mirror of
https://github.com/Mikaela/Limnoria.git
synced 2024-11-14 22:49:23 +01:00
393 lines
15 KiB
Python
393 lines
15 KiB
Python
###
|
|
# Copyright (c) 2002-2004, Jeremiah Fincher
|
|
# All rights reserved.
|
|
#
|
|
# Redistribution and use in source and binary forms, with or without
|
|
# modification, are permitted provided that the following conditions are met:
|
|
#
|
|
# * Redistributions of source code must retain the above copyright notice,
|
|
# this list of conditions, and the following disclaimer.
|
|
# * Redistributions in binary form must reproduce the above copyright notice,
|
|
# this list of conditions, and the following disclaimer in the
|
|
# documentation and/or other materials provided with the distribution.
|
|
# * Neither the name of the author of this software nor the name of
|
|
# contributors to this software may be used to endorse or promote products
|
|
# derived from this software without specific prior written consent.
|
|
#
|
|
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
|
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
|
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
|
|
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
|
|
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
|
|
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
|
|
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
|
|
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
|
|
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
|
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
|
# POSSIBILITY OF SUCH DAMAGE.
|
|
###
|
|
|
|
"""
|
|
Silently listens to a channel, building a database of Markov Chains for
|
|
later hijinks. To read more about Markov Chains, check out
|
|
<http://www.cs.bell-labs.com/cm/cs/pearls/sec153.html>. When the database is
|
|
large enough, you can have it make fun little random messages from it.
|
|
"""
|
|
|
|
__revision__ = "$Id$"
|
|
|
|
import supybot.plugins as plugins
|
|
|
|
import sets
|
|
import time
|
|
import Queue
|
|
import anydbm
|
|
import random
|
|
import os.path
|
|
import threading
|
|
|
|
import supybot.conf as conf
|
|
import supybot.utils as utils
|
|
import supybot.world as world
|
|
from supybot.commands import *
|
|
import supybot.ircmsgs as ircmsgs
|
|
import supybot.ircutils as ircutils
|
|
import supybot.registry as registry
|
|
import supybot.schedule as schedule
|
|
import supybot.callbacks as callbacks
|
|
|
|
conf.registerPlugin('Markov')
|
|
conf.registerChannelValue(conf.supybot.plugins.Markov, 'ignoreBotCommands',
|
|
registry.Boolean(False, """Determines whether messages addressed to the
|
|
bot are ignored."""))
|
|
conf.registerChannelValue(conf.supybot.plugins.Markov, 'minChainLength',
|
|
registry.PositiveInteger(1, """Determines the length of the smallest chain
|
|
which the markov command will generate."""))
|
|
conf.registerChannelValue(conf.supybot.plugins.Markov, 'maxAttempts',
|
|
registry.PositiveInteger(1, """Determines the maximum number of times the
|
|
bot will attempt to generate a chain that meets or exceeds the size set in
|
|
minChainLength."""))
|
|
|
|
conf.registerGroup(conf.supybot.plugins.Markov, 'randomSpeaking')
|
|
conf.registerChannelValue(conf.supybot.plugins.Markov.randomSpeaking,
|
|
'probability', registry.Probability(0, """Determines the probability that
|
|
will be checked against to determine whether the bot should randomly say
|
|
something. If 0, the bot will never say anything on it's own. If 1, the
|
|
bot will speak every time we make a check."""))
|
|
conf.registerChannelValue(conf.supybot.plugins.Markov.randomSpeaking,
|
|
'maxDelay', registry.PositiveInteger(10, """Determines the upper bound for
|
|
how long the bot will wait before randomly speaking. The delay is a
|
|
randomly generated number of seconds below the value of this config
|
|
variable."""))
|
|
conf.registerChannelValue(conf.supybot.plugins.Markov.randomSpeaking,
|
|
'throttleTime', registry.PositiveInteger(300, """Determines the minimum
|
|
number of seconds between the bot randomly speaking."""))
