def print_summary(mode, array, array_name, unit, df, item_value=None):
if (utils.print_level & utils.Levels.SUMMARY) and (len(array) > 0):
result = []
before = ""
after = ""
RED = "\033[1;31m"
ORANGE = "\033[1;33m"
WHITE = "\033[1;m"
GREEN = "\033[1;32m"
for host in array:
result.append(df[host].sum())
if "unstable" in array_name:
before = RED
after = WHITE
if "curious" in array_name:
before = ORANGE
after = WHITE
mean = numpy.mean(result)
perf_status = ""
if array_name == "consistent":
if item_value is not None:
if mode == "loops_per_sec" or mode == "bogomips":
min_cpu_perf = perf_cpu_tables.get_cpu_min_perf(mode, item_value)
if min_cpu_perf == 0:
perf_status = ": " + ORANGE + "NO PERF ENTRY IN DB" + WHITE + " for " + item_value
elif (mean >= min_cpu_perf):
perf_status = ": " + GREEN + "PERF OK" + WHITE
else:
perf_status = ": " + RED + "PERF FAIL" + WHITE + " as min perf should have been : " + str(min_cpu_perf)
utils.do_print(mode, utils.Levels.SUMMARY, "%3d %s%-10s%s hosts with %8.2f %-4s as average value and %8.2f standard deviation %s", len(array), before, array_name, after, mean, unit, numpy.std(result), perf_status)
def print_summary(mode, array, array_name, unit, df, item_value=None):
if (utils.print_level & utils.Levels.SUMMARY) and (len(array) > 0):
result = []
before = ""
after = ""
RED = "\033[1;31m"
ORANGE = "\033[1;33m"
WHITE = "\033[1;m"
GREEN = "\033[1;32m"
for host in array:
result.append(df[host].sum())
if "unstable" in array_name:
before = RED
after = WHITE
if "curious" in array_name:
before = ORANGE
after = WHITE
mean = numpy.mean(result)
perf_status = ""
if array_name == "consistent":
if item_value is not None:
if mode == "loops_per_sec" or mode == "bogomips":
min_cpu_perf = perf_cpu_tables.get_cpu_min_perf(mode, item_value)
if min_cpu_perf == 0:
perf_status = ": " + ORANGE + "NO PERF ENTRY IN DB" + WHITE + " for " + item_value
elif (mean >= min_cpu_perf):
perf_status = ": " + GREEN + "PERF OK" + WHITE
else:
perf_status = ": " + RED + "PERF FAIL" + WHITE + " as min perf should have been : " + str(min_cpu_perf)
utils.do_print(mode, utils.Levels.SUMMARY, "%3d %s%-10s%s hosts with %8.2f %-4s as average value and %8.2f standard deviation %s", len(array), before, array_name, after, mean, unit, numpy.std(result), perf_status)
def test_cpu4(self):
cpu_type = "Intel(R) Leon(R) CPU E7-2750 0 @ 2.20GHz"
cpu_perf = perf_cpu_tables.get_cpu_min_perf("loops_per_sec", cpu_type)
self.assertEqual(cpu_perf, 0)
def test_cpu1(self):
cpu_type = "Intel(R) Xeon(R) CPU E5-2650 0 @ 2.20GHz"
cpu_perf = perf_cpu_tables.get_cpu_min_perf("loops_per_sec", cpu_type)
self.assertEqual(cpu_perf, 420)