async def on_message(self, message: discord.Message):
# Prevent feedback loop
if str(message.author) == DISCORD_USERNAME:
return
filtered_content = DiscordHelper.filter_content(message)
learn = True
# Learn from private messages
if message.guild is None and DISCORD_LEARN_FROM_DIRECT_MESSAGE:
DiscordTrainingDataManager().store(message)
learn = True
# Learn from all server messages
elif message.guild is not None and DISCORD_LEARN_FROM_ALL:
if str(message.channel) not in DISCORD_LEARN_CHANNEL_EXCEPTIONS:
DiscordTrainingDataManager().store(message)
learn = True
# Learn from User
elif str(message.author) == DISCORD_LEARN_FROM_USER:
DiscordTrainingDataManager().store(message)
learn = True
# real-time learning
if learn:
self._worker.send(
ConnectorRecvMessage(filtered_content, learn=True,
reply=False))
self._worker.recv()
# Reply to mentions
for mention in message.mentions:
if str(mention) == DISCORD_USERNAME:
self._logger.debug("Message: %s" % filtered_content)
self._worker.send(ConnectorRecvMessage(filtered_content))
reply = self._worker.recv()
self._logger.debug("Reply: %s" % reply)
if reply is not None:
await channel.send(message.channel, reply)
return
# Reply to private messages
if message.guild is None:
self._logger.debug("Private Message: %s" % filtered_content)
self._worker.send(ConnectorRecvMessage(filtered_content))
reply = self._worker.recv()
self._logger.debug("Reply: %s" % reply)
if reply is not None:
await channel.send(message.channel, reply)
return
def run(self):
from storage.discord import DiscordTrainingDataManager
self._logger = logging.getLogger(self.__class__.__name__)
self._db = DiscordTrainingDataManager()
self._client = DiscordClient(self)
self._client.loop.create_task(self._watchdog())
self._client.run(self._credentials.token)
def train(self,
retrain_structure: bool = False,
retrain_markov: bool = False):
self._logger.info("Training begin")
self._train_markov(retrain_markov)
self._train_structure(retrain_structure)
# Mark data as trained
if self._twitter_connector is not None:
from storage.twitter import TwitterTrainingDataManager
TwitterTrainingDataManager().mark_trained()
if self._discord_connector is not None:
from storage.discord import DiscordTrainingDataManager
DiscordTrainingDataManager().mark_trained()
ImportTrainingDataManager().mark_trained()
self._logger.info("Training end")
async def on_message(self, message: discord.Message):
# Ignore attachements and Feedback Loop
if message.attachments or message.author.bot:
return
filtered_content = DiscordHelper.filter_content(message)
# Ignore empty and letter messages
if not len(filtered_content) > 2:
return
if filtered_content == '':
return
learn = False
# Learn from private messages
if message.guild is None and DISCORD_LEARN_FROM_DIRECT_MESSAGE:
DiscordTrainingDataManager().store(message)
learn = True
# Learn from all server messages
elif message.guild is not None and DISCORD_LEARN_FROM_ALL:
if str(message.channel) not in DISCORD_LEARN_CHANNEL_EXCEPTIONS:
DiscordTrainingDataManager().store(message)
learn = True
# Learn will accept new input from specified channel and neglect specified user
elif str(message.channel) in DISCORD_LEARN_CHANNEL and message.content is not None:
if str(message.author) in DISCORD_NEGLECT_LEARN:
return
else:
DiscordTrainingDataManager().store(message)
learn = True
# Learn from Specific User
elif str(message.author) == DISCORD_LEARN_FROM_USER:
DiscordTrainingDataManager().store(message)
learn = True
# Real-time learning
if learn:
self._worker.send(ConnectorRecvMessage(filtered_content, learn=True, reply=False))
self._worker.recv()
# This pulls from discord config, just the embed footer for gags
TALKING_VARIANT = random.choice(TALKING_TO)
