mps_alisetup.py

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#!/usr/bin/env python

#############################################################################
##  Builds the config-templates from the universal config-template for each
##  dataset specified in .ini-file that is passed to this script as argument.
##  Then calls mps_setup.pl for all datasets.


import argparse
import os
import re
import subprocess
import ConfigParser
import sys
import cPickle
import itertools
import collections
import Alignment.MillePedeAlignmentAlgorithm.mpslib.Mpslibclass as mpslib
import Alignment.MillePedeAlignmentAlgorithm.mpslib.tools as mps_tools
import Alignment.MillePedeAlignmentAlgorithm.mpsvalidate.iniparser as mpsv_iniparser
import Alignment.MillePedeAlignmentAlgorithm.mpsvalidate.trackerTree as mpsv_trackerTree
from Alignment.MillePedeAlignmentAlgorithm.alignmentsetup.helper import checked_out_MPS
from functools import reduce


def handle_process_call(command, verbose = False):
    """
    Wrapper around subprocess calls which treats output depending on verbosity
    level.

    Arguments:
    - `command`: list of command items
    - `verbose`: flag to turn on verbosity
    """

    call_method = subprocess.check_call if verbose else subprocess.check_output
    try:
        call_method(command, stderr=subprocess.STDOUT)
    except subprocess.CalledProcessError as e:
        print "" if verbose else e.output
        print "Failed to execute command:", " ".join(command)
        sys.exit(1)


def get_weight_configs(config):
    """Extracts different weight configurations from `config`.

    Arguments:
    - `config`: ConfigParser object containing the alignment configuration
    """

    weight_dict = collections.OrderedDict()
    common_weights = {}

    # loop over datasets to reassign weights
    for section in config.sections():
        if 'general' in section:
            continue
        elif section == "weights":
            for option in config.options(section):
                common_weights[option] = [x.strip() for x in
                                          config.get(section, option).split(",")]
        elif section.startswith("dataset:"):
            name = section[8:]  # get name of dataset by stripping of "dataset:"
            if config.has_option(section,'weight'):
                weight_dict[name] = [x.strip() for x in
                                     config.get(section, "weight").split(",")]
            else:
                weight_dict[name] = ['1.0']

    weights_list = [[(name, weight) for weight in  weight_dict[name]]
                    for name in weight_dict]

    common_weights_list = [[(name, weight) for weight in  common_weights[name]]
                           for name in common_weights]
    common_weights_dicts = []
    for item in itertools.product(*common_weights_list):
        d = {}
        for name,weight in item:
            d[name] = weight
        common_weights_dicts.append(d)

    configs = []
    for weight_conf in itertools.product(*weights_list):
        if len(common_weights) > 0:
            for common_weight in common_weights_dicts:
                configs.append([(dataset[0],
                                 reduce(lambda x,y: x.replace(y, common_weight[y]),
                                        common_weight, dataset[1]))
                                for dataset in weight_conf])
        else:
            configs.append(weight_conf)

    return configs


def create_input_db(cms_process, run_number):
    """
    Create sqlite file with single-IOV tags and use it to override the GT. If
    the GT is already customized by the user, the customization has higher
    priority. Returns a snippet to be appended to the configuration file

    Arguments:
    - `cms_process`: cms.Process object
    - `run_number`: run from which to extract the alignment payloads
    """

    run_number = int(run_number)
    if not run_number > 0:
        print "'FirstRunForStartGeometry' must be positive, but is", run_number
        sys.exit(1)

    input_db_name = os.path.abspath("alignment_input.db")
    tags = mps_tools.create_single_iov_db(
        check_iov_definition(cms_process, run_number),
        run_number, input_db_name)

    result = ""
    for record,tag in tags.iteritems():
        if result == "":
            result += ("\nimport "
                       "Alignment.MillePedeAlignmentAlgorithm.alignmentsetup."
                       "SetCondition as tagwriter\n")
        result += ("\ntagwriter.setCondition(process,\n"
                   "       connect = \""+tag["connect"]+"\",\n"
                   "       record = \""+record+"\",\n"
                   "       tag = \""+tag["tag"]+"\")\n")

    return result


def check_iov_definition(cms_process, first_run):
    """
    Check consistency of input alignment payloads and IOV definition.
    Returns a dictionary with the information needed to override possibly
    problematic input taken from the global tag.

