getMetadata.py

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#!/usr/bin/env python
 
# Copyright (C) 2002-2020 CERN for the benefit of the ATLAS collaboration
from __future__ import print_function
 
__author__ = "Will Buttinger"
__doc__ = """Extract dataset parameters from AMI, and write them to a text file.\nExamples:\n\n\ngetMetadata.py --inDS="mc15_13TeV.361103%DAOD_TRUTH%" --fields=dataset_number,ldn,nfiles,events,crossSection,genFiltEff,generator_name"""
 
import logging
import sys
 
from future import standard_library
standard_library.install_aliases()
import subprocess
 
# Python 2.x/3.x compatibility
if sys.version_info[0] >= 3:
    unicode = str   # strings are unicode in Python3
 
#pinched from pandatools!
def readDsFromFile(txtName):
    import re
    dsList = []
    try:
        # read lines
        txt = open(txtName)
        for tmpLine in txt:
            # remove \n
            tmpLine = re.sub('\n','',tmpLine)
            # remove white spaces
            tmpLine = tmpLine.strip()
            # skip comment or empty
            if tmpLine.startswith('#') or tmpLine == '':
                continue
            # append
            dsList += [tmpLine]
        # close file    
        txt.close()
    except Exception:
        errType,errValue = sys.exc_info()[:2]
        logging.error("cannot read datasets from %s due to %s:%s",txtName,errType,errValue)
        sys.exit(-1)    
    return dsList
 
 
 
def isfloat(x):
    try:
        float(x)
    except ValueError:
        return False
    else:
        return True
 
def isint(x):
    try:
        a = float(x)
        b = int(a)
    except ValueError:
        return False
    else:
        return a == b
 
 
 
 
def main():
    logging.basicConfig(format='%(levelname)s:%(message)s')
 
    import time,datetime
    from pytz import timezone
    import argparse
 
    try:
      import pyAMI.client
      import pyAMI.atlas.api as AtlasAPI
      import pyAMI.config
    except ImportError:
       logging.error("Unable to find pyAMI client. Please try this command first: lsetup pyAMI")
       return -1
 
    
    extraFieldDefaults = {} #{"approx_crossSection":None,"approx_GenFiltEff":1.0}
 
    fieldDefaults = {"subprocessID":0,"dataset_number":0}
    #populate the fieldDefaults ... for all, assume 'None'
    for field in pyAMI.config.tables['datasets'].keys():
        if str(field) == "cross_section": continue #special exception because this field only present in 
        if str(field) in fieldDefaults.keys(): continue
        if str(field).startswith("@"): continue
        fieldDefaults[str(field)] = None
        
 
    #check the voms proxy 
    status,out = subprocess.getstatusoutput("voms-proxy-info -fqan -exists")
    if status!=0:
        logging.error("Please renew your certificate with this command: voms-proxy-init -voms atlas")
        return -1
 
    try:
        client = pyAMI.client.Client('atlas')
        AtlasAPI.init()
    except Exception:
        logging.error("Could not establish pyAMI session. Are you sure you have a valid certificate? Do: voms-proxy-init -voms atlas")
        return -1
 
    #need to collect the ami dataset parameter defaults
    paramExplains = [] #for the help message only
 
    paramUnits = dict()
 
    paramDefaults = {}
 
    res = client.execute('ListPhysicsParameterDefs',format='dom_object')
    for r in res.get_rows() : #r is OrderedDict
        explainString = "%s: %s" % (r[u'PARAMNAME'],r[u'DESCRIPTION'])
        if r[u'UNITS']!=u'NULL': 
            explainString += " (units: %s)" % r[u'UNITS']
            paramUnits[r[u'PARAMNAME']] = r[u'UNITS']
        if r[u'HASDEFAULT']==u'N' : paramDefaults[str(r[u'PARAMNAME'])] = None
        else: 
            explainString += " (default value = %s)" % r[u'DEFAULTVALUE']
            if r[u'PARAMTYPE']==u'number': paramDefaults[str(r[u'PARAMNAME'])] = float(r[u'DEFAULTVALUE']) #FIXME: Assumes all parameters are floats
            elif r[u'PARAMTYPE']==u'string': paramDefaults[str(r[u'PARAMNAME'])] = str(r[u'DEFAULTVALUE'])
        paramExplains += [explainString]
 
