def main():
"""Main function"""
# get the options
optmgr = MyOptionParser()
opts = optmgr.get_opt()
# build the result from user input
result = Result(unicode(opts.path))
result.description = unicode(opts.desc)
result.author = unicode(opts.author)
result.creation_time = opts.datetime
# connect to the MySQL database using default credentials
dbstore = DbStore()
# unless the source is set, prompt the user and present a list to make a choice
if opts.inputSamples is None:
inputSamples = prompt_samples(dbstore)
else:
inputSamples = parse_samples(opts.inputSamples)
# create and store the relations
samples = dbstore.find(Sample,Sample.sample_id.is_in(inputSamples))
if samples.is_empty():
dbstore.add(result)
else:
for sample in samples:
sample.results.add(result)
print result
if confirm(prompt="Insert into the database?", resp=True):
dbstore.commit()
def main():
"""Main function"""
# get the options
optmgr = MyOptionParser()
opts = optmgr.get_opt()
# connect to the MySQL database using default credentials
dbstore = DbStore()
# check that the LHCO exists and obtain the dataset id
check = dbstore.find(Sample,Sample.sample_id==opts.lhco_id)
if check.is_empty() or check.one().sampletype != "LHCO":
raise IndexError("No LHCO with such index: %d"%opts.lhco_id)
opts.dataset = findDataset(check.one())
if opts.dataset is None:
raise RuntimeError("Impossible to get the dataset id.")
# check that the process exists
check = dbstore.find(MadWeight,MadWeight.process_id==opts.process)
if check.is_empty():
raise IndexError("No process with such index: %d"%opts.process)
# create the MW run object
mw_run = MadWeightRun(opts.process,opts.lhco_id)
mw_run.systematics = unicode(opts.syst)
mw_run.user_comment = unicode(opts.comment)
mw_run.version = opts.version
if mw_run.version is None:
check = dbstore.find(MadWeightRun,(MadWeightRun.madweight_process==mw_run.madweight_process) & (MadWeightRun.lhco_sample_id==mw_run.lhco_sample_id))
if not check.is_empty():
mw_run.version = check.order_by(MadWeightRun.version).last().version + 1
else:
mw_run.version = 1
else:
check = dbstore.find(MadWeightRun,(MadWeightRun.madweight_process==mw_run.madweight_process) & (MadWeightRun.lhco_sample_id==mw_run.lhco_sample_id) & (MadWeightRun.version==mw_run.version))
if not check.is_empty():
raise RuntimeError("There is already one such MadWeight run with the same version number:\n%s\n"%str(check.one()))
# read the file
inputfile = open(opts.filepath)
count = 0
for line in inputfile:
data = line.rstrip('\n').split('\t')
# get the event
run_number = int(data[0].split('.')[0])
event_number = int(data[0].split('.')[1])
event_query = dbstore.find(Event, (Event.event_number==event_number) & (Event.run_number==run_number) & (Event.dataset_id==opts.dataset))
if event_query.is_empty():
event = Event(event_number,run_number,opts.dataset)
else:
event = event_query.one()
# create the weight
weight = Weight()
weight.event = event
weight.mw_run = mw_run
weight.value = float(data[1])
weight.uncertainty = float(data[2])
dbstore.add(weight)
count += 1
# confirm and commit
print mw_run
print "Adding weights to %d events."%count
if confirm(prompt="Insert into the database?", resp=True):
dbstore.commit()
def add_sample(NAME, localpath, type, dataset_nevents, nselected, AnaUrl, FWUrl, dataset_id):
# Large part of this imported from SAMADhi add_sample.py
sample = Sample(unicode(NAME), unicode(localpath), unicode(type), dataset_nevents)
sample.nevents = nselected
sample.normalization = 1.0
sample.luminosity = 40028954.499 / 1e6 # FIXME: figure out the fix for data whenever the tools will stabilize and be on cvmfs
sample.code_version = unicode(AnaUrl + ' ' + FWUrl) #NB: limited to 255 characters, but so far so good
# sample.user_comment =
sample.source_dataset_id = dataset_id
# sample.source_sample_id = None
sample.author = unicode(getpwuid(os.stat(os.getcwd()).st_uid).pw_name)
# sample.creation_time =
# connect to the MySQL database using default credentials
dbstore = DbStore()
# check that source dataset exist
if dbstore.find(Dataset,Dataset.dataset_id==sample.source_dataset_id).is_empty():
raise IndexError("No dataset with such index: %d"%sample.source_dataset_id)
# check that there is no existing entry
checkExisting = dbstore.find(Sample,Sample.name==sample.name)
if checkExisting.is_empty():
print sample
if confirm(prompt="Insert into the database?", resp=True):
dbstore.add(sample)
# compute the luminosity, if possible
if sample.luminosity is None:
dbstore.flush()
sample.luminosity = sample.getLuminosity()
else:
existing = checkExisting.one()
prompt = "Replace existing "
prompt += str(existing)
prompt += "\nby new "
prompt += str(sample)
prompt += "\n?"
if confirm(prompt, resp=False):
existing.replaceBy(sample)
if existing.luminosity is None:
dbstore.flush()
existing.luminosity = existing.getLuminosity()
# commit
dbstore.commit()
def add_sample(NAME, localpath, type, nevents, nselected, AnaUrl, FWUrl, dataset_id, sumw, has_job_processed_everything, dataset_nevents, files, processed_lumi=None):
dbstore = DbStore()
sample = None
# check that source dataset exist
if dbstore.find(Dataset, Dataset.dataset_id == dataset_id).is_empty():
raise IndexError("No dataset with such index: %d" % sample.dataset_id)
# check that there is no existing entry
update = False
checkExisting = dbstore.find(Sample, Sample.name == unicode(NAME))
if checkExisting.is_empty():
sample = Sample(unicode(NAME), unicode(localpath), unicode(type), nevents)
else:
update = True
sample = checkExisting.one()
sample.removeFiles(dbstore)
sample.nevents_processed = nevents
sample.nevents = nselected
sample.normalization = 1
sample.event_weight_sum = sumw
# sample.luminosity = 40028954.499 / 1e6 # FIXME: figure out the fix for data whenever the tools will stabilize and be on cvmfs
sample.code_version = unicode(AnaUrl + ' ' + FWUrl) #NB: limited to 255 characters, but so far so good
if not has_job_processed_everything:
sample.user_comment = unicode("Sample was not fully processed, only " + str(nevents) + "/" + str(dataset_nevents) + " events were processed")
else:
sample.user_comment = u""
sample.source_dataset_id = dataset_id
sample.author = unicode(getpwuid(os.stat(os.getcwd()).st_uid).pw_name)
if processed_lumi:
# Convert to json
import json
processed_lumi = json.dumps(processed_lumi, separators=(',', ':'))
sample.processed_lumi = unicode(processed_lumi)
else:
sample.processed_lumi = None
for f in files:
sample.files.add(f)
if not update:
dbstore.add(sample)
if sample.luminosity is None:
sample.luminosity = sample.getLuminosity()
print sample
if confirm(prompt="Insert into the database?", resp=True):
dbstore.commit()
return
else:
sample.luminosity = sample.getLuminosity()
prompt = "A sample with the same name already exists in the database. Replace by:\n"
prompt += str(sample)
prompt += "\n?"
if confirm(prompt, resp=False):
dbstore.commit()
return
# rollback
dbstore.rollback()
def add_sample(NAME,
localpath,
type,
nevents,
nselected,
AnaUrl,
FWUrl,
dataset_id,
sumw,
has_job_processed_everything,
dataset_nevents,
files,
processed_lumi=None):
dbstore = DbStore()
sample = None
# check that source dataset exist
if dbstore.find(Dataset, Dataset.dataset_id == dataset_id).is_empty():
raise IndexError("No dataset with such index: %d" % sample.dataset_id)
# check that there is no existing entry
update = False
checkExisting = dbstore.find(Sample, Sample.name == unicode(NAME))
if checkExisting.is_empty():
sample = Sample(unicode(NAME), unicode(localpath), unicode(type),
nevents)
else:
update = True
sample = checkExisting.one()
sample.removeFiles(dbstore)
sample.nevents_processed = nevents
sample.nevents = nselected
sample.normalization = 1
sample.event_weight_sum = sumw
# sample.luminosity = 40028954.499 / 1e6 # FIXME: figure out the fix for data whenever the tools will stabilize and be on cvmfs
sample.code_version = unicode(
AnaUrl + ' ' +
FWUrl) #NB: limited to 255 characters, but so far so good
if not has_job_processed_everything:
sample.user_comment = unicode("Sample was not fully processed, only " +
str(nevents) + "/" +
str(dataset_nevents) +
" events were processed")
else:
sample.user_comment = u""
sample.source_dataset_id = dataset_id
sample.author = unicode(getpwuid(os.stat(os.getcwd()).st_uid).pw_name)
if processed_lumi:
# Convert to json
import json
processed_lumi = json.dumps(processed_lumi, separators=(',', ':'))
sample.processed_lumi = unicode(processed_lumi)
else:
sample.processed_lumi = None
for f in files:
sample.files.add(f)
if not update:
dbstore.add(sample)
if sample.luminosity is None:
sample.luminosity = sample.getLuminosity()
print sample
if confirm(prompt="Insert into the database?", resp=True):
dbstore.commit()
return
else:
sample.luminosity = sample.getLuminosity()
prompt = "A sample with the same name already exists in the database. Replace by:\n"
prompt += str(sample)
prompt += "\n?"
if confirm(prompt, resp=False):
dbstore.commit()
return
# rollback
dbstore.rollback()
def main():
"""Main function"""
# get the options
optmgr = MyOptionParser()
opts = optmgr.get_opt()
# build the sample from user input
sample = Sample(unicode(opts.name), unicode(opts.path), unicode(opts.sampletype), opts.nevents_processed)
sample.nevents = opts.nevents
sample.normalization = opts.normalization
sample.luminosity = opts.luminosity
sample.code_version = unicode(opts.code_version)
sample.user_comment = unicode(opts.user_comment)
sample.source_dataset_id = opts.source_dataset_id
sample.source_sample_id = opts.source_sample_id
sample.author = unicode(opts.author)
sample.creation_time = opts.datetime
# connect to the MySQL database using default credentials
dbstore = DbStore()
# unless the source is set, prompt the user and present a list to make a choice
if sample.source_dataset_id is None:
prompt_dataset(sample,dbstore)
if sample.source_sample_id is None:
prompt_sample(sample,dbstore)
# check that source sample and dataset exist
if sample.source_dataset_id is not None:
checkExisting = dbstore.find(Dataset,Dataset.dataset_id==sample.source_dataset_id)
if checkExisting.is_empty():
raise IndexError("No dataset with such index: %d"%sample.source_dataset_id)
if sample.source_sample_id is not None:
checkExisting = dbstore.find(Sample,Sample.sample_id==sample.source_sample_id)
if checkExisting.is_empty():
raise IndexError("No sample with such index: %d"%sample.source_sample_id)
# if opts.nevents is not set, take #events from source sample (if set) or from source dataset (if set) in that order
if sample.nevents_processed is None and sample.source_sample_id is not None:
sample.nevents_processed = dbstore.find(Sample,Sample.sample_id==sample.source_sample_id).one().nevents_processed
if sample.nevents_processed is None and sample.source_dataset_id is not None:
sample.nevents_processed = dbstore.find(Dataset,Dataset.dataset_id==sample.source_dataset_id).one().nevents
if sample.nevents_processed is None:
print "Warning: Number of processed events not given, and no way to guess it."
# check that there is no existing entry
checkExisting = dbstore.find(Sample,Sample.name==sample.name)
if checkExisting.is_empty():
print sample
if confirm(prompt="Insert into the database?", resp=True):
dbstore.add(sample)
# compute the luminosity, if possible
if sample.luminosity is None:
dbstore.flush()
sample.luminosity = sample.getLuminosity()
else:
existing = checkExisting.one()
prompt = "Replace existing "
prompt += str(existing)
prompt += "\nby new "
prompt += str(sample)
prompt += "\n?"
if confirm(prompt, resp=False):
existing.replaceBy(sample)
if existing.luminosity is None:
dbstore.flush()
existing.luminosity = existing.getLuminosity()
# commit
dbstore.commit()
def main():
"""Main function"""
# get the options
optmgr = DASOptionParser()
opts = optmgr.get_opt()
host = opts.host
debug = opts.verbose
sample = opts.sample
query1 = "dataset="+sample+" | grep dataset.name, dataset.nevents, dataset.size, dataset.tag, dataset.datatype, dataset.creation_time"
query2 = "release dataset="+sample+" | grep release.name"
idx = opts.idx
thr = opts.threshold
ckey = opts.ckey
cert = opts.cert
das_h = opts.das_headers
# perform the DAS queries
jsondict1 = get_data(host, query1, idx, 1, debug, thr, ckey, cert, das_h)
jsondict2 = get_data(host, query2, idx, 1, debug, thr, ckey, cert, das_h)
# check the result
if len(jsondict1)>1: print "Error: more than one element in jsondict1..."
tmp = [{u'dataset' : [{}]},]
for i in range(0,len(jsondict1[0]["dataset"])):
if jsondict1[0]["dataset"][i]["name"]==sample:
for key in jsondict1[0]["dataset"][i]:
tmp[0]["dataset"][0][key] = jsondict1[0]["dataset"][i][key]
if not "tag" in tmp[0]["dataset"][0]:
print "global tag not found: looks to be always the case now, value will be 'None'"
tmp[0]["dataset"][0][u'tag']=None
print "****das query:", tmp
jsondict1 = tmp
if not(isinstance(jsondict1, list) and
len(jsondict1)==1 and
isinstance(jsondict1[0], dict) and
isinstance(jsondict1[0]["dataset"],list) and
len(jsondict1[0]["dataset"])==1 and
isinstance(jsondict1[0]["dataset"][0],dict) and
isinstance(jsondict2, list) and
len(jsondict2)==1 and
isinstance(jsondict2[0], dict) and
isinstance(jsondict2[0]["release"],list) and
len(jsondict2[0]["release"])==1 and
isinstance(jsondict2[0]["release"][0],dict)):
raise RuntimeError("Incorrect response from DAS:\n"+str(jsondict1)+"\n"+str(jsondict2))
# prepare the summary json object
jsondict1[0]["dataset"][0][u"release"] = jsondict2[0]["release"][0]["name"]
jsondict1[0]["dataset"][0].update({ u"process":unicode(opts.process),
u"xsection":opts.xsection, u"energy":opts.energy,
u"comment":unicode(opts.comment) })
# convert the jsondict into a Dataset
dataset = asDataset(jsondict1[0]["dataset"][0])
# connect to the MySQL database using default credentials
dbstore = DbStore()
# check that there is no existing entry
checkExisting = dbstore.find(Dataset,Dataset.name==dataset.name)
if checkExisting.is_empty():
print dataset
if confirm(prompt="Insert into the database?", resp=True):
dbstore.add(dataset)
else:
existing = checkExisting.one()
prompt = "Replace existing entry:\n"
prompt += str(existing)
prompt += "\nby new entry:\n"
prompt += str(dataset)
prompt += "\n?"
