class BurstContollerTest(BaseControllersTest):
""" Unit tests for burst_controller """
def setUp(self):
"""
Sets up the environment for testing;
creates a `BurstController`
"""
BaseControllersTest.init(self)
self.burst_c = BurstController()
def tearDown(self):
"""
Cleans up the environment after testing is done
"""
self.cleanup()
self.clean_database()
def test_index(self):
"""
Test that index returns a dict with all required keys. Also check
that the default portlets are populated, with only the first being
the TimeSeries portlet and the rest are empty.
"""
result_dict = self.burst_c.index()
self.assertTrue('burst_list' in result_dict and result_dict['burst_list'] == [])
self.assertTrue('available_metrics' in result_dict and isinstance(result_dict['available_metrics'], list))
self.assertTrue('portletList' in result_dict and isinstance(result_dict['portletList'], list))
self.assertEqual(result_dict[common.KEY_SECTION], "burst")
self.assertTrue('burstConfig' in result_dict and isinstance(result_dict['burstConfig'], BurstConfiguration))
portlets = json.loads(result_dict['selectedPortlets'])
portlet_id = dao.get_portlet_by_identifier("TimeSeries").id
for tab_idx, tab in enumerate(portlets):
for index_in_tab, value in enumerate(tab):
if tab_idx == 0 and index_in_tab == 0:
self.assertEqual(value, [portlet_id, "TimeSeries"])
else:
self.assertEqual(value, [-1, "None"])
self.assertTrue(result_dict['draw_hidden_ranges'])
def test_load_burst_history(self):
"""
Create two burst, load the burst and check that we get back
the same stored bursts.
"""
self._store_burst(self.test_project.id, 'started', {'test': 'test'}, 'burst1')
burst = self._store_burst(self.test_project.id, 'started', {'test': 'test'}, 'burst2')
cherrypy.session[common.KEY_BURST_CONFIG] = burst
result_dict = self.burst_c.load_burst_history()
burst_history = result_dict['burst_list']
self.assertEqual(len(burst_history), 2)
for burst in burst_history:
self.assertTrue(burst.name in ('burst1', 'burst2'))
def test_get_selected_burst(self):
"""
Create burst, add it to session, then check that get_selected_burst
return the same burst. Also check that for an unstored entity we get
back 'None'
"""
burst_entity = BurstConfiguration(self.test_project.id, 'started', {}, 'burst1')
cherrypy.session[common.KEY_BURST_CONFIG] = burst_entity
stored_id = self.burst_c.get_selected_burst()
self.assertEqual(stored_id, 'None')
burst_entity = dao.store_entity(burst_entity)
cherrypy.session[common.KEY_BURST_CONFIG] = burst_entity
stored_id = self.burst_c.get_selected_burst()
self.assertEqual(str(stored_id), str(burst_entity.id))
def test_get_portlet_configurable_interface(self):
"""
Look up that an AdapterConfiguration is returned for the default
portlet configuration, if we look at index (0, 0) where TimeSeries portlet
should be default.
"""
self.burst_c.index()
result = self.burst_c.get_portlet_configurable_interface(0)
self.assertTrue(common.KEY_PARAMETERS_CONFIG in result)
self.assertFalse(result[common.KEY_PARAMETERS_CONFIG])
adapter_config = result['adapters_list']
# Default TimeSeries portlet should be available, so we expect
# adapter_config to be a list of AdapterConfiguration with one element
self.assertEqual(len(adapter_config), 1)
self.assertTrue(isinstance(adapter_config[0], AdapterConfiguration))
def test_portlet_tab_display(self):
"""
Update the default portlet configuration, by storing a TimeSeries
portlet for all postions. Then check that we get the same configuration.
"""
self.burst_c.index()
portlet_id = dao.get_portlet_by_identifier("TimeSeries").id
one_tab = [[portlet_id, "TimeSeries"] for _ in range(NUMBER_OF_PORTLETS_PER_TAB)]
full_tabs = [one_tab for _ in range(BurstConfiguration.nr_of_tabs)]
data = {'tab_portlets_list': json.dumps(full_tabs)}
result = self.burst_c.portlet_tab_display(**data)
selected_portlets = result['portlet_tab_list']
for entry in selected_portlets:
self.assertEqual(entry.id, portlet_id)
def test_get_configured_portlets_no_session(self):
"""
Test that if we have no burst stored in session, an empty
portlet list is reduced.
"""
result = self.burst_c.get_configured_portlets()
self.assertTrue('portlet_tab_list' in result)
self.assertTrue(result['portlet_tab_list'] == [])
def test_get_configured_portlets_default(self):
"""
Check that the default configuration holds one portlet
and it's identifier is 'TimeSeries'.
