Add learning api unit test
Add unit test for leanring api Change-Id: I4250cb723712f825c652c96e1e579a50389136fb
This commit is contained in:
parent
5045c6c189
commit
2bc9dcc9c0
|
@ -0,0 +1,316 @@
|
|||
# Copyright (c) 2017 OpenStack Foundation
|
||||
# All Rights Reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License"); you may
|
||||
# not use this file except in compliance with the License. You may obtain
|
||||
# a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
# License for the specific language governing permissions and limitations
|
||||
# under the License.
|
||||
|
||||
import copy
|
||||
import mock
|
||||
import webob
|
||||
|
||||
from meteos.api.openstack import api_version_request as api_version
|
||||
from meteos.api.openstack import wsgi as os_wsgi
|
||||
from meteos.api.v1 import learnings
|
||||
from meteos import context
|
||||
from meteos import test
|
||||
|
||||
|
||||
fake_learning = {"learning": {
|
||||
"id": "e71dbd349248a4187be134e1118cff29fcd6121e",
|
||||
"args": "MTEsMTAsMjAxNiwyLDAsNjcsODA=",
|
||||
"description": "This is a sample job",
|
||||
"name": "example-learning-job",
|
||||
"method": "predict",
|
||||
"status": "creating",
|
||||
"stdout": "1.0",
|
||||
"stderr": "none",
|
||||
"created_at": "2016-11-30T07:16:17.000000",
|
||||
"user_id": "6bd3561e9db3175f07299818ddb46a8ac7c72a12",
|
||||
"project_id": "7a1e6f042f00ac94ec30bb8c6bf5d05b34623832",
|
||||
"model_type": "LinearRegression",
|
||||
"model_id": "27032fe5-cb88-42bc-a753-f6a1359d629e"}}
|
||||
|
||||
result = {"learning": {
|
||||
"id": "e71dbd349248a4187be134e1118cff29fcd6121e",
|
||||
"args": "MTEsMTAsMjAxNiwyLDAsNjcsODA=",
|
||||
"display_description": "This is a sample job",
|
||||
"display_name": "example-learning-job",
|
||||
"learning_id": "b45fb6a9-6f93-4e4b-93ec-0b128927b62d",
|
||||
"method": "predict",
|
||||
"status": "creating",
|
||||
"stdout": "1.0",
|
||||
"stderr": "none",
|
||||
"created_at": "2016-11-30T07:16:17.000000",
|
||||
"user_id": "6bd3561e9db3175f07299818ddb46a8ac7c72a12",
|
||||
"project_id": "7a1e6f042f00ac94ec30bb8c6bf5d05b34623832",
|
||||
"type": "LinearRegression",
|
||||
"model_id": "27032fe5-cb88-42bc-a753-f6a1359d629e"}}
|
||||
|
||||
fakelearning_list = [{
|
||||
"id": "bd14f7f23e01968aba70f0025b85dc15f110abc1",
|
||||
"args": "MTEsMTAsMjAxNiwyLDAsNjcsODA=",
|
||||
"description": "This is second sample job",
|
||||
"name": "second example-learning-job",
|
||||
"learning_id": "c733d48580da2d8ac99a382fab0785becc24cdbb",
|
||||
"method": "predict",
|
||||
"status": "creating",
|
||||
"stdout": "1.0",
|
||||
"stderr": "none",
|
||||
"created_at": "2016-11-30T07:16:17.000000",
|
||||
"user_id": "6bd3561e9db3175f07299818ddb46a8ac7c72a12",
|
||||
"project_id": "7a1e6f042f00ac94ec30bb8c6bf5d05b34623832",
|
||||
"model_type": "LinearRegression",
|
||||
"model_id": "98b28d675d3e2059e4c0d457dc42166aef286d27"},
|
||||
fake_learning['learning']]
|
||||
|
||||
base = 'http://www.meteos.com'
|
||||
project_id = '7a1e6f042f00ac94ec30bb8c6bf5d05b34623832'
|
||||
user_id1 = 'bd14f7f23e01968aba70f0025b85dc15f110abc1'
|
||||
user_id2 = 'e71dbd349248a4187be134e1118cff29fcd6121e'
|
||||
href11 = base + '/v1.1/123/' + project_id + '/learnings/' + user_id1
|
||||
href12 = base + '/123/' + project_id + '/learnings/' + user_id1
|
||||
href21 = base + '/v1.1/123/' + project_id + '/learnings/' + user_id2
|
||||
href22 = base + '/123/' + project_id + '/learnings/' + user_id2
|
||||
|
||||
expect_result = {
|
||||
'learnings': [
|
||||
{
|
||||
"id": "bd14f7f23e01968aba70f0025b85dc15f110abc1",
|
||||
"args": "MTEsMTAsMjAxNiwyLDAsNjcsODA=",
|
||||
"description": "This is second sample job",
|
||||
"name": "second example-learning-job",
|
||||
"method": "predict",
|
||||
"status": "creating",
|
||||
"stdout": "1.0",
|
||||
"stderr": "none",
|
||||
"created_at": "2016-11-30T07:16:17.000000",
|
||||
"user_id": "6bd3561e9db3175f07299818ddb46a8ac7c72a12",
|
||||
"project_id": "7a1e6f042f00ac94ec30bb8c6bf5d05b34623832",
|
||||
"model_id": "98b28d675d3e2059e4c0d457dc42166aef286d27",
|
||||
"type": "LinearRegression",
|
||||
'links': [
|
||||
{
|
||||
'href': href11,
