def _copyFile(self, inputFile):
""" Copy file to the destination folder and return new filename. """
if inputFile not in self._processed:
pwutils.copyFile(os.path.join(self._src, inputFile), self._dst)
self._processed.add(inputFile)
return os.path.join(self._dst, os.path.basename(inputFile))
def importMaskStep(self, path, samplingRate):
""" Copy mask from maskPath.
"""
self.info("Using mask path: '%s'" % path)
# Copy the image file into the project
dst = self._getExtraPath(basename(path))
dst, cleaned = cleanFileName(dst)
pwutils.copyFile(path, dst)
# Retrieve image dimensions
imgh = ImageHandler()
_, _, z, n = imgh.getDimensions(dst)
# Create a 2D or 3D Mask, consider the case of n>1
# as the case of some volume maps in mrc format
if z > 1 or n > 1:
mask = VolumeMask()
else:
mask = Mask()
mask.setFileName(dst)
mask.setSamplingRate(samplingRate)
self._defineOutputs(**{self._possibleOutputs.outputMask.name: mask})
def importCoordinatesStep(self, samplingRate):
importTomograms = self.importTomograms.get()
suffix = self._getOutputSuffix(SetOfCoordinates3D)
coordsSet = self._createSetOfCoordinates3D(importTomograms, suffix)
coordsSet.setSamplingRate(samplingRate)
coordsSet.setPrecedents(importTomograms)
coordsSet.setBoxSize(self.boxSize.get())
if self.getImportFrom() == IMPORT_FROM_SQLITE:
sqliteFile = self.getMatchFiles()[0]
newFileName = self._getPath(basename(sqliteFile))
copyFile(sqliteFile, newFileName)
coordsSet._mapperPath.set('%s, %s' % (newFileName, ''))
coordsSet.load()
else:
ci = self.getImportClass()
for tomo in importTomograms.iterItems():
tomoName = basename(os.path.splitext(tomo.getFileName())[0])
for coordFile, fileId in self.iterFiles():
fileName = basename(os.path.splitext(coordFile)[0])
if tomo is not None and tomoName == fileName:
# Parse the coordinates in the given format for this micrograph
if self.getImportFrom() == IMPORT_FROM_EMAN or self.getImportFrom() == IMPORT_FROM_TXT:
def addCoordinate(coord, x, y, z):
coord.setVolume(tomo.clone())
coord.setPosition(x, y, z, const.BOTTOM_LEFT_CORNER)
coordsSet.append(coord)
ci.importCoordinates3D(coordFile, addCoordinate)
elif self.getImportFrom() == IMPORT_FROM_DYNAMO:
ci(coordFile, coordsSet, tomo.clone())
args = {}
args[self.OUTPUT_PREFIX] = coordsSet
self._defineOutputs(**args)
self._defineSourceRelation(self.importTomograms, coordsSet)
def testFlipAssessment(self):
""" Test the method used to """
mrcFile = self.ds.getFile('micrographs/006.mrc')
# test wrong ispg value (0) in mrc file
self.assertTrue(convert.needToFlipOnY(mrcFile),
"needToFlipOnY wrong for bad mrc.")
# test non mrc file
self.assertFalse(convert.needToFlipOnY('dummy.foo'),
"needToFlipOnY wrong for non mrc.")
# Test right ispg value (0 in mrc file)
# Copy 006
goodMrc = self.getOutputPath('good_ispg.mrc')
pwutils.copyFile(mrcFile, goodMrc)
# Change the ISPG value in the file header
header = Ccp4Header(goodMrc, readHeader=True)
header.setISPG(0)
header.writeHeader()
# test good mrc file
self.assertFalse(convert.needToFlipOnY(goodMrc),
"needToFlipOnY wrong for good mrc.")
def main():
# Get arguments.
args = get_parser().parse_args()
setObj = EMSet(filename=args.setFile)
firstItem = setObj.getFirstItem()
root = pwutils.findRootFrom(args.setFile, firstItem.getFileName())
print("ROOT: ", root)
if args.output_text:
with open(args.output, 'w') as f:
for movie in setObj:
f.write('%s\n' % movie.getFileName())
elif args.print:
for item in setObj:
print(item.getFileName())
elif args.copy:
for item in setObj:
fn = os.path.join(root, item.getFileName())
print('Copying %s to %s' % (fn, args.output))
pwutils.copyFile(fn, args.output)
elif args.check_dims:
from pwem.emlib.image import ImageHandler
ih = ImageHandler()
counter = {}
for item in setObj:
fn = os.path.join(root, item.getFileName())
dims = ih.getDimensions(fn)
counter[dims] = 1 if dims not in counter else counter[dims] + 1
print('%s: %s' % (os.path.basename(fn), dims))
pwutils.prettyDict(counter)
def _mergeAllParFiles(self, iterN, ref, numberOfBlocks):
""" This method merge all parameters files that have been created in a refineIterStep """
file2 = self._getFileName('output_par_class', iter=iterN, ref=ref)
if numberOfBlocks != 1:
f2 = open(file2, 'w+')
for block in range(1, numberOfBlocks + 1):
file1 = self._getFileName('output_par_block_class',
block=block,
iter=iterN,
ref=ref)
f1 = open(file1)
for l in f1:
if not l.startswith('C'):
f2.write(l)
f1.close()
f2.close()
else:
file1 = self._getFileName('output_par_block_class',
block=1,
iter=iterN,
ref=ref)
copyFile(file1, file2)
def createOutputStep(self, atomStructPath):
""" Copy the PDB structure and register the output object.
"""
if not exists(atomStructPath):
raise Exception("Atomic structure not found at *%s*" %
atomStructPath)
baseName = basename(atomStructPath)
localPath = abspath(self._getExtraPath(baseName))
if str(atomStructPath) != str(localPath): # from local file
pwutils.copyFile(atomStructPath, localPath)
localPath = relpath(localPath)
pdb = emobj.AtomStruct()
volume = self.inputVolume.get()
# if a volume exists assign it to the pdb object
# IMPORTANT: we DO need "if volume is not None"
# because we need to persist the pdb object
# before we can make the last source relation
if volume is not None:
pdb.setVolume(volume)
pdb.setFileName(localPath)
self._defineOutputs(outputPdb=pdb)
if volume is not None:
self._defineSourceRelation(volume, pdb)
def runProjectionMatching(self, iterN, refN, args, **kwargs):
""" Loop over all CTF groups and launch a projection matching for each one.
