49 lines
2.2 KiB
Python
49 lines
2.2 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 datetime
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import re
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def report_date(df, format: str):
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cell = str(df.iloc[0, 4])
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match = re.search(r"\d{2}\.\d{2}\.\d{4}", cell)
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if not match:
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return None
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dt = datetime.datetime.strptime(match.group(0), "%d.%m.%Y")
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return dt.strftime(format)
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def process_sheet(df,real_arti: int,real_quantity: int,real_sum_1: int,real_sum_2: int):
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# пропускаем служебные строки
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df = df.iloc[2:].reset_index(drop=True)
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# выбираем нужные колонки по индексам
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df = df.iloc[:, [real_arti, real_quantity, real_sum_1, real_sum_2]].copy()
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df.dropna(inplace=True)
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df = df[(df != 0).all(axis=1)]
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# складываем суммы
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df.iloc[:, 2] += df.iloc[:, 3]
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df = df.iloc[:, [0, 1, 2]]
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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 = df.groupby('arti', as_index=False).agg({'counts': 'sum', 'price': 'sum'})
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df = processing(df)
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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("There are some errors with validation in Отчет о реализации", errors)
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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 реализации"], real_arti=2,real_quantity=8, real_sum_1=5,real_sum_2=6) # номера столбцов от озона
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validated_rows_2 = process_sheet(dfs["Отчет о реализации"], real_arti=2,real_quantity=16, real_sum_1=13,real_sum_2=14)#
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date=report_date(dfs["Отчет о реализации"], format=settings.TIMEFORMAT)
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return validated_rows_1, validated_rows_2, date |