refactoring 1.1

server/backend/handlers/ozon_handler.py

@@ -1,19 +1,14 @@
 from pydantic import ValidationError
-from server.backend.schemas.pydantic import ExcelInfo
+from server.backend.schemas.pydantic import ExcelInfo,settings
 import re
 
-from dotenv import load_dotenv                              #Работа с env
-import os
-load_dotenv()
-PATTERN = os.getenv("PATTERN")
-
 def process_sheet(df, real_arti:str, real_quantity:str, real_sum_1:str, real_sum_2:str):
     df = df[[real_arti, real_quantity, real_sum_1, real_sum_2]].copy().dropna() #copy and drop all NA values
     df = df[(df != 0).all(axis=1)] #drop all 0 values
     df[real_sum_1]+=df[real_sum_2]
     df = df[[real_arti, real_quantity, real_sum_1]].copy()
     df.rename(columns={real_arti: 'arti', real_quantity: 'counts', real_sum_1: 'price'}, inplace=True) #переименовываем для pydantic
-    df['arti'] = df['arti'].astype(str).str.extract(f'({PATTERN})', flags=re.IGNORECASE) #arti под regex
+    df['arti'] = df['arti'].astype(str).str.extract(f'({settings.PATTERN})', flags=re.IGNORECASE) #arti под regex
     
     df['price'] = df['price'].astype(float) #Float to Int, if exists  
     df['counts'] = df['counts'].astype(int) #Float to Int, if exists
@@ -30,4 +25,6 @@ def process_sheet(df, real_arti:str, real_quantity:str, real_sum_1:str, real_sum
 def evaluating(dfs):
     validated_rows_1 = process_sheet(dfs["Отчет о реализации"], real_arti='2',real_quantity='8', real_sum_1='5',real_sum_2='6')   # номера столбцов от озона
     validated_rows_2 = process_sheet(dfs["Отчет о реализации"], real_arti='2',real_quantity='16', real_sum_1='13',real_sum_2='14')#
-    return validated_rows_1, validated_rows_2
+    return validated_rows_1, validated_rows_2
+
+#Добавить проверку с бд по keys