Note: Iterate ctf groups in reverse order to have same order as
in add_to docfiles from angular_class_average. #FIXME: check why reverse order is needed
"""
projMatchRootName = self._getFileName('projMatchRootNames', iter=iterN, ref=refN)
refname = self._getFileName('projectLibraryStk', iter=iterN, ref=refN)
numberOfCtfGroups = self.numberOfCtfGroups.get()
# ctfGroupName = self._getPath(self.ctfGroupDirectory, '%(ctfGroupRootName)s')
#remove output metadata
cleanPath(projMatchRootName)
for ctfN in reversed(list(self.allCtfGroups())):
self._log.info('CTF group: %d/%d' % (ctfN, numberOfCtfGroups))
ctfArgs = ' -i %(inputdocfile)s -o %(outputname)s --ref %(refname)s'
inputdocfile = self._getBlockFileName(ctfBlockName, ctfN, self.docFileInputAngles[iterN-1])
outputname = self._getBlockFileName(ctfBlockName, ctfN, projMatchRootName)
baseTxtFile = removeExt(refname)
neighbFile = baseTxtFile + '_sampling.xmd'
cleanPath(neighbFile)
neighbFileb = baseTxtFile + '_group' + str(ctfN).zfill(self.FILENAMENUMBERLENGTH) + '_sampling.xmd'
copyFile(neighbFileb, neighbFile)
print "copied file ", neighbFileb, "to", neighbFile
if self.doCTFCorrection and self._referenceIsCtfCorrected[iterN]:
ctfArgs += ' --ctf %s' % self._getBlockFileName('', ctfN, self._getFileName('stackCTFs'))
progArgs = ctfArgs % locals() + args
self.runJob('xmipp_angular_projection_matching', progArgs, **kwargs)
def runFilterVolumeStep(self, iterN, refN, constantToAddToFiltration):
reconstructedVolume = self._getFileName('reconstructedFileNamesIters',
iter=iterN,
ref=refN)
reconstructedFilteredVolume = self.reconstructedFilteredFileNamesIters[
iterN][refN]
if self.useFscForFilter:
if self._fourierMaxFrequencyOfInterest[iterN + 1] == -1:
fourierMaxFrequencyOfInterest = self.resolSam / self._getFourierMaxFrequencyOfInterest(
iterN, refN)
print "el valor de la resolucion es :", self._getFourierMaxFrequencyOfInterest(
iterN, refN)
filterInPxAt = fourierMaxFrequencyOfInterest + constantToAddToFiltration
else:
filterInPxAt = constantToAddToFiltration
if (filterInPxAt > 0.5):
copyFile(reconstructedVolume, reconstructedFilteredVolume)
else:
args = ' -i %(volume)s -o %(filteredVol)s --fourier low_pass %(filter)s'
params = {
'volume': reconstructedVolume,
'filteredVol': reconstructedFilteredVolume,
'filter': filterInPxAt
}
self.runJob("xmipp_transform_filter", args % params)
def _splitParFile(self, iterN, ref, numberOfBlocks):
""" This method split the parameter files that have been previously merged """
prevIter = iterN -1
file1 = self._getFileName('output_par_class', iter=prevIter, ref=ref)
if numberOfBlocks != 1:
for block in range(1, numberOfBlocks + 1):
f1 = open(file1)
file2 = self._getFileName('input_par_block_class',prevIter=prevIter, iter=iterN, ref=ref, block=block)
f2 = open(file2, 'w+')
_, finalPart = self._particlesInBlock(block, numberOfBlocks)
for l in f1:
if l.startswith('C'):
f2.write(l)
else:
split = l.split()
numPart = int(''.join(split[:1]))
if numPart <= finalPart:
f2.write(l)
else:
break
f2.close()
f1.close()
else:
file2 = self._getFileName('input_par_block_class',prevIter=prevIter, iter=iterN, ref=ref, block=1)
copyFile(file1, file2)
def writeCtfStarStep(self):
inputCTF = self.inputCTF.get()
if self.micrographSource == 0: # same as CTF estimation
ctfMicSet = inputCTF.getMicrographs()
else:
ctfMicSet = self.inputMicrographs.get()
micSet = SetOfMicrographs(filename=':memory:')
psd = inputCTF.getFirstItem().getPsdFile()
hasPsd = psd and os.path.exists(psd)
if hasPsd:
psdPath = self._getPath('PSD')
pwutils.makePath(psdPath)
print "Writing PSD files to %s" % psdPath
for ctf in inputCTF:
# Get the corresponding micrograph
mic = ctfMicSet[ctf.getObjId()]
if mic is None:
print("Skipping CTF id: %s, it is missing from input "
"micrographs. " % ctf.getObjId())
continue
micFn = mic.getFileName()
if not os.path.exists(micFn):
print "Skipping micrograph %s, it does not exists. " % micFn
continue
mic2 = mic.clone()
mic2.setCTF(ctf)
if hasPsd:
psdFile = ctf.getPsdFile()
newPsdFile = join(psdPath, '%s_psd.mrc' % mic.getMicName())
if not os.path.exists(psdFile):
print "PSD file %s does not exits" % psdFile
print "Skipping micrograph %s" % micFn
continue
pwutils.copyFile(psdFile, newPsdFile)
ctf.setPsdFile(newPsdFile)
micSet.append(mic2)
starFile = self._getPath(self.CTF_STAR_FILE % self.getObjId())
print "Writing set: %s" % inputCTF
print " to: %s" % starFile
acq = ctfMicSet.getAcquisition()
self.samplingRate = ctfMicSet.getSamplingRate()
mag = acq.getMagnification()
self.detectorPixelSize = 1e-4 * self.samplingRate * mag
writeSetOfMicrographs(micSet, starFile,
preprocessImageRow=self.preprocessMicrograph)
# Let's create a link from the project roots to facilitate the import
# of the star file into a Relion project
pwutils.createLink(starFile, os.path.basename(starFile))
def _createFilsXmlFile(self, templateFile, outDir, isSource=True):
EUCLIDEAN_DIST = 'eu_dst'
GEODESIC_DIST = 'geo_dst'
GEODESIC_LEN = 'geo_len'
FIL_SINU = 'sin'
# Copy the template xml to extra
filename = join(outDir, basename(templateFile))
copyFile(templateFile, filename)
# Prepare the data to be read as expected by the xml file
geomDict = OrderedDict()
if isSource:
self._xmlSources = filename
segLabel = encodePresegArea(self.segLabelS.get())
geomDict[EUCLIDEAN_DIST] = [
MIN_EUC_DIST_S, MAX_EUC_DIST_S, EUC_RANGE_S
]
geomDict[GEODESIC_DIST] = [
MIN_GEO_DIST_S, MAX_GEO_DIST_S, GEO_RANGE_S
]
geomDict[GEODESIC_LEN] = [
MIN_GEO_LEN_S, MAX_GEO_LEN_S, GEO_LEN_RANGE_S
]
geomDict[FIL_SINU] = [MIN_FIL_SINU_S, MAX_FIL_SINU_S, SINU_RANGE_S]
else:
self._xmlTargets = filename
segLabel = encodePresegArea(self.segLabelT.get())
geomDict[EUCLIDEAN_DIST] = [
MIN_EUC_DIST_T, MAX_EUC_DIST_T, EUC_RANGE_T
]
geomDict[GEODESIC_DIST] = [
MIN_GEO_DIST_T, MAX_GEO_DIST_T, GEO_RANGE_T
]
geomDict[GEODESIC_LEN] = [
MIN_GEO_LEN_T, MAX_GEO_LEN_T, GEO_LEN_RANGE_T
]
geomDict[FIL_SINU] = [MIN_FIL_SINU_T, MAX_FIL_SINU_T, SINU_RANGE_S]
# Edit the corresponding fields
xmlTree = ET.parse(filename)
rootElement = xmlTree.getroot()
mb_slice = rootElement.findall("mb_slice")
mb_slice = mb_slice[0]
mb_slice.find('side').text = str(segLabel)
for key, valList in geomDict.items():
for el in mb_slice.findall(key):
if el.attrib['id'] == 'low':
el.text = str(getattr(self, valList[0]).get())
elif el.attrib['id'] == 'high':
el.text = str(getattr(self, valList[1]).get())
elif el.attrib['id'] == 'sign':
el.text = self._decodeRangeValue(
getattr(self, valList[2]).get())
