def makeTable(users):
"""Print out table containing overlap between specified users"""
tablehead = list(users)
tablehead.insert(0, 'Overlaps')
x = PrettyTable(tablehead)
for user in users:
userOL = [user]
for user2 in users:
n = userSets[user].intersection(userSets[user2])
userOL.append(str(len(n)))
x.add_row(userOL)
return x
def makeTable(users):
"""Print out table containing overlap between specified users"""
tablehead = list(users)
tablehead.insert(0, "Overlaps")
x = PrettyTable(tablehead)
for user in users:
userOL = [user]
for user2 in users:
n = userSets[user].intersection(userSets[user2])
userOL.append(str(len(n)))
x.add_row(userOL)
return x
def query_cli(datadefs, argv=None):
if argv is None:
argv = sys.argv
parser = argparse.ArgumentParser(description='Query datasets')
query_group = parser.add_argument_group(
title='query', description="Query parameters (ORed)")
query_group.add_argument(
'--name', required=False, type=str,
help='"Nice" dataset name (ex: Zjets_M50)')
query_group.add_argument(
'--dataset', required=False, type=str,
help='DBS dataset name (ex: '
'/DYJetsToLL_M-50_TuneZ2Star_8TeV-madgraph-tarball/*')
output_group = parser.add_argument_group(
title='output', description="Output parameters")
output_group.add_argument(
'--columns', nargs='+', help='Output columns',
default=['name', 'datasetpath'],
choices=['name', 'datasetpath', 'pu', 'xsec', 'lumi_mask',
'firstRun', 'lastRun'])
output_group.add_argument(
'--sort', default='name', help='Column to sort by')
output_group.add_argument(
'--noborder', action='store_false', default=True, help='Show border')
args = parser.parse_args(argv[1:])
if not args.name and not args.dataset:
print "Must specify either --name or --dataset. Did you forget to quote a '*'?"
sys.exit(1)
table = PrettyTable(args.columns)
for col in args.columns:
table.set_field_align(col, 'l')
for key in sorted(datadefs.keys()):
value = datadefs[key]
matched = False
if args.name and fnmatch.fnmatch(key, args.name):
matched = True
if args.dataset and fnmatch.fnmatch(value['datasetpath'], args.dataset):
matched = True
if matched:
row = []
for column in args.columns:
if column == 'name':
row.append(key)
else:
row.append(value.get(column, '-'))
table.add_row(row)
table.printt(sortby=args.sort, border=(args.noborder))
def query_cli(datadefs, argv=None):
if argv is None:
argv = sys.argv
parser = argparse.ArgumentParser(description='Query datasets')
query_group = parser.add_argument_group(
title='query', description="Query parameters (ORed)")
query_group.add_argument(
'--name', required=False, type=str,
help='"Nice" dataset name (ex: Zjets_M50)')
query_group.add_argument(
'--dataset', required=False, type=str,
help='DBS dataset name (ex: '
'/DYJetsToLL_M-50_TuneZ2Star_8TeV-madgraph-tarball/*')
output_group = parser.add_argument_group(
title='output', description="Output parameters")
output_group.add_argument(
'--columns', nargs='+', help='Output columns',
default=['name', 'datasetpath'],
choices=['name', 'datasetpath', 'pu', 'x_sec', 'lumi_mask',
'firstRun', 'lastRun'])
output_group.add_argument(
'--sort', default='name', help='Column to sort by')
output_group.add_argument(
'--noborder', action='store_false', default=True, help='Show border')
args = parser.parse_args(argv[1:])
if not args.name and not args.dataset:
print "Must specify either --name or --dataset. Did you forget to quote a '*'?"
sys.exit(1)
table = PrettyTable(args.columns)
for col in args.columns:
table.set_field_align(col, 'l')
for key in sorted(datadefs.keys()):
value = datadefs[key]
matched = False
if args.name and fnmatch.fnmatch(key, args.name):
matched = True
if args.dataset and fnmatch.fnmatch(value['datasetpath'], args.dataset):
matched = True
if matched:
row = []
for column in args.columns:
if column == 'name':
row.append(key)
else:
row.append(value.get(column, '-'))
table.add_row(row)
table.printt(sortby=args.sort, border=(args.noborder))
'size': statinfo.st_size,
'events': events
}
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('file', help='AOD file')
parser.add_argument('--wrt', default=None, help='Original to compare to')
args = parser.parse_args()
file_info = query_file(args.file)
total = sum(x[2] for x in file_info['products'])
table = PrettyTable(['Branch', 'Uncompress', 'Compressed', 'Percent'])
for branch, unc, comp in file_info['products']:
percent = 100. * comp / total
table.add_row([branch, unc, comp, '%0.f%%' % percent])
print "Branches"
print table
print "Events: %i" % file_info['events']
print "Total size: %i kb" % (file_info['size'] / 1000.)
print "=> %0.0f kb/evt" % (file_info['size'] / 1000. / file_info['events'])
if args.wrt:
wrt_info = query_file(args.wrt)
print ""
print "===SOURCE FILE==="
'''
from RecoLuminosity.LumiDB import argparse
import json
from FinalStateAnalysis.Utilities.prettytable import PrettyTable
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('tuple_info',
help='JSON file with list of published PAT tuples')
parser.add_argument('output', help='Output .txt file')
args = parser.parse_args()
x = PrettyTable(["AOD DBS", "PAT DBS", "Files", "Events"])
x.set_field_align("AOD DBS", "l") # Left align city names
x.set_field_align("PAT DBS", "l") # Left align city names
x.set_padding_width(1) # One space between column edges and contents (default)==
with open(args.tuple_info, 'r') as input:
input_dict = json.load(input)
for key in sorted(input_dict.keys()):
val = input_dict[key]
x.add_row([
val['parent'],
key,
val['nfiles'],
val['nevents'],
])
'''
from RecoLuminosity.LumiDB import argparse
import json
from FinalStateAnalysis.Utilities.prettytable import PrettyTable
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('tuple_info',
help='JSON file with list of published PAT tuples')
parser.add_argument('output', help='Output .txt file')
args = parser.parse_args()
x = PrettyTable(["AOD DBS", "PAT DBS", "Files", "Events"])
x.set_field_align("AOD DBS", "l") # Left align city names
x.set_field_align("PAT DBS", "l") # Left align city names
x.set_padding_width(
1) # One space between column edges and contents (default)==
with open(args.tuple_info, 'r') as input:
input_dict = json.load(input)
for key in sorted(input_dict.keys()):
val = input_dict[key]
x.add_row([
val['parent'],
key,
val['nfiles'],
val['nevents'],