Python ndb.BooleanProperty方法代码示例

# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import BooleanProperty [as 别名]
def test_state_to_string(self):
    # Same code as State.to_string() except that it works for
    # TaskResultSummary too.
    class Foo(ndb.Model):
      deduped_from = None
      state = task_result.StateProperty()
      failure = ndb.BooleanProperty(default=False)
      internal_failure = ndb.BooleanProperty(default=False)

    for i in task_result.State.STATES:
      self.assertTrue(task_result.State.to_string(i))
    for i in task_result.State.STATES:
      self.assertTrue(task_result.state_to_string(Foo(state=i)))
    f = Foo(state=task_result.State.COMPLETED)
    f.deduped_from = '123'
    self.assertEqual('Deduped', task_result.state_to_string(f)) 

# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import BooleanProperty [as 别名]
def test_generate_entity_schema(self):

    class NestedTestModel(ndb.Model):
      nested_string_attribute = ndb.StringProperty()

    class TestModel(ndb.Model):
      string_attribute = ndb.StringProperty()
      integer_attribute = ndb.IntegerProperty()
      boolean_attribute = ndb.BooleanProperty()
      nested_attribute = ndb.StructuredProperty(NestedTestModel)

    schema = bigquery._generate_entity_schema(TestModel())
    expected_schema_names = _populate_schema_names(self.entity_schema)
    schema_names = _populate_schema_names(schema)
    self.assertCountEqual(expected_schema_names, schema_names) 

# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import BooleanProperty [as 别名]
def convert_BooleanProperty(self, model, prop, kwargs):
        """Returns a form field for a ``ndb.BooleanProperty``."""
        return f.BooleanField(**kwargs) 

# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import BooleanProperty [as 别名]
def testBoolProperty_shouldConvertToString(self):
        self.__assert_conversion(ndb.BooleanProperty, graphene.Boolean) 

# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import BooleanProperty [as 别名]
def parse_property(p):
    name, type_alias = p.split(':')
    types = {'string': 'ndb.StringProperty(required=True)',
             'date': 'ndb.DateProperty(required=True)',
             'datetime': 'ndb.DateTimeProperty(required=True)',
             'int': 'ndb.IntegerProperty(required=True)',
             'float': 'ndb.FloatProperty(required=True)',
             'decimal': 'property.SimpleDecimal(required=True)',
             'currency': 'property.SimpleCurrency(required=True)',
             'bool': 'ndb.BooleanProperty(required=True)'}
    return '    %s = %s' % (name, types[type_alias]) 

# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import BooleanProperty [as 别名]
def _to_default_model_value(descriptor, name, index):
    if isinstance(descriptor, (StringProperty, TextProperty)):
        return "'%s_string'" % name
    if isinstance(descriptor, DateProperty):
        return "date(2014, 1, %s)" % (index + 1)
    if isinstance(descriptor, DateTimeProperty):
        return "datetime(2014, 1, 1, 1, %s, 0)" % (index + 1)
    if isinstance(descriptor, (SimpleCurrency, SimpleDecimal)):
        return "Decimal('1.%s')" % (index + 1 if index >= 9 else '0%s' % (index + 1))
    if isinstance(descriptor, IntegerProperty):
        return "%s" % (index + 1)
    if isinstance(descriptor, FloatProperty):
        return "1.%s" % (index + 1)
    if isinstance(descriptor, BooleanProperty):
        return "True" 

# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import BooleanProperty [as 别名]
def _to_default_reques_value(descriptor, name, index):
    if isinstance(descriptor, (StringProperty, TextProperty)):
        return "'%s_string'" % name
    if isinstance(descriptor, DateProperty):
        return "'1/%s/2014'" % (index + 1)
    if isinstance(descriptor, DateTimeProperty):
        return "'1/1/2014 01:%s:0'" % (index + 1)
    if isinstance(descriptor, (SimpleCurrency, SimpleDecimal)):
        return "'1.%s'" % (index + 1 if index >= 9 else '0%s' % (index + 1))
    if isinstance(descriptor, IntegerProperty):
        return "'%s'" % (index + 1)
    if isinstance(descriptor, FloatProperty):
        return "'1.%s'" % (index + 1)
    if isinstance(descriptor, BooleanProperty):
        return "'True'" 

# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import BooleanProperty [as 别名]
def _CoerceQueryParam(field, query_param):
  """Attempts to coerce `query_param` to match the ndb type of `field`.

  Args:
    field: The ndb field being queried.
    query_param: The query term to be coerced.

  Returns:
    The query param coerced if a coercion was possible.

  Raises:
    QueryTypeError: If there is an error with the type conversion.
  """
  if isinstance(field, ndb.IntegerProperty):
    try:
      return int(query_param)
    except ValueError:
      raise QueryTypeError(
          'Query param "%s" could not be converted to integer' % query_param)
  elif isinstance(field, ndb.BooleanProperty):
    if query_param.lower() == 'true':
      return True
    elif query_param.lower() == 'false':
      return False
    else:
      raise QueryTypeError(
          'Query param "%s" could not be converted to boolean' % query_param)
  elif isinstance(field, ndb.KeyProperty):
    key = datastore_utils.GetKeyFromUrlsafe(query_param)
    if not key:
      raise QueryTypeError(
          'Query param "%s" could not be converted to ndb.Key' % query_param)
    return key
  else:
    return query_param 

# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import BooleanProperty [as 别名]
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)) 

# 需要导入模块: from google.appengine.ext import ndb [as 别名]
# 或者: from google.appengine.ext.ndb import BooleanProperty [as 别名]
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