def populate_restapi_database(clear_database_before_test):
"""Populates the database with a considerable set of nodes to test the restAPI"""
# pylint: disable=unused-argument
from aiida import orm
struct_forcif = orm.StructureData().store()
orm.StructureData().store()
orm.StructureData().store()
orm.Dict().store()
orm.Dict().store()
orm.CifData(ase=struct_forcif.get_ase()).store()
orm.KpointsData().store()
orm.FolderData().store()
orm.CalcFunctionNode().store()
orm.CalcJobNode().store()
orm.CalcJobNode().store()
orm.WorkFunctionNode().store()
orm.WorkFunctionNode().store()
orm.WorkChainNode().store()
def test_get_process_function_report(self):
"""Test the `get_process_function_report` utility."""
from aiida.cmdline.utils.common import get_process_function_report
warning = 'You have been warned'
node = orm.CalcFunctionNode()
node.store()
# Add a log message through the logger
node.logger.warning(warning)
self.assertIn(warning, get_process_function_report(node))
def create_provenance(self):
"""create an example provenance graph
"""
pd0 = orm.Dict()
pd0.label = 'pd0'
pd0.store()
pd1 = orm.Dict()
pd1.label = 'pd1'
pd1.store()
wc1 = orm.WorkChainNode()
wc1.set_process_state(ProcessState.RUNNING)
wc1.add_incoming(pd0,
link_type=LinkType.INPUT_WORK,
link_label='input1')
wc1.add_incoming(pd1,
link_type=LinkType.INPUT_WORK,
link_label='input2')
wc1.store()
calc1 = orm.CalcJobNode()
calc1.computer = self.computer
calc1.set_option('resources', {
'num_machines': 1,
'num_mpiprocs_per_machine': 1
})
calc1.label = 'calc1'
calc1.set_process_state(ProcessState.FINISHED)
calc1.set_exit_status(0)
calc1.add_incoming(pd0,
link_type=LinkType.INPUT_CALC,
link_label='input1')
calc1.add_incoming(pd1,
link_type=LinkType.INPUT_CALC,
link_label='input2')
calc1.add_incoming(wc1,
link_type=LinkType.CALL_CALC,
link_label='call1')
calc1.store()
rd1 = orm.RemoteData()
rd1.label = 'rd1'
rd1.set_remote_path('/x/y.py')
rd1.computer = self.computer
rd1.store()
rd1.add_incoming(calc1, link_type=LinkType.CREATE, link_label='output')
pd2 = orm.Dict()
pd2.label = 'pd2'
pd2.store()
calcf1 = orm.CalcFunctionNode()
calcf1.label = 'calcf1'
calcf1.set_process_state(ProcessState.FINISHED)
calcf1.set_exit_status(200)
calcf1.add_incoming(rd1,
link_type=LinkType.INPUT_CALC,
link_label='input1')
calcf1.add_incoming(pd2,
link_type=LinkType.INPUT_CALC,
link_label='input2')
calcf1.add_incoming(wc1,
link_type=LinkType.CALL_CALC,
link_label='call2')
calcf1.store()
pd3 = orm.Dict()
pd3.label = 'pd3'
fd1 = orm.FolderData()
fd1.label = 'fd1'
pd3.add_incoming(calcf1,
link_type=LinkType.CREATE,
link_label='output1')
pd3.store()
fd1.add_incoming(calcf1,
link_type=LinkType.CREATE,
link_label='output2')
fd1.store()
pd3.add_incoming(wc1, link_type=LinkType.RETURN, link_label='output1')
fd1.add_incoming(wc1, link_type=LinkType.RETURN, link_label='output2')
return AttributeDict({
'pd0': pd0,
'pd1': pd1,
'calc1': calc1,
'rd1': rd1,
'pd2': pd2,
'calcf1': calcf1,
'pd3': pd3,
'fd1': fd1,
'wc1': wc1
})
def setUpClass(cls, *args, **kwargs): # pylint: disable=too-many-locals, too-many-statements
"""
Basides the standard setup we need to add few more objects in the
database to be able to explore different requests/filters/orderings etc.