"""
self.burst_c.index()
result = self.burst_c.get_configured_portlets()
self.assertTrue('portlet_tab_list' in result)
portlets_list = result['portlet_tab_list']
self.assertEqual(len(portlets_list), 1)
self.assertTrue(portlets_list[0].algorithm_identifier == 'TimeSeries')
def test_get_portlet_session_configuration(self):
"""
Test that the default portlet session sonciguration is generated
as expected, with a default TimeSeries portlet and rest empty.
"""
self.burst_c.index()
result = json.loads(self.burst_c.get_portlet_session_configuration())
portlet_id = dao.get_portlet_by_identifier("TimeSeries").id
for tab_idx, tab in enumerate(result):
for index_in_tab, value in enumerate(tab):
if tab_idx == 0 and index_in_tab == 0:
self.assertEqual(value, [portlet_id, "TimeSeries"])
else:
self.assertEqual(value, [-1, "None"])
def test_save_parameters_no_relaunch(self):
"""
Test the save parameters for the default TimeSeries portlet and
pass an empty dictionary as the 'new' data. In this case a relaunch
should not be required.
"""
self.burst_c.index()
self.assertEqual('noRelaunch', self.burst_c.save_parameters(0, portlet_parameters="{}"))
def test_rename_burst(self):
"""
Create and store a burst, then rename it and check that it
works as expected.
"""
burst = self._store_burst(self.test_project.id, 'started', {'test': 'test'}, 'burst1')
self.burst_c.rename_burst(burst.id, "test_new_burst_name")
renamed_burst = dao.get_burst_by_id(burst.id)
self.assertEqual(renamed_burst.name, "test_new_burst_name")
def test_launch_burst(self):
"""
Launch a burst and check that it finishes correctly and before timeout (100)
"""
self.burst_c.index()
connectivity = self._burst_create_connectivity()
launch_params = copy.deepcopy(SIMULATOR_PARAMETERS)
launch_params['connectivity'] = connectivity.gid
launch_params['simulation_length'] = '10'
launch_params = {"simulator_parameters": json.dumps(launch_params)}
burst_id = json.loads(self.burst_c.launch_burst("new", "test_burst", **launch_params))['id']
waited = 1
timeout = 100
burst_config = dao.get_burst_by_id(burst_id)
while burst_config.status == BurstConfiguration.BURST_RUNNING and waited <= timeout:
sleep(0.5)
waited += 0.5
burst_config = dao.get_burst_by_id(burst_config.id)
if waited > timeout:
self.fail("Timed out waiting for simulations to finish.")
if burst_config.status != BurstConfiguration.BURST_FINISHED:
BurstService().stop_burst(burst_config)
self.fail("Burst should have finished successfully.")
def test_load_burst(self):
"""
Test loading and burst and checking you get expected dictionary.
"""
self.burst_c.index()
burst = self._store_burst(self.test_project.id, 'started', {'test': 'test'}, 'burst1')
result = json.loads(self.burst_c.load_burst(burst.id))
self.assertEqual(result["status"], "started")
self.assertEqual(result['group_gid'], None)
self.assertEqual(result['selected_tab'], 0)
def test_load_burst_removed(self):
"""
Add burst to session, then remove burst from database. Try to load
burst and check that it will raise exception and remove it from session.
"""
burst = self._store_burst(self.test_project.id, 'started', {'test': 'test'}, 'burst1')
cherrypy.session[common.KEY_BURST_CONFIG] = burst
burst_id = burst.id
BurstService().cancel_or_remove_burst(burst_id)
self.assertRaises(Exception, self.burst_c.load_burst, burst_id)
self.assertTrue(common.KEY_BURST_CONFIG not in cherrypy.session)
def test_remove_burst_not_session(self):
"""
Test removing a burst that is not the one currently stored in
session. SHould just remove and return a 'done' string.
"""
burst = self._store_burst(self.test_project.id, 'finished', {'test': 'test'}, 'burst1')
cherrypy.session[common.KEY_BURST_CONFIG] = burst
another_burst = self._store_burst(self.test_project.id, 'finished', {'test': 'test'}, 'burst1')
result = self.burst_c.cancel_or_remove_burst(another_burst.id)
self.assertEqual(result, 'done')
def test_remove_burst_in_session(self):
"""
Test that if we remove the burst that is the current one from the
session, we get a 'reset-new' string as result.
"""
burst = self._store_burst(self.test_project.id, 'finished', {'test': 'test'}, 'burst1')
cherrypy.session[common.KEY_BURST_CONFIG] = burst
result = self.burst_c.cancel_or_remove_burst(burst.id)
self.assertEqual(result, 'reset-new')
def _store_burst(self, proj_id, status, sim_config, name):
"""
Create and store a burst entity, for the project given project_id, having the
given status and simulator parames config, under the given name.
