Esempio n. 1
0
    def _test_success(self):
        print('Testing cube:', self.cube.name)
        # Complex file name

        # File name
        ifs = oechem.oeifstream(os.path.join(FILE_DIR, "pbace_lcat13a.oedb"))

        for record in read_records(ifs):

            mdrecord = MDDataRecord(record)

            stages = mdrecord.get_stages
            self.assertEqual(len(stages), 1)

            mdstate = mdrecord.get_stage_state()
            parmed_structure = mdrecord.get_parmed(sync_stage_name='last')

            # Calculate the initial potential energy
            eng_i = calculate_eng(mdstate, parmed_structure)

        # Process the molecules
        self.cube.process(record, self.cube.intake.name)

        # Assert that one molecule was emitted on the success port
        self.assertEqual(self.runner.outputs['success'].qsize(), 1)
        # Assert that zero molecules were emitted on the failure port
        self.assertEqual(self.runner.outputs['failure'].qsize(), 0)

        # Check out the output record
        record = self.runner.outputs["success"].get()

        mdrecord = MDDataRecord(record)

        stages = mdrecord.get_stages
        self.assertEqual(len(stages), 2)

        mdstate = mdrecord.get_stage_state()
        parmed_structure = mdrecord.get_parmed(sync_stage_name='last')

        # Calculate the final potential energy
        eng_f = calculate_eng(mdstate, parmed_structure)

        self.assertLess(eng_f, eng_i)
Esempio n. 2
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    def test_set_parmed(self):
        new_record = OERecord(self.record)
        new_mdrecord = MDDataRecord(new_record)

        pmd = new_mdrecord.get_parmed()

        new_mdrecord.delete_field(Fields.pmd_structure)
        self.assertFalse(new_mdrecord.has_parmed)

        new_mdrecord.set_parmed(pmd, sync_stage_name='last')
        self.assertTrue(new_mdrecord.has_parmed)
Esempio n. 3
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    def _test_success(self):
        print('Testing cube:', self.cube.name)

        # File name
        ifs = oechem.oeifstream(
            os.path.join(FILE_DIR, "pP38_lig38a_2n_npt_5ns.oedb"))

        for record in read_records(ifs):
            pass

        # Process the molecules
        self.cube.process(record, self.cube.intake.name)

        # Assert that one molecule was emitted on the success port
        self.assertEqual(self.runner.outputs['success'].qsize(), 1)
        # Assert that zero molecules were emitted on the failure port
        self.assertEqual(self.runner.outputs['failure'].qsize(), 0)

        # Check out the output record
        record = self.runner.outputs["success"].get()

        mdrecord = MDDataRecord(record)

        stages = mdrecord.get_stages
        self.assertEqual(len(stages), 3)

        mdstate = mdrecord.get_stage_state()
        parmed_structure = mdrecord.get_parmed(sync_stage_name='last')

        # Calculate final volume and temperature
        vol_f, temp_f = calculate_VT(mdstate, parmed_structure)

        # Check 3*std volume
        # Average volume and its standard deviation (in nm^3) measured along
        # one 5ns run for the selected system

        avg_volume = 632.4198167 * (unit.nanometers**3)
        std_volume = 1.201609662

        self.assertAlmostEqual(avg_volume / (unit.nanometers**3),
                               vol_f.in_units_of(unit.nanometers**3) /
                               (unit.nanometers**3),
                               delta=3 * std_volume)

        # Check temperature
        # Average temperature and its standard deviation (in K) measured along
        # one 5ns run for the selected system
        avg_temperature = 299.9852145 * unit.kelvin
        std_temperature = 2.021052471
        self.assertAlmostEqual(avg_temperature / unit.kelvin,
                               temp_f.in_units_of(unit.kelvin) / unit.kelvin,
                               delta=3 * std_temperature)
Esempio n. 4
0
class MDRecordTests(unittest.TestCase):
    """
    Testing MD Record API
    """
    def setUp(self):
        fname = os.path.join(FILE_DIR, "mdrecord.oedb")
        ifs = oechem.oeifstream(fname)
        records = []

        for record in read_records(ifs):
            records.append(record)

        self.assertEqual(len(records), 1)

        self.record = OERecord(records[0])

        self.mdrecord = MDDataRecord(records[0])

        self.cwd = os.getcwd()

        os.chdir(FILE_DIR)

