qemu-e2k/tests/migration/guestperf/plot.py
Eduardo Habkost f03868bd56 python: futurize -f libfuturize.fixes.fix_print_with_import
Change all Python code to use print as a function.

This is necessary for Python 3 compatibility.

Done using:

  $ py=$( (g grep -l -E '^#!.*python';find -name '*.py' -printf '%P\n';) | \
    sort -u | grep -v README.sh4)
  $ futurize -w -f libfuturize.fixes.fix_print_with_import $py

Reviewed-by: Stefan Hajnoczi <stefanha@redhat.com>
Acked-by: Fam Zheng <famz@redhat.com>
Signed-off-by: Eduardo Habkost <ehabkost@redhat.com>
Message-Id: <20180608122952.2009-2-ehabkost@redhat.com>
[ehabkost: fixup tests/docker/docker.py]
Signed-off-by: Eduardo Habkost <ehabkost@redhat.com>
2018-06-08 14:39:24 -03:00

625 lines
19 KiB
Python

from __future__ import print_function
#
# Migration test graph plotting
#
# Copyright (c) 2016 Red Hat, Inc.
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, see <http://www.gnu.org/licenses/>.
#
import sys
class Plot(object):
# Generated using
# http://tools.medialab.sciences-po.fr/iwanthue/
COLORS = ["#CD54D0",
"#79D94C",
"#7470CD",
"#D2D251",
"#863D79",
"#76DDA6",
"#D4467B",
"#61923D",
"#CB9CCA",
"#D98F36",
"#8CC8DA",
"#CE4831",
"#5E7693",
"#9B803F",
"#412F4C",
"#CECBA6",
"#6D3229",
"#598B73",
"#C8827C",
"#394427"]
def __init__(self,
reports,
migration_iters,
total_guest_cpu,
split_guest_cpu,
qemu_cpu,
vcpu_cpu):
self._reports = reports
self._migration_iters = migration_iters
self._total_guest_cpu = total_guest_cpu
self._split_guest_cpu = split_guest_cpu
self._qemu_cpu = qemu_cpu
self._vcpu_cpu = vcpu_cpu
self._color_idx = 0
def _next_color(self):
color = self.COLORS[self._color_idx]
self._color_idx += 1
if self._color_idx >= len(self.COLORS):
self._color_idx = 0
return color
def _get_progress_label(self, progress):
if progress:
return "\n\n" + "\n".join(
["Status: %s" % progress._status,
"Iteration: %d" % progress._ram._iterations,
"Throttle: %02d%%" % progress._throttle_pcent,
"Dirty rate: %dMB/s" % (progress._ram._dirty_rate_pps * 4 / 1024.0)])
else:
return "\n\n" + "\n".join(
["Status: %s" % "none",
"Iteration: %d" % 0])
def _find_start_time(self, report):
startqemu = report._qemu_timings._records[0]._timestamp
startguest = report._guest_timings._records[0]._timestamp
if startqemu < startguest:
return startqemu
else:
return stasrtguest
def _get_guest_max_value(self, report):
maxvalue = 0
for record in report._guest_timings._records:
if record._value > maxvalue:
maxvalue = record._value
return maxvalue
def _get_qemu_max_value(self, report):
maxvalue = 0
oldvalue = None
oldtime = None
for record in report._qemu_timings._records:
if oldvalue is not None:
cpudelta = (record._value - oldvalue) / 1000.0
timedelta = record._timestamp - oldtime
if timedelta == 0:
continue
util = cpudelta / timedelta * 100.0
else:
util = 0
oldvalue = record._value
oldtime = record._timestamp
if util > maxvalue:
maxvalue = util
return maxvalue
def _get_total_guest_cpu_graph(self, report, starttime):
xaxis = []
yaxis = []
labels = []
progress_idx = -1
for record in report._guest_timings._records:
while ((progress_idx + 1) < len(report._progress_history) and
report._progress_history[progress_idx + 1]._now < record._timestamp):
progress_idx = progress_idx + 1
if progress_idx >= 0:
progress = report._progress_history[progress_idx]
else:
progress = None
xaxis.append(record._timestamp - starttime)