    paramDefaults["crossSection_pb"] = None
    paramUnits["crossSection_pb"] = "pb"
    paramExplains += ["crossSection_pb: Same as crossSection except in pb units (units: pb)"]
 
    cern_time = timezone('UCT')
    current_time = datetime.datetime.fromtimestamp(time.time(),cern_time).strftime('%Y-%m-%d %H:%M:%S')
 
    from argparse import RawTextHelpFormatter
    parser = argparse.ArgumentParser(description=__doc__,formatter_class=RawTextHelpFormatter)
    parser.add_argument('--inDS',nargs='+',default=[""],help="List of datasets to retrieve parameters for")
    parser.add_argument('--inDsTxt',default="",help="Alternative to --inDS, can specify the datasets from an input file")
    parser.add_argument('--fields',nargs='+',help="List of parameters to extract. Available parameters are: \n\n  %s\n\nYou can also include any from:\n  %s\nYou can also do keyword_xxx to add a bool branch for keywords" % ("\n  ".join(paramExplains),", ".join(list(fieldDefaults.keys())+list(extraFieldDefaults.keys()))),default=["dataset_number","crossSection","kFactor","genFiltEff"])
    parser.add_argument('--timestamp',default=current_time,help="The timestamp to query parameters at, specified in Universal Central Time (UCT). If left blank, will take the current time")
    parser.add_argument('--physicsGroups',nargs='+',default=["PMG,MCGN"],help="Physics group from which to retrieve parameters, listed in order of priority (highest first). Default value is 'PMG,MCGN' (i.e. try to use PMG values, fallback on MCGN values if unavailable). Allowed groups are:\n   PMG (this is the PMG's group name), BPHY, COSM, DAPR, EGAM, EXOT, FTAG, HIGG, HION, IDET, IDTR, JETM, LARG, MCGN (this is the AMI default group name), MDET, MUON, PHYS, REPR, SIMU, STDM, SUSY, TAUP, TCAL, TDAQ, THLT, TOPQ, TRIG, UPGR, VALI")
 
    parser.add_argument('--oldTimestamp',default="",help="If specified, will instead display a diff between the old and new timestamp, showing explanation of any changed parameters")
 
    parser.add_argument('--explainFields',nargs='+',default=[],help="The fields you would like explained .. will appear as comment lines after each row in the output")
    parser.add_argument('--explainInfo',nargs='+',default=[],help="Properties of the parameter you want to show in the explanation. Can list from: explanation, insert_time, physicsGroup, createdby")
    parser.add_argument('--outFile',default=sys.stdout,type=argparse.FileType('w'),help="Where to print the output to. Leave blank to print to stdout")
    parser.add_argument('--delim',default="",help="The delimiter character. Defaults to spaces leading to nice formatting table")
    parser.add_argument('-v',action='store_true',help="Verbose output for debugging")
 
    args = parser.parse_args()
 
    if args.v: logging.getLogger().setLevel(logging.DEBUG)
    else: logging.getLogger().setLevel(logging.INFO)
    logging.debug(args.inDS)
    logging.debug(args.fields)
    logging.debug(args.timestamp)
 
    if args.timestamp=="the dawn of time": 
        logging.error("Unfortunately we don't know any parameters from this time period... but we're working on it!")
        return 9999
 
    #split elements of fields by comma to get full list 
    args.fields = sum((y.split(',') for y in args.fields),[])
    args.fields = [x.strip() for x in args.fields] #strips whitespace
    #look for keyword_ fields, these are special ...
    args.keywords=[]
    for f in args.fields:
        if f.startswith("keyword_"):
            k = f[8:]
            #and then add each keyword to the extraFieldDefaults so it is recognised thusly 
            extraFieldDefaults["keyword_%s"%k]=bool(False)
            args.keywords += [k]
 
    #same for physics groups
    args.physicsGroups = sum((y.split(',') for y in args.physicsGroups),[])
    args.physicsGroups = [x.strip() for x in args.physicsGroups] #strips whitespace
 
 
    #same for explainFields and explainInfo
    args.explainFields = sum((y.split(',') for y in args.explainFields),[])
    args.explainFields = [x.strip() for x in args.explainFields] #strips whitespace
    args.explainInfo = sum((y.split(',') for y in args.explainInfo),[])
    args.explainInfo = [x.strip() for x in args.explainInfo] #strips whitespace
 
    if args.inDsTxt != '': args.inDS = readDsFromFile(args.inDsTxt)
    
