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) latest_toxic = {} 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 reply_msg and text == '/score@welcomecenter_bot': rmsg = reply_msg.get("message_id") await telegram_api( "sendMessage", chat_id=cid, reply_to_message_id=rmsg, text=f"{latest_toxic.get(f"{cid}:{rmsg}", 0)}% токсичности" ) await telegram_api( "deleteMessage", chat_id=cid, message_id=mid ) else: toxic_score = detector(text) toxic_perc = math.floor(toxic_score*100) latest_toxic[cid] = toxic_perc latest_toxic[f"{cid}:{mid}"] = toxic_perc 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