Reputation: 1510
How create a RESTful API using Google App Engine with Python? I've tried using Cloud Endpoints, but the documentation does not focus on a RESTful API. Is there something similar to django-tastypie for GAE?
Upvotes: 21
Views: 19514
Reputation: 6617
The RESTful api can be build based on EndPoint API. There are some tools can help you make things easier:
appengine rest server (not based on endpoints)
Drop-in server for Google App Engine applications which exposes your data model via a REST API with no extra work.
https://code.google.com/p/appengine-rest-server/
Another one is based on endpoints
By extending the functionality provided by ndb.Model class and the endpoints library, this library allows you to directly interact with model entities in your API methods rather than ProtoRPC requests. For example, instead of:
https://github.com/GoogleCloudPlatform/endpoints-proto-datastore
I wrote a RESTFul api generator for endpoints.
# generate restful api in one line
BigDataLab = EndpointRestBuilder(GPCode).build(
api_name="BigDataLab",
name="bigdatalab",
version="v1",
description="My Little Api"
)
repo: https://github.com/Tagtoo/endpoints-proto-datastore-rest
Upvotes: 12
Reputation: 2475
https://github.com/mevinbabuc/Restify
It's a lightweight module that i made, which acts like a ReST interface for appengine. All you would have to do is just define the models in ReSTify/models.py .
You can also add in authentication to it easily without tweaking much.
To get started al you have to do is
import webapp2
import ReSTify
application = webapp2.WSGIApplication(
[
('/api/.*', ReSTify.ReST),
],
debug=True)
Upvotes: 2
Reputation: 439
https://github.com/budowski/rest_gae
I've created a full-fledged REST API for NDB models over webapp2. Includes permissions handling and much much more.
Would love to hear your thoughts:
class MyModel(ndb.Model):
property1 = ndb.StringProperty()
property2 = ndb.StringProperty()
owner = ndb.KeyPropertyProperty(kind='User')
class RESTMeta:
user_owner_property = 'owner' # When a new instance is created, this property will be set to the logged-in user
include_output_properties = ['property1'] # Only include these properties for output
app = webapp2.WSGIApplication([
# Wraps MyModel with full REST API (GET/POST/PUT/DELETE)
RESTHandler(
'/api/mymodel', # The base URL for this model's endpoints
MyModel, # The model to wrap
permissions={
'GET': PERMISSION_ANYONE,
'POST': PERMISSION_LOGGED_IN_USER,
'PUT': PERMISSION_OWNER_USER,
'DELETE': PERMISSION_ADMIN
},
# Will be called for every PUT, right before the model is saved (also supports callbacks for GET/POST/DELETE)
put_callback=lambda model, data: model
),
# Optional REST API for user management
UserRESTHandler(
'/api/users',
user_model=MyUser, # You can extend it with your own custom user class
user_details_permission=PERMISSION_OWNER_USER,
verify_email_address=True,
verification_email={
'sender': 'John Doe <[email protected]>',
'subject': 'Verify your email address',
'body_text': 'Click here {{ user.full_name }}: {{ verification_url }}',
'body_html': '<a href="{{ verification_url }}">Click here</a> {{ user.full_name }}'
},
verification_successful_url='/verification_successful',
verification_failed_url='/verification_failed',
reset_password_url='/reset_password',
reset_password_email={
'sender': 'John Doe <[email protected]>',
'subject': 'Please reset your password',
'body_text': 'Reset here: {{ verification_url }}',
'body_html': '<a href="{{ verification_url }}">Click here</a> to reset'
},
)
], debug=True, config=config)
Upvotes: 9