"""
burst = BurstConfiguration(proj_id, status, sim_config, name)
burst.prepare_before_save()
return dao.store_entity(burst)
def _burst_create_connectivity(self):
"""
Create a connectivity that will be used in "non-dummy" burst launches (with the actual simulator).
TODO: This is duplicate code from burstservice_test. Should go into the 'generic' DataType factory
once that is done.
"""
meta = {DataTypeMetaData.KEY_SUBJECT: "John Doe", DataTypeMetaData.KEY_STATE: "RAW_DATA"}
algorithm = FlowService().get_algorithm_by_module_and_class(SIMULATOR_MODULE, SIMULATOR_CLASS)
self.operation = model.Operation(self.test_user.id, self.test_project.id, algorithm.id,
json.dumps(''), meta=json.dumps(meta), status=model.STATUS_STARTED)
self.operation = dao.store_entity(self.operation)
storage_path = FilesHelper().get_project_folder(self.test_project, str(self.operation.id))
connectivity = Connectivity(storage_path=storage_path)
connectivity.weights = numpy.ones((74, 74))
connectivity.centres = numpy.ones((74, 3))
adapter_instance = StoreAdapter([connectivity])
OperationService().initiate_prelaunch(self.operation, adapter_instance, {})
return connectivity
class BurstContollerTest(BaseControllersTest):
""" Unit tests for burst_controller """
def setUp(self):
"""
Sets up the environment for testing;
creates a `BurstController`
"""
BaseControllersTest.init(self)
self.burst_c = BurstController()
def tearDown(self):
"""
Cleans up the environment after testing is done
"""
self.cleanup()
self.clean_database()
def test_index(self):
"""
Test that index returns a dict with all required keys. Also check
that the default portlets are populated, with only the first being
the TimeSeries portlet and the rest are empty.
"""
result_dict = self.burst_c.index()
self.assertTrue('burst_list' in result_dict
and result_dict['burst_list'] == [])
self.assertTrue('available_metrics' in result_dict
and isinstance(result_dict['available_metrics'], list))
self.assertTrue('portletList' in result_dict
and isinstance(result_dict['portletList'], list))
self.assertEqual(result_dict[common.KEY_SECTION], "burst")
self.assertTrue(
'burstConfig' in result_dict
and isinstance(result_dict['burstConfig'], BurstConfiguration))
portlets = json.loads(result_dict['selectedPortlets'])
portlet_id = dao.get_portlet_by_identifier("TimeSeries").id
for tab_idx, tab in enumerate(portlets):
for index_in_tab, value in enumerate(tab):
if tab_idx == 0 and index_in_tab == 0:
self.assertEqual(value, [portlet_id, "TimeSeries"])
else:
self.assertEqual(value, [-1, "None"])
self.assertTrue(result_dict['draw_hidden_ranges'])
def test_load_burst_history(self):
"""
Create two burst, load the burst and check that we get back
the same stored bursts.
"""
self._store_burst(self.test_project.id, 'started', {'test': 'test'},
'burst1')
burst = self._store_burst(self.test_project.id, 'started',
{'test': 'test'}, 'burst2')
cherrypy.session[common.KEY_BURST_CONFIG] = burst
result_dict = self.burst_c.load_burst_history()
burst_history = result_dict['burst_list']
self.assertEqual(len(burst_history), 2)
for burst in burst_history:
self.assertTrue(burst.name in ('burst1', 'burst2'))
def test_get_selected_burst(self):
"""
Create burst, add it to session, then check that get_selected_burst
return the same burst. Also check that for an unstored entity we get
back 'None'
"""
burst_entity = BurstConfiguration(self.test_project.id, 'started', {},
'burst1')
cherrypy.session[common.KEY_BURST_CONFIG] = burst_entity
stored_id = self.burst_c.get_selected_burst()
self.assertEqual(stored_id, 'None')
burst_entity = dao.store_entity(burst_entity)
cherrypy.session[common.KEY_BURST_CONFIG] = burst_entity
stored_id = self.burst_c.get_selected_burst()
self.assertEqual(str(stored_id), str(burst_entity.id))
def test_get_portlet_configurable_interface(self):
"""
Look up that an AdapterConfiguration is returned for the default
portlet configuration, if we look at index (0, 0) where TimeSeries portlet
should be default.
"""
self.burst_c.index()
result = self.burst_c.get_portlet_configurable_interface(0)
self.assertTrue(common.KEY_PARAMETERS_CONFIG in result)
self.assertFalse(result[common.KEY_PARAMETERS_CONFIG])
adapter_config = result['adapters_list']
# Default TimeSeries portlet should be available, so we expect
# adapter_config to be a list of AdapterConfiguration with one element
self.assertEqual(len(adapter_config), 1)
self.assertTrue(isinstance(adapter_config[0], AdapterConfiguration))
def test_portlet_tab_display(self):
"""
Update the default portlet configuration, by storing a TimeSeries
portlet for all postions. Then check that we get the same configuration.