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_primary(self):
        mol = self.mdrecord.get_value(Fields.primary_molecule)
        self.assertEqual(mol.NumAtoms(), self.mdrecord.get_primary.NumAtoms())

    @pytest.mark.travis
    @pytest.mark.local
    def test_set_primary(self):
        mol = self.mdrecord.get_value(Fields.primary_molecule)
        self.assertTrue(self.mdrecord.set_primary(mol))

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_flask(self):
        mol = self.mdrecord.get_value(Fields.flask)
        self.assertEqual(mol.NumAtoms(), self.mdrecord.get_flask.NumAtoms())

    @pytest.mark.travis
    @pytest.mark.local
    def test_set_flask(self):
        mol = self.mdrecord.get_value(Fields.flask)
        self.assertTrue(self.mdrecord.set_flask(mol))

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_flaskid(self):
        id = self.mdrecord.get_value(Fields.flaskid)
        self.assertEqual(id, 0)

    @pytest.mark.travis
    @pytest.mark.local
    def test_has_flaskid(self):
        self.assertTrue(self.mdrecord.has_flask_id)

    @pytest.mark.travis
    @pytest.mark.local
    def test_set_flaskid(self):
        self.mdrecord.set_flask_id(5)
        self.assertEqual(self.mdrecord.get_flask_id, 5)

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_lig_id(self):
        id = self.mdrecord.get_value(Fields.ligid)
        self.assertEqual(id, 0)

    @pytest.mark.travis
    @pytest.mark.local
    def test_has_lig_id(self):
        self.assertTrue(self.mdrecord.has_lig_id)

    @pytest.mark.travis
    @pytest.mark.local
    def test_set_lig_id(self):
        self.mdrecord.set_lig_id(5)
        self.assertEqual(self.mdrecord.get_lig_id, 5)

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_conf_id(self):
        id = self.mdrecord.get_value(Fields.confid)
        self.assertEqual(id, 0)

    @pytest.mark.travis
    @pytest.mark.local
    def test_has_conf_id(self):
        self.assertTrue(self.mdrecord.has_conf_id)

    @pytest.mark.travis
    @pytest.mark.local
    def test_set_conf_id(self):
        self.mdrecord.set_conf_id(5)
        self.assertEqual(self.mdrecord.get_conf_id, 5)

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_title(self):
        title = self.mdrecord.get_value(Fields.title)
        self.assertEqual(title, 'pPRT_ltoluene')

    @pytest.mark.travis
    @pytest.mark.local
    def test_has_tile(self):
        self.assertTrue(self.mdrecord.has_title)

    @pytest.mark.travis
    @pytest.mark.local
    def test_set_title(self):
        self.mdrecord.set_title("Pippo")
        self.assertEqual(self.mdrecord.get_title, 'Pippo')

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_last_stage(self):
        last_stage = self.mdrecord.get_last_stage
        self.assertEqual(last_stage.get_value(Fields.stage_name), 'Production')
        self.assertEqual(last_stage.get_value(Fields.stage_type), 'NPT')

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_stage_by_name(self):
        last_stage = self.mdrecord.get_stage_by_name()
        self.assertEqual(last_stage.get_value(Fields.stage_name), 'Production')
        self.assertEqual(last_stage.get_value(Fields.stage_type), 'NPT')

        param_stage = self.mdrecord.get_stage_by_name(
            stg_name='System Parametrization')
        self.assertEqual(param_stage.get_value(Fields.stage_name),
                         'System Parametrization')
        self.assertEqual(param_stage.get_value(Fields.stage_type), 'SETUP')

        param_stage = self.mdrecord.get_stage_by_name(
            stg_name='System Minimization')
        self.assertEqual(param_stage.get_value(Fields.stage_name),
                         'System Minimization')
        self.assertEqual(param_stage.get_value(Fields.stage_type),
                         'MINIMIZATION')

        with self.assertRaises(ValueError):
            self.mdrecord.get_stage_by_name('Error')

