Всем привет, помогите решить вопрос: есть метод crm.product.list котрый возвращает list
пытаюсь распарсить текушие значение в Exel таблицу, проблемы со стандартными полями нет
проблема с кастомными полями и значениями 'PROPERTY_***' где возвращается пара что то типа
{'valueId': '8801', 'value': '263'}
возможно ли как то добавить какой то фильтр чтобы сразу возращало только value?
пример ниже, первые 2 колонки станадртные, а 3-я кастомная и пример возврата
[img]data:image/png;base64,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[/img]
product = migBitrix_product_list.get_all(
'crm.product.list',
params={
#'filter': { },
#'select': ['*', 'PROPERTY_*']
'select': ['NAME',"PRICE","CURRENCY_ID",'DESCRIPTION','PROPERTY_415','PROPERTY_419','PROPERTY_421','PROPERTY_423','SORT']
})
пытаюсь распарсить текушие значение в Exel таблицу, проблемы со стандартными полями нет
проблема с кастомными полями и значениями 'PROPERTY_***' где возвращается пара что то типа
{'valueId': '8801', 'value': '263'}
возможно ли как то добавить какой то фильтр чтобы сразу возращало только value?
пример ниже, первые 2 колонки станадртные, а 3-я кастомная и пример возврата
[img]data:image/png;base64,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[/img]
product = migBitrix_product_list.get_all(
'crm.product.list',
params={
#'filter': { },
#'select': ['*', 'PROPERTY_*']
'select': ['NAME',"PRICE","CURRENCY_ID",'DESCRIPTION','PROPERTY_415','PROPERTY_419','PROPERTY_421','PROPERTY_423','SORT']
})