# Write the modified xml file.
xmlTree.write(filename, encoding='UTF-8', xml_declaration=True)
def writeCtfStarStep(self):
inputCTF = self.inputCTF.get()
if self.micrographSource == 0: # same as CTF estimation
ctfMicSet = inputCTF.getMicrographs()
else:
ctfMicSet = self.inputMicrographs.get()
micSet = SetOfMicrographs(filename=':memory:')
psd = inputCTF.getFirstItem().getPsdFile()
hasPsd = psd and os.path.exists(psd)
if hasPsd:
psdPath = self._getPath('PSD')
pwutils.makePath(psdPath)
print "Writing PSD files to %s" % psdPath
for ctf in inputCTF:
# Get the corresponding micrograph
mic = ctfMicSet[ctf.getObjId()]
if mic is None:
print(
"Skipping CTF id: %s, it is missing from input "
"micrographs. " % ctf.getObjId())
continue
micFn = mic.getFileName()
if not os.path.exists(micFn):
print "Skipping micrograph %s, it does not exists. " % micFn
continue
mic2 = mic.clone()
mic2.setCTF(ctf)
if hasPsd:
psdFile = ctf.getPsdFile()
newPsdFile = join(psdPath, '%s_psd.mrc' % mic.getMicName())
if not os.path.exists(psdFile):
print "PSD file %s does not exits" % psdFile
print "Skipping micrograph %s" % micFn
continue
pwutils.copyFile(psdFile, newPsdFile)
ctf.setPsdFile(newPsdFile)
micSet.append(mic2)
starFile = self._getPath(self.CTF_STAR_FILE % self.getObjId())
print "Writing set: %s" % inputCTF
print " to: %s" % starFile
writeSetOfMicrographs(micSet,
starFile,
preprocessImageRow=self.preprocessMicrograph)
# Let's create a link from the project roots to facilitate the import
# of the star file into a Relion project
pwutils.createLink(starFile, os.path.basename(starFile))
def importMicrographs(self, pattern, suffix, voltage, sphericalAberration,
amplitudeContrast):
""" Copy images matching the filename pattern
Register other parameters.
"""
filePaths = glob(pwutils.expandPattern(pattern))
# imgSet = SetOfMicrographs(filename=self.micsPairsSqlite, prefix=suffix)
imgSet = self._createSetOfMicrographs(suffix=suffix)
acquisition = imgSet.getAcquisition()
# Setting Acquisition properties
acquisition.setVoltage(voltage)
acquisition.setSphericalAberration(sphericalAberration)
acquisition.setAmplitudeContrast(amplitudeContrast)
# Call a function that should be implemented by each subclass
self._setOtherPars(imgSet)
outFiles = [imgSet.getFileName()]
imgh = emlib.image.ImageHandler()
img = imgSet.ITEM_TYPE()
n = 1
size = len(filePaths)
filePaths.sort()
for i, fn in enumerate(filePaths):
# ext = os.path.splitext(basename(f))[1]
dst = self._getExtraPath(basename(fn))
if self.copyToProj:
pwutils.copyFile(fn, dst)
else:
pwutils.createLink(fn, dst)
if n > 1:
for index in range(1, n + 1):
img.cleanObjId()
img.setFileName(dst)
img.setIndex(index)
imgSet.append(img)
else:
img.cleanObjId()
img.setFileName(dst)
# Fill the micName if img is a Micrograph.
self._fillMicName(img, fn, pattern)
imgSet.append(img)
outFiles.append(dst)
sys.stdout.write("\rImported %d/%d" % (i + 1, size))
sys.stdout.flush()
print("\n")
imgSet.write()
return imgSet
def createReport(self):
fnTex = "report.tex"
fhTex = open(self._getExtraPath(fnTex), "w")
template = """
\\documentclass[12pt]{article}
\\usepackage{amsmath,amsthm,amssymb,amsfonts}
\\usepackage{graphicx}
\\usepackage{pdfpages}
\\DeclareGraphicsExtensions{.pdf,.png,.jpg}
\\begin{document}
\\title{User Report}
\\author{Created by Scipion}
\\maketitle
"""
fhTex.write(template)
fnDir = self.filesPath.get()
if not os.path.isdir(fnDir):
fnDir = os.path.basename(fnDir)
for fileName in sorted(glob.glob(os.path.join(fnDir, "*"))):
fnDest = os.path.basename(fileName).lower()
fnDest = fnDest.replace(" ", "_")
fnDest = fnDest.replace(":", "_")
fnDest = fnDest.replace(";", "_")
pwutils.copyFile(fileName, self._getExtraPath(fnDest))
if fnDest.endswith(".tex") or fnDest.endswith(".txt"):
fhTex.write("\\input{%s}\n" % fnDest)
fhTex.write("\n")
elif fnDest.endswith(".png") or fnDest.endswith(".jpg"):
fhTex.write("\\begin{center}\n")
fhTex.write("\\includegraphics[width=14cm]{%s}\n" % fnDest)
fhTex.write("\\end{center}\n")
fhTex.write("\n")
elif fnDest.endswith(".pdf"):
fhTex.write("\\includepdf[pages=-]{%s}\n" % fnDest)
fhTex.write("\\clearpage\n")
fhTex.write("\n")
template = """
\\end{document}
"""
fhTex.write(template)
fhTex.close()
args = "-interaction=nonstopmode " + fnTex
self.runJob(PDFLATEX, args, cwd=self._getExtraPath())
fnPDF = self._getExtraPath("report.pdf")
if os.path.exists(fnPDF):
pwutils.moveFile(fnPDF, self._getPath("report.pdf"))
else:
raise Exception("PDF file was not produced.")
def copyOrLinkFileName(imgRow, prefixDir, outputDir, copyFiles=False):
index, imgPath = relionToLocation(imgRow.getValue(md.RLN_IMAGE_NAME))
baseName = os.path.basename(imgPath)
newName = os.path.join(outputDir, baseName)
if not os.path.exists(newName):
if copyFiles:
pwutils.copyFile(os.path.join(prefixDir, imgPath), newName)
else:
pwutils.createLink(os.path.join(prefixDir, imgPath), newName)
imgRow.setValue(md.RLN_IMAGE_NAME, locationToRelion(index, newName))
def _importFromFolderStep(self):
""" This function will copy Xmipp .pos files for
simulating a particle picking run...this is only
for testing purposes.
"""
extraDir = self._getExtraPath()
for f in pwutils.getFiles(self.importFolder.get()):
pwutils.copyFile(f, extraDir)
self.registerCoords(extraDir, readFromExtra=True)
def _importFromFolderStep(self):
""" This function will copy Xmipp .pos files for
simulating a particle picking run...this is only
for testing purposes.
"""
extraDir = self._getExtraPath()
for f in pwutils.getFiles(self.importFolder.get()):
pwutils.copyFile(f, extraDir)
self.registerCoords(extraDir, readFromExtra=True)
def initIterStep(self, iterN):
""" Prepare files and directories for the current iteration """
self._createIterWorkingDir(iterN) # create the working directory for the current iteration.
prevIter = iterN - 1
if iterN==1:
vol = self.input3DReference.get()
imgFn = self._getFileName('particles')
volFn = self._getFileName('init_vol')
refVol = self._getFileName('ref_vol', iter=iterN) # reference volume of the step.