    #and same for inDS
    args.inDS = sum((y.split(',') for y in args.inDS),[])
    args.inDS = [x.strip() for x in args.inDS] #strips whitespace
 
 
 
  
    
    #1. check field values are allowed, we obtain default field values at same time..
    #2. For each entry in inDS, if contains wildcard we obtain list of DS, otherwise check DS exists. During this time we obtain the datasetid and numEvents properties, incase we need them
    #3.  For each of these DS, get parameters from ami matching the timestamp. Organize into fields and index by subprocessID
    #4.  Output a line to our output file
 
 
 
 
    #1.
    #before adding all the ami parameters, identify which of provided fields are: 1). Obtained from list_datasets command (dsFields) 2). actual parameters
    dsFields = [ x for x in args.fields if x in fieldDefaults.keys() and x not in ["subprocessID","ldn"] ]
    extraFields = [ x for x in args.fields if x in extraFieldDefaults.keys() ]
    paramFields = [ x for x in args.fields if x in paramDefaults.keys() ]
 
    if len(paramFields)>0 and args.physicsGroups==[""]:
        logging.error("You must specify at least one physics group. See -h for allowed groups")
        return -1
 
    #combine paramDefaults with fieldDefaults
    fieldDefaults.update(paramDefaults)
    #and with extra fields
    fieldDefaults.update(extraFieldDefaults)
    
    for field in args.fields:
        if field not in fieldDefaults:
            logging.error("%s is not a recognised field. Allowed fields are:", field)
            logging.error(fieldDefaults.keys())
            return -1
        
 
    if args.oldTimestamp!="":
        logging.info("oldTimestamp option specified. Running in diff mode...")
        args.explainFields = args.fields
        args.explainInfo = ["explanation","insert_time","physicsGroup","createdby"]
 
    #2.
    #replace all '*' with '%' and strip "/"
    args.inDS = [ds.replace("*","%") for ds in args.inDS]
    args.inDS = [ds.rstrip("/") for ds in args.inDS]
  
    if len(args.inDS)==0 or (len(args.inDS)==1 and args.inDS[0]==""):
        logging.error("No datasets provided. Please specify datasets with the --inDS or --inDsTxt options")
        return -1
 
    logging.info("Fetching list of datasets from AMI (this may take a few minutes)...")
 
 
    #obtain list of datasets 
    res = AtlasAPI.list_datasets(client,patterns=args.inDS,fields=dsFields+['ldn'],ami_status="VALID") #changed status from %, to only catch valid now: wb 08/2015
 
    logging.info("...Found %d datasets matching your selection", len(res))
 
    if len(res)==0:
        return 0
    
    #NOTE: Should we allow retrieval of the extra information: keyword, genfiltereff, approx crossection, .. these all come from GetDatasetInfo ami command
 
    dataset_values = dict()
    for r in res:
        mydict = dict()
        dataset_values[str(r['ldn'])] = mydict
        for field in r.items():
            if str(field[0]) == "ldn": continue
            if str(field[0]) not in args.fields: continue
            mydict[str(field[0])] = str(field[1])
        #also if we have the 'extra fields or keywords' we will need to execute AtlasAPI.get_dataset_info ..
        if len(extraFields)>0 or len(args.keywords)>0:
            info_res = AtlasAPI.get_dataset_info(client,str(r['ldn']))
            #print(info_res)
            if len(info_res)==0:
                logging.error("Unable to retrieve dataset info for %s", r['ldn'])
                return -1
            for field in extraFields:
                #ignore the keyword_ fields 
                if field.startswith("keyword_"): continue
                mydict[field] = float(info_res[0][unicode(field)]) if isfloat(info_res[0][unicode(field)]) else extraFieldDefaults[field]
            for k in args.keywords:
                mydict["keyword_%s" % k] = int( (k in str(info_res[0][unicode('keyword')]).split(",")) )
            
    #sort dataset_values as well as possible
    from collections import OrderedDict
    sorted_values = OrderedDict()
    for ds in args.inDS:
        if ds in dataset_values.keys():
            sorted_values[ds] = dataset_values[ds]
 
    for ds in dataset_values.keys():
        if ds not in sorted_values.keys():
            sorted_values[ds] = dataset_values[ds]
    dataset_values = sorted_values
 
    logging.debug(dataset_values)
 