    # @pytest.mark.local
    # def test_delete_stage_by_name(self):
    #     new_record = OERecord(self.record)
    #     new_mdrecord = MDDataRecord(new_record)
    #
    #     new_mdrecord.delete_stage_by_name(stg_name='System Minimization')
    #     self.assertFalse(new_mdrecord.has_stage_name('System Minimization'))
    #     self.assertEqual(len(new_mdrecord.get_stages), 2)

    # TODO THIS IS GOING TO DELETE FILES LOCALLY KEEP DISABLED
    @pytest.mark.travis
    @pytest.mark.local
    def test_has_stage_name(self):
        self.assertTrue(self.mdrecord.has_stage_name('Production'))
        self.assertFalse(self.mdrecord.has_stage_name('Error'))

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_stage_by_idx(self):
        with self.assertRaises(ValueError):
            self.mdrecord.get_stage_by_idx(5)
        self.assertEqual(
            self.mdrecord.get_stage_by_idx(0).get_value(Fields.stage_name),
            'System Parametrization')

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_stage_state(self):

        last_stage = self.mdrecord.get_last_stage

        mddata_fn = os.path.join(FILE_DIR, last_stage.get_value(Fields.mddata))

        with TemporaryDirectory() as out_directory:

            with tarfile.open(mddata_fn) as tar:
                tar.extractall(path=out_directory)

            state_fn = os.path.join(out_directory, MDFileNames.state)

            with open(state_fn, 'rb') as f:
                md_state = pickle.load(f)

        self.assertEqual(md_state.get_positions(),
                         self.mdrecord.get_stage_state().get_positions())
        self.assertEqual(md_state.get_velocities(),
                         self.mdrecord.get_stage_state().get_velocities())
        self.assertEqual(md_state.get_box_vectors(),
                         self.mdrecord.get_stage_state().get_box_vectors())

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_stage_topology(self):

        par_stage = self.mdrecord.get_stage_by_idx(0)

        mddata_fn = os.path.join(FILE_DIR, par_stage.get_value(Fields.mddata))

        with TemporaryDirectory() as out_directory:

            with tarfile.open(mddata_fn) as tar:
                tar.extractall(path=out_directory)

            topology_fn = os.path.join(out_directory, MDFileNames.topology)

            topology_mol = oechem.OEMol()

            with oechem.oemolistream(topology_fn) as ifs:
                oechem.OEReadMolecule(ifs, topology_mol)

        topology = self.mdrecord.get_stage_topology(
            stg_name='System Parametrization')

        for mol_at, top_at in zip(topology_mol.GetAtoms(),
                                  topology.GetAtoms()):
            self.assertEqual(mol_at.GetAtomicNum(), top_at.GetAtomicNum())

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_stage_info(self):
        last_stage = self.mdrecord.get_last_stage
        info = last_stage.get_value(Fields.log_data)

        self.assertEqual(info, self.mdrecord.get_stage_info())

        min_stage = self.mdrecord.get_stage_by_name(
            stg_name='System Minimization')
        info = min_stage.get_value(Fields.log_data)

        self.assertEqual(
            info, self.mdrecord.get_stage_info(stg_name='System Minimization'))

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_stage_trajectory(self):
        self.assertTrue(os.path.isfile(self.mdrecord.get_stage_trajectory()))

    @pytest.mark.travis
    @pytest.mark.local
    def test_add_new_stage(self):
        new_record = OERecord(self.record)
        new_mdrecord = MDDataRecord(new_record)

        topology = self.mdrecord.get_stage_topology()
        md_state = self.mdrecord.get_stage_state()

        self.assertTrue(
            new_mdrecord.add_new_stage("Testing",
                                       MDStageTypes.FEC,
                                       topology,
                                       md_state,
                                       "test.tar.gz",
                                       log='TestingLogs'))

        self.assertEqual(len(new_mdrecord.get_value(Fields.md_stages)), 4)
        new_last_stage = new_mdrecord.get_stage_by_name(stg_name='Testing')

        self.assertEqual(new_last_stage.get_value(Fields.stage_name),
                         'Testing')
        self.assertEqual(new_last_stage.get_value(Fields.stage_type),
                         MDStageTypes.FEC)