|
|
|
|
class DbmMarkovDB(object):
|
|
def __init__(self, filename):
|
|
self.dbs = ircutils.IrcDict()
|
|
self.filename = filename
|
|
|
|
def close(self):
|
|
for db in self.dbs.values():
|
|
db.close()
|
|
|
|
def _getDb(self, channel):
|
|
if channel not in self.dbs:
|
|
filename = plugins.makeChannelFilename(self.filename, channel)
|
|
# To keep the code simpler for addPair, I decided not to make
|
|
# self.dbs[channel]['firsts'] and ['lasts']. Instead, we'll pad
|
|
# the words list being sent to addPair such that ['\n \n'] will be
|
|
# ['firsts'] and ['\n'] will be ['lasts']. This also means isFirst
|
|
# and isLast aren't necessary, but they'll be left alone in case
|
|
# one of the other Db formats uses them or someone decides that I
|
|
# was wrong and changes my code.
|
|
self.dbs[channel] = anydbm.open(filename, 'c')
|
|
return self.dbs[channel]
|
|
|
|
def _flush(self, db):
|
|
if hasattr(db, 'sync'):
|
|
db.sync()
|
|
if hasattr(db, 'flush'):
|
|
db.flush()
|
|
|
|
def addPair(self, channel, first, second, follower,
|
|
isFirst=False, isLast=False):
|
|
db = self._getDb(channel)
|
|
combined = self._combine(first, second)
|
|
if db.has_key(combined): # EW!
|
|
db[combined] = ' '.join([db[combined], follower])
|
|
else:
|
|
db[combined] = follower
|
|
if follower == '\n':
|
|
if db.has_key('\n'):
|
|
db['\n'] = ' '.join([db['\n'], second])
|
|
else:
|
|
db['\n'] = second
|
|
self._flush(db)
|
|
|
|
def getFirstPair(self, channel):
|
|
db = self._getDb(channel)
|
|
firsts = db['\n \n'].split()
|
|
if firsts:
|
|
if firsts:
|
|
return ('\n', random.choice(firsts))
|
|
else:
|
|
raise KeyError, 'No firsts for %s.' % channel
|
|
else:
|
|
raise KeyError, 'No firsts for %s.' % channel
|
|
|
|
def _combine(self, first, second):
|
|
return '%s %s' % (first, second)
|
|
|
|
def getFollower(self, channel, first, second):
|
|
db = self._getDb(channel)
|
|
followers = db[self._combine(first, second)]
|
|
follower = random.choice(followers.split(' '))
|
|
return (follower, follower == '\n')
|
|
|
|
def firsts(self, channel):
|
|
db = self._getDb(channel)
|
|
if db.has_key('\n \n'):
|
|
return len(sets.Set(db['\n \n'].split()))
|
|
else:
|
|
return 0
|
|
|
|
def lasts(self, channel):
|
|
db = self._getDb(channel)
|
|
if db.has_key('\n'):
|
|
return len(sets.Set(db['\n'].split()))
|
|
else:
|
|
return 0
|
|
|
|
def pairs(self, channel):
|
|
db = self._getDb(channel)
|
|
pairs = [k for k in db.keys() if '\n' not in k]
|
|
return len(pairs)
|
|
|
|
def follows(self, channel):
|
|
db = self._getDb(channel)
|
|
# anydbm sucks in that we're not guaranteed to have .iteritems()
|
|
# *cough*gdbm*cough*, so this has to be done the stupid way
|
|
follows = [len(db[k].split()) for k in db.keys() if '\n' not in k]
|
|
return sum(follows)
|
|
|
|
MarkovDB = plugins.DB('Markov', {'anydbm': DbmMarkovDB})
|
|
|
|
class MarkovWorkQueue(threading.Thread):
|
|
def __init__(self, *args, **kwargs):
|
|
name = 'Thread #%s (MarkovWorkQueue)' % world.threadsSpawned
|
|
world.threadsSpawned += 1
|
|
threading.Thread.__init__(self, name=name)
|
|
self.db = MarkovDB(*args, **kwargs)
|
|
self.q = Queue.Queue()
|
|
self.killed = False
|
|
self.setDaemon(True)
