Chatbot v1
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import asyncio
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import discord
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from discord.ext import commands
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import numpy as np
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class Chatbot(object):
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"""Een heuse chatbot. Under construction..."""
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def __init__(self, bot):
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self.bot = bot
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self.voice_states = {}
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self.END_OF_MESSAGE = "<EOM>"
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try:
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np.load('markov_dict.npy')
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except FileNotFoundError:
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#If there's no initial file, make a new one:
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initFile = {'Hoi':{self.END_OF_MESSAGE : 1}}
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np.save("markov_dict.npy", initFile)
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except:
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print("ERROR! - Could not open or create Markov chat file")
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def __check(self, ctx):
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return True
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#TODO laat Stroop reageren op persoonlijke berichten
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#Make word pairs:
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def makePairs(self, corpus):
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for i in range(len(corpus)-1):
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yield (corpus[i], corpus[i+1])
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#Learn from a human message
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#Returns an updated dict
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def learnFrom(self, initialWordDict, message: str):
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newWordDict = initialWordDict
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message = message + " " + self.END_OF_MESSAGE
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corpus = message.split()
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pairs = self.makePairs(corpus)
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#Add wordcounts to dict
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for word_1, word_2 in pairs:
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if word_1 in newWordDict.keys():
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if word_2 in newWordDict[word_1].keys():
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newWordDict[word_1][word_2] += 1
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else:
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newWordDict[word_1][word_2] = 1
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else:
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newWordDict[word_1] = {word_2 : 1}
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return newWordDict;
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@commands.command(pass_context=True, hidden=True)
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@asyncio.coroutine
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def trainmarkovchat(self, ctx, channelId=409751773595566081, nrOfMessages=50):
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"""Train that chain, jermaine
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param channelId: use this channel to train
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param nrOfMessages: use the x most recent messages
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"""
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channel=self.bot.get_channel(channelId)
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#Open current chain:
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wordDict = np.load('markov_dict.npy').item()
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#Iterate through the last x messages from the channel:
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iterator = channel.history(limit=nrOfMessages, before=None, after=None, reverse=False, around=None)
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for i in range(nrOfMessages):
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msg = yield from iterator.next()
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messageContent = msg.content.strip()
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if messageContent == "":
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pass #print("-- Bericht is leeg. Negeer.")
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elif msg.author.bot:
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pass #print("-- Dit is een bot chat. Negeer.")
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elif messageContent[0] == "!":
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pass #print("-- Dit is een commando. Negeer.")
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elif "```" in messageContent:
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pass #print("-- Daar zit een codeblok in. Negeer.")
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else:
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wordDict = self.learnFrom(wordDict, messageContent)
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np.save("markov_dict.npy", wordDict)
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yield from ctx.channel.send("Ik heb weer wat nieuwe woordjes geleerd. :slight_smile:")
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@commands.command(pass_context=True, hidden=False)
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@asyncio.coroutine
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def reageer(self, ctx):
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"""UNDER CONSTRUCTION. Laat Stroop iets willekeurigs zeggen.
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Stroop leert van onze gesprekken. Hij kan zich nu voordoen als een van ons. Soort van.
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"""
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MAX_N_WORDS = 100 #Don't use more words than this
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#Get dictionary/Markov chain
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wordDict = np.load('markov_dict.npy').item()
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#TODO store in global variable to minimise IO?
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#Delete command
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try:
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yield from ctx.message.delete()
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except:
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print("No permission to delete message")
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#print(wordDict)
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#Pick a random first word (Which is not an end-of-message)
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#TODO pick a word which responds to the previous message in the channel
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first_word = np.random.choice(list(wordDict.keys()))
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while first_word == self.END_OF_MESSAGE: #or first_word.islower() ???
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first_word = np.random.choice(list(wordDict.keys()))
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chain = [first_word]
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#Go through the chain:
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for i in range(MAX_N_WORDS):
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if chain[-1] == self.END_OF_MESSAGE:
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break
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#Calculate probabilities and pick a next word:
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#https://stackoverflow.com/questions/835092/python-dictionary-are-keys-and-values-always-the-same-order
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possible_words = list(wordDict[chain[-1]].keys())
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weights = np.array(list(wordDict[chain[-1]].values()))
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probs = weights / weights.sum()
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chain.append(np.random.choice(possible_words, p=probs))
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chain = chain[:-1] #remove <EOM>
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#print(' '.join(chain))
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yield from ctx.channel.send(' '.join(chain))
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