"""
self.burst_c.index()
portlet_id = dao.get_portlet_by_identifier("TimeSeries").id
one_tab = [[portlet_id, "TimeSeries"]
for _ in range(NUMBER_OF_PORTLETS_PER_TAB)]
full_tabs = [one_tab for _ in range(BurstConfiguration.nr_of_tabs)]
data = {'tab_portlets_list': json.dumps(full_tabs)}
result = self.burst_c.portlet_tab_display(**data)
selected_portlets = result['portlet_tab_list']
for entry in selected_portlets:
self.assertEqual(entry.id, portlet_id)
def test_get_configured_portlets_no_session(self):
"""
Test that if we have no burst stored in session, an empty
portlet list is reduced.
"""
result = self.burst_c.get_configured_portlets()
self.assertTrue('portlet_tab_list' in result)
self.assertTrue(result['portlet_tab_list'] == [])
def test_get_configured_portlets_default(self):
"""
Check that the default configuration holds one portlet
and it's identifier is 'TimeSeries'.
"""
self.burst_c.index()
result = self.burst_c.get_configured_portlets()
self.assertTrue('portlet_tab_list' in result)
portlets_list = result['portlet_tab_list']
self.assertEqual(len(portlets_list), 1)
self.assertTrue(portlets_list[0].algorithm_identifier == 'TimeSeries')
def test_get_portlet_session_configuration(self):
"""
Test that the default portlet session sonciguration is generated
as expected, with a default TimeSeries portlet and rest empty.
"""
self.burst_c.index()
result = json.loads(self.burst_c.get_portlet_session_configuration())
portlet_id = dao.get_portlet_by_identifier("TimeSeries").id
for tab_idx, tab in enumerate(result):
for index_in_tab, value in enumerate(tab):
if tab_idx == 0 and index_in_tab == 0:
self.assertEqual(value, [portlet_id, "TimeSeries"])
else:
self.assertEqual(value, [-1, "None"])
def test_save_parameters_no_relaunch(self):
"""
Test the save parameters for the default TimeSeries portlet and
pass an empty dictionary as the 'new' data. In this case a relaunch
should not be required.
"""
self.burst_c.index()
self.assertEqual(
'noRelaunch',
self.burst_c.save_parameters(0, portlet_parameters="{}"))
def test_rename_burst(self):
"""
Create and store a burst, then rename it and check that it
works as expected.
"""
burst = self._store_burst(self.test_project.id, 'started',
{'test': 'test'}, 'burst1')
self.burst_c.rename_burst(burst.id, "test_new_burst_name")
renamed_burst = dao.get_burst_by_id(burst.id)
self.assertEqual(renamed_burst.name, "test_new_burst_name")
def test_launch_burst(self):
"""
Launch a burst and check that it finishes correctly and before timeout (100)
"""
self.burst_c.index()
connectivity = self._burst_create_connectivity()
launch_params = copy.deepcopy(SIMULATOR_PARAMETERS)
launch_params['connectivity'] = connectivity.gid
launch_params['simulation_length'] = '10'
launch_params = {"simulator_parameters": json.dumps(launch_params)}
burst_id = json.loads(
self.burst_c.launch_burst("new", "test_burst",
**launch_params))['id']
waited = 1
timeout = 100
burst_config = dao.get_burst_by_id(burst_id)
while burst_config.status == BurstConfiguration.BURST_RUNNING and waited <= timeout:
sleep(0.5)
waited += 0.5
burst_config = dao.get_burst_by_id(burst_config.id)
if waited > timeout:
self.fail("Timed out waiting for simulations to finish.")
if burst_config.status != BurstConfiguration.BURST_FINISHED:
BurstService().stop_burst(burst_config)
self.fail("Burst should have finished successfully.")
def test_load_burst(self):
"""
Test loading and burst and checking you get expected dictionary.
"""
self.burst_c.index()
burst = self._store_burst(self.test_project.id, 'started',
{'test': 'test'}, 'burst1')
result = json.loads(self.burst_c.load_burst(burst.id))
self.assertEqual(result["status"], "started")
self.assertEqual(result['group_gid'], None)
self.assertEqual(result['selected_tab'], 0)
def test_load_burst_removed(self):
"""
Add burst to session, then remove burst from database. Try to load
burst and check that it will raise exception and remove it from session.