#TODO check if the input is already a single mrc stack
self.writeParticlesByMic(imgFn)
em.ImageHandler().convert(vol.getLocation(), volFn) # convert the reference volume into a mrc volume
copyFile(volFn, refVol) #Copy the initial volume in the current directory.
for ref in self._allRefs():
refVol = self._getFileName('ref_vol_class', iter=iterN, ref=ref) # reference volume of the step.
iterVol = self._getFileName('iter_vol_class', iter=iterN, ref=ref) # refined volumes of the step
if iterN == 1:
copyFile(volFn, iterVol) #Copy the initial volume in current directory.
else:
self._splitParFile(iterN, ref, self.cpuList[ref-1])
prevIterVol = self._getFileName('iter_vol_class', iter=prevIter, ref=ref) # volumes of the previous iteration
copyFile(prevIterVol, refVol) #Copy the reference volume as refined volume.
copyFile(refVol, iterVol) #Copy the reference volume as refined volume.
def classifyStep(self, imcFile, numberOfFactors, numberOfClasses):
""" Apply the selected filter to particles.
Create the set of particles.
"""
# Copy file to working directory, it could be also a link
imcLocalFile = basename(imcFile)
copyFile(imcFile, self._getPath(imcLocalFile))
self.info("Copied file '%s' to '%s' " % (imcFile, imcLocalFile))
# Spider automatically add _IMC to the ca-pca result file
imcBase = removeExt(imcLocalFile).replace('_IMC', '')
self._params.update({'x27': numberOfFactors,
'[cas_prefix]': imcBase,
})
self._updateParams()
self.runTemplate(self.getScript(), self.getExt(), self._params)
def _createPickingXmlFile(self, templateFile, outDir):
# Copy the template xml to extra
filename = join(outDir, basename(templateFile))
self._xmlSlices = filename
copyFile(templateFile, filename)
# Edit the corresponding fields
xmlTree = ET.parse(filename)
rootElement = xmlTree.getroot()
mb_slice = rootElement.findall("mb_slice")
mb_slice = mb_slice[0]
mb_slice.find(SIDE).text = str(
encodePresegArea(getattr(self, SIDE).get()))
mb_slice.find(CONT).text = self._decodeContValue(
getattr(self, CONT).get())
# Write the modified xml file.
xmlTree.write(filename, encoding='UTF-8', xml_declaration=True)
def _loadHosts(self, hosts):
""" Loads hosts configuration from hosts file. """
# If the host file is not passed as argument...
projHosts = self.getPath(PROJECT_CONFIG, PROJECT_CONFIG_HOSTS)
if hosts is None:
# Try first to read it from the project file .config./hosts.conf
if os.path.exists(projHosts):
hostsFile = projHosts
else:
localDir = os.path.dirname(os.environ['SCIPION_LOCAL_CONFIG'])
hostsFile = [os.environ['SCIPION_HOSTS'],
os.path.join(localDir, 'hosts.conf')]
else:
pwutils.copyFile(hosts, projHosts)
hostsFile = hosts
self._hosts = pwconfig.loadHostsConf(hostsFile)
def _loadProtocols(self, protocolsConf):
""" Load protocol configuration from a .conf file. """
# If the host file is not passed as argument...
projProtConf = self.getPath(PROJECT_CONFIG, PROJECT_CONFIG_PROTOCOLS)
if protocolsConf is None:
# Try first to read it from the project file .config/hosts.conf
if os.path.exists(projProtConf):
protConf = projProtConf
else:
localDir = os.path.dirname(os.environ['SCIPION_LOCAL_CONFIG'])
protConf = [os.environ['SCIPION_PROTOCOLS'],
os.path.join(localDir, 'protocols.conf')]
else:
pwutils.copyFile(protocolsConf, projProtConf)
protConf = protocolsConf
self._protocolViews = pwconfig.loadProtocolsConf(protConf)
def runProjectionMatching(self, iterN, refN, args, **kwargs):
""" Loop over all CTF groups and launch a projection matching for each one.
Note: Iterate ctf groups in reverse order to have same order as
in add_to docfiles from angular_class_average. #FIXME: check why reverse order is needed
"""
projMatchRootName = self._getFileName('projMatchRootNames',
iter=iterN,
ref=refN)
refname = self._getFileName('projectLibraryStk', iter=iterN, ref=refN)
numberOfCtfGroups = self.numberOfCtfGroups.get()
# ctfGroupName = self._getPath(self.ctfGroupDirectory, '%(ctfGroupRootName)s')
#remove output metadata
cleanPath(projMatchRootName)
for ctfN in reversed(list(self.allCtfGroups())):
self._log.info('CTF group: %d/%d' % (ctfN, numberOfCtfGroups))
ctfArgs = ' -i %(inputdocfile)s -o %(outputname)s --ref %(refname)s'
inputdocfile = self._getBlockFileName(
ctfBlockName, ctfN, self.docFileInputAngles[iterN - 1])
outputname = self._getBlockFileName(ctfBlockName, ctfN,
projMatchRootName)
baseTxtFile = removeExt(refname)
neighbFile = baseTxtFile + '_sampling.xmd'
cleanPath(neighbFile)
neighbFileb = baseTxtFile + '_group' + str(ctfN).zfill(
self.FILENAMENUMBERLENGTH) + '_sampling.xmd'
copyFile(neighbFileb, neighbFile)
print "copied file ", neighbFileb, "to", neighbFile
threads = self.numberOfThreads.get()
trhArgs = ' --mem %(mem)s --thr %(thr)s'
thrParams = {
'mem': self.availableMemory.get() * threads,
'thr': threads,
}
if self.doCTFCorrection and self._referenceIsCtfCorrected[iterN]:
ctfArgs += ' --ctf %s' % self._getBlockFileName(
'', ctfN, self._getFileName('stackCTFs'))
progArgs = ctfArgs % locals() + args + trhArgs % thrParams
self.runJob('xmipp_angular_projection_matching', progArgs, **kwargs)
def copyOrLinkBinary(self,
imgRow,
label,
basePath,
destBasePath,
copyFiles=False):
index, imgPath = relionToLocation(imgRow.get(label))
baseName = os.path.join(os.path.dirname(imgPath),
os.path.basename(imgPath))
os.makedirs(os.path.join(destBasePath, os.path.dirname(imgPath)),
exist_ok=True)
newName = os.path.join(destBasePath, baseName)
if not os.path.exists(newName):
if copyFiles:
pwutils.copyFile(os.path.join(basePath, imgPath), newName)
else:
pwutils.createLink(os.path.join(basePath, imgPath), newName)
imgRow.set(label, locationToRelion(index, newName))
def _mergeAllParFiles(self, iterN, ref, numberOfBlocks):
""" This method merge all parameters files that have been created in a refineIterStep """
file2 = self._getFileName('output_par_class', iter=iterN, ref=ref)
if numberOfBlocks != 1:
f2 = open(file2, 'w+')
for block in range(1, numberOfBlocks + 1):
file1 = self._getFileName('output_par_block_class', block=block, iter=iterN, ref=ref)
