def _get_effective_data_type(self, data):
"""
This method returns the data type for the provided data.
- If current data is a simple data type is returned.
- If it is an data type group, we return the first element. Only one element is
necessary since all group elements are the same type.
"""
# first check if current data is a DataTypeGroup
if self.is_data_a_group(data):
data_types = ProjectService.get_datatypes_from_datatype_group(
data.id)
if data_types is not None and len(data_types) > 0:
# Since all objects in a group are the same type it's enough
return ABCAdapter.load_entity_by_gid(data_types[0].gid)
else:
return None
else:
return data
def prepare_group_launch(self, group_gid, step_key, adapter_key, **data):
"""
Recieves as input a group gid and an algorithm given by category and id, along
with data that gives the name of the required input parameter for the algorithm.
Having these generate a range of gid's for all the datatypes in the group and
launch a new operation group.
"""
prj_service = ProjectService()
dt_group = prj_service.get_datatypegroup_by_gid(group_gid)
datatypes = prj_service.get_datatypes_from_datatype_group(dt_group.id)
range_param_name = data['range_param_name']
del data['range_param_name']
data[PARAM_RANGE_1] = range_param_name
data[range_param_name] = ','.join([dt.gid for dt in datatypes])
OperationService().group_operation_launch(
base.get_logged_user().id,
base.get_current_project().id, int(adapter_key), int(step_key),
**data)
redirect_url = self._compute_back_link('operations',
base.get_current_project())
raise cherrypy.HTTPRedirect(redirect_url)
def _get_all_data_types_arr(self, data):
"""
This method builds an array with all data types to be processed later.
- If current data is a simple data type is added to an array.
- If it is an data type group all its children are loaded and added to array.
"""
# first check if current data is a DataTypeGroup
if self.is_data_a_group(data):
data_types = ProjectService.get_datatypes_from_datatype_group(
data.id)
result = []
if data_types is not None and len(data_types) > 0:
for data_type in data_types:
entity = ABCAdapter.load_entity_by_gid(data_type.gid)
result.append(entity)
return result
else:
return [data]
class ProjectStructureTest(TransactionalTestCase):
"""
Test ProjectService methods.
"""
def setUp(self):
"""
Prepare before each test.
"""
self.project_service = ProjectService()
self.flow_service = FlowService()
self.structure_helper = FilesHelper()
self.test_user = TestFactory.create_user()
self.test_project = TestFactory.create_project(self.test_user,
"ProjectStructure")
self.relevant_filter = StaticFiltersFactory.build_datatype_filters(
single_filter=StaticFiltersFactory.RELEVANT_VIEW)
self.full_filter = StaticFiltersFactory.build_datatype_filters(
single_filter=StaticFiltersFactory.FULL_VIEW)
def tearDown(self):
self.delete_project_folders()
# def tearDown(self):
# """
# Remove project folders and clean up database.
# """
# self.clean_database(True)
def test_set_operation_visibility(self):
"""
Check if the visibility for an operation is set correct.
"""
self.__init_algorithmn()
op1 = model.Operation(self.test_user.id, self.test_project.id,
self.algo_inst.id, "")
op1 = dao.store_entity(op1)
self.assertTrue(op1.visible, "The operation should be visible.")
self.project_service.set_operation_and_group_visibility(op1.gid, False)
updated_op = dao.get_operation_by_id(op1.id)
self.assertFalse(updated_op.visible,
"The operation should not be visible.")
def test_set_op_and_group_visibility(self):
"""
When changing the visibility for an operation that belongs to an operation group, we
should also change the visibility for the entire group of operations.
"""
_, group_id = TestFactory.create_group(self.test_user,
subject="test-subject-1")
list_of_operations = dao.get_operations_in_group(group_id)
for operation in list_of_operations:
self.assertTrue(operation.visible,
"The operation should be visible.")
self.project_service.set_operation_and_group_visibility(
list_of_operations[0].gid, False)
operations = dao.get_operations_in_group(group_id)
for operation in operations:
self.assertFalse(operation.visible,
"The operation should not be visible.")
def test_set_op_group_visibility(self):
"""
Tests if the visibility for an operation group is set correct.
