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NoseGAE 0.5.8

NoseGAE: nose plugin for Google App Engine testing

Package Documentation

NoseGAE: Nose for Google App Engine Testing
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## Overview

NoseGAE is a [nose]( plugin that makes it easier to
write functional and unit tests for [Google App Engine]( applications.

1. [What does it do?](#what-does-it-do)
1. [Functional tests](#functional-tests)
2. [Unit tests](#unit-tests)
2. [Configuring the TestBed](#configuring-the-testbed)
1. [Class Based Tests](#class-based-tests)
2. [Function Tests](#function-tests)
3. [Doctest](#doctest)
3. [Changes in 0.5.2](#changes-in-052)
4. [Changes in 0.4.0](#changes-in-040)

## What does it do?

NoseGAE sets up the GAE development environment before your test run. This means that you can easily
write functional tests for your application without having to actually start the dev server and test
over http. The plugin also configures and initializes a TestBed instance, your application_id based off
your `app.yaml`, and sets the proper paths using `dev_appserver.fix_sys_path()`.

### Functional tests

Consider the simple hello world application in `examples/helloworld`:

import webapp2
from jinja2 import Environment

class Hello(webapp2.RequestHandler):
def get(self):
self.response.headers['Content-Type'] = 'text/plain'
env = Environment()
template = env.from_string("Hello {{ greeting }}!")

app = webapp2.WSGIApplication([('/', Hello)], debug=True)


And a simple functional test suite `examples/helloworld/` for the application:

from webtest import TestApp
import unittest
import helloworld

app = TestApp(

class HelloWorldTest(unittest.TestCase):
def test_index(self):
"""Tests that the index page for the application

The page should be served as: Content-Type: text/plain
The body content should contain the string: Hello world!
response = app.get('/')
self.assertEqual(response.content_type, 'text/plain')
self.assertIn('Hello world!', response.body)


Without NoseGAE, the test fails.

helloworld$ nosetests --logging-level=ERROR
ERROR: Failure: ImportError (No module named webapp2)
Traceback (most recent call last):
File "/Users/Josh/Developer/Github/jj/lib/python2.7/site-packages/nose-1.3.4-py2.7.egg/nose/", line 414, in loadTestsFromName
addr.filename, addr.module)
File "/Users/Josh/Developer/Github/jj/lib/python2.7/site-packages/nose-1.3.4-py2.7.egg/nose/", line 47, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/Users/Josh/Developer/Github/jj/lib/python2.7/site-packages/nose-1.3.4-py2.7.egg/nose/", line 94, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/Users/Josh/Developer/Github/nosegae/examples/helloworld/", line 2, in <module>
import helloworld
File "/Users/Josh/Developer/Github/nosegae/examples/helloworld/", line 1, in <module>
import webapp2
ImportError: No module named webapp2

Ran 1 test in 0.075s

FAILED (errors=1)

With NoseGAE, they pass.

helloworld$ nosetests --logging-level=ERROR --with-gae
Ran 1 test in 0.264s



### Unit tests

Functional tests are only one kind of test, of course. What if you
want to write unit tests for your data models? Normally, you can't use
your models at all outside of the dev environment, because the Google
App Engine datastore isn't available. However, since the NoseGAE
plugin sets up the development environment around your test run, you
can use models directly in your tests.

Consider the `examples/pets/` file that includes some doctests:

from google.appengine.ext import ndb

class Pet(ndb.Model):
"""The Pet class provides storage for pets.

>>> # initialize testbed stubs
>>> testbed.init_memcache_stub()
>>> testbed.init_datastore_v3_stub()

You can create a pet:
>>> muffy = Pet(name=u'muffy', type=u'dog', breed=u"Shi'Tzu")
>>> muffy # doctest: +ELLIPSIS
Pet(name=u'muffy', type=u'dog', breed=u"Shi'Tzu", ...)
>>> muffy_key = muffy.put()

Once created, you can load a pet by its key:

>>> muffy_key.get() # doctest: +ELLIPSIS
Pet(name=u'muffy', type=u'dog', breed=u"Shi'Tzu", ...)

