예제 #1
0
def snl_to_wf_elastic(snl, parameters):
    # parameters["user_vasp_settings"] specifies user defined incar/kpoints parameters
    fws = []
    connections = defaultdict(list)
    parameters = parameters if parameters else {}

    snl_priority = parameters.get('priority', 1)
    priority = snl_priority * 2  # once we start a job, keep going!

    f = Composition(snl.structure.composition.reduced_formula).alphabetical_formula

    # add the SNL to the SNL DB and figure out duplicate group
    tasks = [AddSNLTask()]
    spec = {'task_type': 'Add to SNL database', 'snl': snl.as_dict(), 
            '_queueadapter': QA_DB, '_priority': snl_priority}
    if 'snlgroup_id' in parameters and isinstance(snl, MPStructureNL):
        spec['force_mpsnl'] = snl.as_dict()
        spec['force_snlgroup_id'] = parameters['snlgroup_id']
        del spec['snl']
    fws.append(Firework(tasks, spec, 
                        name=get_slug(f + '--' + spec['task_type']), fw_id=0))
    connections[0] = [1]

    parameters["exact_structure"] = True
    # run GGA structure optimization for force convergence
    spec = snl_to_wf._snl_to_spec(snl, parameters=parameters)
    user_vasp_settings = parameters.get("user_vasp_settings")
    spec = update_spec_force_convergence(spec, user_vasp_settings)
    spec['run_tags'].append("origin")
    spec['_priority'] = priority
    spec['_queueadapter'] = QA_VASP
    del spec['_dupefinder']
    spec['task_type'] = "Vasp force convergence optimize structure (2x)"
    tasks = [VaspWriterTask(), get_custodian_task(spec)]
    fws.append(Firework(tasks, spec, 
                        name=get_slug(f + '--' + spec['task_type']), fw_id=1))

    # insert into DB - GGA structure optimization
    spec = {'task_type': 'VASP db insertion', '_priority': priority,
            '_allow_fizzled_parents': True, '_queueadapter': QA_DB, 
            'clean_task_doc':True, 'elastic_constant':"force_convergence"}
    fws.append(Firework([VaspToDBTask()], spec, 
                        name=get_slug(f + '--' + spec['task_type']), fw_id=2))
    connections[1] = [2]

    spec = {'task_type': 'Setup Deformed Struct Task', '_priority': priority,
                '_queueadapter': QA_CONTROL}
    fws.append(Firework([SetupDeformedStructTask()], spec, 
                        name=get_slug(f + '--' + spec['task_type']),fw_id=3))
    connections[2] = [3]

    wf_meta = get_meta_from_structure(snl.structure)
    wf_meta['run_version'] = 'May 2013 (1)'

    if '_materialsproject' in snl.data and 'submission_id' in snl.data['_materialsproject']:
        wf_meta['submission_id'] = snl.data['_materialsproject']['submission_id']

    return Workflow(fws, connections, name=Composition(
        snl.structure.composition.reduced_formula).alphabetical_formula, metadata=wf_meta)
예제 #2
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 def run_task(self, fw_spec):
     # Read structure from previous relaxation
     relaxed_struct = fw_spec['output']['crystal']
     # Generate deformed structures
     d_struct_set = DeformedStructureSet(relaxed_struct, ns=0.06)
     wf=[]
     for i, d_struct in enumerate(d_struct_set.def_structs):
         fws=[]
         connections={}
         f = Composition(d_struct.formula).alphabetical_formula
         snl = StructureNL(d_struct, 'Joseph Montoya <*****@*****.**>', 
                           projects=["Elasticity"])
         tasks = [AddSNLTask()]
         snl_priority = fw_spec.get('priority', 1)
         spec = {'task_type': 'Add Deformed Struct to SNL database', 
                 'snl': snl.as_dict(), 
                 '_queueadapter': QA_DB, 
                 '_priority': snl_priority}
         if 'snlgroup_id' in fw_spec and isinstance(snl, MPStructureNL):
             spec['force_mpsnl'] = snl.as_dict()
             spec['force_snlgroup_id'] = fw_spec['snlgroup_id']
             del spec['snl']
         fws.append(Firework(tasks, spec, 
                             name=get_slug(f + '--' + spec['task_type']), 
                             fw_id=-1000+i*10))
         connections[-1000+i*10] = [-999+i*10]
         spec = snl_to_wf._snl_to_spec(snl, 
                                       parameters={'exact_structure':True})
         spec = update_spec_force_convergence(spec)
         spec['deformation_matrix'] = d_struct_set.deformations[i].tolist()
         spec['original_task_id'] = fw_spec["task_id"]
         spec['_priority'] = fw_spec['_priority']*2
         #Turn off dupefinder for deformed structure
         del spec['_dupefinder']
         spec['task_type'] = "Optimize deformed structure"
         fws.append(Firework([VaspWriterTask(), SetupElastConstTask(),
                              get_custodian_task(spec)], 
                             spec, 
                             name=get_slug(f + '--' + spec['task_type']), 
                             fw_id=-999+i*10))
         