    #res = client.execute(['GetDatasetInfo
 
    for ds in args.inDS:
        if '%' not in ds and ds not in dataset_values.keys():
            logging.warning("Unknown dataset: %s", ds)
 
    datasetsToQuery = ",".join(dataset_values.keys())
 
    #if using inDsTxt, retain any comment or blank lines in structure of output
    complete_values = OrderedDict()
    if args.inDsTxt != "":
        # read lines
        commentcount=0
        import re
        txt = open(args.inDsTxt)
        for tmpLine in txt:
            # remove \n
            tmpLine = re.sub('\n','',tmpLine)
            # remove white spaces
            tmpLine = tmpLine.strip()
            # skip comment or empty
            if tmpLine.startswith('#') or tmpLine == '':
                complete_values['comment%d'%(commentcount)] = tmpLine
                commentcount = commentcount+1
                continue
            # append
            tmpLine = tmpLine.rstrip("/")
            if tmpLine in dataset_values.keys():
                complete_values[tmpLine] = dataset_values[tmpLine]
            else:
                print("cannot find %s" % tmpLine)
        # close file    
        txt.close()
        dataset_values = complete_values
 
    logging.info("Obtaining %s for selected datasets at timestamp=%s... (please be patient)",
                 args.fields, args.timestamp)
 
    #do as one query, to be efficient
    if(args.timestamp==current_time):
        res = client.execute(['GetPhysicsParamsForDataset',"--logicalDatasetName=%s"% datasetsToQuery,"--timestamp='%s'"%args.timestamp], format='dom_object')
    else:
        res = client.execute(['GetPhysicsParamsForDataset',"--logicalDatasetName=%s"% datasetsToQuery,"--timestamp='%s'"%args.timestamp,"--history=true"], format='dom_object')
 
    #organize results by dataset
    parameterQueryResults = dict()
    for r in res.get_rows():
        if r[u'logicalDatasetName'] not in parameterQueryResults.keys():
            parameterQueryResults[r[u'logicalDatasetName']] = []
        parameterQueryResults[r[u'logicalDatasetName']] += [r] #puts row in the list for this dataset
 
 
    if args.oldTimestamp!="" :
        logging.info("Obtaining %s for selected datasets at timestamp=%s... (please be patient)",
                     args.fields,args.oldTimestamp)
        res2 = client.execute(['GetPhysicsParamsForDataset',"--logicalDatasetName=%s"% datasetsToQuery,"--timestamp='%s'"%args.oldTimestamp,"--history=true"], format='dom_object')
        old_parameterQueryResults = dict()
        for r in res2.get_rows():
            if r[u'logicalDatasetName'] not in old_parameterQueryResults.keys():
                old_parameterQueryResults[r[u'logicalDatasetName']] = []
            old_parameterQueryResults[r[u'logicalDatasetName']] += [r] #puts row in the list for this dataset
 
    headerString = ""
    doneHeader=False
    commentCache = ""
    commentCount = 0
 
    #result is a list of lists (each list is 1 row)
    outputTable = []
    tableHeaders = []
 
    for ds in dataset_values.keys():
        if ds.startswith('comment'):
            if commentCount > 0 : commentCache += "\n"
            commentCache += dataset_values[ds]
            commentCount=commentCount+1
            continue
        #obtain list of parameters for this dataset
        #if(args.timestamp==current_time):
        #    res = client.execute(['GetPhysicsParamsForDataset',"--logicalDatasetName=%s"% ds,"--timestamp='%s'"%args.timestamp], format='dom_object')
        #else:
        #     res = client.execute(['GetPhysicsParamsForDataset',"--logicalDatasetName=%s"% ds,"--timestamp='%s'"%args.timestamp,"--history=true"], format='dom_object')
        res = parameterQueryResults.get(ds,[])
        if args.oldTimestamp!="": res2 = old_parameterQueryResults.get(ds,[])
 
        #first we have to determine how many subprocesses this ds has 
        dsSubprocesses = [0] #always have the 0 subprocess 
        for r in res:
            sp = int(r[u'subprocessID'])
            if sp not in dsSubprocesses: dsSubprocesses += [sp]
 
