Skip to main content

Datastore framework implementation for umongo

Project description

μDatastore: ODM for Google Cloud Datastore

Implemented as framework in the μMongo library (a python ODM for MongoDB)

While working Google Cloud Datastore, most of our code uses the google-cloud-datastore package, for creating, updating and querying entities. We often find ourselves writing code to export objects to datastore.Entity, and import from entities to objects. On AppEngine, there is ndb which avoids this, so the idea emerged to create an ODM for datastore ourselves.

Having worked with μMongo before, a prototype was created which implements an additional framework based on following conventions:

  • A datastore partition (project/namespace) corresponds to a mongo database
  • A datastore entity kind corresponds to a mongo collection
  • The datastore __key__ field corresponds to the mongo _id field

Install

pip install udatastore

Example

from datetime import datetime
from google.cloud import datastore
from udatastore import DataStoreInstance
from umongo import Document, fields, validate


db = datastore.Client(project="dummy", namespace='abcd')
instance = DataStoreInstance()
instance.init(db)


@instance.register
class User(Document):
    email = fields.EmailField(required=True, unique=True)
    birthday = fields.DateTimeField(validate=validate.Range(min=datetime(1900, 1, 1)))
    friends = fields.ListField(fields.ReferenceField("User"))

goku = User(email='goku@sayen.com', birthday=datetime(1984, 11, 20))
goku.commit()
vegeta = User(email='vegeta@over9000.com', friends=[goku])
vegeta.commit()

vegeta.friends
# <object umongo.data_objects.List([<object udatastore.reference.DataStoreReference(document=User, pk=<Key('User', 4476), project=dummy>)>])>
vegeta.dump()
# {'email': 'vegeta@over9000.com', 'id': '4477', 'friends': [<Key('User', 4476), project=dummy>]}
User.find_one({"email": 'goku@sayen.com'})
# <object Document __main__.User({'email': 'goku@sayen.com', 'id': 4474,
#                                 'friends': <object umongo.data_objects.List([])>,
#                                 'birthday': datetime.datetime(1984, 11, 20, 0, 0)})>

Limitations:

Not all features of μMongo are available or work exactly the same in μDatastore:

  • No indexes
  • We do not currently support all field types
  • Datastore converts any datetime to UTC timezone. For now, μDatastore overrides this behaviour and always works with unaware datetimes.
  • We bring our own ReferenceField implementation. You are free to use umongo.fields.ReferenceField, as the DataStoreBuilder will automatically replace these fields with our implementation. We also disable the io_validation on reference fields. Because datastore is eventually consistent this may report errors when creating references to previously created entities.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

udatastore-0.1.5.tar.gz (9.8 kB view hashes)

Uploaded Source

Built Distribution

udatastore-0.1.5-py2.py3-none-any.whl (17.6 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page