def test_deletion(self):
from aiida.orm.computer import Computer
from aiida.orm import delete_computer, JobCalculation
from aiida.common.exceptions import InvalidOperation
newcomputer = Computer(name="testdeletioncomputer", hostname='localhost',
transport_type='local',
scheduler_type='pbspro',
workdir='/tmp/aiida').store()
# # This should be possible, because nothing is using this computer
delete_computer(newcomputer)
calc_params = {
'computer': self.computer,
'resources': {'num_machines': 1,
'num_mpiprocs_per_machine': 1}
}
_ = JobCalculation(**calc_params).store()
# This should fail, because there is at least a calculation
# using this computer (the one created just above)
with self.assertRaises(InvalidOperation):
delete_computer(self.computer)
def test_1(self):
from aiida.orm import delete_computer
# Creating a folder for the import/export files
temp_folder = tempfile.mkdtemp()
try:
StructureData = DataFactory('structure')
sd = StructureData()
sd.store()
calc = JobCalculation()
calc.set_computer(self.computer)
calc.set_resources({
"num_machines": 1,
"num_mpiprocs_per_machine": 1
})
calc.store()
calc.add_link_from(sd)
pks = [sd.pk, calc.pk]
attrs = {}
for pk in pks:
node = load_node(pk)
attrs[node.uuid] = dict()
for k in node.attrs():
attrs[node.uuid][k] = node.get_attr(k)
filename = os.path.join(temp_folder, "export.tar.gz")
export([calc.dbnode], outfile=filename, silent=True)
self.tearDownClass()
self.setUpClass()
delete_computer(self.computer)
# NOTE: it is better to load new nodes by uuid, rather than assuming
# that they will have the first 3 pks. In fact, a recommended policy in
# databases is that pk always increment, even if you've deleted elements
import_data(filename, silent=True)
for uuid in attrs.keys():
node = load_node(uuid)
for k in node.attrs():
self.assertEquals(attrs[uuid][k], node.get_attr(k))
finally:
# Deleting the created temporary folder
shutil.rmtree(temp_folder, ignore_errors=True)