def projectVolume(volfile, eulerdocfile, projstackfile, numpart, pixrad, dataext=".spi"):
"""
project 3D volumes using given Euler angles
"""
starttime = time.time()
volfile = spyder.fileFilter(volfile)
eulerdocfile = spyder.fileFilter(eulerdocfile)
projstackfile = spyder.fileFilter(projstackfile)
if not os.path.isfile(volfile+dataext):
apDisplay.printError("volume file not found: "+volfile+dataext)
if not os.path.isfile(eulerdocfile+dataext):
apDisplay.printError("euler doc file not found: "+eulerdocfile+dataext)
apFile.removeFile(projstackfile)
nproc = apParam.getNumProcessors()
mySpider = spyder.SpiderSession(dataext=dataext, logo=True, nproc=nproc, log=False)
mySpider.toSpider("PJ 3Q",
volfile, #input vol file
str(pixrad), #pixel radius
"1-%d"%(numpart), #number of particles
eulerdocfile, #Euler DOC file
projstackfile+"@*****", #output projections
)
mySpider.close()
apDisplay.printColor("finished projections in "+apDisplay.timeString(time.time()-starttime), "cyan")
return
def createSpiderFile(self):
"""
takes the stack file and creates a spider file ready for processing
"""
emancmd = "proc2d "
if not os.path.isfile(self.stack['file']):
apDisplay.printError("stackfile does not exist: "+self.stack['file'])
emancmd += self.stack['file']+" "
spiderstack = os.path.join(self.params['rundir'], "start.spi")
apFile.removeFile(spiderstack, warn=True)
emancmd += spiderstack+" "
emancmd += "apix="+str(self.stack['apix'])+" "
if self.params['lowpass'] > 0:
emancmd += "lp="+str(self.params['lowpass'])+" "
if self.params['highpass'] > 0:
emancmd += "hp="+str(self.params['highpass'])+" "
if self.params['bin'] > 1:
clipboxsize = self.boxsize*self.params['bin']
emancmd += "shrink="+str(self.params['bin'])+" "
emancmd += "clip="+str(clipboxsize)+","+str(clipboxsize)+" "
emancmd += "last="+str(self.params['numpart']-1)+" "
emancmd += "spider edgenorm"
starttime = time.time()
apDisplay.printColor("Running spider stack conversion this can take a while", "cyan")
apEMAN.executeEmanCmd(emancmd, verbose=True)
apDisplay.printColor("finished eman in "+apDisplay.timeString(time.time()-starttime), "cyan")
return spiderstack
def convertSQLtoEulerTree(self, results):
t0 = time.time()
eulertree = []
for row in results:
if len(row) < 11:
apDisplay.printError("delete MySQL cache file and run again")
try:
eulerpair = { 'part1': {}, 'part2': {} }
eulerpair['part1']['partid'] = int(row[0])
eulerpair['part1']['dbid'] = int(row[1])
eulerpair['part1']['euler1'] = float(row[2])
eulerpair['part1']['euler2'] = float(row[3])
eulerpair['part1']['euler3'] = float(row[4])
eulerpair['part1']['mirror'] = self.nullOrValue(row[5])
eulerpair['part1']['reject'] = not self.nullOrValue(row[6])
eulerpair['part1']['tilt'] = apStack.getStackParticleTilt(eulerpair['part1']['dbid'])
eulerpair['part2']['partid'] = int(row[7])
eulerpair['part2']['dbid'] = int(row[8])
eulerpair['part2']['euler1'] = float(row[9])
eulerpair['part2']['euler2'] = float(row[10])
eulerpair['part2']['euler3'] = float(row[11])
eulerpair['part2']['mirror'] = self.nullOrValue(row[12])
eulerpair['part2']['reject'] = not self.nullOrValue(row[13])
eulerpair['part2']['tilt'] = apStack.getStackParticleTilt(eulerpair['part2']['dbid'])
eulertree.append(eulerpair)
except:
print row
apDisplay.printError("bad row entry")
apDisplay.printMsg("Converted "+str(len(eulertree))+" eulers in "+apDisplay.timeString(time.time()-t0))
return eulertree
def rctParticleShift(volfile, origstackfile, eulerdocfile, iternum, numpart, pixrad, timestamp, dataext=".spi"):
"""
inputs:
stack, in spider format
eulerdocfile
outputs:
volume
"""
starttime = time.time()
### create corresponding projections
projstackfile = "projstack%s-%03d.spi"%(timestamp, iternum)
projectVolume(volfile, eulerdocfile, projstackfile, numpart, pixrad, dataext)
### clean up files
ccdocfile = "ccdocfile%s-%03d.spi"%(timestamp, iternum)
apFile.removeFile(ccdocfile)
alignstackfile = "alignstack%s-%03d.spi"%(timestamp, iternum)
apFile.removeFile(alignstackfile)
### align particles to projection
apDisplay.printMsg("Shifting particles")
crossCorrelateAndShift(origstackfile, projstackfile, alignstackfile, ccdocfile, numpart)
if not os.path.isfile(alignstackfile):
apDisplay.printError("aligned stack file not found: "+alignstackfile)
apDisplay.printColor("finished correlations in "+apDisplay.timeString(time.time()-starttime), "cyan")
return alignstackfile
def fillSimilarityMatrix(self, alignedstack):
### Get initial correlation values
### this is really, really slow
similarfile = "similarities.dat"
simstack = similarityStack()
simstack.similarfile = similarfile
simstack.start(alignedstack)
if not os.path.isfile(similarfile):
apDisplay.printError("Failed to create similarity file")
simf = open(similarfile, 'r')
simlist = []
count = 0
for line in simf:
count += 1
sline = line.strip()
slist = sline.split()
ccval = float(slist[2])
simlist.append(ccval)
simf.close()
apDisplay.printMsg("There are %d lines in the sim file: %s"%(count, similarfile))
numpart = apFile.numImagesInStack(alignedstack)
if count != numpart*(numpart-1):
### we have a valid file already
apDisplay.printError("There are only %d lines need to have %d"%(count, numpart*(numpart-1)))
return similarfile, simlist
def start(self):
aligndata = appiondata.ApAlignStackData.direct_query(self.params['alignstackid'])
boxsize = aligndata['boxsize']
apix = aligndata['pixelsize']
maskpixrad = self.params['maskrad']/apix
if maskpixrad*2 > boxsize-2:
apDisplay.printError("Mask radius is too big for boxsize: %d > %d"%(maskpixrad*2,boxsize-2))
apDisplay.printMsg("Mask radius and boxsize: %.1f < %d"%(maskpixrad*2,boxsize-2))
self.instack = os.path.join(aligndata['path']['path'], aligndata['imagicfile'])
outdata = "stack.data"
apXmipp.convertStackToXmippData(self.instack, outdata, maskpixrad,
boxsize, numpart=self.params['numpart']-1)
self.runKerdenSOM(outdata)
if apFile.stackSize(self.instack) > 3.0*(1024**3):
# Big stacks use eman
self.createMontageByEMAN()
binned = None
else:
binned = self.createMontageInMemory(apix)
self.insertKerDenSOM(binned=binned)
apFile.removeFile(outdata)
apFile.removeFilePattern("*.cod")
def getImagesInDirectory(self, directory):
searchstring = os.path.join(directory, "*.mrc")
mrclist = glob.glob(searchstring)
if len(mrclist) == 0:
apDisplay.printError("Did not find any images to upload")
mrclist.sort()
return mrclist
def runEoTest(self, corrSelectOdd, corrSelectEven, cnum, apshstack, apsheuler, iternum):
apshOddVolfile = os.path.join(self.params['rundir'], str(cnum), "apshVolume_Odd-%03d.spi"%(iternum))
apshEvenVolfile = os.path.join(self.params['rundir'], str(cnum), "apshVolume_Even-%03d.spi"%(iternum))
self.APSHbackProject(apshstack, apsheuler, apshOddVolfile, cnum, corrSelectOdd)
self.APSHbackProject(apshstack, apsheuler, apshEvenVolfile, cnum, corrSelectEven)
fscout = os.path.join(self.params['rundir'], str(cnum), "FSCout-%03d.spi"%(iternum))
backproject.calcFSC(apshOddVolfile, apshEvenVolfile, fscout)
### Calculate FSC - taken from Neil's RCT script
apix = apStack.getStackPixelSizeFromStackId(self.params['tiltstackid'])*self.params['tiltbin']
emancmd = "proc3d %s %s"%(apshEvenVolfile, apshEvenVolfile+".mrc")
apEMAN.executeEmanCmd(emancmd, verbose=True, showcmd=True)
emancmd = "proc3d %s %s"%(apshOddVolfile, apshOddVolfile+".mrc")
apEMAN.executeEmanCmd(emancmd, verbose=True, showcmd=True)
fscfile = os.path.join(self.params['rundir'], "fscdata%s.fsc"%(self.timestamp))
emancmd = "proc3d %s %s fsc=%s"%(apshEvenVolfile+".mrc", apshOddVolfile+".mrc", fscfile)
apEMAN.executeEmanCmd(emancmd, verbose=True, showcmd=True)
if not os.path.isfile(fscfile):
apDisplay.printError("Even-Odd fsc calculation failed")
boxsize = self.getBoxSize()
self.fscresolution = apRecon.getResolutionFromFSCFile(fscfile, boxsize, apix, msg=True)
apDisplay.printColor( ("Final FSC resolution: %.5f" % (self.fscresolution)), "cyan")
return fscout
def boxFileToPeakTree(self, imgdata):
boxfile = imgdata['filename']+".box"
if self.params['coordtype'] == "xmipp":
boxfile = imgdata['filename']+".pos"
if not os.path.isfile(boxfile):
apDisplay.printError("Could not find box file "+boxfile)
f = open(boxfile, "r")
peaktree = []
for line in f:
sline = line.strip()
cols = sline.split()
if self.params['coordtype'] == "xmipp":
if len(cols)>2 or cols[0][0]=="#":
continue
xcoord = float(cols[0]) * self.params['bin']
ycoord = float(cols[1]) * self.params['bin']
else:
xcoord = (float(cols[0]) + float(cols[2])/2.)* self.params['bin']
ycoord = (float(cols[1]) + float(cols[3])/2.)* self.params['bin']
peakdict = {
'diameter': self.params['diam'],
'xcoord': xcoord,
'ycoord': ycoord,
'peakarea': 10,
}
peaktree.append(peakdict)
return peaktree
def convertStackToSpider(self, emanstackfile, classnum):
"""
takes the stack file and creates a spider file ready for processing
"""
if not os.path.isfile(emanstackfile):
apDisplay.printError("stackfile does not exist: "+emanstackfile)
### first high pass filter particles
apDisplay.printMsg("pre-filtering particles")
apix = apStack.getStackPixelSizeFromStackId(self.params['tiltstackid'])
emancmd = ("proc2d "+emanstackfile+" "+emanstackfile
+" apix="+str(apix)+" hp="+str(self.params['highpasspart'])
+" inplace")
apEMAN.executeEmanCmd(emancmd, verbose=True)
### convert imagic stack to spider
emancmd = "proc2d "
emancmd += emanstackfile+" "
spiderstack = os.path.join(self.params['rundir'], str(classnum), "otrstack"+self.timestamp+".spi")
