import asyncio import logging import os import pathlib from collections import defaultdict from datetime import datetime, timedelta from functools import partial from typing import Dict, List, Optional import discord from chatterbot import ChatBot from chatterbot.comparisons import JaccardSimilarity, LevenshteinDistance, SpacySimilarity from chatterbot.response_selection import get_random_response from chatterbot.trainers import ChatterBotCorpusTrainer, ListTrainer, UbuntuCorpusTrainer from redbot.core import Config, checks, commands from redbot.core.commands import Cog from redbot.core.data_manager import cog_data_path from redbot.core.utils.predicates import MessagePredicate from chatter.trainers import MovieTrainer, TwitterCorpusTrainer, UbuntuCorpusTrainer2 log = logging.getLogger("red.fox_v3.chatter") def my_local_get_prefix(prefixes, content): for p in prefixes: if content.startswith(p): return p return None class ENG_LG: ISO_639_1 = "en_core_web_lg" ISO_639 = "eng" ENGLISH_NAME = "English" class ENG_MD: ISO_639_1 = "en_core_web_md" ISO_639 = "eng" ENGLISH_NAME = "English" class ENG_SM: ISO_639_1 = "en_core_web_sm" ISO_639 = "eng" ENGLISH_NAME = "English" class Chatter(Cog): """ This cog trains a chatbot that will talk like members of your Guild """ def __init__(self, bot): super().__init__() self.bot = bot self.config = Config.get_conf(self, identifier=6710497116116101114) default_global = {"learning": True} default_guild = { "whitelist": None, "days": 1, "convo_delta": 15, "chatchannel": None, "reply": True, } path: pathlib.Path = cog_data_path(self) self.data_path = path / "database.sqlite3" # TODO: Move training_model and similarity_algo to config # TODO: Add an option to see current settings self.tagger_language = ENG_MD self.similarity_algo = SpacySimilarity self.similarity_threshold = 0.90 self.chatbot = self._create_chatbot() # self.chatbot.set_trainer(ListTrainer) # self.trainer = ListTrainer(self.chatbot) self.config.register_global(**default_global) self.config.register_guild(**default_guild) self.loop = asyncio.get_event_loop() self._guild_cache = defaultdict(dict) self._global_cache = {} self._last_message_per_channel: Dict[Optional[discord.Message]] = defaultdict(lambda: None) async def red_delete_data_for_user(self, **kwargs): """Nothing to delete""" return def _create_chatbot(self): return ChatBot( "ChatterBot", # storage_adapter="chatterbot.storage.SQLStorageAdapter", storage_adapter="chatter.storage_adapters.MyDumbSQLStorageAdapter", database_uri="sqlite:///" + str(self.data_path), statement_comparison_function=self.similarity_algo, response_selection_method=get_random_response, logic_adapters=["chatterbot.logic.BestMatch"], maximum_similarity_threshold=self.similarity_threshold, tagger_language=self.tagger_language, logger=log, ) async def _get_conversation(self, ctx, in_channels: List[discord.TextChannel]): """ Compiles all conversation in the Guild this bot can get it's hands on Currently takes a stupid long time Returns a list of text """ out = [[]] after = datetime.today() - timedelta(days=(await self.config.guild(ctx.guild).days())) convo_delta = timedelta(minutes=(await self.config.guild(ctx.guild).convo_delta())) def predicate(msg: discord.Message): return msg.clean_content def new_conversation(msg, sent, out_in, delta): # Should always be positive numbers return msg.created_at - sent >= delta for channel in in_channels: # if in_channel: # channel = in_channel await ctx.maybe_send_embed("Gathering {}".format(channel.mention)) user = None i = 0 send_time = after - timedelta(days=100) # Makes the first message a new message try: async for message in channel.history( limit=None, after=after, oldest_first=True ).filter( predicate=predicate ): # type: discord.Message # if message.author.bot: # Skip bot messages # continue if new_conversation(message, send_time, out[i], convo_delta): out.append([]) i += 1 user = None send_time = ( message.created_at ) # + timedelta(seconds=1) # Can't remember why I added 1 second if user == message.author: out[i][-1] += "\n" + message.clean_content else: user = message.author out[i].append(message.clean_content) except discord.Forbidden: pass except discord.HTTPException: pass # if in_channel: # break return out def _train_twitter(self, *args, **kwargs): trainer = TwitterCorpusTrainer(self.chatbot) trainer.train(*args, **kwargs) return True def _train_ubuntu(self): trainer = UbuntuCorpusTrainer( self.chatbot, ubuntu_corpus_data_directory=cog_data_path(self) / "ubuntu_data" ) trainer.train() return True async def _train_movies(self): trainer = MovieTrainer(self.chatbot, cog_data_path(self)) return await trainer.asynctrain() async def _train_ubuntu2(self, intensity): train_kwarg = {} if intensity == 196: train_kwarg["train_dialogue"] = False train_kwarg["train_196"] = True elif intensity == 301: train_kwarg["train_dialogue"] = False