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")

    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)
        reply_msg = msg.get("reply_to_message")
        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=reply_msg.get("message_id"))

    elif bool(text):
        mid = msg.get("message_id")
        non_toxic_score, toxic_score = detector(text)
        logger.info(f'\ntext: {text}\ntoxic: {math.floor(toxic_score*100)}%')
        if toxic_score > 0.71:
            if toxic_score > 0.85:
                await redis.execute("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