Limnoria/plugins/Markov.py
2003-10-11 21:03:02 +00:00

225 lines
8.5 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.
"""
import plugins
import os.path
import sqlite
import debug
import ircmsgs
import ircutils
import privmsgs
import callbacks
def configure(onStart, afterConnect, advanced):
# This will be called by setup.py to configure this module. onStart and
# afterConnect are both lists. Append to onStart the commands you would
# like to be run when the bot is started; append to afterConnect the
# commands you would like to be run when the bot has finished connecting.
from questions import expect, anything, something, yn
onStart.append('load Markov')
class Markov(plugins.ChannelDBHandler, callbacks.Privmsg):
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 callbacks.Privmsg.doPrivmsg(self, irc, msg)
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()
return callbacks.Privmsg.doPrivmsg(self, irc, msg)
_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)
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(msg, '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, args)
else:
irc.reply(msg, ' '.join(words))
def markovpairs(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 = cursor.fetchone()[0]
s = 'There are %s pairs in my Markov database for %s' % (n, channel)
irc.reply(msg, s)
def markovfirsts(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 = cursor.fetchone()[0]
s = 'There are %s first pairs in my Markov database for %s'%(n,channel)
irc.reply(msg, s)
def markovfollows(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 = cursor.fetchone()[0]
s = 'There are %s follows in my Markov database for %s' % (n, channel)
irc.reply(msg, s)
def markovlasts(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 = cursor.fetchone()[0]
s = 'There are %s lasts in my Markov database for %s' % (n, channel)
irc.reply(msg, s)
Class = Markov
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