def run(self):
self.parse_options()
datafiles = self.args[1:]
if len(datafiles) == 0:
print "Please specify at least one datafile to convert"
exit(1)
datafile1 = unpickle(datafiles[0])
counter_names = datafile1.counters.keys()
attr_names = datafile1.attrs.keys()
lease_stats_names = datafile1.lease_stats_names
stats_names = datafile1.stats_names
if self.opt.list_counters:
for counter in counter_names:
print counter
exit(0)
if self.opt.type == "per-run":
header_fields = attr_names + stats_names
elif self.opt.type == "per-lease":
header_fields = attr_names + ["lease_id"] + lease_stats_names
elif self.opt.type == "counter":
counter = self.opt.counter
if not datafile1.counters.has_key(counter):
print "The specified datafile does not have a counter called '%s'" % counter
exit(1)
header_fields = attr_names + ["time", "value"]
if datafile1.counter_avg_type[
counter] != AccountingDataCollection.AVERAGE_NONE:
header_fields.append("average")
header = ",".join(header_fields)
print header
for datafile in datafiles:
data = unpickle(datafile)
attrs = [data.attrs[attr_name] for attr_name in attr_names]
if self.opt.type == "per-run":
fields = attrs + [
` data.stats[stats_name] ` for stats_name in stats_names
]
print ",".join(fields)
def run(self):
self.parse_options()
datafiles=self.args[1:]
if len(datafiles) == 0:
print "Please specify at least one datafile to convert"
exit(1)
datafile1 = unpickle(datafiles[0])
counter_names = datafile1.counters.keys()
attr_names = datafile1.attrs.keys()
lease_stats_names = datafile1.lease_stats_names
stats_names = datafile1.stats_names
if self.opt.list_counters:
for counter in counter_names:
print counter
exit(0)
if self.opt.type == "per-run":
header_fields = attr_names + stats_names
elif self.opt.type == "per-lease":
header_fields = attr_names + ["lease_id"] + lease_stats_names
elif self.opt.type == "counter":
counter = self.opt.counter
if not datafile1.counters.has_key(counter):
print "The specified datafile does not have a counter called '%s'" % counter
exit(1)
header_fields = attr_names + ["time", "value"]
if datafile1.counter_avg_type[counter] != AccountingDataCollection.AVERAGE_NONE:
header_fields.append("average")
header = ",".join(header_fields)
print header
for datafile in datafiles:
data = unpickle(datafile)
attrs = [data.attrs[attr_name] for attr_name in attr_names]
if self.opt.type == "per-run":
fields = attrs + [`data.stats[stats_name]` for stats_name in stats_names]
print ",".join(fields)
def run(self):
self.parse_options()
datafiles=self.args[1:]
if len(datafiles) == 0:
print "Please specify at least one datafile to convert"
exit(1)
counter_names = set()
attr_names = set()
lease_stats_names = set()
stats_names = set()
for datafile in datafiles:
try:
data = unpickle(datafile)
counter_names.update(data.counters.keys())
attr_names.update(data.attrs.keys())
lease_stats_names.update(data.lease_stats_names)
stats_names.update(data.stats_names)
except:
print >> sys.stderr, "Error reading file %s" % (datafile)
counter_names = list(counter_names)
attr_names = list(attr_names)
lease_stats_names = list(lease_stats_names)
stats_names = list(stats_names)
if self.opt.list_counters:
for counter in counter_names:
print counter
exit(0)
if self.opt.type == "per-run":
header_fields = attr_names + stats_names
elif self.opt.type == "per-lease":
header_fields = attr_names + ["lease_id"] + lease_stats_names
elif self.opt.type == "counter":
counter = self.opt.counter
data = unpickle(datafiles[0])
if not data.counters.has_key(counter):
print "The specified datafile does not have a counter called '%s'" % counter
exit(1)
header_fields = attr_names + ["time", "value"]
if data.counter_avg_type[counter] != AccountingDataCollection.AVERAGE_NONE:
header_fields.append("average")
header = ",".join(header_fields)
print header
for datafile in datafiles:
try:
data = unpickle(datafile)
attrs = [data.attrs.get(attr_name, "") for attr_name in attr_names]
if self.opt.type == "per-run":
fields = attrs + [str(data.stats.get(stats_name,"")) for stats_name in stats_names]
print ",".join(fields)
elif self.opt.type == "per-lease":
leases = data.lease_stats
for lease_id, lease_stat in leases.items():
fields = attrs + [`lease_id`] + [str(lease_stat.get(lease_stat_name,"")) for lease_stat_name in lease_stats_names]
print ",".join(fields)
elif self.opt.type == "counter":
for (time, lease_id, value, avg) in data.counters[counter]:
fields = attrs + [`time`, `value`]
if data.counter_avg_type[counter] != AccountingDataCollection.AVERAGE_NONE:
fields.append(`avg`)
print ",".join(fields)
except:
print >> sys.stderr, "Error reading file %s" % (datafile)