    Arguments:
    - `cms_process`: cms.Process object containing the CMSSW configuration
    - `first_run`: first run for start geometry
    """

    print "Checking consistency of IOV definition..."
    iovs = mps_tools.make_unique_runranges(cms_process.AlignmentProducer)

    inputs = {
        "TrackerAlignmentRcd": None,
        "TrackerSurfaceDeformationRcd": None,
        "TrackerAlignmentErrorExtendedRcd": None,
    }

    for condition in cms_process.GlobalTag.toGet.value():
        if condition.record.value() in inputs:
            inputs[condition.record.value()] = {
                "tag": condition.tag.value(),
                "connect": ("pro"
                            if not condition.hasParameter("connect")
                            else condition.connect.value())
            }

    inputs_from_gt = [record for record in inputs if inputs[record] is None]
    inputs.update(mps_tools.get_tags(cms_process.GlobalTag.globaltag.value(),
                                     inputs_from_gt))


    if first_run != iovs[0]:     # simple consistency check
        if iovs[0] == 1 and len(iovs) == 1:
            print "Single IOV output detected in configuration and",
            print "'FirstRunForStartGeometry' is not 1."
            print "Creating single IOV output from input conditions in run",
            print str(first_run)+"."
            for inp in inputs: inputs[inp]["problematic"] = True
        else:
            print "Value of 'FirstRunForStartGeometry' has to match first",
            print "defined output IOV:",
            print first_run, "!=", iovs[0]
            sys.exit(1)


    for inp in inputs.itervalues():
        inp["iovs"] = mps_tools.get_iovs(inp["connect"], inp["tag"])

    # check consistency of input with output
    problematic_gt_inputs = {}
    input_indices = {key: len(value["iovs"]) -1
                     for key,value in inputs.iteritems()}
    for iov in reversed(iovs):
        for inp in inputs:
            if inputs[inp].pop("problematic", False):
                problematic_gt_inputs[inp] = inputs[inp]
            if inp in problematic_gt_inputs: continue
            if input_indices[inp] < 0:
                print "First output IOV boundary at run", iov,
                print "is before the first input IOV boundary at",
                print inputs[inp]["iovs"][0], "for '"+inp+"'."
                print "Please check your run range selection."
                sys.exit(1)
            input_iov = inputs[inp]["iovs"][input_indices[inp]]
            if iov < input_iov:
                if inp in inputs_from_gt:
                    problematic_gt_inputs[inp] = inputs[inp]
                    print "Found problematic input taken from global tag."
                    print "Input IOV boundary at run",input_iov,
                    print "for '"+inp+"' is within output IOV starting with",
                    print "run", str(iov)+"."
                    print "Deriving an alignment with coarse IOV granularity",
                    print "starting from finer granularity leads to wrong",
                    print "results."
                    print "A single IOV input using the IOV of",
                    print "'FirstRunForStartGeometry' ("+str(first_run)+") is",
                    print "automatically created and used."
                    continue
                print "Found input IOV boundary at run",input_iov,
                print "for '"+inp+"' which is within output IOV starting with",
                print "run", str(iov)+"."
                print "Deriving an alignment with coarse IOV granularity",
                print "starting from finer granularity leads to wrong results."
                print "Please check your run range selection."
                sys.exit(1)
            elif iov == input_iov:
                input_indices[inp] -= 1

