The descriptor protocol works fine but I still have one issue I would like to resolve.
I have a descriptor:
class Field(object):
def __init__(self, type_, name, value=None, required=False):
self.type = type_
self.name = "_" + name
self.required = required
self._value = value
def __get__(self, instance, owner):
return getattr(instance, self.name, self.value)
def __set__(self, instance, value):
if value:
self._check(value)
setattr(instance, self.name, value)
else:
setattr(instance, self.name, None)
def __delete__(self, instance):
raise AttributeError("Can't delete attribute")
@property
def value(self):
return self._value
@value.setter
def value(self, value):
self._value = value if value else self.type()
@property
def _types(self):
raise NotImplementedError
def _check(self, value):
if not isinstance(value, tuple(self._types)):
raise TypeError("This is bad")
This is subclassed:
class CharField(Field):
def __init__(self, name, value=None, min_length=0, max_length=0, strip=False):
super(CharField, self).__init__(unicode, name, value=value)
self.min_length = min_length
self.max_length = max_length
self.strip = strip
@property
def _types(self):
return [unicode, str]
def __set__(self, instance, value):
if self.strip:
value = value.strip()
super(CharField, self).__set__(instance, value)
And then used is a model class:
class Country(BaseModel):
name = CharField("name")
country_code_2 = CharField("country_code_2", min_length=2, max_length=2)
country_code_3 = CharField("country_code_3", min_length=3, max_length=3)
def __init__(self, name, country_code_2, country_code_3):
self.name = name
self.country_code_2 = country_code_2
self.country_code_3 = country_code_3
So far, so good, this works just as expected.
The only issue I have here is that we have to give a field name every time a field is declared. e.g. "country_code_2"
for the country_code_2
field.
How would it be possible to get the attribute name of the model class and use it in the field class?
Attributes of a class can also be accessed using the following built-in methods and functions : getattr() – This function is used to access the attribute of object. hasattr() – This function is used to check if an attribute exist or not. setattr() – This function is used to set an attribute.
The __name__ attribute returns the name of the module. By default, the name of the file (excluding the extension . py) is the value of __name__attribute. In the same way, it gives the name of your custom module.
Python's __get__() magic method defines the dynamic return value when accessing a specific instance and class attribute. It is defined in the attribute's class and not in the class holding the attribute (= the owner class).
There is a simple way, and there is a hard way.
The simple way is to use Python 3.6 (or newer), and give your descriptor an additional object.__set_name__()
method:
def __set_name__(self, owner, name):
self.name = '_' + name
When a class is created, Python automatically will call that method on any descriptors you set on the class, passing in the class object and the attribute name.
For earlier Python versions, the best next option is to use a metaclass; it'll be called for every subclass that is created, and given a handy dictionary mapping attribute name to attribute value (including you descriptor instances). You can then use this opportunity to pass that name to the descriptor:
class BaseModelMeta(type):
def __new__(mcls, name, bases, attrs):
cls = super(BaseModelMeta, mcls).__new__(mcls, name, bases, attrs)
for attr, obj in attrs.items():
if isinstance(obj, Field):
obj.__set_name__(cls, attr)
return cls
This calls the same __set_name__()
method on the field, that Python 3.6 supports natively. Then use that as the metaclass for BaseModel
:
class BaseModel(object, metaclass=BaseModelMeta):
# Python 3
or
class BaseModel(object):
__metaclass__ = BaseModelMeta
# Python 2
You could also use a class decorator to do the __set_name__
calls for any class you decorate it with, but that requires you to decorate every class. A metaclass is automatically propagated through the inheritance hierarchy instead.
I go through this in my book, Python Descriptors, though I haven't updated to a second edition to add the new feature in 3.6. Other than that, it's a fairly comprehensive guide on descriptors, taking 60 pages on just the one feature.
Anyway, a way to get the name without metaclasses is with this very simple function:
def name_of(descriptor, instance):
attributes = set()
for cls in type(instance).__mro__:
# add all attributes from the class into `attributes`
# you can remove the if statement in the comprehension if you don't want to filter out attributes whose names start with '__'
attributes |= {attr for attr in dir(cls) if not attr.startswith('__')}
for attr in attributes:
if type(instance).__dict__[attr] is descriptor:
return attr
Considering every time you use the name of the descriptor, the instance is involved, this shouldn't be too difficult to figure out how to use. You could also find a way to cache the name once you've looked it up the first time.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With