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# Copyright 2017 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import collections
def _threshold_for_count_below(buckets, boundaries, count_below):
count_so_far = 0
for lower_idx in range(0, len(buckets)):
count_so_far += buckets[lower_idx]
if count_so_far >= count_below:
break
if count_so_far == count_below:
# this bucket hits the threshold exactly... we should be midway through
# any run of zero values following the bucket
for upper_idx in range(lower_idx + 1, len(buckets)):
if buckets[upper_idx] != 0:
break
return (boundaries[lower_idx] + boundaries[upper_idx]) / 2.0
else:
# treat values as uniform throughout the bucket, and find where this value
# should lie
lower_bound = boundaries[lower_idx]
upper_bound = boundaries[lower_idx + 1]
return (upper_bound - (upper_bound - lower_bound) *
(count_so_far - count_below) / float(buckets[lower_idx]))
def percentile(buckets, pctl, boundaries):
return _threshold_for_count_below(buckets, boundaries,
sum(buckets) * pctl / 100.0)
def counter(core_stats, name):
for stat in core_stats['metrics']:
if stat['name'] == name:
return int(stat.get('count', 0))
Histogram = collections.namedtuple('Histogram', 'buckets boundaries')
def histogram(core_stats, name):
for stat in core_stats['metrics']:
if stat['name'] == name:
buckets = []
boundaries = []
for b in stat['histogram']['buckets']:
buckets.append(int(b.get('count', 0)))
boundaries.append(int(b.get('start', 0)))
return Histogram(buckets=buckets, boundaries=boundaries)
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