    # check consistency of 'TrackerAlignmentRcd' with other inputs
    input_indices = {key: len(value["iovs"]) -1
                     for key,value in inputs.iteritems()
                     if (key != "TrackerAlignmentRcd")
                     and (inp not in problematic_gt_inputs)}
    for iov in reversed(inputs["TrackerAlignmentRcd"]["iovs"]):
        for inp in input_indices:
            input_iov = inputs[inp]["iovs"][input_indices[inp]]
            if iov < input_iov:
                print "Found input IOV boundary at run",input_iov,
                print "for '"+inp+"' which is within 'TrackerAlignmentRcd'",
                print "IOV starting with run", str(iov)+"."
                print "Deriving an alignment with inconsistent IOV boundaries",
                print "leads to wrong results."
                print "Please check your input IOVs."
                sys.exit(1)
            elif iov == input_iov:
                input_indices[inp] -= 1

    print "IOV consistency check successful."
    print "-"*60

    return problematic_gt_inputs


def create_mass_storage_directory(mps_dir_name, general_options):
    """Create MPS mass storage directory where, e.g., mille binaries are stored.

    Arguments:
    - `mps_dir_name`: campaign name
    - `general_options`: general options dictionary
    """

    # set directory on eos
    mss_dir = general_options.get("massStorageDir",
                                  "/store/caf/user/"+os.environ["USER"])
    mss_dir = os.path.join(mss_dir, "MPproduction", mps_dir_name)

    cmd = ["/afs/cern.ch/project/eos/installation/cms/bin/eos.select",
           "mkdir", "-p", mss_dir]

    # create directory
    if not general_options.get("testMode", False):
        try:
            with open(os.devnull, "w") as dump:
                subprocess.check_call(cmd, stdout = dump, stderr = dump)
        except subprocess.CalledProcessError:
            print "Failed to create mass storage directory:", mss_dir
            sys.exit(1)

    return mss_dir


def create_tracker_tree(global_tag, first_run):
    """Method to create hidden 'TrackerTree.root'.

    Arguments:
    - `global_tag`: global tag from which the tracker geometry is taken
    - `first_run`: run to specify IOV within `global_tag`
    """

    config = mpsv_iniparser.ConfigData()
    config.jobDataPath = "."    # current directory
    config.globalTag = global_tag
    config.firstRun = first_run
    return mpsv_trackerTree.check(config)

# ------------------------------------------------------------------------------
# set up argument parser and config parser

helpEpilog ='''Builds the config-templates from a universal config-template for each
dataset specified in .ini-file that is passed to this script.
Then calls mps_setup.pl for all datasets.'''
parser = argparse.ArgumentParser(
        description='Setup the alignment as configured in the alignment_config file.',
        epilog=helpEpilog)
# optional argmuent: verbose (toggles output of mps_setup)
parser.add_argument('-v', '--verbose', action='store_true',
                    help='display detailed output of mps_setup')
# optional argmuent: weight (new weights for additional merge job)
parser.add_argument('-w', '--weight', action='store_true',
                    help='create an additional mergejob with (possibly new) weights from .ini-config')
# positional argument: config file
parser.add_argument('alignmentConfig', action='store',
                    help='name of the .ini config file that specifies the datasets to be used')
# parse argument
args = parser.parse_args()
aligmentConfig = args.alignmentConfig

# parse config file
config = ConfigParser.ConfigParser()
config.optionxform = str    # default would give lowercase options -> not wanted
config.read(aligmentConfig)



#------------------------------------------------------------------------------
# construct directories

# set variables that are not too specific (millescript, pedescript, etc.)
mpsTemplates = os.path.join("src", "Alignment", "MillePedeAlignmentAlgorithm", "templates")
if checked_out_MPS()[0]:
    mpsTemplates = os.path.join(os.environ["CMSSW_BASE"], mpsTemplates)
else:
    mpsTemplates = os.path.join(os.environ["CMSSW_RELEASE_BASE"], mpsTemplates)
milleScript = os.path.join(mpsTemplates, "mps_runMille_template.sh")
pedeScript  = os.path.join(mpsTemplates, "mps_runPede_rfcp_template.sh")

