mirror of
https://github.com/Mikaela/Limnoria.git
synced 2024-11-24 03:29:28 +01:00
234 lines
7.8 KiB
Python
234 lines
7.8 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 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 plugins
|
|
|
|
import anydbm
|
|
import random
|
|
import os.path
|
|
|
|
import conf
|
|
import world
|
|
import ircmsgs
|
|
import ircutils
|
|
import privmsgs
|
|
import callbacks
|
|
|
|
|
|
class MarkovDB(object):
|
|
def __init__(self):
|
|
self.dbs = {}
|
|
|
|
def die(self):
|
|
for db in self.dbs.values():
|
|
try:
|
|
db.close()
|
|
except:
|
|
continue
|
|
|
|
def _getDb(self, channel):
|
|
channel = channel.lower()
|
|
if channel not in self.dbs:
|
|
filename = '%s-Markov.db' % channel
|
|
filename = os.path.join(conf.supybot.directories.data(), filename)
|
|
self.dbs[channel] = anydbm.open(filename, 'c')
|
|
return self.dbs[channel]
|
|
|
|
def __getitem__(self, (channel, item)):
|
|
return self._getDb(channel)[item]
|
|
|
|
def __setitem__(self, (channel, item), value):
|
|
self._getDb(channel)[item] = value
|
|
|
|
def getNumberOfPairs(self, channel):
|
|
try:
|
|
# Minus one, because we have a key storing the first pairs.
|
|
return len(self[channel.lower()]) - 1
|
|
except KeyError:
|
|
return 0
|
|
|
|
def getNumberOfFirstPairs(self, channel):
|
|
try:
|
|
return len(self[channel, ''].split())
|
|
except KeyError:
|
|
return 0
|
|
|
|
def getFirstPair(self, channel):
|
|
try:
|
|
pairs = self[channel, ''].split()
|
|
except KeyError:
|
|
raise ValueError('No starting pairs in the database.')
|
|
pair = random.choice(pairs)
|
|
return pair.split('\x00', 1)
|
|
|
|
def getFollower(self, channel, first, second):
|
|
pair = '%s %s' % (first, second)
|
|
try:
|
|
followers = self[channel, pair].split()
|
|
except KeyError:
|
|
return '\x00'
|
|
return random.choice(followers)
|
|
|
|
def addFirstPair(self, channel, first, second):
|
|
pair = '%s\x00%s' % (first, second)
|
|
try:
|
|
startingPairs = self[channel, '']
|
|
except KeyError:
|
|
startingPairs = ''
|
|
self[channel, ''] = '%s%s ' % (startingPairs, pair)
|
|
|
|
def addPair(self, channel, first, second, follower):
|
|
pair = '%s %s' % (first, second)
|
|
try:
|
|
followers = self[channel, pair]
|
|
except KeyError:
|
|
followers = ''
|
|
self[channel, pair] = '%s%s ' % (followers, follower)
|
|
|
|
|
|
class Markov(callbacks.Privmsg):
|
|
def __init__(self):
|
|
callbacks.Privmsg.__init__(self)
|
|
self.db = MarkovDB()
|
|
|
|
def doPrivmsg(self, irc, msg):
|
|
if not ircutils.isChannel(msg.args[0]):
|
|
return
|
|
channel = msg.args[0]
|
|
if ircmsgs.isAction(msg):
|
|
words = ircmsgs.unAction(msg).split()
|
|
words.insert(0, '\x00nick')
|
|
#words.insert(0, msg.nick)
|
|
else:
|
|
words = msg.args[1].split()
|
|
isFirst = True
|
|
for (first, second, follower) in window(words, 3):
|
|
if isFirst:
|
|
self.db.addFirstPair(channel, first, second)
|
|
isFirst = False
|
|
self.db.addPair(channel, first, second, follower)
|
|
if not isFirst: # i.e., if the loop iterated at all.
|
|
self.db.addPair(channel, second, follower, '\x00')
|
|
|
|
_maxMarkovLength = 80
|
|
_minMarkovLength = 7
|
|
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)
|
|
try:
|
|
pair = self.db.getFirstPair(channel)
|
|
except ValueError:
|
|
irc.error('I have no records for this channel.')
|
|
return
|
|
words = [pair[0], pair[1]]
|
|
while len(words) < self._maxMarkovLength:
|
|
follower = self.db.getFollower(channel, words[-2], words[-1])
|
|
if follower == '\x00':
|
|
if len(words) < self._minMarkovLength:
|
|
pair = self.db.getFirstPair(channel)
|
|
words = [pair[0], pair[1]]
|
|
else:
|
|
break
|
|
else:
|
|
words.append(follower)
|
|
if words[0] == '\x00nick':
|
|
words[0] = choice(irc.state.channels[channel].users)
|
|
irc.reply(' '.join(words))
|
|
|
|
def pairs(self, irc, msg, args):
|
|
"""[<channel>]
|
|
|
|
Returns the number of Markov's chain links in the database for
|
|
<channel>.
|
|
"""
|
|
channel = privmsgs.getChannel(msg, args)
|
|
n = self.db.getNumberOfPairs(channel)
|
|
s = 'There are %s pairs in my Markov database for %s' % (n, channel)
|
|
irc.reply(s)
|
|
|
|
def firsts(self, irc, msg, args):
|
|
"""[<channel>]
|
|
|
|
Returns the number of Markov's first links in the database for
|
|
<channel>.
|
|
"""
|
|
channel = privmsgs.getChannel(msg, args)
|
|
n = self.db.getNumberOfFirstPairs(channel)
|
|
s = 'There are %s first pairs in my Markov database for %s'%(n,channel)
|
|
irc.reply(s)
|
|
|
|
# def follows(self, irc, msg, args):
|
|
# """[<channel>]
|
|
#
|
|
# Returns the number of Markov's third links in the database for
|
|
# <channel>.
|
|
# """
|
|
# channel = privmsgs.getChannel(msg, args)
|
|
# db = self._getDb(channel)
|
|
# cursor = db.cursor()
|
|
# cursor.execute("""SELECT COUNT(*) FROM follows""")
|
|
# n = int(cursor.fetchone()[0])
|
|
# s = 'There are %s follows in my Markov database for %s' % (n, channel)
|
|
# irc.reply(s)
|
|
|
|
# def lasts(self, irc, msg, args):
|
|
# """[<channel>]
|
|
#
|
|
# Returns the number of Markov's last links in the database for
|
|
# <channel>.
|
|
# """
|
|
# channel = privmsgs.getChannel(msg, args)
|
|
# db = self._getDb(channel)
|
|
# cursor = db.cursor()
|
|
# cursor.execute("""SELECT COUNT(*) FROM follows WHERE word ISNULL""")
|
|
# n = int(cursor.fetchone()[0])
|
|
# s = 'There are %s lasts in my Markov database for %s' % (n, channel)
|
|
# irc.reply(s)
|
|
|
|
|
|
Class = Markov
|
|
|
|
# vim:set shiftwidth=4 tabstop=8 expandtab textwidth=78:
|