        #now for each subprocess we have to locate each required field value (in paramFields)
        #rank by physicsGroup
        for sp in dsSubprocesses:
            paramVals = dict()
            paramVals2 = dict()
            groupsWithVals = dict() #held for helpful output
            #need to keep explanations for requested fields
            explainInfo = dict()
            for i in args.explainFields: explainInfo[i] = dict()
 
            for param in paramFields:
                groupsWithVals[param] = []
                bestGroupIndex = len(args.physicsGroups)
                import copy
                paramVals[param] = copy.copy(fieldDefaults[param])
                for r in res:
                    if int(r[u'subprocessID']) != sp: continue
                    if str(r[u'paramName']) != param and not (param=="crossSection_pb" and str(r[u'paramName'])=="crossSection"): continue
                    if str(r[u'physicsGroup']) not in args.physicsGroups: 
                        groupsWithVals[param] += [(str(r[u'physicsGroup']),str(r[u'paramValue']))]
                        continue
                    if args.physicsGroups.index(str(r[u'physicsGroup'])) > bestGroupIndex : continue
                    if args.physicsGroups.index(str(r[u'physicsGroup'])) == bestGroupIndex : logging.warning("Duplicate parameter %s for group %s in dataset %s (subprocess %d). Please report this!", param, r[u'physicsGroup'], ds, sp)
                    paramVals[param] = str(r[u'paramValue'])
                    if param=="crossSection_pb": paramVals[param] = str(float(paramVals[param])*1000.0)
                    bestGroupIndex=args.physicsGroups.index(str(r[u'physicsGroup']))
                    #keep the explanation info 
                    for e in args.explainInfo: 
                        if unicode(e) not in r:
                            logging.error("Unrecognised explainInfo field: %s", e)
                            return -1
                        explainInfo[param][e]=str(r[unicode(e)])
                if args.oldTimestamp!="":
                    bestGroupIndex = len(args.physicsGroups)
                    paramVals2[param] = copy.copy(fieldDefaults[param])
                    for r in res2:
                        if int(r[u'subprocessID']) != sp: continue
                        if str(r[u'paramName']) != param  and not (param=="crossSection_pb" and str(r[u'paramName'])=="crossSection"): continue
                        if str(r[u'physicsGroup']) not in args.physicsGroups: continue
                        if args.physicsGroups.index(str(r[u'physicsGroup'])) > bestGroupIndex : continue
                        if args.physicsGroups.index(str(r[u'physicsGroup'])) == bestGroupIndex : logging.warning("Duplicate parameter %s for group %s in dataset %s (subprocess %d). Please report this!", param, r[u'physicsGroup'], ds, sp)
                        paramVals2[param] = str(r[u'paramValue'])
                        if param=="crossSection_pb": paramVals2[param] = str(float(paramVals2[param])*1000.0)
                        bestGroupIndex=args.physicsGroups.index(str(r[u'physicsGroup']))
            #at this stage, parameters reside in paramVals dict or dataset_values[ds] dict
            #print them in the requested order .. if any is "None" then stop, because it doesn't have a default value and didn't find a value for it either 
            rowString = ""
            rowList = []
            firstPrint=False
            for param in args.fields:
                val = None
                if param == "ldn": val = ds
                elif param == "subprocessID": val = sp
                elif param in dataset_values[ds].keys(): val = dataset_values[ds][param]
                else: val = paramVals.get(param,None)
                if val is None:
                    if args.outFile != sys.stdout: logging.warning("dataset %s (subprocess %d) does not have parameter %s, which has no default.",ds,sp,param)
                    if len(groupsWithVals.get(param,[]))>0:
                        logging.warning("The follow physicsGroups have defined that parameter though:")
                        logging.warning(groupsWithVals[param])
                    val = "#UNKNOWN#"
                    #return -1
                #if isfloat(str(val)): val = "%.6g" % float(val)
                if args.oldTimestamp!="":
                    #diff val to old val
                    val2 = None
                    if param == "ldn": val2 = ds
                    elif param == "subprocessID": val2 = sp
                    elif param in dataset_values[ds].keys(): val2 = dataset_values[ds][param]
                    else: val2 = paramVals2.get(param,None)
                    if val2 is None: val2 = "#UNKNOWN#"
                    #if isfloat(str(val2)): val2 = "%.6g" % float(val)
                    if(str(val)!=str(val2)):
                        if not firstPrint: print("%s:" % ds)
                        firstPrint=True
                        print("  %s : %s  --->  %s" % (param,str(val2),str(val)))
                        print("        insert_time  : %s" % explainInfo[param]['insert_time'])
                        print("        explanation  : %s" % explainInfo[param]['explanation'])
                        print("        createdby    : %s" % explainInfo[param]['createdby'])
                        print("        physicsGroup : %s" % explainInfo[param]['physicsGroup'])
                    continue
                                                                  
