def setUp(self):
template_path = pjoin(
self.test_context.engine_directory, "recommendation-engine")
app_context = AppContext(
name="MyRecommender",
template=template_path)
self.app = AppEngine(self.test_context, app_context)
def setUp(self):
self.log.info("Setting up the engine")
template_path = pjoin(self.test_context.engine_directory,
"recommendation-engine")
engine_json_path = pjoin(self.test_context.data_directory,
"quickstart_test/engine.json")
self.training_data_path = pjoin(self.test_context.data_directory,
"quickstart_test/training_data.txt")
# downloading training data
srun('curl https://raw.githubusercontent.com/apache/spark/master/' \
'data/mllib/sample_movielens_data.txt --create-dirs -o {}'
.format(self.training_data_path))
app_context = AppContext(name="MyRecommender",
template=template_path,
engine_json_path=engine_json_path)
self.app = AppEngine(self.test_context, app_context)
def setUp(self):
self.log.info("Setting up the engine")
template_path = pjoin(
self.test_context.engine_directory, "recommendation-engine")
engine_json_path = pjoin(
self.test_context.data_directory, "quickstart_test/engine.json")
self.training_data_path = pjoin(
self.test_context.data_directory,
"quickstart_test/training_data.txt")
# downloading training data
srun('curl https://raw.githubusercontent.com/apache/spark/master/' \
'data/mllib/sample_movielens_data.txt --create-dirs -o {}'
.format(self.training_data_path))
app_context = AppContext(
name="MyRecommender",
template=template_path,
engine_json_path=engine_json_path)
self.app = AppEngine(self.test_context, app_context)
class QuickStartTest(BaseTestCase):
def setUp(self):
self.log.info("Setting up the engine")
template_path = pjoin(self.test_context.engine_directory,
"recommendation-engine")
engine_json_path = pjoin(self.test_context.data_directory,
"quickstart_test/engine.json")
self.training_data_path = pjoin(self.test_context.data_directory,
"quickstart_test/training_data.txt")
# downloading training data
srun('curl https://raw.githubusercontent.com/apache/spark/master/' \
'data/mllib/sample_movielens_data.txt --create-dirs -o {}'
.format(self.training_data_path))
app_context = AppContext(name="MyRecommender",
template=template_path,
engine_json_path=engine_json_path)
self.app = AppEngine(self.test_context, app_context)
def engine_dir_test(self):
self.log.info("Stopping deployed engine")
self.app.stop()
self.log.info("Creating dummy directory")
engine_path = self.app.engine_path
dummy_path = "{}/dummy".format(engine_path)
srun("mkdir -p {}".format(dummy_path))
self.log.info("Testing pio commands in dummy directory with " +
"--engine-dir argument")
self.app.engine_path = dummy_path
self.log.info("Building an engine...")
self.app.build(engine_dir=engine_path)
self.log.info("Training...")
self.app.train(engine_dir=engine_path)
self.log.info("Deploying and waiting 30s for it to start...")
self.app.deploy(wait_time=30, engine_dir=engine_path)
self.log.info("Sending a single query and checking results")
user_query = {"user": 1, "num": 4}
r = self.app.query(user_query)
self.assertEqual(200, r.status_code)
result = r.json()
self.assertEqual(4, len(result['itemScores']))
self.log.info("Deleting dummy directory")
srun("rm -rf {}".format(dummy_path))
self.app.engine_path = engine_path
def runTest(self):
self.log.info("Adding a new application")
self.app.new()
event1 = {
"event": "rate",
"entityType": "user",
"entityId": "u0",
"targetEntityType": "item",
"targetEntityId": "i0",
"properties": {
"rating": 5
},
"eventTime": "2014-11-02T09:39:45.618-08:00"
}
event2 = {
"event": "buy",
"entityType": "user",
"entityId": "u1",
"targetEntityType": "item",
"targetEntityId": "i2",
"eventTime": "2014-11-10T12:34:56.123-08:00"
}
self.log.info("Sending two test events")
self.assertListEqual(
[201, 201],
[self.app.send_event(e).status_code for e in [event1, event2]])
self.log.info("Checking the number of events stored on the server")
r = self.app.get_events()
self.assertEquals(200, r.status_code)
stored_events = r.json()
self.assertEqual(2, len(stored_events))
self.log.info("Importing many events")
new_events = read_events(self.training_data_path)
for ev in new_events:
r = self.app.send_event(ev)
self.assertEqual(201, r.status_code)
self.log.info("Checking the number of events stored on eventserver")
r = self.app.get_events(params={'limit': -1})
self.assertEquals(200, r.status_code)
stored_events = r.json()
self.assertEquals(len(new_events) + 2, len(stored_events))
self.log.info("Building an engine...")
