welcomecenterbot/handlers/messages_routing.py

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import logging
import math
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from store import redis
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from bot.api import telegram_api
from bot.config import FEEDBACK_CHAT_ID
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from nlp.toxicity_detector import detector
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from handlers.handle_private import handle_private
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logger = logging.getLogger('handlers.messages_routing')
logging.basicConfig(level=logging.DEBUG)
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latest_toxic = 0
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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"))
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elif bool(text):
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mid = msg.get("message_id")
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if text == '/score':
await telegram_api(
"sendMessage",
chat_id=cid,
reply_to=mid,
text=f"{latest_toxic}%"
)
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toxic_score = detector(text)
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logger.info(f'\ntext: {text}\ntoxic: {math.floor(toxic_score*100)}%')
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if toxic_score > 0.81:
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if toxic_score > 0.90:
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await redis.set(f"removed:{uid}:{cid}:{mid}", text)
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await telegram_api(
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"deleteMessage",
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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":"🙉"}}]'
)
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else:
pass