pungi/pungi/profiler.py
Haibo Lin 41a629969c Format code base with black
https://black.readthedocs.io/en/stable/

JIRA: COMPOSE-4086
Signed-off-by: Haibo Lin <hlin@redhat.com>
2020-02-05 17:35:47 +08:00

79 lines
1.9 KiB
Python

# -*- coding: utf-8 -*-
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; version 2 of the License.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Library General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, see <https://gnu.org/licenses/>.
"""
Simple profiler that collects time spent in functions
or code blocks and also call counts.
Usage
=====
@Profiler("label1")
def func():
...
or
with Profiler("label2"):
...
To print profiling data, run:
Profiler.print_results()
"""
from __future__ import print_function
import functools
import sys
import time
class Profiler(object):
_data = {}
def __init__(self, name):
self.name = name
self._data.setdefault(name, {"time": 0, "calls": 0})
def __enter__(self):
self.start = time.time()
def __exit__(self, ty, val, tb):
delta = time.time() - self.start
self._data[self.name]["time"] += delta
self._data[self.name]["calls"] += 1
def __call__(self, func):
@functools.wraps(func)
def decorated(*args, **kwargs):
with self:
return func(*args, **kwargs)
return decorated
@classmethod
def print_results(cls, stream=sys.stdout):
print("Profiling results:", file=sys.stdout)
results = cls._data.items()
results = sorted(results, key=lambda x: x[1]["time"], reverse=True)
for name, data in results:
print(
" %6.2f %5d %s" % (data["time"], data["calls"], name), file=sys.stdout
)