                rowList += [str(val)]
                if rowString != "" and args.delim!="": rowString += args.delim
                rowString += str(val)
                #inspect the type of str(val) to build up the header
                if not doneHeader:
                    headerString += param
                    if args.outFile != sys.stdout:
                        if type(fieldDefaults[param])==bool: headerString += "/O:"
                        elif type(fieldDefaults[param])==int: headerString += "/I:"
                        elif type(fieldDefaults[param])==float: headerString += "/D:"
                        elif isfloat(str(val)): headerString += "/D:"
                        #elif isint(str(val)): headerString += "/I:" TO BE SAFE WE MAKE ALL NUMERIC FIELDS FLOATS, EXCEPT if the default value is type int
                        else: headerString += "/C:"
                    else:
                        v = param
                        if param in paramUnits: 
                            headerString += " [%s]" % paramUnits[param]
                            v += " [%s]" % paramUnits[param]
                        tableHeaders += [v]
                        headerString += "  "
            if args.oldTimestamp!="": continue #print nothing more for diff mode
            if not doneHeader:
                doneHeader=True
                if args.outFile!=sys.stdout: print(headerString[:-1],file=args.outFile)
            if commentCount > 0:
                if args.outFile!=sys.stdout and args.delim!="": print(commentCache,file=args.outFile)
                outputTable += [["COMMENT",commentCache]]
                commentCache = ''
                commentCount = 0
            if args.outFile != sys.stdout and args.delim!="": print(rowString,file=args.outFile)
            outputTable += [rowList]
            #also print the required explanations
            for (field,expl) in explainInfo.items():
                outString = "#%s: { " % field
                doneFirst=False
                for eField in args.explainInfo:
                    if doneFirst: outString += " , "
                    if eField not in expl.keys(): outString += " %s: <NONE .. value is default>"%eField
                    else: outString += "%s: %s" % (eField,expl[eField])
                    doneFirst=True
                outString += " }"
                print(outString,file=args.outFile)
 
    if args.oldTimestamp!="":
        args.outFile.close()
        return 0
 
    #print the table in nicely formatted state
    if args.outFile == sys.stdout or args.delim=="":
        #determine column widths
        columnWidths = [0]*len(args.fields)
        for i in range(0,len(tableHeaders)):
            columnWidths[i] = len(tableHeaders[i])
        for r in outputTable:
            if len(r)>0 and r[0]=="COMMENT": continue
            for i in range(0,len(r)): 
                if len(r[i])>columnWidths[i]: columnWidths[i]=len(r[i])
        lineout = ""
        for i in range(0,len(tableHeaders)):
            lineout += tableHeaders[i].ljust(columnWidths[i]) + "  "
        print(lineout)
        for r in outputTable:
            lineout = ""
            if len(r)>0 and r[0]=="COMMENT": lineout = r[1]
            else:
                for i in range(0,len(r)):
                    lineout += r[i].ljust(columnWidths[i]) + "  "
            print(lineout,file=args.outFile)
 
    #print the footer, which is the command to reproduce this output
    import os
    if args.outFile != sys.stdout:
        #remove comment from dataset_values
        datasetss = [x for x in dataset_values.keys() if not x.startswith("comment")]
        
        print("",file=args.outFile)
        print("#lsetup  \"asetup %s,%s\" pyAMI" % (os.environ.get('AtlasProject','UNKNOWN!'),os.environ.get('AtlasVersion','UNKNOWN!')),file=args.outFile)
        print("#getMetadata.py --timestamp=\"%s\" --physicsGroups=\"%s\" --fields=\"%s\" --inDS=\"%s\"" % (args.timestamp,",".join(args.physicsGroups),",".join(args.fields),",".join(datasetss)),file=args.outFile )
        logging.info("Results written to: %s", args.outFile.name)
 
    args.outFile.close()
 
 
if __name__ == "__main__":
    sys.exit(main())