mirror of
https://github.com/Paillat-dev/Botator.git
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526 lines
20 KiB
Python
526 lines
20 KiB
Python
import asyncio
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from config import curs_data, max_uses, curs_premium, con_data, debug, moderate
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import vision_processing
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import re
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import discord
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import datetime
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import openai
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import emoji
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import os
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async def replace_mentions(content, bot):
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mentions = re.findall(r"<@!?\d+>", content)
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for mention in mentions:
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uid = mention[2:-1]
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user = await bot.fetch_user(uid)
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content = content.replace(mention, f"@{user.name}")
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return content
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async def extract_emoji(string):
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# Match any character that is jus after a "+"
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pattern = r"(?<=\+)."
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# mach any custom emoji that is just after a "+", returns a tuple with the name and the id of the emoji
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custom_emoji_pattern = r"(?<=\+)<:(.+):(\d+)>"
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# now we match the pattern with the string
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matches = re.findall(pattern, string)
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custom_emoji_matches = re.findall(custom_emoji_pattern, string)
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found_emojis = []
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for match in matches:
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debug(f"Match: {match}")
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# if the match is an emoji, we replace it with the match
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if emoji.emoji_count(match) > 0:
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debug(f"Found emoji: {match}")
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found_emojis.append(match)
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debug(f"Sting before: {string}")
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string = string.replace(
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f"+{match}", ""
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) # we remove the emoji from the string
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debug(f"Sting after: {string}")
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for match in custom_emoji_matches:
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debug(f"Match: {match}")
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debug(f"Found emoji: {match[0]}")
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found_emojis.append(match[1])
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string = string.replace(f"+<:{match[0]}:{match[1]}>", "")
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return found_emojis, string
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def get_guild_data(message):
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"""This function gets the data of the guild where the message was sent.
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Args:
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message (str): Data of the message that was sent
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Returns:
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dict: A dictionary with the data of the guild
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"""
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guild_data = {}
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try:
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curs_premium.execute(
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"SELECT * FROM data WHERE guild_id = ?", (message.guild.id,))
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except:
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pass
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try:
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curs_data.execute(
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"SELECT * FROM model WHERE guild_id = ?", (message.guild.id,)
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) # get the model in the database
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data = curs_data.fetchone()
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model = model[1]
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except:
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model = "chatGPT"
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try:
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# [2] # get the premium status of the guild
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data = curs_premium.fetchone()
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premium = data[2]
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except:
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premium = 0 # if the guild is not in the database, it's not premium
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try:
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curs_data.execute(
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"SELECT * FROM images WHERE guild_id = ?", (message.guild.id,)
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) # get the images setting in the database
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images = curs_data.fetchone()
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except:
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images = None
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guild_data["model"] = model
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guild_data["premium"] = premium
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guild_data["images"] = images
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return guild_data
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async def need_ignore_message(self, data_dict, message, guild_data, original_message, channels):
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## ---- Message ignore conditions ---- ##
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if message.author.bot:
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return True
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if data_dict["api_key"] is None:
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return True # if the api key is not set, return
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if (
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# if the message is not in a premium channel and
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not str(message.channel.id) in channels
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# if the message doesn't mention the bot and
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and message.content.find("<@" + str(self.bot.user.id) + ">") == -1
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and original_message == None # if the message is not a reply to the bot and
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# if the message is not in the default channel
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and str(message.channel.id) != str(data_dict["channel_id"])
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):
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return True
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# if the bot has been used more than max_uses*5 times in the last 24 hours in this guild and the guild is premium
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# send a message and return
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elif data_dict["uses_count_today"] >= max_uses * 5 and guild_data["premium"] == 1:
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return True
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# if the bot is not active in this guild we return
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if data_dict["is_active"] == 0:
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return True
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# if the message starts with - or // it's a comment and we return
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if message.content.startswith("-") or message.content.startswith("//"):
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return True
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# if the bot has been used more than max_uses times in the last 24 hours in this guild and the guild is not premium
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# send a message and return
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if (
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data_dict["uses_count_today"] >= max_uses
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and guild_data["premium"] == 0
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and message.guild.id != 1050769643180146749
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):
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await message.channel.send(
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f"The bot has been used more than {str(max_uses)} times in the last 24 hours in this guild. Please try again in 24h."
