def build(subject="Datatype Factory User", state="RAW_DATA", project=None):
range_1 = ["row1", [1, 2, 3]]
range_2 = ["row2", [0.1, 0.3, 0.5]]
user = user_factory()
if project is None:
project = project_factory(user)
# Create an algorithm
alg_category = AlgorithmCategory('one', True)
dao.store_entity(alg_category)
ad = Algorithm(IntrospectionRegistry.SIMULATOR_MODULE,
IntrospectionRegistry.SIMULATOR_CLASS, alg_category.id)
algorithm = dao.get_algorithm_by_module(
IntrospectionRegistry.SIMULATOR_MODULE,
IntrospectionRegistry.SIMULATOR_CLASS)
if algorithm is None:
algorithm = dao.store_entity(ad)
# Create meta
meta = {
DataTypeMetaData.KEY_SUBJECT: "Datatype Factory User",
DataTypeMetaData.KEY_STATE: "RAW_DATA"
}
# Create operation
operation = operation_factory(algorithm=algorithm,
test_user=user,
test_project=project,
meta=meta)
group = OperationGroup(
project.id, ranges=[json.dumps(range_1),
json.dumps(range_2)])
group = dao.store_entity(group)
group_ms = OperationGroup(
project.id, ranges=[json.dumps(range_1),
json.dumps(range_2)])
group_ms = dao.store_entity(group_ms)
datatype_group = DataTypeGroup(group,
subject=subject,
state=state,
operation_id=operation.id)
datatype_group = dao.store_entity(datatype_group)
dt_group_ms = DataTypeGroup(group_ms,
subject=subject,
state=state,
operation_id=operation.id)
dao.store_entity(dt_group_ms)
# Now create some data types and add them to group
for range_val1 in range_1[1]:
for range_val2 in range_2[1]:
op = Operation(user.id,
project.id,
algorithm.id,
'test parameters',
meta=json.dumps(meta),
status=STATUS_FINISHED,
range_values=json.dumps({
range_1[0]: range_val1,
range_2[0]: range_val2
}))
op.fk_operation_group = group.id
op = dao.store_entity(op)
datatype = time_series_index_factory(op=op)
datatype.number1 = range_val1
datatype.number2 = range_val2
datatype.fk_datatype_group = datatype_group.id
datatype.operation_id = op.id
dao.store_entity(datatype)
op_ms = Operation(user.id,
project.id,
algorithm.id,
'test parameters',
meta=json.dumps(meta),
status=STATUS_FINISHED,
range_values=json.dumps({
range_1[0]:
range_val1,
range_2[0]:
range_val2
}))
op_ms.fk_operation_group = group_ms.id
op_ms = dao.store_entity(op_ms)
datatype_measure_factory(datatype)
return datatype_group
def build(subject="Datatype Factory User", state="RAW_DATA", project=None):
# TODO This is not real, we miss a ViewModel stored
# there store the name and the (hi, lo, step) value of the range parameters
range_1 = ["row1", [1, 2, 10]]
range_2 = ["row2", [0.1, 0.3, 0.5]]
# there are the actual numbers in the interval
range_values_1 = [1, 3, 5, 7, 9]
range_values_2 = [0.1, 0.4]
user = user_factory()
if project is None:
project = project_factory(user)
algorithm = dao.get_algorithm_by_module(
IntrospectionRegistry.SIMULATOR_MODULE,
IntrospectionRegistry.SIMULATOR_CLASS)
# Create operation
operation = operation_factory(algorithm=algorithm,
test_user=user,
test_project=project)
group = OperationGroup(
project.id, ranges=[json.dumps(range_1),
json.dumps(range_2)])
group = dao.store_entity(group)
group_ms = OperationGroup(
project.id, ranges=[json.dumps(range_1),
json.dumps(range_2)])
group_ms = dao.store_entity(group_ms)
datatype_group = DataTypeGroup(group,
subject=subject,
state=state,
operation_id=operation.id)
datatype_group.no_of_ranges = 2
datatype_group.count_results = 10
datatype_group = dao.store_entity(datatype_group)
dt_group_ms = DataTypeGroup(group_ms,
subject=subject,
state=state,
operation_id=operation.id)
datatype_group.no_of_ranges = 2
datatype_group.count_results = 10
dao.store_entity(dt_group_ms)
# Now create some data types and add them to group
for range_val1 in range_values_1:
for range_val2 in range_values_2:
op = Operation(user.id,
project.id,
algorithm.id,
'test parameters',
status=STATUS_FINISHED,
range_values=json.dumps({
range_1[0]: range_val1,
range_2[0]: range_val2
}))
op.fk_operation_group = group.id
op = dao.store_entity(op)
datatype = time_series_index_factory(op=op)
datatype.number1 = range_val1
datatype.number2 = range_val2
datatype.fk_datatype_group = datatype_group.id
datatype.operation_id = op.id
dao.store_entity(datatype)
op_ms = Operation(user.id,
project.id,
algorithm.id,
'test parameters',
status=STATUS_FINISHED,
range_values=json.dumps({
range_1[0]:
range_val1,
range_2[0]:
range_val2
}))
op_ms.fk_operation_group = group_ms.id
op_ms = dao.store_entity(op_ms)
datatype_measure_factory(datatype, op_ms, dt_group_ms)
return datatype_group