# get working directory name
currentDir = os.getcwd()
mpsdirname = ''
match = re.search(re.compile('mpproduction\/mp(.+?)$', re.M|re.I),currentDir)
if match:
    mpsdirname = 'mp'+match.group(1)
else:
    print "Current location does not seem to be a MillePede campaign directory:",
    print currentDir
    sys.exit(1)



#------------------------------------------------------------------------------
# read general-section
generalOptions = {}

# essential variables
for var in ["classInf","pedeMem","jobname", "FirstRunForStartGeometry"]:
    try:
        generalOptions[var] = config.get('general',var)
    except ConfigParser.NoOptionError:
        print "No", var, "found in [general] section. Please check ini-file."
        sys.exit(1)

# check if datasetdir is given
generalOptions['datasetdir'] = ''
if config.has_option('general','datasetdir'):
    generalOptions['datasetdir'] = config.get('general','datasetdir')
    # add it to environment for later variable expansion:
    os.environ["datasetdir"] = generalOptions['datasetdir']
else:
    print "No datasetdir given in [general] section.",
    print "Be sure to give a full path in inputFileList."

# check for default options
for var in ("globaltag", "configTemplate", "json", "massStorageDir", "testMode"):
    try:
        generalOptions[var] = config.get('general',var)
    except ConfigParser.NoOptionError:
        if var == "testMode": continue
        print "No '" + var + "' given in [general] section."

# create mass storage directory
mssDir = create_mass_storage_directory(mpsdirname, generalOptions)


pedesettings = ([x.strip() for x in config.get("general", "pedesettings").split(",")]
                if config.has_option("general", "pedesettings") else [None])

weight_confs = get_weight_configs(config)


#------------------------------------------------------------------------------
# -w option: Get new weights from .ini and create additional mergejob with these
if args.weight:

    # do some basic checks
    if not os.path.isdir("jobData"):
        print "No jobData-folder found. Properly set up the alignment before using the -w option."
        sys.exit(1)
    if not os.path.exists("mps.db"):
        print "No mps.db found. Properly set up the alignment before using the -w option."
        sys.exit(1)

    # check if default configTemplate is given
    try:
        configTemplate = config.get('general','configTemplate')
    except ConfigParser.NoOptionError:
        print 'No default configTemplate given in [general] section.'
        print 'When using -w, a default configTemplate is needed to build a merge-config.'
        sys.exit(1)

    # check if default globaltag is given
    try:
        globalTag = config.get('general','globaltag')
    except ConfigParser.NoOptionError:
        print "No default 'globaltag' given in [general] section."
        print "When using -w, a default configTemplate is needed to build a merge-config."
        sys.exit(1)

    try:
        first_run = config.get("general", "FirstRunForStartGeometry")
    except ConfigParser.NoOptionError:
        print "Missing mandatory option 'FirstRunForStartGeometry' in [general] section."
        sys.exit(1)

    for section in config.sections():
        if section.startswith("dataset:"):
            try:
                collection = config.get(section, "collection")
                break
            except ConfigParser.NoOptionError:
                print "Missing mandatory option 'collection' in section ["+section+"]."
                sys.exit(1)

    try:
        with open(configTemplate,"r") as f:
            tmpFile = f.read()
    except IOError:
        print "The config-template '"+configTemplate+"' cannot be found."
        sys.exit(1)

    tmpFile = re.sub('setupGlobaltag\s*\=\s*[\"\'](.*?)[\"\']',
                     'setupGlobaltag = \"'+globalTag+'\"',
                     tmpFile)
    tmpFile = re.sub('setupCollection\s*\=\s*[\"\'](.*?)[\"\']',
                     'setupCollection = \"'+collection+'\"',
                     tmpFile)
    tmpFile = re.sub(re.compile("setupRunStartGeometry\s*\=\s*.*$", re.M),
                     "setupRunStartGeometry = "+first_run,
                     tmpFile)

    thisCfgTemplate = "tmp.py"
    with open(thisCfgTemplate, "w") as f: f.write(tmpFile)

    cms_process = mps_tools.get_process_object(thisCfgTemplate)

    overrideGT = create_input_db(cms_process, first_run)
    with open(thisCfgTemplate, "a") as f: f.write(overrideGT)

    for setting in pedesettings:
        print
        print "="*60
        if setting is None:
            print "Creating pede job."
        else:
            print "Creating pede jobs using settings from '{0}'.".format(setting)
        for weight_conf in weight_confs:
            print "-"*60
            # blank weights
            handle_process_call(["mps_weight.pl", "-c"])

            for name,weight in weight_conf:
                handle_process_call(["mps_weight.pl", "-N", name, weight], True)