apFile.removeFile(spiderstack, warn=True)
emancmd += spiderstack+" "
emancmd += "spiderswap edgenorm"
starttime = time.time()
apDisplay.printColor("Running spider stack conversion this can take a while", "cyan")
apEMAN.executeEmanCmd(emancmd, verbose=True)
apDisplay.printColor("finished eman in "+apDisplay.timeString(time.time()-starttime), "cyan")
return spiderstack
def getGoodParticles(self, classpartdatas, norefclassnum):
includeParticle = []
tiltParticlesData = []
nopairParticle = 0
excludeParticle = 0
apDisplay.printMsg("sorting particles")
for classpart in classpartdatas:
#write to text file
classnum = classpart['classNumber']-1
if classnum == norefclassnum:
notstackpartnum = classpart['noref_particle']['particle']['particleNumber']
tiltstackpartdata = apTiltPair.getStackParticleTiltPair(self.params['notstackid'],
notstackpartnum, self.params['tiltstackid'])
if tiltstackpartdata is None:
nopairParticle += 1
else:
emantiltstackpartnum = tiltstackpartdata['particleNumber']-1
includeParticle.append(emantiltstackpartnum)
tiltParticlesData.append(tiltstackpartdata)
else:
excludeParticle += 1
includeParticle.sort()
apDisplay.printMsg("Keeping "+str(len(includeParticle))+" and excluding \n\t"
+str(excludeParticle)+" particles with "+str(nopairParticle)+" unpaired particles")
if len(includeParticle) < 1:
apDisplay.printError("No particles were kept")
return includeParticle, tiltParticlesData
def findLastCompletedIteration(self):
#recondir = os.path.join(self.params['rundir'], "recon")
recondir = self.params['rundir']
iternum = 0
stop = False
while stop is False:
## check if iteration is complete
iternum += 1
class1Volume = "recon_it%03d_half1_model.star"%(iternum)
class2Volume = "recon_it%03d_half2_model.star"%(iternum)
class1Volumepath = os.path.join(recondir,class1Volume)
class2Volumepath = os.path.join(recondir,class2Volume)
if not os.path.isfile(class1Volumepath) or not os.path.isfile(class2Volumepath):
apDisplay.printWarning("Model.star file %s or %s is missing"%(class1Volumepath, class2Volumepath))
stop = True
break
### set last working iteration
numiter = iternum-1
if numiter < 1:
apDisplay.printError("No iterations were found")
apDisplay.printColor("Found %d complete iterations"%(numiter), "green")
return numiter
def parseParticleDataIterationFile(self,paramfile,test=False):
'''
parse data.star file from Relion 1.2:
'''
if not os.path.isfile(paramfile):
apDisplay.printError("Relion data.star file does not exist: %s" % (paramfile))
apDisplay.printMsg("Parsing parameter file: %s" % (paramfile))
# Use the star file class to read the parameter file
f = starFile.StarFile( paramfile )
f.read()
dataBlock = f.getDataBlock("data_images")
loopDict = dataBlock.getLoopDict() # there is only one loop in the data_images block
partnum = 1 # partnum starts with 1, not 0
partdict = {}
for valueSet in loopDict:
paramdict = {
'partnum' : partnum,
'angleRot' : float(valueSet["_rlnAngleRot"]),
'angleTilt' : float(valueSet["_rlnAngleTilt"]),
'anglePsi' : float(valueSet["_rlnAnglePsi"]),
'originX' : float(valueSet["_rlnOriginX"]),
'originY' : float(valueSet["_rlnOriginY"]),
}
partdict[paramdict['partnum']] = paramdict
partnum = partnum + 1
if len(partdict) < 2:
apDisplay.printError("No particles found in particle data file %s" % (paramfile))
apDisplay.printMsg("Processed %d particles" % (len(partdict)))
return partdict
def processImage(self, imgdata):
"""
this is the main component of the script
where all the processing is done
"""
apDisplay.printError("you did not create a 'processImage' function in your script")
raise NotImplementedError()
def getTiltTransformFromParticle(partdata):
t0 = time.time()
### figure out if its particle 1 or 2
tiltpartq1 = appiondata.ApTiltParticlePairData()
tiltpartq1['particle1'] = partdata
tiltpartdatas1 = tiltpartq1.query(results=1, readimages=False)
tiltpartq2 = appiondata.ApTiltParticlePairData()
tiltpartq2['particle2'] = partdata
tiltpartdatas2 = tiltpartq2.query(results=1, readimages=False)
if tiltpartdatas1 and not tiltpartdatas2:
imgnum = 1
transformdata = tiltpartdatas1[0]['transform']
otherpartdata = tiltpartdatas1[0]['particle2']
elif not tiltpartdatas1 and tiltpartdatas2:
imgnum = 2
transformdata = tiltpartdatas2[0]['transform']
otherpartdata = tiltpartdatas2[0]['particle1']
else:
print partdata
print tiltpartdatas1
print tiltpartdatas2
apDisplay.printError("failed to get tilt pair data")
if time.time()-t0 > 1.0:
apDisplay.printMsg("long getTiltTransFromPart1 "+apDisplay.timeString(time.time()-t0))
return imgnum, transformdata, otherpartdata
def getParticleTiltRotationAnglesOTR(stackpartdata):
partdata = stackpartdata['particle']
imgnum, transformdata, otherpartdata = getTiltTransformFromParticle(partdata)
t0 = time.time()
tiltangle1, tiltangle2 = apDatabase.getTiltAnglesDegFromTransform(transformdata)
if time.time()-t0 > 1.0:
apDisplay.printMsg("long angle query "+apDisplay.timeString(time.time()-t0))
if imgnum == 1:
### negative case, tilt picker theta < 0
tiltrot = transformdata['image1_rotation']
theta = transformdata['tilt_angle']
notrot = transformdata['image2_rotation']
tiltangle = tiltangle1 - tiltangle2
elif imgnum == 2:
### positive case, tilt picker theta > 0
tiltrot = transformdata['image2_rotation']
theta = transformdata['tilt_angle']
notrot = transformdata['image1_rotation']
tiltangle = tiltangle2 - tiltangle1
else:
#no particle pair info was found or some other problem
print partdata
apDisplay.printError("failed to get tilt pair data or some other problem")
if transformdata.timestamp < datetime.datetime(2009, 2, 19, 0, 0, 0):
### bugfix for switched tilt axis angles, before Feb 19, 2009
#apDisplay.printWarning("Switching angles")
temprot = notrot
notrot = tiltrot
tiltrot = temprot
#print "tr=%.2f, th=%.2f, nr=%.2f, tilt=%.2f"%(tiltrot, theta, notrot, tiltangle)
return tiltrot, theta, notrot, tiltangle
def normalizeVol(volfile, dataext=".spi"):
"""
inputs:
volume
outputs:
volume
"""
### setup
starttime = time.time()
volfile = spyder.fileFilter(volfile)
if not os.path.isfile(volfile+dataext):
apDisplay.printError("volume file not found: "+volfile+dataext)
mySpider = spyder.SpiderSession(dataext=dataext, logo=True)
### read out the statistics of the volume
mySpider.toSpider("FS x11,x12",
volfile, #filename for volume
)
mySpider.toSpider("IF(x12.LT.0.0)x12=-x12")
### set all values to positive
mySpider.toSpider("AR",
volfile, #filename for volume
"_1",
"(P1+x12)",
)
### save file
mySpider.toSpider("CP",
"_1",
volfile, #filename for volume
)
mySpider.close()
apDisplay.printColor("finished normalizing the volume to set all values to be positive"+apDisplay.timeString(time.time()-starttime), "cyan")
return
def readBatchUploadInfo(self):
# in this example, the batch script file should be separated by tab
# see example in function readUploadInfo for format
batchfilename = self.params['batchscript']
if not os.path.exists(batchfilename):
apDisplay.printError('Batch file %s not exist' % batchfilename)
return []
batchfile = open(batchfilename,'r')
lines = batchfile.readlines()
batchfile.close()
batchinfo = []
count = 0
for line in lines:
count += 1
#remove white space at ends
sline = line.strip()
if ' ' in sline:
apDisplay.printWarning("There is a space in the batch file on line %d"%(count))
#remove white space at ends
cols = sline.split('\t')
if len(cols) > 1:
batchinfo.append(cols)
else:
apDisplay.printWarning("Skipping line %d"%(count))
return batchinfo
def setupJob(self, scratchdir, imgdata, command):
jobname=imgdata['filename']+'.csh'
jobpath=os.path.join(scratchdir,jobname)
f=open(jobpath,'w')
f.write('#!/bin/csh\n')
if self.params['queue_style']=='MOAB' or self.params['queue_style']=='PBS':
f.write('#%s -l nodes=1:ppn=%d\n' % (self.params['queue_style'], self.params['queue_ppn']))
f.write('#%s -l walltime=%d:00:00\n' % (self.params['queue_style'], self.params['walltime']))
f.write('#%s -l pmem=%dgb\n\n' % (self.params['queue_style'], self.params['queue_memory']))
elif self.params['queue_style']=='SLURM':
f.write('#SBATCH -N 1\n')
f.write('#SBATCH -n %d\n' % (self.params['queue_ppn']))
f.write('#SBATCH -t %d:00:00\n' % (self.params['walltime']))
f.write('#SBATCH --mem-per-cpu=%dG\n\n' % (self.params['queue_memory'])) # in gigabytes
else:
apDisplay.printError('Queue style %s not supported' % (self.params['queue_style']))
f.write('cd %s\n\n' % scratchdir )
s=''
for arg in command:
s+=arg
s+=' '
if len(s) > 75:
f.write('%s \\\n' % s )
s=' '
f.write('%s \n' % s )
donefile=imgdata['filename']+'.done'
f.write('touch %s\n' % (donefile) )
f.write('%s \n' % s )
f.close()
print jobpath
return(jobname,donefile)
def backprojectCG(stackfile, eulerdocfile, volfile, numpart, pixrad, dataext=".spi"):
"""
inputs:
stack, in spider format
eulerdocfile
outputs:
volume
"""
### setup
starttime = time.time()
stackfile = spyder.fileFilter(stackfile)
eulerdocfile = spyder.fileFilter(eulerdocfile)
volfile = spyder.fileFilter(volfile)
if not os.path.isfile(stackfile+dataext):
apDisplay.printError("stack file not found: "+stackfile+dataext)
if not os.path.isfile(eulerdocfile+dataext):
apDisplay.printError("euler doc file not found: "+eulerdocfile+dataext)
apFile.removeFile(volfile+dataext)
nproc = apParam.getNumProcessors()
mySpider = spyder.SpiderSession(dataext=dataext, logo=True, nproc=nproc, log=False)
mySpider.toSpider("BP CG",
stackfile+"@*****", #stack file