|
||||
'rel': 'self'
|
||||
},
|
||||
{
|
||||
'href': href12,
|
||||
'rel': 'bookmark'
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "e71dbd349248a4187be134e1118cff29fcd6121e",
|
||||
"args": "MTEsMTAsMjAxNiwyLDAsNjcsODA=",
|
||||
"description": "This is a sample job",
|
||||
"name": "example-learning-job",
|
||||
"method": "predict",
|
||||
"status": "creating",
|
||||
"stdout": "1.0",
|
||||
"stderr": "none",
|
||||
"created_at": "2016-11-30T07:16:17.000000",
|
||||
"user_id": "6bd3561e9db3175f07299818ddb46a8ac7c72a12",
|
||||
"project_id": "7a1e6f042f00ac94ec30bb8c6bf5d05b34623832",
|
||||
"model_id": "27032fe5-cb88-42bc-a753-f6a1359d629e",
|
||||
"type": "LinearRegression",
|
||||
'links': [
|
||||
{
|
||||
'href': href21,
|
||||
'rel': 'self'
|
||||
},
|
||||
{
|
||||
'href': href22,
|
||||
'rel': 'bookmark'
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
class FakeExperiment(object):
|
||||
def __init__(self):
|
||||
self.id = "124567890"
|
||||
self.template_id = "1234567890"
|
||||
self.status = 'available'
|
||||
self.cluster_id = 'e1644ac1d86d4836ca26e89258b5aa6e93b9f770'
|
||||
|
||||
|
||||
class FakeTemplate(object):
|
||||
def __init__(self):
|
||||
self.id = "124567890"
|
||||
self.template_id = "1234567890"
|
||||
self.job_template_id = '1234567890'
|
||||
|
||||
|
||||
class FakeModel(object):
|
||||
def __init__(self):
|
||||
self.status = 'available'
|
||||
self.experiment_id = '124567890'
|
||||
self.model_type = "LinearRegression"
|
||||
self.dataset_format = "csv"
|
||||
self.experiment_id = '124567890'
|
||||
|
||||
|
||||
class FakeEngine(object):
|
||||
|
||||
def API(self):
|
||||
return self
|
||||
|
||||
def get_learning(self, context, id):
|
||||
return result['learning']
|
||||
|
||||
def delete_learning(self, context, id):
|
||||
pass
|
||||
|
||||
def get_all_learnings(self, context, search_opts=None,
|
||||
sort_key='created_at', sort_dir='desc'):
|
||||
learnings = copy.deepcopy(fakelearning_list)
|
||||
name = learnings[0]['name']
|
||||
del learnings[0]['name']
|
||||
learnings[0]['display_name'] = name
|
||||
description = learnings[0]['description']
|
||||
del learnings[0]['description']
|
||||
learnings[0]['display_description'] = description
|
||||
name = learnings[1]['name']
|
||||
del learnings[1]['name']
|
||||
learnings[1]['display_name'] = name
|
||||
description = learnings[1]['description']
|
||||
del learnings[1]['description']
|
||||
learnings[1]['display_description'] = description
|
||||
return learnings
|
||||
|
||||
def get_experiment(self, context, experiment_id):
|
||||
return FakeExperiment()
|
||||
|
||||
def get_template(self, context, template_id):
|
||||
return FakeTemplate()
|
||||
|
||||
def get_model(self, context, model_id):
|
||||
return FakeModel()
|
||||
|
||||
def create_learning(self, context, name, description, status, model_id,
|
||||
method, model_type, dataset_format, args, template_id,
|
||||
job_template_id, experiment_id, cluster_id):
|
||||
return {
|
||||
"id": "b45fb6a9-6f93-4e4b-93ec-0b128927b62d",
|
||||
"created_at": "2016-11-30T07:16:17.000000",
|
||||
"status": "creating",
|
||||
"display_name": "example-learning-job",
|
||||
"display_description": "This is a sample job",
|
||||
"user_id": "e6f8dbb55fc8fccb18f4ccb5ed5723a2efc3b025",
|
||||
"project_id": "bd14f7f23e01968aba70f0025b85dc15f110abc1",
|
||||
"stdout": "2",
|
||||
"stderr": "none",
|
||||
"method": "predict",
|
||||
"model_id": "27032fe5-cb88-42bc-a753-f6a1359d629e",
|
||||
"args": "MTEsMTAsMjAxNiwyLDAsNjcsODA="
|
||||
}
|
||||
|
||||
|
||||
class FakeRequest(object):
|
||||
environ = {"meteos.context": context.get_admin_context()}
|
||||
environ['meteos.context'].project_id = ('7a1e6f042f00ac94ec30bb8c6bf5d'
|
||||
'05b34623832')
|
||||
|
||||
GET = {}
|
||||
|
||||
def __init__(self, version=os_wsgi.DEFAULT_API_VERSION):
|
||||
super(FakeRequest, self).__init__()
|
||||
self.api_version_request = api_version.APIVersionRequest(version)
|
||||
self.application_url = 'http://www.meteos.com/v1.1/123'
|
||||
self.params = {}
|
||||
|
||||
|
||||
class LearningTestCase(test.TestCase):
|
||||
"""Test Case for learning."""
