48 lines
2.0 KiB
Python
48 lines
2.0 KiB
Python
from pydantic import ValidationError
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from server.backend.schemas.pydantic import ExcelInfo, settings,Translit
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from server.backend.api.nomenclature import processing
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import re
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import datetime
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import re
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import datetime
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def report_date(df, date_format: str):
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row_text = " ".join(df.iloc[0].astype(str))
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match = re.search(r"по\s+(\d{2}\.\d{2}\.\d{4})", row_text)
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if not match:
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raise ValueError("There is no date in ozon_purchase_handler")
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dt = datetime.datetime.strptime(match.group(1), "%d.%m.%Y")
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return dt.strftime(date_format)
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def process_sheet(df, real_arti:int, real_quantity:int, real_sum_1:int):
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df = df.iloc[2:].reset_index(drop=True)
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# выбор нужных столбцов ПО ПОЗИЦИИ
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df = df.iloc[:, [real_arti, real_quantity, real_sum_1]].copy().dropna()
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df = df[(df != 0).all(axis=1)]
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# сразу задаём нужные имена
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df.columns = ['arti', 'counts', 'price']
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# нормализация
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df['arti'] = df['arti'].replace(Translit.TRANSLIT, regex=True)
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df['arti'] = df['arti'].astype(str).str.upper().str.extract(f'({settings.PATTERN})')
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df['price'] = df['price'].astype(float)
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df['counts'] = df['counts'].astype(int)
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#Группировка
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df = processing(df) #vlookup for ref_keys
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validated_rows, errors = [], []
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for i, row in df.iterrows():
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try:
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validated_rows.append(ExcelInfo(**row.to_dict()))
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except ValidationError as e:
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errors.append((i, e.errors()))
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if errors:
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raise Exception(
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"There are some errors with validation in Отчет о выкупленных товарах",
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errors
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)
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return validated_rows
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def evaluating(dfs):
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validated_rows_1 = process_sheet(dfs["Отчет о выкупленных товарах"], real_arti=3,real_quantity=10, real_sum_1=11) # номера столбцов от озона
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date=report_date(dfs["Отчет о выкупленных товарах"], date_format=settings.TIMEFORMAT)
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return validated_rows_1, date |