# Reply to mentions
# Typically has embeds so be sure to enable the embed permission across all channels
for mention in message.mentions:
if str(mention) == DISCORD_USERNAME:
self._logger.debug("Message: %s" % filtered_content)
self._worker.send(ConnectorRecvMessage(filtered_content))
reply = self._worker.recv()
self._logger.debug("Reply: %s" % reply)
if reply is not None:
embed = discord.Embed(description=reply, color=message.author.color)
embed.set_footer(text = TALKING_VARIANT + message.author.name, icon_url = message.author.avatar_url)
embed.timestamp = datetime.utcnow()
await asyncio.sleep(0.25)
await message.channel.send(embed=embed)
return
# Extra chunck where the bot will reply via keyword or prefix found in CHATTER_PREFIX
# Keep in mind this can happen anywhere the bot has access to send messages
if message.content.lower().startswith(tuple(CHATTER_PREFIX)):
self._logger.debug("Message: %s" % filtered_content)
self._worker.send(ConnectorRecvMessage(filtered_content))
reply = self._worker.recv()
self._logger.debug("Reply: %s" % reply)
if reply is not None:
embed = discord.Embed(description=reply, color=message.author.color)
embed.set_footer(text = TALKING_VARIANT + message.author.name, icon_url = message.author.avatar_url)
embed.timestamp = datetime.utcnow()
await asyncio.sleep(0.25)
await message.channel.send(embed=embed)
return
# Channel which the bot will respond without any prefixes or @mentions
elif str(message.channel) in DISCORD_AUTO_TALK and message.content is not None:
self._logger.debug("Message: %s" % filtered_content)
self._worker.send(ConnectorRecvMessage(filtered_content))
reply = self._worker.recv()
self._logger.debug("Reply: %s" % reply)
if reply is not None:
embed = discord.Embed(description=reply, color=message.author.color)
embed.set_footer(text = str(TALKING_VARIANT) + message.author.name, icon_url = message.author.avatar_url)
embed.timestamp = datetime.utcnow()
await asyncio.sleep(0.25)
await message.channel.send(embed=embed)
return
# For the bot to reply in private messages, no embeds for private channels
elif message.guild is None:
self._logger.debug("Private Message: %s" % filtered_content)
self._worker.send(ConnectorRecvMessage(filtered_content))
reply = self._worker.recv()
self._logger.debug("Reply: %s" % reply)
if reply is not None:
await asyncio.sleep(0.25)
await message.channel.send(reply)
return
def _preprocess_markov_data(self, all_training_data: bool = False):
spacy_preprocessor = SpacyPreprocessor()
self._logger.info("Training_Preprocessing_Markov(Import)")
if not all_training_data:
imported_messages = ImportTrainingDataManager().new_training_data()
else:
imported_messages = ImportTrainingDataManager().all_training_data()
for message_idx, message in enumerate(imported_messages):
# Print Progress
if message_idx % 100 == 0:
self._logger.info(
"Training_Preprocessing_Markov(Import): %f%%" %
(message_idx / len(imported_messages) * 100))
doc = self._nlp(MarkovFilters.filter_input(message[0].decode()))
spacy_preprocessor.preprocess(doc)
tweets = None
if self._twitter_connector is not None:
self._logger.info("Training_Preprocessing_Markov(Twitter)")
from storage.twitter import TwitterTrainingDataManager
if not all_training_data:
tweets = TwitterTrainingDataManager().new_training_data()
else:
tweets = TwitterTrainingDataManager().all_training_data()
for tweet_idx, tweet in enumerate(tweets):
# Print Progress
if tweet_idx % 100 == 0:
self._logger.info(
"Training_Preprocessing_Markov(Twitter): %f%%" %
(tweet_idx / len(tweets) * 100))
doc = self._nlp(MarkovFilters.filter_input(tweet[0].decode()))
spacy_preprocessor.preprocess(doc)
