class GCUpdateTestCase(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
Configuration.MEMMGMT_PRESSURE_FRACTION = 0.01
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(5000, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init, finish
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
uri = URI("host/bsc")
try:
uri.make_persistent()
except:
traceback.print_exc()
from dataclay import getRuntime
getRuntime().close_session()
# Check if object exists
while self.mock.mock.mock_dataclay.objectExists(str(uri.get_object_id())):
print("Waiting... ")
time.sleep(5)
logger.debug("Test OK!")
class ExceptionsTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
from dataclay import getRuntime
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Person
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
p = Person()
p.make_persistent()
# IndexError when we try to access to an invalid index
try:
p.raise_exception()
except IndexError:
print("Expected built-in Exception IndexError")
self.assertTrue(True)
except:
print("Unexpected Exception")
self.assertTrue(False)
logger.debug("Test OK!")
class RemoteCloneTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
# Init source
host = "bsc.es"
web_site = WebSite(host)
web_page = WebPage(host + "/page.html")
web_site.add_web_page(web_page)
web_site.make_persistent()
# Init target
host2 = "bsc2.es"
web_site2 = WebSite(host2)
web_site2.make_persistent()
web_site2.copy_pages(web_site)
self.assertTrue(len(web_site2.pages) == len(web_site.pages))
logger.debug("Test OK!")
class CheckMasterLocationTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__, nodes=2)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Person
from dataclay.commonruntime.Runtime import getRuntime
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
p = Person('foo', 100)
execution_environments = list(getRuntime().get_execution_environments_info().keys())
self.assertTrue(len(execution_environments) > 1)
p.make_persistent(backend_id=execution_environments[0])
p.new_replica(backend_id=execution_environments[1])
self.assertEqual(p.run_remote(execution_environments[0], 'getMyMasterLocation', None), execution_environments[0])
self.assertEqual(p.run_remote(execution_environments[1], 'getMyMasterLocation', None), execution_environments[0])
logger.debug("Test OK!")
class AliasEmptyTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Person
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
alias = ""
# Test make_persistent
object1 = Person(name='Nikola', age=86)
worked = False
try:
object1.make_persistent(alias)
except:
worked = True
finally:
self.assertTrue(worked)
logger.debug("Test OK!")
class GCUpdateTestCase(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
Configuration.MEMMGMT_PRESSURE_FRACTION = 0.01
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
def client_process1(self, q):
try:
from dataclay.api import init, finish
logger.debug('**Starting init 1**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
"""
Test. From now on, the Functional Test itself.
"""
web_sites_ids_str = list()
for i in range(0, 10):
alias = "bsc%s" % str(i)
web_site = WebSite(alias)
try:
web_site.make_persistent(alias=alias)
except:
traceback.print_exc()
web_sites_ids_str.append(str(web_site.get_object_id()))
finish()
q.put(["OK", web_sites_ids_str])
except:
q.put("FAIL")
def client_process2(self, q, web_sites_ids_str):
try:
from dataclay.api import init, finish
logger.debug('**Starting init 2 **')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
for i in range(0, 10):
web_site_2 = WebSite.get_by_alias("bsc%s" % str(i))
self.assertEqual(web_sites_ids_str[i],
str(web_site_2.get_object_id()))
finish()
q.put("OK")
except:
q.put("FAIL")
@pytest.mark.timeout(1000, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
logger.info('**Starting test**')
q = Queue()
p = Process(target=self.client_process1, args=(q, ))
p.start()
result = q.get()
p.join()
self.assertEqual(result[0], "OK")
web_sites_ids_str = result[1]
logger.debug("Restarting dataClay")
self.mock.mock.restartDataClay()
p = Process(target=self.client_process2, args=(q, web_sites_ids_str))
p.start()
result = q.get()
p.join()
self.assertEqual(result, "OK")
logger.info("** Test OK!")
class GCUpdateTestCase(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
""" To force GC, hack memory pressure """
# ToDo: the (...).Configuration is extremely ugly and completely useless
# ToDo: @abarcelo I left it like that because I did not understand previous
# ToDo: ExecutionEnvironmentHeapManager.GC_MEMORY_... usage
Configuration.MEMMGMT_PRESSURE_FRACTION = 0.01
rsrc = resource.RLIMIT_AS
soft, hard = resource.getrlimit(rsrc)
logger.debug('Soft limit starts as :%s', soft)
logger.debug('Hard limit starts as :%s', hard)
kb = 1024
mb = 1024 * kb
gb = 1024 * mb
# resource.setrlimit(rsrc, (-1, hard))
soft, hard = resource.getrlimit(rsrc)
logger.debug('Soft limit changed to :%s', soft)
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
host = "bsc.es"
web_site = WebSite(host + "/foo/bsc.html")
web_site.make_persistent(alias=web_site.uri.host)
cur_host = "volatile_web"
web_page = WebPage(cur_host)
logger.debug("web page oid = %s", web_page.get_object_id())
logger.debug("uri oid = %s", web_page.uri.get_object_id())
web_site.add_web_page(web_page)
""" Sleep enough time to allow GC action """
print("Waiting for GC action...")
