This commit is contained in:
2026-01-06 15:56:16 +03:00
parent dcf7878f03
commit 915103766b
6 changed files with 62 additions and 41 deletions

View File

@@ -2,14 +2,22 @@ from pydantic import ValidationError
from server.backend.schemas.pydantic import ExcelInfo, settings,Translit
from server.backend.api.nomenclature import processing
import re
import datetime
def report_date(df, format: str):
row_text = " ".join(df.iloc[0].astype(str))
match = re.search(r"\d{4}-\d{2}-\d{2}", row_text)
if not match:
return None
dt = datetime.datetime.strptime(match.group(0), "%Y-%m-%d")
return dt.strftime(format)
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[[real_arti, real_quantity, real_sum_1]].copy().dropna() #copy and drop all NA values
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={real_arti: 'arti', real_quantity: 'counts', real_sum_1: 'price'}, inplace=True) #переименовываем для pydantic
#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
df['arti'] = df['arti'].replace(Translit.TRANSLIT, regex=True)
@@ -18,7 +26,7 @@ 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:
@@ -29,6 +37,8 @@ def process_sheet(df, real_arti:str, real_quantity:str, real_sum_1:str):
raise Exception(f"There are some errors with validation in Sheet1, check it ", errors)
return validated_rows
def evaluating(dfs):
validated_rows_1 = process_sheet(dfs["Sheet1"], real_arti='Артикул',real_quantity="Количество", real_sum_1='''Сумма выкупа, руб.,
(вкл. НДС)''') # номера столбцов от озона
return validated_rows_1
# validated_rows_1 = process_sheet(dfs["Sheet1"], real_arti='Артикул',real_quantity="Количество", real_sum_1='''Сумма выкупа, руб.,
# (вкл. НДС)''') # номера столбцов от озона
validated_rows_1 = process_sheet(dfs["Sheet1"], real_arti=1,real_quantity=3, real_sum_1=4) # номера столбцов от озона
date=report_date(dfs["Sheet1"], format=settings.TIMEFORMAT)
return validated_rows_1, date