f1 = open(file1)
for l in f1:
if not l.startswith('C'):
f2.write(l)
f1.close()
f2.close()
else:
file1 = self._getFileName('output_par_block_class', block=1, iter=iterN, ref=ref)
copyFile(file1, file2)
def createOutputStep(self, objId):
fnFile = os.path.basename(self.inputFile.get())
copyFile(self.inputFile.get(), self._getPath(fnFile))
tables = self.readTables(self._getPath(fnFile))
for tableName, sampleNames, allT, allMeasurements in tables:
self.experiment = PKPDExperiment()
self.experiment.general["title"] = self.title.get()
self.experiment.general["comment"] = self.comment.get()
# Add variables
if not self.addVar(self.experiment, self.tVar.get()):
raise Exception("Cannot process time variable")
if not self.addVar(self.experiment, self.xVar.get()):
raise Exception("Cannot process measurement variable")
tvarName = self.tVar.get().split(';')[0].replace(';', '')
xvarName = self.xVar.get().split(';')[0].replace(';', '')
# Create the samples
for sampleName in sampleNames:
self.experiment.samples[sampleName] = PKPDSample()
self.experiment.samples[sampleName].parseTokens(
[sampleName], self.experiment.variables,
self.experiment.doses, self.experiment.groups)
self.experiment.samples[sampleName].addMeasurementPattern(
[sampleName, tvarName, xvarName])
samplePtr = self.experiment.samples[sampleName]
exec("samplePtr.measurement_%s=%s" % (tvarName, allT))
# Fill the samples
for i in range(len(allT)):
for j in range(len(sampleNames)):
samplePtr = self.experiment.samples[sampleNames[j]]
exec('samplePtr.measurement_%s.append("%s")' %
(xvarName, allMeasurements[i][j]))
self.experiment.write(
self._getPath("experiment%s.pkpd" % tableName))
self.experiment._printToStream(sys.stdout)
self._defineOutputs(
**{"outputExperiment%s" % tableName: self.experiment})
def createFinalFilesStep(self):
# -----metadata to save all final models-------
finalModel = self._getFileName('finalModel')
finalModelMd = self._getMetadata()
# -----metadata to save all final particles-----
finalData = self._getFileName('finalData')
fn = self._getFileName('rawFinalData')
print("FN: ", fn)
tableIn = Table(fileName=fn, tableName='particles')
cols = [str(c) for c in tableIn.getColumnNames()]
ouTable = Table(columns=cols, tableName='particles')
for rLev in self._getRLevList():
it = self._lastIter(rLev)
modelFn = self._getFileName('model', iter=it,
lev=self._level, rLev=rLev)
modelMd = self._getMetadata('model_classes@' + modelFn)
refLabel = md.RLN_MLMODEL_REF_IMAGE
imgRow = md.getFirstRow(modelMd)
fn = imgRow.getValue(refLabel)
mapId = self._getRunLevId(rLev=rLev)
newMap = self._getMapById(mapId)
imgRow.setValue(refLabel, newMap)
copyFile(fn, newMap)
self._mapsDict[fn] = mapId
imgRow.addToMd(finalModelMd)
dataFn = self._getFileName('data', iter=it,
lev=self._level, rLev=rLev)
pTable = Table()
for row in pTable.iterRows(dataFn, tableName='particles'):
newRow = row._replace(rlnClassNumber=rLev)
ouTable.addRow(*newRow)
self.writeStar(finalData, ouTable)
finalModelMd.write('model_classes@' + finalModel)
def createOutputStep(self, atomStructPaths):
""" Copy the PDB structures and register the output object.
"""
outASs = emobj.SetOfAtomStructs().create(self._getPath())
for atomStructPath in atomStructPaths:
if not exists(atomStructPath):
raise Exception("Atomic structure not found at *%s*" %
atomStructPath)
baseName = basename(atomStructPath)
localPath = abspath(self._getExtraPath(baseName))
if str(atomStructPath) != str(localPath): # from local file
pwutils.copyFile(atomStructPath, localPath)
localPath = relpath(localPath)
outASs.append(emobj.AtomStruct(filename=localPath))
self._defineOutputs(**{self._OUTNAME: outASs})
def runFilterVolumeStep(self, iterN, refN, constantToAddToFiltration):
reconstructedVolume = self._getFileName('reconstructedFileNamesIters', iter=iterN, ref=refN)
reconstructedFilteredVolume = self.reconstructedFilteredFileNamesIters[iterN][refN]
if self.useFscForFilter:
if self._fourierMaxFrequencyOfInterest[iterN+1] == -1:
fourierMaxFrequencyOfInterest = self.resolSam / self._getFourierMaxFrequencyOfInterest(iterN, refN)
print "el valor de la resolucion es :", self._getFourierMaxFrequencyOfInterest(iterN, refN)
filterInPxAt = fourierMaxFrequencyOfInterest + constantToAddToFiltration
else:
filterInPxAt = constantToAddToFiltration
if (filterInPxAt > 0.5):
copyFile(reconstructedVolume, reconstructedFilteredVolume)
else:
args = ' -i %(volume)s -o %(filteredVol)s --fourier low_pass %(filter)s'
params = {'volume': reconstructedVolume,
'filteredVol': reconstructedFilteredVolume,
'filter' : filterInPxAt
}
self.runJob("xmipp_transform_filter", args % params)
def mergeClassesStep(self):
if self.doGrouping:
from cryomethods.functions import NumpyImgHandler
npIh = NumpyImgHandler()
makePath(self._getLevelPath(self._level))
listVol = self._getFinalMaps()
matrix = npIh.getAllNpList(listVol, 2)
labels = self._clusteringData(matrix)
clsChange = 0
prevStar = self._getFileName('rawFinalData')
pTable = Table()
origStar = self._getFileName('input_star', lev=1, rLev=1)
opticsTable = Table(fileName=origStar, tableName='optics')
print("OPTABLE: ", origStar, opticsTable.size())
for row in pTable.iterRows(prevStar, key="rlnClassNumber",
tableName='particles'):
clsPart = row.rlnClassNumber
newClass = labels[clsPart - 1] + 1
newRow = row._replace(rlnClassNumber=newClass)
if not newClass == clsChange:
if not clsChange == 0:
self.writeStar(fn, ouTable, opticsTable)
clsChange = newClass
fn = self._getFileName('input_star', lev=self._level,
rLev=newClass)
tableIn = Table(fileName=prevStar, tableName='particles')
cols = [str(c) for c in tableIn.getColumnNames()]
ouTable = Table(columns=cols, tableName='particles')
ouTable.addRow(*newRow)
print("mergeClassesStep ouTable.size: ", ouTable.size())
self.writeStar(fn, ouTable, opticsTable)
else:
prevData = self._getFileName('rawFinalData')
finalData = self._getFileName('finalData')
prevModel = self._getFileName('rawFinalModel')
finalModel = self._getFileName('finalModel')