time.sleep(5)
""" Modify web page """
web_page.uri.host = "new_volatile_web"
""" Sleep enough time to allow GC action """
print("Waiting for GC action...")
time.sleep(5)
""" Get web page """
self.assertEquals(web_page.uri.host, "new_volatile_web")
logger.debug("Test OK!")
class TypesTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Player, Carrer
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
messi = Player("Leo", "Messi", 30)
messi.add_role("forward")
messi.add_skill("dribbling")
messi_carrer = Carrer()
stats_2016_2017 = dict()
stats_2016_2017["goal"] = 54
stats_2016_2017["presence"] = 52
messi_carrer.add_stat("2016/2017", stats_2016_2017)
messi_carrer.add_team("2016/2017", "Barcelona FC")
messi.add_carrer(messi_carrer)
logger.info("PLAYER %s , ROLES: %s AND SKILLS: %s",
messi.personal_info, messi.roles, messi.skills)
logger.info("PLAYER %s , WITH CARRER STATS %s", messi.personal_info,
messi.carrer.stats)
logger.info("PLAYER %s , PLAYED IN %s", messi.personal_info,
messi.carrer.teams)
d = set()
d.add(1)
d.add(2)
messi.add_test_types(True, 2, "Str", d)
messi.make_persistent()
self.assertTrue(messi.is_persistent)
self.assertTrue(messi.carrer.is_persistent)
logger.info("PLAYER %s , ROLES: %s AND SKILLS: %s",
messi.personal_info, messi.roles, messi.skills)
logger.info("PLAYER %s , WITH CARRER STATS %s", messi.personal_info,
messi.carrer.stats)
logger.info("PLAYER %s , PLAYED IN %s TYPE %s", messi.personal_info,
messi.carrer.teams, type(messi.carrer.teams[0]))
logger.info("TEST TYPES %s %s, %s %s, %s %s, %s %s", type(messi.a),
messi.a, type(messi.b), messi.b, type(messi.c), messi.c,
type(messi.d), messi.d)
logger.debug("Test OK!")
class MakePersistentTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import MissingAttributeConstructor
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
o = MissingAttributeConstructor("String1")
o.assign_missing("String2")
# This should work
o.make_persistent()
# Those are basic and expected to work
self.assertEqual(o.present, "String1")
self.assertEqual(o.missing, "String2")
# Now let's make persistent an object with a missing (but annotated) attribute
o = MissingAttributeConstructor("String3")
o.make_persistent()
self.assertEqual(o.present, "String3")
# this is a design decision of dataClay, not entirely Python compliant
self.assertIsNone(o.missing)
logger.debug("Test OK!")
class VolatileMapRestartTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
def client_process1(self, q):
try:
from dataclay.api import init, finish
logger.info('**Starting init 1**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Mapa, Node
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
try:
m = Mapa.get_by_alias("mapa")
logger.info("Already in the DB")
except Exception:
m = Mapa()
m.make_persistent(alias="mapa")
logger.info(
"Not found, creating Mapa and making it persistent")
# Node with current location added by jetson
# it should be done with get_current_location() in order to get pos1 and pos2
n = Node(1, 1, 1, 1.5, 1.5)
n.make_persistent()
m.add(n)
print("NODE created and added to Mapa")
time.sleep(5)
finish()
q.put("OK")
except:
q.put("FAIL")
def client_process2(self, q):
try:
from dataclay.api import init, finish
logger.info('**Starting init 2**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Mapa, Node
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
m = Mapa.get_by_alias("mapa")
logger.info("Map obtained ")
mapa = m.mapa
logger.info("** Getter of mapa done with num elements: %s" %
str(len(mapa)))
for nid, node in mapa.items():
logger.info("** Found node %s" % str(nid))
finish()
q.put("OK")
except:
q.put("FAIL")
@pytest.mark.timeout(500, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
logger.info('**Starting test**')
q = Queue()
p = Process(target=self.client_process1, args=(q, ))
p.start()
result = q.get()
p.join()
self.assertEqual(result, "OK")
logger.debug("Restarting dataClay")
self.mock.mock.restartDataClay()
p = Process(target=self.client_process2, args=(q, ))
p.start()
result = q.get()
p.join()
self.assertEqual(result, "OK")
logger.info("** Test OK!")
class InitializationTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__, nodes=2)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@unittest.skip(
"skipping test because get_execution_environments_per_locations_for_ds is deprecated"
)
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from dataclay import getRuntime
from dataclay.communication.grpc.messages.common.common_messages_pb2 import LANG_PYTHON, LANG_JAVA
from dataclay.commonruntime.Settings import settings
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
lm_client = getRuntime().ready_clients["@LM"]
python_ees_info = lm_client.get_execution_environments_info(
settings.current_session_id, LANG_PYTHON)
java_ees_info = lm_client.get_execution_environments_info(
settings.current_session_id, LANG_JAVA)
#### WARNING!!!!! get_execution_environments_per_locations_for_ds DEPRECATED!
python_ee_per_loc_for_ds = lm_client.get_execution_environments_per_locations_for_ds(
LANG_PYTHON)
java_ee_per_loc_for_ds = lm_client.get_execution_environments_per_locations_for_ds(
LANG_JAVA)
# Check that EEs are correctly initialized and assigned to the right SL
for py_ee in python_ees_info:
self.assertNotIn(py_ee, java_ees_info.values())
self.assertIn(py_ee, python_ee_per_loc_for_ds.values())
self.assertNotIn(py_ee, java_ee_per_loc_for_ds.values())
for java_ee in java_ees_info:
self.assertNotIn(java_ee, python_ees_info.values())
self.assertIn(java_ee, java_ee_per_loc_for_ds.values())
self.assertNotIn(java_ee, python_ee_per_loc_for_ds.values())
logger.debug("Test OK!")
class VerifyAliasTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Person
from dataclay import getRuntime
from dataclay.commonruntime.Settings import settings
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
lm_client = getRuntime().ready_clients["@LM"]
alias = "test_alias"
# Test make_persistent
person = Person(name='Nikola', age=86)
person.make_persistent(alias)
# Verify object_iD is not null
object_id = person.get_object_id()
self.assertTrue(object_id != None)
# check you can get person by alias without exception
Person.get_by_alias(alias=alias)
# Verify that object is in DB/Cache/Metadata
# TODO: Missing the check on DB
metadata = lm_client.get_metadata_by_oid(settings.current_session_id,
object_id)
alias_cache = getRuntime().alias_cache
self.assertIn(alias, metadata.aliases)
self.assertIn(alias, alias_cache)
# Test delete_alias
Person.delete_alias(alias)
self.assertRaises(Exception, Person.get_by_alias, alias=alias)
# Verify that object is not in DB/Cache/Metadata
metadata = lm_client.get_metadata_by_oid(settings.current_session_id,
object_id)
alias_cache = getRuntime().alias_cache
self.assertNotIn(alias, metadata.aliases)
self.assertNotIn(alias, alias_cache)
logger.debug("Test OK!")
class PickleConsolidate2Test(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
host = "bsc.es"
web_site = WebSite(host)
web_page = WebPage(host + "/page.html")
# Add web_page to web_site and make it persistent
web_site.add_web_page(web_page)
self.assertIs(web_page, web_site.pages[0])
web_site.make_persistent()
self.assertTrue(web_site.is_persistent())
self.assertEqual(len(web_site.get_all_locations()), 1)
self.assertTrue(web_site.uri.is_persistent())
self.assertEqual(len(web_site.uri.get_all_locations()), 1)
# NewVersion for WebSite
version_info, unloaded_version_info = web_site.new_version(
list(web_site.get_all_locations().keys())[0])
logger.debug(version_info)
versionOID = version_info.versionOID
web_site_version = WebSite.get_object_by_id(versionOID)
self.assertNotEqual(web_site.get_object_id(),
web_site_version.get_object_id())
self.assertTrue(web_site_version.is_persistent())
self.assertEqual(len(web_site_version.get_all_locations()), 1)
self.assertTrue(web_site_version.uri.is_persistent())
self.assertEqual(len(web_site_version.uri.get_all_locations()), 1)
web_page_version = web_site_version.pages[0]
self.assertEqual(len(web_site_version.pages), 1)
self.assertNotEqual(web_page.get_object_id(),
web_page_version.get_object_id())
self.assertNotEqual(web_page, web_page_version)
# Remove WebPage to version pages and consolidate
web_site_version.remove_last_web_page()
self.assertEqual(len(web_site_version.pages), 0)
self.assertEqual(len(web_site.pages), 1)
web_site.consolidate_version(unloaded_version_info)
self.assertEqual(len(web_site.pages), 0)
logger.debug("Test OK!")
class ExecuteReplicatedPropertiesTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__, nodes=2)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.replication_class import Person
from dataclay import getRuntime
from dataclay.exceptions.exceptions import DataClayException
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
environments_ids = list(getRuntime().get_execution_environments_info().keys())
environment1_id = environments_ids[0]
self.assertEqual(len(environments_ids), 2)
# When we create a Person object we call the locally set for non-persistent object.__setattr__
p = Person('foo', 100)
r = Person('fat', 200)
p.make_persistent(backend_id=environment1_id)
r.make_persistent(backend_id=environment1_id)
self.assertEqual(p.get_master_location(), environment1_id)
# name is a replicated attribute so the before method should be called before the setter
# When we change the name we call a inMaster setter execute_implementation_aux('__setUpdate__', ...)
p.name = 'aaa'
# When we change the age we call a remote __setUpdate__ on object
r.age = 78
self.assertEqual(r.age, 78)
# Assert that the attribute was properly changed
self.assertEqual(p.name, 'aaa')
# Check that before method was called
self.assertEqual(p.years, 3)
logger.debug("Test OK!")
