def test_get_range(self):
""" Test a simple plot.
Complex to test anything. Just check that there is no exception. """
from supvisors.plot import StatisticsPlot
# first test
min_range, max_range = StatisticsPlot.get_range([10, 50, 30, 90])
self.assertAlmostEqual(2.0, min_range)
self.assertAlmostEqual(118.0, max_range)
# second test
min_range, max_range = StatisticsPlot.get_range([0, 100])
self.assertAlmostEqual(0.0, min_range)
self.assertAlmostEqual(135.0, max_range)
def test_plot(self):
""" Test a simple plot.
Complex to test anything. Just check that there is no exception. """
from supvisors.plot import StatisticsPlot
from supvisors.viewimage import StatsImage
plot = StatisticsPlot()
self.assertEqual({}, plot.ydata)
# add series of data
plot.add_plot('dummy_title_1', 'unit_1', [1, 2, 3])
plot.add_plot('dummy_title_2', 'unit_2', [10, 20, 30])
self.assertDictEqual(
{
('dummy_title_1', 'unit_1'): [1, 2, 3],
('dummy_title_2', 'unit_2'): [10, 20, 30]
}, plot.ydata)
# export image in buffer
contents = StatsImage()
plot.export_image(contents)
# test that result is a PNG file
self.assertEqual('png', imghdr.what('',
h=contents.contents.getvalue()))
def write_process_statistics(self, root):
""" Display detailed statistics about the selected process. """
stats_elt = root.findmeld('pstats_div_mid')
# get data from statistics module iaw period selection
if ViewHandler.namespec_stats:
nbcores, proc_stats = self.get_process_stats(
ViewHandler.namespec_stats)
if proc_stats and (len(proc_stats[0]) > 0 or \
len(proc_stats[1]) > 0):
# set titles
elt = stats_elt.findmeld('process_h_mid')
elt.content(ViewHandler.namespec_stats)
# set CPU statistics
if len(proc_stats[0]) > 0:
avg, rate, (a, b), dev = get_stats(proc_stats[0])
# print last CPU value of process
elt = stats_elt.findmeld('pcpuval_td_mid')
if rate is not None:
self.set_slope_class(elt, rate)
cpuvalue = proc_stats[0][-1]
if not self.supvisors.options.stats_irix_mode:
cpuvalue /= nbcores
elt.content('{:.2f}%'.format(cpuvalue))
# set mean value
elt = stats_elt.findmeld('pcpuavg_td_mid')
elt.content('{:.2f}'.format(avg))
if a is not None:
# set slope value between last 2 values
elt = stats_elt.findmeld('pcpuslope_td_mid')
elt.content('{:.2f}'.format(a))
if dev is not None:
# set standard deviation
elt = stats_elt.findmeld('pcpudev_td_mid')
elt.content('{:.2f}'.format(dev))
# set MEM statistics
if len(proc_stats[1]) > 0:
avg, rate, (a, b), dev = get_stats(proc_stats[1])
# print last MEM value of process
elt = stats_elt.findmeld('pmemval_td_mid')
if rate is not None:
self.set_slope_class(elt, rate)
elt.content('{:.2f}%'.format(proc_stats[1][-1]))
# set mean value
elt = stats_elt.findmeld('pmemavg_td_mid')
elt.content('{:.2f}'.format(avg))
if a is not None:
# set slope value between last 2 values
elt = stats_elt.findmeld('pmemslope_td_mid')
elt.content('{:.2f}'.format(a))
if dev is not None:
# set standard deviation
elt = stats_elt.findmeld('pmemdev_td_mid')
elt.content('{:.2f}'.format(dev))
# write CPU / Memory plots
try:
from supvisors.plot import StatisticsPlot
# build CPU image
cpu_img = StatisticsPlot()
cpu_img.add_plot('CPU', '%', proc_stats[0])
cpu_img.export_image(process_cpu_image)
# build Memory image
mem_img = StatisticsPlot()
mem_img.add_plot('MEM', '%', proc_stats[1])
mem_img.export_image(process_mem_image)
except ImportError:
self.logger.warn("matplotlib module not found")
else:
if ViewHandler.namespec_stats:
self.logger.warn(
'unselect Process Statistics for {}'.format(
ViewHandler.namespec_stats))
ViewHandler.namespec_stats = ''
# remove stats part if empty
if not ViewHandler.namespec_stats:
stats_elt.replace('')
def write_contents(self, root):
""" Rendering of tables and figures for address statistics. """
