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tl_output.py
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tl_output.py
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# Copyright (c) 2012-2015, Intel Corporation
# Author: Andi Kleen
#
# This program is free software; you can redistribute it and/or modify it
# under the terms and conditions of the GNU General Public License,
# version 2, as published by the Free Software Foundation.
#
# This program is distributed in the hope it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
# more details.
#
# Output toplev results in various formats
import locale
import csv
import re
from tl_stat import format_valstat, combine_valstat, isnan
class Output:
"""Abstract base class for Output classes."""
def __init__(self, logfile, version):
self.logf = logfile
self.printed_descs = set()
self.hdrlen = 30
self.version = version
# pass all possible hdrs in advance to compute suitable padding
def set_hdr(self, hdr, area):
if area:
hdr = "%-7s %s" % (area, hdr)
self.hdrlen = max(len(hdr) + 1, self.hdrlen)
def set_cpus(self, cpus):
pass
def item(self, area, name, l, timestamp, remark, desc, title, sample, valstat):
if desc in self.printed_descs:
desc = ""
else:
self.printed_descs.add(desc)
if not area:
area = ""
self.show(timestamp, title, area, name, l, remark, desc, sample, valstat)
def ratio(self, area, name, l, timestamp, remark, desc, title, sample, valstat):
self.item(area, name, "%13.2f" % (100.0 * l), timestamp, "%" + remark, desc, title,
sample, valstat)
def metric(self, area, name, l, timestamp, desc, title, unit, valstat):
self.item(area, name, "%13.2f" % l, timestamp, unit, desc, title,
None, valstat)
def flush(self):
pass
def bottleneck(self, key, name, val):
pass
class OutputHuman(Output):
"""Generate human readable single-column output."""
def __init__(self, logfile, args, version):
Output.__init__(self, logfile, version)
locale.setlocale(locale.LC_ALL, '')
self.args = args
def print_desc(self, desc, sample):
if desc and not self.args.no_desc:
print >>self.logf, "\t" + desc
if desc and sample and not self.args.no_desc:
print >>self.logf, "\t" + "Sampling events: ", sample
def print_timestamp(self, timestamp):
if timestamp:
self.logf.write("%6.9f%s" % (timestamp, " "))
def print_header(self, area, hdr):
hdr = "%-7s %s" % (area, hdr)
self.logf.write("%-*s " % (self.hdrlen, hdr + ":"))
# timestamp Timestamp in interval mode
# title CPU
# area FE/BE ...
# hdr Node Name
# s Formatted measured value
# remark above/below/""
# desc Object description
# sample Sample Objects (string)
# vs Statistics object
# Example:
# C0 BE Backend_Bound: 62.00 %
def show(self, timestamp, title, area, hdr, s, remark, desc, sample, valstat):
self.print_timestamp(timestamp)
write = self.logf.write
if title:
write("%-6s" % (title))
vs = format_valstat(valstat)
self.print_header(area, hdr)
if vs:
val = "%-25s %s" % (s + " " + remark, vs)
else:
val = "%s %s" % (s, remark)
write(val + "\n")
self.print_desc(desc, sample)
def metric(self, area, name, l, timestamp, desc, title, unit, valstat):
if l > 1000:
val = locale.format("%13u", round(l), grouping=True)
else:
val = "%13.2f" % (l)
self.item(area, name, val, timestamp, unit, desc, title,
None, valstat)
def bottleneck(self, key, name, val):
if key:
key += " "
print >>self.logf, "%sBOTTLENECK %s %.2f%%" % (key, name, val * 100.)
class OutputColumns(OutputHuman):
"""Human-readable output data in per-cpu columns."""