"""
_, group_id = TestFactory.create_group(self.test_user,
subject="test-subject-1")
list_of_operations = dao.get_operations_in_group(group_id)
for operation in list_of_operations:
self.assertTrue(operation.visible,
"The operation should be visible.")
op_group = dao.get_operationgroup_by_id(group_id)
self.project_service.set_operation_and_group_visibility(
op_group.gid, False, True)
operations = dao.get_operations_in_group(group_id)
for operation in operations:
self.assertFalse(operation.visible,
"The operation should not be visible.")
def test_is_upload_operation(self):
self.__init_algorithmn()
upload_algo = self._create_algo_for_upload()
op1 = model.Operation(self.test_user.id, self.test_project.id,
self.algo_inst.id, "")
op2 = model.Operation(self.test_user.id, self.test_project.id,
upload_algo.id, "")
operations = dao.store_entities([op1, op2])
is_upload_operation = self.project_service.is_upload_operation(
operations[0].gid)
self.assertFalse(is_upload_operation,
"The operation is not an upload operation.")
is_upload_operation = self.project_service.is_upload_operation(
operations[1].gid)
self.assertTrue(is_upload_operation,
"The operation is an upload operation.")
def test_get_upload_operations(self):
"""
Test get_all when filter is for Upload category.
"""
self.__init_algorithmn()
upload_algo = self._create_algo_for_upload()
project = model.Project("test_proj_2", self.test_user.id, "desc")
project = dao.store_entity(project)
op1 = model.Operation(self.test_user.id, self.test_project.id,
self.algo_inst.id, "")
op2 = model.Operation(self.test_user.id,
project.id,
upload_algo.id,
"",
status=model.STATUS_FINISHED)
op3 = model.Operation(self.test_user.id, self.test_project.id,
upload_algo.id, "")
op4 = model.Operation(self.test_user.id,
self.test_project.id,
upload_algo.id,
"",
status=model.STATUS_FINISHED)
op5 = model.Operation(self.test_user.id,
self.test_project.id,
upload_algo.id,
"",
status=model.STATUS_FINISHED)
operations = dao.store_entities([op1, op2, op3, op4, op5])
upload_operations = self.project_service.get_all_operations_for_uploaders(
self.test_project.id)
self.assertEqual(2, len(upload_operations),
"Wrong number of upload operations.")
upload_ids = [operation.id for operation in upload_operations]
for i in [3, 4]:
self.assertTrue(operations[i].id in upload_ids,
"The operation should be an upload operation.")
for i in [0, 1, 2]:
self.assertFalse(
operations[i].id in upload_ids,
"The operation should not be an upload operation.")
def test_is_datatype_group(self):
"""
Tests if a datatype is group.
"""
_, dt_group_id, first_dt, _ = self._create_datatype_group()
dt_group = dao.get_generic_entity(model.DataTypeGroup, dt_group_id)[0]
is_dt_group = self.project_service.is_datatype_group(dt_group.gid)
self.assertTrue(is_dt_group,
"The datatype should be a datatype group.")
is_dt_group = self.project_service.is_datatype_group(first_dt.gid)
self.assertFalse(is_dt_group,
"The datatype should not be a datatype group.")
def test_count_datatypes_in_group(self):
""" Test that counting dataTypes is correct. Happy flow."""
_, dt_group_id, first_dt, _ = self._create_datatype_group()
count = dao.count_datatypes_in_group(dt_group_id)
self.assertEqual(count, 2)
count = dao.count_datatypes_in_group(first_dt.id)
self.assertEqual(count, 0, "There should be no dataType.")
def test_set_datatype_visibility(self):
"""
Check if the visibility for a datatype is set correct.
"""
#it's a list of 3 elem.
mapped_arrays = self._create_mapped_arrays(self.test_project.id)
for mapped_array in mapped_arrays:
is_visible = dao.get_datatype_by_id(mapped_array[0]).visible
self.assertTrue(is_visible, "The data type should be visible.")
self.project_service.set_datatype_visibility(mapped_arrays[0][2],
False)
for i in xrange(len(mapped_arrays)):
is_visible = dao.get_datatype_by_id(mapped_arrays[i][0]).visible
if not i:
self.assertFalse(is_visible,
"The data type should not be visible.")
else:
self.assertTrue(is_visible, "The data type should be visible.")
def test_set_visibility_for_dt_in_group(self):
"""
Check if the visibility for a datatype from a datatype group is set correct.