         priority = fw_spec['_priority']*3
         spec = {'task_type': 'VASP db insertion', 
                 '_priority': priority,
                 '_allow_fizzled_parents': True, 
                 '_queueadapter': QA_DB, 
                 'elastic_constant':"deformed_structure", 
                 'clean_task_doc':True,
                 'deformation_matrix':d_struct_set.deformations[i].tolist(), 
                 'original_task_id':fw_spec["task_id"]}
         fws.append(Firework([VaspToDBTask(), AddElasticDataToDBTask()], spec,
                             name=get_slug(f + '--' + spec['task_type']),
                             fw_id=-998+i*10))
         connections[-999+i*10] = [-998+i*10]
         wf.append(Workflow(fws, connections))
     return FWAction(additions=wf)
예제 #3
0
def snl_to_wf(snl, parameters=None):
    fws = []
    connections = defaultdict(list)
    parameters = parameters if parameters else {}

    snl_priority = parameters.get('priority', 1)
    priority = snl_priority * 2  # once we start a job, keep going!

    f = Composition(
        snl.structure.composition.reduced_formula).alphabetical_formula

    snl_spec = {}
    if 'snlgroup_id' in parameters:
        if 'mpsnl' in parameters:
            snl_spec['mpsnl'] = parameters['mpsnl']
        elif isinstance(snl, MPStructureNL):
            snl_spec['mpsnl'] = snl.as_dict()
        else:
            raise ValueError("improper use of force SNL")
        snl_spec['snlgroup_id'] = parameters['snlgroup_id']
    else:
        # add the SNL to the SNL DB and figure out duplicate group
        tasks = [AddSNLTask()]
        spec = {
            'task_type': 'Add to SNL database',
            'snl': snl.as_dict(),
            '_queueadapter': QA_DB,
            '_priority': snl_priority
        }
        fws.append(
            Firework(tasks,
                     spec,
                     name=get_slug(f + '--' + spec['task_type']),
                     fw_id=0))
        connections[0] = [1]

    trackers = [
        Tracker('FW_job.out'),
        Tracker('FW_job.error'),
        Tracker('vasp.out'),
        Tracker('OUTCAR'),
        Tracker('OSZICAR'),
        Tracker('OUTCAR.relax1'),
        Tracker('OUTCAR.relax2')
    ]
    trackers_db = [Tracker('FW_job.out'), Tracker('FW_job.error')]
    # run GGA structure optimization
    spec = _snl_to_spec(snl, enforce_gga=True, parameters=parameters)
    spec.update(snl_spec)
    spec['_priority'] = priority
    spec['_queueadapter'] = QA_VASP
    spec['_trackers'] = trackers
    tasks = [VaspWriterTask(), get_custodian_task(spec)]
    fws.append(
        Firework(tasks,
                 spec,
                 name=get_slug(f + '--' + spec['task_type']),
                 fw_id=1))

    # insert into DB - GGA structure optimization
    spec = {
        'task_type': 'VASP db insertion',
        '_priority': priority * 2,
        '_allow_fizzled_parents': True,
        '_queueadapter': QA_DB,
        "_dupefinder": DupeFinderDB().to_dict(),
        '_trackers': trackers_db
    }
    fws.append(
        Firework([VaspToDBTask()],
                 spec,
                 name=get_slug(f + '--' + spec['task_type']),
                 fw_id=2))
    connections[1] = [2]

    # determine if GGA+U FW is needed
    incar = MPVaspInputSet().get_incar(snl.structure).as_dict()
    ggau_compound = ('LDAU' in incar and incar['LDAU'])

    if not parameters.get('skip_bandstructure', False) and (
            not ggau_compound
            or parameters.get('force_gga_bandstructure', False)):
        spec = {
            'task_type': 'Controller: add Electronic Structure v2',
            '_priority': priority,
            '_queueadapter': QA_CONTROL
        }
        fws.append(
            Firework([AddEStructureTask()],
                     spec,
                     name=get_slug(f + '--' + spec['task_type']),
                     fw_id=3))
        connections[2] = [3]

    if ggau_compound:
        spec = _snl_to_spec(snl, enforce_gga=False, parameters=parameters)
        del spec[
            'vasp']  # we are stealing all VASP params and such from previous run
        spec['_priority'] = priority
        spec['_queueadapter'] = QA_VASP
        spec['_trackers'] = trackers
        fws.append(
            Firework(
                [VaspCopyTask(),
                 SetupGGAUTask(),
                 get_custodian_task(spec)],
                spec,
                name=get_slug(f + '--' + spec['task_type']),
                fw_id=10))
        connections[2].append(10)

        spec = {
            'task_type': 'VASP db insertion',
            '_queueadapter': QA_DB,
            '_allow_fizzled_parents': True,
            '_priority': priority,
            "_dupefinder": DupeFinderDB().to_dict(),
            '_trackers': trackers_db
        }
        fws.append(
            Firework([VaspToDBTask()],
                     spec,
                     name=get_slug(f + '--' + spec['task_type']),
                     fw_id=11))
        connections[10] = [11]

