from bot.api import telegram_api
from bot.config import FEEDBACK_CHAT_ID
from nlp.toxicity import text2toxicity
from nlp.replying import get_toxic_reply
import logging
import math

from handlers.handle_private import handle_private
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)


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):
        toxic_score = text2toxicity(text)
        logger.info(f'\ntext: {text}\ntoxic: {math.floor(toxic_score*100)}%')
        if toxic_score > 0.71:
            toxic_reply = get_toxic_reply(toxic_score)
            await telegram_api(
                "setMessageReaction",
                chat_id=cid,
                is_big=True,
                message_id=msg.get("message_id"),
                reaction=f'[{{"type":"emoji", "emoji":"{toxic_reply}"}}]'
            )

    else:
        pass