"""
burst = self._store_burst(self.test_project.id, 'started',
{'test': 'test'}, 'burst1')
cherrypy.session[common.KEY_BURST_CONFIG] = burst
burst_id = burst.id
BurstService().cancel_or_remove_burst(burst_id)
self.assertRaises(Exception, self.burst_c.load_burst, burst_id)
self.assertTrue(common.KEY_BURST_CONFIG not in cherrypy.session)
def test_remove_burst_not_session(self):
"""
Test removing a burst that is not the one currently stored in
session. SHould just remove and return a 'done' string.
"""
burst = self._store_burst(self.test_project.id, 'finished',
{'test': 'test'}, 'burst1')
cherrypy.session[common.KEY_BURST_CONFIG] = burst
another_burst = self._store_burst(self.test_project.id, 'finished',
{'test': 'test'}, 'burst1')
result = self.burst_c.cancel_or_remove_burst(another_burst.id)
self.assertEqual(result, 'done')
def test_remove_burst_in_session(self):
"""
Test that if we remove the burst that is the current one from the
session, we get a 'reset-new' string as result.
"""
burst = self._store_burst(self.test_project.id, 'finished',
{'test': 'test'}, 'burst1')
cherrypy.session[common.KEY_BURST_CONFIG] = burst
result = self.burst_c.cancel_or_remove_burst(burst.id)
self.assertEqual(result, 'reset-new')
def _store_burst(self, proj_id, status, sim_config, name):
"""
Create and store a burst entity, for the project given project_id, having the
given status and simulator parames config, under the given name.
"""
burst = BurstConfiguration(proj_id, status, sim_config, name)
burst.prepare_before_save()
return dao.store_entity(burst)
def _burst_create_connectivity(self):
"""
Create a connectivity that will be used in "non-dummy" burst launches (with the actual simulator).
TODO: This is duplicate code from burstservice_test. Should go into the 'generic' DataType factory
once that is done.
"""
meta = {
DataTypeMetaData.KEY_SUBJECT: "John Doe",
DataTypeMetaData.KEY_STATE: "RAW_DATA"
}
algorithm, algo_group = FlowService(
).get_algorithm_by_module_and_class(SIMULATOR_MODULE, SIMULATOR_CLASS)
self.operation = model.Operation(self.test_user.id,
self.test_project.id,
algo_group.id,
json.dumps(''),
meta=json.dumps(meta),
status=model.STATUS_STARTED)
self.operation = dao.store_entity(self.operation)
storage_path = FilesHelper().get_project_folder(
self.test_project, str(self.operation.id))
connectivity = Connectivity(storage_path=storage_path)
connectivity.weights = numpy.ones((74, 74))
connectivity.centres = numpy.ones((74, 3))
adapter_instance = StoreAdapter([connectivity])
OperationService().initiate_prelaunch(self.operation, adapter_instance,
{})
return connectivity
class TestFlowContoller(BaseControllersTest):
""" Unit tests for FlowController """
def setup_method(self):
"""
Sets up the environment for testing;
creates a `FlowController`
"""
self.init()
self.flow_c = FlowController()
self.burst_c = BurstController()
self.operation_service = OperationService()
def teardown_method(self):
""" Cleans up the testing environment """
self.cleanup()
self.clean_database()
@pytest.fixture()
def long_burst_launch(self, connectivity_factory):
def build(is_range=False):
self.burst_c.index()
connectivity = connectivity_factory[1]
launch_params = copy.deepcopy(SIMULATOR_PARAMETERS)
launch_params['connectivity'] = dao.get_datatype_by_id(connectivity.id).gid
launch_params['simulation_length'] = '10000'
if is_range:
launch_params['conduction_speed'] = '[10,15,20]'
launch_params[RANGE_PARAMETER_1] = 'conduction_speed'
launch_params = {"simulator_parameters": json.dumps(launch_params)}
burst_id = json.loads(self.burst_c.launch_burst("new", "test_burst", **launch_params))['id']
return dao.get_burst_by_id(burst_id)
return build
def test_context_selected(self):
"""
Remove the project from CherryPy session and check that you are redirected to projects page.
"""
del cherrypy.session[common.KEY_PROJECT]
self._expect_redirect('/project/viewall', self.flow_c.step_analyzers)
def test_valid_step(self):
"""
For all algorithm categories check that a submenu is generated and the result
page has it's title given by category name.
"""
result_dict = self.flow_c.step_analyzers()
assert common.KEY_SUBMENU_LIST in result_dict,\
"Expect to have a submenu with available algorithms for category."
assert result_dict["section_name"] == 'analyze'
def test_step_connectivity(self):
"""
Check that the correct section name and connectivity sub-menu are returned for the connectivity step.
"""
result_dict = self.flow_c.step_connectivity()
assert result_dict['section_name'] == 'connectivity'
assert result_dict['submenu_list'] == self.flow_c.connectivity_submenu
def test_default(self):
"""
Test default method from step controllers. Check that the submit link is ok, that a mainContent
is present in result dict and that the isAdapter flag is set to true.