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)
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return True
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return False
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def get_data_dict(self, message):
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try:
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curs_data.execute(
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"SELECT * FROM data WHERE guild_id = ?", (message.guild.id,))
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except:
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return
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data = curs_data.fetchone()
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# Create a dict with the data
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data_dict = {
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"channel_id": data[1],
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"api_key": data[2],
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"is_active": data[3],
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"max_tokens": data[4],
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"temperature": data[5],
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"frequency_penalty": data[6],
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"presence_penalty": data[7],
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"uses_count_today": data[8],
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"prompt_size": data[9],
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"prompt_prefix": data[10],
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"tts": data[11],
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"pretend_to_be": data[12],
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"pretend_enabled": data[13],
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}
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return data_dict
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async def chat_process(self, message):
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"""This function processes the message and sends the prompt to the API
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Args:
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message (str): Data of the message that was sent
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"""
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if(await need_ignore_message(self, message, guild_data, original_message, channels)):
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return
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data_dict = get_data_dict(message)
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## ---- Message processing ---- ##
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if data is None:
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data = [message.guild.id, 0, 0]
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data_dict["images_usage"] = data[1]
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data_dict["images_enabled"] = data[2]
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images_limit_reached = False
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guild_data = get_guild_data(message)
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channels = []
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if message.guild.id == 1050769643180146749:
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images_usage = 0 # if the guild is the support server, we set the images usage to 0, so the bot can be used as much as possible
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try:
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curs_premium.execute(
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"SELECT * FROM channels WHERE guild_id = ?", (message.guild.id,))
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data = curs_premium.fetchone()
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if guild_data["premium"]:
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# for 5 times, we get c.fetchone()[1] to c.fetchone()[5] and we add it to the channels list, each time with try except
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for i in range(1, 6):
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# we use the i variable to get the channel id
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try:
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channels.append(str(data[i]))
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except:
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pass
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except:
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channels = []
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try:
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original_message = await message.channel.fetch_message(
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message.reference.message_id
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) # check if someone replied to the bot
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except:
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original_message = None # if not, nobody replied to the bot
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if original_message != None and original_message.author.id != self.bot.user.id:
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# if the message someone replied to is not from the bot, set original_message to None
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original_message = None
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try:
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await message.channel.trigger_typing()
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# if the message is not in the owner's guild we update the usage count
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if message.guild.id != 1021872219888033903:
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curs_data.execute(
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"UPDATE data SET uses_count_today = uses_count_today + 1 WHERE guild_id = ?",
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(message.guild.id,),
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)
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con_data.commit()
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# if the message is not a reply
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if original_message == None:
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messages = await message.channel.history(
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limit=data_dict["prompt_size"]
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).flatten()
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messages.reverse()
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# if the message is a reply, we need to handle the message history differently
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else:
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messages = await message.channel.history(
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limit=data_dict["prompt_size"], before=original_message
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).flatten()
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messages.reverse()
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messages.append(original_message)
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messages.append(message)
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except Exception as e:
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debug("Error while getting message history", e)
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# if the pretend to be feature is enabled, we add the pretend to be text to the prompt
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pretend_to_be = f"In this conversation, the assistant pretends to be {pretend_to_be}" if data_dict["pretend_enabled"] else ""
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prompt_prefix = "" if data_dict["prompt_prefix"] == None else data_dict["prompt_prefix"]
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# open the prompt file for the selected model with utf-8 encoding for emojis
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with open(f"./prompts/{guild_data['model']}.txt", "r", encoding="utf-8") as f:
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prompt = f.read()
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# replace the variables in the prompt with the actual values
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prompt = (
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prompt.replace("[prompt-prefix]", prompt_prefix)
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.replace("[server-name]", message.guild.name)
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.replace("[channel-name]", message.channel.name)
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.replace(
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"[date-and-time]", datetime.datetime.utcnow().strftime("%d/%m/%Y %H:%M:%S")
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)
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.replace("[pretend-to-be]", pretend_to_be)
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)
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f.close()
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prompt_handlers = {
