parent
c338d2aea3
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import asyncio
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import os
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import traceback
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from datetime import datetime
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from pathlib import Path
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import discord
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from models.openai_model import Model
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from models.usage_service_model import UsageService
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usage_service = UsageService(Path(os.environ.get("DATA_DIR", os.getcwd())))
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model = Model(usage_service)
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class Moderation:
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def __init__(self, message, timestamp):
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self.message = message
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self.timestamp = timestamp
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@staticmethod
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def build_moderation_embed():
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# Create a discord embed to send to the user when their message gets moderated
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embed = discord.Embed(
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title="Your message was moderated",
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description="Our automatic moderation systems detected that your message was inappropriate and has been deleted. Please review the rules.",
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colour=discord.Colour.red(),
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)
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# Set the embed thumbnail
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embed.set_thumbnail(
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url="https://i.imgur.com/2oL8JSp.png"
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)
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embed.set_footer(text="If you think this was a mistake, please contact the server admins.")
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return embed
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@staticmethod
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def build_admin_moderated_message(moderated_message, response_message):
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# Create a discord embed to send to the user when their message gets moderated
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embed = discord.Embed(
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title="A message was moderated in the "+moderated_message.message.guild.name+" server",
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description=f"Message from {moderated_message.message.author.mention} was moderated: {moderated_message.message.content}",
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colour=discord.Colour.yellow(),
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)
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# Get the link to the moderated message
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link = f"https://discord.com/channels/{response_message.guild.id}/{response_message.channel.id}/{response_message.id}"
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# set the link of the embed
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embed.add_field(name="Moderated message link", value=link, inline=False)
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return embed
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@staticmethod
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def determine_moderation_result(response):
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HATE_THRESHOLD = 0.005
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HATE_VIOLENCE_THRESHOLD = 0.05
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SELF_HARM_THRESHOLD = 0.05
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SEXUAL_THRESHOLD = 0.75
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SEXUAL_MINORS_THRESHOLD = 0.1
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VIOLENCE_THRESHOLD = 0.01
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VIOLENCE_GRAPHIC_THRESHOLD = 0.1
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thresholds = [HATE_THRESHOLD, HATE_VIOLENCE_THRESHOLD, SELF_HARM_THRESHOLD, SEXUAL_THRESHOLD, SEXUAL_MINORS_THRESHOLD, VIOLENCE_THRESHOLD, VIOLENCE_GRAPHIC_THRESHOLD]
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threshold_iterator = ['hate','hate/threatening','self-harm','sexual','sexual/minors','violence','violence/graphic']
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category_scores = response['results'][0]['category_scores']
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flagged = response['results'][0]['flagged']
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# Iterate the category scores using the threshold_iterator and compare the values to thresholds
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for category, threshold in zip(threshold_iterator, thresholds):
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if category_scores[category] > threshold:
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return True
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return False
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# This function will be called by the bot to process the message queue
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@staticmethod
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async def process_moderation_queue(
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moderation_queue, PROCESS_WAIT_TIME, EMPTY_WAIT_TIME, moderations_alert_channel
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):
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while True:
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try:
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# If the queue is empty, sleep for a short time before checking again
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if moderation_queue.empty():
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await asyncio.sleep(EMPTY_WAIT_TIME)
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continue
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# Get the next message from the queue
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to_moderate = await moderation_queue.get()
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# Check if the current timestamp is greater than the deletion timestamp
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if datetime.now().timestamp() > to_moderate.timestamp:
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response = await model.send_moderations_request(to_moderate.message.content)
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moderation_result = Moderation.determine_moderation_result(response)
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if moderation_result:
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# Take care of the flagged message
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response_message = await to_moderate.message.reply(embed=Moderation.build_moderation_embed())
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# Do the same response as above but use an ephemeral message
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await to_moderate.message.delete()
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# Send to the moderation alert channel
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if moderations_alert_channel:
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await moderations_alert_channel.send(embed=Moderation.build_admin_moderated_message(to_moderate, response_message))
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else:
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await moderation_queue.put(to_moderate)
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# Sleep for a short time before processing the next message
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# This will prevent the bot from spamming messages too quickly
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await asyncio.sleep(PROCESS_WAIT_TIME)
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except:
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traceback.print_exc()
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pass
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