Пример #1
0
def saveResults(jobID, cell, pos, magmom, e0, b, bFit, xc, t, nIter):
    result = BulkResult(
        jobID, cell, pos, magmom, e0, b, bFit, xc, t, nIter
    )  #lattice constants determined downstream, depending on structure'
    if rank() == 0:
        insertObject(result)
        with open("result.json", "w") as f:
            print >> f, result.toJSON()
        updateStatus(jobID, 'running', 'completed')
Пример #2
0
	def run_task(self,fw_spec): 
		jobID	= fw_spec['jobID'] 
		job 	= db2SurfaceJob(jobID)
		
		resultNames = ['pos','magmom','e0','f0','xcContribs','avgtime','niter']
		results     = [fw_spec[x][0] for x in resultNames]
		resultDict  = {n:fw_spec[n] for n in resultNames}
		
		result = SurfaceResult(*([jobID]+results))
		
		result.addToASEdb(job)
		
		insertObject(result) # add result to surface result table
		
		updateDB('surfacejob','status','id',jobID,'complete')
		
		return FWAction(stored_data= resultDict)
Пример #3
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def increaseConvergence():
    kohnsham = [x[0] for x in plotQuery(['jobid'], [KOHNSHAM])]
    new = 0
    for k in kohnsham:
        jobj = db2object(k)
        jobj.convid += 1
        jobj.status = 'initialized'
        jobj.error, jobj.comments = None, None
        id, status = insertObject(jobj)
        if status == 'inserted': new += 1
    print 'added %d new jobs' % new
Пример #4
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def main():

    try:
        deleteTable('tentative')  #WHAT IS GOING ON HERE?
    except:
        pass
    try:
        createTentativeBulkTable()
    except:
        pass

    domains = [
        filteredTrajDomain, filteredXCDomain, filteredPSPDomain,
        filteredPWDomain, filteredKPTDomain, filteredPreCalcXCDomain,
        filteredDFTDomain
    ]
    combos = product(*domains)
    ncombo = reduce(mul, [len(x) for x in domains])
    for i, c in enumerate(combos):
        print '%f%' % (i / float(ncombo) * 100)
        tentativeInput = c[:5] + tuple(defaults) + c[5:]
        tentativeBulkjob = BulkJob(*tentativeInput)

        if tentativeBulkjob.xc == 'mBEEF':  #defaults slightly different for mBEEF
            tentativeBulkjob.sigma += 0.1
            tentativeBulkjob.sigma -= 0.05

        ID, status = insertObject(tentativeBulkjob, tentative=True)
    print "%d tentative jobs" % countDB('tentative')

    valid = [
        db2BulkJob(x[0], tentative=True)
        for x in plotQuery('tentative', ['tentative.id'], constraints)
    ]
    new = 0

    for z in range(len(valid)):
        ID, status = insertObject(valid[z])
        if status == 'inserted': new += 1
    print "%d valid jobs, %d are new" % (len(valid), new)
    deleteTable('tentative')
def main():
	dropTable('tentativejob')
	dropTable('tentativedetails')
	sqlexecute(jobTable('tentativejob'))
	sqlexecute('INSERT INTO tentativejob SELECT * FROM job')
	sqlexecute(tentativedetailstable)

	for i,sID in enumerate(surfs):
		p 		= asedb.get(sID).get('parent')

		cols 	= ['xc','pw','kptden','psp','convid','precalc','dftcode']
		allInfo = queryManyFromOne(cols,'aseid',p)
		
		xc,pw,kptden,psp,convid,precalc,dftcode = allInfo

		tentativeInput	 = [None,'surfrelax',sID,None,None,xc,pw,kptden,psp,None,None,convid,precalc,dftcode,None,None,'initialized']
		tentativeSurfjob = Job(*tentativeInput)
		
		insertObject(tentativeSurfjob,tentative=True)
		
	applyDetails(tentative=True) #populate details table so that plotQuery works

	valid 	= [db2object(x[0],'tentativejob','job') for x in plotQuery(['jobid'],constraints,tentativetable)] 
	new 	= 0

	
	print "%d valid jobs, %d are new"%(len(valid),new)

	question = "Do you want to insert %d new surface jobs?"%new

	if raw_input(question) in ['y','yes']:

		for z in range(len(valid)): 
			ID,status = insertObject(valid[z])
			if status == 'inserted': new +=1

