from irc.client import SimpleIRCClient import logging import numpy import theano from theano import tensor from blocks.extensions import SimpleExtension from blocks.graph import ComputationGraph logging.basicConfig(level='INFO') logger = logging.getLogger('irc_ext') class IRCClient(SimpleIRCClient): def __init__(self, chans, nick): super(IRCClient, self).__init__() self.chans = chans self.nick = nick self.server = None def on_welcome(self, server, ev): logger.info("Welcomed to " + repr(server)) for ch in self.chans: if ch != '' and ch[0] == '#': server.join(ch) def on_join(self, server, ev): self.server = server def str2data(self, s): return numpy.array([ord(x) for x in s], dtype='int16')[None, :] def pred_until(self, pred_f, prob, delim='\n'): s = '' while True: prob = prob / 1.00001 pred = numpy.random.multinomial(1, prob[0, :]).nonzero()[0][0] s = s + chr(int(pred)) prob, = pred_f(pred[None, None]) if s[-1] == delim: break return s[:-1] def privmsg(self, chan, msg): if len(msg) > 500: msg = 'blip bloup' logger.info("%s >> %s" % (chan, msg)) self.server.privmsg(chan, msg.decode('utf-8', 'ignore')) def on_pubmsg(self, server, ev): chan = ev.target.encode('utf-8') nick = ev.source.split('!')[0].encode('utf-8') msg = ev.arguments[0].encode('utf-8') logger.info("%s <%s> %s" % (chan, nick, msg)) s0 = nick+'\t'+msg rep = None if chan in self.chans: pred_f, _ = self.chans[chan] if s0[-2:] == '^I': prob, = pred_f(self.str2data(s0[:-2])) rep = s0[:-2] + self.pred_until(pred_f, prob) rep = rep.split('\t', 1)[-1] else: # feed phrase to bot prob, = pred_f(self.str2data(s0+'\n')) if self.nick in msg: self.pred_until(pred_f, prob, '\t') prob, = pred_f(self.str2data(nick+': ')) rep = nick + ': ' + self.pred_until(pred_f, prob) else: pass if rep != None: self.privmsg(chan, rep) class IRCClientExt(SimpleExtension): def __init__(self, model, sample_temperature, server, port, nick, channels, **kwargs): super(IRCClientExt, self).__init__(**kwargs) # model output out = model.out[:, -1, :] / numpy.float32(sample_temperature) prob = tensor.nnet.softmax(out) cg = ComputationGraph([prob]) assert(len(cg.inputs) == 1) assert(cg.inputs[0].name == 'bytes') # channel functions & state chfun = {} for ch in channels + ['']: state_vars = [theano.shared(v[0:1, :].zeros_like().eval(), v.name+'-'+ch) for v, _ in model.states] givens = [(v, x) for (v, _), x in zip(model.states, state_vars)] updates= [(x, upd) for x, (_, upd) in zip(state_vars, model.states)] pred = theano.function(inputs=cg.inputs, outputs=[prob], givens=givens, updates=updates) reset_states = theano.function(inputs=[], outputs=[], updates=[(v, v.zeros_like()) for v in state_vars]) chfun[ch] = (pred, reset_states) self.irc = IRCClient(chfun, nick) self.irc.connect(server, port, nick) def __getstate__(self): state = dict(self.__dict__) del state['irc'] return state def __setstate__(self, state): irc = self.irc self.__dict__.update(state) self.irc = irc def do(self, which_callback, *args): logger.info('Polling...') self.irc.reactor.process_once() def run_forever(self): self.irc.reactor.process_forever() # vim: set sts=4 ts=4 sw=4 tw=0 et :