self.app.build()
self.log.info("Training...")
self.app.train()
self.log.info("Deploying and waiting 35s for it to start...")
self.app.deploy(wait_time=35)
self.log.info("Testing pio commands outside of engine directory")
self.engine_dir_test()
self.log.info("Sending a single query and checking results")
user_query = {"user": 1, "num": 4}
r = self.app.query(user_query)
self.assertEqual(200, r.status_code)
result = r.json()
self.assertEqual(4, len(result['itemScores']))
def tearDown(self):
self.log.info("Stopping deployed engine")
self.app.stop()
self.log.info("Deleting all related data")
self.app.delete_data()
self.log.info("Removing an app")
self.app.delete()
class EventserverTest(BaseTestCase):
""" Integration test for PredictionIO Eventserver API
Refer to below for further information:
http://predictionio.apache.org/datacollection/eventmodel/
http://predictionio.apache.org/datacollection/eventapi/
"""
# Helper methods
def eventserver_url(self, path=None):
url = 'http://{}:{}'.format(
self.test_context.es_ip, self.test_context.es_port)
if path: url += '/{}'.format(path)
return url
def load_events(self, json_file):
file_path = pjoin(self.test_context.data_directory,
'eventserver_test/{}'.format(json_file))
return json.loads(open(file_path).read())
def setUp(self):
template_path = pjoin(
self.test_context.engine_directory, "recommendation-engine")
app_context = AppContext(
name="MyRecommender",
template=template_path)
self.app = AppEngine(self.test_context, app_context)
def runTest(self):
self.log.info("Check if Eventserver is alive and running")
r = requests.get(self.eventserver_url())
self.assertDictEqual(r.json(), {"status": "alive"})
self.log.info("Cannot view events with empty accessKey")
r = requests.get(self.eventserver_url(path='events.json'))
self.assertDictEqual(r.json(), {"message": "Missing accessKey."})
self.log.info("Cannot view events with invalid accessKey")
r = requests.get(self.eventserver_url(path='events.json'),
params={'accessKey': ''})
self.assertDictEqual(r.json(), {"message": "Invalid accessKey."})
self.log.info("Adding new pio application")
self.app.new()
self.log.info("No events have been sent yet")
r = self.app.get_events()
self.assertDictEqual(r.json(), {"message": "Not Found"})
# Testing POST
self.log.info("Sending single event")
event1 = {
'event' : 'test',
'entityType' : 'test',
'entityId' : 't1'
}
r = self.app.send_event(event1)
self.assertEqual(201, r.status_code)
self.log.info("Sending batch of events")
r = self.app.send_events_batch(
self.load_events("rate_events_25.json"))
self.assertEqual(200, r.status_code)
self.log.info("Cannot send more than 50 events per batch")
r = self.app.send_events_batch(
self.load_events("signup_events_51.json"))
self.assertEqual(400, r.status_code)
self.log.info("Importing events from file does not have batch size limit")
self.app.import_events_batch(
self.load_events("signup_events_51.json"))
self.log.info("Individual events may fail when sending events as batch")
r = self.app.send_events_batch(
self.load_events("partially_malformed_events.json"))
self.assertEqual(200, r.status_code)
self.assertEqual(201, r.json()[0]['status'])
self.assertEqual(400, r.json()[1]['status'])
# Testing GET for different parameters
params = {'event': 'rate'}
r = self.app.get_events(params=params)
self.assertEqual(20, len(r.json()))
self.assertEqual('rate', r.json()[0]['event'])
params = {
'event': 'rate',
'limit': -1 }
r = self.app.get_events(params=params)
self.assertEqual(25, len(r.json()))
self.assertEqual('rate', r.json()[0]['event'])
params = {
'event': 'rate',
'limit': 10 }
r = self.app.get_events(params=params)
self.assertEqual(10, len(r.json()))
self.assertEqual('rate', r.json()[0]['event'])
params = {
'event': 'rate',
'entityType': 'user',
'entityId': '1' }
r = self.app.get_events(params=params)
self.assertEqual(5, len(r.json()))
self.assertEqual('1', r.json()[0]['entityId'])
params = {
'event': 'rate',
