I'm needing some help setting up unittests for Google Cloud Endpoints. Using WebTest all requests answer with AppError: Bad response: 404 Not Found. I'm not really sure if endpoints is compatible with WebTest.
This is how the application is generated:
application = endpoints.api_server([TestEndpoint], restricted=False)
Then I use WebTest this way:
client = webtest.TestApp(application)
client.post('/_ah/api/test/v1/test', params)
Testing with curl works fine.
Should I write tests for endpoints different? What is the suggestion from GAE Endpoints team?
After much experimenting and looking at the SDK code I've come up with two ways to test endpoints within python:
1. Using webtest + testbed to test the SPI side
You are on the right track with webtest, but just need to make sure you correctly transform your requests for the SPI endpoint.
The Cloud Endpoints API front-end and the EndpointsDispatcher in dev_appserver transforms calls to /_ah/api/* into corresponding "backend" calls to /_ah/spi/*. The transformation seems to be:
All calls are application/json HTTP POSTs (even if the REST endpoint is something else).
The request parameters (path, query and JSON body) are all merged together into a single JSON body message.
The "backend" endpoint uses the actual python class and method names in the URL, e.g. POST /_ah/spi/TestEndpoint.insert_message will call TestEndpoint.insert_message() in your code.
The JSON response is only reformatted before being returned to the original client.
This means you can test the endpoint with the following setup:
from google.appengine.ext import testbed
import webtest
# ...
def setUp(self):
tb = testbed.Testbed()
tb.setup_env(current_version_id='testbed.version') #needed because endpoints expects a . in this value
tb.activate()
tb.init_all_stubs()
self.testbed = tb
def tearDown(self):
self.testbed.deactivate()
def test_endpoint_insert(self):
app = endpoints.api_server([TestEndpoint], restricted=False)
testapp = webtest.TestApp(app)
msg = {...} # a dict representing the message object expected by insert
# To be serialised to JSON by webtest
resp = testapp.post_json('/_ah/spi/TestEndpoint.insert', msg)
self.assertEqual(resp.json, {'expected': 'json response msg as dict'})
The thing here is you can easily setup appropriate fixtures in the datastore or other GAE services prior to calling the endpoint, thus you can more fully assert the expected side effects of the call.
2. Starting the development server for full integration test
You can start the dev server within the same python environment using something like the following:
import sys
import os
import dev_appserver
sys.path[1:1] = dev_appserver._DEVAPPSERVER2_PATHS
from google.appengine.tools.devappserver2 import devappserver2
from google.appengine.tools.devappserver2 import python_runtime
# ...
def setUp(self):
APP_CONFIGS = ['/path/to/app.yaml']
python_runtime._RUNTIME_ARGS = [
sys.executable,
os.path.join(os.path.dirname(dev_appserver.__file__),
'_python_runtime.py')
]
options = devappserver2.PARSER.parse_args([
'--admin_port', '0',
'--port', '8123',
'--datastore_path', ':memory:',
'--logs_path', ':memory:',
'--skip_sdk_update_check',
'--',
] + APP_CONFIGS)
server = devappserver2.DevelopmentServer()
server.start(options)
self.server = server
def tearDown(self):
self.server.stop()
Now you need to issue actual HTTP requests to localhost:8123 to run tests against the API, but again can interact with GAE APIs to set up fixtures, etc. This is obviously slow as you're creating and destroying a new dev server for every test run.
At this point I use the Google API Python client to consume the API instead of building the HTTP requests myself:
import apiclient.discovery
# ...
def test_something(self):
apiurl = 'http://%s/_ah/api/discovery/v1/apis/{api}/{apiVersion}/rest' \
% self.server.module_to_address('default')
service = apiclient.discovery.build('testendpoint', 'v1', apiurl)
res = service.testresource().insert({... message ... }).execute()
self.assertEquals(res, { ... expected reponse as dict ... })
This is an improvement over testing with CURL as it gives you direct access to the GAE APIs to easily set up fixtures and inspect internal state. I suspect there is an even better way to do integration testing that bypasses HTTP by stitching together the minimal components in the dev server that implement the endpoint dispatch mechanism, but that requires more research time than I have right now.
webtest can be simplified to reduce naming bugs
for the following TestApi
import endpoints
import protorpc
import logging
class ResponseMessageClass(protorpc.messages.Message):
message = protorpc.messages.StringField(1)
class RequestMessageClass(protorpc.messages.Message):
message = protorpc.messages.StringField(1)
#endpoints.api(name='testApi',version='v1',
description='Test API',
allowed_client_ids=[endpoints.API_EXPLORER_CLIENT_ID])
class TestApi(protorpc.remote.Service):
#endpoints.method(RequestMessageClass,
ResponseMessageClass,
name='test',
path='test',
http_method='POST')
def test(self, request):
logging.info(request.message)
return ResponseMessageClass(message="response message")
the tests.py should look like this
import webtest
import logging
import unittest
from google.appengine.ext import testbed
from protorpc.remote import protojson
import endpoints
from api.test_api import TestApi, RequestMessageClass, ResponseMessageClass
class AppTest(unittest.TestCase):
def setUp(self):
logging.getLogger().setLevel(logging.DEBUG)
tb = testbed.Testbed()
tb.setup_env(current_version_id='testbed.version')
tb.activate()
tb.init_all_stubs()
self.testbed = tb
def tearDown(self):
self.testbed.deactivate()
def test_endpoint_testApi(self):
application = endpoints.api_server([TestApi], restricted=False)
testapp = webtest.TestApp(application)
req = RequestMessageClass(message="request message")
response = testapp.post('/_ah/spi/' + TestApi.__name__ + '.' + TestApi.test.__name__, protojson.encode_message(req),content_type='application/json')
res = protojson.decode_message(ResponseMessageClass,response.body)
self.assertEqual(res.message, 'response message')
if __name__ == '__main__':
unittest.main()
I tried everything I could think of to allow these to be tested in the normal way. I tried hitting the /_ah/spi methods directly as well as even trying to create a new protorpc app using service_mappings to no avail. I'm not a Googler on the endpoints team so maybe they have something clever to allow this to work but it doesn't appear that simply using webtest will work (unless I missed something obvious).
In the meantime you can write a test script that starts the app engine test server with an isolated environment and just issue http requests to it.
Example to run the server with an isolated environment (bash but you can easily run this from python):
DATA_PATH=/tmp/appengine_data
if [ ! -d "$DATA_PATH" ]; then
mkdir -p $DATA_PATH
fi
dev_appserver.py --storage_path=$DATA_PATH/storage --blobstore_path=$DATA_PATH/blobstore --datastore_path=$DATA_PATH/datastore --search_indexes_path=$DATA_PATH/searchindexes --show_mail_body=yes --clear_search_indexes --clear_datastore .
You can then just use requests to test ala curl:
requests.get('http://localhost:8080/_ah/...')
If you don't want to test the full HTTP stack as described by Ezequiel Muns, you can also just mock out endpoints.method and test your API definition directly:
def null_decorator(*args, **kwargs):
def decorator(method):
def wrapper(*args, **kwargs):
return method(*args, **kwargs)
return wrapper
return decorator
from google.appengine.api.users import User
import endpoints
endpoints.method = null_decorator
# decorator needs to be mocked out before you load you endpoint api definitions
from mymodule import api
class FooTest(unittest.TestCase):
def setUp(self):
self.api = api.FooService()
def test_bar(self):
# pass protorpc messages directly
self.api.foo_bar(api.MyRequestMessage(some='field'))
My solution uses one dev_appserver instance for the entire test module, which is faster than restarting the dev_appserver for each test method.
By using Google's Python API client library, I also get the simplest and at the same time most powerful way of interacting with my API.
import unittest
import sys
import os
from apiclient.discovery import build
import dev_appserver
sys.path[1:1] = dev_appserver.EXTRA_PATHS
from google.appengine.tools.devappserver2 import devappserver2
from google.appengine.tools.devappserver2 import python_runtime
server = None
def setUpModule():
# starting a dev_appserver instance for testing
path_to_app_yaml = os.path.normpath('path_to_app_yaml')
app_configs = [path_to_app_yaml]
python_runtime._RUNTIME_ARGS = [
sys.executable,
os.path.join(os.path.dirname(dev_appserver.__file__),
'_python_runtime.py')
]
options = devappserver2.PARSER.parse_args(['--port', '8080',
'--datastore_path', ':memory:',
'--logs_path', ':memory:',
'--skip_sdk_update_check',
'--',
] + app_configs)
global server
server = devappserver2.DevelopmentServer()
server.start(options)
def tearDownModule():
# shutting down dev_appserver instance after testing
server.stop()
class MyTest(unittest.TestCase):
#classmethod
def setUpClass(cls):
# build a service object for interacting with the api
# dev_appserver must be running and listening on port 8080
api_root = 'http://127.0.0.1:8080/_ah/api'
api = 'my_api'
version = 'v0.1'
discovery_url = '%s/discovery/v1/apis/%s/%s/rest' % (api_root, api,
version)
cls.service = build(api, version, discoveryServiceUrl=discovery_url)
def setUp(self):
# create a parent entity and store its key for each test run
body = {'name': 'test parent'}
response = self.service.parent().post(body=body).execute()
self.parent_key = response['parent_key']
def test_post(self):
# test my post method
# the tested method also requires a path argument "parent_key"
# .../_ah/api/my_api/sub_api/post/{parent_key}
body = {'SomeProjectEntity': {'SomeId': 'abcdefgh'}}
parent_key = self.parent_key
req = self.service.sub_api().post(body=body,parent_key=parent_key)
response = req.execute()
etc..
After digging through the sources, I believe things have changed in endpoints since Ezequiel Muns's (excellent) answer in 2014. For method 1 you now need to request from /_ah/api/* directly and use the correct HTTP method instead of using the /_ah/spi/* transformation. This makes the test file look like this:
from google.appengine.ext import testbed
import webtest
# ...
def setUp(self):
tb = testbed.Testbed()
# Setting current_version_id doesn't seem necessary anymore
tb.activate()
tb.init_all_stubs()
self.testbed = tb
def tearDown(self):
self.testbed.deactivate()
def test_endpoint_insert(self):
app = endpoints.api_server([TestEndpoint]) # restricted is no longer required
testapp = webtest.TestApp(app)
msg = {...} # a dict representing the message object expected by insert
# To be serialised to JSON by webtest
resp = testapp.post_json('/_ah/api/test/v1/insert', msg)
self.assertEqual(resp.json, {'expected': 'json response msg as dict'})
For searching's sake, the symptom of using the old method is endpoints raising a ValueError with Invalid request path: /_ah/spi/whatever. Hope that saves someone some time!
Related
First of all I am aware of flask-testing library with LiveServerTestCase class but it hasn't updated since 2017 and GitHub full of issues of it not working neither on Windows or MacOs and I haven't found any other solutions.
I am trying to write some tests for flask app using selenium to validate FlaskForms inside this app.
Simple test like this:
def test_start(app):
driver.get("http://127.0.0.1:5000/endpoint")
authenticate(driver)
falls on selenium.common.exceptions.WebDriverException: Message: unknown error: net::ERR_CONNECTION_REFUSED error. (As far as I understood in my case app creates in #pytest.fixtures and immediately shuts down and I need to find a way to keep it running for the whole test duration)
My question is: Is it possible to to create some live server in each test that will remain working so I could call API endpoints via selenium?
Simple fixtures if it helps:
#pytest.fixture
def app():
app = create_app()
...
with app.context():
# creating db
...
yield app
also:
#pytest.fixture
def client(app):
"""Test client"""
return app.test_client()
Finally got it all working. My conftest.py
import multiprocessing
import pytest
from app import create_app
#pytest.fixture(scope="session")
def app():
app = create_app()
multiprocessing.set_start_method("fork")
return app
#pytest.fixture
def client(app):
return app.test_client()
Important note that using python <3.8 line multiprocessing.set_start_method("fork") is not necessary (as far as I understood in v.3.8 they refactored multiprocessing module so further upon without this line you would get pickle Error on windows and Mac).
And one simple test looks like
def test_add_endpoint_to_live_server(live_server):
#live_server.app.route('/tests-endpoint')
def test_endpoint():
return 'got it', 200
live_server.start()
res = urlopen(url_for('.te', _external=True))# ".te is a method path I am calling"
assert url_for('.te', _external=True) == "some url"
assert res.code == 200
assert b'got it' in res.read()
Also I am using url_for. The point is every time live server starts on a random port and url_for function generates url with correct port internally. So now live server is running and it is possible to implement selenium tests.
I have a application running which some where in the midst uses some rest API call. Now for stress test I want to replace this API call with some mock server. Is there any way to do it.
Let me try to put it programmatically so it gets some clarity. I've a some server running at port say 8080
# main server
from flask import Flask
from myapp import Myapp
app = Flask(__name__)
#app.route("/find_solution", methods=["GET"])
def solution() :
return app.sol.find_solution(), 200
def start():
app.sol = Myapp()
return app
Now this Myapp
#myapp
import requests
class Myapp:
def __init__():
self.session = requests.Session()
def find_solution():
myparameters = {"Some parameter that I filled"}
return self.session.request('GET', 'http://api.weatherstack.com/current', params=myparameters)
Now here I want to replace behavior of http://api.weatherstack.com/current without modifying code. i.e some way where I can replace call to http:api.weatherstack.com/current to my local system server.
Any help of lead is appreciated. I am using ubuntu 20.04
So for your scenario if you want to test your api flask comes with mock test client feature.
test_client = app.test_client()
test_client.post('/find_solution', headers={"Content-Type": "application/json"}, data=data)
So for this scenario you can create test cases and get test client instance inside your test case and perform tests at api level. This is a light weight test method rather than the one proposed by you
Refer to the following link for official flask documentation
https://flask.palletsprojects.com/en/1.1.x/testing/#keeping-the-context-around
Cheers
I wanted to test redirection in my Bottle application. Unfortunately I did not find the way to test the redirection location. So far I was just able to test that the redirection was held, by testing that BottleException was raised.
def test_authorize_without_token(mocked_database_utils):
with pytest.raises(BottleException) as resp:
auth_utils.authorize()
Is there a way to obtain HTTP response status code or/and redirection location?
Thanks for help.
WebTest is a full-featured and easy way to test WSGI applications. Here's an example that checks for a redirect:
from bottle import Bottle, redirect
from webtest import TestApp
# the real webapp
app = Bottle()
#app.route('/mypage')
def mypage():
'''Redirect'''
redirect('https://some/other/url')
def test_redirect():
'''Test that GET /mypage redirects'''
# wrap the real app in a TestApp object
test_app = TestApp(app)
# simulate a call (HTTP GET)
resp = test_app.get('/mypage', status=[302])
# validate the response
assert resp.headers['Location'] == 'https://some/other/url'
# run the test
test_redirect()
When I run py.test --with-gae, I get the following error (I have pytest_gae plugin installed):
def get_current_session():
"""Returns the session associated with the current request."""
> return _tls.current_session
E AttributeError: 'thread._local' object has no attribute 'current_session'
gaesessions/__init__.py:50: AttributeError
I'm using pytest to test my google appengine application. The application runs fine when run in the localhost SDK or when deployed to GAE servers. I just can't figure out how to make pytest work with gaesessions.
My code is below:
test_handlers.py
from webtest import TestApp
import appengine_config
def pytest_funcarg__anon_user(request):
from main import app
app = appengine_config.webapp_add_wsgi_middleware(app)
return TestApp(app)
def test_session(anon_user):
from gaesessions import get_current_session
assert get_current_session()
appengine_config.py
from gaesessions import SessionMiddleware
def webapp_add_wsgi_middleware(app):
from google.appengine.ext.appstats import recording
app = recording.appstats_wsgi_middleware(app)
app = SessionMiddleware(app, cookie_key="replaced-with-this-boring-text")
return app
Relevant code from gaesessions:
# ... more code are not show here ...
_tls = threading.local()
def get_current_session():
"""Returns the session associated with the current request."""
return _tls.current_session
# ... more code are not show here ...
class SessionMiddleware(object):
"""WSGI middleware that adds session support.
``cookie_key`` - A key used to secure cookies so users cannot modify their
content. Keys should be at least 32 bytes (RFC2104). Tip: generate your
key using ``os.urandom(64)`` but do this OFFLINE and copy/paste the output
into a string which you pass in as ``cookie_key``. If you use ``os.urandom()``
to dynamically generate your key at runtime then any existing sessions will
become junk every time your app starts up!
``lifetime`` - ``datetime.timedelta`` that specifies how long a session may last. Defaults to 7 days.
``no_datastore`` - By default all writes also go to the datastore in case
memcache is lost. Set to True to never use the datastore. This improves
write performance but sessions may be occassionally lost.
``cookie_only_threshold`` - A size in bytes. If session data is less than this
threshold, then session data is kept only in a secure cookie. This avoids
memcache/datastore latency which is critical for small sessions. Larger
sessions are kept in memcache+datastore instead. Defaults to 10KB.
"""
def __init__(self, app, cookie_key, lifetime=DEFAULT_LIFETIME, no_datastore=False, cookie_only_threshold=DEFAULT_COOKIE_ONLY_THRESH):
self.app = app
self.lifetime = lifetime
self.no_datastore = no_datastore
self.cookie_only_thresh = cookie_only_threshold
self.cookie_key = cookie_key
if not self.cookie_key:
raise ValueError("cookie_key MUST be specified")
if len(self.cookie_key) < 32:
raise ValueError("RFC2104 recommends you use at least a 32 character key. Try os.urandom(64) to make a key.")
def __call__(self, environ, start_response):
# initialize a session for the current user
_tls.current_session = Session(lifetime=self.lifetime, no_datastore=self.no_datastore, cookie_only_threshold=self.cookie_only_thresh, cookie_key=self.cookie_key)
# create a hook for us to insert a cookie into the response headers
def my_start_response(status, headers, exc_info=None):
_tls.current_session.save() # store the session if it was changed
for ch in _tls.current_session.make_cookie_headers():
headers.append(('Set-Cookie', ch))
return start_response(status, headers, exc_info)
# let the app do its thing
return self.app(environ, my_start_response)
The problem is that your gae sessions is not yet called until the app is also called. The app is only called when you make a request to it. Try inserting a request call before you check for the session value. Check out the revised test_handlers.py code below.
def test_session(anon_user):
anon_user.get("/") # get any url to call the app to create a session.
from gaesessions import get_current_session
assert get_current_session()
So i've looked around at a few things involving writting an HTTP Proxy using python and the Twisted framework.
Essentially, like some other questions, I'd like to be able to modify the data that will be sent back to the browser. That is, the browser requests a resource and the proxy will fetch it. Before the resource is returned to the browser, i'd like to be able to modify ANY (HTTP headers AND content) content.
This ( Need help writing a twisted proxy ) was what I initially found. I tried it out, but it didn't work for me. I also found this ( Python Twisted proxy - how to intercept packets ) which i thought would work, however I can only see the HTTP requests from the browser.
I am looking for any advice. Some thoughts I have are to use the ProxyClient and ProxyRequest classes and override the functions, but I read that the Proxy class itself is a combination of the both.
For those who may ask to see some code, it should be noted that I have worked with only the above two examples. Any help is great.
Thanks.
To create ProxyFactory that can modify server response headers, content you could override ProxyClient.handle*() methods:
from twisted.python import log
from twisted.web import http, proxy
class ProxyClient(proxy.ProxyClient):
"""Mangle returned header, content here.
Use `self.father` methods to modify request directly.
"""
def handleHeader(self, key, value):
# change response header here
log.msg("Header: %s: %s" % (key, value))
proxy.ProxyClient.handleHeader(self, key, value)
def handleResponsePart(self, buffer):
# change response part here
log.msg("Content: %s" % (buffer[:50],))
# make all content upper case
proxy.ProxyClient.handleResponsePart(self, buffer.upper())
class ProxyClientFactory(proxy.ProxyClientFactory):
protocol = ProxyClient
class ProxyRequest(proxy.ProxyRequest):
protocols = dict(http=ProxyClientFactory)
class Proxy(proxy.Proxy):
requestFactory = ProxyRequest
class ProxyFactory(http.HTTPFactory):
protocol = Proxy
I've got this solution by looking at the source of twisted.web.proxy. I don't know how idiomatic it is.
To run it as a script or via twistd, add at the end:
portstr = "tcp:8080:interface=localhost" # serve on localhost:8080
if __name__ == '__main__': # $ python proxy_modify_request.py
import sys
from twisted.internet import endpoints, reactor
def shutdown(reason, reactor, stopping=[]):
"""Stop the reactor."""
if stopping: return
stopping.append(True)
if reason:
log.msg(reason.value)
reactor.callWhenRunning(reactor.stop)
log.startLogging(sys.stdout)
endpoint = endpoints.serverFromString(reactor, portstr)
d = endpoint.listen(ProxyFactory())
d.addErrback(shutdown, reactor)
reactor.run()
else: # $ twistd -ny proxy_modify_request.py
from twisted.application import service, strports
application = service.Application("proxy_modify_request")
strports.service(portstr, ProxyFactory()).setServiceParent(application)
Usage
$ twistd -ny proxy_modify_request.py
In another terminal:
$ curl -x localhost:8080 http://example.com
For two-way proxy using twisted see the article:
http://sujitpal.blogspot.com/2010/03/http-debug-proxy-with-twisted.html