copyFile(prevData, finalData)
copyFile(prevModel, finalModel)
def alignParticlesStep(self, innerRadius, outerRadius):
""" Execute the pairwise.msa script to align the particles. """
particles = self.inputParticles.get()
xdim = particles.getDimensions()[0]
self._params.update({
'[idim-header]': xdim,
'[cg-option]': self.cgOption.get(),
'[inner-rad]': innerRadius,
'[outer-rad]': outerRadius, # convert radius to diameter
'[search-range]': self.searchRange.get(),
'[step-size]': self.stepSize.get(),
'[selection_list]': self._params['particlesSel'],
'[unaligned_image]': self._params['particles'] + '@******',
'[nummps]': self.numberOfThreads.get(),
})
copy1Script = Plugin.getScript('mda/center1.msa')
newScript = pwutils.replaceBaseExt(copy1Script, self.getExt())
pwutils.copyFile(copy1Script, self._getPath(newScript))
self.runTemplate(self.getScript(), self.getExt(), self._params)
def testAffinityProp(self):
from cryomethods.functions import MlMethods, NumpyImgHandler
Plugin.setEnviron()
volList = self._getVolList()
ml = MlMethods()
npIh = NumpyImgHandler()
dictNames = {}
groupDict = {}
matrix = npIh.getAllNpList(volList, 2)
# covMatrix, listNpVol = ml.getCovMatrixAuto(volList, 2)
# eigenVec, eigVal = ml.doPCA(covMatrix, 1)
# matrix = ml.getMatProjAuto(listNpVol, eigenVec)
labels = ml.doSklearnAffProp(matrix)
# labels = ml.doSklearnKmeans(matrix)
# labels = ml.doSklearnDBSCAN(matrix)
print(labels)
if labels is not None:
f = open('volumes_clustered.txt', 'w')
for vol, label in zip(volList, labels):
dictNames[vol] = label
destFn = '/home/josuegbl/PROCESSING/TESLA/projects/RNC_HTLnd2/MAPS' + basename(
vol)
copyFile(vol, destFn)
for key, value in sorted(dictNames.items()):
groupDict.setdefault(value, []).append(key)
counter = 0
for key, value in groupDict.items():
valueStr = ' '.join(value)
line = 'chimera %s\n' % valueStr
f.write(line)
counter += 1
avgFn = 'map_average_class_%02d.mrc' % counter
avgNp, _ = npIh.getAverageMap(value)
npIh.saveMrc(avgNp, avgFn)
f.close()
def test_sidesplitter(self):
protRef, protMask = self._createRef3DProtBox("auto-refine",
ProtRelionRefine3D)
protRef._createFilenameTemplates()
volPath = protRef._getFileName('finalvolume', ref3d=1).split(':')[0]
volHalf1 = protRef._getFileName('final_half1_volume',
ref3d=1).split(':')[0]
volHalf2 = protRef._getFileName('final_half2_volume',
ref3d=1).split(':')[0]
copyFile(self.volFn, volPath)
copyFile(self.half1Fn, volHalf1)
copyFile(self.half2Fn, volHalf2)
protRef.outputVolume.setFileName(volPath)
protRef.outputVolume.setHalfMaps([volHalf1, volHalf2])
project = protRef.getProject()
project._storeProtocol(protRef)
print(magentaStr("\n==> Testing sidesplitter - after refine 3d:"))
sidesplitterProt = self.newProtocol(ProtSideSplitter,
protRefine=protRef,
mask=protMask.outputMask)
sidesplitterProt.setObjLabel('sidesplitter after Auto-refine')
self.launchProtocol(sidesplitterProt)
self._validations(sidesplitterProt.outputVolume1, 60, 3)
def alignParticlesStep(self, innerRadius, outerRadius):
""" Execute the pairwise.msa script to alignm the particles.
"""
particles = self.inputParticles.get()
xdim = particles.getDimensions()[0]
self._params.update({
'[idim-header]': xdim,
'[cg-option]': self.cgOption.get(),
'[inner-rad]': innerRadius,
'[outer-rad]': outerRadius, # convert radius to diameter
'[search-range]': self.searchRange.get(),
'[step-size]': self.stepSize.get(),
'[selection_list]': self._params['particlesSel'],
'[unaligned_image]': self._params['particles'] + '@******',
'[nummps]': self.numberOfThreads.get(),
})
copy1Script = getScript('mda/center1.msa')
newScript = pwutils.replaceBaseExt(copy1Script, self.getExt())
pwutils.copyFile(copy1Script, self._getPath(newScript))
self.runTemplate(self.getScript(), self.getExt(), self._params)
def classifyStep(self, imcFile, numberOfFactors, numberOfClasses):
""" Apply the selected filter to particles.
Create the set of particles.
"""
# Copy file to working directory, it could be also a link
imcLocalFile = basename(imcFile)
copyFile(imcFile, self._getPath(imcLocalFile))
self.info("Copied file '%s' to '%s' " % (imcFile, imcLocalFile))
# Spider automatically add _IMC to the ca-pca result file
# JMRT: I have modify the kmeans.msa script to not add _IMC
# automatically, it can be also used with _SEQ suffix,
# so we will pass the whole cas_file
imcBase = removeExt(imcLocalFile)#.replace('_IMC', '')
imcPrefix = imcBase.replace('_IMC', '').replace('_SEQ', '')
self._params.update({'x27': numberOfFactors,
'[cas_prefix]': imcPrefix,
'[cas_file]': imcBase,
})
self._updateParams()
self.runTemplate(self.getScript(), self.getExt(), self._params)
def deformStep(self, inputVolFn, refVolFn, i, j, step_id):
if j == 0:
refVolFn_aux = self._getExtraPath(
os.path.basename(
os.path.splitext(refVolFn)[0] + self.OUTPUT_SUFFIX %
(j + 1)))
else:
refVolFn_aux = self._getTmpPath(self.ALIGNED_VOL % (j + 1))
if i == 0:
fnOut_aux = self._getExtraPath(
os.path.basename(
os.path.splitext(inputVolFn)[0] + self.OUTPUT_SUFFIX %
(i + 1)))
else:
fnOut_aux = self._getTmpPath(self.ALIGNED_VOL % (i + 1))
refVolFn = self._getTmpPath("reference_%d.mrc" % step_id)
fnOut = self._getTmpPath("input_%d.mrc" % step_id)
copyFile(refVolFn_aux, refVolFn)
copyFile(fnOut_aux, fnOut)
fnOut2 = self._getTmpPath('vol%dDeformedTo%d.mrc' % (i + 1, j + 1))
params = ' -i %s -r %s -o %s --l1 %d --l2 %d --sigma "%s" --oroot %s --regularization %f' %\
(fnOut, refVolFn, fnOut2, self.l1.get(), self.l2.get(), self.sigma.get(),
self._getExtraPath('Pair_%d_%d' % (i, j)), self.penalization.get())
if self.newRmax != 0:
params = params + ' --Rmax %d' % self.newRmax
if self.useGpu.get():
self.runJob("xmipp_cuda_volume_deform_sph", params)
else:
params = params + ' --thr 1'
self.runJob("xmipp_volume_deform_sph", params)
self.computeCorr(fnOut2, refVolFn, i, j)
cleanPath(fnOut)
cleanPath(refVolFn)
cleanPath(fnOut2)
def classifyStep(self, imcFile, numberOfFactors, numberOfClasses):
""" Apply the selected filter to particles.
Create the set of particles.
