Chatbot v1

.gitignore

@@ -6,3 +6,4 @@ test.png
 password.txt
 stroopwafel.token
 UpgradeLog\.htm
+markov_dict.npy

Chatbot.py

@@ -0,0 +1,126 @@
+import asyncio
+import discord
+from discord.ext import commands
+import numpy as np
+
+class Chatbot(object):
+	"""Een heuse chatbot. Under construction..."""
+	
+	def __init__(self, bot):
+		self.bot = bot
+		self.voice_states = {}
+		self.END_OF_MESSAGE = "<EOM>"
+		try:
+			np.load('markov_dict.npy')
+		except FileNotFoundError:
+			#If there's no initial file, make a new one:
+			initFile = {'Hoi':{self.END_OF_MESSAGE : 1}}
+			np.save("markov_dict.npy", initFile)
+		except:
+			print("ERROR! - Could not open or create Markov chat file")
+	def __check(self, ctx):
+		return True
+		
+	#TODO laat Stroop reageren op persoonlijke berichten
+	
+	#Make word pairs:
+	def makePairs(self, corpus):
+		for i in range(len(corpus)-1):
+			yield (corpus[i], corpus[i+1])
+		
+	#Learn from a human message
+	#Returns an updated dict
+	def learnFrom(self, initialWordDict, message: str):
+		newWordDict = initialWordDict
+		
+		message = message + " " + self.END_OF_MESSAGE
+		corpus = message.split()
+		pairs = self.makePairs(corpus)
+
+		#Add wordcounts to dict
+		for word_1, word_2 in pairs:
+			if word_1 in newWordDict.keys():
+				if word_2 in newWordDict[word_1].keys():
+					newWordDict[word_1][word_2] += 1
+				else:
+					newWordDict[word_1][word_2] = 1
+			else:
+				newWordDict[word_1] = {word_2 : 1}
+		return newWordDict;
+				
+	@commands.command(pass_context=True, hidden=True)
+	@asyncio.coroutine	
+	def trainmarkovchat(self, ctx, channelId=409751773595566081, nrOfMessages=50):
+		"""Train that chain, jermaine
+		param channelId: use this channel to train
+		param nrOfMessages: use the x most recent messages
+		"""
+		
+		channel=self.bot.get_channel(channelId)
+		#Open current chain:
+		wordDict = np.load('markov_dict.npy').item()
+		
+		#Iterate through the last x messages from the channel:
+		iterator = channel.history(limit=nrOfMessages, before=None, after=None, reverse=False, around=None)
+		for i in range(nrOfMessages):
+			msg = yield from iterator.next()
+			messageContent = msg.content.strip()
+			if messageContent == "":
+				pass #print("-- Bericht is leeg. Negeer.")
+			elif msg.author.bot:
+				pass #print("-- Dit is een bot chat. Negeer.")
+			elif messageContent[0] == "!":
+				pass #print("-- Dit is een commando. Negeer.")
+			elif "```" in messageContent:
+				pass #print("-- Daar zit een codeblok in. Negeer.")
+			else:
+				wordDict = self.learnFrom(wordDict, messageContent)
+			
+		np.save("markov_dict.npy", wordDict)
+		yield from ctx.channel.send("Ik heb weer wat nieuwe woordjes geleerd. :slight_smile:")
+		
+	
+	@commands.command(pass_context=True, hidden=False)
+	@asyncio.coroutine	
+	def reageer(self, ctx):
+		"""UNDER CONSTRUCTION. Laat Stroop iets willekeurigs zeggen.
+		Stroop leert van onze gesprekken. Hij kan zich nu voordoen als een van ons. Soort van.
+		"""
+		
+		MAX_N_WORDS = 100 #Don't use more words than this
+		
+		#Get dictionary/Markov chain
+		wordDict = np.load('markov_dict.npy').item()
+		#TODO store in global variable to minimise IO?
+
+		#Delete command
+		try:
+			yield from ctx.message.delete()
+		except:
+			print("No permission to delete message")
+			
+		#print(wordDict)
+		
+		#Pick a random first word (Which is not an end-of-message)
+		#TODO pick a word which responds to the previous message in the channel
+		first_word = np.random.choice(list(wordDict.keys()))
+		while first_word == self.END_OF_MESSAGE: #or first_word.islower() ???
+			first_word = np.random.choice(list(wordDict.keys()))
+		chain = [first_word]
+
+		#Go through the chain:
+		for i in range(MAX_N_WORDS):
+			if chain[-1] == self.END_OF_MESSAGE:
+				break
+			#Calculate probabilities and pick a next word:
+			#https://stackoverflow.com/questions/835092/python-dictionary-are-keys-and-values-always-the-same-order
+			possible_words = list(wordDict[chain[-1]].keys())
+			weights = np.array(list(wordDict[chain[-1]].values()))
+			probs = weights / weights.sum()
+			chain.append(np.random.choice(possible_words, p=probs))
+
+		chain = chain[:-1] #remove <EOM>
+			
+		#print(' '.join(chain))
+		yield from ctx.channel.send(' '.join(chain))
+		

README.md

@@ -25,3 +25,4 @@ Verder zoek je het maar lekker zelf uit. Of installeer deze requirements:
 * `oauth2`
 * `sympy`
 * `asyncio`
+* `numpy`

Stroopwafel.py

@@ -5,6 +5,7 @@ import Porno
 import Shitpost
 import General
 import Cryptocoin
+import Chatbot
 import logging
 import importlib
 
@@ -19,6 +20,7 @@ bot.add_cog(Shitpost.Shitpost(bot))
 bot.add_cog(Porno.Porno(bot))
 bot.add_cog(General.General(bot))
 bot.add_cog(Cryptocoin.Cryptocoin(bot))
+bot.add_cog(Chatbot.Chatbot(bot))
 
 tokenfile = open("stroopwafel.token","r")
 token = tokenfile.readline()