endpoints-proto-datastore

This library is intended to be used with the Python version of Google Cloud Endpoints. If you'd like to learn more about Google Cloud Endpoints, please visit our documentation. To run each of these samples, you should include the endpoints_proto_datastore folder included with this project.

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:

@endpoints.method(MyModelMessage, MyModelMessage,
                  path='mymodel', http_method='POST',
                  name='mymodel.insert')
def InsertModel(self, request):
  my_model = MyModel(attr1=request.attr1, attr2=request.attr2, ...)
  transformed_model = DoSomething(my_model)
  return MyModelMessage(attr1=transformed_model.attr1,
                        attr2=transformed_model.attr2, ...)

we can directly use the entity in the request:

@MyModel.method(path='mymodel', http_method='POST',
                name='mymodel.insert')
def InsertModel(self, my_model):
  return DoSomething(my_model)

without ever even having to define a ProtoRPC message class!

Get started with the examples.

Project Setup, Installation, and Configuration

To use this library in your App Engine application you can

• Download the endpoints_proto_datastore library and unzip it in the root of your App Engine application. For example, on a Unix based machine:

  (${GAE_PROJECT_ROOT})$ wget "https://github.com/GoogleCloudPlatform/"`
                              `"endpoints-proto-datastore/blob/"`
                              `"zipfile-branch/"`
                              `"endpoints_proto_datastore.zip?raw=true" \
                         -O endpoints_proto_datastore.zip
  (${GAE_PROJECT_ROOT})$ unzip endpoints_proto_datastore.zip
  (${GAE_PROJECT_ROOT})$ rm endpoints_proto_datastore.zip

• Alternatively you can stay up to date by adding this repository to your project as a git submodule:

  (${YOUR_GIT_ROOT})$ git submodule add https://github.com/GoogleCloudPlatform/endpoints-proto-datastore

  This will create the entire project in the endpoints-proto-datastore folder in your project. Since Python packages require __init__.py files for imports to work and the root of this project is not meant to be a Python package, you'll need to add endpoints-proto-datastore to your Python import path.

  The simplest way to do this is to add the following lines to your appengine_config.py file (or create the file if it doesn't yet exist):

  import os
  import sys
  
  ENDPOINTS_PROJECT_DIR = os.path.join(os.path.dirname(__file__),
                                       'endpoints-proto-datastore')
  sys.path.append(ENDPOINTS_PROJECT_DIR)

  Note: If the App Engine project stored in your git repository is not at the root, you may need to add a symlink to the endpoints-proto-datastore/endpoints_proto_datastore directory and put it at the root of your App Engine project.

To install App Engine visit the Development Environment page.

Features, Questions and Support

• To request a feature, report a bug, or request a new sample or piece of documentation; please file an issue.
• For troubleshooting issues or asking general questions, please ask a question on StackOverflow using the endpoints-proto-datastore tag.

Testing

All tests are wrapped into the endpoints_proto_datastore_test_runner.py module. To run the tests, simply execute

$ python ${PATH_TO_TEST_RUNNER}/endpoints_proto_datastore_test_runner.py

This test runner assumes that you have App Engine SDK tools on your path and will use the location of the dev_appserver.py script to determine the location of the SDK. For example, on a Unix based system it would be equivalent to:

$ dirname `readlink \`which dev_appserver.py\``

Contributing changes

• See CONTRIB.md

• To create docs for a contributed example, use pycco. For example:

  $ pycco example_name/main.py

Licensing

• See LICENSE
• Note: The test runner includes some code from the Twisted project, which is listed under terms other than Apache 2.0.