A wrapper for creating model classes using Google's Cloud Firestore schemaless database
A small lib for creating model classes using Google's Cloud Firestore schemaless database.
With the release of the of Google's Python 3.7 App Engine came a handful of new libraries for interacting with GCP. The new libs provide a more idiomatic Python development experience. As a part of this upgrade the NDB client library is not compatible with Python 3.7. This small project seeks to replace some of the convenience of the NDB library. Based on the new Dataclasses data structure, it enables you to write useful model classes quickly and simply.
import firestore_model from google.firestore import firestore from filestore_model import Model, Query # initialize the database connection globally for Firestore Model firestore_model.db = firestore.Client() # Define a data structure for a User @dataclass class User(Model): first_name:str last_name:str occupation:str # Create a new user, pass save = True to automagically save the model object u1 = User.make( first_name='Sonic', last_name='Brown', occupation='circus dog' save=True ) # Fetch all users that match a given query users = User.query([ ('occupation', 'circus dog'), ('created', '>', 1540776978) ] ).get() # Iterate through the results of the query for u in users: print(u.id, u.created, u.first_name, u.last_name, u.occupation)
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for firestore_model-0.0.2-py3-none-any.whl