            # create new mergejob
            handle_process_call(["mps_setupm.pl"], True)

            # read mps.db to find directory of new mergejob
            lib = mpslib.jobdatabase()
            lib.read_db()

            # short cut for jobm path
            jobm_path = os.path.join("jobData", lib.JOBDIR[-1])

            # delete old merge-config
            command = [
                "rm", "-f",
                os.path.join(jobm_path, "alignment_merge.py")]
            handle_process_call(command, args.verbose)

            # create new merge-config
            command = [
                "mps_merge.py",
                "-w", thisCfgTemplate,
                os.path.join(jobm_path, "alignment_merge.py"),
                jobm_path,
                str(lib.nJobs),
            ]
            if setting is not None: command.extend(["-a", setting])
            print " ".join(command)
            handle_process_call(command, args.verbose)
            create_tracker_tree(globalTag, first_run)

            # store weights configuration
            with open(os.path.join(jobm_path, ".weights.pkl"), "wb") as f:
                cPickle.dump(weight_conf, f, 2)


    # remove temporary file
    handle_process_call(["rm", thisCfgTemplate])

    if overrideGT.strip() != "":
        print "="*60
        msg = ("Overriding global tag with single-IOV tags extracted from '{}' "
               "for run number '{}'.".format(generalOptions["globaltag"],
                                             first_run))
        print msg
        print "-"*60
        print overrideGT

    sys.exit()


#------------------------------------------------------------------------------
# loop over dataset-sections
firstDataset = True
overrideGT = ""
for section in config.sections():
    if 'general' in section:
        continue
    elif section.startswith("dataset:"):
        datasetOptions={}
        print "-"*60

        # set name from section-name
        datasetOptions['name'] = section[8:]

        # extract essential variables
        for var in ['inputFileList','collection']:
            try:
                datasetOptions[var] = config.get(section,var)
            except ConfigParser.NoOptionError:
                print 'No', var, 'found in', section+'. Please check ini-file.'
                sys.exit(1)

        # get globaltag and configTemplate. If none in section, try to get default from [general] section.
        for var in ['configTemplate','globaltag']:
            if config.has_option(section,var):
                datasetOptions[var] = config.get(section,var)
            else:
                try:
                    datasetOptions[var] = generalOptions[var]
                except KeyError:
                    print "No",var,"found in ["+section+"]",
                    print "and no default in [general] section."
                    sys.exit(1)

        # extract non-essential options
        datasetOptions['cosmicsZeroTesla'] = False
        if config.has_option(section,'cosmicsZeroTesla'):
            datasetOptions['cosmicsZeroTesla'] = config.getboolean(section,'cosmicsZeroTesla')

        datasetOptions['cosmicsDecoMode'] = False
        if config.has_option(section,'cosmicsDecoMode'):
            datasetOptions['cosmicsDecoMode'] = config.getboolean(section,'cosmicsDecoMode')

        datasetOptions['primaryWidth'] = -1.0
        if config.has_option(section,'primaryWidth'):
            datasetOptions['primaryWidth'] = config.getfloat(section,'primaryWidth')

        datasetOptions['json'] = ''
        if config.has_option(section, 'json'):
            datasetOptions['json'] = config.get(section,'json')
        else:
            try:
                datasetOptions['json'] = generalOptions['json']
            except KeyError:
                print "No json given in either [general] or ["+section+"] sections.",
                print "Proceeding without json-file."