		print "%d jobs are new"%new
		applyDetails()
		dropTable('tentativejob')
		dropTable('tentativedetails')
Пример #6
0
def main():
	
	try: dropTable('tentativejob') # uncomment if script fails in the middle
	except: pass

	sqlexecute(jobTable('tentativejob'))
	copyTable('job','tentativejob')
	
	combos 	= product(*domains)
	nTot 	= reduce(mul,[len(x) for x in [trajDomain,xcDomain,pspDomain,pwDomain,kptDomain,preXcDomain,dftDomain]])
	ncombo 	= reduce(mul,[len(x) for x in domains])
	for i,c in enumerate(combos):	
		print '%f %%'%(i/float(ncombo)*100)
							# jobid jobkind 	aseid vib neb   xc   pw kpt  psp   xtol  strain   convergence ID        precalc dft comm err stat
		tentativeInput 		= [None,'bulkrelax',c[0],None,None,c[1],c[2],c[3],c[4],0.005,0.03, 2 if c[1]=='mBEEF' else 1,c[5],c[6],None,None,'initialized']
		tentativejob 	= Job(*tentativeInput)
		insertObject(tentativejob,tentative=True)

	nJobsInit,nJobsTent = countDB('job'),countDB('tentativejob')

	print "%d tentative jobs after filtering %d jobs"%(ncombo,nTot)

	applyDetails(tentative=True) #populate details table so that plotQuery works

	valid 	= [db2object(x[0],'tentativejob') for x in plotQuery(['jobid'],CONSTRAINTS,tentativetable)] 
	new 	= 0

	question = "Do you want to insert %d valid bulk jobs?\n(y/n)--> "%len(valid)

	if raw_input(question) in ['y','yes']:

		for z in range(len(valid)): 
			ID,status = insertObject(valid[z])
			if status == 'inserted': new +=1
		
		print "%d jobs are new"%new
	
		applyDetails()
		
		dropTable('tentativejob')
Пример #7
0
def main():

    deleteTable('tentativesurf')

    for i, sID in enumerate(surfs):

        p = asedb.get(sID).get('parent')

        table = ' bulkjob INNER JOIN bulkresult ON bulkresult.jobid=bulkjob.id '
        cols = [
            'xc', 'psp', 'pw', 'kptden', 'kpt', 'econv', 'mixing', 'nmix',
            'maxstep', 'nbands', 'sigma', 'fmax', 'precalcxc', 'dftcode'
        ]
        allInfo = queryManyFromOne(table, cols, 'aseid', p)
        xc, psp, pw, kptden, kpt, econv, mixing, nmix, maxstep, nbands, sigma, fmax, precalcxc, dftcode = allInfo

        tentativeInput = [
            sID, xc, psp, pw, 10, kptden, None, econv, mixing, nmix, maxstep,
            nbands, sigma, fmax, precalcxc, dftcode
        ]
        tentativeSurfjob = SurfaceJob(*tentativeInput)

        ID, status = insertObject(tentativeSurfjob, tentative=True)

    valid = [
        db2SurfaceJob(x[0], tentative=True)
        for x in plotQuery('tentativesurf', ['tentativesurf.id'], constraints)
    ]  # SurfaceJob objects that satisfy constraints
    tot, new = len(valid), 0
    question = '%d job(s) meet these criteria. Do you want to add them to surfacejobs in data.db?\n(y/n)--->' % tot
    if raw_input(question).lower() in ['y', 'yes']:
        for z in range(len(valid)):
            ID, status = insertObject(valid[z])
            if status == 'inserted': new += 1

    deleteTable('tentativesurf')
    print '%d jobs considered, %d are new' % (tot, new)
Пример #8
0
import os
import sqlite3 as sqlite
from db import insertObject
from itertools import product


commands = []

sherlockDB = '/scratch/users/ksb/db/data.db'

###########################
# Add PSP Paths to Database
###########################
# Define domain of psp's to consider

for p in pspDomain: insertObject(p)

################################
# Add XC Functionals to Database
################################
# Define domain of XC's to consider
PBE   = XC('PBE',  [[]])
BEEF  = XC('BEEF', [[]])
mBEEF = XC('mBEEF',[[]])

xcDomain = [PBE,BEEF,mBEEF]

for x in xcDomain:  insertObject(x)