"""
_, dt_group_id, first_dt, second_dt = self._create_datatype_group()
self.assertTrue(first_dt.visible, "The data type should be visible.")
self.assertTrue(second_dt.visible, "The data type should be visible.")
self.project_service.set_datatype_visibility(first_dt.gid, False)
db_dt_group = self.project_service.get_datatype_by_id(dt_group_id)
db_first_dt = self.project_service.get_datatype_by_id(first_dt.id)
db_second_dt = self.project_service.get_datatype_by_id(second_dt.id)
self.assertFalse(db_dt_group.visible,
"The data type should be visible.")
self.assertFalse(db_first_dt.visible,
"The data type should not be visible.")
self.assertFalse(db_second_dt.visible,
"The data type should be visible.")
def test_set_visibility_for_group(self):
"""
Check if the visibility for a datatype group is set correct.
"""
_, dt_group_id, first_dt, second_dt = self._create_datatype_group()
dt_group = dao.get_generic_entity(model.DataTypeGroup, dt_group_id)[0]
self.assertTrue(dt_group.visible,
"The data type group should be visible.")
self.assertTrue(first_dt.visible, "The data type should be visible.")
self.assertTrue(second_dt.visible, "The data type should be visible.")
self.project_service.set_datatype_visibility(dt_group.gid, False)
updated_dt_group = self.project_service.get_datatype_by_id(dt_group_id)
updated_first_dt = self.project_service.get_datatype_by_id(first_dt.id)
updated_second_dt = self.project_service.get_datatype_by_id(
second_dt.id)
self.assertFalse(updated_dt_group.visible,
"The data type group should be visible.")
self.assertFalse(updated_first_dt.visible,
"The data type should be visible.")
self.assertFalse(updated_second_dt.visible,
"The data type should be visible.")
def test_getdatatypes_from_dtgroup(self):
"""
Validate that we can retrieve all DTs from a DT_Group
"""
_, dt_group_id, first_dt, second_dt = self._create_datatype_group()
datatypes = self.project_service.get_datatypes_from_datatype_group(
dt_group_id)
self.assertEqual(
len(datatypes), 2,
"There should be 2 datatypes into the datatype group.")
expected_dict = {first_dt.id: first_dt, second_dt.id: second_dt}
actual_dict = {
datatypes[0].id: datatypes[0],
datatypes[1].id: datatypes[1]
}
for key in expected_dict.keys():
expected = expected_dict[key]
actual = actual_dict[key]
self.assertEqual(expected.id, actual.id, "Not the same id.")
self.assertEqual(expected.gid, actual.gid, "Not the same gid.")
self.assertEqual(expected.type, actual.type, "Not the same type.")
self.assertEqual(expected.subject, actual.subject,
"Not the same subject.")
self.assertEqual(expected.state, actual.state,
"Not the same state.")
self.assertEqual(expected.visible, actual.visible,
"The datatype visibility is not correct.")
self.assertEqual(expected.module, actual.module,
"Not the same module.")
self.assertEqual(expected.user_tag_1, actual.user_tag_1,
"Not the same user_tag_1.")
self.assertEqual(expected.invalid, actual.invalid,
"The invalid field value is not correct.")
self.assertEqual(expected.is_nan, actual.is_nan,
"The is_nan field value is not correct.")
def test_get_operations_for_dt(self):
created_ops, datatype_gid = self._create_operations_with_inputs()
operations = self.project_service.get_operations_for_datatype(
datatype_gid, self.relevant_filter)
self.assertEqual(len(operations), 2)
self.assertTrue(
created_ops[0].id in [operations[0].id, operations[1].id],
"Retrieved wrong operations.")
self.assertTrue(
created_ops[2].id in [operations[0].id, operations[1].id],
"Retrieved wrong operations.")
operations = self.project_service.get_operations_for_datatype(
datatype_gid, self.full_filter)
self.assertEqual(len(operations), 4)
ids = [
operations[0].id, operations[1].id, operations[2].id,
operations[3].id
]
for i in range(4):
self.assertTrue(created_ops[i].id in ids,
"Retrieved wrong operations.")
operations = self.project_service.get_operations_for_datatype(
datatype_gid, self.relevant_filter, True)
self.assertEqual(len(operations), 1)
self.assertEqual(created_ops[4].id, operations[0].id,
"Incorrect number of operations.")
