I'm in the process of writing my first RESTful web service atop GAE and the Python 2.7 runtime; I've started out using Guido's shiny new ndb API.
However, I'm unsure how to solve a particular case without the implicit back-reference feature of the original db API. If the user-agent requests a particular resource and those resources 1 degree removed:
host/api/kind/id?depth=2
What's the best way to discover a related collection of entities from the "one" in a one-to-many relationship, given that the kind of the related entity is unknown at development time?
I'm unable to use a replacement query as described in a previous SO inquiry due to the latter restriction. The fact that my model is definable at runtime (and therefore isn't hardcoded) prevents me from using a query to filter properties for matching keys.
Ancestor and other kindless queries are also out due to the datastore limitation that prevents me from filtering on a property without the kind specified.
Thus far, the only idea I've had (beyond reverting to the db api) is to use a cross-group transaction to write my own reference on the "one", either by updating an ndb.StringProperty(repeat=True) containing all the related kinds when an entity of a new kind is introduced or by simply maintaining a list of keys on the "one" ndb.KeyProperty(repeat=True) every time a related "many" entity is written to the datastore.
I'm hoping someone more experienced than myself can suggest a better approach.
Given jmort253's suggestion, I'll try to augment my question with a concrete example adapted from the docs:
class Contact(ndb.Expando):
""" The One """
# basic info
name = ndb.StringProperty()
birth_day = ndb.DateProperty()
# If I were using db, a collection called 'phone_numbers' would be implicitly
# created here. I could use this property to retrieve related phone numbers
# when this entity was queried. Since NDB lacks this feature, the service
# will neither have a reference to query nor the means to know the
# relationship exists in the first place since it cannot be hard-coded. The
# data model is extensible and user-defined at runtime; most relationships
# will be described only in the data, and must be discoverable by the server.
# In this case, when Contact is queried, I need a way to retrieve the
# collection of phone numbers.
# Company info.
company_title = ndb.StringProperty()
company_name = ndb.StringProperty()
company_description = ndb.StringProperty()
company_address = ndb.PostalAddressProperty()
class PhoneNumber(ndb.Expando):
""" The Many """
# no collection_name='phone_numbers' equivalent exists for the key property
contact = ndb.KeyProperty(kind='Contact')
number = ndb.PhoneNumberProperty()
Interesting question! So basically you want to look at the Contact class and find out if there is some other model class that has a KeyProperty referencing it; in this example PhoneNumber (but there could be many).
I think the solution is to ask your users to explicitly add this link when the PhoneNumber class is created.
You can make this easy for your users by giving them a subclass of KeyProperty that takes care of this; e.g.
class LinkedKeyProperty(ndb.KeyProperty):
def _fix_up(self, cls, code_name):
super(LinkedKeyProperty, self)._fix_up(cls, code_name)
modelclass = ndb.Model._kind_map[self._kind]
collection_name = '%s_ref_%s_to_%s' % (cls.__name__,
code_name,
modelclass.__name__)
setattr(modelclass, collection_name, (cls, self))
Exactly how you pick the name for the collection and the value to store there is up to you; just put something there that makes it easy for you to follow the link back. The example would create a new attribute on Contact:
Contact.PhoneNumber_ref_contact_to_Contact == (PhoneNumber, PhoneNumber.contact)
[edited to make the code working and to add an example. :-) ]
Sound like a good use case for ndb.StructuredProperty
.
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