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_stages(self):
        stages = self.mdrecord.get_stages
        self.assertEqual(len(stages), 3)

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_stages_names(self):
        ls_names = [
            'System Parametrization', 'System Minimization', 'Production'
        ]
        stg_names = self.mdrecord.get_stages_names
        self.assertEqual(stg_names, ls_names)

    @pytest.mark.travis
    @pytest.mark.local
    def test_has_stages(self):
        self.assertTrue(self.mdrecord.has_stages)

    @pytest.mark.travis
    @pytest.mark.local
    def test_get_parmed(self):
        pmd = self.mdrecord.get_parmed(sync_stage_name='last')
        self.assertEqual(len(pmd.atoms), 30439)
        self.assertEqual((len(pmd.residues)), 9446)
        self.assertEqual((len(pmd.bonds)), 21178)
        self.assertEqual((len(pmd.angles)), 14069)
        self.assertEqual((len(pmd.dihedrals)), 8028)

    @pytest.mark.travis
    @pytest.mark.local
    def test_set_parmed(self):
        new_record = OERecord(self.record)
        new_mdrecord = MDDataRecord(new_record)

        pmd = new_mdrecord.get_parmed()

        new_mdrecord.delete_field(Fields.pmd_structure)
        self.assertFalse(new_mdrecord.has_parmed)

        new_mdrecord.set_parmed(pmd, sync_stage_name='last')
        self.assertTrue(new_mdrecord.has_parmed)

    @pytest.mark.travis
    @pytest.mark.local
    def test_has_parmed(self):
        self.assertTrue(self.mdrecord.has_parmed)

    @pytest.mark.travis
    @pytest.mark.local
    def test_delete_parmed(self):
        new_record = OERecord(self.record)
        new_mdrecord = MDDataRecord(new_record)

        new_mdrecord.delete_parmed
        self.assertFalse(new_mdrecord.has_parmed)

    @pytest.mark.travis
    @pytest.mark.local
    def test_protein_traj(self):

        oetraj_record = self.record.get_value(OEField('OETraj', Types.Record))

        prot_mol = oetraj_record.get_value(Fields.protein_traj_confs)

        mdrecord = MDDataRecord(oetraj_record)

        mdprot = mdrecord.get_protein_traj

        self.assertEqual(prot_mol.NumAtoms(), mdprot.NumAtoms())

    @pytest.mark.travis
    @pytest.mark.local
    def test_set_protein_traj(self):
        oetraj_record = self.record.get_value(OEField('OETraj', Types.Record))

        prot_mol = oetraj_record.get_value(Fields.protein_traj_confs)

        mdrecord = MDDataRecord(oetraj_record)

        oetraj_record.delete_field(Fields.protein_traj_confs)

        with self.assertRaises(ValueError):
            mdrecord.get_protein_traj

        self.assertTrue(mdrecord.set_protein_traj(prot_mol))
Esempio n. 5
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    def process(self, record, port):
        try:
            opt = self.opt
            # Logger string
            opt['Logger'].info(' Beginning TrajInteractionEnergyCube')

            mdrecord = MDDataRecord(record)

            system_title = mdrecord.get_title

            opt['Logger'].info(
                '{} Attempting to compute MD Traj protein-ligand Interaction energies'
                .format(system_title))

            # Check that the OETraj analysis has been done
            analysesDone = utl.RequestOEFieldType(record,
                                                  Fields.Analysis.analysesDone)
            if 'OETraj' not in analysesDone:
                raise ValueError(
                    '{} does not have OETraj analyses done'.format(
                        system_title))
            else:
                opt['Logger'].info(
                    '{} found OETraj analyses'.format(system_title))

