server/backend/handlers/wb_purchases_handler.py

@@ -14,9 +14,7 @@ def process_sheet(df, real_arti:str, real_quantity:str, real_sum_1:str):
     df = df.iloc[2:].reset_index(drop=True)
     #Выборка
     df = df.iloc[:, [real_arti, real_quantity, real_sum_1]].copy().dropna()
-    #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]]
     df.rename(columns={"Unnamed: 1": 'arti', "Unnamed: 3": 'counts', "Unnamed: 4": 'price'}, inplace=True) #переименовываем для pydantic
     #Нормализация
     df['arti'] = df['arti'].astype(str).str.upper().str.extract(f'({settings.PATTERN})') #arti под regex
@@ -26,7 +24,7 @@ def process_sheet(df, real_arti:str, real_quantity:str, real_sum_1:str):
 
     #Группировка
     df = df.groupby('arti', as_index=False).agg({'counts': 'sum', 'price': 'sum'}) #groupping
-    #df = processing(df) #vlookup for ref_keys
+    df = processing(df) #vlookup for ref_keys
     validated_rows, errors = [], []
     for i, row in df.iterrows(): #проходит построчно по df, где i - индекс строки, row - данные строки
         try:

server/backend/schemas/pydantic.py

@@ -4,7 +4,7 @@ class ExcelInfo(BaseModel):
     arti:str = Field(..., min_length=5, max_length=12, description="arti of the clothes")
     counts:int = Field(..., gt=0, description="the quantity of the clothes")
     price:float = Field(..., gt=0, description="the price of the clothes")
-    #ref_key:str = Field(..., description="reffering key from db")
+    ref_key:str = Field(..., description="reffering key from db")
 class ExcelRealization(BaseModel):
     pass
 class ExcelReturning(BaseModel):