"""
# Copy file to working directory, it could be also a link
imcLocalFile = basename(imcFile)
copyFile(imcFile, self._getPath(imcLocalFile))
self.info("Copied file '%s' to '%s' " % (imcFile, imcLocalFile))
# Spider automatically add _IMC to the ca-pca result file
# JMRT: I have modify the kmeans.msa script to not add _IMC
# automatically, it can be also used with _SEQ suffix,
# so we will pass the whole cas_file
imcBase = removeExt(imcLocalFile)#.replace('_IMC', '')
imcPrefix = imcBase.replace('_IMC', '').replace('_SEQ', '')
self._params.update({'x27': numberOfFactors,
'x30': self.numberOfThreads.get(),
'[cas_prefix]': imcPrefix,
'[cas_file]': imcBase,
})
self._updateParams()
self.runTemplate(self.getScript(), self.getExt(), self._params)
def _splitParFile(self, iterN, ref, numberOfBlocks):
""" This method split the parameter files that have been previously merged """
prevIter = iterN - 1
file1 = self._getFileName('output_par_class', iter=prevIter, ref=ref)
if numberOfBlocks != 1:
for block in range(1, numberOfBlocks + 1):
f1 = open(file1)
file2 = self._getFileName('input_par_block_class',
prevIter=prevIter,
iter=iterN,
ref=ref,
block=block)
f2 = open(file2, 'w+')
_, finalPart = self._particlesInBlock(block, numberOfBlocks)
for l in f1:
if l.startswith('C'):
f2.write(l)
else:
split = l.split()
numPart = int(''.join(split[:1]))
if numPart <= finalPart:
f2.write(l)
else:
break
f2.close()
f1.close()
else:
file2 = self._getFileName('input_par_block_class',
prevIter=prevIter,
iter=iterN,
ref=ref,
block=1)
copyFile(file1, file2)
def importMaskStep(self, path, samplingRate):
""" Copy mask from maskPath.
"""
self.info("Using mask path: '%s'" % path)
# Copy the image file into the project
dst = self._getExtraPath(basename(path))
pwutils.copyFile(path, dst)
# Retrive image dimensions
imgh = ImageHandler()
_, _, z, n = imgh.getDimensions(dst)
# Create a 2D or 3D Mask, consider the case of n>1
# as the case of some volume maps in mrc format
if z > 1 or n > 1:
mask = VolumeMask()
else:
mask = Mask()
mask.setFileName(dst)
mask.setSamplingRate(samplingRate)
self._defineOutputs(outputMask=mask)
def generateReportImages(self, firstThumbIndex=0, micScaleFactor=6):
""" Function to generate thumbnails for the report. Uses data from
self.thumbPaths.
===== Params =====
- firstThumbIndex: index from which we start generating thumbnails
- micScaleFactor: how much to reduce in size the micrographs.
"""
ih = ImageHandler()
numMics = len(self.thumbPaths[MIC_PATH])
for i in range(firstThumbIndex, numMics):
print('Generating images for mic %d' % (i+1))
# mic thumbnails
dstImgPath = join(self.reportDir, self.thumbPaths[MIC_THUMBS][i])
if not exists(dstImgPath):
if self.micThumbSymlinks:
pwutils.copyFile(self.thumbPaths[MIC_PATH][i], dstImgPath)
else:
ih.computeThumbnail(self.thumbPaths[MIC_PATH][i],
dstImgPath, scaleFactor=micScaleFactor,
flipOnY=True)
# shift plots
if SHIFT_THUMBS in self.thumbPaths:
dstImgPath = join(self.reportDir, self.thumbPaths[SHIFT_THUMBS][i])
if not exists(dstImgPath):
pwutils.copyFile(self.thumbPaths[SHIFT_PATH][i], dstImgPath)
# Psd thumbnails
# If there ARE thumbnail for the PSD (no ctf protocol and
# moviealignment hasn't computed it
if PSD_THUMBS in self.thumbPaths:
if self.ctfProtocol is None:
srcImgPath = self.thumbPaths[PSD_PATH][i]
dstImgPath = join(self.reportDir, self.thumbPaths[PSD_THUMBS][i])
if not exists(dstImgPath) and srcImgPath is not None:
if srcImgPath.endswith('psd'):
psdImg1 = ih.read(srcImgPath)
psdImg1.convertPSD()
psdImg1.write(dstImgPath)
ih.computeThumbnail(dstImgPath, dstImgPath,
scaleFactor=1, flipOnY=True)
else:
pwutils.copyFile(srcImgPath, dstImgPath)
else:
dstImgPath = join(self.reportDir, self.thumbPaths[PSD_THUMBS][i])
if not exists(dstImgPath):
ih.computeThumbnail(self.thumbPaths[PSD_PATH][i],
dstImgPath, scaleFactor=1, flipOnY=True)
return
def create_service_project(request):
if request.is_ajax():
import os
from pyworkflow.object import Pointer
from pyworkflow.em.protocol import ProtUnionSet, ProtImportAverages
from pyworkflow.em.packages.xmipp3 import XmippProtRansac, XmippProtReconstructSignificant, XmippProtAlignVolumeForWeb
from pyworkflow.em.packages.eman2 import EmanProtInitModel
from pyworkflow.em.packages.simple import ProtPrime
# Create a new project
projectName = request.GET.get('projectName')
# Filename to use as test data
testDataKey = request.GET.get('testData')
#customMenu = os.path.join(os.path.dirname(os.environ['SCIPION_PROTOCOLS']), 'menu_initvolume.conf')
manager = getServiceManager('myfirstmap')
writeCustomMenu(manager.protocols)
project = manager.createProject(projectName, runsView=1,
hostsConf=manager.hosts,
protocolsConf=manager.protocols
)
project.getSettings().setLifeTime(14)
project.saveSettings()
#copyFile(customMenu, project.getPath('.config', 'protocols.conf'))
# 1. Import averages
# If using test data execute the import averages run
# options are set in 'project_utils.js'
dsMDA = DataSet.getDataSet('initial_volume')
if testDataKey :
fn = dsMDA.getFile(testDataKey)
newFn = join(project.uploadPath, basename(fn))
copyFile(fn, newFn)
label_import = 'import averages ('+ testDataKey +')'
protImport = project.newProtocol(ProtImportAverages, objLabel=label_import)
protImport.filesPath.set(newFn)
protImport.samplingRate.set(1.)
