GPT3Discord/models/moderations_service_model.py

import asyncio
import os
import traceback
from datetime import datetime
from pathlib import Path

import discord

from models.openai_model import Model
from models.usage_service_model import UsageService

usage_service = UsageService(Path(os.environ.get("DATA_DIR", os.getcwd())))
model = Model(usage_service)

class Moderation:

    def __init__(self, message, timestamp):
        self.message = message
        self.timestamp = timestamp

    @staticmethod
    def build_moderation_embed():
        # Create a discord embed to send to the user when their message gets moderated
        embed = discord.Embed(
            title="Your message was moderated",
            description="Our automatic moderation systems detected that your message was inappropriate and has been deleted. Please review the rules.",
            colour=discord.Colour.red(),
        )
        # Set the embed thumbnail
        embed.set_thumbnail(
            url="https://i.imgur.com/2oL8JSp.png"
        )
        embed.set_footer(text="If you think this was a mistake, please contact the server admins.")
        return embed

    @staticmethod
    def build_admin_moderated_message(moderated_message, response_message):

        # Create a discord embed to send to the user when their message gets moderated
        embed = discord.Embed(
            title="A message was moderated in the "+moderated_message.message.guild.name+" server",
            description=f"Message from {moderated_message.message.author.mention} was moderated: {moderated_message.message.content}",
            colour=discord.Colour.yellow(),
        )
        # Get the link to the moderated message
        link = f"https://discord.com/channels/{response_message.guild.id}/{response_message.channel.id}/{response_message.id}"
        # set the link of the embed
        embed.add_field(name="Moderated message link", value=link, inline=False)
        return embed


    @staticmethod
    def determine_moderation_result(response):
        HATE_THRESHOLD = 0.005
        HATE_VIOLENCE_THRESHOLD = 0.05
        SELF_HARM_THRESHOLD = 0.05
        SEXUAL_THRESHOLD = 0.75
        SEXUAL_MINORS_THRESHOLD = 0.1
        VIOLENCE_THRESHOLD = 0.01
        VIOLENCE_GRAPHIC_THRESHOLD = 0.1

        thresholds = [HATE_THRESHOLD, HATE_VIOLENCE_THRESHOLD, SELF_HARM_THRESHOLD, SEXUAL_THRESHOLD, SEXUAL_MINORS_THRESHOLD, VIOLENCE_THRESHOLD, VIOLENCE_GRAPHIC_THRESHOLD]
        threshold_iterator = ['hate','hate/threatening','self-harm','sexual','sexual/minors','violence','violence/graphic']

        category_scores = response['results'][0]['category_scores']

        flagged = response['results'][0]['flagged']

        # Iterate the category scores using the threshold_iterator and compare the values to thresholds
        for category, threshold in zip(threshold_iterator, thresholds):
            if category_scores[category] > threshold:
                return True

        return False

    # This function will be called by the bot to process the message queue
    @staticmethod
    async def process_moderation_queue(
        moderation_queue, PROCESS_WAIT_TIME, EMPTY_WAIT_TIME, moderations_alert_channel
    ):
        while True:
            try:
                # If the queue is empty, sleep for a short time before checking again
                if moderation_queue.empty():
                    await asyncio.sleep(EMPTY_WAIT_TIME)
                    continue

                # Get the next message from the queue
                to_moderate = await moderation_queue.get()

                # Check if the current timestamp is greater than the deletion timestamp
                if datetime.now().timestamp() > to_moderate.timestamp:
                    response = await model.send_moderations_request(to_moderate.message.content)
                    moderation_result = Moderation.determine_moderation_result(response)

                    if moderation_result:
                        # Take care of the flagged message
                        response_message = await to_moderate.message.reply(embed=Moderation.build_moderation_embed())
                        # Do the same response as above but use an ephemeral message
                        await to_moderate.message.delete()

                        # Send to the moderation alert channel
                        if moderations_alert_channel:
                            await moderations_alert_channel.send(embed=Moderation.build_admin_moderated_message(to_moderate, response_message))

                else:
                    await moderation_queue.put(to_moderate)
                # Sleep for a short time before processing the next message
                # This will prevent the bot from spamming messages too quickly
                await asyncio.sleep(PROCESS_WAIT_TIME)
            except:
                traceback.print_exc()
                pass