|
|
self.start()
|
|
|
|
def die(self):
|
|
self.killed = True
|
|
self.q.put(None)
|
|
|
|
def enqueue(self, f):
|
|
self.q.put(f)
|
|
|
|
def run(self):
|
|
while not self.killed:
|
|
f = self.q.get()
|
|
if f is not None:
|
|
f(self.db)
|
|
self.db.close()
|
|
|
|
class Markov(callbacks.Privmsg):
|
|
def __init__(self):
|
|
self.q = MarkovWorkQueue()
|
|
self.__parent = super(Markov, self)
|
|
self.__parent.__init__()
|
|
self.lastSpoke = time.time()
|
|
|
|
def die(self):
|
|
self.q.die()
|
|
self.__parent.die()
|
|
|
|
def tokenize(self, m):
|
|
if ircmsgs.isAction(m):
|
|
return ircmsgs.unAction(m).split()
|
|
elif ircmsgs.isCtcp(m):
|
|
return []
|
|
else:
|
|
return m.args[1].split()
|
|
|
|
def doPrivmsg(self, irc, msg):
|
|
channel = plugins.getChannel(msg.args[0])
|
|
if irc.isChannel(channel):
|
|
canSpeak = False
|
|
now = time.time()
|
|
throttle = self.registryValue('randomSpeaking.throttleTime',
|
|
channel)
|
|
prob = self.registryValue('randomSpeaking.probability', channel)
|
|
delay = self.registryValue('randomSpeaking.maxDelay', channel)
|
|
irc = callbacks.SimpleProxy(irc, msg)
|
|
if now > self.lastSpoke + throttle:
|
|
canSpeak = True
|
|
if canSpeak and random.random() < prob:
|
|
f = self._markov(channel, irc, private=True, to=channel,
|
|
Random=True)
|
|
schedule.addEvent(lambda: self.q.enqueue(f), now + delay)
|
|
self.lastSpoke = now + delay
|
|
words = self.tokenize(msg)
|
|
words.insert(0, '\n')
|
|
words.insert(0, '\n')
|
|
words.append('\n')
|
|
# This shouldn't happen often (CTCP messages being the possible exception)
|
|
if not words or len(words) == 3:
|
|
return
|
|
if self.registryValue('ignoreBotCommands', channel) and \
|
|
callbacks.addressed(irc.nick, msg):
|
|
return
|
|
def doPrivmsg(db):
|
|
for (first, second, follower) in window(words, 3):
|
|
db.addPair(channel, first, second, follower)
|
|
self.q.enqueue(doPrivmsg)
|
|
|
|
def _markov(self, channel, irc, word1=None, word2=None, **kwargs):
|
|
def f(db):
|
|
minLength = self.registryValue('minChainLength', channel)
|
|
maxTries = self.registryValue('maxAttempts', channel)
|
|
Random = kwargs.pop('Random', None)
|
|
while maxTries > 0:
|
|
maxTries -= 1;
|
|
if word1 and word2:
|
|
givenArgs = True
|
|
words = [word1, word2]
|
|
elif word1 or word2:
|
|
# Can't just "raise callbacks.ArgumentError" because
|
|
# exception is thrown in MarkovQueue, where it isn't
|
|
# caught and no message is sent to the server
|
|
irc.reply(self.getCommandHelp('markov'))
|
|
return
|
|
else:
|
|
givenArgs = False
|
|
try:
|
|
# words is of the form ['\r', word]
|
|
words = list(db.getFirstPair(channel))
|
|
except KeyError:
|
|
irc.error('I don\'t have any first pairs for %s.' %
|
|
channel)
|
|
return # We can't use raise here because the exception
|
|
# isn't caught and therefore isn't sent to the
|
|
# server
|
|
follower = words[-1]
|
|
last = False
|
|
resp = []
|
|
while not last:
|
|
resp.append(follower)
|
|
try:
|
|
(follower,last) = db.getFollower(channel, words[-2],
|
|
words[-1])
|
|
except KeyError:
|
|
irc.error('I found a broken link in the Markov chain. '
|
|
' Maybe I received two bad links to start '
|
|
'the chain.')