yaxis.append(record._value)
labels.append(self._get_progress_label(progress))
from plotly import graph_objs as go
return go.Scatter(x=xaxis,
y=yaxis,
name="Guest PIDs: %s" % report._scenario._name,
mode='lines',
line={
"dash": "solid",
"color": self._next_color(),
"shape": "linear",
"width": 1
},
text=labels)
def _get_split_guest_cpu_graphs(self, report, starttime):
threads = {}
for record in report._guest_timings._records:
if record._tid in threads:
continue
threads[record._tid] = {
"xaxis": [],
"yaxis": [],
"labels": [],
}
progress_idx = -1
for record in report._guest_timings._records:
while ((progress_idx + 1) < len(report._progress_history) and
report._progress_history[progress_idx + 1]._now < record._timestamp):
progress_idx = progress_idx + 1
if progress_idx >= 0:
progress = report._progress_history[progress_idx]
else:
progress = None
threads[record._tid]["xaxis"].append(record._timestamp - starttime)
threads[record._tid]["yaxis"].append(record._value)
threads[record._tid]["labels"].append(self._get_progress_label(progress))
graphs = []
from plotly import graph_objs as go
for tid in threads.keys():
graphs.append(
go.Scatter(x=threads[tid]["xaxis"],
y=threads[tid]["yaxis"],
name="PID %s: %s" % (tid, report._scenario._name),
mode="lines",
line={
"dash": "solid",
"color": self._next_color(),
"shape": "linear",
"width": 1
},
text=threads[tid]["labels"]))
return graphs
def _get_migration_iters_graph(self, report, starttime):
xaxis = []
yaxis = []
labels = []
for progress in report._progress_history:
xaxis.append(progress._now - starttime)
yaxis.append(0)
labels.append(self._get_progress_label(progress))
from plotly import graph_objs as go
return go.Scatter(x=xaxis,
y=yaxis,
text=labels,
name="Migration iterations",
mode="markers",
marker={
"color": self._next_color(),
"symbol": "star",
"size": 5
})
def _get_qemu_cpu_graph(self, report, starttime):
xaxis = []
yaxis = []
labels = []
progress_idx = -1
first = report._qemu_timings._records[0]
abstimestamps = [first._timestamp]
absvalues = [first._value]
for record in report._qemu_timings._records[1:]:
while ((progress_idx + 1) < len(report._progress_history) and
report._progress_history[progress_idx + 1]._now < record._timestamp):
progress_idx = progress_idx + 1
if progress_idx >= 0:
progress = report._progress_history[progress_idx]
else:
progress = None
oldvalue = absvalues[-1]
oldtime = abstimestamps[-1]
cpudelta = (record._value - oldvalue) / 1000.0
timedelta = record._timestamp - oldtime
if timedelta == 0:
continue
util = cpudelta / timedelta * 100.0
abstimestamps.append(record._timestamp)
absvalues.append(record._value)
xaxis.append(record._timestamp - starttime)
yaxis.append(util)
labels.append(self._get_progress_label(progress))
from plotly import graph_objs as go
return go.Scatter(x=xaxis,
y=yaxis,
yaxis="y2",
name="QEMU: %s" % report._scenario._name,
mode='lines',
line={
"dash": "solid",
"color": self._next_color(),
"shape": "linear",
"width": 1
},
text=labels)
def _get_vcpu_cpu_graphs(self, report, starttime):
threads = {}
for record in report._vcpu_timings._records:
if record._tid in threads:
continue
threads[record._tid] = {
"xaxis": [],
"yaxis": [],
"labels": [],
"absvalue": [record._value],
"abstime": [record._timestamp],
}
progress_idx = -1
for record in report._vcpu_timings._records:
while ((progress_idx + 1) < len(report._progress_history) and