operations = self.project_service.get_operations_for_datatype(
datatype_gid, self.full_filter, True)
self.assertEqual(len(operations), 2)
self.assertTrue(
created_ops[4].id in [operations[0].id, operations[1].id],
"Retrieved wrong operations.")
self.assertTrue(
created_ops[5].id in [operations[0].id, operations[1].id],
"Retrieved wrong operations.")
def test_get_operations_for_dt_group(self):
created_ops, dt_group_id = self._create_operations_with_inputs(True)
ops = self.project_service.get_operations_for_datatype_group(
dt_group_id, self.relevant_filter)
self.assertEqual(len(ops), 2)
self.assertTrue(created_ops[0].id in [ops[0].id, ops[1].id],
"Retrieved wrong operations.")
self.assertTrue(created_ops[2].id in [ops[0].id, ops[1].id],
"Retrieved wrong operations.")
ops = self.project_service.get_operations_for_datatype_group(
dt_group_id, self.full_filter)
self.assertEqual(len(ops), 4, "Incorrect number of operations.")
ids = [ops[0].id, ops[1].id, ops[2].id, ops[3].id]
for i in range(4):
self.assertTrue(created_ops[i].id in ids,
"Retrieved wrong operations.")
ops = self.project_service.get_operations_for_datatype_group(
dt_group_id, self.relevant_filter, True)
self.assertEqual(len(ops), 1)
self.assertEqual(created_ops[4].id, ops[0].id,
"Incorrect number of operations.")
ops = self.project_service.get_operations_for_datatype_group(
dt_group_id, self.full_filter, True)
self.assertEqual(len(ops), 2)
self.assertTrue(created_ops[4].id in [ops[0].id, ops[1].id],
"Retrieved wrong operations.")
self.assertTrue(created_ops[5].id in [ops[0].id, ops[1].id],
"Retrieved wrong operations.")
def test_get_inputs_for_operation(self):
algo_group = dao.find_group('tvb_test.adapters.testadapter3',
'TestAdapter3')
algo = dao.get_algorithm_by_group(algo_group.id)
array_wrappers = self._create_mapped_arrays(self.test_project.id)
ids = []
for datatype in array_wrappers:
ids.append(datatype[0])
datatype = dao.get_datatype_by_id(ids[0])
datatype.visible = False
dao.store_entity(datatype)
parameters = json.dumps({
"param_5": "1",
"param_1": array_wrappers[0][2],
"param_2": array_wrappers[1][2],
"param_3": array_wrappers[2][2],
"param_6": "0"
})
operation = model.Operation(self.test_user.id, self.test_project.id,
algo.id, parameters)
operation = dao.store_entity(operation)
inputs = self.project_service.get_datatype_and_datatypegroup_inputs_for_operation(
operation.gid, self.relevant_filter)
self.assertEqual(len(inputs), 2)
self.assertTrue(ids[1] in [inputs[0].id, inputs[1].id],
"Retrieved wrong dataType.")
self.assertTrue(ids[2] in [inputs[0].id, inputs[1].id],
"Retrieved wrong dataType.")
self.assertFalse(ids[0] in [inputs[0].id, inputs[1].id],
"Retrieved wrong dataType.")
inputs = self.project_service.get_datatype_and_datatypegroup_inputs_for_operation(
operation.gid, self.full_filter)
self.assertEqual(len(inputs), 3, "Incorrect number of operations.")
self.assertTrue(ids[0] in [inputs[0].id, inputs[1].id, inputs[2].id],
"Retrieved wrong dataType.")
self.assertTrue(ids[1] in [inputs[0].id, inputs[1].id, inputs[2].id],
"Retrieved wrong dataType.")
self.assertTrue(ids[2] in [inputs[0].id, inputs[1].id, inputs[2].id],
"Retrieved wrong dataType.")
project, dt_group_id, first_dt, _ = self._create_datatype_group()
first_dt.visible = False
dao.store_entity(first_dt)
parameters = json.dumps({"other_param": "_", "param_1": first_dt.gid})
operation = model.Operation(self.test_user.id, project.id, algo.id,
parameters)
operation = dao.store_entity(operation)
inputs = self.project_service.get_datatype_and_datatypegroup_inputs_for_operation(
operation.gid, self.relevant_filter)
self.assertEqual(len(inputs), 0, "Incorrect number of dataTypes.")
inputs = self.project_service.get_datatype_and_datatypegroup_inputs_for_operation(
operation.gid, self.full_filter)
self.assertEqual(len(inputs), 1, "Incorrect number of dataTypes.")
self.assertEqual(inputs[0].id, dt_group_id, "Wrong dataType.")
self.assertTrue(inputs[0].id != first_dt.id, "Wrong dataType.")
def test_get_inputs_for_op_group(self):
"""
Tests method get_datatypes_inputs_for_operation_group.