def __init__(self, logfile, args, version):
OutputHuman.__init__(self, logfile, args, version)
self.nodes = dict()
self.timestamp = None
self.cpunames = set()
self.printed_header = False
def set_cpus(self, cpus):
self.cpunames = cpus
def show(self, timestamp, title, area, hdr, s, remark, desc, sample, valstat):
if self.args.single_thread:
OutputHuman.show(self, timestamp, title, area, hdr, s, remark, desc, sample, valstat)
return
self.timestamp = timestamp
key = (area, hdr)
if key not in self.nodes:
self.nodes[key] = dict()
assert title not in self.nodes[key]
self.nodes[key][title] = (s, remark, desc, sample, valstat)
def flush(self):
VALCOL_LEN = 14
write = self.logf.write
cpunames = sorted(self.cpunames)
if not self.printed_header:
if self.timestamp:
write("%9s" % "")
write("%*s" % (self.hdrlen, ""))
for j in cpunames:
write("%*s " % (VALCOL_LEN, j))
write("\n")
self.printed_header = True
for key in sorted(sorted(self.nodes.keys(), key=lambda x: x[1]), key=lambda x: x[0] == ""):
node = self.nodes[key]
desc = None
sample = None
remark = None
if self.timestamp:
self.print_timestamp(self.timestamp)
self.print_header(key[0], key[1])
vlist = []
for cpuname in cpunames:
if cpuname in node:
cpu = node[cpuname]
desc, sample, remark, valstat = cpu[2], cpu[3], cpu[1], cpu[4]
if remark in ("above", "below", "Metric", "CoreMetric", "CoreClocks"): # XXX
remark = ""
if valstat:
vlist.append(valstat)
write("%*s " % (VALCOL_LEN, cpu[0]))
else:
write("%*s " % (VALCOL_LEN, ""))
if remark:
vs = format_valstat(combine_valstat(vlist))
write(" %-5s %s" % (remark, vs))
write("\n")
self.print_desc(desc, sample)
self.nodes = dict()
class OutputColumnsCSV(OutputColumns):
"""Columns output in CSV mode."""
def __init__(self, logfile, sep, args, version, cpu):
OutputColumns.__init__(self, logfile, args, version)
self.writer = csv.writer(self.logf, delimiter=sep)
self.printed_header = False
self.writer.writerow(["# " + version + " on " + cpu.name])
def show(self, timestamp, title, area, hdr, s, remark, desc, sample, valstat):
self.timestamp = timestamp
key = (area, hdr)
if key not in self.nodes:
self.nodes[key] = dict()
assert title not in self.nodes[key]
self.nodes[key][title] = (s, remark, desc, sample, valstat)
def flush(self):
cpunames = sorted(self.cpunames)
if not self.printed_header:
ts = ["Timestamp"] if self.timestamp else []
self.writer.writerow(ts + ["Area", "Node"] + cpunames + ["Description", "Sample", "Stddev", "Multiplex"])
self.printed_header = True
for key in sorted(sorted(self.nodes.keys(), key=lambda x: x[1]), key=lambda x: x[0] == ""):
node = self.nodes[key]
ts = [self.timestamp] if self.timestamp else []
l = ts + [key[0], key[1]]
vlist = []
ol = dict()
desc, sample = "", ""
for cpuname in cpunames:
if cpuname in node:
cpu = node[cpuname]
if cpu[2]:
desc = cpu[2]
desc = re.sub(r"\s+", " ", desc)
if cpu[3]:
sample = cpu[3]
# ignore remark for now
if cpu[4]:
vlist.append(cpu[4])
ol[cpuname] = float(cpu[0])
l += [ol[x] if x in ol else "" for x in cpunames]
l.append(desc)
l.append(sample)
vs = combine_valstat(vlist)
if vs:
l += (vs.stddev, vs.multiplex if not isnan(vs.multiplex) else "")
else:
l += ["", ""]
self.writer.writerow(l)
self.nodes = dict()
class OutputCSV(Output):
"""Output data in CSV format."""
def __init__(self, logfile, sep, args, version, cpu):
Output.__init__(self, logfile, version)
self.writer = csv.writer(self.logf, delimiter=sep)
self.args = args
self.writer.writerow(["# " + version + " on " + cpu.name])
def show(self, timestamp, title, area, hdr, s, remark, desc, sample, valstat):
if self.args.no_desc:
desc = ""
desc = re.sub(r"\s+", " ", desc)
l = []
if timestamp:
l.append(timestamp)
if title:
l.append(title)
stddev = valstat.stddev if (valstat and valstat.stddev) else ""
multiplex = valstat.multiplex if (valstat and valstat.multiplex == valstat.multiplex) else ""
self.writer.writerow(l + [hdr, s.strip(), remark, desc, sample, stddev, multiplex])
def bottleneck(self, key, name, val):
self.writer.writerow((key, "BOTTLENECK", name, val * 100.))