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Limnoria/plugins/Markov.py
2004-04-16 08:31:16 +00:00

222 lines
8.2 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 plugins
import os.path
import ircmsgs
import ircutils
import privmsgs
import callbacks
try:
import sqlite
except ImportError:
raise callbacks.Error, 'You need to have PySQLite installed to use this ' \
'plugin. Download it at <http://pysqlite.sf.net/>'
class Markov(plugins.ChannelDBHandler, callbacks.Privmsg):
threaded = True
def __init__(self):
plugins.ChannelDBHandler.__init__(self)
callbacks.Privmsg.__init__(self)
def makeDb(self, filename):
if os.path.exists(filename):
return sqlite.connect(filename)
db = sqlite.connect(filename)
cursor = db.cursor()
cursor.execute("""CREATE TABLE pairs (
id INTEGER PRIMARY KEY,
first TEXT,
second TEXT,
is_first BOOLEAN,
UNIQUE (first, second) ON CONFLICT IGNORE
)""")
cursor.execute("""CREATE TABLE follows (
id INTEGER PRIMARY KEY,
pair_id INTEGER,
word TEXT
)""")
cursor.execute("""CREATE INDEX follows_pair_id ON follows (pair_id)""")
db.commit()
return db
def doPrivmsg(self, irc, msg):
if not ircutils.isChannel(msg.args[0]):
return
channel = msg.args[0]
db = self.getDb(channel)
cursor = db.cursor()
if ircmsgs.isAction(msg):
words = ircmsgs.unAction(msg).split()
else:
words = msg.args[1].split()
isFirst = True
for (first, second, follower) in window(words, 3):
if isFirst:
cursor.execute("""INSERT OR REPLACE
INTO pairs VALUES (NULL, %s, %s, 1)""",
first, second)
isFirst = False
else:
cursor.execute("INSERT INTO pairs VALUES (NULL, %s, %s, 0)",
first, second)
cursor.execute("""SELECT id FROM pairs
WHERE first=%s AND second=%s""", first, second)
id = int(cursor.fetchone()[0])
cursor.execute("""INSERT INTO follows VALUES (NULL, %s, %s)""",
id, follower)
if not isFirst: # i.e., if the loop iterated at all.
cursor.execute("""INSERT INTO pairs VALUES (NULL, %s, %s, 0)""",
second, follower)
cursor.execute("""SELECT id FROM pairs
WHERE first=%s AND second=%s""", second,follower)
id = int(cursor.fetchone()[0])
cursor.execute("INSERT INTO follows VALUES (NULL, %s, NULL)", id)
db.commit()
_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).
"""
argsCopy = args[:]
channel = privmsgs.getChannel(msg, args)
db = self.getDb(channel)
cursor = db.cursor()
words = []
cursor.execute("""SELECT id, first, second FROM pairs
WHERE is_first=1
ORDER BY random()
LIMIT 1""")
if cursor.rowcount == 0:
irc.error('I have no records for that channel.')
return
(id, first, second) = cursor.fetchone()
id = int(id)
words.append(first)
words.append(second)
sql = """SELECT follows.word FROM pairs, follows
WHERE pairs.first=%s AND
pairs.second=%s AND
pairs.id=follows.pair_id
ORDER BY random()
LIMIT 1"""
while len(words) < self._maxMarkovLength:
cursor.execute(sql, words[-2], words[-1])
results = cursor.fetchone()
if not results:
break
word = results[0]
if word is None:
break
words.append(word)
if len(words) < self._minMarkovLength:
self.markov(irc, msg, argsCopy)
else:
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)
db = self.getDb(channel)
cursor = db.cursor()
cursor.execute("""SELECT COUNT(*) FROM pairs""")
n = int(cursor.fetchone()[0])
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)
db = self.getDb(channel)
cursor = db.cursor()
cursor.execute("""SELECT COUNT(*) FROM pairs WHERE is_first=1""")
n = int(cursor.fetchone()[0])
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: