def __print_query_times(self, data):
""" print data to the user, expecting datetime keys and list(int) values """
timings = perc.Stats([q[1] for q in self.queries])
window = timings.percentile(25) - 1
window2 = timings.percentile(50) - 1
window3 = timings.percentile(75) - 1
window4 = timings.percentile(99) - 1
print(". <%sms + >%sms ! >%sms X >%sms" % (window, window2, window3, window4))
print('-'*30)
worst = None
for time, qtimes in data:
total = sum(qtimes)
if not worst:
worst = (time, total)
elif total > worst[1]:
worst = (time, total)
print(time, ' ', end='')
for qtime in qtimes:
c = '.'
if qtime > window2:
c = '+'
if qtime > window3:
c = '!'
if qtime > window4:
c = 'X'
print(c, end='')
print('')
print('')
print('worst period: %s (%sms)' % worst)
print('')
def get_percentiles(label,
data_list,
strformat="%.2f",
pmin=True,
pmax=True,
reverse=False,
percentiles=(99, 75, 50, 25)):
""" gets formatted percentiles using numpy from data in a list """
np_array = perc.Stats(data_list)
printables = [label]
if pmax:
printables.append((strformat % np_array.max()))
for p in percentiles:
printables.append((strformat % np_array.percentile(p)))
if pmin:
printables.append((strformat % np_array.min()))
if reverse:
printables = list(reversed(printables))
return printables
def print_percentiles(label,
data_list,
indent=11,
width=8,
strformat="%.2f",
pmin=True,
pmax=True,
reverse=False,
percentiles=(99, 75, 50, 25)):
""" prints formatted percentiles using numpy from data in a list """
np_array = perc.Stats(data_list)
printables = [label.ljust(indent)]
if pmax:
printables.append((strformat % np_array.max()).ljust(width))
for p in percentiles:
printables.append((strformat % np_array.percentile(p)).ljust(width))
if pmin:
printables.append((strformat % np_array.min()).ljust(width))
if reverse:
printables = reversed(printables)
print("".join(printables))