|
|
return # ditto here re: Raise
|
|
words.append(follower)
|
|
if givenArgs:
|
|
if len(words[:-1]) >= minLength:
|
|
irc.reply(' '.join(words[:-1]), **kwargs)
|
|
return
|
|
else:
|
|
continue
|
|
else:
|
|
if len(resp) >= minLength:
|
|
irc.reply(' '.join(resp), **kwargs)
|
|
return
|
|
else:
|
|
continue
|
|
if not Random:
|
|
irc.error('I was unable to generate a Markov chain at least %s'
|
|
' long.' % utils.nItems('word', minLength))
|
|
else:
|
|
self.log.debug('Not randomSpeaking. Unable to generate a '
|
|
'Markov chain at least %s long.' %
|
|
utils.nItems('word', minLength))
|
|
return f
|
|
|
|
def markov(self, irc, msg, args, channel, word1, word2):
|
|
"""[<channel>] [word1 word2]
|
|
|
|
Returns a randomly-generated Markov Chain generated sentence from the
|
|
data kept on <channel> (which is only necessary if not sent in the
|
|
channel itself). If word1 and word2 are specified, they will be used
|
|
to start the Markov chain.
|
|
"""
|
|
f = self._markov(channel, irc, word1, word2, Random=False)
|
|
self.q.enqueue(f)
|
|
markov = wrap(markov, ['channeldb', optional('something'),
|
|
additional('something')])
|
|
|
|
def firsts(self, irc, msg, args, channel):
|
|
"""[<channel>]
|
|
|
|
Returns the number of Markov's first links in the database for
|
|
<channel>.
|
|
"""
|
|
def firsts(db):
|
|
s = 'There are %s firsts in my Markov database for %s.'
|
|
irc.reply(s % (db.firsts(channel), channel))
|
|
self.q.enqueue(firsts)
|
|
firsts = wrap(firsts, ['channeldb'])
|
|
|
|
def lasts(self, irc, msg, args, channel):
|
|
"""[<channel>]
|
|
|
|
Returns the number of Markov's last links in the database for
|
|
<channel>.
|
|
"""
|
|
def lasts(db):
|
|
s = 'There are %s lasts in my Markov database for %s.'
|
|
irc.reply(s % (db.lasts(channel), channel))
|
|
self.q.enqueue(lasts)
|
|
lasts = wrap(lasts, ['channeldb'])
|
|
|
|
def pairs(self, irc, msg, args, channel):
|
|
"""[<channel>]
|
|
|
|
Returns the number of Markov's chain links in the database for
|
|
<channel>.
|
|
"""
|
|
def pairs(db):
|
|
s = 'There are %s pairs in my Markov database for %s.'
|
|
irc.reply(s % (db.pairs(channel), channel))
|
|
self.q.enqueue(pairs)
|
|
pairs = wrap(pairs, ['channeldb'])
|
|
|
|
def follows(self, irc, msg, args, channel):
|
|
"""[<channel>]
|
|
|
|
Returns the number of Markov's third links in the database for
|
|
<channel>.
|
|
"""
|
|
def follows(db):
|
|
s = 'There are %s follows in my Markov database for %s.'
|
|
irc.reply(s % (db.follows(channel), channel))
|
|
self.q.enqueue(follows)
|
|
follows = wrap(follows, ['channeldb'])
|
|
|
|
def stats(self, irc, msg, args, channel):
|
|
"""[<channel>]
|
|
|
|
Returns all stats (firsts, lasts, pairs, follows) for <channel>'s
|
|
Markov database.
|
|
"""
|
|
def stats(db):
|
|
s = '; '.join(['Firsts: %s', 'Lasts: %s', 'Pairs: %s',
|
|
'Follows: %s'])
|
|
irc.reply(s % (db.firsts(channel), db.lasts(channel),
|
|
db.pairs(channel), db.follows(channel)))
|
|
self.q.enqueue(stats)
|
|
stats = wrap(stats, ['channeldb'])
|
|
|
|
Class = Markov
|
|
|
|
# vim:set shiftwidth=4 tabstop=8 expandtab textwidth=78:
|