chore(lint): apply ruff --fix (4443 auto-fixes)

Auto-fixed categories:
- F401: unused imports removed
- I001: import blocks sorted
- W293: trailing whitespace stripped
- UP035: deprecated typing imports replaced
- SIM: simplify suggestions applied
- ARG: unused args prefixed with underscore
- T201: print statements removed
- F841: unused variables removed
- RUF059: unpacked variables prefixed

Remaining ~1500 unfixable errors (C901, B904, N806, E402) require manual work.

Backend smoke tests: 13/13 passed.

backend/src/core/utils/dataset_mapper.py

@@ -6,10 +6,15 @@
 # @RELATION DEPENDS_ON -> pandas
 # @RELATION DEPENDS_ON -> psycopg2
 # @PUBLIC_API: DatasetMapper
+from typing import Any
+
 import pandas as pd  # type: ignore
 import psycopg2  # type: ignore
-from typing import Dict, Optional, Any
-from ..logger import logger as app_logger, belief_scope
+
+from ..logger import belief_scope
+from ..logger import logger as app_logger
+
+
 # #region DatasetMapper [TYPE Class]
 # @BRIEF Класс для меппинга и обновления verbose_map в датасетах Superset.
 class DatasetMapper:
@@ -29,7 +34,7 @@ class DatasetMapper:
     # @PARAM: table_name (str) - Имя таблицы.
     # @PARAM: table_schema (str) - Схема таблицы.
     # @RETURN: Dict[str, str] - Словарь с комментариями к колонкам.
-    def get_postgres_comments(self, db_config: Dict, table_name: str, table_schema: str) -> Dict[str, str]:
+    def get_postgres_comments(self, db_config: dict, table_name: str, table_schema: str) -> dict[str, str]:
         with belief_scope("Fetch comments from PostgreSQL"):
             app_logger.info("[get_postgres_comments][Enter] Fetching comments from PostgreSQL for %s.%s.", table_schema, table_name)
             query = f"""
@@ -90,7 +95,7 @@ class DatasetMapper:
     # @THROW: Exception - При ошибках чтения файла или парсинга.
     # @PARAM: file_path (str) - Путь к XLSX файлу.
     # @RETURN: Dict[str, str] - Словарь с меппингами.
-    def load_excel_mappings(self, file_path: str) -> Dict[str, str]:
+    def load_excel_mappings(self, file_path: str) -> dict[str, str]:
         with belief_scope("Load mappings from Excel"):
             app_logger.info("[load_excel_mappings][Enter] Loading mappings from %s.", file_path)
             try:
@@ -118,11 +123,11 @@ class DatasetMapper:
     # @PARAM: excel_path (Optional[str]) - Путь к XLSX файлу.
     # @PARAM: table_name (Optional[str]) - Имя таблицы в PostgreSQL.
     # @PARAM: table_schema (Optional[str]) - Схема таблицы в PostgreSQL.
-    def run_mapping(self, superset_client: Any, dataset_id: int, source: str, postgres_config: Optional[Dict] = None, excel_path: Optional[str] = None, table_name: Optional[str] = None, table_schema: Optional[str] = None):
+    def run_mapping(self, superset_client: Any, dataset_id: int, source: str, postgres_config: dict | None = None, excel_path: str | None = None, table_name: str | None = None, table_schema: str | None = None):
         with belief_scope(f"Run dataset mapping for ID {dataset_id}"):
             app_logger.info("[run_mapping][Enter] Starting dataset mapping for ID %d from source '%s'.", dataset_id, source)
-            mappings: Dict[str, str] = {}
-            
+            mappings: dict[str, str] = {}
+
             try:
                 if source in ['postgres', 'both']:
                     assert postgres_config and table_name and table_schema, "Postgres config is required."
@@ -135,13 +140,13 @@ class DatasetMapper:
                     return
                 dataset_response = superset_client.get_dataset(dataset_id)
                 dataset_data = dataset_response['result']
-                
+
                 original_columns = dataset_data.get('columns', [])
                 updated_columns = []
                 changes_made = False
                 for column in original_columns:
                     col_name = column.get('column_name')
-                    
+
                     new_column = {
                         "column_name": col_name,
                         "id": column.get("id"),
@@ -158,14 +163,14 @@ class DatasetMapper:
                         "uuid": column.get("uuid"),
                         "verbose_name": column.get("verbose_name"),
                     }
-                    
+
                     new_column = {k: v for k, v in new_column.items() if v is not None}
                     if col_name in mappings:
                         mapping_value = mappings[col_name]
                         if isinstance(mapping_value, str) and new_column.get('verbose_name') != mapping_value:
                             new_column['verbose_name'] = mapping_value
                             changes_made = True
-                    
+
                     updated_columns.append(new_column)
                 updated_metrics = []
                 for metric in dataset_data.get("metrics", []):
@@ -207,7 +212,7 @@ class DatasetMapper:
                         "offset": dataset_data.get("offset"),
                         "template_params": dataset_data.get("template_params"),
                     }
-                    
+
                     payload_for_update = {k: v for k, v in payload_for_update.items() if v is not None}
                     superset_client.update_dataset(dataset_id, payload_for_update)
                     app_logger.info("[run_mapping][Success] Dataset %d columns' verbose_name updated.", dataset_id)
@@ -218,4 +223,4 @@ class DatasetMapper:
                 return
     # #endregion run_mapping
 # #endregion DatasetMapper
-# #endregion DatasetMapperModule
+# #endregion DatasetMapperModule