Python PipelineLogger.log方法代码示例

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
    def createNewScanSession(self,down_most_folder, filelist):
        # Return parts of the folder path, the ones of interest
        try:
            folder = down_most_folder.replace(self.root_folder,"")
            folder_parts = folder.split("/")  # List containing each parts/folders of the full path
            filename_parts = filelist[0].split("_")  # Takes the first filename and create a list of its parts

            rid = folder_parts[1][-4:]  # Get the last 4 characters
            if re.search('[a-zA-Z]', rid) is not None:
                rid = filename_parts[3]
                if re.search('[a-zA-Z]', rid) is not None:
                    PipelineLogger.log('root', 'error', 'File recurse error on Folder RID cannot be identified. - {0}, \n Filelist - {1}'.format(folder, filelist))
                    return None
            scan_type = self.determineScanType(folder_parts[-3])

            scan_date = folder_parts[-2].split('_')[0]
            scan_time = folder_parts[-2].split('_', 1)[-1].replace("_", ":")
            s_identifier = filename_parts[-2]
            i_identifier = filename_parts[-1].split('.', 1)[0]
            file_type = self.determineExtension(filename_parts)
            download_folder = down_most_folder
            raw_folder = '{0}/{1}/{2}/{3}/{4}_{5}_{6}/raw'.format(sc.studyDatabaseRootDict[self.study], 'ADNI', scan_type, rid, scan_date, s_identifier, i_identifier)

            newScanSession = ScanSession\
                ('ADNI', rid, scan_type, scan_date, scan_time,
                 s_identifier, i_identifier, download_folder, raw_folder, file_type)
            if scan_type == 'unknown':
                newScanSession.printObject()
                return None
            return newScanSession
        except Exception as e:
            return None

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
 def checkMncFile(self, mncFile):
     cmd = Config.ConverterConfig.mincSource_exec + '; mincinfo ' + mncFile + ' | grep \"time\" '
     p = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
     out, err = p.communicate()
     if not out: # If no output, string empty
         PipelineLogger.log('converter', 'debug', mncFile + 'does not have a time axis!')
         os.remove(mncFile)

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
    def process(self, processingItem):
        processingItemObj = ProcessingItemObj(processingItem)
        matching_t1 = ADNI_T1_Helper().getMatchingT1(processingItemObj)
        if not matching_t1:
            PipelineLogger.log('root', 'error', 'PET cannot be processed no matching T1 found. - {0} - {1} - {2}.'.format(processingItemObj.subject_rid, processingItemObj.modality, processingItemObj.scan_date))
            return 0

        processed = ADNI_T1_Helper().checkProcessed(matching_t1)
        if not processed:
            PipelineLogger.log('root', 'error', 'PET cannot be processed due to matching T1 not being processed - {0}'.format(matching_t1))
            return 0
        else:
            PipelineLogger.log('root', 'INFO', '+++++++++ PET ready to be processed. Will check for xfm. - {0} - {1}'.format(processingItemObj.subject_rid, processingItemObj.scan_date))
            if processingItemObj.manual_xfm == '':
                manualXFM = self.PETHelper.getManualXFM(processingItemObj, matching_t1)
                processingItemObj.manual_xfm = manualXFM
            elif processingItemObj.manual_xfm == 'Req_man_reg':
                coregDone = self.PETHelper.checkIfAlreadyDone(processingItemObj, matching_t1)
                if coregDone:
                    manualXFM = coregDone
                    setPPTableSQL = "UPDATE {0}_{1}_Pipeline SET MANUAL_XFM = '{2}' WHERE RECORD_ID = {3}".format(processingItemObj.study, processingItemObj.modality, manualXFM, processingItemObj.table_id)
                    self.DBClient.executeNoResult(setPPTableSQL)
                else:
                    self.PETHelper.requestCoreg(processingItemObj, matching_t1)
                    PipelineLogger.log('root', 'INFO', 'Manual XFM was not found. Request to create one may have added.  - {0} - {1}'.format(processingItemObj.subject_rid, processingItemObj.scan_date))
                    return 0
            else:
                manualXFM = processingItemObj.manual_xfm
            if manualXFM:
                self.processPET(processingItemObj, processed)
            else:
                PipelineLogger.log('root', 'INFO', 'Manual XFM was not found. Request to create one may have added.  - {0} - {1}'.format(processingItemObj.subject_rid, processingItemObj.scan_date))
                return 0