discord_messages = None
if self._discord_connector is not None:
self._logger.info("Training_Preprocessing_Markov(Discord)")
from storage.discord import DiscordTrainingDataManager
if not all_training_data:
discord_messages = DiscordTrainingDataManager(
).new_training_data()
else:
discord_messages = DiscordTrainingDataManager(
).all_training_data()
for message_idx, message in enumerate(discord_messages):
# Print Progress
if message_idx % 100 == 0:
self._logger.info(
"Training_Preprocessing_Markov(Discord): %f%%" %
(message_idx / len(discord_messages) * 100))
doc = self._nlp(MarkovFilters.filter_input(
message[0].decode()))
spacy_preprocessor.preprocess(doc)
return spacy_preprocessor
def _preprocess_structure_data(self):
structure_preprocessor = StructurePreprocessor()
self._logger.info("Training_Preprocessing_Structure(Import)")
imported_messages = ImportTrainingDataManager().all_training_data(
limit=STRUCTURE_MODEL_TRAINING_MAX_SIZE,
order_by='id',
order='desc')
for message_idx, message in enumerate(imported_messages):
# Print Progress
if message_idx % 100 == 0:
self._logger.info(
"Training_Preprocessing_Structure(Import): %f%%" %
(message_idx / min(STRUCTURE_MODEL_TRAINING_MAX_SIZE,
len(imported_messages)) * 100))
doc = self._nlp(MarkovFilters.filter_input(message[0].decode()))
if not structure_preprocessor.preprocess(doc):
return structure_preprocessor
tweets = None
if self._twitter_connector is not None:
self._logger.info("Training_Preprocessing_Structure(Twitter)")
from storage.twitter import TwitterTrainingDataManager
tweets = TwitterTrainingDataManager().all_training_data(
limit=STRUCTURE_MODEL_TRAINING_MAX_SIZE,
order_by='timestamp',
order='desc')
for tweet_idx, tweet in enumerate(tweets):
# Print Progress
if tweet_idx % 100 == 0:
self._logger.info(
"Training_Preprocessing_Structure(Twitter): %f%%" %
(tweet_idx / min(STRUCTURE_MODEL_TRAINING_MAX_SIZE,
len(tweets)) * 100))
doc = self._nlp(MarkovFilters.filter_input(tweet[0].decode()))
if not structure_preprocessor.preprocess(doc):
return structure_preprocessor
discord_messages = None
if self._discord_connector is not None:
self._logger.info("Training_Preprocessing_Structure(Discord)")
from storage.discord import DiscordTrainingDataManager
discord_messages = DiscordTrainingDataManager().all_training_data(
limit=STRUCTURE_MODEL_TRAINING_MAX_SIZE,
order_by='timestamp',
order='desc')
for message_idx, message in enumerate(discord_messages):
# Print Progress
if message_idx % 100 == 0:
self._logger.info(
"Training_Preprocessing_Structure(Discord): %f%%" %
(message_idx / min(STRUCTURE_MODEL_TRAINING_MAX_SIZE,
len(discord_messages)) * 100))
doc = self._nlp(MarkovFilters.filter_input(
message[0].decode()))
if not structure_preprocessor.preprocess(doc):
return structure_preprocessor
return structure_preprocessor
async def on_message(self, message: discord.Message):
# Ignore attachements and Feedback Loop
if message.attachments or message.author.bot:
return
filtered_content = DiscordHelper.filter_content(message)
# Ignore empty and letter messages
if not len(filtered_content) > 2:
return
if filtered_content == '':
return
lang_check = detectlanguage.simple_detect(filtered_content) # Checks if the message is english or not
lang_es = 'en'
if lang_check != lang_es:
return
learn = False
# Learn from private messages
DISCORD_LEARN_SERVER_ID_EXCEPTION = list(map(int, DISCORD_LEARN_SERVER_ID_EXCEPTIONS)) # Take note there is an S
DISCORD_LEARN_NEGLECT_UID = list(map(int, DISCORD_LEARN_NEGLECT_UIDS))
if message.guild is None:
# checks for black listed user/s
if not str(message.author) in DISCORD_LEARN_NEGLECT_USERNAMES or message.author.id in DISCORD_LEARN_NEGLECT_UID:
# if user/s not in list, bot will learn
if DISCORD_LEARN_FROM_DIRECT_MESSAGE is True:
DiscordTrainingDataManager().store(message)
learn = True
# Learn from server
elif message.guild is not None:
# bot will ignore specified server ID's
if message.guild.id not in DISCORD_LEARN_SERVER_ID_EXCEPTION:
# Learn from Specific User
if str(message.author) == DISCORD_LEARN_FROM_USER:
DiscordTrainingDataManager().store(message)
learn = True
# bot will always learn from this channel except from black listed user/s
if str(message.channel) in DISCORD_LEARN_CHANNEL and not str(message.author) in DISCORD_LEARN_NEGLECT_USERNAME or message.author.id in DISCORD_LEARN_NEGLECT_UID:
if message.content is not None:
DiscordTrainingDataManager().store(message)
learn = True
# section where the bot will learn everything
if DISCORD_LEARN_FROM_ALL is True:
# specify the channel where you do not want the bot to learn from
if str(message.channel) not in DISCORD_LEARN_CHANNEL_EXCEPTIONS:
DiscordTrainingDataManager().store(message)
learn = True
# Real-time learning
if learn:
self._worker.send(ConnectorRecvMessage(filtered_content, learn=True, reply=False))
self._worker.recv()
# This pulls from discord config, just the embed footer for gags
TALKING_VARIANT = random.choice(TALKING_TO)
# Reply to mentions
# Typically has embeds so be sure to enable the embed permission across all channels
for mention in message.mentions:
if str(mention) == DISCORD_USERNAME:
self._logger.debug("Message: %s" % filtered_content)
self._worker.send(ConnectorRecvMessage(filtered_content))
reply = self._worker.recv()
self._logger.debug("Reply: %s" % reply)
if reply is not None:
embed = discord.Embed(description=reply, color=message.author.color)
embed.set_footer(text = TALKING_VARIANT + message.author.name, icon_url = message.author.avatar_url)
embed.timestamp = datetime.utcnow()
await asyncio.sleep(0.25)
await message.channel.send(embed=embed)
return
# Extra chunck where the bot will reply via keyword or prefix found in CHATTER_PREFIX
# Keep in mind this can happen anywhere the bot has access to send messages and embeds
if message.content.lower().startswith(tuple(CHATTER_PREFIX)):
self._logger.debug("Message: %s" % filtered_content)
self._worker.send(ConnectorRecvMessage(filtered_content))
reply = self._worker.recv()
self._logger.debug("Reply: %s" % reply)
if reply is not None:
embed = discord.Embed(description=reply, color=message.author.color)
embed.set_footer(text = TALKING_VARIANT + message.author.name, icon_url = message.author.avatar_url)
embed.timestamp = datetime.utcnow()
await asyncio.sleep(0.25)
await message.channel.send(embed=embed)
return
# Channel which the bot will respond without any prefixes or @mentions
elif str(message.channel) in DISCORD_AUTO_TALK and message.content is not None:
self._logger.debug("Message: %s" % filtered_content)
self._worker.send(ConnectorRecvMessage(filtered_content))
reply = self._worker.recv()
self._logger.debug("Reply: %s" % reply)
if reply is not None:
embed = discord.Embed(description=reply, color=message.author.color)
embed.set_footer(text = str(TALKING_VARIANT) + message.author.name, icon_url = message.author.avatar_url)
embed.timestamp = datetime.utcnow()
await asyncio.sleep(0.25)
await message.channel.send(embed=embed)
return
# For the bot to reply in private messages, no embeds for private channels
elif message.guild is None:
self._logger.debug("Private Message: %s" % filtered_content)
self._worker.send(ConnectorRecvMessage(filtered_content))
reply = self._worker.recv()
self._logger.debug("Reply: %s" % reply)
if reply is not None:
await asyncio.sleep(0.25)
await message.channel.send(reply)
return