################################
# Add Calculators to Database
Пример #9
0
	def run_task(self,fw_spec): 
		jobID	= fw_spec['jobID'] 
		job   	= db2object(jobID)

		if 'relax' in job.jobkind:
			pos  	= fw_spec['pos'][0]
			cell 	= fw_spec['cell'][0] if job.jobkind == 'bulkrelax' else job.cellinit()
			magmom 	= fw_spec['magmom'][0]

			db    = connect('/scratch/users/ksb/db/ase.db')	

			info  = {'name': 		job.name()
					,'emt': 		0 				# EMT for relaxed structures useless, only relevant for deciding when to relax something
					,'relaxed': 	True 			# Could always doing this be a problem?
					,'comments':	'Generated from #%d'%(job.aseidinitial)
					,'parent': 		job.aseidinitial
					,'jobid': 		job.jobid 		# Int

					###Unchanged Things###
					,'kind': 		job.kind()} 		# String
				
			if job.structure() 	is not None: info['structure'] = 	job.structure()
			if job.vacancies() 	is not None: info['vacancies'] = 	job.vacancies()
			if job.sites() 		is not None: info['sites'] = 		job.sites()
			if job.facet() 		is not None: info['facet'] = 		job.facet()
			if job.xy() 		is not None: info['xy'] = 			job.xy()
			if job.layers()		is not None: info['layers'] = 		job.layers()
			if job.constrained() is not None: info['constrained'] = job.constrained()
			if job.symmetric() 	is not None: info['symmetric'] = 	job.symmetric()
			if job.vacuum() 	is not None: info['vacuum'] = 		job.vacuum()
			if job.adsorbates() is not None: info['adsorbates'] = 	job.adsorbates()

			optAtoms = Atoms(symbols 		 	= job.symbols()
							,scaled_positions 	= pos
							,cell 				= cell
							,magmoms 			= magmom
							,constraint 		= job.constraints()
							,tags 				= job.tags())

			aseid = db.write(optAtoms,key_value_pairs=info)
		else: 
			aseid = None

		launchdir 	= fw_spec['_launch_dir']
		energy 		= fw_spec['e0'][0] 		if 'relax' in job.jobkind else None
		forces 		= fw_spec['f0'][0] 		if 'relax' in job.jobkind else None

		bulkmodulus = fw_spec['b0'][0] 		if job.jobkind == 'bulkrelax' else None 
		bfit 		= fw_spec['quadR2'][0] 	if job.jobkind == 'bulkrelax' else None

		xccoeffs 	= fw_spec['xcContribs'][0] if 'relax' in job.jobkind else None

		viblist 	= fw_spec['vibs'][0]	if job.jobkind == 'vib' else None
		dos 		= fw_spec['dos'][0] 	if job.jobkind == 'dos' else None	
		barrier 	= fw_spec['barrier'][0] if job.jobkind == 'neb' else None

		time 		= fw_spec['avgtime'][0] 
		niter 		= fw_spec['niter'][0]  	if 'relax' in job.jobkind else None

		result = Result(jobID,launchdir,aseid=aseid,energy=energy,forces=forces
				,bulkmodulus=bulkmodulus,bfit=bfit,xccoeffs=xccoeffs,viblist=viblist
				,dos=dos,barrier=barrier,time=time,niter=niter)
		

		resultDict  = {'_launch_dir':launchdir,'aseid':aseid,'energy':energy
						,'forces':str(forces),'bulkmodulus':bulkmodulus
						,'bfit':bfit,'xccoeffs':xccoeffs,'time':time
						,'niter':niter,'viblist':viblist,'barrier':barrier}

		insertObject(result) # add result to bulkresult table
		
		updateDB('status','jobid',jobID,'complete')

		return FWAction(stored_data= resultDict)
Пример #10
0
def main():
    for conv in convs:
        insertObject(conv)
Пример #11
0
def main():
    jIDs = [x[0] for x in plotQuery(['jobid'], CONSTRAINTS)]

    question = "Going to add an %s interstitial to %d bulk objects.\n(y/n)--> " % (
        inter, len(jIDs))

    if raw_input(question).lower() in ['y', 'yes']:
        for j in jIDs:
            aseinitID = query1('aseid', 'jobid', j)
            aseinit = asedb.get_atoms(id=aseinitID)

            # Access information about previous Job / Atoms object
            jobinit = db2object(j)
            xc, pw, kptden = jobinit.xc, jobinit.pw, jobinit.kptden
            psp, xtol, strain = jobinit.psp, jobinit.xtol, jobinit.strain
            precalc, dftcode = jobinit.precalc, jobinit.dftcode
            nameinit = jobinit.name()
            structure = jobinit.structure()
            vacancies = jobinit.vacancies()