"1-%d"%(numpart), #number of particles
str(pixrad), #particle radius
eulerdocfile, #angle doc file
"N", #has symmetry?, does not work
volfile, #filename for volume
"%.1e,%.1f" % (1.0e-5, 0.0), #error, chi^2 limits
"%d,%d" % (25,1), #iterations, 1st derivative mode
"2000", #lambda - higher=less sensitive to noise
)
mySpider.close()
apDisplay.printColor("finished backprojection in "+apDisplay.timeString(time.time()-starttime), "cyan")
return
def backproject3F(stackfile, eulerdocfile, volfile, numpart, dataext=".spi"):
"""
inputs:
stack, in spider format
eulerdocfile
outputs:
volume
"""
### setup
starttime = time.time()
stackfile = spyder.fileFilter(stackfile)
eulerdocfile = spyder.fileFilter(eulerdocfile)
volfile = spyder.fileFilter(volfile)
if not os.path.isfile(stackfile+dataext):
apDisplay.printError("stack file not found: "+stackfile+dataext)
if not os.path.isfile(eulerdocfile+dataext):
apDisplay.printError("euler doc file not found: "+eulerdocfile+dataext)
apFile.removeFile(volfile+dataext)
nproc = apParam.getNumProcessors()
mySpider = spyder.SpiderSession(dataext=dataext, logo=True, nproc=nproc, log=False)
mySpider.toSpider("BP 3F",
stackfile+"@*****", #stack file
"1-%d"%(numpart), #number of particles
eulerdocfile, #angle doc file
"*", #input symmetry file, '*' for skip
volfile, #filename for volume
)
mySpider.close()
apDisplay.printColor("finished backprojection in "+apDisplay.timeString(time.time()-starttime), "cyan")
return
def createParamsFromGoodAligner(self,alignerid):
q = appiondata.ApTomoAlignerParamsData()
alignerdata = q.direct_query(alignerid)
self.params['goodcycle'] = alignerdata['refine_cycle']['cycle']
alignrundata = alignerdata['alignrun']
if self.params['runname'] is None:
self.params['runname'] = alignrundata['name']
else:
if self.params['runname'] != alignrundata['name']:
apDisplay.printError("Alignment run name can not be changed between cycles")
if self.params['description'] is None:
self.params['description'] = alignrundata['description']
q = appiondata.ApTiltsInAlignRunData(alignrun=alignrundata)
results = q.query()
if results:
if len(results) == 1:
tiltdata = results[0]['tiltseries']
self.params['tiltseries'] = tiltdata
self.params['tiltseriesnumber'] = tiltdata['number']
self.params['othertiltseries'] = None
else:
runpathdata = alignrundata['path']
for tiltdata in results:
pathdata = tiltdata['path']
if pathdata.dbid == runpathdata.dbid:
self.params['tiltseries'] = tiltdata
self.params['tiltseriesnumber'] = tiltdata['number']
else:
self.params['othertiltseries'] = tiltdata
self.params['othertilt'] = tiltdata['number']
def readRunParameters(paramfile):
if not os.path.isfile(paramfile):
apDisplay.printError("Could not find run parameters file: "+paramfile)
pf = open(paramfile, "r")
runparams = cPickle.load(pf)
pf.close()
return runparams
def getAppionDirectory():
"""
Used by appionLoop and ScriptProgramRun logging in all appionScript
"""
appiondir = None
this_file = inspect.currentframe().f_code.co_filename
libdir = os.path.dirname(this_file)
libdir = os.path.abspath(libdir)
trypath = os.path.dirname(libdir)
if os.path.isdir(trypath):
appiondir = trypath
return appiondir
trypath = os.environ.get('APPIONDIR')
if trypath and os.path.isdir(trypath):
appiondir = trypath
return appiondir
user = os.getlogin() #os.environ.get('USER')
trypath = "/home/"+user+"/pyappion"
if os.path.isdir(trypath):
appiondir = trypath
return appiondir
apDisplay.printError("environmental variable, APPIONDIR, is not defined.\n"+
"Did you source useappion.sh?")
def start(self):
### universal particle counter
self.partnum = 1
### final stack file
self.combinefile = os.path.join( self.params['rundir'], self.params['stackfilename'] )
if os.path.isfile(self.combinefile):
apDisplay.printError("A stack with name "+self.params['stackfilename']+" and path "
+self.params['rundir']+" already exists.")
### loop through stacks
for stackstr in self.params['stackids']:
stackid = int(stackstr)
### get stack data
stackdata = apStack.getOnlyStackData(stackid)
### append particle to stack file
self.appendToStack(stackdata)
if self.params['commit'] is True:
### insert stack data
apDisplay.printColor("inserting new stack particles from stackid="+str(stackid), "cyan")
self.commitStack(stackid)
else:
apDisplay.printWarning("not committing data to database")
apStack.averageStack(stack=self.combinefile)
def createSpiderFile(self):
"""
takes the stack file and creates a spider file ready for processing
"""
emancmd = "proc2d "
if not os.path.isfile(self.stack["file"]):
apDisplay.printError("stackfile does not exist: " + self.stack["file"])
emancmd += self.stack["file"] + " "
spiderstack = os.path.join(self.params["rundir"], "start.spi")
apFile.removeFile(spiderstack, warn=True)
emancmd += spiderstack + " "
emancmd += "apix=" + str(self.stack["apix"]) + " "
if self.params["lowpass"] > 0:
emancmd += "lp=" + str(self.params["lowpass"]) + " "
emancmd += "last=" + str(self.params["numpart"] - 1) + " "
emancmd += "shrink=" + str(self.params["bin"]) + " "
clipsize = int(math.floor(self.stack["boxsize"] / self.params["bin"] / 2.0) * self.params["bin"] * 2)
emancmd += "clip=" + str(clipsize) + "," + str(clipsize) + " "
emancmd += "spiderswap edgenorm"
starttime = time.time()
apDisplay.printColor("Running spider stack conversion this can take a while", "cyan")
apEMAN.executeEmanCmd(emancmd, verbose=True)
apDisplay.printColor("finished eman in " + apDisplay.timeString(time.time() - starttime), "cyan")
return spiderstack
def start(self):
self.setFileName()
scale = float(self.params['oldapix'])/self.params['newapix']
mrcname = os.path.join(self.params['rundir'], self.params['name']+".mrc")
origmodel = self.params['file']
if os.path.isfile(mrcname):
apDisplay.printError("File exists")
if (abs(self.params['oldapix'] - self.params['newapix']) > 1.0e-2 or
abs(self.params['oldbox'] - self.params['newbox']) > 1.0e-1):
### rescale old model to a new size
apDisplay.printWarning("rescaling original model to a new size")
scale = float(self.params['oldapix'])/self.params['newapix']
apDisplay.printMsg("rescaling model by scale factor of %.4f"%(scale))
apVolume.rescaleVolume(origmodel, mrcname,
self.params['oldapix'], self.params['newapix'], self.params['newbox'])
else:
### simple upload, just copy file to models folder
apDisplay.printMsg("copying original model to a new location: "+mrcname)
shutil.copyfile(origmodel, mrcname)
if self.params['viper2eman'] is True:
apVolume.viper2eman(mrcname, mrcname, apix=self.params['newapix'])
### render chimera images of model
contour = self.params['contour']
if self.params['mass'] is not None:
apChimera.setVolumeMass(mrcname, self.params['newapix'], self.params['mass'])
contour = 1.0
apChimera.renderSnapshots(mrcname, contour=contour,
zoom=self.params['zoom'], sym=self.params['symdata']['eman_name'])
self.insertModel(mrcname)
def readRunParameters(self):
paramfile = "simple-"+self.params['timestamp']+"-params.pickle"
if not os.path.isfile(paramfile):
apDisplay.printError("Could not find run parameters file: "+paramfile)
f = open(paramfile, "r")
runparams = cPickle.load(f)
return runparams
def _initializeDoneDict(self):
"""
reads or creates a done dictionary
"""
self.donedictfile = os.path.join(self.params['rundir'] , self.functionname+".donedict")
if os.path.isfile(self.donedictfile) and self.params['continue'] == True:
### unpickle previously done dictionary
apDisplay.printMsg("Reading old done dictionary: "+os.path.basename(self.donedictfile))
f = open(self.donedictfile,'r')
self.donedict = cPickle.load(f)
f.close()
if not 'commit' in self.donedict or self.donedict['commit'] == self.params['commit']:
### all is well
apDisplay.printMsg("Found "+str(len(self.donedict))+" done dictionary entries")
return
elif self.donedict['commit'] is True and self.params['commit'] is not True:
### die
apDisplay.printError("Commit flag was enabled and is now disabled, create a new runname")
else:
### set up fresh dictionary
apDisplay.printWarning("'--commit' flag was changed, creating new done dictionary")
### set up fresh dictionary
self.donedict = {}
self.donedict['commit'] = self.params['commit']
apDisplay.printMsg("Creating new done dictionary: "+os.path.basename(self.donedictfile))
### write donedict to file
f = open(self.donedictfile, 'w', 0666)
cPickle.dump(self.donedict, f)
f.close()
return
def getNumberOfIterations(self):
iternum = 0
stop = False
while stop is False:
## check if iteration is complete
iternum += 1
paramfile = "params.iter%03d.par"%(iternum)
if not os.path.isfile(paramfile):
apDisplay.printWarning("Parameter file %s is missing"%(paramfile))
stop = True
break
imagicvolume = "threed.%03da.hed"%(iternum)
if not os.path.isfile(imagicvolume):
apDisplay.printWarning("Volume file %s is missing"%(imagicvolume))
stop = True
break
combineshell = "iter%03d/frealign.iter%03d.combine.sh"%(iternum, iternum)
if not os.path.isfile(combineshell):
apDisplay.printWarning("Shell file %s is missing"%(combineshell))
stop = True
break
### set last working iteration
numiter = iternum-1
if numiter < 1:
apDisplay.printError("No iterations were found")
apDisplay.printColor("Found %d complete iterations"%(numiter), "green")
return numiter
return params
if __name__=="__main__":
params = parseOptions()
apProject.setDBfromProjectId(params['projectid'])
stackdata = apStack.getOnlyStackData(params['stackid'])
stackpath = stackdata['path']['path']