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
 def restart_mongo(self):
     try:
         if self.old_pid > 0:
             os.kill(self.old_pid, 9)
         mongo_Cmd = '/data/data03/MongoDB/mongodb/bin/mongod --dbpath /data/data03/MongoDB/data/db/'
         Popen(mongo_Cmd, shell=True)
     except OSError as e:
         PipelineLogger.log('root', 'exception', 'MongoDB cannot be stopped or started.\n {0}\n'.format(e))

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
 def addTODB(result):
     if result['converted']:
         #### Add to correspoing table
         #self.conversionTable.insertFromConvertionObj(convertionObj, self.version)
         self.conversionTable.setConvertedTrue(result['obj'])
     else:
         PipelineLogger.log('manager', 'error', 'File conversion Error : {0} -> {1}. Moving to next...'.format(result['obj'].raw_folder, result['obj'].converted_folder))
         self.conversionTable.setConvertedFailed(result['obj'])

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
 def runNiak(self, processingItemObj):
     # Run Niak
     if not processingItemObj.skip:
         self.niak.process(processingItemObj)
     elif processingItemObj.skip:
         pass
     else:
         PipelineLogger.log('manager', 'error', 'Error handling obj for processing - {0}'.format(processingItemObj))
         return 0

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
    def convert_dicom(self, convertionObj):
        rawFolder = convertionObj.raw_folder
        outFile = '{0}/{1}_{2}{3}{4}{5}_{6}.mnc'.format(convertionObj.converted_folder, convertionObj.study,
                                                        convertionObj.rid, convertionObj.scan_date.replace('-', ''),
                                                        convertionObj.s_identifier, convertionObj.i_identifier,
                                                        convertionObj.scan_type)

        self.createNewFolder(convertionObj.converted_folder) # Create output folder
        tempFolder = convertionObj.converted_folder + '/../temp'  # Generate path for temp folder
        self.createNewFolder(tempFolder)  # Create temp folder

        # Move all the non-dicom stuff out of the original folder into tempFolder
        otherFiles = self.removeOtherFilesInFolder(rawFolder, '.dcm', tempFolder)
        # Run dcm2nii
        cmd = Config.ConverterConfig.dcmToNii_exec + ' -a N -e N -p N -g N -o ' + tempFolder + '/ -v Y ' + rawFolder
        PipelineLogger.log('converter', 'info',
                           'dcm2nii conversion starting for : {0} - {1} - {2} - {3}'.format(convertionObj.study,
                                                                                         convertionObj.rid,
                                                                                         convertionObj.scan_date,
                                                                                         convertionObj.scan_type))
        PipelineLogger.log('converter', 'debug', 'Command : {0}'.format(cmd))
        self.runShellCommand(cmd)
        # Move all the non-dicom stuff back into the original folder
        self.addBackOtherFiles(rawFolder, otherFiles, tempFolder)

        # Run nii2mnc
        fake_command = '{0} {1} {2}/../'.format(Config.ConverterConfig.niiToMnc_exec, rawFolder, convertionObj.converted_folder)
        PipelineLogger.log('converter', 'info',
                           'nii2mnc conversion starting for : {0} - {1} - {2} - {3}'.format(convertionObj.study,
                                                                                         convertionObj.rid,
                                                                                         convertionObj.scan_date,
                                                                                         convertionObj.scan_type))
        PipelineLogger.log('converter', 'debug', 'Command : {0}'.format(fake_command))
        iterator = 1
        for niiFile in glob.glob(tempFolder + '/*.nii'):
            tempOutFile = outFile.replace('.mnc', '_run' + str(iterator) + '.mnc')
            cmd = '%s %s %s' % (Config.ConverterConfig.niiToMnc_exec, niiFile, tempOutFile)
            self.runShellCommand(cmd)
            self.checkMncFile(tempOutFile) # Check whether the fMRI files have a time component/axis
            iterator += 1
        # Delete Temporary Folder
        self.deleteFolder(tempFolder)

        # Check how many mnc files were generated
        mncList = []
        for root, dirnames, filenames in os.walk(convertionObj.converted_folder):
            for filename in fnmatch.filter(filenames, '*.mnc'):
                mncList.append(os.path.join(root, filename))
        if len(mncList) == 0:
            PipelineLogger.log('converter', 'error',
                               'MINC Conversion unsuccessful : Check log for : {0} - {1} - {2} - {3}'.format(
                                   convertionObj.study, convertionObj.rid, convertionObj.scan_date,
                                   convertionObj.scan_type))
            return 0
        else:
            return 1

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
 def removeCommaIfThere(destFolder):
     PipelineLogger.log('manager', 'debug',
                            'Removing unsupported chars from file names...... :')
     for dpath, dnames, fnames in os.walk(destFolder):
         for f in fnames:
             os.chdir(dpath)
             if ',' in f:
                 os.rename(f, f.replace(',', ''))
     PipelineLogger.log('manager', 'debug',
                            'Removing unsupported chars from file names done ...:')