project.launchProtocol(protImport, wait=True)
else:
protImport = project.newProtocol(ProtImportAverages, objLabel='import averages')
project.saveProtocol(protImport)
# 2a. Ransac
protRansac = project.newProtocol(XmippProtRansac)
protRansac.setObjLabel('xmipp - ransac')
protRansac.inputSet.set(protImport)
protRansac.inputSet.setExtended('outputAverages')
if testDataKey :
setProtocolParams(protRansac, testDataKey)
project.saveProtocol(protRansac)
# 2b. Eman
protEmanInitVol = project.newProtocol(EmanProtInitModel)
protEmanInitVol.setObjLabel('eman - initial vol')
protEmanInitVol.inputSet.set(protImport)
protEmanInitVol.inputSet.setExtended('outputAverages')
if testDataKey :
setProtocolParams(protEmanInitVol, testDataKey)
project.saveProtocol(protEmanInitVol)
# 2c. Significant
protSignificant = project.newProtocol(XmippProtReconstructSignificant)
protSignificant.setObjLabel('xmipp - significant')
protSignificant.inputSet.set(protImport)
protSignificant.inputSet.setExtended('outputAverages')
if testDataKey :
setProtocolParams(protSignificant, testDataKey)
project.saveProtocol(protSignificant)
# 3. Join result volumes
p1 = Pointer()
p1.set(protRansac)
p1.setExtended('outputVolumes')
p2 = Pointer()
p2.set(protEmanInitVol)
p2.setExtended('outputVolumes')
p3 = Pointer()
p3.set(protSignificant)
p3.setExtended('outputVolume')
protJoin = project.newProtocol(XmippProtAlignVolumeForWeb)
protJoin.setObjLabel('align volumes')
protJoin.inputVolumes.append(p1)
protJoin.inputVolumes.append(p2)
protJoin.inputVolumes.append(p3)
# protJoin.inputVolumes.append(p4)
project.saveProtocol(protJoin)
protValidate = project.newProtocol(XmippProtValidateNonTilt)
protValidate.setObjLabel('validate nontilt')
protValidate.inputVolumes.set(protJoin)
protValidate.inputVolumes.setExtended('outputVolumes')
protValidate.inputParticles.set(protImport)
protValidate.inputParticles.setExtended('outputAverages')
protValidate.numberOfThreads.set(8)
if testDataKey :
setProtocolParams(protValidate, testDataKey)
# protJoin.inputVolumes.append(p4)
project.saveProtocol(protValidate)
return HttpResponse(mimetype='application/javascript')
def createOutputStep(self, objId):
fnFile = os.path.basename(self.inputFile.get())
copyFile(self.inputFile.get(),self._getPath(fnFile))
self.experiment = PKPDExperiment()
self.experiment.general["title"]=self.title.get()
self.experiment.general["comment"]=self.comment.get()
ok = True
# Read the variables
self.listOfVariables = []
for line in self.variables.get().replace('\n',';;').split(';;'):
tokens = line.split(';')
if len(tokens)!=5:
print("Skipping variable: ",line)
ok = False
continue
varname = tokens[0].strip()
self.listOfVariables.append(varname)
self.experiment.variables[varname] = PKPDVariable()
self.experiment.variables[varname].parseTokens(tokens)
# Read vias
for line in self.vias.get().replace('\n',';;').split(';;'):
if line!="":
tokens = line.split(';')
if len(tokens)<2:
print("Skipping via: ",line)
ok = False
continue
vianame = tokens[0].strip()
self.experiment.vias[vianame] = PKPDVia()
self.experiment.vias[vianame].parseTokens(tokens)
# Read the doses
for line in self.doses.get().replace('\n',';;').split(';;'):
if line!="":
tokens = line.split(';')
if len(tokens)<5:
print("Skipping dose: ",line)
ok = False
continue
dosename = tokens[0].strip()
self.experiment.doses[dosename] = PKPDDose()
self.experiment.doses[dosename].parseTokens(tokens,self.experiment.vias)
# Read the sample doses
for line in self.dosesToSamples.get().replace('\n',';;').split(';;'):
try:
tokens = line.split(';')
samplename = tokens[0].strip()
if len(tokens)>1:
tokens[1]="dose="+tokens[1]
self.experiment.samples[samplename] = PKPDSample()
self.experiment.samples[samplename].parseTokens(tokens, self.experiment.variables, self.experiment.doses,
self.experiment.groups)
except Exception as e:
ok = False
print("Problem with line: ",line,str(e))
if ok:
# Read the measurements
self.readTextFile()
self.experiment.write(self._getPath("experiment.pkpd"))
self.experiment._printToStream(sys.stdout)
self._defineOutputs(outputExperiment=self.experiment)
def test_SqliteMapper(self):
fn = self.getOutputPath("basic.sqlite")
fnGoldCopy = self.getOutputPath('gold.sqlite')
fnGold = self.modelGoldSqlite
print ">>> Using db: ", fn
print " gold: ", fnGold
print " gold copy: ", fnGoldCopy
pwutils.copyFile(fnGold, fnGoldCopy)
mapper = SqliteMapper(fn)
# Insert a Complex
c = Complex.createComplex() # real = 1, imag = 1
mapper.insert(c)
# Insert an Integer
i = Integer(1)
mapper.insert(i)
# Insert two Boolean
b = Boolean(False)
b2 = Boolean(True)
mapper.insert(b)
mapper.insert(b2)
#Test storing pointers
p = Pointer()
p.set(c)
mapper.insert(p)
# Store csv list
strList = ['1', '2', '3']
csv = CsvList()
csv += strList
mapper.insert(csv)
# Test normal List
iList = List()
mapper.insert(iList) # Insert the list when empty
i1 = Integer(4)
i2 = Integer(3)
iList.append(i1)
iList.append(i2)
mapper.update(iList) # now update with some items inside
pList = PointerList()
p1 = Pointer()
p1.set(b)
p2 = Pointer()
p2.set(b2)
pList.append(p1)
pList.append(p2)
mapper.store(pList)
# Test to add relations
relName = 'testRelation'
creator = c
mapper.insertRelation(relName, creator, i, b)
mapper.insertRelation(relName, creator, i, b2)
mapper.insertRelation(relName, creator, b, p)
mapper.insertRelation(relName, creator, b2, p)
# Save changes to file
mapper.commit()
self.assertEqual(1, mapper.db.getVersion())
# Intentionally keep gold.sqlite as version 0 to check
# backward compatibility
db = SqliteDb()
db._createConnection(fnGold, timeout=1000)
print "Checking old version is properly read"
self.assertEqual(0, db.getVersion())
colNamesGold = [u'id', u'parent_id', u'name', u'classname',
u'value', u'label', u'comment', u'object_parent_id',
u'object_child_id', u'creation']
colNames = [col[1] for col in db.getTableColumns('Relations')]
self.assertEqual(colNamesGold, colNames)
# Reading test
mapper2 = SqliteMapper(fnGoldCopy, globals())
print "Checking that Relations table is updated and version to 1"
self.assertEqual(1, mapper2.db.getVersion())
# Check that the new column is properly added after updated to version 1
colNamesGold += [u'object_parent_extended', u'object_child_extended']
colNames = [col[1] for col in mapper2.db.getTableColumns('Relations')]
self.assertEqual(colNamesGold, colNames)
l = mapper2.selectByClass('Integer')[0]
self.assertEqual(l.get(), 1)
c2 = mapper2.selectByClass('Complex')[0]
self.assertTrue(c.equalAttributes(c2))
b = mapper2.selectByClass('Boolean')[0]
self.assertTrue(not b.get())
p = mapper2.selectByClass('Pointer')[0]
self.assertEqual(c, p.get())
csv2 = mapper2.selectByClass('CsvList')[0]
self.assertTrue(list.__eq__(csv2, strList))
# Iterate over all objects
allObj = mapper2.selectAll()
iterAllObj = mapper2.selectAll(iterate=True)
for a1, a2 in zip(allObj, iterAllObj):
# Note compare the scalar objects, which have a well-defined comparison
if isinstance(a1, Scalar):
self.assertEqual(a1, a2)
# Test relations
childs = mapper2.getRelationChilds(relName, i)
parents = mapper2.getRelationParents(relName, p)
# In this case both childs and parent should be the same
for c, p in zip(childs, parents):
self.assertEqual(c, p, "Childs of object i, should be the parents of object p")
relations = mapper2.getRelationsByCreator(creator)
for row in relations:
print row