# generate stack if it doesn't exist.
if not os.path.isdir(stackpath):
os.makedirs(stackpath)
fname = os.path.join(stackpath, stackdata['name'])
# check if stack file already exists
if os.path.isfile(fname):
apDisplay.printError("file: '%s' already exists"%fname)
vstackdata = apStack.getVirtualStackParticlesFromId(params['stackid'])
plist = [int(p['particleNumber'])-1 for p in vstackdata['particles']]
a = proc2dLib.RunProc2d()
a.setValue('infile',vstackdata['filename'])
a.setValue('outfile',fname)
a.setValue('list',plist)
a.setValue('apix',apStack.getStackPixelSizeFromStackId(params['stackid']))
apDisplay.printMsg("generating stack: '%s' with %i particles"%(fname,len(plist)))
a.run()
outavg = os.path.join(stackpath, "average.mrc")
if not os.path.isfile(outavg):
def insertRefineParticleData(self,
cls,
iteration,
eulers,
badprtls,
refineq,
numcls,
euler_convention='zxz'):
# get the corresponding proj number & eulers from filename
replace = re.compile('\D')
projnum = int(replace.sub('', cls))
clsfilename = os.path.join(self.params['tmpdir'], cls)
sys.stderr.write(".")
#f=open(clsfilename)
#apDisplay.printMsg("Class "+str(projnum+1)+" of "+str(numcls)+": inserting "
# +str(len(f.readlines())-2)+" particles")
#f.close()
# for each cls file get alignments for particles
f = open(clsfilename)
coranfail = False
for line in f:
# skip line if not a particle
if re.search("start", line):
prtlaliq = appiondata.ApRefineParticleData()
# gather alignment data from line
ali = line.split()
prtlnum = int(ali[0])
# check if bad particle
if prtlnum in badprtls:
prtlaliq['refine_keep'] = False
else:
prtlaliq['refine_keep'] = True
prtlnum += 1 # offset for EMAN
qualf = float(ali[2].strip(','))
other = ali[3].split(',')
rot = float(other[0]) * 180. / math.pi
shx = float(other[1])
shy = float(other[2])
if (other[3] == '1'):
prtlaliq['mirror'] = True
# SPIDER coran kept particle
corank = None
if self.params['package'] == 'EMAN/SpiCoran':
if len(other) > 4:
corank = bool(int(other[4]))
else:
if coranfail is False:
apDisplay.printWarning(
"Coran failed on this iteration")
coranfail = True
# message passing kept particle
if self.params['package'] == 'EMAN/MsgP' and len(ali) > 4:
msgk = bool(int(ali[4]))
else:
msgk = None
# find particle in stack database
defid = self.stackmapping[prtlnum]
stackp = appiondata.ApStackParticleData.direct_query(defid)
if not stackp:
apDisplay.printError("particle " + str(prtlnum) +
" not in stack id=" +
str(self.params['stack'].dbid))
# insert classification info
prtlaliq['refineIter'] = refineq
prtlaliq['particle'] = stackp
prtlaliq['shiftx'] = shx
prtlaliq['shifty'] = shy
prtlaliq['euler1'] = eulers[projnum][0]
prtlaliq['euler2'] = eulers[projnum][1]
prtlaliq['euler3'] = rot
prtlaliq['quality_factor'] = qualf
if self.params['package'] == 'EMAN/MsgP':
prtlaliq['postRefine_keep'] = msgk
else:
prtlaliq['postRefine_keep'] = corank
prtlaliq['euler_convention'] = euler_convention
#apDisplay.printMsg("inserting Particle Classification Data into database")
if self.params['commit'] is True:
prtlaliq.insert()
f.close()
return
def checkConflicts(self):
if self.params['stackid'] is None:
apDisplay.printError("stack id was not defined")
if self.params['modelid'] is None:
apDisplay.printError("model id was not defined")
if self.params['runname'] is None:
apDisplay.printError("missing a reconstruction name")
if self.params['last'] is None:
self.params['last'] = apStack.getNumberStackParticlesFromId(self.params['stackid'])
self.boxsize = apStack.getStackBoxsize(self.params['stackid'], msg=False)
self.apix = apStack.getStackPixelSizeFromStackId(self.params['stackid'])
if self.params['reconstackid'] is not None:
reconboxsize = apStack.getStackBoxsize(self.params['reconstackid'], msg=False)
reconapix = apStack.getStackPixelSizeFromStackId(self.params['reconstackid'])
refinenumpart = apStack.getNumberStackParticlesFromId(self.params['stackid'])
reconnumpart = apStack.getNumberStackParticlesFromId(self.params['reconstackid'])
if reconboxsize != self.boxsize:
apDisplay.printError("Boxsize do not match for stacks")
if reconapix != self.apix:
apDisplay.printError("Pixelsize do not match for stacks")
if refinenumpart != reconnumpart:
apDisplay.printError("Number of particles do not match for stacks")
maxmask = math.floor(self.apix*(self.boxsize-10)/2.0)
if self.params['mask'] is None:
apDisplay.printWarning("mask was not defined, setting to boxsize: %d"%(maxmask))
self.params['mask'] = maxmask
if self.params['mask'] > maxmask:
apDisplay.printWarning("mask was too big, setting to boxsize: %d"%(maxmask))
self.params['mask'] = maxmask
if self.params['noctf'] is True:
apDisplay.printWarning("Using no CTF method")
self.params['wgh'] = -1.0
if self.params['nodes'] > 1 and self.params['cluster'] is False:
apDisplay.printError("cluster mode must be enabled to run on more than 1 node")
if self.params['ppn'] is None:
if self.params['cluster'] is True:
apDisplay.printError("you must define ppn for cluster mode")
self.params['ppn'] = apParam.getNumProcessors()
apDisplay.printMsg("Setting number of processors to %d"%(self.params['ppn']))
if self.params['rpn'] is None:
self.params['rpn'] = self.params['ppn']
self.params['nproc'] = self.params['nodes']*self.params['rpn']
### get the symmetry data
if self.params['sym'] is None:
apDisplay.printError("Symmetry was not defined")
else:
self.symmdata = apSymmetry.findSymmetry(self.params['sym'])
self.params['symm_id'] = self.symmdata.dbid
self.params['symm_name'] = self.symmdata['eman_name']
apDisplay.printMsg("Selected symmetry %s with id %s"%(self.symmdata['eman_name'], self.symmdata.dbid))
### set cs value
self.params['cs'] = apInstrument.getCsValueFromSession(self.getSessionData())
def insertRefinementRun(self):
runq = appiondata.ApRefineRunData()
#first two must be unique
runq['runname'] = self.params['runname']
runq['stack'] = self.params['stack']
#Recon upload can be continued
earlyresult = runq.query(results=1)
if earlyresult:
apDisplay.printWarning(
"Run already exists in the database.\nIdentical data will not be reinserted"
)
# empty <> than None for Sinedon query
paramdescription = self.params['description']
if not paramdescription:
paramdescription = None
runq['job'] = self.params['jobinfo']
runq['initialModel'] = self.params['model']
runq['package'] = self.params['package']
runq['path'] = appiondata.ApPathData(
path=os.path.abspath(self.params['rundir']))
runq['description'] = paramdescription
runq['initialModel'] = self.params['model']
runq['num_iter'] = len(self.iterationdatas)
result = runq.query(results=1)
if earlyresult and not result:
if self.params['commit'] is True:
apDisplay.printError("Refinement Run parameters have changed")
else:
apDisplay.printWarning(
"Refinement Run parameters have changed")
# get stack apix
self.params['apix'] = apStack.getStackPixelSizeFromStackId(
self.params['stack'].dbid)
apDisplay.printMsg("inserting Refinement Run into database")
if self.params['commit'] is True:
runq.insert()
else:
apDisplay.printWarning("not committing results to database")
#if we insert runq then this returns no results !!!
