mirror of https://github.com/Mikaela/Limnoria.git
225 lines
8.5 KiB
Python
225 lines
8.5 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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import plugins
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import os.path
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import sqlite
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import debug
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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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def configure(onStart, afterConnect, advanced):
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# This will be called by setup.py to configure this module. onStart and
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# afterConnect are both lists. Append to onStart the commands you would
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# like to be run when the bot is started; append to afterConnect the
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# commands you would like to be run when the bot has finished connecting.
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from questions import expect, anything, something, yn
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onStart.append('load Markov')
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class Markov(plugins.ChannelDBHandler, callbacks.Privmsg):
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def __init__(self):
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plugins.ChannelDBHandler.__init__(self)
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callbacks.Privmsg.__init__(self)
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def makeDb(self, filename):
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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 ON follows (pair_id)""")
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db.commit()
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return db
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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 callbacks.Privmsg.doPrivmsg(self, irc, msg)
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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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return callbacks.Privmsg.doPrivmsg(self, irc, msg)
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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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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(msg, '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, args)
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else:
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irc.reply(msg, ' '.join(words))
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def markovpairs(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 = 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(msg, s)
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def markovfirsts(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 = 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(msg, s)
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def markovfollows(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 = 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(msg, s)
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def markovlasts(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 = 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(msg, s)
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Class = Markov
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# vim:set shiftwidth=4 tabstop=8 expandtab textwidth=78:
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