train_kwarg["train_301"] = True elif intensity == 497: train_kwarg["train_dialogue"] = False train_kwarg["train_196"] = True train_kwarg["train_301"] = True elif intensity >= 9000: # NOT 9000! train_kwarg["train_dialogue"] = True train_kwarg["train_196"] = True train_kwarg["train_301"] = True trainer = UbuntuCorpusTrainer2(self.chatbot, cog_data_path(self)) return await trainer.asynctrain(**train_kwarg) def _train_english(self): trainer = ChatterBotCorpusTrainer(self.chatbot) # try: trainer.train("chatterbot.corpus.english") # except: # return False return True def _train(self, data): trainer = ListTrainer(self.chatbot) total = len(data) for c, convo in enumerate(data, 1): log.info(f"{c} / {total}") if len(convo) > 1: # TODO: Toggleable skipping short conversations trainer.train(convo) return True @commands.group(invoke_without_command=False) async def chatter(self, ctx: commands.Context): """ Base command for this cog. Check help for the commands list. """ self._guild_cache[ctx.guild.id] = {} # Clear cache when modifying values self._global_cache = {} @commands.admin() @chatter.command(name="channel") async def chatter_channel( self, ctx: commands.Context, channel: Optional[discord.TextChannel] = None ): """ Set a channel that the bot will respond in without mentioning it Pass with no channel object to clear this guild's channel """ if channel is None: await self.config.guild(ctx.guild).chatchannel.set(None) await ctx.maybe_send_embed("Chat channel for guild is cleared") else: if channel.guild != ctx.guild: await ctx.maybe_send_embed("What are you trying to pull here? :eyes:") return await self.config.guild(ctx.guild).chatchannel.set(channel.id) await ctx.maybe_send_embed(f"Chat channel is now {channel.mention}") @commands.admin() @chatter.command(name="reply") async def chatter_reply(self, ctx: commands.Context, toggle: Optional[bool] = None): """ Toggle bot reply to messages if conversation continuity is not present """ reply = await self.config.guild(ctx.guild).reply() if toggle is None: toggle = not reply await self.config.guild(ctx.guild).reply.set(toggle) if toggle: await ctx.maybe_send_embed( "I will now respond to you if conversation continuity is not present" ) else: await ctx.maybe_send_embed( "I will not reply to your message if conversation continuity is not present, anymore" ) @commands.is_owner() @chatter.command(name="learning") async def chatter_learning(self, ctx: commands.Context, toggle: Optional[bool] = None): """ Toggle the bot learning from its conversations. This is a global setting. This is on by default. """ learning = await self.config.learning() if toggle is None: toggle = not learning await self.config.learning.set(toggle) if toggle: await ctx.maybe_send_embed("I will now learn from conversations.") else: await ctx.maybe_send_embed("I will no longer learn from conversations.") @commands.is_owner() @chatter.command(name="cleardata") async def chatter_cleardata(self, ctx: commands.Context, confirm: bool = False): """ This command will erase all training data and reset your configuration settings. This applies to all guilds. Use `[p]chatter cleardata True` to confirm. """ if not confirm: await ctx.maybe_send_embed( "Warning, this command will erase all your training data and reset your configuration\n" "If you want to proceed, run the command again as `[p]chatter cleardata True`" ) return async with ctx.typing(): await self.config.clear_all() self.chatbot = None await asyncio.sleep( 10 ) # Pause to allow pending commands to complete before deleting sql data if os.path.isfile(self.data_path): try: os.remove(self.data_path) except PermissionError: await ctx.maybe_send_embed( "Failed to clear training database. Please wait a bit and try again" ) self._create_chatbot() await ctx.tick() @commands.is_owner() @chatter.command(name="algorithm", aliases=["algo"]) async def chatter_algorithm( self, ctx: commands.Context, algo_number: int, threshold: float = None ): """ Switch the active logic algorithm to one of the three. Default after reload is Spacy 0: Spacy 1: Jaccard 2: Levenshtein """ algos = [SpacySimilarity, JaccardSimilarity, LevenshteinDistance] if algo_number < 0 or algo_number > 2: await ctx.send_help() return if threshold is not None: if threshold >= 1 or threshold <= 0: await ctx.maybe_send_embed( "Threshold must be a number between 0 and 1 (exclusive)" ) return else: self.similarity_threshold = threshold self.similarity_algo = algos[algo_number] async with ctx.typing(): self.chatbot = self._create_chatbot() await ctx.tick() @commands.is_owner() @chatter.command(name="model") async def chatter_model(self, ctx: commands.Context, model_number: int): """ Switch the active model to one of the three. Default after reload is Medium 0: Small 1: Medium 2: Large (Requires additional setup) """ models = [ENG_SM, ENG_MD, ENG_LG] if model_number < 0 or model_number > 2: await ctx.send_help() return if model_number == 2: await ctx.maybe_send_embed( "Additional requirements needed. See guide before continuing.