def add_merged_sample(NAME, type, AnaUrl, FWUrl, samples, comment):
# samples is a simple dict containing three keys: 'process', 'dataset_id', 'sample_id'
dbstore = DbStore()
sample = None
# check that source dataset exist
# Skip: should exist, the check has been done before calling this function
# check that there is no existing entry
update = False
localpath = ''
nevents = 0
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)
# collecting contents
sample.nevents_processed = 0
sample.nevents = 0
sample.normalization = 1
sample.event_weight_sum = 0
extras_event_weight_sum = {}
dataset_nevents = 0
processed_lumi = LumiList()
for i, s in enumerate(samples):
if i == 0:
sample.source_dataset_id = s['dataset_id']
sample.source_sample_id = s['sample_id']
results = dbstore.find(Sample, Sample.sample_id == s['sample_id'])
# Should exist, the check has been done before calling this function
sample.nevents_processed += results[0].nevents_processed
sample.nevents += results[0].nevents
sample.event_weight_sum += results[0].event_weight_sum
extra_sumw = results[0].extras_event_weight_sum
if extra_sumw is not None:
extra_sumw = json.loads(extra_sumw)
for key in extra_sumw:
try:
extras_event_weight_sum[key] += extra_sumw[key]
except KeyError:
extras_event_weight_sum[key] = extra_sumw[key]
tmp_processed_lumi = results[0].processed_lumi
if tmp_processed_lumi is not None:
tmp_processed_lumi = json.loads( tmp_processed_lumi )
processed_lumi = processed_lumi | LumiList(compactList = tmp_processed_lumi)
# Get info from file table
results = dbstore.find(File, File.sample_id == s['sample_id'])
for lfn, pfn, event_weight_sum, file_extras_event_weight_sum, nevents in list(results.values(File.lfn, File.pfn, File.event_weight_sum, File.extras_event_weight_sum, File.nevents)):
f = File(lfn, pfn, event_weight_sum, file_extras_event_weight_sum, nevents)
sample.files.add(f)
# Get info from parent datasets
results = dbstore.find(Dataset, Dataset.dataset_id == s['dataset_id'])
dataset_nevents += results[0].nevents
if len(extras_event_weight_sum) > 0:
sample.extras_event_weight_sum = unicode(json.dumps(extras_event_weight_sum))
if len(processed_lumi.getCompactList()) > 0:
sample.processed_lumi = unicode(json.dumps(processed_lumi.getCompactList()))
sample.code_version = unicode(AnaUrl + ' ' + FWUrl) #NB: limited to 255 characters, but so far so good
if sample.nevents_processed != dataset_nevents:
sample.user_comment = unicode("Sample was not fully processed, only " + str(sample.nevents_processed) + "/" + str(dataset_nevents) + " events were processed. " + comment)
else:
sample.user_comment = unicode(comment)
sample.author = unicode(getpwuid(os.stat(os.getcwd()).st_uid).pw_name)
if not update:
dbstore.add(sample)
if sample.luminosity is None:
sample.luminosity = sample.getLuminosity()
print sample
dbstore.commit()
return
else:
sample.luminosity = sample.getLuminosity()
print("Sample updated")
print(sample)
dbstore.commit()
return
# rollback
dbstore.rollback()
def add_sample(NAME,
localpath,
type,
nevents,
nselected,
AnaUrl,
FWUrl,
dataset_id,
sumw,
extras_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.extras_event_weight_sum = unicode(
json.dumps(extras_sumw, separators=(',', ':')))
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
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
dbstore.commit()
return
else:
sample.luminosity = sample.getLuminosity()
print("Sample updated")
print(sample)
dbstore.commit()
return
# rollback
dbstore.rollback()
def add_sample(NAME, localpath, type, nevents, nselected, AnaUrl, FWUrl, dataset_id, sumw, extras_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.extras_event_weight_sum = unicode(json.dumps(extras_sumw, separators=(',', ':')))
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
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
dbstore.commit()
return
else:
sample.luminosity = sample.getLuminosity()
print("Sample updated")
print(sample)
dbstore.commit()
return
# rollback
dbstore.rollback()
def add_merged_sample(samples, name, comment, store):
# Retrieve the sample from the database if it already exists. Otherwise, create a new
# sample
update = False
sample = store.find(Sample, Sample.name == unicode(name)).one()
if not sample:
sample = Sample(unicode(name), unicode(''), unicode('NTUPLES'), 0)
store.add(sample)
else:
update = True
sample.removeFiles(store)
store.flush()
# Set as parent dataset of the merged sample the parent dataset
# of the first sample
sample.source_dataset_id = samples[0].source_dataset_id
# Reset sample content
sample.nevents_processed = 0
sample.nevents = 0
sample.normalization = 1
sample.event_weight_sum = 0
extras_event_weight_sum = {}
dataset_nevents = 0
processed_lumi = LumiList()
for i, s in enumerate(samples):
sample.derived_samples.add(s)
sample.nevents_processed += s.nevents_processed
sample.nevents += s.nevents
sample.event_weight_sum += s.event_weight_sum
extra_sumw = s.extras_event_weight_sum
if extra_sumw:
extra_sumw = json.loads(extra_sumw)
for key in extra_sumw:
if key in extras_event_weight_sum:
extras_event_weight_sum[key] += extra_sumw[key]
else:
extras_event_weight_sum[key] = extra_sumw[key]
if s.processed_lumi is not None:
sample_processed_lumi = json.loads(s.processed_lumi)
processed_lumi = processed_lumi | LumiList(
compactList=sample_processed_lumi)
for f in s.files:
sample.files.add(f)
# Get info from parent datasets
dataset_nevents += s.source_dataset.nevents
if len(extras_event_weight_sum) > 0:
sample.extras_event_weight_sum = unicode(
json.dumps(extras_event_weight_sum))
if len(processed_lumi.getCompactList()) > 0:
sample.processed_lumi = unicode(
json.dumps(processed_lumi.getCompactList()))
sample.code_version = samples[0].code_version
if sample.nevents_processed != dataset_nevents:
sample.user_comment = unicode("Sample was not fully processed, only " +
str(sample.nevents_processed) + "/" +
str(dataset_nevents) +
" events were processed. " + comment)
else:
sample.user_comment = unicode(comment)
sample.author = unicode(getpwuid(os.stat(os.getcwd()).st_uid).pw_name)
sample.luminosity = sample.getLuminosity()
print("")
print("Merged sample %s:" % ("updated" if update else "created"))
print(sample)
store.commit()