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
 def avgTime(self, inputMNC, outputMNC):
     avgCMD = "/opt/minc-toolkit/bin/mincaverage -short -avgdim time {0} {1}".format(inputMNC, outputMNC)
     p = subprocess.Popen(avgCMD, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
     out, err = p.communicate()
     PipelineLogger.log("converter", "debug", "Averaging Time Output : \n{0}".format(out))
     PipelineLogger.log("converter", "debug", "Averaging Time Err : \n{0}".format(err))
     if os.path.exists(outputMNC):
         return 1
     else:
         return 0

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
    def createNewScanSession(self, down_most_folder, filelist):
        # Return parts of the folder path, the ones of interest
        folder = down_most_folder.replace(self.root_folder, "")
        xmllist = [x for x in filelist if "xml" in x]
        filelist = [x for x in filelist if "xml" not in x]
        if filelist is None:  # If no file in folder, ignore and skip
            return None
        try:
            folder_parts = folder.split("/")  # List containing each parts/folders of the full path
            filename_parts = filelist[0].split("_")  # Takes the first filename and create a list of its parts
            xmlFileS = open("{0}/{1}".format(down_most_folder, xmllist[0])).read()
            xmlDict = xmltodict.parse(xmlFileS)

            rid = xmlDict["metadata"]["subject"]["@id"].split("_")[-1]
            if re.search("[a-zA-Z]", rid) is not None:
                rid = filename_parts[3]
                if re.search("[a-zA-Z]", rid) is not None:
                    PipelineLogger.log(
                        "root",
                        "error",
                        "File recurse error on Folder RID cannot be identified. - {0}, \n Filelist - {1}".format(
                            folder, filelist
                        ),
                    )
                    return None

            s_identifier = xmlDict["metadata"]["series"]["@uid"]
            i_identifier = xmlDict["metadata"]["image"]["@uid"]
            scan_type = self.determineScanType(folder_parts[-3], self.study, rid, s_identifier, i_identifier)
            scan_date = folder_parts[-2].split("_")[0]
            scan_time = folder_parts[-2].split("_", 1)[-1].replace("_", ":")
            file_type = self.determineExtension(filename_parts)
            download_folder = down_most_folder
            raw_folder = "{0}/{1}/{2}/{3}/{4}_{5}_{6}/raw".format(
                sc.studyDatabaseRootDict[self.study], self.study, scan_type, rid, scan_date, s_identifier, i_identifier
            )
        except:
            PipelineLogger.log(
                "root", "exception", "File recurse error on Folder - {0}, \n Filelist - {1}".format(folder, filelist)
            )
            return None

        newScanSession = ScanSession(
            self.study,
            rid,
            scan_type,
            scan_date,
            scan_time,
            s_identifier,
            i_identifier,
            download_folder,
            raw_folder,
            file_type,
        )
        return newScanSession

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
    def findCorrespondingMRI(self, processingItemObj):
		# Find Matching T1
        matching_t1 = ADNI_T1_Fmri_Helper().getMatchingT1(processingItemObj)
        if not matching_t1:
            return 0
			
		# Find out whether T1 has been processed
        processed = ADNI_T1_Fmri_Helper().checkProcessed(matching_t1)
        if not processed:
            PipelineLogger.log('root', 'error', 'FMRI cannot be processed due to matching T1 not being processed.')
            return 0
        else:
            return processed

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
 def convertMinc(self, convertionObj):
     rawFile = '{0}/*.mnc'.format(convertionObj.raw_folder)
     outFile = '{0}/{1}_{2}{3}{4}{5}_{6}.mnc'.format(convertionObj.converted_folder, convertionObj.study,
                                                     convertionObj.rid, convertionObj.scan_date.replace('-', ''),
                                                     convertionObj.s_identifier, convertionObj.i_identifier,
                                                     convertionObj.scan_type)
     # Move files
     cmd = '{0} {1} {2}/../'.format('mv ' + rawFile + ' ' + outFile)
     PipelineLogger.log('converter', 'info',
                        'MINC transfer starting for : {0} - {1} - {2} - {3}'.format(convertionObj.study,
                                                                                      convertionObj.rid,
                                                                                      convertionObj.scan_date,
                                                                                      convertionObj.scan_type))
     PipelineLogger.log('converter', 'debug', 'Command : {0}'.format(cmd))
     self.runShellCommand(cmd)