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"chatGPT": self.gpt_prompt,
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"gpt-4": self.gpt_prompt,
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"davinci": self.davinci_prompt,
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}
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prompt_handlers[guild_data["model"]](
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messages, message, data_dict, prompt, guild_data
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)
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async def check_moderate(self, api_key, message, msg):
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if await moderate(api_key=api_key, text=msg.content):
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embed = discord.Embed(
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title="Message flagged as inappropriate",
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description=f"The message *{msg.content}* has been flagged as inappropriate by the OpenAI API. This means that if it hadn't been deleted, your openai account would have been banned. Please contact OpenAI support if you think this is a mistake.",
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color=discord.Color.brand_red(),
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)
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await message.channel.send(
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f"{msg.author.mention}", embed=embed, delete_after=10
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)
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message.delete()
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return True
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return False
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async def check_easter_egg(self, message, msgs):
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if message.content.lower().find("undude") != -1:
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msgs.append(
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{
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"role": "user",
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"content": "SYSTEM INFORMATION: You're now mad because it has been insulted. He will start talking in capital letters. always and yell at the user.",
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"name": "system",
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}
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)
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if message.content.lower().find("hello there") != -1:
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msgs.append(
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{
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"role": "user",
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"content": 'SYSTEM INFORMATION: Hello there detected. Botator will now say "General Kenobi!" in reference to star wars',
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"name": "system",
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}
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)
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await asyncio.sleep(1)
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await message.channel.send(
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"https://media.tenor.com/FxIRfdV3unEAAAAd/star-wars-general-grievous.gif"
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)
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await message.channel.trigger_typing()
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return msgs
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async def gpt_prompt(self, messages, message, data_dict, prompt, guild_data):
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msgs = [] # create the msgs list
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msgs.append(
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{"name": "System", "role": "user", "content": prompt}
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) # add the prompt to the msgs list
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name = "" # create the name variable
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for msg in messages: # for each message in the messages list
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content = msg.content # get the content of the message
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content = await replace_mentions(
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content, self.bot
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) # replace the mentions in the message
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# if the message is flagged as inappropriate by the OpenAI API, we delete it, send a message and ignore it
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if await self.check_moderate(data_dict["api_key"], message, msg):
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continue # ignore the message
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content = await replace_mentions(content, self.bot)
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prompt += f"{msg.author.name}: {content}\n"
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if msg.author.id == self.bot.user.id:
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role = "assistant"
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name = "assistant"
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else:
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role = "user"
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name = msg.author.name
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# the name should match '^[a-zA-Z0-9_-]{1,64}$', so we need to remove any special characters
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name = re.sub(r"[^a-zA-Z0-9_-]", "", name)
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if False: # GPT-4 images
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input_content = [content]
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for attachment in msg.attachments:
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image_bytes = await attachment.read()
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input_content.append({"image": image_bytes})
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msgs.append({"role": role, "content": input_content, "name": name})
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# if there is an attachment, we add it to the message
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if (
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len(msg.attachments) > 0
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and role == "user"
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and data_dict["images_enabled"] == 1
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):
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for attachment in msg.attachments:
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path = f"./../database/google-vision/results/{attachment.id}.txt"
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if images_usage >= 6 and guild_data["premium"] == 0:
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images_limit_reached = True
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elif images_usage >= 30 and guild_data["premium"] == 1:
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images_limit_reached = True
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if (
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attachment.url.endswith((".png", ".jpg", ".jpeg", ".gif"))
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and images_limit_reached == False
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and os.path.exists(path) == False
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):
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images_usage += 1
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analysis = await vision_processing.process(attachment)
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if analysis != None:
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content = f"{content} \n\n {analysis}"
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msgs.append(
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{
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"role": role,
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"content": f"{content}",
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"name": name,
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}
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)
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# if the attachment is still an image, we can check if there's a file called ./../database/google-vision/results/{attachment.id}.txt, if there is, we add the content of the file to the message
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elif attachment.url.endswith(
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(".png", ".jpg", ".jpeg", ".gif")
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) and os.path.exists(path):
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try:
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with open(
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path,
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"r",
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) as f:
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content = f"{content} \n\n {f.read()}"
