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#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Public Domain 2014-present MongoDB, Inc.
# Public Domain 2008-2014 WiredTiger, Inc.
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
# binary, for any purpose, commercial or non-commercial, and by any
# means.
#
# In jurisdictions that recognize copyright laws, the author or authors
# of this software dedicate any and all copyright interest in the
# software to the public domain. We make this dedication for the benefit
# of the public at large and to the detriment of our heirs and
# successors. We intend this dedication to be an overt act of
# relinquishment in perpetuity of all present and future rights to this
# software under copyright law.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
# OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
# ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
# OTHER DEALINGS IN THE SOFTWARE.
import re
from perf_stat import PerfStat
def find_stat(test_stat_path: str, pattern: str, position_of_value: int):
for line in open(test_stat_path):
match = re.match(pattern, line)
if match:
return float(line.split()[position_of_value])
return 0
class PerfStatCollection:
def __init__(self):
self.perf_stats = {}
def add_stat(self, perf_stat: PerfStat):
self.perf_stats[perf_stat.short_label] = perf_stat
def find_stats(self, test_stat_path: str):
for stat in self.perf_stats.values():
value = find_stat(test_stat_path=test_stat_path,
pattern=stat.pattern,
position_of_value=stat.input_offset)
stat.add_value(value=value)
def to_value_list(self, brief: bool):
as_list = []
for stat in self.perf_stats.values():
if not stat.are_values_all_zero():
as_dict = {
'name': stat.output_label,
'value': stat.get_core_average()
}
if not brief:
as_dict['values'] = stat.values
as_list.append(as_dict)
return as_list
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