report._progress_history[progress_idx + 1]._now < record._timestamp):
progress_idx = progress_idx + 1
if progress_idx >= 0:
progress = report._progress_history[progress_idx]
else:
progress = None
oldvalue = threads[record._tid]["absvalue"][-1]
oldtime = threads[record._tid]["abstime"][-1]
cpudelta = (record._value - oldvalue) / 1000.0
timedelta = record._timestamp - oldtime
if timedelta == 0:
continue
util = cpudelta / timedelta * 100.0
if util > 100:
util = 100
threads[record._tid]["absvalue"].append(record._value)
threads[record._tid]["abstime"].append(record._timestamp)
threads[record._tid]["xaxis"].append(record._timestamp - starttime)
threads[record._tid]["yaxis"].append(util)
threads[record._tid]["labels"].append(self._get_progress_label(progress))
graphs = []
from plotly import graph_objs as go
for tid in threads.keys():
graphs.append(
go.Scatter(x=threads[tid]["xaxis"],
y=threads[tid]["yaxis"],
yaxis="y2",
name="VCPU %s: %s" % (tid, report._scenario._name),
mode="lines",
line={
"dash": "solid",
"color": self._next_color(),
"shape": "linear",
"width": 1
},
text=threads[tid]["labels"]))
return graphs
def _generate_chart_report(self, report):
graphs = []
starttime = self._find_start_time(report)
if self._total_guest_cpu:
graphs.append(self._get_total_guest_cpu_graph(report, starttime))
if self._split_guest_cpu:
graphs.extend(self._get_split_guest_cpu_graphs(report, starttime))
if self._qemu_cpu:
graphs.append(self._get_qemu_cpu_graph(report, starttime))
if self._vcpu_cpu:
graphs.extend(self._get_vcpu_cpu_graphs(report, starttime))
if self._migration_iters:
graphs.append(self._get_migration_iters_graph(report, starttime))
return graphs
def _generate_annotation(self, starttime, progress):
return {
"text": progress._status,
"x": progress._now - starttime,
"y": 10,
}
def _generate_annotations(self, report):
starttime = self._find_start_time(report)
annotations = {}
started = False
for progress in report._progress_history:
if progress._status == "setup":
continue
if progress._status not in annotations:
annotations[progress._status] = self._generate_annotation(starttime, progress)
return annotations.values()
def _generate_chart(self):
from plotly.offline import plot
from plotly import graph_objs as go
graphs = []
yaxismax = 0
yaxismax2 = 0
for report in self._reports:
graphs.extend(self._generate_chart_report(report))
maxvalue = self._get_guest_max_value(report)
if maxvalue > yaxismax:
yaxismax = maxvalue
maxvalue = self._get_qemu_max_value(report)
if maxvalue > yaxismax2:
yaxismax2 = maxvalue
yaxismax += 100
if not self._qemu_cpu:
yaxismax2 = 110
yaxismax2 += 10
annotations = []
if self._migration_iters:
for report in self._reports:
annotations.extend(self._generate_annotations(report))
layout = go.Layout(title="Migration comparison",
xaxis={
"title": "Wallclock time (secs)",
"showgrid": False,
},
yaxis={
"title": "Memory update speed (ms/GB)",
"showgrid": False,
"range": [0, yaxismax],
},
yaxis2={
"title": "Hostutilization (%)",
"overlaying": "y",
"side": "right",
"range": [0, yaxismax2],
"showgrid": False,
},
annotations=annotations)
figure = go.Figure(data=graphs, layout=layout)
return plot(figure,
show_link=False,
include_plotlyjs=False,
output_type="div")
def _generate_report(self):
pieces = []
for report in self._reports:
pieces.append("""
<h3>Report %s</h3>
<table>
""" % report._scenario._name)