class VolatilesSimpleTestCase(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
# Test recursive makePersistent without circular dependencies
host = "bsc1.es"
web_site = WebSite(host)
web_site.make_persistent(alias=web_site.uri.host)
uri = URI(host + "/volatilepage.html") # Volatile
web_site.uri = uri # param of setter is volatile
self.assertTrue(uri.is_persistent())
self.assertTrue(web_site.is_persistent())
self.assertTrue(web_site.uri.is_persistent())
# Test recursive with one circular dependency
host = "bsc2.es"
web_page = WebPage(host + "/foo/bsc.html")
web_page.make_persistent(alias=web_page.uri.host)
host = "fsf.org"
web_site = WebSite(host)
web_site.add_web_page(
web_page) # added persistent object to a volatile
web_page.add_link(web_site) # send volatile
self.assertTrue(web_site.is_persistent())
self.assertTrue(web_site.uri.is_persistent())
self.assertTrue(web_page.is_persistent())
self.assertTrue(web_page.uri.is_persistent())
logger.debug("Test OK!")
class TypesTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Player, Carrer
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
messi = Player("Leo", "Messi", 30)
messi.add_role("forward")
messi.add_skill("dribbling")
messi_carrer = Carrer()
stats_2016_2017 = dict()
stats_2016_2017["goal"] = 54
stats_2016_2017["presence"] = 52
messi_carrer.add_stat("2016/2017", stats_2016_2017)
messi_carrer.add_team("2016/2017", "Barcelona FC")
messi.add_carrer(messi_carrer)
messi.add_test_types(True, 2, "Str")
messi.make_persistent()
self.assertTrue(messi.is_persistent)
self.assertTrue(messi.carrer.is_persistent)
# Test NewVersion
version_info, unloaded_version_info = messi.new_version(list(messi.get_all_locations().keys())[0])
logger.debug("Version info are:\n%s", version_info)
versionOID = version_info.versionOID
messi_version = Player.get_object_by_id(versionOID)
logger.debug("New version of messi is:\n%s", messi_version)
# NewVersion ID is different
self.assertNotEqual(messi.get_object_id(), messi_version.get_object_id())
# NewVersion fields are the same of the original
self.assertEqual(messi.a, messi_version.a)
self.assertEqual(messi.b, messi_version.b)
self.assertEqual(messi.c, messi_version.c)
self.assertEqual(messi.skills, messi_version.skills)
self.assertEqual(messi.roles, messi_version.roles)
self.assertEqual(messi.personal_info, messi_version.personal_info)
self.assertEqual(messi.carrer.teams, messi_version.carrer.teams)
self.assertEqual(messi.carrer.stats, messi_version.carrer.stats)
stats_2015_2016 = dict()
stats_2015_2016["goal"] = 41
stats_2015_2016["presence"] = 49
messi_version.carrer.add_team("2015/2016", "Barcelona FC")
messi_version.carrer.add_stat("2015/2016", stats_2015_2016)
self.assertNotEqual(messi.carrer.stats, messi_version.carrer.stats)
self.assertNotEqual(messi.carrer.teams, messi_version.carrer.teams)
self.assertEqual(len(messi.carrer.teams), 1)
self.assertEqual(len(messi_version.carrer.teams), 2)
self.assertEqual(len(messi.carrer.stats), 1)
self.assertEqual(len(messi_version.carrer.stats), 2)
messi.consolidate_version(unloaded_version_info)
self.assertEqual(len(messi.carrer.teams), 2)
self.assertEqual(len(messi.carrer.stats), 2)
logger.debug("Test OK!")
class MakePersistentExtraMethodsTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
# WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
# Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class.
from dataclay.api import init
logger.debug('**Starting init**')
init()
# Imports. Imports must be located here in order to simulate "import" order in a real scenario.
# VERY IMPORTANT: Imports must be located AFTER init
from model.classes import FancyUUMethods
self.session_initialized = True
# Test. From now on, the Functional Test itself.
o = FancyUUMethods(42, "Hello World")
self.assertEqual("%s" % o, "Message[42]: Hello World")
o.make_persistent()
self.assertEqual("%s" % o, "Message[42]: Hello World")
p = FancyUUMethods(42, "Not Hello World")
q = FancyUUMethods(43, "Hello World")
p.make_persistent("p_obj")
q.make_persistent("q_obj")
self.assertEqual(o, p)
self.assertNotEqual(o, q)
self.assertNotEqual(p, q)
p_bis = FancyUUMethods.get_by_alias("p_obj")
q_bis = FancyUUMethods.get_by_alias("q_obj")
self.assertEqual(o, p_bis)
self.assertNotEqual(o, q_bis)
self.assertNotEqual(p_bis, q_bis)
s = set()
s.add(o)
self.assertEqual(len(s), 1)
s.add(p_bis) # this won't add an object because o == p
self.assertEqual(len(s), 1)
s.add(q_bis)
self.assertEqual(len(s), 2)
self.assertIn(o, s)
self.assertIn(p, s) # this works because o == p
self.assertIn(q, s)
logger.debug("Test OK!")
class TypesTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__, nodes=2)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Player, Carrer
from dataclay import getRuntime
from dataclay.DataClayObjProperties import DCLAY_GETTER_PREFIX
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
environments_ids = list(
getRuntime().get_execution_environments_info().keys())
environment1_id = environments_ids[0]
environment2_id = environments_ids[1]
messi = Player("Leo", "Messi", 30)
messi.add_role("forward")
messi.add_skill("dribbling")
messi_carrer = Carrer()
stats_2016_2017 = dict()
stats_2016_2017["goal"] = 54
stats_2016_2017["presence"] = 52
messi_carrer.add_stat("2016/2017", stats_2016_2017)
messi_carrer.add_team("2016/2017", "Barcelona FC")
messi.add_carrer(messi_carrer)
messi.add_test_types(True, 2, "Str")
messi.make_persistent(backend_id=environment1_id)
self.assertTrue(messi.is_persistent)
self.assertTrue(messi.carrer.is_persistent)
messi.new_replica(backend_id=environment2_id)
# Updates locations after replication
messi_locations = messi.get_all_locations()
messi_carrer_locations = messi.carrer.get_all_locations()
# Check that object is replicated
self.assertEqual(len(messi_locations), 2)
self.assertIn(environment1_id, messi_locations)
self.assertIn(environment2_id, messi_locations)
# Check that associated objects are replicated
self.assertIn(environment2_id, messi_carrer_locations)
replicated_messi_carrer = messi.run_remote(
environment2_id, DCLAY_GETTER_PREFIX + 'carrer', None)
replicated_messi_teams = replicated_messi_carrer.run_remote(
environment2_id, DCLAY_GETTER_PREFIX + 'teams', None)
replicated_messi_stats = replicated_messi_carrer.run_remote(
environment2_id, DCLAY_GETTER_PREFIX + 'stats', None)
self.assertEqual(messi.carrer.teams, replicated_messi_teams)
self.assertEqual(messi.carrer.stats, replicated_messi_stats)
logger.info("Messi replicated stats are %s", replicated_messi_stats)
logger.debug("Test OK!")
class addAliasTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Person
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
alias = "my_object"
alias2 = "my_object2"
# Test make_persistent
person = Person(name='Nikola', age=86)
person.make_persistent()
# Verify object_iD is not null
object_id = person.get_object_id()
self.assertTrue(object_id != None)
self.assertRaises(Exception, Person.get_by_alias, alias=alias)
person.make_persistent(alias)
# check you can get person by alias without exception
Person.get_by_alias(alias=alias)
# Get new_person with alias
new_person = Person.get_by_alias(alias)
# Verify result
self.assertTrue(object_id == new_person.get_object_id())
# Test delete_alias
Person.delete_alias(alias)
self.assertRaises(Exception, Person.get_by_alias, alias=alias)
person.make_persistent(alias2)
new_person2 = Person.get_by_alias(alias2)
self.assertTrue(object_id == new_person2.get_object_id())
self.assertTrue(
new_person2.get_object_id() == new_person.get_object_id())
# check you can get person by alias without exception
Person.get_by_alias(alias=alias2)
person.make_persistent(alias)
new_person3 = Person.get_by_alias(alias)
self.assertTrue(object_id == new_person3.get_object_id())
self.assertTrue(
new_person3.get_object_id() == new_person2.get_object_id())
logger.debug("Test OK!")
class UpdateWithReplicaTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__, nodes=2)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
from dataclay import getRuntime
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
environments_ids = list(
getRuntime().get_execution_environments_info().keys())
environment1_id = environments_ids[0]
environment2_id = environments_ids[1]
host = "bsc.es"
web_site = WebSite(host)
web_page = WebPage(host + "/page.html")
# Verify object_iD is not null
object_id = web_site.get_object_id()
self.assertTrue(object_id != None)
web_site.add_web_page(web_page)
web_site.make_persistent(backend_id=environment1_id)
web_site.new_replica(backend_id=environment2_id)
ws_locations = web_site.get_all_locations()
self.assertEqual(len(ws_locations), 2)
# Clone the web_site
web_site_copy = web_site.dc_clone()
self.assertEqual(len(web_site_copy.pages), len(web_site.pages))
nondefaultvalue = "notfoo"
web_site_copy.replyme = nondefaultvalue
# Add a web page to cloned web_site
web_page2 = WebPage(host + "/page2.html")
web_site_copy.add_web_page(web_page2)
# Update original web_site
web_site.dc_update(web_site_copy)
self.assertFalse(web_site_copy.is_persistent())
# Check updates
self.assertEqual(len(web_site_copy.pages), len(web_site.pages))
wrong = False
from dataclay.DataClayObjProperties import DCLAY_GETTER_PREFIX
for ws_location in ws_locations:
value = web_site.run_remote(ws_location,
DCLAY_GETTER_PREFIX + "replyme", None)
if value != nondefaultvalue:
wrong = True
self.assertFalse(wrong)
logger.debug("Test OK!")
class TypesTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__, nodes=2)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@unittest.skip("skipping nested type test")
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.nested_classes import NestedColl
from dataclay import getRuntime
from dataclay.DataClayObjProperties import DCLAY_GETTER_PREFIX
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
environments_ids = list(
getRuntime().get_execution_environments_info().keys())
environment1_id = environments_ids[0]
environment2_id = environments_ids[1]
dict_a = dict()
dict_a["test"] = 1
set_a = set()
set_a.add(1)
main_list = [dict_a, [1, 2, 3, 4, 5], (1, 2, 3, 4, 5), set_a]
self.assertEqual(type(main_list[0]), dict)
self.assertEqual(type(main_list[1]), list)
self.assertEqual(type(main_list[2]), tuple)
self.assertEqual(type(main_list[3]), set)
main_dict = dict()
main_dict["dict"] = dict_a
main_dict["list"] = [1, 2, 3, 4]
main_dict["tuple"] = (1, 2, 3, 4)
main_dict["set"] = set_a
self.assertEqual(type(main_dict["dict"]), dict)
self.assertEqual(type(main_dict["list"]), list)
self.assertEqual(type(main_dict["tuple"]), tuple)
self.assertEqual(type(main_dict["set"]), set)
main_tuple = (dict_a, [1, 2, 3, 4, 5], (1, 2, 3, 4, 5), set_a)
self.assertEqual(type(main_tuple[0]), dict)
self.assertEqual(type(main_tuple[1]), list)
self.assertEqual(type(main_tuple[2]), tuple)
self.assertEqual(type(main_tuple[3]), set)
main_set = set()
main_set.add((1, 2, 3, 4))
main_set.add(1)
main_set.add("a")
self.assertIn(1, main_set)
self.assertIn("a", main_set)
self.assertIn((1, 2, 3, 4), main_set)
nested_coll = NestedColl(main_list, main_dict, main_tuple, main_set)
# Test Persistence
nested_coll.make_persistent(backend_id=environment1_id)
self.assertEqual(main_list, nested_coll.a)
self.assertEqual(main_dict, nested_coll.b)
self.assertEqual(main_tuple, nested_coll.c)
self.assertEqual(main_set, set(nested_coll.d))
# Test Replication
nested_coll.new_replica(backend_id=environment2_id)
nested_coll_locations = nested_coll.get_all_locations()
# Check that object is replicated
self.assertEqual(len(nested_coll_locations), 2)
self.assertIn(environment1_id, nested_coll_locations)
self.assertIn(environment2_id, nested_coll_locations)
replicated_list = nested_coll.run_remote(environment2_id,
DCLAY_GETTER_PREFIX + 'a',
None)
replicated_dict = nested_coll.run_remote(environment2_id,
DCLAY_GETTER_PREFIX + 'b',
None)
replicated_tuple = nested_coll.run_remote(environment2_id,
DCLAY_GETTER_PREFIX + 'c',
None)
replicated_set = nested_coll.run_remote(environment2_id,
DCLAY_GETTER_PREFIX + 'd',
None)
self.assertEqual(replicated_list, nested_coll.a)
self.assertEqual(replicated_dict, nested_coll.b)
self.assertEqual(replicated_tuple, nested_coll.c)
self.assertEqual(replicated_set, nested_coll.d)
# Test Version
version_info, unloaded_version_info = nested_coll.new_version(
environment1_id)
logger.debug("Version info are:\n%s", version_info)
versionOID = version_info.versionOID
nested_coll_version = NestedColl.get_object_by_id(versionOID)
logger.debug("New version of nested_coll is:\n%s", nested_coll_version)
# NewVersion ID is different
self.assertNotEqual(nested_coll.get_object_id(),
nested_coll_version.get_object_id())
# NewVersion fields are the same of the original
self.assertEqual(nested_coll.a, nested_coll_version.a)
self.assertEqual(nested_coll.b, nested_coll_version.b)
self.assertEqual(nested_coll.c, nested_coll_version.c)
self.assertEqual(nested_coll.d, nested_coll_version.d)
# Change fields and check that they are different from the original one
dict_b = dict()
dict_b["version"] = 23
set_b = set()
set_b.add(34)
main_vers_list = [dict_b, [34, 2, 32, 4, 5], (1, 25, 3, 4, 5), set_b]
main_vers_tuple = (dict_b, [1, 2, 35, 4, 5], (1, 2, 3, 42, 5), set_b)
main_vers_dict = dict()
main_vers_dict["vdict"] = dict_b
main_vers_dict["vlist"] = [1, 2, 3, 4, 3]
main_vers_dict["vtuple"] = (4, 2, 3, 4, 2)
main_vers_dict["vset"] = set_b
main_vers_set = set()
main_vers_set.add((2, 4, 6, 3))
main_vers_set.add(3)
main_vers_set.add("c")
nested_coll_version.change_fields(main_vers_list, main_vers_dict,
main_vers_tuple, main_vers_set)
self.assertNotEqual(nested_coll.a, nested_coll_version.a)
self.assertNotEqual(nested_coll.b, nested_coll_version.b)
self.assertNotEqual(nested_coll.c, nested_coll_version.c)
self.assertNotEqual(nested_coll.d, nested_coll_version.d)
nested_coll.consolidate_version(unloaded_version_info)
self.assertEqual(main_vers_list, nested_coll.a)
self.assertEqual(main_vers_dict, nested_coll.b)
self.assertEqual(main_vers_tuple, nested_coll.c)
self.assertEqual(main_vers_set, set(nested_coll.d))
logger.debug("Test OK!")
class GetAllLocationTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
from dataclay import getRuntime
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
host = "bsc.es"
web_site = WebSite(host)
environments_ids = list(getRuntime().get_execution_environments_info().keys())
self.assertEqual(len(environments_ids), 1)
environment1_id = environments_ids[0]
# MakePersistent in location1
web_site.make_persistent(backend_id=environment1_id)
object_id = web_site.get_object_id()
all_locations_ids = list(web_site.get_all_locations().keys())
backend_id = all_locations_ids[0]
# Assert that backend_id of persistent object is environment1
self.assertTrue(web_site.is_persistent())
self.assertIsNotNone(object_id)
self.assertEqual(backend_id, environment1_id)
# All_locations just contain environment1_id
self.assertIn(environment1_id, all_locations_ids)
self.assertEqual(len(all_locations_ids), 1)
logger.debug("Test OK!")
class MoveDoubleTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__, nodes=3)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
from dataclay import getRuntime
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
# Test recursive makePersistent without circular dependencies
host = "bsc.es"
web_site = WebSite(host)
web_page = WebPage(host + "/page.html")
web_site.add_web_page(web_page)
environments_ids = list(
getRuntime().get_execution_environments_info().keys())
environment1_id = environments_ids[0]
environment2_id = environments_ids[1]
environment3_id = environments_ids[2]
self.assertEqual(len(environments_ids), 3)
web_site.make_persistent(alias=web_site.uri.host,
backend_id=environment1_id)
ws_locations = web_site.get_all_locations()
ws_uri_locations = web_site.uri.get_all_locations()
wp_locations = web_page.get_all_locations()
wp_uri_locations = web_page.uri.get_all_locations()
# Check Persistence
self.assertTrue(web_site.is_persistent())
self.assertEqual(len(ws_locations), 1)
self.assertIn(environment1_id, ws_locations)
self.assertTrue(web_site.uri.is_persistent())
self.assertEqual(len(ws_uri_locations), 1)
self.assertIn(environment1_id, ws_uri_locations)
self.assertTrue(web_page.is_persistent())
self.assertEqual(len(wp_locations), 1)
self.assertIn(environment1_id, wp_locations)
self.assertTrue(web_page.uri.is_persistent())
self.assertEqual(len(wp_uri_locations), 1)
self.assertIn(environment1_id, wp_uri_locations)
# Move in the second location
getRuntime().move_object(web_site, environment1_id, environment2_id,
True)
ws_locations = web_site.get_all_locations()
ws_uri_locations = web_site.uri.get_all_locations()
wp_locations = web_page.get_all_locations()
wp_uri_locations = web_page.uri.get_all_locations()
# Check that the object and associated ones are now in the second location
self.assertEqual(len(ws_locations), 1)
self.assertIn(environment2_id, ws_locations)
self.assertEqual(len(ws_uri_locations), 1)
self.assertIn(environment2_id, ws_uri_locations)
self.assertEqual(len(wp_locations), 1)
self.assertIn(environment2_id, wp_locations)
self.assertEqual(len(wp_uri_locations), 1)
self.assertIn(environment2_id, wp_uri_locations)
# Move in the third location
getRuntime().move_object(web_site, environment2_id, environment3_id,
True)
ws_locations = web_site.get_all_locations()
ws_uri_locations = web_site.uri.get_all_locations()
wp_locations = web_page.get_all_locations()
wp_uri_locations = web_page.uri.get_all_locations()
# Check that the object and associated ones are now in the third location
self.assertEqual(len(ws_locations), 1)
self.assertIn(environment3_id, ws_locations)
self.assertEqual(len(ws_uri_locations), 1)
self.assertIn(environment3_id, ws_uri_locations)
self.assertEqual(len(wp_locations), 1)
self.assertIn(environment3_id, wp_locations)
self.assertEqual(len(wp_uri_locations), 1)
self.assertIn(environment3_id, wp_uri_locations)
logger.debug("Test OK!")
class MakePersistentWithStrMethodTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
# WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
# Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class.
from dataclay.api import init
logger.debug('**Starting init**')
init()
# Imports. Imports must be located here in order to simulate "import" order in a real scenario.
# VERY IMPORTANT: Imports must be located AFTER init
from model.classes import HasEqMethod
self.session_initialized = True
# Test. From now on, the Functional Test itself.
o = HasEqMethod(1)
p = HasEqMethod(1)
q = HasEqMethod(1)
r = HasEqMethod(2)
self.assertEqual(o, p)
self.assertEqual(o, q)
self.assertNotEqual(o, r)
o.make_persistent()
# This is triggering something like p == o, which doesn't matter
self.assertEqual(p, o)
# This is triggering something like o == q,
# which will remote call the __eq__ method on a persistent object (o object)
# which will trigger q to become a volatile
# which will as a matter of act make q persistent (not exactly, but close)
self.assertEqual(o, q)
p.make_persistent("alias_p")
# q was persistent , so this silently fails, no alias associated
q.make_persistent("alias_q")
r.make_persistent("alias_r")
self.assertEqual(o, p)
self.assertEqual(o, q)
self.assertNotEqual(o, r)
p_bis = HasEqMethod.get_by_alias("alias_p")
# this fails because q has not been assigned an alias
q_bis = HasEqMethod.get_by_alias("alias_q")
r_bis = HasEqMethod.get_by_alias("alias_r")
self.assertEqual(o, p_bis)
self.assertEqual(o, q_bis)
self.assertNotEqual(o, r_bis)
logger.debug("Test OK!")
class ConsolidateVersionTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import Person
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
# Test makePersistent
person = Person(name='Nikola', age=86)
person.make_persistent(alias="Tesla")
self.assertTrue(person.is_persistent())
# Create newVersion and change name and age of it
for k, v in person.get_all_locations().items():
version_info, unloaded_version_info = person.new_version(k)
versionOID = version_info.versionOID
person_version = Person.get_object_by_id(versionOID)
person_version.name = "Thomas"
person_version.age = 84
# Test ConsolidateVersion
person.consolidate_version(unloaded_version_info)
# Check that fields are consolidated
self.assertEqual(person.name, "Thomas")
self.assertEqual(person.age, 84)
self.assertEqual(Person.get_by_alias("Tesla").name, "Thomas")
self.assertEqual(Person.get_by_alias("Tesla").age, 84)
logger.debug("After Consolidate, new name: %s and new age: %s",
person.name, person.age)
logger.debug("Test OK!")
class ExecuteImplementationTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
host = "bsc.es"
host2 = "bsc.en"
web_site = WebSite(host)
web_page = WebPage(host + "/main.html")
web_page2 = WebPage(host2 + "/who.html")
uri1 = URI(host2 + "/where.html")
uri2 = URI(host + "/why.html")
# Verify object_iD is not null
object_id = web_site.get_object_id()
self.assertIsNotNone(object_id)
# Execute method locally
web_site.add_web_page(web_page)
self.assertTrue(len(web_site.pages) > 0)
# Execute setter and getter locally
web_site.uri = uri1
self.assertEqual(web_site.uri.host, host2)
# Test make_persistent
web_site.make_persistent()
self.assertTrue(web_site.is_persistent())
# Execute method remotely
web_site.add_web_page(web_page2)
self.assertEqual(len(web_site.pages), 2)
# Execute setter and getter locally
web_site.uri = uri2
# Get of get on volatiles cause exception
self.assertEqual(web_site.uri.host, host)
logger.debug("Test OK!")
class MakePersistentTest(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage, URI
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
host = "bsc.es"
web_site = WebSite(host)
web_page = WebPage(host + "/page.html")
web_page2 = WebPage(host + "/page2.html")
# Verify object_iD is not null
object_id = web_site.get_object_id()
self.assertTrue(object_id != None)
web_site.add_web_page(web_page)
self.assertEqual(len(web_site.pages), 1)
# Test make_persistent
web_site.make_persistent(recursive=False)
self.assertTrue(web_site.is_persistent())
# TODO: Test better this
# Add another page after persistence but web_site.uri.host is not persistent
# (See add_we_page method in model/classes.py)
self.assertRaises(Exception, web_site.add_web_page, web_page2)
logger.debug("Test OK!")
class RemoteGetterTestCase(unittest.TestCase):
"""
DataClayMock object for simulation.
"""
mock = SimpleMock()
def setUp(self):
"""
PyUnit function called before every test case.
Starts DataClay simulation in one Python interpreter and one Java VM. This allows us to Debug in a local machine without
dockers and without a full start of DataClay (jars, configurations, ...)
"""
self.mock.setUp(__file__, nodes=2)
def tearDown(self):
"""
Finish all services started for simulation.
"""
self.mock.tearDown()
@pytest.mark.timeout(300, method='thread')
def test(self):
"""Test. note that all test method names must begin with 'test.'"""
"""WARNING: IT IS HIGHLY RECOMMENDED TO HAVE ONE TEST ONLY TO ISOLATE FUNCTIONAL TESTS FROM EACH OTHER. i.e.
Start a new Python Interpreter and JVM for each test. In the end, it means only one test in this class. """
from dataclay.api import init
logger.debug('**Starting init**')
init()
"""
Imports. Imports must be located here in order to simulate "import" order in a real scenario.
VERY IMPORTANT: Imports must be located AFTER init
"""
from model.classes import WebSite, WebPage
from dataclay import getRuntime
self.session_initialized = True
"""
Test. From now on, the Functional Test itself.
"""
execs_info = getRuntime().get_execution_environments_info()
exec_env_info_1 = execs_info[list(execs_info.keys())[0]]
exec_env_info_2 = execs_info[list(execs_info.keys())[1]]
host = "bsc.es"
web_site = WebSite(host)
web_site.make_persistent(alias=web_site.uri.host,
backend_id=exec_env_info_1.dataClayID)
web_page = WebPage(host + "/page.html")
web_page.make_persistent(backend_id=exec_env_info_2.dataClayID)
web_site.add_web_page(web_page)
self.assertTrue(web_site.is_persistent())
self.assertTrue(web_site.uri.is_persistent())
self.assertTrue(web_page.is_persistent()) # volatile is persistent
self.assertTrue(web_page.uri.is_persistent()) # volatile is persistent
logger.debug("Test OK!")
