mirror of
https://github.com/Mikaela/Limnoria.git
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252 lines
9.0 KiB
Python
252 lines
9.0 KiB
Python
#!/usr/bin/env python
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###
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# Copyright (c) 2002, Jeremiah Fincher
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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#
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# * Redistributions of source code must retain the above copyright notice,
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# this list of conditions, and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions, and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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# * Neither the name of the author of this software nor the name of
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# contributors to this software may be used to endorse or promote products
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# derived from this software without specific prior written consent.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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# POSSIBILITY OF SUCH DAMAGE.
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###
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"""
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Silently listens to a channel, building an SQL database of Markov Chains for
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later hijinks. To read more about Markov Chains, check out
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<http://www.cs.bell-labs.com/cm/cs/pearls/sec153.html>. When the database is
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large enough, you can have it make fun little random messages from it.
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"""
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__revision__ = "$Id$"
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import plugins
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import os.path
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import ircmsgs
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import ircutils
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import privmsgs
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import callbacks
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try:
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import sqlite
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except ImportError:
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raise callbacks.Error, 'You need to have PySQLite installed to use this ' \
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'plugin. Download it at <http://pysqlite.sf.net/>'
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conf.registerPlugin('Markov')
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conf.registerGlobalValue(supybot.plugins.Markov, 'maximumWorkQueue',
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registry.PositiveInteger(10, """Determines what the maximum number of
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oustanding Markov work requests will be allowed."""))
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class MarkovThread(threading.Thread):
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def __init__(self, high, low):
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self.q = q
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def run(self):
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while 1:
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f = self.q.get()
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if f is None:
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break
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else:
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f()
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class Markov(plugins.ChannelDBHandler, callbacks.Privmsg):
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def __init__(self):
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callbacks.Privmsg.__init__(self)
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plugins.ChannelDBHandler.__init__(self)
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self.q = Queue.Queue(self.registryValue('maximumWorkQueue'))
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self.t = MarkovThread(self.q)
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self.t.start()
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def putq(self, f):
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try:
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self.q.put(f, False)
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except Queue.Full:
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self.log.info('Can\'t putq, queue full.')
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raise
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def makeDb(self, filename):
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def f():
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if os.path.exists(filename):
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return sqlite.connect(filename)
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db = sqlite.connect(filename)
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cursor = db.cursor()
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cursor.execute("""CREATE TABLE pairs (
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id INTEGER PRIMARY KEY,
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first TEXT,
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second TEXT,
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is_first BOOLEAN,
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UNIQUE (first, second) ON CONFLICT IGNORE
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)""")
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cursor.execute("""CREATE TABLE follows (
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id INTEGER PRIMARY KEY,
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pair_id INTEGER,
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word TEXT
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)""")
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cursor.execute("""CREATE INDEX follows_pair_id
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ON follows (pair_id)""")
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db.commit()
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return db
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self.putq(f)
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def doPrivmsg(self, irc, msg):
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if not ircutils.isChannel(msg.args[0]):
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return
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channel = msg.args[0]
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db = self.getDb(channel)
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cursor = db.cursor()
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if ircmsgs.isAction(msg):
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words = ircmsgs.unAction(msg).split()
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else:
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words = msg.args[1].split()
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isFirst = True
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for (first, second, follower) in window(words, 3):
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if isFirst:
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cursor.execute("""INSERT OR REPLACE
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INTO pairs VALUES (NULL, %s, %s, 1)""",
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first, second)
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isFirst = False
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else:
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cursor.execute("INSERT INTO pairs VALUES (NULL, %s, %s, 0)",
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first, second)
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cursor.execute("""SELECT id FROM pairs
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WHERE first=%s AND second=%s""", first, second)
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id = int(cursor.fetchone()[0])
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cursor.execute("""INSERT INTO follows VALUES (NULL, %s, %s)""",
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id, follower)
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if not isFirst: # i.e., if the loop iterated at all.
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cursor.execute("""INSERT INTO pairs VALUES (NULL, %s, %s, 0)""",
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second, follower)
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cursor.execute("""SELECT id FROM pairs
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WHERE first=%s AND second=%s""", second,follower)
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id = int(cursor.fetchone()[0])
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cursor.execute("INSERT INTO follows VALUES (NULL, %s, NULL)", id)
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db.commit()
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_maxMarkovLength = 80
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_minMarkovLength = 7
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def markov(self, irc, msg, args):
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"""[<channel>]
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Returns a randomly-generated Markov Chain generated sentence from the
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data kept on <channel> (which is only necessary if not sent in the
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channel itself).
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"""
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argsCopy = args[:]
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channel = privmsgs.getChannel(msg, args)
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db = self.getDb(channel)
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cursor = db.cursor()
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words = []
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cursor.execute("""SELECT id, first, second FROM pairs
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WHERE is_first=1
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ORDER BY random()
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LIMIT 1""")
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if cursor.rowcount == 0:
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irc.error('I have no records for that channel.')
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return
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(id, first, second) = cursor.fetchone()
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id = int(id)
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words.append(first)
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words.append(second)
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sql = """SELECT follows.word FROM pairs, follows
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WHERE pairs.first=%s AND
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pairs.second=%s AND
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pairs.id=follows.pair_id
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ORDER BY random()
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LIMIT 1"""
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while len(words) < self._maxMarkovLength:
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cursor.execute(sql, words[-2], words[-1])
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results = cursor.fetchone()
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if not results:
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break
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word = results[0]
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if word is None:
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break
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words.append(word)
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if len(words) < self._minMarkovLength:
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self.markov(irc, msg, argsCopy)
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else:
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irc.reply(' '.join(words))
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def pairs(self, irc, msg, args):
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"""[<channel>]
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Returns the number of Markov's chain links in the database for
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<channel>.
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"""
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channel = privmsgs.getChannel(msg, args)
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db = self.getDb(channel)
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cursor = db.cursor()
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cursor.execute("""SELECT COUNT(*) FROM pairs""")
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n = int(cursor.fetchone()[0])
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s = 'There are %s pairs in my Markov database for %s' % (n, channel)
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irc.reply(s)
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def firsts(self, irc, msg, args):
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"""[<channel>]
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Returns the number of Markov's first links in the database for
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<channel>.
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"""
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channel = privmsgs.getChannel(msg, args)
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db = self.getDb(channel)
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cursor = db.cursor()
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cursor.execute("""SELECT COUNT(*) FROM pairs WHERE is_first=1""")
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n = int(cursor.fetchone()[0])
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s = 'There are %s first pairs in my Markov database for %s'%(n,channel)
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irc.reply(s)
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def follows(self, irc, msg, args):
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"""[<channel>]
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Returns the number of Markov's third links in the database for
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<channel>.
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"""
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channel = privmsgs.getChannel(msg, args)
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db = self.getDb(channel)
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cursor = db.cursor()
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cursor.execute("""SELECT COUNT(*) FROM follows""")
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n = int(cursor.fetchone()[0])
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s = 'There are %s follows in my Markov database for %s' % (n, channel)
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irc.reply(s)
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def lasts(self, irc, msg, args):
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"""[<channel>]
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Returns the number of Markov's last links in the database for
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<channel>.
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"""
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channel = privmsgs.getChannel(msg, args)
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db = self.getDb(channel)
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cursor = db.cursor()
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cursor.execute("""SELECT COUNT(*) FROM follows WHERE word ISNULL""")
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n = int(cursor.fetchone()[0])
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s = 'There are %s lasts in my Markov database for %s' % (n, channel)
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irc.reply(s)
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Class = Markov
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# vim:set shiftwidth=4 tabstop=8 expandtab textwidth=78:
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