dates

server/backend/handlers/wb_purchases_handler.py

@@ -4,14 +4,19 @@ from server.backend.api.nomenclature import processing
 import re
 
 def process_sheet(df, real_arti:str, real_quantity:str, real_sum_1:str):
+    #Выборка
     df = df[[real_arti, real_quantity, real_sum_1]].copy().dropna() #copy and drop all NA values
     df = df[(df != 0).all(axis=1)] #drop all 0 values
-    df = df[[real_arti, real_quantity, real_sum_1]].copy()
+    df = df[[real_arti, real_quantity, real_sum_1]]
     df.rename(columns={real_arti: 'arti', real_quantity: 'counts', real_sum_1: 'price'}, inplace=True) #переименовываем для pydantic
+
+    #Нормализация
     df['arti'] = df['arti'].astype(str).str.upper().str.extract(f'({settings.PATTERN})') #arti под regex
     df['arti'] = df['arti'].replace(Translit.TRANSLIT, regex=True)
     df['price'] = df['price'].str.replace(' ', '', regex=False).str.replace(',', '.', regex=False).astype(float) #переделка к норм виду и преобразование в float
     df['counts'] = df['counts'].astype(int) #Float to Int, if exists
+
+    #Группировка
     df = df.groupby('arti', as_index=False).agg({'counts': 'sum', 'price': 'sum'}) #groupping
     df = processing(df) #vlookup for ref_keys
     validated_rows, errors = [], []