Limnoria/plugins/Markov.py

#!/usr/bin/env python

###
# Copyright (c) 2002, Jeremiah Fincher
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# modification, are permitted provided that the following conditions are met:
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#   * Redistributions of source code must retain the above copyright notice,
#     this list of conditions, and the following disclaimer.
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#     contributors to this software may be used to endorse or promote products
#     derived from this software without specific prior written consent.
#
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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###

"""
Add the module docstring here.  This will be used by the setup.py script.
"""

from baseplugin import *

import random
import os.path

import sqlite

import debug
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(callbacks.Privmsg, ChannelDBHandler):
    def __init__(self):
        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()
        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)
        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
    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""")
        (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)
        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 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)


Class = Markov

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