        if not parameters.get('skip_bandstructure', False):
            spec = {
                'task_type': 'Controller: add Electronic Structure v2',
                '_priority': priority,
                '_queueadapter': QA_CONTROL
            }
            fws.append(
                Firework([AddEStructureTask()],
                         spec,
                         name=get_slug(f + '--' + spec['task_type']),
                         fw_id=12))
            connections[11] = [12]

    wf_meta = get_meta_from_structure(snl.structure)
    wf_meta['run_version'] = 'May 2013 (1)'

    if '_materialsproject' in snl.data and 'submission_id' in snl.data[
            '_materialsproject']:
        wf_meta['submission_id'] = snl.data['_materialsproject'][
            'submission_id']
    return Workflow(
        fws,
        connections,
        name=Composition(
            snl.structure.composition.reduced_formula).alphabetical_formula,
        metadata=wf_meta)
예제 #4
0
def snl_to_wf(snl, parameters=None):
    fws = []
    connections = {}
    parameters = parameters if parameters else {}

    snl_priority = parameters.get('priority', 1)
    priority = snl_priority * 2  # once we start a job, keep going!

    f = Composition.from_formula(
        snl.structure.composition.reduced_formula).alphabetical_formula

    # add the SNL to the SNL DB and figure out duplicate group
    tasks = [AddSNLTask()]
    spec = {
        'task_type': 'Add to SNL database',
        'snl': snl.to_dict,
        '_queueadapter': QA_DB,
        '_priority': snl_priority
    }
    if 'snlgroup_id' in parameters and isinstance(snl, MPStructureNL):
        spec['force_mpsnl'] = snl.to_dict
        spec['force_snlgroup_id'] = parameters['snlgroup_id']
        del spec['snl']
    fws.append(
        FireWork(tasks,
                 spec,
                 name=get_slug(f + '--' + spec['task_type']),
                 fw_id=0))
    connections[0] = [1]

    # run GGA structure optimization
    spec = _snl_to_spec(snl, enforce_gga=True)
    spec['_priority'] = priority
    spec['_queueadapter'] = QA_VASP
    tasks = [VaspWriterTask(), get_custodian_task(spec)]
    fws.append(
        FireWork(tasks,
                 spec,
                 name=get_slug(f + '--' + spec['task_type']),
                 fw_id=1))

    # insert into DB - GGA structure optimization
    spec = {
        'task_type': 'VASP db insertion',
        '_priority': priority,
        '_allow_fizzled_parents': True,
        '_queueadapter': QA_DB
    }
    fws.append(
        FireWork([VaspToDBTask()],
                 spec,
                 name=get_slug(f + '--' + spec['task_type']),
                 fw_id=2))
    connections[1] = [2]

    if not parameters.get('skip_bandstructure', False):
        spec = {
            'task_type': 'Controller: add Electronic Structure v2',
            '_priority': priority,
            '_queueadapter': QA_CONTROL
        }
        fws.append(
            FireWork([AddEStructureTask()],
                     spec,
                     name=get_slug(f + '--' + spec['task_type']),
                     fw_id=3))
        connections[2] = [3]

    # determine if GGA+U FW is needed
    incar = MPVaspInputSet().get_incar(snl.structure).to_dict

    if 'LDAU' in incar and incar['LDAU']:
        spec = _snl_to_spec(snl, enforce_gga=False)
        del spec[
            'vasp']  # we are stealing all VASP params and such from previous run
        spec['_priority'] = priority
        spec['_queueadapter'] = QA_VASP
        fws.append(
            FireWork(
                [VaspCopyTask(),
                 SetupGGAUTask(),
                 get_custodian_task(spec)],
                spec,
                name=get_slug(f + '--' + spec['task_type']),
                fw_id=10))
        connections[2].append(10)

        spec = {
            'task_type': 'VASP db insertion',
            '_queueadapter': QA_DB,
            '_allow_fizzled_parents': True,
            '_priority': priority
        }
        fws.append(
            FireWork([VaspToDBTask()],
                     spec,
                     name=get_slug(f + '--' + spec['task_type']),
                     fw_id=11))
        connections[10] = [11]

        if not parameters.get('skip_bandstructure', False):
            spec = {
                'task_type': 'Controller: add Electronic Structure v2',
                '_priority': priority,
                '_queueadapter': QA_CONTROL
            }
            fws.append(
                FireWork([AddEStructureTask()],
                         spec,
                         name=get_slug(f + '--' + spec['task_type']),
                         fw_id=12))
            connections[11] = [12]

    wf_meta = get_meta_from_structure(snl.structure)
    wf_meta['run_version'] = 'May 2013 (1)'

    if '_materialsproject' in snl.data and 'submission_id' in snl.data[
            '_materialsproject']:
        wf_meta['submission_id'] = snl.data['_materialsproject'][
            'submission_id']
    return Workflow(
        fws,
        connections,
        name=Composition.from_formula(
            snl.structure.composition.reduced_formula).alphabetical_formula,
        metadata=wf_meta)