mirror of
https://github.com/Mikaela/Limnoria.git
synced 2024-12-30 23:02:44 +01:00
229 lines
8.6 KiB
Python
229 lines
8.6 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/>'
|
|
|
|
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):
|
|
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).
|
|
"""
|
|
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 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 = cursor.fetchone()[0]
|
|
s = 'There are %s pairs in my Markov database for %s' % (n, channel)
|
|
irc.reply(msg, 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 = cursor.fetchone()[0]
|
|
s = 'There are %s first pairs in my Markov database for %s'%(n,channel)
|
|
irc.reply(msg, 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 = cursor.fetchone()[0]
|
|
s = 'There are %s follows in my Markov database for %s' % (n, channel)
|
|
irc.reply(msg, 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 = cursor.fetchone()[0]
|
|
s = 'There are %s lasts in my Markov database for %s' % (n, channel)
|
|
irc.reply(msg, s)
|
|
|
|
|
|
Class = Markov
|
|
|
|
# vim:set shiftwidth=4 tabstop=8 expandtab textwidth=78:
|