        # replace '${datasetdir}' and other variables in inputFileList-path
        datasetOptions['inputFileList'] = os.path.expandvars(datasetOptions['inputFileList'])

        # replace variables in configTemplate-path, e.g. $CMSSW_BASE
        datasetOptions['configTemplate'] = os.path.expandvars(datasetOptions['configTemplate'])


        # Get number of jobs from lines in inputfilelist
        datasetOptions['njobs'] = 0
        try:
            with open(datasetOptions['inputFileList'],'r') as filelist:
                for line in filelist:
                    if 'CastorPool' in line:
                        continue
                    # ignore empty lines
                    if not line.strip()=='':
                        datasetOptions['njobs'] += 1
        except IOError:
            print 'Inputfilelist', datasetOptions['inputFileList'], 'does not exist.'
            sys.exit(1)
        if datasetOptions['njobs'] == 0:
            print 'Number of jobs is 0. There may be a problem with the inputfilelist:'
            print datasetOptions['inputFileList']
            sys.exit(1)

        # Check if njobs gets overwritten in .ini-file
        if config.has_option(section,'njobs'):
            if config.getint(section,'njobs')<=datasetOptions['njobs']:
                datasetOptions['njobs'] = config.getint(section,'njobs')
            else:
                print 'njobs is bigger than the default',datasetOptions['njobs'],'. Using default.'
        else:
            print 'No number of jobs specified. Using number of files in inputfilelist as the number of jobs.'


        # Build config from template/Fill in variables
        try:
            with open(datasetOptions['configTemplate'],'r') as INFILE:
                tmpFile = INFILE.read()
        except IOError:
            print 'The config-template called',datasetOptions['configTemplate'],'cannot be found.'
            sys.exit(1)

        tmpFile = re.sub('setupGlobaltag\s*\=\s*[\"\'](.*?)[\"\']',
                         'setupGlobaltag = \"'+datasetOptions['globaltag']+'\"',
                         tmpFile)
        tmpFile = re.sub(re.compile("setupRunStartGeometry\s*\=\s*.*$", re.M),
                         "setupRunStartGeometry = "+
                         generalOptions["FirstRunForStartGeometry"], tmpFile)
        tmpFile = re.sub('setupCollection\s*\=\s*[\"\'](.*?)[\"\']',
                         'setupCollection = \"'+datasetOptions['collection']+'\"',
                         tmpFile)
        if datasetOptions['cosmicsZeroTesla']:
            tmpFile = re.sub(re.compile('setupCosmicsZeroTesla\s*\=\s*.*$', re.M),
                             'setupCosmicsZeroTesla = True',
                             tmpFile)
        if datasetOptions['cosmicsDecoMode']:
            tmpFile = re.sub(re.compile('setupCosmicsDecoMode\s*\=\s*.*$', re.M),
                             'setupCosmicsDecoMode = True',
                             tmpFile)
        if datasetOptions['primaryWidth'] > 0.0:
            tmpFile = re.sub(re.compile('setupPrimaryWidth\s*\=\s*.*$', re.M),
                             'setupPrimaryWidth = '+str(datasetOptions['primaryWidth']),
                             tmpFile)
        if datasetOptions['json'] != '':
            tmpFile = re.sub(re.compile('setupJson\s*\=\s*.*$', re.M),
                             'setupJson = \"'+datasetOptions['json']+'\"',
                             tmpFile)

        thisCfgTemplate = 'tmp.py'
        with open(thisCfgTemplate, 'w') as OUTFILE:
            OUTFILE.write(tmpFile)


        # Set mps_setup append option for datasets following the first one
        append = "-a"
        if firstDataset:
            append = ''
            firstDataset = False
            configTemplate = tmpFile
            cms_process = mps_tools.get_process_object(thisCfgTemplate)
            overrideGT = create_input_db(cms_process,
                                         generalOptions["FirstRunForStartGeometry"])

        with open(thisCfgTemplate, "a") as f: f.write(overrideGT)