Or by a query that selects the pet:

>>> list(Pet.query(Pet.type == 'dog')) # doctest: +ELLIPSIS
[Pet(name=u'muffy', ...)]

To modify a pet, change one of its properties and ``put()`` it again.

>>> muffy_2 = muffy
>>> muffy_2.age = 10
>>> muffy_key_2 = muffy_2.put()

The pet's key doesn't change when it is updated.

>>> bool(muffy_key == muffy_key_2)
name = ndb.StringProperty(required=True)
type = ndb.StringProperty(required=True, choices=("cat", "dog", "bird", "fish", "monkey"))
breed = ndb.StringProperty()
age = ndb.IntegerProperty()
comments = ndb.TextProperty()
created = ndb.DateTimeProperty(auto_now_add=True, required=True)

def __repr__(self):
return ("Pet(name=%r, type=%r, breed=%r, age=%r, "
"comments=%r, created=%r)" %
(, self.type, self.breed, self.age,
self.comments, self.created))


Without NoseGAE, the doctests fail.

pets$ nosetests --with-doctest --logging-level=ERROR
FAIL: Doctest: models.Pet
Traceback (most recent call last):
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/", line 2201, in runTest
raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for models.Pet
File "/Users/Josh/Developer/Github/nosegae/examples/pets/", line 4, in Pet

File "/Users/Josh/Developer/Github/nosegae/examples/pets/", line 15, in models.Pet
Failed example:
muffy_key = muffy.put()
Exception raised:
Traceback (most recent call last):
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/", line 1289, in __run
compileflags, 1) in test.globs
File "<doctest[2]="">", line 1, in <module>
muffy_key = muffy.put()
File "/Applications/", line 3379, in _put
return self._put_async(**ctx_options).get_result()
File "/Applications/", line 325, in get_result
File "/Applications/", line 368, in _help_tasklet_along
value = gen.throw(exc.__class__, exc, tb)
File "/Applications/", line 810, in put
key = yield self._put_batcher.add(entity, options)
File "/Applications/", line 371, in _help_tasklet_along
value = gen.send(val)
File "/Applications/", line 343, in _put_tasklet
keys = yield self._conn.async_put(options, datastore_entities)
File "/Applications/", line 1801, in async_put
return make_put_call(base_req, pbs, extra_hook)
File "/Applications/", line 1784, in make_put_call
File "/Applications/", line 1310, in _make_rpc_call
rpc = self._create_rpc(config, service_name)
File "/Applications/", line 1205, in _create_rpc
rpc = apiproxy_stub_map.UserRPC(service_name, deadline, callback)
File "/Applications/", line 414, in __init__
self.__rpc = CreateRPC(service, stubmap)
File "/Applications/", line 68, in CreateRPC
assert stub, 'No api proxy found for service "%s"' % service
AssertionError: No api proxy found for service "datastore_v3"


With NoseGAE, they pass.

pets$ nosetests --with-doctest --with-gae
Ran 1 test in 0.228s


## Configuring the TestBed

NoseGAE automatically configures your `TestBed` instance for you and then enables any stubs that you
may need for your tests to pass. There are two ways to enable and configure your stubs. The first and
most flexible way is to directly initialize the stub(s) on the `TestBed` instance injected into your
test case. The second, and simpler way, is to set the `nosegae_*` and optional `nosegae_*_kwargs`
attributes on your test case and let NoseGAE configure them for you. The following three sections describe
how to use the `TestBed` in your own tests.

### Class Based Tests

The simplest of use cases is when your test class extends `unittest.TestCase`. The NoseGAE plugin injects an attribute
named `testbed` to the instance of your test class and configures it based upon any attributes matching the convention
`nosegae_<stubname>` and `nosegae_<stubname>_kwargs`.

This test uses the assigned `testbed` attribute to manually configure each test.

class MyTest(unittest.TestCase):
def test_using_memcache(self):
"""Unit test using memcache"""
from google.appengine.api import memcache
memcache.set('test', True, 30)

def test_using_taskqueue(self):
"""Unit test using the taskqueue"""
from google.appengine.api import taskqueue
task_url = '/some/task'
taskqueue_stub = self.testbed.get_stub('taskqueue')
tasks = taskqueue_stub.get_filtered_tasks(url=task_url)
self.assertEqual(1, len(tasks))
self.assertEqual(task_url, tasks[0].url)

The following test case shows how to write a test that uses the datastore stub based on the simple configuration
method using `nosegae_<stubname>` and `nosegae_<stubname>_kwargs`.

class DataTest(unittest.TestCase):
# enable the datastore stub
nosegae_datastore_v3 = True

def test_get_entity(self):
"""Naively tests that we can fetch an entity from the datastore"""
entity = MyModel.query().get()


### Function Tests

This test case uses the `testbed` instance assigned to the function to manually configure any needed stubs.
See `examples/function_manual_config`.

def test_index():
# test_index.testbed is assigned by the NoseGAE plugin
test_index.testbed.init_taskqueue_stub(task_retry_seconds=42, root_path=os.path.dirname(__file__))
# Assume the `/` route fires off a task queue and should pass without exceptions
app = TestApp(
response = app.get('/')
assert 'Hello world!' in str(response)

The following test shows how to use the simple method while passing kwargs to the taskqueue
stub's initialization method. See `examples/issue42_task-queue` for full example code.

def test_index():
# Assume the `/` route fires off a task queue and should pass without exceptions
app = TestApp(app)
response = app.get('/')
assert 'Hello world!' in str(response)

# Enable any stubs needed as attributes off of the test function

# NoseGAE looks for queue.yaml in the root of the
# application when nosegae_taskqueue is True
test_index.nosegae_taskqueue = True

# ...or you can manually set the path and any additional arguments with the kwargs attribute
test_index.nosegae_taskqueue_kwargs = dict(task_retry_seconds=42, root_path=os.path.dirname(__file__))

### Doctest

Doctests are a whole other beast. They still work but all `TestBed` configuration has to be done manually.
NoseGAE uses the [nose doctest plugin]( to inject
a global variable named `testbed` into your doctest scope that contains the current active `TestBed` instance.
See `examples/pets/` for full example.

class Pet(ndb.Model):
"""The Pet class provides storage for pets.

>>> # Initialize stubs using the injected testbed instance
>>> testbed.init_memcache_stub()
>>> testbed.init_datastore_v3_stub()

You can create a pet:
>>> muffy = Pet(name=u'muffy', type=u'dog', breed=u"Shi'Tzu")
>>> muffy_key = muffy.put()
name = ndb.StringProperty(required=True)
type = ndb.StringProperty(required=True, choices=("cat", "dog", "bird", "fish", "monkey"))
breed = ndb.StringProperty()
## Changes in 0.5.2

The 0.5.2 release introduces preliminary modules support by allowing multiple yaml or paths sent to the
`--gae-application` command line option.

nosetests --with-gae \

## Changes in 0.4.0

The 0.4.0 release is a major rewrite to support `dev_appserver2`. This release introduced two important changes listed

### Sandbox is gone

Due to changes in the sandboxing mechanisms in dev_appserver2, it isn't possible for NoseGAE to simulate the deployed
environment any longer. The sandboxing feature had to be removed since there is no longer any way to toggle it between
`nose`s own internal workings.

This means that certain tests may pass locally but the code in question will fail in production due to restricted
modules and functions. As of now there is no workaround but pull requests are welcome!

### Testbed is set up for you

The new plugin automatically sets up the initial `google.appengine.ext.testbed.Testbed` instance and injects it into
your test cases for you.
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