The DataType inputs will be from a DataType group.
"""
project, dt_group_id, first_dt, second_dt = self._create_datatype_group(
)
first_dt.visible = False
dao.store_entity(first_dt)
second_dt.visible = False
dao.store_entity(second_dt)
op_group = model.OperationGroup(project.id, "group", "range1[1..2]")
op_group = dao.store_entity(op_group)
params_1 = json.dumps({
"param_5": "1",
"param_1": first_dt.gid,
"param_6": "2"
})
params_2 = json.dumps({
"param_5": "1",
"param_4": second_dt.gid,
"param_6": "5"
})
algo_group = dao.find_group('tvb_test.adapters.testadapter3',
'TestAdapter3')
algo = dao.get_algorithm_by_group(algo_group.id)
op1 = model.Operation(self.test_user.id,
project.id,
algo.id,
params_1,
op_group_id=op_group.id)
op2 = model.Operation(self.test_user.id,
project.id,
algo.id,
params_2,
op_group_id=op_group.id)
dao.store_entities([op1, op2])
inputs = self.project_service.get_datatypes_inputs_for_operation_group(
op_group.id, self.relevant_filter)
self.assertEqual(len(inputs), 0)
inputs = self.project_service.get_datatypes_inputs_for_operation_group(
op_group.id, self.full_filter)
self.assertEqual(len(inputs), 1, "Incorrect number of dataTypes.")
self.assertFalse(first_dt.id == inputs[0].id,
"Retrieved wrong dataType.")
self.assertFalse(second_dt.id == inputs[0].id,
"Retrieved wrong dataType.")
self.assertTrue(dt_group_id == inputs[0].id,
"Retrieved wrong dataType.")
first_dt.visible = True
dao.store_entity(first_dt)
inputs = self.project_service.get_datatypes_inputs_for_operation_group(
op_group.id, self.relevant_filter)
self.assertEqual(len(inputs), 1, "Incorrect number of dataTypes.")
self.assertFalse(first_dt.id == inputs[0].id,
"Retrieved wrong dataType.")
self.assertFalse(second_dt.id == inputs[0].id,
"Retrieved wrong dataType.")
self.assertTrue(dt_group_id == inputs[0].id,
"Retrieved wrong dataType.")
inputs = self.project_service.get_datatypes_inputs_for_operation_group(
op_group.id, self.full_filter)
self.assertEqual(len(inputs), 1, "Incorrect number of dataTypes.")
self.assertFalse(first_dt.id == inputs[0].id,
"Retrieved wrong dataType.")
self.assertFalse(second_dt.id == inputs[0].id,
"Retrieved wrong dataType.")
self.assertTrue(dt_group_id == inputs[0].id,
"Retrieved wrong dataType.")
def test_get_inputs_for_op_group_simple_inputs(self):
"""
Tests method get_datatypes_inputs_for_operation_group.
The dataType inputs will not be part of a dataType group.
"""
#it's a list of 3 elem.
array_wrappers = self._create_mapped_arrays(self.test_project.id)
array_wrapper_ids = []
for datatype in array_wrappers:
array_wrapper_ids.append(datatype[0])
datatype = dao.get_datatype_by_id(array_wrapper_ids[0])
datatype.visible = False
dao.store_entity(datatype)
op_group = model.OperationGroup(self.test_project.id, "group",
"range1[1..2]")
op_group = dao.store_entity(op_group)
params_1 = json.dumps({
"param_5": "2",
"param_1": array_wrappers[0][2],
"param_2": array_wrappers[1][2],
"param_6": "7"
})
params_2 = json.dumps({
"param_5": "5",
"param_3": array_wrappers[2][2],
"param_2": array_wrappers[1][2],
"param_6": "6"
})
algo_group = dao.find_group('tvb_test.adapters.testadapter3',
'TestAdapter3')
algo = dao.get_algorithm_by_group(algo_group.id)
op1 = model.Operation(self.test_user.id,
self.test_project.id,
algo.id,
params_1,
op_group_id=op_group.id)
op2 = model.Operation(self.test_user.id,
self.test_project.id,
algo.id,
params_2,
op_group_id=op_group.id)
dao.store_entities([op1, op2])
inputs = self.project_service.get_datatypes_inputs_for_operation_group(
op_group.id, self.relevant_filter)
self.assertEqual(len(inputs), 2)
self.assertFalse(array_wrapper_ids[0] in [inputs[0].id, inputs[1].id],
"Retrieved wrong dataType.")
