from pydantic import ValidationError from server.backend.schemas.pydantic import ExcelInfo,settings,Translit from server.backend.api.nomenclature import processing import datetime import re def last_day_of_month(format: str): today = datetime.datetime.now() first_day_current_month = today.replace(day=1) last_day_prev_month = first_day_current_month - datetime.timedelta(days=1) return last_day_prev_month.strftime(format) def process_sheet(df,real_arti: int,real_quantity: int,real_sum_1: int,real_sum_2: int): # выбираем нужные колонки по индексам df = df.iloc[:, [real_arti, real_quantity, real_sum_1, real_sum_2]].copy() # print("до группировки:", df.iloc[:, 2].sum()) df.dropna(inplace=True) df = df[(df.iloc[:, [1]] != 0).all(axis=1)] # складываем суммы df.iloc[:, 2] += df.iloc[:, 3] df = df.iloc[:, [0, 1, 2]] df.columns = ['arti', 'counts', 'price'] # нормализация df['arti'] = df['arti'].replace(Translit.TRANSLIT, regex=True) df['arti'] = df['arti'].astype(str).str.upper().str.extract(f'({settings.PATTERN})') df['price'] = df['price'].astype(float) df['counts'] = df['counts'].astype(int) # группировка df = df.groupby('arti', as_index=False).agg({'counts': 'sum', 'price': 'sum'}) df = processing(df) validated_rows, errors = [], [] for i, row in df.iterrows(): try: validated_rows.append(ExcelInfo(**row.to_dict())) except ValidationError as e: errors.append((i, e.errors())) if errors: raise Exception("There are some errors with validation in Отчет о реализации", errors) return validated_rows 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=14,real_sum_2=15)# sum_1 = sum(row.price for row in validated_rows_1) sum_2 = sum(row.price for row in validated_rows_2) print("Sum for 'Продажа':", sum_1) print("Sum for 'Возврат':", sum_2) date=last_day_of_month(format=settings.TIMEFORMAT) return validated_rows_1, validated_rows_2, date