'targetEntityType': 'item',
'targetEntityId': '1' }
r = self.app.get_events(params=params)
self.assertEqual(5, len(r.json()))
self.assertEqual('1', r.json()[0]['targetEntityId'])
params = {
'event': 'rate',
'entityType': 'user',
'entityId': '1',
'startTime': '2014-11-01T09:39:45.618-08:00',
'untilTime': '2014-11-04T09:39:45.618-08:00' }
r = self.app.get_events(params=params)
self.assertEqual(3, len(r.json()))
self.assertEqual('1', r.json()[0]['entityId'])
params = {
'event': 'rate',
'entityType': 'user',
'entityId': '1',
'reversed': 'true' }
r = self.app.get_events(params=params)
self.assertEqual(5, len(r.json()))
event_time = dateutil.parser.parse(r.json()[0]['eventTime']).astimezone(pytz.utc)
self.assertEqual('2014-11-05 17:39:45.618000+00:00', str(event_time))
def tearDown(self):
self.log.info("Deleting all app data")
self.app.delete_data()
self.log.info("Deleting app")
self.app.delete()
def setUp(self):
template_path = pjoin(self.test_context.engine_directory,
"recommendation-engine")
app_context = AppContext(name="MyRecommender", template=template_path)
self.app = AppEngine(self.test_context, app_context)
class EventserverTest(BaseTestCase):
""" Integration test for PredictionIO Eventserver API
Refer to below for further information:
http://predictionio.incubator.apache.org/datacollection/eventmodel/
http://predictionio.incubator.apache.org/datacollection/eventapi/
"""
# Helper methods
def eventserver_url(self, path=None):
url = 'http://{}:{}'.format(self.test_context.es_ip,
self.test_context.es_port)
if path: url += '/{}'.format(path)
return url
def load_events(self, json_file):
file_path = pjoin(self.test_context.data_directory,
'eventserver_test/{}'.format(json_file))
return json.loads(open(file_path).read())
def setUp(self):
template_path = pjoin(self.test_context.engine_directory,
"recommendation-engine")
app_context = AppContext(name="MyRecommender", template=template_path)
self.app = AppEngine(self.test_context, app_context)
def runTest(self):
self.log.info("Check if Eventserver is alive and running")
r = requests.get(self.eventserver_url())
self.assertDictEqual(r.json(), {"status": "alive"})
self.log.info("Cannot view events with empty accessKey")
r = requests.get(self.eventserver_url(path='events.json'))
self.assertDictEqual(r.json(), {"message": "Missing accessKey."})
self.log.info("Cannot view events with invalid accessKey")
r = requests.get(self.eventserver_url(path='events.json'),
params={'accessKey': ''})
self.assertDictEqual(r.json(), {"message": "Invalid accessKey."})
self.log.info("Adding new pio application")
self.app.new()
self.log.info("No events have been sent yet")
r = self.app.get_events()
self.assertDictEqual(r.json(), {"message": "Not Found"})
# Testing POST
self.log.info("Sending single event")
event1 = {'event': 'test', 'entityType': 'test', 'entityId': 't1'}
r = self.app.send_event(event1)
self.assertEqual(201, r.status_code)
self.log.info("Sending batch of events")
r = self.app.send_events_batch(self.load_events("rate_events_25.json"))
self.assertEqual(200, r.status_code)
self.log.info("Cannot send more than 50 events per batch")
r = self.app.send_events_batch(
self.load_events("signup_events_51.json"))
self.assertEqual(400, r.status_code)
self.log.info(
"Importing events from file does not have batch size limit")
self.app.import_events_batch(self.load_events("signup_events_51.json"))
self.log.info(
"Individual events may fail when sending events as batch")
r = self.app.send_events_batch(
self.load_events("partially_malformed_events.json"))
self.assertEqual(200, r.status_code)
self.assertEqual(201, r.json()[0]['status'])
self.assertEqual(400, r.json()[1]['status'])
# Testing GET for different parameters
params = {'event': 'rate'}
r = self.app.get_events(params=params)
self.assertEqual(20, len(r.json()))
self.assertEqual('rate', r.json()[0]['event'])
params = {'event': 'rate', 'limit': -1}
r = self.app.get_events(params=params)