self.assertTrue(array_wrapper_ids[1] in [inputs[0].id, inputs[1].id],
"Retrieved wrong dataType.")
self.assertTrue(array_wrapper_ids[2] in [inputs[0].id, inputs[1].id],
"Retrieved wrong dataType.")
inputs = self.project_service.get_datatypes_inputs_for_operation_group(
op_group.id, self.full_filter)
self.assertEqual(len(inputs), 3, "Incorrect number of dataTypes.")
self.assertTrue(
array_wrapper_ids[0] in [inputs[0].id, inputs[1].id, inputs[2].id])
self.assertTrue(
array_wrapper_ids[1] in [inputs[0].id, inputs[1].id, inputs[2].id])
self.assertTrue(
array_wrapper_ids[2] in [inputs[0].id, inputs[1].id, inputs[2].id])
def test_remove_datatype(self):
"""
Tests the deletion of a datatype.
"""
#it's a list of 3 elem.
array_wrappers = self._create_mapped_arrays(self.test_project.id)
dt_list = []
for array_wrapper in array_wrappers:
dt_list.append(dao.get_datatype_by_id(array_wrapper[0]))
self.project_service.remove_datatype(self.test_project.id,
dt_list[0].gid)
self._check_if_datatype_was_removed(dt_list[0])
def test_remove_datatype_from_group(self):
"""
Tests the deletion of a datatype group.
"""
project, dt_group_id, first_dt, second_dt = self._create_datatype_group(
)
datatype_group = dao.get_generic_entity(model.DataTypeGroup,
dt_group_id)[0]
self.project_service.remove_datatype(project.id, first_dt.gid)
self._check_if_datatype_was_removed(first_dt)
self._check_if_datatype_was_removed(second_dt)
self._check_if_datatype_was_removed(datatype_group)
self._check_datatype_group_removed(dt_group_id,
datatype_group.fk_operation_group)
def test_remove_datatype_group(self):
"""
Tests the deletion of a datatype group.
"""
project, dt_group_id, first_dt, second_dt = self._create_datatype_group(
)
datatype_group = dao.get_generic_entity(model.DataTypeGroup,
dt_group_id)[0]
self.project_service.remove_datatype(project.id, datatype_group.gid)
self._check_if_datatype_was_removed(first_dt)
self._check_if_datatype_was_removed(second_dt)
self._check_if_datatype_was_removed(datatype_group)
self._check_datatype_group_removed(dt_group_id,
datatype_group.fk_operation_group)
def _create_mapped_arrays(self, project_id):
array_wrappers = self.flow_service.get_available_datatypes(
project_id, "tvb.datatypes.arrays.MappedArray")
self.assertEqual(len(array_wrappers), 0)
algo_group = dao.find_group('tvb_test.adapters.ndimensionarrayadapter',
'NDimensionArrayAdapter')
group, _ = self.flow_service.prepare_adapter(project_id, algo_group)
adapter_instance = self.flow_service.build_adapter_instance(group)
data = {'param_1': 'some value'}
#create 3 data types
self.flow_service.fire_operation(adapter_instance, self.test_user,
project_id, **data)
array_wrappers = self.flow_service.get_available_datatypes(
project_id, "tvb.datatypes.arrays.MappedArray")
self.assertEqual(len(array_wrappers), 1)
self.flow_service.fire_operation(adapter_instance, self.test_user,
project_id, **data)
array_wrappers = self.flow_service.get_available_datatypes(
project_id, "tvb.datatypes.arrays.MappedArray")
self.assertEqual(len(array_wrappers), 2)
self.flow_service.fire_operation(adapter_instance, self.test_user,
project_id, **data)
array_wrappers = self.flow_service.get_available_datatypes(
project_id, "tvb.datatypes.arrays.MappedArray")
self.assertEqual(len(array_wrappers), 3)
return array_wrappers
def _create_operation(self, project_id, algorithm_id):
algorithm = dao.get_algorithm_by_id(algorithm_id)
meta = {
DataTypeMetaData.KEY_SUBJECT: "John Doe",
DataTypeMetaData.KEY_STATE: "RAW"
}
operation = model.Operation(self.test_user.id,
project_id,
algorithm.id,
'test params',
meta=json.dumps(meta),
status="FINISHED",
method_name=ABCAdapter.LAUNCH_METHOD)
return dao.store_entity(operation)
def _create_datatype_group(self):
"""
Creates a project, one DataTypeGroup with 2 DataTypes into the new group.
