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