"""
cherrypy.request.method = "GET"
categories = dao.get_algorithm_categories()
for categ in categories:
algo_groups = dao.get_adapters_from_categories([categ.id])
for algo in algo_groups:
result_dict = self.flow_c.default(categ.id, algo.id)
assert result_dict[common.KEY_SUBMIT_LINK] == '/flow/%i/%i' % (categ.id, algo.id)
assert 'mainContent' in result_dict
assert result_dict['isAdapter']
def test_default_cancel(self):
"""
On cancel we should get a redirect to the back page link.
"""
cherrypy.request.method = "POST"
categories = dao.get_algorithm_categories()
algo_groups = dao.get_adapters_from_categories([categories[0].id])
self._expect_redirect('/project/viewoperations/%i' % self.test_project.id, self.flow_c.default,
categories[0].id, algo_groups[0].id, cancel=True, back_page='operations')
def test_default_invalid_key(self):
"""
Pass invalid keys for adapter and step and check you get redirect to tvb entry
page with error set.
"""
self._expect_redirect('/tvb?error=True', self.flow_c.default, 'invalid', 'invalid')
def test_read_datatype_attribute(self, datatype_with_storage_factory):
"""
Read an attribute from a datatype.
"""
dt = datatype_with_storage_factory("test_subject", "RAW_STATE",
'this is the stored data'.split())
returned_data = self.flow_c.read_datatype_attribute(dt.gid, "string_data")
assert returned_data == '["this", "is", "the", "stored", "data"]'
def test_read_datatype_attribute_method_call(self, datatype_with_storage_factory):
"""
Call method on given datatype.
"""
dt =datatype_with_storage_factory("test_subject", "RAW_STATE",
'this is the stored data'.split())
args = {'length': 101}
returned_data = self.flow_c.read_datatype_attribute(dt.gid, 'return_test_data', **args)
assert returned_data == str(list(range(101)))
def test_get_simple_adapter_interface(self):
adapter = dao.get_algorithm_by_module('tvb.tests.framework.adapters.testadapter1', 'TestAdapter1')
result = self.flow_c.get_simple_adapter_interface(adapter.id)
expected_interface = TestAdapter1().get_input_tree()
assert result['inputList'] == expected_interface
def _wait_for_burst_ops(self, burst_config):
""" sleeps until some operation of the burst is created"""
waited = 1
timeout = 50
operations = dao.get_operations_in_burst(burst_config.id)
while not len(operations) and waited <= timeout:
sleep(1)
waited += 1
operations = dao.get_operations_in_burst(burst_config.id)
operations = dao.get_operations_in_burst(burst_config.id)
return operations
def test_stop_burst_operation(self, long_burst_launch):
burst_config = long_burst_launch
operation = self._wait_for_burst_ops(burst_config)[0]
assert not operation.has_finished
self.flow_c.stop_burst_operation(operation.id, 0, False)
operation = dao.get_operation_by_id(operation.id)
assert operation.status == STATUS_CANCELED
def test_stop_burst_operation_group(self, long_burst_launch):
burst_config = long_burst_launch(True)
operations = self._wait_for_burst_ops(burst_config)
operations_group_id = 0
for operation in operations:
assert not operation.has_finished
operations_group_id = operation.fk_operation_group
self.flow_c.stop_burst_operation(operations_group_id, 1, False)
for operation in operations:
operation = dao.get_operation_by_id(operation.id)
assert operation.status == STATUS_CANCELED
def test_remove_burst_operation(self, long_burst_launch):
burst_config = long_burst_launch
operation = self._wait_for_burst_ops(burst_config)[0]
assert not operation.has_finished
self.flow_c.stop_burst_operation(operation.id, 0, True)
operation = dao.try_get_operation_by_id(operation.id)
assert operation is None
def test_remove_burst_operation_group(self, long_burst_launch):
burst_config = long_burst_launch(True)
operations = self._wait_for_burst_ops(burst_config)
operations_group_id = 0
for operation in operations:
assert not operation.has_finished
operations_group_id = operation.fk_operation_group
self.flow_c.stop_burst_operation(operations_group_id, 1, True)
for operation in operations:
operation = dao.try_get_operation_by_id(operation.id)
assert operation is None
def _launch_test_algo_on_cluster(self, **data):
adapter = TestFactory.create_adapter("tvb.tests.framework.adapters.testadapter1", "TestAdapter1")
algo = adapter.stored_adapter
algo_category = dao.get_category_by_id(algo.fk_category)