            # Extract the relevant traj OEMols from the OETraj record
            oetrajRecord = utl.RequestOEFieldType(record,
                                                  Fields.Analysis.oetraj_rec)
            opt['Logger'].info('{} found OETraj record'.format(system_title))
            ligTraj = utl.RequestOEField(oetrajRecord, 'LigTraj',
                                         Types.Chem.Mol)
            opt['Logger'].info(
                '{} #atoms, #confs in ligand traj OEMol: {}, {}'.format(
                    system_title, ligTraj.NumAtoms(), ligTraj.NumConfs()))

            mdtrajrecord = MDDataRecord(oetrajRecord)
            protTraj = mdtrajrecord.get_protein_traj

            opt['Logger'].info(
                '{} #atoms, #confs in protein traj OEMol: {}, {}'.format(
                    system_title, protTraj.NumAtoms(), protTraj.NumConfs()))

            water_traj = oetrajRecord.get_value(
                OEField('WatTraj', Types.Chem.Mol))
            opt['Logger'].info(
                '{} #atoms, #confs in water traj OEMol: {}, {}'.format(
                    system_title, water_traj.NumAtoms(),
                    water_traj.NumConfs()))

            prmed = mdrecord.get_parmed(sync_stage_name='last')

            # Compute interaction energies for the protein, ligand, complex and water subsystems
            intEdata = mmpbsa.ProtLigWatInteractionEFromParmedOETraj(
                prmed, ligTraj, protTraj, water_traj, opt)

            if intEdata is None:
                raise ValueError(
                    '{} Calculation of Interaction Energies failed'.format(
                        system_title))

            # protein and ligand traj OEMols now have parmed charges on them; save these
            oetrajRecord.set_value(OEField('LigTraj', Types.Chem.Mol), ligTraj)
            record.set_value(Fields.Analysis.oetraj_rec, oetrajRecord)

            # list the energy terms in the intEdata dict to be stored on the record
            for key in intEdata.keys():
                opt['Logger'].info('{} traj intEdata[{}] of length {}'.format(
                    system_title, key, len(intEdata[key])))
                # change any NaNs to a really big float or else Orion WriterCube fails on JSON dict
                for i, x in enumerate(intEdata[key]):
                    if math.isnan(x):
                        opt['Logger'].info(
                            '{} found a NaN at intEdata[{}][{}]'.format(
                                system_title, key, i))
                        intEdata[key][i] = magic_big_float_to_replace_NaN

            # Add the intEdata dict to the record
            record.set_value(Fields.Analysis.oeintE_dict, intEdata)

            # Add the trajIntE record to the parent record
            #record.set_value(Fields.Analysis.oeintE_rec, trajIntE)

            analysesDone.append('TrajIntE')
            record.set_value(Fields.Analysis.analysesDone, analysesDone)
            opt['Logger'].info(
                '{} finished writing trajIntE OERecord'.format(system_title))

            self.success.emit(record)

            del mdrecord
            del mdtrajrecord

        except Exception as e:
            print("Failed to complete", str(e), flush=True)
            opt['Logger'].info(
                'Exception {} in TrajInteractionEnergyCube on {}'.format(
                    str(e), system_title))
            self.log.error(traceback.format_exc())
            # Return failed mol
            self.failure.emit(record)

        return
Esempio n. 6
0
    def process(self, record, port):
        try:
            # The copy of the dictionary option as local variable
            # is necessary to avoid filename collisions due to
            # the parallel cube processes
            opt = dict(self.opt)
            opt['CubeTitle'] = self.title
            # Logger string
            str_logger = '-' * 32 + ' NPT CUBE PARAMETERS ' + '-' * 32
            str_logger += "\n{:<25} = {:<10}".format("Cube Title",
                                                     opt['CubeTitle'])

            for k, v in sorted(self.parameters().items()):
                tmp_default = copy.deepcopy(v)

                if v.default is None:
                    tmp_default.default = 'None'
                elif isinstance(v, parameters.BooleanParameter):
                    if v.default:
                        tmp_default.default = 'True'
                    else:
                        tmp_default.default = 'False'
                else:
                    tmp_description = textwrap.fill(" ".join(
                        v.description.split()),
                                                    subsequent_indent=' ' * 39,
                                                    width=80)
                    str_logger += "\n{:<25} = {:<10} {}".format(
                        k, getattr(self.args, tmp_default.name),
                        tmp_description)

            str_logger += "\n{:<25} = {:<10}".format("Simulation Type",
                                                     opt['SimType'])