            # Create conventional PyMatGen Object
            pmg_init = AseAtomsAdaptor.get_structure(aseinit)
            pmg_init2 = SpacegroupAnalyzer(
                pmg_init).get_conventional_standard_structure()

            interstitial = Interstitial(
                pmg_init2, None, covalent_radii)  #accuracy=high breaks...
            os.system('cls' if os.name == 'nt' else 'clear')

            for i, site in enumerate(interstitial.enumerate_defectsites()):
                coordination = int(
                    round(interstitial.get_defectsite_coordination_number(i)))
                mult = 0  # interstitial.get_defectsite_multiplicity(i) -- broken ???
                insert = InsertSitesTransformation([inter], [site.coords],
                                                   coords_are_cartesian=True)
                pmg_new = insert.apply_transformation(pmg_init2.copy())
                ase_new = AseAtomsAdaptor.get_atoms(pmg_new)

                ase_new.set_calculator(EMT())
                emt = ase_new.get_potential_energy()

                if coordination == 4: siteName = 'T'
                elif coordination == 6: siteName = 'O'
                else: siteName = '%d-fold' % coordination

                question = ('site: %s\ncoordination: %s\nmultiplicity: %s' %
                            (site.coords, coordination, mult) +
                            '\ninitial ase id: %d \nxc: %s \npw: %d ' %
                            (aseinitID, xc, pw) +
                            '\nkptden: %f \npsp: %s\nxtol: %f\nstrain: %f' %
                            (kptden, psp, xtol, strain) +
                            '\nprecalc: %s \ndftcode: %s' %
                            (precalc, dftcode) +
                            '\n\nDoes this structure look good?\n(y/n)--> ')

                view(ase_new)
                if raw_input(question).lower() in ['y', 'yes']:
                    if checkForDuplicates(ase_new, structure, emt):

                        newquestion = 'What structure does this have?\n(leave blank for general triclinic case)\n--> '
                        structure = raw_input(newquestion)
                        if structure is '': structure = 'triclinic'

                        info = {
                            'name': nameinit + '_%s-%s' % (inter, siteName),
                            'emt':
                            emt  # EMT for relaxed structures useless, only relevant for deciding when to relax something
                            ,
                            'relaxed':
                            False  # Could always doing this be a problem?
                            ,
                            'comments': 'Generated from initializeHydride.py',
                            'parent': aseinitID,
                            'kind': 'bulk',
                            'structure': structure,
                            'interstitial': siteName
                        }
                        if vacancies is not None: info['vacancies'] = vacancies

                        newaseid = asedb.write(ase_new, key_value_pairs=info)

                        newjob = Job(None, 'bulkrelax', newaseid, None, None,
                                     xc, pw, kptden, psp, xtol, strain,
                                     2 if xc == 'mBEEF' else 1, precalc,
                                     dftcode, None, None, 'initialized')

                        insertObject(newjob)
Пример #12
0
    0, 0, 0, 0, 0, 0, 12, 13, 11, 15, 16, 15, 16, 11, 12, 13, 14, 8, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 8, 8
])
sgs15 = PSP(
    'sgs_15', '/scratch/users/ksb/gpaw/gpaw_sg15/norm_conserving_setups', [
        1, 0, 3, 4, 3, 4, 5, 6, 7, 0, 9, 10, 3, 4, 5, 6, 7, 0, 9, 10, 11, 12,
        13, 14, 15, 16, 17, 18, 19, 20, 19, 12, 5, 6, 7, 0, 9, 10, 11, 12, 13,
        14, 15, 16, 15, 16, 19, 12, 13, 14, 15, 6, 7, 0, 9, 10, 11, 0, 0, 0, 0,
        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 13, 11, 15, 16, 15, 16, 11, 12, 13,
        14, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 8
    ])

pspDomain = [gbrv15pbe, sgs15]

for p in pspDomain:
    insertObject(p)

################################
# Add XC Functionals to Database
################################
# Define domain of XC's to consider
PBE = XC('PBE', [[]])
BEEF = XC('BEEF', [[]])
mBEEF = XC('mBEEF', [[]])

xcDomain = [PBE, BEEF, mBEEF]

for x in xcDomain:
    insertObject(x)

################################