self.assertEqual(25, len(r.json()))
self.assertEqual('rate', r.json()[0]['event'])
params = {'event': 'rate', 'limit': 10}
r = self.app.get_events(params=params)
self.assertEqual(10, len(r.json()))
self.assertEqual('rate', r.json()[0]['event'])
params = {'event': 'rate', 'entityType': 'user', 'entityId': '1'}
r = self.app.get_events(params=params)
self.assertEqual(5, len(r.json()))
self.assertEqual('1', r.json()[0]['entityId'])
params = {
'event': 'rate',
'targetEntityType': 'item',
'targetEntityId': '1'
}
r = self.app.get_events(params=params)
self.assertEqual(5, len(r.json()))
self.assertEqual('1', r.json()[0]['targetEntityId'])
params = {
'event': 'rate',
'entityType': 'user',
'entityId': '1',
'startTime': '2014-11-01T09:39:45.618-08:00',
'untilTime': '2014-11-04T09:39:45.618-08:00'
}
r = self.app.get_events(params=params)
self.assertEqual(3, len(r.json()))
self.assertEqual('1', r.json()[0]['entityId'])
params = {
'event': 'rate',
'entityType': 'user',
'entityId': '1',
'reversed': 'true'
}
r = self.app.get_events(params=params)
self.assertEqual(5, len(r.json()))
event_time = dateutil.parser.parse(
r.json()[0]['eventTime']).astimezone(pytz.utc)
self.assertEqual('2014-11-05 17:39:45.618000+00:00', str(event_time))
def tearDown(self):
self.log.info("Deleting all app data")
self.app.delete_data()
self.log.info("Deleting app")
self.app.delete()
class QuickStartTest(BaseTestCase):
def setUp(self):
self.log.info("Setting up the engine")
template_path = pjoin(
self.test_context.engine_directory, "recommendation-engine")
engine_json_path = pjoin(
self.test_context.data_directory, "quickstart_test/engine.json")
self.training_data_path = pjoin(
self.test_context.data_directory,
"quickstart_test/training_data.txt")
# downloading training data
srun('curl https://raw.githubusercontent.com/apache/spark/master/' \
'data/mllib/sample_movielens_data.txt --create-dirs -o {}'
.format(self.training_data_path))
app_context = AppContext(
name="MyRecommender",
template=template_path,
engine_json_path=engine_json_path)
self.app = AppEngine(self.test_context, app_context)
def runTest(self):
self.log.info("Adding a new application")
self.app.new()
event1 = {
"event" : "rate",
"entityType" : "user",
"entityId" : "u0",
"targetEntityType" : "item",
"targetEntityId" : "i0",
"properties" : {
"rating" : 5
},
"eventTime" : "2014-11-02T09:39:45.618-08:00" }
event2 = {
"event" : "buy",
"entityType" : "user",
"entityId" : "u1",
"targetEntityType" : "item",
"targetEntityId" : "i2",
"eventTime" : "2014-11-10T12:34:56.123-08:00" }
self.log.info("Sending two test events")
self.assertListEqual(
[201, 201],
[self.app.send_event(e).status_code for e in [event1, event2]])
self.log.info("Checking the number of events stored on the server")
r = self.app.get_events()
self.assertEquals(200, r.status_code)
stored_events = r.json()
self.assertEqual(2, len(stored_events))
self.log.info("Importing many events")
new_events = read_events(self.training_data_path)
for ev in new_events:
r = self.app.send_event(ev)
self.assertEqual(201, r.status_code)
self.log.info("Checking the number of events stored on the server after the update")
r = self.app.get_events(params={'limit': -1})
self.assertEquals(200, r.status_code)
stored_events = r.json()
self.assertEquals(len(new_events) + 2, len(stored_events))
self.log.info("Building an engine...")
self.app.build()
self.log.info("Training...")
self.app.train()
self.log.info("Deploying and waiting 15s for it to start...")
self.app.deploy(wait_time=15)
self.log.info("Sending a single query and checking results")
user_query = { "user": 1, "num": 4 }
r = self.app.query(user_query)
self.assertEqual(200, r.status_code)
result = r.json()
self.assertEqual(4, len(result['itemScores']))
def tearDown(self):
self.log.info("Stopping deployed engine")
self.app.stop()
self.log.info("Deleting all related data")
self.app.delete_data()
self.log.info("Removing an app")
self.app.delete()
