welcomecenterbot/handlers/messages_routing.py

import logging
import math
from store import redis, get_average_toxic
from bot.api import telegram_api
from bot.config import FEEDBACK_CHAT_ID
from nlp.toxicity_detector import detector
from handlers.handle_private import handle_private

logger = logging.getLogger('handlers.messages_routing')
logging.basicConfig(level=logging.DEBUG)

async def messages_routing(msg, state):
    cid = msg["chat"]["id"]
    uid = msg["from"]["id"]
    text = msg.get("text")
    reply_msg = msg.get("reply_to_message")

    if cid == uid:
        # сообщения в личке с ботом
        logger.info("private chat message: ", msg)
        await handle_private(msg, state)

    elif str(cid) == FEEDBACK_CHAT_ID:
        # сообщения из группы обратной связи
        logger.info("feedback chat message: ", msg)
        logger.debug(msg)
        if reply_msg:
            reply_chat_id = reply_msg.get("chat", {}).get("id")
            if reply_chat_id != FEEDBACK_CHAT_ID:
                await telegram_api("sendMessage", chat_id=reply_chat_id, text=text, reply_to_message_id=reply_msg.get("message_id"))

    elif bool(text):
        mid = msg.get("message_id")
        if text == '/toxic@welcomecenter_bot':
            latest_toxic_message_id = await redis.get(f"toxic:{cid}")
            toxic_score = await get_average_toxic(msg)
            if reply_msg:
                scoring_msg_id = reply_msg.get("message_id")
                if not scoring_msg_id and latest_toxic_message_id:
                    scoring_msg_id = int(latest_toxic_message_id)
            if scoring_msg_id:
                msg_toxic_key = f"toxic:{cid}:{uid}:{scoring_msg_id}"
                logger.debug('msg_toxic_key: ', msg_toxic_key)
                one_score = await redis.get(msg_toxic_key)
                msg_score = int(one_score[0])
                logger.debug('one_score: ', one_score)
                emoji = '😳' if toxic_score > 90 else '😟' if toxic_score > 80 else '😏' if toxic_score > 60 else '🙂' if toxic_score > 20 else '😇'
                text = f"{msg_score}% токсичности\nСредняя токсичность сообщений: {toxic_score}% {emoji}"
                if text:
                    await telegram_api(
                        "sendMessage",
                        chat_id=cid,
                        reply_to_message_id=scoring_msg_id,
                        text=text
                    )
            await telegram_api(
                "deleteMessage",
                chat_id=cid,
                message_id=mid
            )
        else:
            toxic_score = detector(text)
            toxic_perc = math.floor(toxic_score*100)
            await redis.set(f"toxic:{cid}", mid)
            await redis.set(f"toxic:{cid}:{uid}:{mid}", toxic_perc, ex=60*60*24*3)
            logger.info(f'\ntext: {text}\ntoxic: {toxic_perc}%')
            if toxic_score > 0.81:
                if toxic_score > 0.90:
                    await redis.set(f"removed:{uid}:{cid}:{mid}", text)
                    await telegram_api(
                        "deleteMessage",
                        chat_id=cid,
                        message_id=mid
                    )
                else:
                    await telegram_api(
                        "setMessageReaction",
                        chat_id=cid,
                        is_big=True,
                        message_id=mid,
                        reaction=f'[{{"type":"emoji", "emoji":"🙉"}}]'
                    )

    else:
        pass