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
result.elog = unicode(opts.elog)
result.analysis_id = opts.ana
# 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)
# flush (populates the analysis if needed)
dbstore.flush()
# print the resulting object and ask for confirmation
print result
if confirm(prompt="Insert into the database?", resp=True):
dbstore.commit()
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 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.event_weight_sum = opts.weight_sum
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."
# List input files
files = []
if opts.files == "":
files = glob.glob(os.path.join(sample.path, '*.root'))
else:
files = unicode(opts.files).split(",")
if len(files) == 0:
print "Warning: no root files found in %r" % sample.path
# Try to guess the number of events stored into the file, as well as the weight sum
for f in files:
(weight_sum, entries) = get_file_data_(f)
sample.files.add(File(f, f, weight_sum, entries))
# 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, 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 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.event_weight_sum = opts.weight_sum
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."
# List input files
files = []
if opts.files == "":
files = glob.glob(os.path.join(sample.path, '*.root'))
else:
files = unicode(opts.files).split(",")
if len(files) == 0:
print "Warning: no root files found in %r" % sample.path
# Try to guess the number of events stored into the file, as well as the weight sum
for f in files:
(weight_sum, entries) = get_file_data_(f)
sample.files.add(File(f, f, weight_sum, entries))
# 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,
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()