRAM-SHA-1</mechanism><mechanism>DIGEST-MD5</mechanism></mechanisms><auth xmlns='http://jabber.org/features/iq-auth'/></stream:features><stream:error><unsupported-stanza-type xmlns='urn:ietf:params:xml:ns:xmpp-streams'/></stream:error></stream:stream>
DEBUG:__main__:Connection lost
This is a small step, but an important one. We're talking to the server and have initiated the handshake. The server sent us back its part of the handshake - then we sent it junk and it slammed the door on us. The important bit is that we're doing this in a more managed fashion than before and this allows us to build something useful on top.

Handling XMPP

Before we can actually log in we need to think about how to process the incoming XMPP commands. XMPP is XML based so it makes sense to use an XML parser, rather than working with the raw text.
Python offers several different options for parsing XML, but keeping in mind that we are not dealing with a full XML document, the xml.sax module seems appropriate.
The connection to the XMPP server is stateful - the server expects an initial handshake at the beginning with the right commands being issued in the right order. To manage this, I use a class named XmppHandler. It holds an instance of an xml.sax parser, on which I set the content handler to an XmppContentHandler.
The XmppContentHandler responds to the incoming parser events and builds a queue of XmppElement objects. The XmppHandler pulls from this queue, allowing it to work on a somewhat higher level, with whole XMPP stanzas.
Data received from the server is sent to the handle_raw_response method of the XmppHandler, which passes it on to the feed method of the parser. Once the parser has been fed, I pull the elements out of the queue, processing them one by one until the queue is empty.

Logging in

The processing of elements depends on the state of the handler. The state machine is not implemented in any formal way - it's simply a state attribute and a series of if statements - crude but effective.
The ConnectBot object in connectbot.py takes us a step further. If you run it, you should see it connecting. Note that you need to add an echobot user on the server before it lets you log in. The password should be echobot as well.
prosodyctl adduser echobot@localhost
Once you have added the user, you should see the bot successfully logging in. The log output from connectbot.pyshows you all the XMPP commands that flow between the bot an the server, and the Prosody logs show you the progress as well.

Echo, echo

Finally we can start doing something useful (by some definition of useful). The EchoBot in echobot.py adds the handle_xmpp_message method. I monkey-patch the handler so that it calls this method whenever a message stanza is received. This method simply pulls the body text from the XMPP element and sends that back to the sender as a message.
Try this out with some XMPP chat client - I've been using Swift. Start a chat with echobot@localhost and you should see everything you say echoed back.

What next?

The hard part is done now - building on this framework we can start focusing on the bots themselves. More on that later!

Comments

Popular posts from this blog

Working with Xmpp in Python

Xmpp is an open standard for messaging and presence, used for instant messaging systems. It is also used for chat systems in several games, most notably League of Legends made by Riot Games. Xmpp is an xml based protocol. Normally you work with xml documents - with Xmpp you work with a stream of xml elements, or stanzas - see https://tools.ietf.org/html/rfc3920 for the full definitions of these concepts. This has some implications on how best to work with the xml. To experiment with Xmpp, let's start by installing a chat server based on Xmpp and start interacting with it. For my purposes I've chosen Prosody - it's nice and simple to install, especially on macOS with Homebrew : brew tap prosody/prosody brew install prosody Start the server with prosodyctl - you may need to edit the configuration file (/usr/local/etc/prosody/prosody.cfg.lua on the Mac), adding entries for prosody_user and pidfile. Once the server is up and running we can start poking at it...

Simple JSON parsing in Erlang

I've been playing around with Erlang . It's an interesting programming language - it forces you to think somewhat differently about how to solve problems. It's all about pattern matching and recursion, so it takes bit getting used to before you can follow the flow in an Erlang program. Back in college I did some projects with Prolog  so some of the concepts in Erlang were vaguely familiar. Supposedly, Erlang's main strength is support for concurrency. I haven't gotten that far in my experiments but wanted to start somewhere with writing actual code. OTP - the Erlang standard library doesn't have support for JSON so I wanted to see if I could parse a simple JSON representation into a dictionary object. The code is available on Github:  https://github.com/snorristurluson/erl-simple-json This is still very much a work in progress, but the  parse_simple_json/1 now handles a string like {"ExpiresOn":"2017-09-28T15:19:13", "Scopes":...

JumperBot

In a  previous blog  I described a simple echo bot, that echoes back anything you say to it. This time I will talk about a bot that generates traffic for the chat server, that can be used for load-testing both the chat server as well as any chat clients connected to it. I've dubbed it  JumperBot  - it jumps between chat rooms, saying a few random phrases in each room, then jumping to the next one. This bot builds on the same framework as the  EchoBot  - refer to the previous blog if you are interested in the details. The source lives on GitHub:  https://github.com/snorristurluson/xmpp-chatbot Configure the server In an  earlier blog  I described the setup of Prosody as the chat server to run against. Before we can connect bots to the server we have to make sure they can log in, either by creating accounts for them: prosodyctl register jumperbot_0 localhost jumperbot prosodyctl register jumperbot_1 localhost jumperbot ... or by ...