# this is a workaround (annoying & bad)
runq = appiondata.ApRefineRunData()
runq['runname'] = self.params['runname']
runq['stack'] = self.params['stack']
runq['job'] = self.params['jobinfo']
runq['initialModel'] = self.params['model']
runq['package'] = self.params['package']
runq['path'] = appiondata.ApPathData(
path=os.path.abspath(self.params['rundir']))
runq['description'] = paramdescription
runq['package'] = self.params['package']
runq['initialModel'] = self.params['model']
result = runq.query(results=1)
# save run entry in the parameters
if result:
self.params['refineRun'] = result[0]
elif self.params['commit'] is True:
apDisplay.printWarning(
"Refinement Run was not found, setting to inserted values")
self.params['refineRun'] = runq
else:
apDisplay.printWarning(
"Refinement Run was not found, setting to 'None'")
self.params['refineRun'] = None
return True
def start(self):
if self.params['rundir'] is None or not os.path.isdir(
self.params['rundir']):
apDisplay.printError("upload directory does not exist: " +
str(self.params['rundir']))
### create temp directory for extracting data
self.params['tmpdir'] = os.path.join(self.params['rundir'], "temp")
apParam.createDirectory(self.params['tmpdir'], warning=True)
### make sure that the stack & model IDs exist in database
emanJobFile = self.findEmanJobFile()
self.params['stack'] = apStack.getOnlyStackData(self.params['stackid'])
self.stackmapping = apRecon.partnum2defid(self.params['stackid'])
self.params['model'] = appiondata.ApInitialModelData.direct_query(
self.params['modelid'])
self.params['boxsize'] = apStack.getStackBoxsize(
self.params['stackid'])
### parse out the refinement parameters from the log file
self.parseLogFile()
### parse out the message passing subclassification parameters from the job/log file
if self.params['package'] == 'EMAN/MsgP':
self.parseMsgPassingParams()
### convert class average files from old to new format
self.convertClassAvgFiles()
### get a list of the files in the directory
self.listFiles()
### create a refinementRun entry in the database
self.insertRefinementRun()
if self.params['euleronly'] is False:
### insert the Iteration info
for iteration in self.iterationdatas:
### if only uploading one iteration, skip to that one
if self.params['oneiter'] and int(
iteration['num']) != self.params['oneiter']:
continue
### if beginning at later iteration, skip to that one
if self.params['startiter'] and int(
iteration['num']) < self.params['startiter']:
continue
### if beginning at later iteration, skip to that one
if self.params['enditer'] and int(
iteration['num']) > self.params['enditer']:
continue
apDisplay.printColor(
"\nUploading iteration " + str(iteration['num']) + " of " +
str(len(self.iterationdatas)) + "\n", "green")
for i in range(75):
sys.stderr.write("#")
sys.stderr.write("\n")
self.insertIteration(iteration)
### calculate euler jumps
if self.params['commit'] is True:
reconrunid = self.params['refineRun'].dbid
stackid = self.params['stack'].dbid
if self.params['oneiter'] is None and len(self.iterationdatas) > 1:
apDisplay.printMsg("calculating euler jumpers for recon=" +
str(reconrunid))
eulerjump = apEulerJump.ApEulerJump()
eulerjump.calculateEulerJumpsForEntireRecon(
reconrunid, stackid)
### coran keep plot
if self.params['package'] == 'EMAN/SpiCoran':
apCoranPlot.makeCoranKeepPlot(reconrunid)
apRecon.setGoodBadParticlesFromReconId(reconrunid)
def insertAffinityPropagationRun(self, classes):
### Preliminary data
numclass = len(classes.keys())
projectid = apProject.getProjectIdFromAlignStackId(self.params['alignstackid'])
alignstackdata = appiondata.ApAlignStackData.direct_query(self.params['alignstackid'])
pathdata = appiondata.ApPathData(path=os.path.abspath(self.params['rundir']))
### Affinity Propagation Params object
affpropq = appiondata.ApAffinityPropagationClusterParamsData()
affpropq['mask_diam'] = 2.0*self.params['maskrad']
affpropq['run_seconds'] = time.time()-self.t0
affpropq['preference_type'] = self.params['preftype']
### Align Analysis Run object
analysisq = appiondata.ApAlignAnalysisRunData()
analysisq['runname'] = self.params['runname']
analysisq['path'] = pathdata
analysisq['description'] = self.params['description']
analysisq['alignstack'] = alignstackdata
analysisq['hidden'] = False
### linked through cluster not analysis
### Clustering Run object
clusterrunq = appiondata.ApClusteringRunData()
clusterrunq['runname'] = self.params['runname']
clusterrunq['description'] = self.params['description']
clusterrunq['boxsize'] = alignstackdata['boxsize']
clusterrunq['pixelsize'] = alignstackdata['pixelsize']
clusterrunq['num_particles'] = self.params['numpart']
clusterrunq['alignstack'] = alignstackdata
clusterrunq['analysisrun'] = analysisq
clusterrunq['affpropparams'] = affpropq
### Clustering Stack object
clusterstackq = appiondata.ApClusteringStackData()
clusterstackq['avg_imagicfile'] = "classaverage-"+self.timestamp+".hed"
clusterstackq['num_classes'] = numclass
clusterstackq['clusterrun'] = clusterrunq
clusterstackq['path'] = pathdata
clusterstackq['hidden'] = False
imagicfile = os.path.join(self.params['rundir'], clusterstackq['avg_imagicfile'])
if not os.path.isfile(imagicfile):
apDisplay.printError("could not find average stack file: "+imagicfile)
### looping over clusters
apDisplay.printColor("Inserting particle classification data, please wait", "cyan")
for i,classkey in enumerate(classes.keys()):
classnum = i+1
partlist = classes[classkey]
#print "MINIMUM: ", min(partlist)
classroot = "%s.%d"% (self.timestamp, classnum-1)
classdocfile = os.path.join(self.params['rundir'], classroot)
### Clustering Particle object
clusterrefq = appiondata.ApClusteringReferenceData()
clusterrefq['refnum'] = classnum
clusterrefq['clusterrun'] = clusterrunq
clusterrefq['path'] = pathdata
clusterrefq['num_particles'] = len(partlist)
#clusterrefq['ssnr_resolution'] = self.cluster_resolution[i]
### looping over particles
sys.stderr.write(".")
for partnum in partlist:
alignpartdata = self.getAlignParticleData(partnum, alignstackdata)
### Clustering Particle objects
clusterpartq = appiondata.ApClusteringParticleData()
clusterpartq['clusterstack'] = clusterstackq
clusterpartq['alignparticle'] = alignpartdata
clusterpartq['partnum'] = partnum
clusterpartq['refnum'] = classnum
clusterpartq['clusterreference'] = clusterrefq
### finally we can insert parameters
if self.params['commit'] is True:
clusterpartq.insert()
return
def insertIteration(self, iteration):
refineparamsq = appiondata.ApEmanRefineIterData()
refineparamsq['ang'] = iteration['ang']
refineparamsq['lpfilter'] = iteration['lpfilter']
refineparamsq['hpfilter'] = iteration['hpfilter']
refineparamsq['pad'] = iteration['pad']
refineparamsq['EMAN_maxshift'] = iteration['maxshift']
refineparamsq['EMAN_hard'] = iteration['hard']
refineparamsq['EMAN_classkeep'] = iteration['classkeep']
refineparamsq['EMAN_classiter'] = iteration['classiter']
refineparamsq['EMAN_filt3d'] = iteration['filt3d']
refineparamsq['EMAN_shrink'] = iteration['shrink']
refineparamsq['EMAN_euler2'] = iteration['euler2']
refineparamsq['EMAN_xfiles'] = iteration['xfiles']
refineparamsq['EMAN_median'] = iteration['median']
refineparamsq['EMAN_phasecls'] = iteration['phasecls']
refineparamsq['EMAN_fscls'] = iteration['fscls']
refineparamsq['EMAN_refine'] = iteration['refine']
refineparamsq['EMAN_goodbad'] = iteration['goodbad']
refineparamsq['EMAN_perturb'] = iteration['perturb']
refineparamsq['MsgP_cckeep'] = iteration['msgpasskeep']
refineparamsq['MsgP_minptls'] = iteration['msgpassminp']
#create Chimera snapshots
fscfile = os.path.join(self.params['rundir'],
"fsc.eotest." + iteration['num'])
halfres = apRecon.calcRes(fscfile, self.params['boxsize'],
self.params['apix'])
if self.params['snapfilter']:
halfres = self.params['snapfilter']
volumeDensity = 'threed.' + iteration['num'] + 'a.mrc'
volDensPath = os.path.join(self.params['rundir'], volumeDensity)
apChimera.filterAndChimera(volDensPath,
halfres,
self.params['apix'],
self.params['boxsize'],
'snapshot',
self.params['contour'],
self.params['zoom'],
sym=iteration['sym']['eman_name'],
mass=self.params['mass'])
