Python ndb.BlobProperty方法代碼示例

# 需要導入模塊: from google.appengine.ext import ndb [as 別名]
# 或者: from google.appengine.ext.ndb import BlobProperty [as 別名]
def _db_set_value(self, v, p, value):
    # From BlobProperty.
    p.set_meaning(ndb.google_imports.entity_pb.Property.BYTESTRING)
    v.set_stringvalue(value) 

# 需要導入模塊: from google.appengine.ext import ndb [as 別名]
# 或者: from google.appengine.ext.ndb import BlobProperty [as 別名]
def test_simple_properties(self):
    """Simple properties are unmodified in to_serializable_dict()."""
    class Entity(ndb.Model, serializable.SerializableModelMixin):
      blob_prop = ndb.BlobProperty()
      bool_prop = ndb.BooleanProperty()
      float_prop = ndb.FloatProperty()
      int_prop = ndb.IntegerProperty()
      json_prop = ndb.JsonProperty()
      pickle_prop = ndb.PickleProperty()
      str_prop = ndb.StringProperty()
      text_prop = ndb.TextProperty()

    # Test data in simple dict form.
    as_serializable_dict = {
      'blob_prop': 'blob',
      'bool_prop': True,
      'float_prop': 3.14,
      'int_prop': 42,
      'json_prop': ['a list', 'why', 'not?'],
      'pickle_prop': {'some': 'dict'},
      'str_prop': 'blah-blah',
      'text_prop': 'longer blah-blah',
    }

    # Same data but in entity form. Constructing entity directly from
    # |as_serializable_dict| works only if it contains only simple properties
    # (that look the same in serializable dict and entity form).
    as_entity = Entity(**as_serializable_dict)

    # Ensure all simple properties (from _SIMPLE_PROPERTIES) are covered.
    self.assertEqual(
        set(serializable._SIMPLE_PROPERTIES),
        set(prop.__class__ for prop in Entity._properties.values()))

    # Check entity -> serializable dict conversion.
    self.assertEqual(
        as_serializable_dict,
        as_entity.to_serializable_dict())

    # Check serializable dict -> Entity conversion.
    self.assertEqual(
        as_entity,
        Entity.from_serializable_dict(as_serializable_dict)) 

# 需要導入模塊: from google.appengine.ext import ndb [as 別名]
# 或者: from google.appengine.ext.ndb import BlobProperty [as 別名]
def get_historical_copy_class(cls):
    """Returns entity class for historical copies of original entity.

    Has all the same properties, but unindexed (not needed), unvalidated
    (original entity is already validated) and not cached.

    The name of the new entity class is "<original name>History" (to make sure
    it doesn't show up in indexes for original entity class).
    """
    existing = getattr(cls, '_auth_db_historical_copy_cls', None)
    if existing:
      return existing
    props = {}
    for name, prop in cls._properties.items():
      # Whitelist supported property classes. Better to fail loudly when
      # encountering something new, rather than silently produce (possibly)
      # incorrect result. Note that all AuthDB classes are instantiated in
      # unit tests, so there should be no unexpected asserts in production.
      assert prop.__class__ in (
        datastore_utils.ProtobufProperty,
        IdentityGlobProperty,
        IdentityProperty,
        ndb.BlobProperty,
        ndb.BooleanProperty,
        ndb.DateTimeProperty,
        ndb.IntegerProperty,
        ndb.LocalStructuredProperty,
        ndb.StringProperty,
        ndb.TextProperty,
      ), prop.__class__
      kwargs = {
        'name': prop._name,
        'indexed': False,
        'required': False,
        'repeated': prop._repeated,
      }
      if prop.__class__ == datastore_utils.ProtobufProperty:
        kwargs.update({
          'message_class': prop._message_class,
          'compressed': prop._compressed,
        })
      elif prop.__class__ == ndb.LocalStructuredProperty:
        kwargs['modelclass'] = prop._modelclass
      props[name] = prop.__class__(**kwargs)
    new_cls = type(
        '%sHistory' % cls.__name__, (_AuthDBHistoricalEntity,), props)
    cls._auth_db_historical_copy_cls = new_cls
    return new_cls