            # Create the MD record to use the MD Record API
            mdrecord = MDDataRecord(record)

            system_title = mdrecord.get_title

            opt['system_title'] = system_title
            opt['system_id'] = mdrecord.get_flask_id

            flask = mdrecord.get_stage_topology()
            mdstate = mdrecord.get_stage_state()

            # Update cube simulation parameters
            for field in record.get_fields(include_meta=True):
                field_name = field.get_name()
                if field_name in ['temperature', 'pressure']:
                    rec_value = record.get_value(field)
                    opt[field_name] = rec_value
                    opt['Logger'].info(
                        "{} Updating parameters for molecule: {} {} = {}".
                        format(self.title, system_title, field_name,
                               rec_value))

            if opt['restraint_to_reference']:
                opt['reference_state'] = mdrecord.get_stage_state(
                    stg_name=MDStageNames.ForceField)

            opt['out_directory'] = mdrecord.cwd
            opt['molecule'] = flask
            opt['str_logger'] = str_logger
            opt['Logger'].info('[{}] START NPT SIMULATION: {}'.format(
                opt['CubeTitle'], system_title))

            opt['out_fn'] = os.path.basename(opt['out_directory']) + '_' + \
                            opt['system_title'] + '_' + \
                            str(opt['system_id']) + '-' + \
                            opt['suffix']

            # Trajectory file name if any generated
            opt['trj_fn'] = opt['out_fn'] + '_' + 'traj.tar.gz'

            # Extract the Parmed structure and synchronize it with the last MD stage state
            parmed_structure = mdrecord.get_parmed(sync_stage_name='last')

            # Run the MD simulation
            new_mdstate = md_simulation(mdstate, parmed_structure, opt)

            # Update the system coordinates
            flask.SetCoords(new_mdstate.get_oe_positions())
            mdrecord.set_flask(flask)

            # Trajectory
            if opt['trajectory_interval'] or opt['trajectory_frames']:
                trajectory_fn = opt['trj_fn']
                if opt['md_engine'] == MDEngines.OpenMM:
                    trajectory_engine = MDEngines.OpenMM
                else:
                    trajectory_engine = MDEngines.Gromacs

            else:  # Empty Trajectory
                trajectory_fn = None
                trajectory_engine = None

            data_fn = opt['out_fn'] + '.tar.gz'

            if not mdrecord.add_new_stage(
                    self.title,
                    MDStageTypes.NPT,
                    flask,
                    new_mdstate,
                    data_fn,
                    append=opt['save_md_stage'],
                    log=opt['str_logger'],
                    trajectory_fn=trajectory_fn,
                    trajectory_engine=trajectory_engine,
                    trajectory_orion_ui=opt['system_title'] + '_' +
                    str(opt['system_id']) + '-' + opt['suffix'] + '.tar.gz'):

                raise ValueError("Problems adding in the new NPT Stage")

            self.success.emit(mdrecord.get_record)

            del mdrecord

        except Exception as e:

            print("Failed to complete", str(e), flush=True)
            self.opt['Logger'].info('Exception {} {}'.format(
                str(e), self.title))
            self.log.error(traceback.format_exc())
            self.failure.emit(record)

        return
Esempio n. 7
0
    def process(self, record, port):
        try:
            # The copy of the dictionary option as local variable
            # is necessary to avoid filename collisions due to
            # the parallel cube processes
            opt = dict(self.opt)
            opt['CubeTitle'] = self.title

