from pydantic import ValidationError
from server.backend.schemas.pydantic import ExcelInfo, settings,Translit
from server.backend.api.nomenclature import processing
import re
import datetime
import re
import datetime
def report_date(df, date_format: str):
    row_text = " ".join(df.iloc[0].astype(str))
    match = re.search(r"по\s+(\d{2}\.\d{2}\.\d{4})", row_text)
    if not match:
        raise ValueError("There is no date in ozon_purchase_handler")
    dt = datetime.datetime.strptime(match.group(1), "%d.%m.%Y")
    return dt.strftime(date_format)
def process_sheet(df, real_arti:int, real_quantity:int, real_sum_1:int):
    df = df.iloc[2:].reset_index(drop=True)
    # выбор нужных столбцов ПО ПОЗИЦИИ
    df = df.iloc[:, [real_arti, real_quantity, real_sum_1]].copy().dropna()
    df = df[(df != 0).all(axis=1)]

    # сразу задаём нужные имена
    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'}) #groupping
    df = processing(df) #vlookup for ref_keys
    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 выкупленных товарах",
            errors
        )
    return validated_rows
def evaluating(dfs):
    validated_rows_1 = process_sheet(dfs["Отчёт о выкупленных товарах"], real_arti=3,real_quantity=10, real_sum_1=11)   # номера столбцов от озона
    date=report_date(dfs["Отчёт о выкупленных товарах"], date_format=settings.TIMEFORMAT)
    return validated_rows_1, date