"""
# call parent setUpClass method
super(RESTApiTestCase, cls).setUpClass()
# connect the app and the api
# Init the api by connecting it the the app (N.B. respect the following
# order, api.__init__)
kwargs = dict(PREFIX=cls._url_prefix,
PERPAGE_DEFAULT=cls._PERPAGE_DEFAULT,
LIMIT_DEFAULT=cls._LIMIT_DEFAULT)
cls.app = App(__name__)
cls.app.config['TESTING'] = True
AiidaApi(cls.app, **kwargs)
# create test inputs
cell = ((2., 0., 0.), (0., 2., 0.), (0., 0., 2.))
structure = orm.StructureData(cell=cell)
structure.append_atom(position=(0., 0., 0.), symbols=['Ba'])
structure.store()
structure.add_comment('This is test comment.')
structure.add_comment('Add another comment.')
cif = orm.CifData(ase=structure.get_ase())
cif.store()
parameter1 = orm.Dict(dict={'a': 1, 'b': 2})
parameter1.store()
parameter2 = orm.Dict(dict={'c': 3, 'd': 4})
parameter2.store()
kpoint = orm.KpointsData()
kpoint.set_kpoints_mesh([4, 4, 4])
kpoint.store()
resources = {'num_machines': 1, 'num_mpiprocs_per_machine': 1}
calcfunc = orm.CalcFunctionNode(computer=cls.computer)
calcfunc.store()
calc = orm.CalcJobNode(computer=cls.computer)
calc.set_option('resources', resources)
calc.set_attribute('attr1', 'OK')
calc.set_attribute('attr2', 'OK')
calc.set_extra('extra1', False)
calc.set_extra('extra2', 'extra_info')
calc.add_incoming(structure,
link_type=LinkType.INPUT_CALC,
link_label='link_structure')
calc.add_incoming(parameter1,
link_type=LinkType.INPUT_CALC,
link_label='link_parameter')
aiida_in = 'The input file\nof the CalcJob node'
# Add the calcjob_inputs folder with the aiida.in file to the CalcJobNode repository
with tempfile.NamedTemporaryFile(mode='w+') as handle:
handle.write(aiida_in)
handle.flush()
handle.seek(0)
calc.put_object_from_filelike(handle,
key='calcjob_inputs/aiida.in',
force=True)
calc.store()
# create log message for calcjob
import logging
from aiida.common.log import LOG_LEVEL_REPORT
from aiida.common.timezone import now
from aiida.orm import Log
log_record = {
'time': now(),
'loggername': 'loggername',
'levelname': logging.getLevelName(LOG_LEVEL_REPORT),
'dbnode_id': calc.id,
'message': 'This is a template record message',
'metadata': {
'content': 'test'
},
}
Log(**log_record)
aiida_out = 'The output file\nof the CalcJob node'
retrieved_outputs = orm.FolderData()
# Add the calcjob_outputs folder with the aiida.out file to the FolderData node
with tempfile.NamedTemporaryFile(mode='w+') as handle:
handle.write(aiida_out)
handle.flush()
handle.seek(0)
retrieved_outputs.put_object_from_filelike(
handle, key='calcjob_outputs/aiida.out', force=True)
retrieved_outputs.store()
retrieved_outputs.add_incoming(calc,
link_type=LinkType.CREATE,
link_label='retrieved')
kpoint.add_incoming(calc,
link_type=LinkType.CREATE,
link_label='create')
calc1 = orm.CalcJobNode(computer=cls.computer)
calc1.set_option('resources', resources)
calc1.store()
dummy_computers = [{
'name': 'test1',
'hostname': 'test1.epfl.ch',
'transport_type': 'ssh',
'scheduler_type': 'pbspro',
}, {
'name': 'test2',
'hostname': 'test2.epfl.ch',
'transport_type': 'ssh',
'scheduler_type': 'torque',
}, {
'name': 'test3',
'hostname': 'test3.epfl.ch',
'transport_type': 'local',
'scheduler_type': 'slurm',
}, {
'name': 'test4',
'hostname': 'test4.epfl.ch',
'transport_type': 'ssh',
'scheduler_type': 'slurm',
}]
for dummy_computer in dummy_computers:
computer = orm.Computer(**dummy_computer)
computer.store()
# Prepare typical REST responses
cls.process_dummy_data()
