welcomecenterbot/handlers/messages_routing.py

import logging
import math
from store import redis
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")
        await handle_private(msg, state)

    elif str(cid) == FEEDBACK_CHAT_ID:
        # сообщения из группы обратной связи
        logger.info("feedback chat message")
        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':
            text = ''
            toxic_score = 0
            if not reply_msg:
                logger.debug(f'scoring average for {uid}')
                scoring_msg_id = mid
                pattern = f"toxic:{cid}:{uid}:*"
                scores = []
                async for key in redis.scan_iter(pattern):
                    scr = int(await redis.get(key))
                    scores.append(scr)
                toxic_score = math.floor(sum(scores)/len(scores)) if scores else 0
                text = f"Доброе утро! Средняя токсичность твоих сообщений: {toxic_score}%"
            else:
                latest_toxic_message_id = await redis.get(f"toxic:{cid}")
                scoring_msg_id = reply_msg.get("message_id") or int(latest_toxic_message_id)
                toxic_score = await redis.get(f"toxic:{cid}:{uid}:{scoring_msg_id}")
                x = int(toxic_score) if toxic_score else 0
                text = f"{x}% токсичности"
                await telegram_api(
                    "deleteMessage",
                    chat_id=cid,
                    message_id=mid
                )
            if text:
                await telegram_api(
                    "sendMessage",
                    chat_id=cid,
                    reply_to_message_id=scoring_msg_id,
                    text=text
                )
        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