pieces.append("""
<tr class="subhead">
<th colspan="2">Test config</th>
</tr>
<tr>
<th>Emulator:</th>
<td>%s</td>
</tr>
<tr>
<th>Kernel:</th>
<td>%s</td>
</tr>
<tr>
<th>Ramdisk:</th>
<td>%s</td>
</tr>
<tr>
<th>Transport:</th>
<td>%s</td>
</tr>
<tr>
<th>Host:</th>
<td>%s</td>
</tr>
""" % (report._binary, report._kernel,
report._initrd, report._transport, report._dst_host))
hardware = report._hardware
pieces.append("""
<tr class="subhead">
<th colspan="2">Hardware config</th>
</tr>
<tr>
<th>CPUs:</th>
<td>%d</td>
</tr>
<tr>
<th>RAM:</th>
<td>%d GB</td>
</tr>
<tr>
<th>Source CPU bind:</th>
<td>%s</td>
</tr>
<tr>
<th>Source RAM bind:</th>
<td>%s</td>
</tr>
<tr>
<th>Dest CPU bind:</th>
<td>%s</td>
</tr>
<tr>
<th>Dest RAM bind:</th>
<td>%s</td>
</tr>
<tr>
<th>Preallocate RAM:</th>
<td>%s</td>
</tr>
<tr>
<th>Locked RAM:</th>
<td>%s</td>
</tr>
<tr>
<th>Huge pages:</th>
<td>%s</td>
</tr>
""" % (hardware._cpus, hardware._mem,
",".join(hardware._src_cpu_bind),
",".join(hardware._src_mem_bind),
",".join(hardware._dst_cpu_bind),
",".join(hardware._dst_mem_bind),
"yes" if hardware._prealloc_pages else "no",
"yes" if hardware._locked_pages else "no",
"yes" if hardware._huge_pages else "no"))
scenario = report._scenario
pieces.append("""
<tr class="subhead">
<th colspan="2">Scenario config</th>
</tr>
<tr>
<th>Max downtime:</th>
<td>%d milli-sec</td>
</tr>
<tr>
<th>Max bandwidth:</th>
<td>%d MB/sec</td>
</tr>
<tr>
<th>Max iters:</th>
<td>%d</td>
</tr>
<tr>
<th>Max time:</th>
<td>%d secs</td>
</tr>
<tr>
<th>Pause:</th>
<td>%s</td>
</tr>
<tr>
<th>Pause iters:</th>
<td>%d</td>
</tr>
<tr>
<th>Post-copy:</th>
<td>%s</td>
</tr>
<tr>
<th>Post-copy iters:</th>
<td>%d</td>
</tr>
<tr>
<th>Auto-converge:</th>
<td>%s</td>
</tr>
<tr>
<th>Auto-converge iters:</th>
<td>%d</td>
</tr>
<tr>
<th>MT compression:</th>
<td>%s</td>
</tr>
<tr>
<th>MT compression threads:</th>
<td>%d</td>
</tr>
<tr>
<th>XBZRLE compression:</th>
<td>%s</td>
</tr>
<tr>
<th>XBZRLE compression cache:</th>
<td>%d%% of RAM</td>
</tr>
""" % (scenario._downtime, scenario._bandwidth,
scenario._max_iters, scenario._max_time,
"yes" if scenario._pause else "no", scenario._pause_iters,
"yes" if scenario._post_copy else "no", scenario._post_copy_iters,
"yes" if scenario._auto_converge else "no", scenario._auto_converge_step,
"yes" if scenario._compression_mt else "no", scenario._compression_mt_threads,
"yes" if scenario._compression_xbzrle else "no", scenario._compression_xbzrle_cache))
pieces.append("""
</table>
""")
return "\n".join(pieces)
def _generate_style(self):
return """
#report table tr th {
text-align: right;
}
#report table tr td {
text-align: left;
}
#report table tr.subhead th {
background: rgb(192, 192, 192);
text-align: center;
}
"""
def generate_html(self, fh):
print("""<html>
<head>
<script type="text/javascript" src="plotly.min.js">
</script>
<style type="text/css">
%s
</style>
<title>Migration report</title>
</head>
<body>
<h1>Migration report</h1>
<h2>Chart summary</h2>
<div id="chart">
""" % self._generate_style(), file=fh)
print(self._generate_chart(), file=fh)
print("""
</div>
<h2>Report details</h2>
<div id="report">
""", file=fh)
print(self._generate_report(), file=fh)
print("""
</div>
</body>
</html>
""", file=fh)
def generate(self, filename):
if filename is None:
self.generate_html(sys.stdout)
else:
with open(filename, "w") as fh:
self.generate_html(fh)