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Python ndb.model_form方法代碼示例

本文整理匯總了Python中wtforms.ext.appengine.ndb.model_form方法的典型用法代碼示例。如果您正苦於以下問題:Python ndb.model_form方法的具體用法?Python ndb.model_form怎麽用?Python ndb.model_form使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在wtforms.ext.appengine.ndb的用法示例。


在下文中一共展示了ndb.model_form方法的1個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: model_form

# 需要導入模塊: from wtforms.ext.appengine import ndb [as 別名]
# 或者: from wtforms.ext.appengine.ndb import model_form [as 別名]
def model_form(model, base_class=Form, only=None, exclude=None, field_args=None,
               converter=None):
    """
    Creates and returns a dynamic ``wtforms.Form`` class for a given
    ``ndb.Model`` class. The form class can be used as it is or serve as a base
    for extended form classes, which can then mix non-model related fields,
    subforms with other model forms, among other possibilities.

    :param model:
        The ``ndb.Model`` class to generate a form for.
    :param base_class:
        Base form class to extend from. Must be a ``wtforms.Form`` subclass.
    :param only:
        An optional iterable with the property names that should be included in
        the form. Only these properties will have fields.
    :param exclude:
        An optional iterable with the property names that should be excluded
        from the form. All other properties will have fields.
    :param field_args:
        An optional dictionary of field names mapping to keyword arguments
        used to construct each field object.
    :param converter:
        A converter to generate the fields based on the model properties. If
        not set, ``ModelConverter`` is used.
    """
    # Extract the fields from the model.
    field_dict = model_fields(model, only, exclude, field_args, converter)

    # Return a dynamically created form class, extending from base_class and
    # including the created fields as properties.
    return type(model._get_kind() + 'Form', (base_class,), field_dict) 
開發者ID:snverse,項目名稱:Sci-Finder,代碼行數:33,代碼來源:ndb.py


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