From 21591df4276fa6fc145118d19b05fee603bc8fd7 Mon Sep 17 00:00:00 2001
From: Untone <anton.rewin@gmail.com>
Date: Fri, 27 Sep 2024 13:30:29 +0300
Subject: [PATCH] linter+fmt

---
 bot/announce.py                 |  1 -
 handlers/handle_join_request.py |  1 -
 handlers/messages_routing.py    | 15 ++++++++-------
 nlp/normalize.py                |  9 ++++++---
 state/redis.py                  |  1 -
 state/scan.py                   |  1 -
 utils/graph.py                  |  1 -
 7 files changed, 14 insertions(+), 15 deletions(-)

diff --git a/bot/announce.py b/bot/announce.py
index b85ca79..8a93035 100644
--- a/bot/announce.py
+++ b/bot/announce.py
@@ -7,7 +7,6 @@ import logging
 logger = logging.getLogger(__name__)
 
 
-
 def get_newcomer_message(msg):
     lang = msg["from"].get("language_code", "ru")
     r = "хочет присоединиться к нам здесь" if lang == "ru" else " wants to join us here"
diff --git a/handlers/handle_join_request.py b/handlers/handle_join_request.py
index 45add5b..5fbd3ce 100644
--- a/handlers/handle_join_request.py
+++ b/handlers/handle_join_request.py
@@ -8,7 +8,6 @@ from utils.mention import mention
 logger = logging.getLogger(__name__)
 
 
-
 positive_reactions = [
     "👍",
     "❤",
diff --git a/handlers/messages_routing.py b/handlers/messages_routing.py
index ce8a916..cd0b71d 100644
--- a/handlers/messages_routing.py
+++ b/handlers/messages_routing.py
@@ -11,7 +11,6 @@ from nlp.toxicity_detector import detector
 logger = logging.getLogger("handlers.messages_routing")
 
 
-
 async def messages_routing(msg, state):
     cid = msg["chat"]["id"]
     uid = msg["from"]["id"]
@@ -53,13 +52,13 @@ async def messages_routing(msg, state):
                 # count average between all of messages
                 toxic_pattern = f"toxic:{cid}:{uid}:*"
                 toxic_score = await get_average_pattern(toxic_pattern)
-            except:
+            except Exception:
                 pass
 
             # current mesasage toxicity
             if reply_to_msg_id:
                 one_score = await redis.get(f"toxic:{cid}:{uid}:{reply_to_msg_id}")
-                reply_text = ''
+                reply_text = ""
                 if one_score:
                     logger.debug(one_score)
                     reply_text += f"{int(one_score)}% токсичности\n"
@@ -75,7 +74,9 @@ async def messages_routing(msg, state):
                         if toxic_score > 20
                         else "😇"
                     )
-                    reply_text += "Средняя токсичность сообщений: {toxic_score}% {emoji}"
+                    reply_text += (
+                        f"Средняя токсичность сообщений: {toxic_score}% {emoji}"
+                    )
                 if reply_text:
                     await telegram_api(
                         "sendMessage",
@@ -85,12 +86,12 @@ async def messages_routing(msg, state):
                     )
             try:
                 await telegram_api("deleteMessage", chat_id=cid, message_id=mid)
-            except:
+            except Exception:
                 pass
         elif text == "/removed@welcomecenter_bot":
             try:
                 await telegram_api("deleteMessage", chat_id=cid, message_id=mid)
-            except:
+            except Exception:
                 pass
         else:
             toxic_score = detector(text)
@@ -103,7 +104,7 @@ async def messages_routing(msg, state):
                     await redis.set(f"removed:{uid}:{cid}:{mid}", text)
                     try:
                         await telegram_api("deleteMessage", chat_id=cid, message_id=mid)
-                    except:
+                    except Exception:
                         pass
                 else:
                     await telegram_api(
diff --git a/nlp/normalize.py b/nlp/normalize.py
index 9e06230..11ab692 100644
--- a/nlp/normalize.py
+++ b/nlp/normalize.py
@@ -1,5 +1,8 @@
 import torch
 from transformers import ByT5Tokenizer, T5ForConditionalGeneration
+import logging
+
+logger = logging.getLogger("nlp.normalize")
 
 # Use ByT5 for the ByT5 model
 tokenizer = ByT5Tokenizer.from_pretrained("google/byt5-small")
@@ -48,8 +51,8 @@ def normalize(text):
 
     if is_russian_wording(t):
         # Normalize the text by replacing characters
-        normalized_text = (t
-            .replace("e", "е")
+        normalized_text = (
+            t.replace("e", "е")
             .replace("o", "о")
             .replace("x", "х")
             .replace("a", "а")
@@ -73,7 +76,7 @@ def normalize(text):
         )
 
         return normalized_text
-    logger.debug('normalized: ', t)
+    logger.debug("normalized: ", t)
     return t
 
 
diff --git a/state/redis.py b/state/redis.py
index 364fc2d..2f1f04e 100644
--- a/state/redis.py
+++ b/state/redis.py
@@ -6,7 +6,6 @@ import logging
 logger = logging.getLogger("state.redis")
 
 
-
 class RedisService:
     def __init__(self, uri=REDIS_URL):
         self._uri: str = uri
diff --git a/state/scan.py b/state/scan.py
index a2eae9a..3271a2c 100644
--- a/state/scan.py
+++ b/state/scan.py
@@ -6,7 +6,6 @@ import math
 logger = logging.getLogger("state.scan")
 
 
-
 async def get_all_pattern(uid):
     pattern = f"removed:{uid}:*"
 
diff --git a/utils/graph.py b/utils/graph.py
index 81e5e04..788e40e 100644
--- a/utils/graph.py
+++ b/utils/graph.py
@@ -3,7 +3,6 @@ import logging
 logger = logging.getLogger(__name__)
 
 
-
 # Define SVG code generation function with member_id parameter
 def generate_chart(members, member_id=None):
     if not member_id: