de Guus filter

Chatbot.py

@@ -3,6 +3,7 @@ import discord
 from discord.ext import commands
 import numpy as np
 import random
+from datetime import datetime
 
 class Chatbot(object):
 	"""Een heuse chatbot. Under construction..."""
@@ -12,6 +13,8 @@ class Chatbot(object):
 		self.voice_states = {}
 		self.END_OF_MESSAGE = "<EOM>"
 		self.START_OF_MESSAGE = "<SOM>"
+		self.pmLast = datetime(2018, 1, 1, 1, 1, 1)
+		self.pmCount = 0
 		try:
 			np.load('markov_dict.npy')
 		except FileNotFoundError:
@@ -35,7 +38,10 @@ class Chatbot(object):
 					return
 					
 				if "DMChannel" in type(message.channel).__name__: #respond to messages in PM channels
-					yield from self.learnFromMessagesInChannel(message.channel.id, 1)
+					if (self.isAllowedToLearnFromPm(message)): #avoid spam-learning
+						self.pmCount += 1
+						self.pmLast = datetime.now()
+						yield from self.learnFromMessagesInChannel(message.channel.id, 1)
 					yield from self.respondToMessage(message)
 				elif message.channel.id == self.bot.hdChannels["belangrijk"]: #don't abuse the "belangrijk" channel
 					pass
@@ -54,7 +60,20 @@ class Chatbot(object):
 	def __check(self, ctx):
 		return True
 		
-		
+	
+	#The "Guus filter"
+	#Don't allow to learn from very large personal messages
+	#Only learn from 10 personal messages per hour at most
+	def isAllowedToLearnFromPm(self, message):
+		if len(message.content.strip()) > 150:
+			return False
+		diff = datetime.now() - self.pmLast
+		if diff.days > 0 or diff.seconds > 3600:
+			self.pmCount = 0
+			return True
+		if self.pmCount > 10:
+			return False
+		return True
 	
 	#Make word pairs:
 	def makePairs(self, corpus):
@@ -209,7 +228,7 @@ class Chatbot(object):
 	@commands.command(pass_context=True, hidden=False)
 	@asyncio.coroutine	
 	def reageer(self, ctx):
-		"""UNDER CONSTRUCTION. Laat Stroop ergens op reageren.
+		"""Laat Stroop ergens op reageren.
 		Stroop leert van onze gesprekken. Hij kan zich nu voordoen als een van ons. Soort van.
 		"""