|
||||
Controller = learnings.LearningController
|
||||
|
||||
def _setup_stubs(self):
|
||||
self.stub_out('meteos.engine.API',
|
||||
FakeEngine().API)
|
||||
|
||||
def setUp(self):
|
||||
|
||||
self._setup_stubs()
|
||||
|
||||
super(LearningTestCase, self).setUp()
|
||||
self.controller = self.Controller()
|
||||
|
||||
def test_show_learning(self):
|
||||
id = 'e71dbd349248a4187be134e1118cff29fcd6121e'
|
||||
self.req = FakeRequest()
|
||||
result = self.controller.show(self.req, id)
|
||||
expected = copy.deepcopy(fake_learning)
|
||||
del expected['learning']['model_type']
|
||||
self.assertDictMatch(result, expected)
|
||||
|
||||
def test_delete_learning(self):
|
||||
id = 'e71dbd349248a4187be134e1118cff29fcd6121e'
|
||||
self.req = FakeRequest()
|
||||
response = self.controller.delete(self.req, id)
|
||||
self.assertEqual('202 Accepted', response._status)
|
||||
|
||||
def test_index_learning(self):
|
||||
self.req = FakeRequest()
|
||||
result = self.controller.index(self.req)
|
||||
expect = copy.deepcopy(expect_result)
|
||||
del expect['learnings'][0]['user_id']
|
||||
del expect['learnings'][0]['project_id']
|
||||
del expect['learnings'][1]['user_id']
|
||||
del expect['learnings'][1]['project_id']
|
||||
del expect['learnings'][0]['method']
|
||||
del expect['learnings'][1]['method']
|
||||
del expect['learnings'][0]['stderr']
|
||||
del expect['learnings'][1]['stderr']
|
||||
self.assertDictMatch(expect, result)
|
||||
|
||||
def test_detail_learning(self):
|
||||
self.req = FakeRequest()
|
||||
result = self.controller.detail(self.req)
|
||||
expect = copy.deepcopy(expect_result)
|
||||
del expect['learnings'][0]['links']
|
||||
del expect['learnings'][1]['links']
|
||||
del expect['learnings'][0]['type']
|
||||
del expect['learnings'][1]['type']
|
||||
self.assertDictMatch(expect, result)
|
||||
|
||||
def test_create_learning(self):
|
||||
self.req = FakeRequest()
|
||||
fake_body = {
|
||||
"learning": {
|
||||
"args": "MTEsMTAsMjAxNiwyLDAsNjcsODA=",
|
||||
"display_description": "This is a sample job",
|
||||
"display_name": "example-learning-job",
|
||||
"learning_id": "b45fb6a9-6f93-4e4b-93ec-0b128927b62d",
|
||||
"method": "predict",
|
||||
"model_id": "27032fe5-cb88-42bc-a753-f6a1359d629e"
|
||||
}
|
||||
}
|
||||
expect = {
|
||||
"learning": {
|
||||
'status': 'creating',
|
||||
'model_id': '27032fe5-cb88-42bc-a753-f6a1359d629e',
|
||||
'description': 'This is a sample job',
|
||||
'stdout': '2',
|
||||
'args': 'MTEsMTAsMjAxNiwyLDAsNjcsODA=',
|
||||
'id': 'b45fb6a9-6f93-4e4b-93ec-0b128927b62d',
|
||||
'user_id': 'e6f8dbb55fc8fccb18f4ccb5ed5723a2efc3b025',
|
||||
'name': 'example-learning-job',
|
||||
'created_at': '2016-11-30T07:16:17.000000',
|
||||
'stderr': 'none',
|
||||
'project_id': 'bd14f7f23e01968aba70f0025b85dc15f110abc1',
|
||||
'method': 'predict'
|
||||
}
|
||||
}
|
||||
result = self.controller.create(self.req, fake_body)
|
||||
self.assertDictMatch(expect, result)
|
Loading…
Reference in New Issue