"""
test_project = TestFactory.create_project(self.test_user, "NewProject")
all_operations = dao.get_filtered_operations(test_project.id, None)
self.assertEqual(len(all_operations), 0,
"There should be no operation.")
datatypes, op_group_id = TestFactory.create_group(
self.test_user, test_project)
dt_group = dao.get_datatypegroup_by_op_group_id(op_group_id)
return test_project, dt_group.id, datatypes[0], datatypes[1]
def _create_operations_with_inputs(self, is_group_parent=False):
"""
Method used for creating a complex tree of operations.
If 'if_group_parent' is True then a new group will be created and one of its entries it will be used as
input for the returned operations.
"""
group_dts, root_op_group_id = TestFactory.create_group(
self.test_user, self.test_project)
if is_group_parent:
datatype_gid = group_dts[0].gid
else:
datatype_gid = ProjectServiceTest._create_value_wrapper(
self.test_user, self.test_project)[1]
parameters = json.dumps({"param_name": datatype_gid})
ops = []
for i in range(4):
ops.append(
TestFactory.create_operation(test_user=self.test_user,
test_project=self.test_project))
if i in [1, 3]:
ops[i].visible = False
ops[i].parameters = parameters
ops[i] = dao.store_entity(ops[i])
#groups
_, ops_group = TestFactory.create_group(self.test_user,
self.test_project)
ops_group = dao.get_operations_in_group(ops_group)
self.assertEqual(2, len(ops_group))
ops_group[0].parameters = parameters
ops_group[0] = dao.store_entity(ops_group[0])
ops_group[1].visible = False
ops_group[1].parameters = parameters
ops_group[1] = dao.store_entity(ops_group[1])
ops.extend(ops_group)
if is_group_parent:
dt_group = dao.get_datatypegroup_by_op_group_id(root_op_group_id)
return ops, dt_group.id
return ops, datatype_gid
def _check_if_datatype_was_removed(self, datatype):
"""
Check if a certain datatype was removed.
"""
try:
dao.get_datatype_by_id(datatype.id)
self.fail("The datatype was not deleted.")
except Exception:
pass
try:
dao.get_operation_by_id(datatype.fk_from_operation)
self.fail("The operation was not deleted.")
except Exception:
pass
def _check_datatype_group_removed(self, datatype_group_id,
operation_groupp_id):
"""
Checks if the DataTypeGroup and OperationGroup was removed.
"""
try:
dao.get_generic_entity(model.DataTypeGroup, datatype_group_id)
self.fail("The DataTypeGroup entity was not removed.")
except Exception:
pass
try:
dao.get_operationgroup_by_id(operation_groupp_id)
self.fail("The OperationGroup entity was not removed.")
except Exception:
pass
def __init_algorithmn(self):
"""
Insert some starting data in the database.
"""
categ1 = model.AlgorithmCategory('one', True)
self.categ1 = dao.store_entity(categ1)
algo = model.AlgorithmGroup("tvb_test.core.services.flowservice_test",
"ValidTestAdapter", categ1.id)
adapter = dao.store_entity(algo)
algo = model.Algorithm(adapter.id,
'ident',
name='',
req_data='',
param_name='',
output='')
self.algo_inst = dao.store_entity(algo)
@staticmethod
def _create_algo_for_upload():
""" Creates a fake algorithm for an upload category. """
category = dao.store_entity(
model.AlgorithmCategory("upload_category", rawinput=True))
algo_group = dao.store_entity(
model.AlgorithmGroup("module", "classname", category.id))
return dao.store_entity(model.Algorithm(algo_group.id, "algo"))