operations, _ = self.operation_service.prepare_operations(self.test_user.id, self.test_project.id, algo,
algo_category, {}, **data)
self.operation_service._send_to_cluster(operations, adapter)
return operations
def test_stop_operations(self):
data = {"test1_val1": 5, 'test1_val2': 5}
operations = self._launch_test_algo_on_cluster(**data)
operation = dao.get_operation_by_id(operations[0].id)
assert not operation.has_finished
self.flow_c.stop_operation(operation.id, 0, False)
operation = dao.get_operation_by_id(operation.id)
assert operation.status == STATUS_CANCELED
def test_stop_operations_group(self):
data = {RANGE_PARAMETER_1: "test1_val1", "test1_val1": '5,6,7', 'test1_val2': 5}
operations = self._launch_test_algo_on_cluster(**data)
operation_group_id = 0
for operation in operations:
operation = dao.get_operation_by_id(operation.id)
assert not operation.has_finished
operation_group_id = operation.fk_operation_group
self.flow_c.stop_operation(operation_group_id, 1, False)
for operation in operations:
operation = dao.get_operation_by_id(operation.id)
assert operation.status == STATUS_CANCELED
class FlowContollerTest(BaseControllersTest):
""" Unit tests for FlowController """
def setUp(self):
"""
Sets up the environment for testing;
creates a `FlowController`
"""
self.init()
self.flow_c = FlowController()
self.burst_c = BurstController()
self.operation_service = OperationService()
def tearDown(self):
""" Cleans up the testing environment """
self.cleanup()
self.clean_database()
def test_context_selected(self):
"""
Remove the project from CherryPy session and check that you are redirected to projects page.
"""
del cherrypy.session[common.KEY_PROJECT]
self._expect_redirect('/project/viewall', self.flow_c.step)
def test_invalid_step(self):
"""
Pass an invalid step and make sure we are redirected to tvb start page.
"""
self._expect_redirect('/tvb', self.flow_c.step)
def test_valid_step(self):
"""
For all algorithm categories check that a submenu is generated and the result
page has it's title given by category name.
"""
categories = dao.get_algorithm_categories()
for categ in categories:
result_dict = self.flow_c.step(categ.id)
self.assertTrue(common.KEY_SUBMENU_LIST in result_dict,
"Expect to have a submenu with available algorithms for category.")
self.assertEqual(result_dict["section_name"], categ.displayname.lower())
def test_step_connectivity(self):
"""
Check that the correct section name and connectivity sub-menu are returned for the connectivity step.
"""
result_dict = self.flow_c.step_connectivity()
self.assertEqual(result_dict['section_name'], 'connectivity')
self.assertEqual(result_dict['submenu_list'], self.flow_c.connectivity_submenu)
def test_default(self):
"""
Test default method from step controllers. Check that the submit link is ok, that a mainContent
is present in result dict and that the isAdapter flag is set to true.
"""
cherrypy.request.method = "GET"
categories = dao.get_algorithm_categories()
for categ in categories:
algo_groups = dao.get_groups_by_categories([categ.id])
for algo in algo_groups:
result_dict = self.flow_c.default(categ.id, algo.id)
self.assertEqual(result_dict[common.KEY_SUBMIT_LINK], '/flow/%i/%i' % (categ.id, algo.id))
self.assertTrue('mainContent' in result_dict)
self.assertTrue(result_dict['isAdapter'])
def test_default_cancel(self):
"""
On cancel we should get a redirect to the back page link.
"""
cherrypy.request.method = "POST"
categories = dao.get_algorithm_categories()
algo_groups = dao.get_groups_by_categories([categories[0].id])
self._expect_redirect('/project/viewoperations/%i' % self.test_project.id, self.flow_c.default,
categories[0].id, algo_groups[0].id, cancel=True, back_page='operations')
def test_default_invalid_key(self):
"""
Pass invalid keys for adapter and step and check you get redirect to tvb entry
page with error set.
"""
self._expect_redirect('/tvb?error=True', self.flow_c.default, 'invalid', 'invalid')
def test_read_datatype_attribute(self):
"""
Read an attribute from a datatype.
"""
dt = DatatypesFactory().create_datatype_with_storage("test_subject", "RAW_STATE",
'this is the stored data'.split())
returned_data = self.flow_c.read_datatype_attribute(dt.gid, "string_data")
self.assertEqual(returned_data, '["this", "is", "the", "stored", "data"]')
def test_read_datatype_attribute_method_call(self):
"""
Call method on given datatype.
