本文整理汇总了Python中mongoengine.python_support.txt_type函数的典型用法代码示例。如果您正苦于以下问题：Python txt_type函数的具体用法？Python txt_type怎么用？Python txt_type使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了txt_type函数的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __str__
def __str__(self):
if hasattr(self, '__unicode__'):
if PY3:
return self.__unicode__()
else:
return unicode(self).encode('utf-8')
return txt_type('%s object' % self.__class__.__name__)示例2: __str__
def __str__(self):
return txt_type(self.message)示例3: _attach_objects
def _attach_objects(self, items, depth=0, instance=None, name=None):
"""
Recursively finds all db references to be dereferenced
:param items: The iterable (dict, list, queryset)
:param depth: The current depth of recursion
:param instance: The owning instance used for tracking changes by
:class:`~mongoengine.base.ComplexBaseField`
:param name: The name of the field, used for tracking changes by
:class:`~mongoengine.base.ComplexBaseField`
"""
if not items:
if isinstance(items, (BaseDict, BaseList)):
return items
if instance:
if isinstance(items, dict):
return BaseDict(items, instance, name)
else:
return BaseList(items, instance, name)
if isinstance(items, (dict, SON)):
if '_ref' in items:
return self.object_map.get(
(items['_ref'].collection, items['_ref'].id), items)
elif '_cls' in items:
doc = get_document(items['_cls'])._from_son(items)
_cls = doc._data.pop('_cls', None)
del items['_cls']
doc._data = self._attach_objects(doc._data, depth, doc, None)
if _cls is not None:
doc._data['_cls'] = _cls
return doc
if not hasattr(items, 'items'):
is_list = True
list_type = BaseList
if isinstance(items, EmbeddedDocumentList):
list_type = EmbeddedDocumentList
as_tuple = isinstance(items, tuple)
iterator = enumerate(items)
data = []
else:
is_list = False
iterator = items.iteritems()
data = {}
depth += 1
for k, v in iterator:
if is_list:
data.append(v)
else:
data[k] = v
if k in self.object_map and not is_list:
data[k] = self.object_map[k]
elif isinstance(v, (Document, EmbeddedDocument)):
for field_name, field in v._fields.iteritems():
v = data[k]._data.get(field_name, None)
if isinstance(v, DBRef):
data[k]._data[field_name] = self.object_map.get(
(v.collection, v.id), v)
elif isinstance(v, (dict, SON)) and '_ref' in v:
data[k]._data[field_name] = self.object_map.get(
(v['_ref'].collection, v['_ref'].id), v)
elif isinstance(v, (dict, list, tuple)) and depth <= self.max_depth:
item_name = txt_type("{0}.{1}.{2}").format(name, k, field_name)
data[k]._data[field_name] = self._attach_objects(v, depth, instance=instance, name=item_name)
elif isinstance(v, (dict, list, tuple)) and depth <= self.max_depth:
item_name = '%s.%s' % (name, k) if name else name
data[k] = self._attach_objects(v, depth - 1, instance=instance, name=item_name)
elif hasattr(v, 'id'):
data[k] = self.object_map.get((v.collection, v.id), v)
if instance and name:
if is_list:
return tuple(data) if as_tuple else list_type(data, instance, name)
return BaseDict(data, instance, name)
depth += 1
return data