## uncommment this for chimera image only runs...
if self.params['chimeraonly'] is True:
return
# insert resolution data
if halfres != True:
resData = self.getResolutionData(iteration)
else:
apDisplay.printWarning(
"resolution reported as nan, not committing results to database"
)
return
if self.params['package'] == 'EMAN':
refineclassavg = 'classes_eman.' + iteration['num'] + '.img'
postrefineclassavg = None
elif self.params['package'] == 'EMAN/SpiCoran':
refineclassavg = 'classes_eman.' + iteration['num'] + '.img'
postrefineclassavg = 'classes_coran.' + iteration['num'] + '.img'
elif self.params['package'] == 'EMAN/MsgP':
refineclassavg = 'classes_eman.' + iteration['num'] + '.img'
postrefineclassavg = 'classes_msgp.' + iteration['num'] + '.img'
else:
apDisplay.printError("Refinement Package Not Valid")
# insert refinement results
refineq = appiondata.ApRefineIterData()
refineq['refineRun'] = self.params['refineRun']
refineq['emanParams'] = refineparamsq
refineq['iteration'] = iteration['num']
refineq['resolution'] = resData
refineq['rMeasure'] = self.getRMeasureData(iteration)
refineq['mask'] = iteration['mask']
refineq['imask'] = iteration['imask']
refineq['symmetry'] = iteration['sym']
refineq['exemplar'] = False
classvar = 'classes.' + iteration['num'] + '.var.img'
refineq['refineClassAverages'] = refineclassavg
refineq['postRefineClassAverages'] = postrefineclassavg
if classvar in self.params['classvars']:
refineq['classVariance'] = classvar
if volumeDensity in self.params['volumes']:
refineq['volumeDensity'] = volumeDensity
apDisplay.printMsg("inserting Refinement Data into database")
if self.params['commit'] is True:
refineq.insert()
else:
apDisplay.printWarning("not committing results to database")
#insert FSC data
fscfile = os.path.join(self.params['rundir'],
"fsc.eotest." + iteration['num'])
self.insertFSC(fscfile, refineq, self.params['commit'])
halfres = apRecon.calcRes(fscfile, self.params['boxsize'],
self.params['apix'])
apDisplay.printColor("FSC 0.5 Resolution: " + str(halfres), "cyan")
# get projections eulers for iteration:
eulers = self.getEulersFromProj(iteration['num'])
# get list of bad particles for this iteration
badprtls = self.readParticleLog(self.params['rundir'],
iteration['num'])
# expand cls.*.tar into temp file
clsf = os.path.join(self.params['rundir'],
"cls." + iteration['num'] + ".tar")
#print "reading",clsf
clstar = tarfile.open(clsf)
clslist = clstar.getmembers()
clsnames = clstar.getnames()
#print "extracting",clsf,"into temp directory"
for clsfile in clslist:
clstar.extract(clsfile, self.params['tmpdir'])
clstar.close()
# for each class, insert particle alignment info into database
apDisplay.printColor(
"Inserting Particle Classification Data for " +
str(len(clsnames)) + " classes", "magenta")
t0 = time.time()
for cls in clsnames:
self.insertRefineParticleData(cls, iteration, eulers, badprtls,
refineq, len(clsnames))
apDisplay.printColor(
"\nFinished in " + apDisplay.timeString(time.time() - t0),
"magenta")
# remove temp directory
for file in os.listdir(self.params['tmpdir']):
os.remove(os.path.join(self.params['tmpdir'], file))
os.rmdir(self.params['tmpdir'])
#create euler freq map
apDisplay.printMsg("creating euler frequency map")
refrunid = int(self.params['refineRun'].dbid)
iternum = int(iteration['num'])
if self.params['package'] != 'EMAN':
postrefine = True
else:
postrefine = False
apEulerDraw.createEulerImages(refrunid,
iternum,
path=self.params['rundir'],
postrefine=postrefine)
return
def getEulersForIteration2(self, reconid, tiltrunid, stackid, iteration=1):
"""
returns all classdata for a particular refinement iteration
"""
#get mirror and good/bad
t0 = time.time()
cachefile = "mysql_cache-recon"+str(reconid)+"-iter"+str(iteration)+".pickle"
if os.path.isfile(cachefile):
apDisplay.printColor("Using cached MySQL query data at "+time.asctime(), "cyan")
cachef = open(cachefile, 'r')
eulertree = cPickle.load(cachef)
cachef.close()
apDisplay.printMsg("\nFetched "+str(len(eulertree))+" rows in "+apDisplay.timeString(time.time()-t0))
return eulertree
query = (
"SELECT \n"
+" tiltd.`REF|ApParticleData|particle1` AS partnum1, \n"
+" tiltd.`REF|ApParticleData|particle2` AS partnum2 \n"
+"FROM `ApTiltParticlePairData` AS tiltd \n"
+"LEFT JOIN `ApImageTiltTransformData` as transform \n"
+" ON tiltd.`REF|ApImageTiltTransformData|transform` = transform.`DEF_id` \n"
+"LEFT JOIN `ApStackParticleData` AS stpart1 \n"
+" ON stpart1.`REF|ApParticleData|particle` = tiltd.`REF|ApParticleData|particle1` \n"
+"LEFT JOIN `ApStackParticleData` AS stpart2 \n"
+" ON stpart2.`REF|ApParticleData|particle` = tiltd.`REF|ApParticleData|particle2` \n"
+"WHERE \n"
#+" transform.`REF|ApSelectionRunData|tiltrun` = "+str(tiltrunid)+" \n"
#+"AND \n"
+" stpart1.`REF|ApStackData|stack` = "+str(stackid)+" \n"
+"AND \n"
+" stpart2.`REF|ApStackData|stack` = "+str(stackid)+" \n"
#+"LIMIT 50 \n"
)
#print query
apDisplay.printColor("Getting all particles via MySQL query at "+time.asctime(), "yellow")
self.cursor.execute(query)
numrows = int(self.cursor.rowcount)
results = self.cursor.fetchall()
apDisplay.printMsg("Fetched "+str(len(results))+" rows in "+apDisplay.timeString(time.time()-t0))
if len(results) < 3:
print query
apDisplay.printError("No tilt pairs found in this stackid="+str(stackid))
t0 = time.time()
eulertree = []
apDisplay.printColor("Getting individual particle info at "+time.asctime(), "yellow")
count = 0
for row in results:
count += 1
if count % 500 == 0:
sys.stderr.write(".")
eulerpair = { 'part1': {}, 'part2': {} }
partid1 = int(row[0])
partid2 = int(row[1])
query = (
"SELECT \n"
+" stpart.`particleNumber` AS partnum, \n"
+" stpart.`DEF_id` AS dbid, \n"
+" partclass.`euler1` AS alt, partclass.`euler2` AS az, partclass.`euler3` AS phi, \n"
+" partclass.`mirror` AS mirror, partclass.`refine_keep` AS reject \n"
+"FROM `ApStackParticleData` AS stpart \n"
+"LEFT JOIN `ApRefineParticleData` AS partclass \n"
+" ON partclass.`REF|ApStackParticleData|particle` = stpart.`DEF_id` \n"
+"LEFT JOIN `ApRefineIterData` AS refd \n"
+" ON partclass.`REF|ApRefineIterData|refineIter` = refd.`DEF_id` \n"
+"WHERE "
+" stpart.`REF|ApParticleData|particle` = "+str(partid1)+" \n"
+"AND \n"
+" refd.`REF|ApRefineRunData|refineRun` = "+str(reconid)+" \n"
+"AND \n"
+" refd.`iteration` = "+str(iteration)+" \n"
+"LIMIT 1 \n"
)
#print query
self.cursor.execute(query)
row = self.cursor.fetchone()
if not row:
continue
eulerpair['part1']['partid'] = int(row[0])
eulerpair['part1']['dbid'] = int(row[1])
eulerpair['part1']['euler1'] = float(row[2])
eulerpair['part1']['euler2'] = float(row[3])
eulerpair['part1']['euler3'] = float(row[4])
eulerpair['part1']['mirror'] = self.nullOrValue(row[5])
eulerpair['part1']['reject'] = not self.nullOrValue(row[6])
eulerpair['part1']['tilt'] = apStack.getStackParticleTilt(eulerpair['part1']['dbid'])
query = (
"SELECT \n"
+" stpart.`particleNumber` AS partnum, \n"
+" stpart.`DEF_id` AS dbid, \n"
+" partclass.`euler1` AS alt, partclass.`euler2` AS az, partclass.`euler3` AS phi, \n"
+" partclass.`mirror` AS mirror, partclass.`refine_keep` AS reject \n"
+"FROM `ApStackParticleData` AS stpart \n"
+"LEFT JOIN `ApRefineParticleData` AS partclass \n"
+" ON partclass.`REF|ApStackParticleData|particle` = stpart.`DEF_id` \n"
+"LEFT JOIN `ApRefineIterData` AS refd \n"
+" ON partclass.`REF|ApRefineIterData|refineIter` = refd.`DEF_id` \n"
+"WHERE "
+" stpart.`REF|ApParticleData|particle` = "+str(partid2)+" \n"
+"AND \n"
+" refd.`REF|ApRefineRunData|refineRun` = "+str(reconid)+" \n"
+"AND \n"
+" refd.`iteration` = "+str(iteration)+" \n"
+"LIMIT 1 \n"
)
#print query
self.cursor.execute(query)
row = self.cursor.fetchone()
if not row:
continue
eulerpair['part2']['partid'] = int(row[0])
eulerpair['part2']['dbid'] = int(row[1])
eulerpair['part2']['euler1'] = float(row[2])
eulerpair['part2']['euler2'] = float(row[3])
eulerpair['part2']['euler3'] = float(row[4])
eulerpair['part2']['mirror'] = self.nullOrValue(row[5])
eulerpair['part2']['reject'] = not self.nullOrValue(row[6])
eulerpair['part2']['tilt'] = apStack.getStackParticleTilt(eulerpair['part2']['dbid'])
eulertree.append(eulerpair)
#end loop
cachef = open(cachefile, 'w', 0666)
cPickle.dump(eulertree, cachef)
cachef.close()
apDisplay.printMsg("\nFetched "+str(len(eulertree))+" rows in "+apDisplay.timeString(time.time()-t0))
return eulertree
def checkConflicts(self):
if self.params['package'] not in self.packages:
apDisplay.printError(
"No valid reconstruction package method specified")
# msgPassing requires a jobId in order to get the jobfile & the paramters
if ((self.params['package'] == 'EMAN/MsgP'
or self.params['package'] == 'EMAN/SpiCoran')
and self.params['jobid'] is None):
err = self.tryToGetJobID()
if err:
apDisplay.printError(
self.params['package'] +
" refinement requires a jobid. Please enter a jobId," +
" e.g. --jobid=734" + '\n' + err)
if self.params['package'] != "EMAN/SpiCoran":
### check if we have coran files
corans = glob.glob("classes_coran.*.hed")
if corans and len(corans) > 0:
apDisplay.printError(
"You used coran in the recon, but it was not selected\n" +
"set package to coran, e.g. --package='EMAN/SpiCoran'")
if self.params['stackid'] is None:
apDisplay.printError("please enter a stack id, e.g. --stackid=734")
if self.params['modelid'] is None:
apDisplay.printError(
"please enter a starting model id, e.g. --modelid=34")
if self.params['description'] is None:
apDisplay.printError(
"please enter a recon description, e.g. --description='my fav recon'"
)
if self.params['runname'] is None:
apDisplay.printError(
"please enter a recon run name, e.g. --runname=recon11")
if self.params['jobid']:
# if jobid is supplied, get the job info from the database
self.params['jobinfo'] = self.getClusterJobDataFromID(
self.params['jobid'])
if self.params['jobinfo'] is None:
apDisplay.printError("jobid supplied does not exist: " +
str(self.params['jobid']))
else:
self.params['jobinfo'] = None
if self.params['chimeraonly'] is True:
self.params['commit'] = False
def checkConflicts(self):
if self.params['stackid'] is None:
apDisplay.printError("stack id was not defined")
if self.params['description'] is None:
apDisplay.printError("run description was not defined")
if self.params['templatelist'] is None:
apDisplay.printError("template list was not provided")
if self.params['lastring'] is None:
apDisplay.printError("a last ring radius was not provided")
if self.params['runname'] is None:
apDisplay.printError("run name was not defined")
stackdata = apStack.getOnlyStackData(self.params['stackid'], msg=False)
stackfile = os.path.join(stackdata['path']['path'], stackdata['name'])
if self.params['numpart'] > apFile.numImagesInStack(stackfile):
apDisplay.printError("trying to use more particles "+str(self.params['numpart'])
+" than available "+str(apFile.numImagesInStack(stackfile)))
boxsize = apStack.getStackBoxsize(self.params['stackid'])/self.params['bin']
if self.params['lastring'] > boxsize/2-2:
apDisplay.printError("last ring radius is too big for boxsize "
+str(self.params['lastring'])+" > "+str(boxsize/2-2))
if self.params['lastring']+self.params['xysearch'] > boxsize/2-2:
apDisplay.printError("last ring plus xysearch radius is too big for boxsize "
+str(self.params['lastring']+self.params['xysearch'])+" > "+str(boxsize/2-2))
### convert / check template data
self.templatelist = self.params['templatelist'].strip().split(",")
if not self.templatelist or type(self.templatelist) != type([]):
apDisplay.printError("could not parse template list="+self.params['templatelist'])
self.params['numtemplate'] = len(self.templatelist)
apDisplay.printMsg("Found "+str(self.params['numtemplate'])+" templates")
def getEulersForIteration(self, reconid, tiltrunid, iteration=1):
"""
returns all classdata for a particular refinement iteration
"""
#get mirror and good/bad
t0 = time.time()
query = (
"SELECT \n"
+" stpart1.particleNumber AS partnum1, \n"
+" stpart1.`DEF_id` AS dbid1, \n"
+" partclass1.`euler1` AS alt1, partclass1.`euler2` AS az1, partclass1.`euler3` AS phi1, \n"
+" partclass1.`mirror` AS mirror1, partclass1.`refine_keep` AS reject1, \n"
+" stpart2.particleNumber AS partnum2, \n"
+" stpart2.`DEF_id` AS dbid2, \n"
+" partclass2.`euler1` AS alt2, partclass2.`euler2` AS az2, partclass2.`euler3` AS phi2, \n"
+" partclass2.`mirror` AS mirror2, partclass2.`refine_keep` AS reject2 \n"
+"FROM `ApTiltParticlePairData` AS tiltd \n"
+"LEFT JOIN `ApImageTiltTransformData` as transform \n"
+" ON tiltd.`REF|ApImageTiltTransformData|transform`=transform.`DEF_id` \n"
+"LEFT JOIN `ApStackParticleData` AS stpart1 \n"
+" ON stpart1.`REF|ApParticleData|particle` = tiltd.`REF|ApParticleData|particle1` \n"
+"LEFT JOIN `ApStackParticleData` AS stpart2 \n"
+" ON stpart2.`REF|ApParticleData|particle` = tiltd.`REF|ApParticleData|particle2` \n"
+"LEFT JOIN `ApRefineParticleData` AS partclass1 \n"
+" ON partclass1.`REF|ApStackParticleData|particle` = stpart1.`DEF_id` \n"
+"LEFT JOIN `ApRefineParticleData` AS partclass2 \n"
+" ON partclass2.`REF|ApStackParticleData|particle` = stpart2.`DEF_id` \n"
+"LEFT JOIN `ApRefineIterData` AS refd1 \n"
+" ON partclass1.`REF|ApRefineIterData|refineIter` = refd1.`DEF_id` \n"
+"LEFT JOIN `ApRefineIterData` AS refd2 \n"
+" ON partclass2.`REF|ApRefineIterData|refineIter` = refd2.`DEF_id` \n"
+"WHERE transform.`REF|ApSelectionRunData|tiltrun` = "+str(tiltrunid)+" \n"
+" AND refd1.`REF|ApRefineRunData|refineRun` = "+str(reconid)+" \n"
+" AND refd1.`iteration` = "+str(iteration)+" \n"
+" AND refd2.`REF|ApRefineRunData|refineRun` = "+str(reconid)+" \n"
+" AND refd2.`iteration` = "+str(iteration)+" \n"
+"ORDER BY stpart1.particleNumber ASC \n"
#+"LIMIT 10 \n"
)
#print query
cachefile = "mysql_cache-recon"+str(reconid)+"-iter"+str(iteration)+".pickle"
if not os.path.isfile(cachefile):
apDisplay.printColor("Running MySQL query at "+time.asctime(), "yellow")
self.cursor.execute(query)
numrows = int(self.cursor.rowcount)
apDisplay.printMsg("Found "+str(numrows)+" rows in "+apDisplay.timeString(time.time()-t0))
apDisplay.printMsg("Fetching data at "+time.asctime())
results = self.cursor.fetchall()
cachef = open(cachefile, 'w', 0666)
cPickle.dump(results, cachef)
else:
apDisplay.printColor("Using cached MySQL query data at "+time.asctime(), "cyan")
cachef = open(cachefile, 'r')
results = cPickle.load(cachef)
cachef.close()
apDisplay.printMsg("Fetched "+str(len(results))+" rows in "+apDisplay.timeString(time.time()-t0))
#convert to tree form
eulertree = self.convertSQLtoEulerTree(results)
if len(eulertree) < 10:
print query
apDisplay.printError("Failed to get euler angles")
return eulertree
def checkConflicts(self):
if self.params['runname'] is None:
apDisplay.printError("enter a stack run name, e.g. combinestack1")
if self.params['description'] is None:
apDisplay.printError("enter a stack description")
if self.params['stacks'] and ',' in self.params['stacks']:
#remember stackids are a list of strings
stackids = self.params['stacks'].split(',')
self.params['stackids'] = stackids
else:
apDisplay.printError(
"enter a list of stack ids to combine, e.g. --stackids=11,14,7"
)
### check to make sure all pixel and box size are the same
self.newboxsize = None
self.newpixelsize = None
for stackidstr in self.params['stackids']:
if not re.match("^[0-9]+$", stackidstr):
apDisplay.printError("Stack id '%s' is not an integer" %
(stackidstr))
stackid = int(stackidstr)
boxsize = apStack.getStackBoxsize(stackid, msg=False)
pixelsize = apStack.getStackPixelSizeFromStackId(stackid,
msg=False)
apDisplay.printMsg("Stack id: %d\tBoxsize: %d\tPixelsize: %.3f" %
(stackid, boxsize, pixelsize))
if self.newboxsize is None:
self.newboxsize = boxsize
if self.newpixelsize is None:
self.newpixelsize = pixelsize
if boxsize != self.newboxsize:
apDisplay.printError(
"Trying to combine stacks with different box sizes")
if abs(pixelsize - self.newpixelsize) > 0.01:
apDisplay.printError(
"Trying to combine stacks with different pixel sizes")
def checkConflicts(self):
if self.params['stackid'] is None:
apDisplay.printError("stackid was not defined")
if self.params['runname'] is None:
apDisplay.printError("new runname was not defined")
def processImage(self, imgdata):
self.ctfvalues = {}
bestdef = ctfdb.getBestCtfByResolution(imgdata, msg=True)
apix = apDatabase.getPixelSize(imgdata)
if (not (self.params['onepass'] and self.params['zeropass'])):
maskhighpass = False
ace2inputpath = os.path.join(imgdata['session']['image path'],
imgdata['filename'] + ".mrc")
else:
maskhighpass = True
filterimg = apImage.maskHighPassFilter(imgdata['image'], apix, 1,
self.params['zeropass'],
self.params['onepass'])
ace2inputpath = os.path.join(self.params['rundir'],
imgdata['filename'] + ".mrc")
mrc.write(filterimg, ace2inputpath)
# make sure that the image is a square
dimx = imgdata['camera']['dimension']['x']
dimy = imgdata['camera']['dimension']['y']
if dimx != dimy:
dims = [dimx, dimy]
dims.sort()
apDisplay.printMsg("resizing image: %ix%i to %ix%i" %
(dimx, dimy, dims[0], dims[0]))
mrcarray = apImage.mrcToArray(ace2inputpath, msg=False)
clippedmrc = apImage.frame_cut(mrcarray, [dims[0], dims[0]])
ace2inputpath = os.path.join(self.params['rundir'],
imgdata['filename'] + ".mrc")
apImage.arrayToMrc(clippedmrc, ace2inputpath, msg=False)
### pad out image to speed up FFT calculations for non-standard image sizes
print "checking prime factor"
if primefactor.isGoodStack(dimx) is False:
goodsize = primefactor.getNextEvenPrime(dimx)
factor = float(goodsize) / float(dimx)
apDisplay.printMsg("padding image: %ix%i to %ix%i" %
(dimx, dimy, dimx * factor, dimy * factor))
mrcarray = apImage.mrcToArray(ace2inputpath, msg=False)
# paddedmrc = imagefun.pad(mrcarray, None, factor)
paddedmrc = apImage.frame_constant(mrcarray,
(dimx * factor, dimy * factor),
cval=mrcarray.mean())
ace2inputpath = os.path.join(self.params['rundir'],
imgdata['filename'] + ".mrc")
apImage.arrayToMrc(paddedmrc, ace2inputpath, msg=False)
inputparams = {
'input': ace2inputpath,
'cs': self.params['cs'],
'kv': imgdata['scope']['high tension'] / 1000.0,
'apix': apix,
'binby': self.params['bin'],
}
### make standard input for ACE 2
apDisplay.printMsg("Ace2 executable: " + self.ace2exe)
commandline = (self.ace2exe + " -i " + str(inputparams['input']) +
" -b " + str(inputparams['binby']) + " -c " +
str(inputparams['cs']) + " -k " +
str(inputparams['kv']) + " -a " +
str(inputparams['apix']) + " -e " +
str(self.params['edge_b']) + "," +
str(self.params['edge_t']) + " -r " +
str(self.params['rotblur']) + "\n")
### run ace2
apDisplay.printMsg("running ace2 at " + time.asctime())
apDisplay.printColor(commandline, "purple")
t0 = time.time()
if self.params['verbose'] is True:
ace2proc = subprocess.Popen(commandline, shell=True)
else:
aceoutf = open("ace2.out", "a")
aceerrf = open("ace2.err", "a")
ace2proc = subprocess.Popen(commandline,
shell=True,
stderr=aceerrf,
stdout=aceoutf)
ace2proc.wait()
### check if ace2 worked
basename = os.path.basename(ace2inputpath)
imagelog = basename + ".ctf.txt"
if not os.path.isfile(imagelog) and self.stats['count'] <= 1:
