165 lines
6.5 KiB
Python
165 lines
6.5 KiB
Python
import random, re, threading
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from src import ModuleManager, utils
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NO_MARKOV = "Markov chains not enabled in this channel"
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class Module(ModuleManager.BaseModule):
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_load_thread = None
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def on_load(self):
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if not self.bot.database.has_table("markov"):
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self.bot.database.execute("""CREATE TABLE markov
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(channel_id INTEGER, first_word TEXT, second_word TEXT,
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third_word TEXT, frequency INT,
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FOREIGN KEY (channel_id) REFERENCES channels(channel_id),
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PRIMARY KEY (channel_id, first_word, second_word))""")
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@utils.hook("command.regex")
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@utils.kwarg("expect_output", False)
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@utils.kwarg("ignore_action", False)
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@utils.kwarg("command", "markov-trigger")
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@utils.kwarg("pattern", re.compile(".+"))
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def channel_message(self, event):
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if event["target"].get_setting("markov", False):
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self._create(event["target"].id, event["match"].group(0))
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@utils.hook("received.command.markovlog")
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@utils.kwarg("min_args", 1)
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@utils.kwarg("permission", "markovlog")
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@utils.kwarg("help", "Load a message-only newline-delimited log in to this "
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"channel's markov chain")
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def load_log(self, event):
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if not event["target"].get_setting("markov", False):
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raise utils.EventError(NO_MARKOV)
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if not self._load_thread == None:
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raise utils.EventError("Log loading already in progress")
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page = utils.http.request(event["args_split"][0])
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if page.code == 200:
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event["stdout"].write("Importing...")
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self._load_thread = threading.Thread(target=self._load_loop,
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args=[event["target"].id, page.data])
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self._load_thread.daemon = True
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self._load_thread.start()
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else:
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event["stderr"].write("Failed to load log (%d)" % page.code)
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def _load_loop(self, channel_id, data):
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for line in data.decode("utf8").split("\n"):
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self.bot.trigger(self._create_factory(channel_id, line.strip()))
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self._load_thread = None
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def _create_factory(self, channel_id, line):
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return lambda: self._create(channel_id, line)
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def _create(self, channel_id, line):
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words = list(filter(None, line.split(" ")))
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words = [word.lower() for word in words]
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words_n = len(words)
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if not words_n > 2:
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return
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inserts = []
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inserts.append([None, None, words[0]])
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inserts.append([None, words[0], words[1]])
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for i in range(words_n-2):
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inserts.append(words[i:i+3])
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inserts.append([words[-2], words[-1], None])
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for insert in inserts:
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frequency = self.bot.database.execute_fetchone("""SELECT
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frequency FROM markov WHERE channel_id=? AND first_word=?
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AND second_word=? AND third_word=?""",
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[channel_id]+insert)
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frequency = (frequency or [0])[0]+1
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self.bot.database.execute(
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"INSERT OR REPLACE INTO markov VALUES (?, ?, ?, ?, ?)",
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[channel_id]+insert+[frequency])
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def _choose(self, words):
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words, frequencies = list(zip(*words))
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return random.choices(words, weights=frequencies, k=1)[0]
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@utils.hook("received.command.markov")
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@utils.kwarg("channel_only", True)
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@utils.kwarg("help", "Generate a markov chain for the current channel")
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@utils.kwarg("usage", "[first-word]")
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def markov(self, event):
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self._markov_for(event["target"], event["stdout"], event["stderr"],
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first_words=event["args_split"][:])
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@utils.hook("received.command.markovfor")
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@utils.kwarg("min_args", 1)
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@utils.kwarg("permission", "markovfor")
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@utils.kwarg("help", "Generate a markov chain for a given channel")
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@utils.kwarg("usage", "<channel> [first-word]")
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def markov_for(self, event):
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if event["args_split"][0] in event["server"].channels:
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channel = event["server"].channels.get(event["args_split"][0])
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self._markov_for(channel, event["stdout"], event["stderr"],
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first_words=event["args_split"][1:])
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else:
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event["stderr"].write("Unknown channel")
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def _markov_for(self, channel, stdout, stderr, first_words):
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if not channel.get_setting("markov", False):
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stderr.write(NO_MARKOV)
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else:
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out = self._generate(channel.id, first_words)
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if not out == None:
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stdout.write(out)
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else:
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stderr.write("Failed to generate markov chain")
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def _generate(self, channel_id, first_words):
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if not first_words:
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first_words = self.bot.database.execute_fetchall("""SELECT
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third_word, frequency FROM markov WHERE channel_id=? AND
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first_word IS NULL AND second_word IS NULL AND third_word
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NOT NULL""", [channel_id])
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if not first_words:
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return None
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first_word = self._choose(first_words)
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second_words = self.bot.database.execute_fetchall("""SELECT
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third_word, frequency FROM markov WHERE channel_id=? AND
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first_word IS NULL AND second_word=? AND third_word NOT NULL""",
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[channel_id, first_word])
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if not second_words:
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return None
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second_word = self._choose(second_words)
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words = [first_word, second_word]
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elif len(first_words) == 1:
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first_word = first_words[0].lower()
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second_two_words = self.bot.database.execute_fetchall("""SELECT
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second_word, third_word, frequency FROM markov WHERE
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channel_id=? AND first_word=? AND second_word NOT NULL AND
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third_word NOT NULL""", [channel_id, first_word])
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if not second_two_words:
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return None
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second_word, third_word = self._choose(
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[[[s, t], f] for s, t, f in second_two_words])
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words = [first_word, second_word, third_word]
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else:
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words = [word.lower() for word in first_words]
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for i in range(30):
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two_words = words[-2:]
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third_words = self.bot.database.execute_fetchall("""SELECT
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third_word, frequency FROM markov WHERE channel_id=? AND
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first_word=? AND second_word=?""", [channel_id]+two_words)
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if not third_words:
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break
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third_word = self._choose(third_words)
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if third_word == None:
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break
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words.append(third_word)
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return " ".join(words)
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