toxic-debug3

handlers/handle_private.py

@@ -26,6 +26,11 @@ async def handle_private(msg, state):
         elif text.startswith('/message'):
             await edit_announce(msg)
             return
+        elif text.startswith('/toxic'):
+            toxic_score = get_average_toxic(msg)
+            text = f"Средняя токсичность сообщений: {toxic_score}%"
+            await telegram_api("sendMessage", chat_id=uid, reply_to_message_id=msg.get("message_id"), text=text)
+            return
         elif text == '/removed':
             removed_messages = await get_all_removed(uid)
             if removed_messages:

handlers/messages_routing.py

@@ -1,6 +1,6 @@
 import logging
 import math
-from store import redis
+from store import redis, get_average_toxic
 from bot.api import telegram_api
 from bot.config import FEEDBACK_CHAT_ID
 from nlp.toxicity_detector import detector
@@ -33,15 +33,7 @@ async def messages_routing(msg, state):
         mid = msg.get("message_id")
         if text == '/toxic@welcomecenter_bot':
             latest_toxic_message_id = await redis.get(f"toxic:{cid}")
-            pattern = f"toxic:{cid}:{uid}:*"
+            toxic_score = get_average_toxic(msg)
-            scores = []
-            scoring_msg_id = 0
-            async for key in redis.scan_iter(pattern):
-                scr = await redis.get(key)
-                if isinstance(scr, int):
-                    scores.append(scr)
-            logger.debug(f'found {len(scores)} messages')
-            toxic_score = math.floor(sum(scores)/len(scores)) if scores else 0
             if reply_msg:
                 scoring_msg_id = reply_msg.get("message_id")
                 if not scoring_msg_id and latest_toxic_message_id:

store.py

@@ -19,3 +19,18 @@ async def get_all_removed(uid):
             texts.append(value.encode('utf-8'))
 
     return texts
+
+
+async def get_average_toxic(msg):
+    uid = msg['from']['id']
+    cid = msg['chat']['id']
+    pattern = f"toxic:{cid}:{uid}:*"
+    scores = []
+    scoring_msg_id = 0
+    async for key in redis.scan_iter(pattern):
+        scr = await redis.get(key)
+        if isinstance(scr, int):
+            scores.append(scr)
+    logger.debug(f'found {len(scores)} messages')
+    toxic_score = math.floor(sum(scores)/len(scores)) if scores else 0
+    return toxic_score