### ace2 always crashes on first image??? .fft_wisdom file??
time.sleep(1)
if self.params['verbose'] is True:
ace2proc = subprocess.Popen(commandline, shell=True)
else:
aceoutf = open("ace2.out", "a")
aceerrf = open("ace2.err", "a")
ace2proc = subprocess.Popen(commandline,
shell=True,
stderr=aceerrf,
stdout=aceoutf)
ace2proc.wait()
if self.params['verbose'] is False:
aceoutf.close()
aceerrf.close()
if not os.path.isfile(imagelog):
lddcmd = "ldd " + self.ace2exe
lddproc = subprocess.Popen(lddcmd, shell=True)
lddproc.wait()
apDisplay.printError("ace2 did not run")
apDisplay.printMsg("ace2 completed in " +
apDisplay.timeString(time.time() - t0))
### parse log file
self.ctfvalues = {
'cs': self.params['cs'],
'volts': imgdata['scope']['high tension'],
}
logf = open(imagelog, "r")
apDisplay.printMsg("reading log file %s" % (imagelog))
for line in logf:
sline = line.strip()
if re.search("^Final Defocus: ", sline):
### old ACE2
apDisplay.printError(
"This old version of ACE2 has a bug in the astigmastism, please upgrade ACE2 now"
)
#parts = sline.split()
#self.ctfvalues['defocus1'] = float(parts[2])
#self.ctfvalues['defocus2'] = float(parts[3])
### convert to degrees
#self.ctfvalues['angle_astigmatism'] = math.degrees(float(parts[4]))
elif re.search("^Final Defocus \(m,m,deg\):", sline):
### new ACE2
apDisplay.printMsg("Reading new ACE2 defocus")
parts = sline.split()
#print parts
self.ctfvalues['defocus1'] = float(parts[3])
self.ctfvalues['defocus2'] = float(parts[4])
# ace2 defines negative angle from +x toward +y
self.ctfvalues['angle_astigmatism'] = -float(parts[5])
elif re.search("^Amplitude Contrast:", sline):
parts = sline.split()
self.ctfvalues['amplitude_contrast'] = float(parts[2])
elif re.search("^Confidence:", sline):
parts = sline.split()
self.ctfvalues['confidence'] = float(parts[1])
self.ctfvalues['confidence_d'] = float(parts[1])
logf.close()
### summary stats
apDisplay.printMsg("============")
avgdf = (self.ctfvalues['defocus1'] + self.ctfvalues['defocus2']) / 2.0
ampconst = 100.0 * self.ctfvalues['amplitude_contrast']
pererror = 100.0 * (self.ctfvalues['defocus1'] -
self.ctfvalues['defocus2']) / avgdf
apDisplay.printMsg(
"Defocus: %.3f x %.3f um (%.2f percent astigmatism)" %
(self.ctfvalues['defocus1'] * 1.0e6,
self.ctfvalues['defocus2'] * 1.0e6, pererror))
apDisplay.printMsg("Angle astigmatism: %.2f degrees" %
(self.ctfvalues['angle_astigmatism']))
apDisplay.printMsg("Amplitude contrast: %.2f percent" % (ampconst))
apDisplay.printColor(
"Final confidence: %.3f" % (self.ctfvalues['confidence']), 'cyan')
### double check that the values are reasonable
if avgdf > self.params['maxdefocus'] or avgdf < self.params[
'mindefocus']:
apDisplay.printWarning(
"bad defocus estimate, not committing values to database")
self.badprocess = True
if ampconst < 0.0 or ampconst > 80.0:
apDisplay.printWarning(
"bad amplitude contrast, not committing values to database")
self.badprocess = True
if self.ctfvalues['confidence'] < 0.2:
apDisplay.printWarning(
"bad confidence value, not committing values to database")
self.badprocess = True
## create power spectra jpeg
mrcfile = imgdata['filename'] + ".mrc.edge.mrc"
if os.path.isfile(mrcfile):
jpegfile = os.path.join(
self.powerspecdir,
apDisplay.short(imgdata['filename']) + ".jpg")
ps = apImage.mrcToArray(mrcfile, msg=False)
c = numpy.array(ps.shape) / 2.0
ps[c[0] - 0, c[1] - 0] = ps.mean()
ps[c[0] - 1, c[1] - 0] = ps.mean()
ps[c[0] - 0, c[1] - 1] = ps.mean()
ps[c[0] - 1, c[1] - 1] = ps.mean()
#print "%.3f -- %.3f -- %.3f"%(ps.min(), ps.mean(), ps.max())
ps = numpy.log(ps + 1.0)
ps = (ps - ps.mean()) / ps.std()
cutoff = -2.0 * ps.min()
ps = numpy.where(ps > cutoff, cutoff, ps)
cutoff = ps.mean()
ps = numpy.where(ps < cutoff, cutoff, ps)
#print "%.3f -- %.3f -- %.3f"%(ps.min(), ps.mean(), ps.max())
apImage.arrayToJpeg(ps, jpegfile, msg=False)
apFile.removeFile(mrcfile)
self.ctfvalues['graph3'] = jpegfile
otherfiles = glob.glob(imgdata['filename'] + ".*.txt")
### remove extra debugging files
for filename in otherfiles:
if filename[-9:] == ".norm.txt":
continue
elif filename[-8:] == ".ctf.txt":
continue
else:
apFile.removeFile(filename)
if maskhighpass and os.path.isfile(ace2inputpath):
apFile.removeFile(ace2inputpath)
return
def insertRefBasedRun(self, partlist, imagicstack, insert=False):
apDisplay.printMsg("committing results to DB")
### setup alignment run
alignrunq = appiondata.ApAlignRunData()
alignrunq['runname'] = self.params['runname']
alignrunq['path'] = appiondata.ApPathData(path=os.path.abspath(self.params['rundir']))
uniquerun = alignrunq.query(results=1)
if uniquerun:
apDisplay.printError("Run name '"+runparams['runname']+"' and path already exist in database")
### setup ref based run
refrunq = appiondata.ApRefBasedRunData()
refrunq['runname'] = self.params['runname']
refrunq['xysearch'] = self.params['xysearch']
refrunq['xystep'] = self.params['xystep']
refrunq['first_ring'] = self.params['firstring']
refrunq['last_ring'] = self.params['lastring']
refrunq['num_iter'] = self.params['numiter']
refrunq['invert_templs'] = self.params['inverttemplates']
refrunq['num_templs'] = self.params['numtemplate']
#refrunq['csym', int),
refrunq['run_seconds'] = self.params['runtime']
### finish alignment run
alignrunq = appiondata.ApAlignRunData()
alignrunq['refbasedrun'] = refrunq
alignrunq['hidden'] = False
alignrunq['bin'] = self.params['bin']
alignrunq['hp_filt'] = self.params['highpass']
alignrunq['lp_filt'] = self.params['lowpass']
alignrunq['runname'] = self.params['runname']
alignrunq['description'] = self.params['description']
### setup alignment stack
alignstackq = appiondata.ApAlignStackData()
alignstackq['alignrun'] = alignrunq
alignstackq['imagicfile'] = imagicstack
alignstackq['avgmrcfile'] = "average.mrc"
emancmd = "proc2d templatestack%02d.spi templatestack%02d.hed"%(self.params['numiter'],self.params['numiter'])
apEMAN.executeEmanCmd(emancmd)
alignstackq['refstackfile'] = ("templatestack%02d.hed"%(self.params['numiter']))
alignstackq['alignrun'] = alignrunq
alignstackq['iteration'] = self.params['numiter']
alignstackq['path'] = appiondata.ApPathData(path=os.path.abspath(self.params['rundir']))
### check to make sure files exist
imagicfile = os.path.join(self.params['rundir'], alignstackq['imagicfile'])
if not os.path.isfile(imagicfile):
apDisplay.printError("could not find stack file: "+imagicfile)
avgmrcfile = os.path.join(self.params['rundir'], alignstackq['avgmrcfile'])
if not os.path.isfile(avgmrcfile):
apDisplay.printError("could not find average mrc file: "+avgmrcfile)
refstackfile = os.path.join(self.params['rundir'], alignstackq['refstackfile'])
if not os.path.isfile(refstackfile):
apDisplay.printError("could not find reference stack file: "+refstackfile)
alignstackq['stack'] = self.stack['data']
alignstackq['boxsize'] = self.boxsize
alignstackq['pixelsize'] = self.stack['apix']*self.params['bin']
alignstackq['description'] = self.params['description']
alignstackq['hidden'] = False
alignstackq['num_particles'] = self.params['numpart']
if insert is True:
alignstackq.insert()
### insert reference data
reflist = []
for j in range(self.params['numiter']):
iternum = j+1
for i in range(len(self.templatelist)):
refnum = i+1
templateid = self.templatelist[i]
refq = appiondata.ApAlignReferenceData()
refq['refnum'] = refnum
refq['iteration'] = iternum
refq['template'] = apTemplate.getTemplateFromId(templateid)
refq['mrcfile'] = ("templateavg%02d-%02d.mrc"%(iternum,refnum))
refpath = os.path.join(self.params['rundir'], "templates")
refq['path'] = appiondata.ApPathData(path=os.path.abspath(refpath))
refq['alignrun'] = alignrunq
if refnum in self.resdict:
refq['ssnr_resolution'] = self.resdict[refnum]
if insert is True:
refq.insert()
if iternum == self.params['numiter']:
reflist.append(refq)
#refq['varmrcfile', str),
#refq['frc_resolution', float),
### insert particle data
apDisplay.printColor("Inserting particle alignment data, please wait", "cyan")
for partdict in partlist:
### see apSpider.alignment.alignStack() for more info
"""
partdict.keys()
'num': int(data[0]), #SPIDER NUMBERING: 1,2,3,...
'template': int(abs(templatenum)), #SPIDER NUMBERING: 1,2,3,...
'mirror': checkMirror(templatenum),
'score': float(data[3]),
'rot': float(data[4]),
'xshift': float(data[5]),
'yshift': float(data[6]),
"""
alignpartq = appiondata.ApAlignParticleData()
alignpartq['ref'] = reflist[partdict['template']-1]
alignpartq['partnum'] = partdict['num']
alignpartq['alignstack'] = alignstackq
stackpartdata = apStack.getStackParticle(self.params['stackid'], partdict['num'])
alignpartq['stackpart'] = stackpartdata
alignpartq['xshift'] = partdict['xshift']
alignpartq['yshift'] = partdict['yshift']
alignpartq['rotation'] = partdict['rot']
alignpartq['score'] = partdict['score']
alignpartq['mirror'] = partdict['mirror']
if insert is True:
alignpartq.insert()
return