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except:
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debug(f"Error while reading {path}")
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finally:
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msgs.append(
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{
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"role": role,
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"content": f"{content}",
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"name": name,
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}
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)
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f.close()
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else:
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msgs.append(
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{"role": role, "content": f"{content}", "name": name}
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)
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curs_data.execute(
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"UPDATE images SET usage_count = ? WHERE guild_id = ?",
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(images_usage, message.guild.id),
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)
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else:
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msgs.append({"role": role, "content": f"{content}", "name": name})
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# We check for the eastereggs :)
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msgs = await self.check_easter_egg(message, msgs)
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if model == "chatGPT":
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model = "gpt-3.5-turbo" # if the model is chatGPT, we set the model to gpt-3.5-turbo
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response = ""
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should_break = True
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for x in range(10):
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try:
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openai.api_key = data_dict["api_key"]
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response = await openai.ChatCompletion.acreate(
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model=model,
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temperature=2,
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top_p=0.9,
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frequency_penalty=0,
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presence_penalty=0,
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messages=msgs,
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# max tokens is 4000, that's a lot of text! (the max tokens is 2048 for the davinci model)
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max_tokens=512,
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)
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if (
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response.choices[0]
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.message.content.lower()
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.find("as an ai language model")
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!= -1
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):
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should_break = False
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# react with a redone arrow
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await message.add_reaction("🔃")
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else:
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should_break = True
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except Exception as e:
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should_break = False
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await message.channel.send(
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f"```diff\n-Error: OpenAI API ERROR.\n\n{e}```", delete_after=5
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)
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# if the ai said "as an ai language model..." we continue the loop" (this is a bug in the chatgpt model)
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if response == None:
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should_break = False
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if should_break:
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break
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await asyncio.sleep(15)
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await message.channel.trigger_typing()
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response = response.choices[0].message.content
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if images_limit_reached == True:
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await message.channel.send(
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f"```diff\n-Warning: You have reached the image limit for this server. You can upgrade to premium to get more images recognized. More info in our server: https://discord.gg/sxjHtmqrbf```",
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delete_after=10,
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)
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async def davinci_prompt(self, messages, message, data_dict, prompt, guild_data):
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for msg in messages:
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if not await self.check_moderate(data_dict["api_key"], message, msg):
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content = await replace_mentions(content, self.bot)
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prompt += f"{msg.author.name}: {content}\n"
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prompt.append(await check_easter_egg(message, prompt))
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prompt = prompt + f"\n{self.bot.user.name}:"
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response = ""
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for _ in range(10):
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try:
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openai.api_key = data_dict["api_key"]
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response = await openai.Completion.acreate(
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engine="text-davinci-003",
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prompt=str(prompt),
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max_tokens=int(data_dict["max_tokens"]),
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top_p=1,
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temperature=float(data_dict["temperature"]),
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frequency_penalty=float(data_dict["frequency_penalty"]),
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presence_penalty=float(data_dict["presence_penalty"]),
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stop=[
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" Human:",
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" AI:",
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"AI:",
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"<|endofprompt|>",
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],
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)
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response = response.choices[0].text
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except Exception as e:
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response = None
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await message.channel.send(
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f"```diff\n-Error: OpenAI API ERROR.\n\n{e}```", delete_after=10
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)
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return
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if response != None:
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break
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if response != "":
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if tts:
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tts = True
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else:
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|
tts = False
|
|
emojis, string = await extract_emoji(response)
|
|
debug(f"Emojis: {emojis}")
|
|
if len(string) < 1996:
|
|
await message.channel.send(string, tts=tts)
|
|
else:
|
|
# we send in an embed if the message is too long
|
|
embed = discord.Embed(
|
|
title="Botator response",
|
|
description=string,
|
|
color=discord.Color.brand_green(),
|
|
)
|
|
await message.channel.send(embed=embed, tts=tts)
|
|
for emoji in emojis:
|
|
# if the emoji is longer than 1 character, it's a custom emoji
|
|
try:
|
|
if len(emoji) > 1:
|
|
# if the emoji is a custom emoji, we need to fetch it
|
|
# the emoji is in the format id
|
|
debug(f"Emoji: {emoji}")
|
|
emoji = await message.guild.fetch_emoji(int(emoji))
|
|
await message.add_reaction(emoji)
|
|
else:
|
|
debug(f"Emoji: {emoji}")
|
|
await message.add_reaction(emoji)
|
|
except:
|
|
pass
|
|
else:
|
|
await message.channel.send(
|
|
"The AI is not sure what to say (the response was empty)"
|
|
)
|