            # Logger string
            str_logger = '-' * 32 + ' MIN CUBE PARAMETERS ' + '-' * 32
            str_logger += "\n{:<25} = {:<10}".format("Cube Title",
                                                     opt['CubeTitle'])

            for k, v in sorted(self.parameters().items()):
                tmp_default = copy.deepcopy(v)

                if v.default is None:
                    tmp_default.default = 'None'
                elif isinstance(v, parameters.BooleanParameter):
                    if v.default:
                        tmp_default.default = 'True'
                    else:
                        tmp_default.default = 'False'
                else:
                    tmp_description = textwrap.fill(" ".join(
                        v.description.split()),
                                                    subsequent_indent=' ' * 39,
                                                    width=80)
                    str_logger += "\n{:<25} = {:<10} {}".format(
                        k, getattr(self.args, tmp_default.name),
                        tmp_description)

            str_logger += "\n{:<25} = {:<10}".format("Simulation Type",
                                                     opt['SimType'])

            # Create the MD record to use the MD Record API
            mdrecord = MDDataRecord(record)

            system_title = mdrecord.get_title

            opt['system_title'] = system_title
            opt['system_id'] = mdrecord.get_flask_id

            flask = mdrecord.get_stage_topology()
            mdstate = mdrecord.get_stage_state()

            if opt['restraint_to_reference']:
                opt['reference_state'] = mdrecord.get_stage_state(
                    stg_name=MDStageNames.ForceField)

            opt['out_directory'] = mdrecord.cwd
            opt['molecule'] = flask
            opt['str_logger'] = str_logger
            opt['Logger'].info('[{}] MINIMIZING System: {}'.format(
                opt['CubeTitle'], system_title))

            # Extract the Parmed structure and synchronize it with the last MD stage state
            parmed_structure = mdrecord.get_parmed(sync_stage_name='last')

            # Run the MD simulation
            new_mdstate = md_simulation(mdstate, parmed_structure, opt)

            # Update the flask coordinates
            flask.SetCoords(new_mdstate.get_oe_positions())
            mdrecord.set_flask(flask)

            data_fn = os.path.basename(
                mdrecord.cwd) + '_' + opt['system_title'] + '_' + str(
                    opt['system_id']) + '-' + opt['suffix'] + '.tar.gz'

            if not mdrecord.add_new_stage(self.title,
                                          MDStageTypes.MINIMIZATION,
                                          flask,
                                          new_mdstate,
                                          data_fn,
                                          append=opt['save_md_stage'],
                                          log=opt['str_logger']):

                raise ValueError("Problems adding the new Minimization Stage")

            self.success.emit(mdrecord.get_record)

            del mdrecord

        except Exception as e:

            print("Failed to complete", str(e), flush=True)
            self.opt['Logger'].info('Exception {} {}'.format(
                str(e), self.title))
            self.log.error(traceback.format_exc())
            self.failure.emit(record)

        return
Esempio n. 8
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    def test_omm_minimization_floe(self):
        workfloe = WorkFloeWrapper.get_workfloe(os.path.join(
            FLOES_DEV_DIR, "MDminimize.py"),
                                                run_timeout=43200,
                                                queue_timeout=2000)

        system = DatasetWrapper.get_dataset(
            os.path.join(FILE_DIR, "pbace_lcat13a.oedb"))

        # Read input record
        ifs = oeifstream(system.dataset_path)
        records = []

        for rec in read_records(ifs):
            records.append(rec)
        ifs.close()

        count = len(records)

        # Check the out record list
        self.assertEqual(count, 1)

        # Calculate the initial potential energy
        for record in records:

            mdrecord = MDDataRecord(record)

            stages = mdrecord.get_stages
            self.assertEqual(len(stages), 1)

            mdstate = mdrecord.get_stage_state()
            parmed_structure = mdrecord.get_parmed(sync_stage_name='last')

            # Calculate the initial potential energy
            eng_i = calculate_eng(mdstate, parmed_structure)

        output_file = OutputDatasetWrapper(extension=".oedb")
        fail_output_file = OutputDatasetWrapper(extension=".oedb")

        workfloe.start({
            "promoted": {
                "system": system.identifier,
                "out": output_file.identifier,
                "fail": fail_output_file.identifier
            },
            "cube": {
                "Minimize": {
                    "save_md_stage": True
                }
            }
        })

        self.assertWorkFloeComplete(workfloe)

        fail_ifs = oechem.oeifstream()
        records_fail = []

        for rec_fail in read_records(fail_ifs):
            records_fail.append(rec_fail)
        fail_ifs.close()

        count = len(records_fail)
        # The fail record must be empty
        self.assertEqual(count, 0)