# get data from statistics module iaw period selection
stats_instance = self.get_address_stats()
self.write_memory_statistics(root, stats_instance.mem)
self.write_processor_statistics(root, stats_instance.cpu)
self.write_network_statistics(root, stats_instance.io)
# write CPU / Memory / Network plots
try:
from supvisors.plot import StatisticsPlot
# build CPU image
cpu_img = StatisticsPlot()
cpu_img.add_plot('CPU #{}'.format(self.cpu_id_to_string(HostAddressView.cpu_id_stats)), '%',
stats_instance.cpu[HostAddressView.cpu_id_stats])
cpu_img.export_image(address_cpu_image)
# build Memory image
mem_img = StatisticsPlot()
mem_img.add_plot('MEM', '%', stats_instance.mem)
mem_img.export_image(address_mem_image)
# build Network image
if HostAddressView.interface_stats:
io_img = StatisticsPlot()
io_img.add_plot('{} recv'.format(HostAddressView.interface_stats), 'kbits/s',
stats_instance.io[HostAddressView.interface_stats][0])
io_img.add_plot('{} sent'.format(HostAddressView.interface_stats), 'kbits/s',
stats_instance.io[HostAddressView.interface_stats][1])
io_img.export_image(address_io_image)
except ImportError:
self.logger.warn("matplotlib module not found")
def write_process_statistics(self, root):
""" Display detailed statistics about the selected process. """
stats_elt = root.findmeld('pstats_div_mid')
# get data from statistics module iaw period selection
if ViewHandler.namespec_stats:
nbcores, proc_stats = self.get_process_stats(
ViewHandler.namespec_stats)
if proc_stats and (len(proc_stats[0]) > 0 or \
len(proc_stats[1]) > 0):
# set titles
elt = stats_elt.findmeld('process_h_mid')
elt.content(ViewHandler.namespec_stats)
# set CPU statistics
if len(proc_stats[0]) > 0:
avg, rate, (a, b), dev = get_stats(proc_stats[0])
# print last CPU value of process
elt = stats_elt.findmeld('pcpuval_td_mid')
if rate is not None:
self.set_slope_class(elt, rate)
cpuvalue = proc_stats[0][-1]
if not self.supvisors.options.stats_irix_mode:
cpuvalue /= nbcores
elt.content('{:.2f}%'.format(cpuvalue))
# set mean value
elt = stats_elt.findmeld('pcpuavg_td_mid')
elt.content('{:.2f}'.format(avg))
if a is not None:
# set slope value between last 2 values
elt = stats_elt.findmeld('pcpuslope_td_mid')
elt.content('{:.2f}'.format(a))
if dev is not None:
# set standard deviation
elt = stats_elt.findmeld('pcpudev_td_mid')
elt.content('{:.2f}'.format(dev))
# set MEM statistics
if len(proc_stats[1]) > 0:
avg, rate, (a, b), dev = get_stats(proc_stats[1])
# print last MEM value of process
elt = stats_elt.findmeld('pmemval_td_mid')
if rate is not None:
self.set_slope_class(elt, rate)
elt.content('{:.2f}%'.format(proc_stats[1][-1]))
# set mean value
elt = stats_elt.findmeld('pmemavg_td_mid')
elt.content('{:.2f}'.format(avg))
if a is not None:
# set slope value between last 2 values
elt = stats_elt.findmeld('pmemslope_td_mid')
elt.content('{:.2f}'.format(a))
if dev is not None:
# set standard deviation
elt = stats_elt.findmeld('pmemdev_td_mid')
elt.content('{:.2f}'.format(dev))
# write CPU / Memory plots
try:
from supvisors.plot import StatisticsPlot
# build CPU image
cpu_img = StatisticsPlot()
cpu_img.add_plot('CPU', '%', proc_stats[0])
cpu_img.export_image(process_cpu_image)
# build Memory image
mem_img = StatisticsPlot()
mem_img.add_plot('MEM', '%', proc_stats[1])
mem_img.export_image(process_mem_image)
except ImportError:
self.logger.warn("matplotlib module not found")
else:
if ViewHandler.namespec_stats:
self.logger.warn('unselect Process Statistics for {}'
.format(ViewHandler.namespec_stats))
ViewHandler.namespec_stats = ''
# remove stats part if empty
if not ViewHandler.namespec_stats:
stats_elt.replace('')
def test_TODO(self):
""" Test the values set at construction. """
from supvisors.plot import StatisticsPlot
plot = StatisticsPlot()
self.assertIsNotNone(plot)