mirror of
https://github.com/Mikaela/Limnoria.git
synced 2024-11-18 16:39:24 +01:00
225 lines
7.4 KiB
Python
225 lines
7.4 KiB
Python
#!/usr/bin/env python
|
|
|
|
###
|
|
# Copyright (c) 2002, 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 an SQL 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 Queue
|
|
import anydbm
|
|
import random
|
|
import os.path
|
|
import threading
|
|
|
|
import supybot.ircmsgs as ircmsgs
|
|
import supybot.ircutils as ircutils
|
|
import supybot.privmsgs as privmsgs
|
|
import supybot.callbacks as callbacks
|
|
|
|
class MarkovDBInterface(object):
|
|
def close(self):
|
|
pass
|
|
|
|
def addPair(self, channel, first, second, follower,
|
|
isFirst=False, isLast=False):
|
|
pass
|
|
|
|
def getFirstPair(self, channel):
|
|
pass
|
|
|
|
def getPair(self, channel, first, second):
|
|
# Returns (follower, last) tuple.
|
|
pass
|
|
|
|
class SqliteMarkovDB(object):
|
|
def addPair(self, channel, first, second, follower,
|
|
isFirst=False, isLast=False):
|
|
pass
|
|
|
|
def getFirstPair(self, channel):
|
|
pass
|
|
|
|
def getFollower(self, channel, first, second):
|
|
# Returns (follower, last) tuple.
|
|
pass
|
|
|
|
|
|
class DbmMarkovDB(object):
|
|
def __init__(self):
|
|
self.dbs = ircutils.IrcDict()
|
|
|
|
def close(self):
|
|
for db in self.dbs.values():
|
|
db.close()
|
|
|
|
def _getDb(self, channel):
|
|
if channel not in self.dbs:
|
|
# Stupid anydbm seems to append .db to the end of this.
|
|
filename = plugins.makeChannelFilename(channel, 'DbmMarkovDB')
|
|
self.dbs[channel] = anydbm.open(filename, 'c')
|
|
self.dbs[channel]['lasts'] = ''
|
|
self.dbs[channel]['firsts'] = ''
|
|
return self.dbs[channel]
|
|
|
|
def _addFirst(self, db, combined):
|
|
db['firsts'] = db['firsts'] + (combined + '\n')
|
|
|
|
def _addLast(self, db, second, follower):
|
|
combined = self._combine(second, follower)
|
|
db['lasts'] = db['lasts'] + (combined + '\n')
|
|
|
|
def addPair(self, channel, first, second, follower,
|
|
isFirst=False, isLast=False):
|
|
db = self._getDb(channel)
|
|
combined = self._combine(first, second)
|
|
if isFirst:
|
|
self._addFirst(db, combined)
|
|
elif isLast:
|
|
self._addLast(db, second, follower)
|
|
else:
|
|
if db.has_key(combined): # EW!
|
|
db[combined] = db[combined] + (' ' + follower)
|
|
else:
|
|
db[combined] = follower
|
|
#db.flush()
|
|
|
|
def getFirstPair(self, channel):
|
|
db = self._getDb(channel)
|
|
firsts = db['firsts'].splitlines()
|
|
if firsts:
|
|
firsts.pop() # Empty line.
|
|
if firsts:
|
|
return random.choice(firsts).split()
|
|
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())
|
|
if self._combine(second, follower) in db['lasts']:
|
|
last = True
|
|
else:
|
|
last = False
|
|
return (follower, last)
|
|
|
|
def MarkovDB():
|
|
return 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()
|
|
callbacks.Privmsg.__init__(self)
|
|
|
|
def die(self):
|
|
self.q.die()
|
|
|
|
def tokenize(self, s):
|
|
# XXX: Should this be smarter?
|
|
return s.split()
|
|
|
|
def doPrivmsg(self, irc, msg):
|
|
channel = msg.args[0]
|
|
if ircutils.isChannel(channel):
|
|
words = self.tokenize(msg.args[1])
|
|
if len(words) >= 3:
|
|
def doPrivmsg(db):
|
|
db.addPair(channel, words[0], words[1], words[2],
|
|
isFirst=True)
|
|
db.addPair(channel, words[-3], words[-2], words[-1],
|
|
isLast=True)
|
|
del words[0] # Remove first.
|
|
del words[-1] # Remove last.
|
|
for (first, second, follower) in window(words, 3):
|
|
db.addPair(channel, first, second, follower)
|
|
self.q.enqueue(doPrivmsg)
|
|
|
|
def markov(self, irc, msg, args):
|
|
"""[<channel>]
|
|
|
|
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).
|
|
"""
|
|
channel = privmsgs.getChannel(msg, args)
|
|
def markov(db):
|
|
try:
|
|
words = list(db.getFirstPair(channel))
|
|
except KeyError:
|
|
irc.error('I don\'t have any first pairs for %s.' % channel)
|
|
return
|
|
last = False
|
|
while not last:
|
|
(follower,last) = db.getFollower(channel, words[-2], words[-1])
|
|
words.append(follower)
|
|
irc.reply(' '.join(words))
|
|
self.q.enqueue(markov)
|
|
|
|
|
|
Class = Markov
|