        # create mps_setup command
        command = ["mps_setup.pl",
                   "-m",
                   append,
                   "-M", generalOptions["pedeMem"],
                   "-N", datasetOptions["name"],
                   milleScript,
                   thisCfgTemplate,
                   datasetOptions["inputFileList"],
                   str(datasetOptions["njobs"]),
                   generalOptions["classInf"],
                   generalOptions["jobname"],
                   pedeScript,
                   "cmscafuser:"+mssDir]
        command = filter(lambda x: len(x.strip()) > 0, command)

        # Some output:
        print 'Submitting dataset:', datasetOptions['name']
        print 'Baseconfig:        ', datasetOptions['configTemplate']
        print 'Collection:        ', datasetOptions['collection']
        if datasetOptions["collection"] in ("ALCARECOTkAlCosmicsCTF0T",
                                            "ALCARECOTkAlCosmicsInCollisions"):
            print 'cosmicsDecoMode:   ', datasetOptions['cosmicsDecoMode']
            print 'cosmicsZeroTesla:  ', datasetOptions['cosmicsZeroTesla']
        print 'Globaltag:         ', datasetOptions['globaltag']
        print 'Number of jobs:    ', datasetOptions['njobs']
        print 'Inputfilelist:     ', datasetOptions['inputFileList']
        if datasetOptions['json'] != '':
            print 'Jsonfile:          ', datasetOptions['json']
        print 'Pass to mps_setup: ', " ".join(command)

        # call the command and toggle verbose output
        handle_process_call(command, args.verbose)

        # remove temporary file
        handle_process_call(["rm", thisCfgTemplate])

if firstDataset:
    print "No dataset section defined in '{0}'".format(aligmentConfig)
    print "At least one section '[dataset:<name>]' is required."
    sys.exit(1)

firstPedeConfig = True
for setting in pedesettings:
    print
    print "="*60
    if setting is None:
        print "Creating pede job."
    else:
        print "Creating pede jobs using settings from '{0}'.".format(setting)
    for weight_conf in weight_confs:
        print "-"*60
        # blank weights
        handle_process_call(["mps_weight.pl", "-c"])

        for name,weight in weight_conf:
            handle_process_call(["mps_weight.pl", "-N", name, weight], True)

        if not firstPedeConfig:
            # create new mergejob
            handle_process_call(["mps_setupm.pl"], True)

        # read mps.db to find directory of new mergejob
        lib = mpslib.jobdatabase()
        lib.read_db()

        # short cut for jobm path
        jobm_path = os.path.join("jobData", lib.JOBDIR[-1])

        # delete old merge-config
        command = ["rm", "-f", os.path.join(jobm_path, "alignment_merge.py")]
        handle_process_call(command, args.verbose)

        thisCfgTemplate = "tmp.py"
        with open(thisCfgTemplate, "w") as f:
            f.write(configTemplate+overrideGT)

        # create new merge-config
        command = [
            "mps_merge.py",
            "-w", thisCfgTemplate,
            os.path.join(jobm_path, "alignment_merge.py"),
            jobm_path,
            str(lib.nJobs),
        ]
        if setting is not None: command.extend(["-a", setting])
        print " ".join(command)
        handle_process_call(command, args.verbose)
        tracker_tree_path = create_tracker_tree(datasetOptions["globaltag"],
                                                generalOptions["FirstRunForStartGeometry"])
        if firstPedeConfig:
            os.symlink(tracker_tree_path,
                       os.path.abspath(os.path.join(jobm_path,
                                                    ".TrackerTree.root")))
            firstPedeConfig = False

        # store weights configuration
        with open(os.path.join(jobm_path, ".weights.pkl"), "wb") as f:
            cPickle.dump(weight_conf, f, 2)

    # remove temporary file
    handle_process_call(["rm", thisCfgTemplate])

if overrideGT.strip() != "":
    print "="*60
    msg = ("Overriding global tag with single-IOV tags extracted from '{}' for "
           "run number '{}'.".format(generalOptions["globaltag"],
                                     generalOptions["FirstRunForStartGeometry"]))
    print msg
    print "-"*60
    print overrideGT