        # Read output record
        ifs = oeifstream(output_file.path)
        records = []

        for rec in read_records(ifs):
            records.append(rec)
        ifs.close()

        count = len(records)
        # The records list must have just one record
        self.assertEqual(count, 1)

        # Calculate the final potential energy
        for record in records:

            mdrecord = MDDataRecord(record)

            stages = mdrecord.get_stages
            self.assertEqual(len(stages), 2)

            mdstate = mdrecord.get_stage_state()
            parmed_structure = mdrecord.get_parmed(sync_stage_name='last')

            # Calculate the final potential energy
            eng_f = calculate_eng(mdstate, parmed_structure)

        self.assertLess(
            eng_f.in_units_of(unit.kilojoule_per_mole) /
            unit.kilojoule_per_mole,
            eng_i.in_units_of(unit.kilojoule_per_mole) /
            unit.kilojoule_per_mole)
Esempio n. 9
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    def test_omm_npt_floe(self):
        workfloe = WorkFloeWrapper.get_workfloe(os.path.join(
            FLOES_DEV_DIR, "MDnpt.py"),
                                                run_timeout=43200,
                                                queue_timeout=2000)

        system = DatasetWrapper.get_dataset(
            os.path.join(FILE_DIR, "pP38_lig38a_2n_npt_5ns.oedb"))

        output_file = OutputDatasetWrapper(extension=".oedb")
        fail_output_file = OutputDatasetWrapper(extension=".oedb")

        workfloe.start({
            "promoted": {
                "system": system.identifier,
                "nanoseconds": 0.01,
                "temperature": 300.0,
                "pressure": 1.0,
                "trajectory_interval": 0.0,
                "reporter_interval": 0.0,
                "out": output_file.identifier,
                "fail": fail_output_file.identifier
            },
            "cube": {
                "npt": {
                    "save_md_stage": True,
                    "constraints": "H-Bonds",
                    "restraints": "",
                    "nonbondedCutoff": 10.0
                }
            }
        })

        self.assertWorkFloeComplete(workfloe)

        fail_ifs = oechem.oeifstream()
        records_fail = []

        for rec_fail in read_records(fail_ifs):
            records_fail.append(rec_fail)
        fail_ifs.close()

        count = len(records_fail)
        # The fail record must be empty
        self.assertEqual(count, 0)

        ifs = oeifstream(output_file.path)
        records = []

        for rec in read_records(ifs):
            records.append(rec)
        ifs.close()

        count = len(records)
        # Check the out record list
        self.assertEqual(count, 1)

        for record in records:

            mdrecord = MDDataRecord(record)

            stages = mdrecord.get_stages
            self.assertEqual(len(stages), 3)

            mdstate = mdrecord.get_stage_state()
            parmed_structure = mdrecord.get_parmed(sync_stage_name='last')

            # Calculate final volume and temperature
            vol_f, temp_f = calculate_VT(mdstate, parmed_structure)

            # Check 3*std volume
            # Average volume and its standard deviation (in nm^3) measured along
            # one 5ns run for the selected system
            avg_volume = 632.4198167 * (unit.nanometers**3)
            std_volume = 1.201609662

            self.assertAlmostEqual(avg_volume / (unit.nanometers**3),
                                   vol_f.in_units_of(unit.nanometers**3) /
                                   (unit.nanometers**3),
                                   delta=3 * std_volume)

            # Check temperature
            # Average temperature and its standard deviation (in K) measured along
            # one 5ns run for the selected system
            avg_temperature = 299.9852145 * unit.kelvin
            std_temperature = 2.021052471
            self.assertAlmostEqual(avg_temperature / unit.kelvin,
                                   temp_f.in_units_of(unit.kelvin) /
                                   unit.kelvin,
                                   delta=3 * std_temperature)