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
    def checkExternalJobs(self, study, modality):
        getExtJobSql = "SELECT * FROM externalWaitingJobs WHERE JOB_ID LIKE '{0}_{1}_%'".format(study, modality)
        extJobs = self.DBClient.executeAllResults(getExtJobSql)
        for job in extJobs:
            jobType = job[0].split('_')[-1]
            reportTable = job[1]
            tableID = job[0].split('_')[2]
            reportField = job[2]
            subjectScanID = job[0].split('_')[3]
            success = 0
            if jobType == 'CIVETRUN':
                if glob.glob('{0}/{1}_{2}_*'.format(PipelineConfig.T1TempDirForCIVETDownload, study, subjectScanID)):
                    getProccessRecSql = "SELECT * FROM Processing WHERE RECORD_ID IN (SELECT PROCESSING_TID FROM {0}_T1_Pipeline WHERE RECORD_ID = {1})".format(study, tableID)
                    processingEntry = self.DBClient.executeAllResults(getProccessRecSql)[0]

                    civetFolder = '{0}/civet'.format(processingEntry[8])

                    if os.path.exists(civetFolder):
                        shutil.rmtree(civetFolder)
                    try:
                        PipelineLogger.log('manager', 'info', 'Copying - {0} -> {1}'.format(glob.glob('{0}/{1}_{2}_*'.format(PipelineConfig.T1TempDirForCIVETDownload, study, subjectScanID))[0], civetFolder))
                        dir_util.copy_tree(glob.glob('{0}/{1}_{2}_*'.format(PipelineConfig.T1TempDirForCIVETDownload, study, subjectScanID))[0], civetFolder)
                        success = 1
                    except:
                        success = 0
                else:
                    continue
            else:
                PipelineLogger.log('manager', 'error', 'Unknown external job type - {}'.format(jobType))

            if success:
                updateSQL = "UPDATE {0} SET {1} = 1 WHERE RECORD_ID = {2}".format(reportTable, reportField, tableID)
                self.DBClient.executeNoResult(updateSQL)

                if jobType == 'CIVETRUN':
                    finishSQL = "UPDATE {0} SET FINISHED = 1 WHERE RECORD_ID = {1}".format(reportTable, tableID)
                    self.DBClient.executeNoResult(finishSQL)
                    modal_table = reportTable
                    modal_tableId = tableID
                    qcField = 'QC'
                    qctype = 'civet'
                    qcFolder = civetFolder
                    self.QCH.requestQC(study, modal_table, modal_tableId, qcField, qctype, qcFolder)


                rmSql = "DELETE FROM externalWaitingJobs WHERE JOB_ID LIKE '{0}_{1}_{2}_{3}_%'".format(study, modality, tableID, subjectScanID)
                self.DBClient.executeNoResult(rmSql)

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
 def checkProcessed(self, t1Record):
     subject_id = t1Record[2]
     version = t1Record[11]
     s_id = t1Record[6]
     i_id = t1Record[7]
     checkProcessedSQL = "SELECT * FROM Processing WHERE RID = '{0}' AND VERSION = '{1}' AND S_IDENTIFIER = '{2}' AND I_IDENTIFIER = '{3}'".format(subject_id, version, s_id, i_id)
     result = self.DBClient.executeAllResults(checkProcessedSQL)[0]
     if len(result) < 1:
         PipelineLogger.log('root', 'error', 'Matched T1 is not added to the processing table. {0} - {1} - {2}'.format(subject_id, s_id, i_id))
         return False
     else:
         if result[12] == 1 and result[13] == 1:
             return result[8]
         else:
             PipelineLogger.log('root', 'error', 'Matched T1 is not process or QC failed. {0} - {1} - {2}'.format(subject_id, s_id, i_id))
             self.startProcessOFT1(result)
             return False

# 需要导入模块: from Utils.PipelineLogger import PipelineLogger [as 别名]
# 或者: from Utils.PipelineLogger.PipelineLogger import log [as 别名]
    def process(self, processingItemObj):
        try:
            matlabScript, nativeFileName, niakFolder = self.readTemplateFile(processingItemObj)
            PipelineLogger.log('manager', 'info', 'NIAK starting for {0}'.format(nativeFileName))
        except:
            return 0

        # Delete PIPE.lock file, if is exists
        if os.path.isfile("%s/preprocessing/logs/PIPE.lock" % niakFolder):
            os.remove("%s/preprocessing/logs/PIPE.lock" % niakFolder)

        success = self.executeScript(processingItemObj, matlabScript, niakFolder)

        #### After, if Niak succeeded, concatenate all runs together using combiningRuns
        if False:
            if success:
                self.combiningRuns(processingItemObj)
            else:
                PipelineLogger.log()