Filtering nested StructuredProperty doesn't work

[patelnav]

According to the documentation here, I should be able to match multiple properties on a (repeated) StructuredProperty in my query. If, however, I nest the property inside another StructuredProperty (not repeatedly) the query fails.

NB: Ignore the dummy parent, I put it there so we can run this code consistently

from google.appengine.ext import ndb
from pprint import pprint


class DummyParent(ndb.Model):
    pass

class Address(ndb.Model):
    city = ndb.StringProperty()
    state = ndb.StringProperty()


class Place(ndb.Model):
    address = ndb.StructuredProperty(Address, required=True)
    tag = ndb.StringProperty()


class Contact(ndb.Model):
    fullname = ndb.StringProperty()
    places = ndb.StructuredProperty(Place, repeated=True)


dummy_key = ndb.Key(DummyParent, '123')

c1 = Contact(parent=dummy_key,
             fullname='American Man',
             places=[
                Place(address=Address(city='Vancouver', state='Washington'), tag='Hometown'),
                Place(address=Address(city='Mountain View', state='California'), tag='Work')
                ])

c1.put()

c2 = Contact(parent=dummy_key,
             fullname='Canadian Expat',
             places=[
                Place(address=Address(city='Vancouver', state='British Columbia'), tag='Hometown'),
                Place(address=Address(city='Seattle', state='Washington'), tag='Work')
             ])
c2.put()

print "BEWARE! This wont work!"

for c in Contact.query(Contact.places.address.city == "Vancouver",
                       Contact.places.address.state == "Washington",
                       ancestor=dummy_key):
    pprint(c.to_dict())

print "Query using Address, Still returns Canadian Expat:"

for c in Contact.query(Contact.places.address == Address(city="Vancouver",
                                                         state="Washington"),
                       ancestor=dummy_key):
    pprint(c.to_dict())

print "Query using Place, Still returns Canadian Expat!:"

for c in Contact.query(Contact.places == Place(address=Address(
                                               city="Vancouver",
                                               state="Washington")),
                       ancestor=dummy_key):
    pprint(c.to_dict())

Here's the output:

BEWARE!
{'fullname': u'Canadian Expat',
 'places': [{'address': {'city': u'Vancouver', 'state': u'British Columbia'},
             'tag': u'Hometown'},
            {'address': {'city': u'Seattle', 'state': u'Washington'},
             'tag': u'Work'}]}
{'fullname': u'American Man',
 'places': [{'address': {'city': u'Vancouver', 'state': u'Washington'},
             'tag': u'Hometown'},
            {'address': {'city': u'Mountain View', 'state': u'California'},
             'tag': u'Work'}]}
COMBINED! STILL NOT WORKING!
{'fullname': u'Canadian Expat',
 'places': [{'address': {'city': u'Vancouver', 'state': u'British Columbia'},
             'tag': u'Hometown'},
            {'address': {'city': u'Seattle', 'state': u'Washington'},
             'tag': u'Work'}]}
{'fullname': u'American Man',
 'places': [{'address': {'city': u'Vancouver', 'state': u'Washington'},
             'tag': u'Hometown'},
            {'address': {'city': u'Mountain View', 'state': u'California'},
             'tag': u'Work'}]}
COMBINED SOME MORE! STILL NOT WORKING!
{'fullname': u'Canadian Expat',
 'places': [{'address': {'city': u'Vancouver', 'state': u'British Columbia'},
             'tag': u'Hometown'},
            {'address': {'city': u'Seattle', 'state': u'Washington'},
             'tag': u'Work'}]}
{'fullname': u'American Man',
 'places': [{'address': {'city': u'Vancouver', 'state': u'Washington'},
             'tag': u'Hometown'},
            {'address': {'city': u'Mountain View', 'state': u'California'},
             'tag': u'Work'}]}

[patelnav]

Hello? Anybody looking at these?

[patelnav]

Hey @wsh hate to directly message you. Any ideas if this issue is being tracked anywhere?