if confirm(prompt, resp=False):
existing.replaceBy(dataset)
# commit
dbstore.commit()
def main():
"""Main function"""
# get the options
optmgr = MyOptionParser()
opts = optmgr.get_opt()
# build the configuration from user input
madweightCfg = MadWeight(unicode(opts.name))
for card in cards:
setattr(madweightCfg, card, unicode(open(opts.path+"/Cards/"+card+".dat","r").read()))
# get the transfert functions
madweightCfg.transfer_fctVersion = unicode(open('%s/Source/MadWeight/transfer_function/Transfer_FctVersion.txt'%opts.path,"r").read().strip('\n'))
theCfg = madweightCfg.transfer_fctVersion.split(':')[0]
if not os.path.exists("%s/Source/MadWeight/transfer_function/data/TF_%s.dat"%(opts.path,theCfg)):
raise RuntimeError("Could not find the transfert functions TF_%s.dat"%theCfg)
madweightCfg.transfer_function = unicode(open("%s/Source/MadWeight/transfer_function/data/TF_%s.dat"%(opts.path,theCfg),"r").read())
# find the generate line(s)
theCfg = filter(lambda x:x.startswith("generate"),map(lambda x:x.lstrip(' \t'),madweightCfg.proc_card_mg5.splitlines()))
if len(theCfg)!=1:
raise RuntimeError("Could not find a unique generate statement in proc_card_mg5.dat")
madweightCfg.diagram = theCfg[0][8:].lstrip(' \t')
# find the ISR correction parameter
theCfg = filter(lambda x:x.startswith("isr"),map(lambda x:x.lstrip(' \t'),madweightCfg.MadWeight_card.splitlines()))
if len(theCfg)!=1:
raise RuntimeError("Could not find a unique isr statement in MadWeight_card.dat")
madweightCfg.isr=int(theCfg[0].split(None,2)[1])
# find the NWA configuration parameter
theCfg = filter(lambda x:x.startswith("nwa"),map(lambda x:x.lstrip(' \t'),madweightCfg.MadWeight_card.splitlines()))
if len(theCfg)!=1:
raise RuntimeError("Could not find a unique nwa statement in MadWeight_card.dat")
nwa = theCfg[0].split(None,2)[1]
if nwa=='F':
madweightCfg.nwa=False
elif nwa=='T':
madweightCfg.nwa=True
else:
raise RuntimeError("Unrecognized value for the nwa parameter in MadWeight_card.dat: %s"%nwa)
# find the beam energy and store cm energy in TeV
theCfg = filter(lambda x:"ebeam1" in x,madweightCfg.run_card.splitlines())
try:
madweightCfg.cm_energy = float(theCfg[0].split()[0])*0.002
except:
print "Cannot find the beam energy in the run card"
raise
# find and add the Higgs weight (can be null, so no error if missing)
theCfg = filter(lambda x:x.startswith("DECAY"),map(lambda x:x.lstrip(' \t'),madweightCfg.param_card_1.splitlines()))
for cfg in theCfg:
fields = cfg.split()
if fields[1]=="25":
madweightCfg.higgs_width = float(fields[2])
# connect to the MySQL database using default credentials
dbstore = DbStore()
# check that there is no existing entry
checkExisting = dbstore.find(MadWeight,MadWeight.name==madweightCfg.name)
if checkExisting.is_empty():
print madweightCfg
if confirm(prompt="Insert into the database?", resp=True):
dbstore.add(madweightCfg)
else:
existing = checkExisting.one()
prompt = "Replace existing "
prompt += str(existing)
prompt += "\nby new "
prompt += str(madweightCfg)
prompt += "\n?"
if confirm(prompt, resp=False):
existing.replaceBy(madweightCfg)
# commit
dbstore.commit()
