fmt

resolvers/reaction.py

@@ -577,7 +577,9 @@ async def load_shout_comments(_, info, shout: int, limit=50, offset=0):
             func.count(aliased_reaction.id).label("reacted_stat"),
             func.count(aliased_reaction.body).label("commented_stat"),
             func.sum(case((aliased_reaction.kind == str(ReactionKind.LIKE.value), 1), else_=0)).label("likes_stat"),
-            func.sum(case((aliased_reaction.kind == str(ReactionKind.DISLIKE.value), 1), else_=0)).label("dislikes_stat"),
+            func.sum(case((aliased_reaction.kind == str(ReactionKind.DISLIKE.value), 1), else_=0)).label(
+                "dislikes_stat"
+            ),
         )
         .select_from(Reaction)
         .join(Author, Reaction.created_by == Author.id)
@@ -606,9 +608,9 @@ async def load_shout_comments(_, info, shout: int, limit=50, offset=0):
 
     return list(reactions)
 
+
 @query.field("load_comment_ratings")
 async def load_comment_ratings(_, info, comment: int, limit=50, offset=0):
-
     """
     getting paginated comments with stats
     :param info: graphql meta
@@ -626,7 +628,9 @@ async def load_comment_ratings(_, info, comment: int, limit=50, offset=0):
             func.count(aliased_reaction.id).label("reacted_stat"),
             func.count(aliased_reaction.body).label("commented_stat"),
             func.sum(case((aliased_reaction.kind == str(ReactionKind.LIKE.value), 1), else_=0)).label("likes_stat"),
-            func.sum(case((aliased_reaction.kind == str(ReactionKind.DISLIKE.value), 1), else_=0)).label("dislikes_stat"),
+            func.sum(case((aliased_reaction.kind == str(ReactionKind.DISLIKE.value), 1), else_=0)).label(
+                "dislikes_stat"
+            ),
         )
         .select_from(Reaction)
         .join(Author, Reaction.created_by == Author.id)

services/db.py

@@ -17,7 +17,8 @@ from settings import DB_URL
 
 
 # Подключение к базе данных SQLAlchemy
-engine = create_engine(DB_URL,
+engine = create_engine(
+    DB_URL,
     echo=False,
     pool_size=10,
     max_overflow=20,

services/sentry.py

@@ -18,11 +18,7 @@ def start_sentry():
             # We recommend adjusting this value in production.
             profiles_sample_rate=1.0,
             enable_tracing=True,
-            integrations=[
-                StarletteIntegration(),
-                AriadneIntegration(),
-                SqlalchemyIntegration()
-            ],
+            integrations=[StarletteIntegration(), AriadneIntegration(), SqlalchemyIntegration()],
         )
     except Exception as e:
         print("[services.sentry] init error")