\n" "Continue?" ) pred = MessagePredicate.yes_or_no(ctx) try: await self.bot.wait_for("message", check=pred, timeout=30) except TimeoutError: await ctx.send("Response timed out, please try again later.") return if not pred.result: return self.tagger_language = models[model_number] async with ctx.typing(): self.chatbot = self._create_chatbot() await ctx.maybe_send_embed( f"Model has been switched to {self.tagger_language.ISO_639_1}" ) @commands.is_owner() @chatter.command(name="minutes") async def minutes(self, ctx: commands.Context, minutes: int): """ Sets the number of minutes the bot will consider a break in a conversation during training Active servers should set a lower number, while less active servers should have a higher number """ if minutes < 1: await ctx.send_help() return await self.config.guild(ctx.guild).convo_delta.set(minutes) await ctx.tick() @commands.is_owner() @chatter.command(name="age") async def age(self, ctx: commands.Context, days: int): """ Sets the number of days to look back Will train on 1 day otherwise """ if days < 1: await ctx.send_help() return await self.config.guild(ctx.guild).days.set(days) await ctx.tick() @commands.is_owner() @chatter.command(name="kaggle") async def chatter_kaggle(self, ctx: commands.Context): """Register with the kaggle API to download additional datasets for training""" if not await self.check_for_kaggle(): await ctx.maybe_send_embed( "[Click here for instructions to setup the kaggle api](https://github.com/Kaggle/kaggle-api#api-credentials)" ) @commands.is_owner() @chatter.command(name="backup") async def backup(self, ctx, backupname): """ Backup your training data to a json for later use """ await ctx.maybe_send_embed("Backing up data, this may take a while") path: pathlib.Path = cog_data_path(self) trainer = ListTrainer(self.chatbot) future = await self.loop.run_in_executor( None, trainer.export_for_training, str(path / f"{backupname}.json") ) if future: await ctx.maybe_send_embed(f"Backup successful! Look in {path} for your backup") else: await ctx.maybe_send_embed("Error occurred :(") @commands.is_owner() @chatter.group(name="train") async def chatter_train(self, ctx: commands.Context): """Commands for training the bot""" pass @chatter_train.group(name="kaggle") async def chatter_train_kaggle(self, ctx: commands.Context): """ Base command for kaggle training sets. See `[p]chatter kaggle` for details on how to enable this option """ pass @chatter_train_kaggle.command(name="ubuntu") async def chatter_train_kaggle_ubuntu( self, ctx: commands.Context, confirmation: bool = False, intensity=0 ): """ WARNING: Large Download! Trains the bot using *NEW* Ubuntu Dialog Corpus data. """ if not confirmation: await ctx.maybe_send_embed( "Warning: This command downloads ~800MB and is CPU intensive during training\n" "If you're sure you want to continue, run `[p]chatter train kaggle ubuntu True`" ) return async with ctx.typing(): future = await self._train_ubuntu2(intensity) if future: await ctx.maybe_send_embed("Training successful!") else: await ctx.maybe_send_embed("Error occurred :(") @chatter_train_kaggle.command(name="movies") async def chatter_train_kaggle_movies(self, ctx: commands.Context, confirmation: bool = False): """ WARNING: Language! Trains the bot using Cornell University's "Movie Dialog Corpus". This training set contains dialog from a spread of movies with different MPAA. This dialog includes racism, sexism, and any number of sensitive topics. Use at your own risk. """ if not confirmation: await ctx.maybe_send_embed( "Warning: This command downloads ~29MB and is CPU intensive during training\n" "If you're sure you want to continue, run `[p]chatter train kaggle movies True`" ) return async with ctx.typing(): future = await self._train_movies() if future: await ctx.maybe_send_embed("Training successful!") else: await ctx.maybe_send_embed("Error occurred :(") @chatter_train.command(name="ubuntu") async def chatter_train_ubuntu(self, ctx: commands.Context, confirmation: bool = False): """ WARNING: Large Download! Trains the bot using Ubuntu Dialog Corpus data. """ if not confirmation: await ctx.maybe_send_embed( "Warning: This command downloads ~500MB and is CPU intensive during training\n" "If you're sure you want to continue, run `[p]chatter train ubuntu True`" ) return async with ctx.typing(): future = await self.loop.run_in_executor(None, self._train_ubuntu) if future: await ctx.maybe_send_embed("Training successful!") else: await ctx.maybe_send_embed("Error occurred :(") @chatter_train.command(name="english") async def chatter_train_english(self, ctx: commands.Context): """ Trains the bot in english """ async with ctx.typing(): future = await self.loop.run_in_executor(None, self._train_english) if future: await ctx.maybe_send_embed("Training successful!") else: await ctx.maybe_send_embed("Error occurred :(") @chatter_train.command(name="list") async def chatter_train_list(self, ctx: commands.Context): """Trains the bot based on an uploaded list. Must be a file in the format of a python list: ['prompt', 'response1', 'response2'] """ if not ctx.message.attachments: await ctx.maybe_send_embed("You must upload a file when using this command") return attachment: discord.Attachment = ctx.message.attachments[0] a_bytes = await attachment.read() await ctx.send("Not yet implemented") @chatter_train.command(name="channel") async def chatter_train_channel( self, ctx: commands.Context, channels: commands.Greedy[discord.TextChannel] ): """ Trains the bot based on language in this guild. """ if not channels: await ctx.send_help() return await ctx.maybe_send_embed( "Warning: The cog may use significant RAM or CPU if trained on large data sets.\n" "Additionally, large sets will use more disk space to save the trained data.\n\n" "If you experience issues, clear your trained data and train again on a smaller scope." ) async with ctx.typing(): conversation = await self._get_conversation(ctx, channels) if not conversation: await ctx.maybe_send_embed("Failed to gather training data") return await ctx.maybe_send_embed( "Gather successful! Training begins now\n" "(**This will take a long time, be patient. See console for progress**)" ) embed = discord.Embed(title="Loading") embed.set_image(url="http://www.loop.universaleverything.com/animations/1295.gif") temp_message = await ctx.send(embed=embed) future = await self.loop.run_in_executor(None, self._train, conversation) try: await temp_message.delete() except discord.Forbidden: pass if future: await ctx.maybe_send_embed("Training successful!") else: await ctx.maybe_send_embed("Error occurred :(") @Cog.listener() async def on_message_without_command(self, message: discord.Message): """ Credit to https://github.com/Twentysix26/26-Cogs/blob/master/cleverbot/cleverbot.py for on_message recognition of @bot Credit to: https://github.com/Cog-Creators/Red-DiscordBot/blob/V3/develop/redbot/cogs/customcom/customcom.py#L508 for the message filtering """ ########### if len(message.content) < 2 or message.author.bot: return guild: discord.Guild = getattr(message, "guild", None) if await self.bot.cog_disabled_in_guild(self, guild): return ctx: commands.Context = await self.bot.get_context(message) if ctx.prefix is not None: # Probably unnecessary, we're in on_message_without_command return ########### # Thank you Cog-Creators channel: discord.TextChannel = message.channel if not self._guild_cache[guild.id]: self._guild_cache[guild.id] = await self.config.guild(guild).all() is_reply = False # this is only useful with in_response_to if ( message.reference is not None and isinstance(message.reference.resolved, discord.Message) and message.reference.resolved.author.id == self.bot.user.id ): is_reply = True # this is only useful with in_response_to pass # this is a reply to the bot, good to go elif guild is not None and channel.id == self._guild_cache[guild.id]["chatchannel"]: pass # good to go else: when_mentionables = commands.when_mentioned(self.bot, message) prefix = my_local_get_prefix(when_mentionables, message.content) if prefix is None: # print("not mentioned") return message.content = message.content.replace(prefix, "", 1) text = message.clean_content async with ctx.typing(): if is_reply: in_response_to = message.reference.resolved.content elif self._last_message_per_channel[ctx.channel.id] is not None: last_m: discord.Message = self._last_message_per_channel[ctx.channel.id] minutes = self._guild_cache[ctx.guild.id]["convo_delta"] if (datetime.utcnow() - last_m.created_at).seconds > minutes * 60: in_response_to = None else: in_response_to = last_m.content else: in_response_to = None # Always use generate reponse # Chatterbot tries to learn based on the result it comes up with, which is dumb log.debug("Generating response") Statement = self.chatbot.storage.get_object("statement") future = await self.loop.run_in_executor( None, self.chatbot.generate_response, Statement(text) ) if not self._global_cache: self._global_cache = await self.config.all() if in_response_to is not None and self._global_cache["learning"]: log.debug("learning response") await self.loop.run_in_executor( None, partial( self.chatbot.learn_response, Statement(text), previous_statement=in_response_to, ), ) replying = None if self._guild_cache[guild.id]["reply"]: if message != ctx.channel.last_message: replying = message if future and str(future): self._last_message_per_channel[ctx.channel.id] = await channel.send( str(future), reference=replying ) else: await ctx.send(":thinking:") async def check_for_kaggle(self): """Check whether Kaggle is installed and configured properly""" # TODO: This return False