"""
dt = DatatypesFactory().create_datatype_with_storage("test_subject", "RAW_STATE",
'this is the stored data'.split())
args = {'length': 101}
returned_data = self.flow_c.read_datatype_attribute(dt.gid, 'return_test_data', **args)
self.assertTrue(returned_data == str(range(101)))
def test_get_simple_adapter_interface(self):
adapter = dao.find_group('tvb.tests.framework.adapters.testadapter1', 'TestAdapter1')
result = self.flow_c.get_simple_adapter_interface(adapter.id)
expected_interface = TestAdapter1().get_input_tree()
self.assertEqual(result['inputList'], expected_interface)
def _long_burst_launch(self, is_range=False):
self.burst_c.index()
connectivity = DatatypesFactory().create_connectivity()[1]
launch_params = copy.deepcopy(SIMULATOR_PARAMETERS)
launch_params['connectivity'] = dao.get_datatype_by_id(connectivity.id).gid
if not is_range:
launch_params['simulation_length'] = '10000'
else:
launch_params['simulation_length'] = '[10000,10001,10002]'
launch_params[model.RANGE_PARAMETER_1] = 'simulation_length'
launch_params = {"simulator_parameters": json.dumps(launch_params)}
burst_id = json.loads(self.burst_c.launch_burst("new", "test_burst", **launch_params))['id']
return dao.get_burst_by_id(burst_id)
def _wait_for_burst_ops(self, burst_config):
""" sleeps until some operation of the burst is created"""
waited = 1
timeout = 50
operations = dao.get_operations_in_burst(burst_config.id)
while not len(operations) and waited <= timeout:
sleep(1)
waited += 1
operations = dao.get_operations_in_burst(burst_config.id)
operations = dao.get_operations_in_burst(burst_config.id)
return operations
def test_stop_burst_operation(self):
burst_config = self._long_burst_launch()
operation = self._wait_for_burst_ops(burst_config)[0]
self.assertFalse(operation.has_finished)
self.flow_c.stop_burst_operation(operation.id, 0, False)
operation = dao.get_operation_by_id(operation.id)
self.assertEqual(operation.status, model.STATUS_CANCELED)
def test_stop_burst_operation_group(self):
burst_config = self._long_burst_launch(True)
operations = self._wait_for_burst_ops(burst_config)
operations_group_id = 0
for operation in operations:
self.assertFalse(operation.has_finished)
operations_group_id = operation.fk_operation_group
self.flow_c.stop_burst_operation(operations_group_id, 1, False)
for operation in operations:
operation = dao.get_operation_by_id(operation.id)
self.assertEqual(operation.status, model.STATUS_CANCELED)
def test_remove_burst_operation(self):
burst_config = self._long_burst_launch()
operation = self._wait_for_burst_ops(burst_config)[0]
self.assertFalse(operation.has_finished)
self.flow_c.stop_burst_operation(operation.id, 0, True)
operation = dao.try_get_operation_by_id(operation.id)
self.assertTrue(operation is None)
def test_remove_burst_operation_group(self):
burst_config = self._long_burst_launch(True)
operations = self._wait_for_burst_ops(burst_config)
operations_group_id = 0
for operation in operations:
self.assertFalse(operation.has_finished)
operations_group_id = operation.fk_operation_group
self.flow_c.stop_burst_operation(operations_group_id, 1, True)
for operation in operations:
operation = dao.try_get_operation_by_id(operation.id)
self.assertTrue(operation is None)
def _launch_test_algo_on_cluster(self, **data):
module = "tvb.tests.framework.adapters.testadapter1"
class_name = "TestAdapter1"
group = dao.find_group(module, class_name)
adapter = FlowService().build_adapter_instance(group)
algo_group = adapter.algorithm_group
algo_category = dao.get_category_by_id(algo_group.fk_category)
algo = dao.get_algorithm_by_group(algo_group.id)
operations, _ = self.operation_service.prepare_operations(self.test_user.id, self.test_project.id, algo,
algo_category, {}, ABCAdapter.LAUNCH_METHOD, **data)
self.operation_service._send_to_cluster(operations, adapter)
return operations
def test_stop_operations(self):
data = {"test1_val1": 5, 'test1_val2': 5}
operations = self._launch_test_algo_on_cluster(**data)
operation = dao.get_operation_by_id(operations[0].id)
self.assertFalse(operation.has_finished)
self.flow_c.stop_operation(operation.id, 0, False)
operation = dao.get_operation_by_id(operation.id)
self.assertEqual(operation.status, model.STATUS_CANCELED)
def test_stop_operations_group(self):
data = {model.RANGE_PARAMETER_1: "test1_val1", "test1_val1": '5,6,7', 'test1_val2': 5}
operations = self._launch_test_algo_on_cluster(**data)
operation_group_id = 0
for operation in operations:
operation = dao.get_operation_by_id(operation.id)
self.assertFalse(operation.has_finished)
operation_group_id = operation.fk_operation_group
self.flow_c.stop_operation(operation_group_id, 1, False)
for operation in operations:
operation = dao.get_operation_by_id(operation.id)
self.assertEqual(operation.status, model.STATUS_CANCELED)