refactoring 1.1

This commit is contained in:
2025-12-21 18:18:26 +03:00
parent 46b4e95d45
commit 6b92cf8782
11 changed files with 62 additions and 50 deletions

View File

@@ -1,18 +1,13 @@
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):
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.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'].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