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cgrp util release 1.0.1, initial commit
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rbutley committed Sep 7, 2020
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6 changes: 6 additions & 0 deletions .gitignore
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build/*
cgrputil.egg-info/*
venv/*
dist/*
build.txt
test.py
21 changes: 21 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2020 Rushikesh Butley

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

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 OR COPYRIGHT HOLDERS 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.
70 changes: 70 additions & 0 deletions README.md
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# cgrputil
[![image](https://img.shields.io/pypi/v/py-package-template.svg)](https://pypi.org/project/cgrputil/)
[![Downloads](https://pepy.tech/badge/cgrputil)](https://pepy.tech/project/cgrputil)

**cgrputil** is python library to calculate cpu utilisation of code over specific time interval inside docker container.

Usage of the library can vary, Eg. Think about the use case where you want to know how much specific function consume a cpu over specific time and on the basis of that you want to bill the client or draw charts to understand the growing trend of function.

I was struggling with the same problem, & searched all over internet. But i didnt get anything solid,
& all of the docs, the repos i viewed, code i read, almost pointed to docker repo which had calculation formula.
So seeing the problem & number of resources available for such typical problem i decided to create the library.
I wanted solution which is very easy to use and focus on giving end result, so i tried it making as simple as i could.
I hope this helps :) .

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install cgrputil.

```bash
pip install cgrputil
```

## Usage

```python
import cgrputil

'''
Class instantiation expects default param, which will be return in case of any failure
while reading, calculating cpu usage. We suggest to send this value as maxm number of
cores allocated to container.
This value can be pass in two ways either passing it while class instantiation, which is in
example below i.e 3 or setting it inside env variable `RES_CPU_LIMIT`.
Library will fist check for the value pass and then for the env variable, on of them is mandatory
else exception will be raised.
'''
cpu = cgrputil.cpuutilisation(3)


#From this point, it will calculate the cpu utilisation
cpu.start_time()

activity_you_want_to_calculate_cpu_usage()

#Until this point cpu usage will be calculated
cpu.end_time()

'''
This will return the aprox cpu cores used while executing in between start time and end time.
Return format is float. So if it returns 2.3 that means above function have consumed 2.3 cores
out of all the cores available on the host or you can say 2.3 cores out of 3
cores (3 assuming maximum cores allocated to container).
Function returns two values, first is list of errs or exception occured while calculating cpu usage.
Second the actual usage value. If the errs list is not empty it will most likely to return the
default value passed while initiating the class. Ex. cpu = cgrputil.cpuutilisation(3) which is 3 here.
'''
errs, cores_used = cpu.get_core_utilisation()
if errs is not None:
for err in errs:
print(err)
print('Utilisation : ', cores_used)
else:
print('Utilisation : ', cores_used)
```

## Contributing
Pull requests are welcome. For any changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.
6 changes: 6 additions & 0 deletions cgrputil/__init__.py
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'''
Cgrputil is the library for people, who wants to calculate the cpu utilisation
of container for period of time without taking heachache ;).
More in README.md on how to use it effectively.
'''
from .cgrputil import *
144 changes: 144 additions & 0 deletions cgrputil/cgrputil.py
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import os
import traceback
import time

CGRP_CPU_LIMIT = 'RES_CPU_LIMIT'

class cpuutilisation:
def __init__(self, cpu_limit=None):
'''
Initate the object for calculating cpu utilisation.
If it fails to calculate, in any case it will return value pass
while initiating the class or it will try to get value from env variable
RES_CPU_LIMIT. One of them is mandatory.
'''
self.cgrp_init_cycles, self.cgrp_end_cycles = 0, 0
self.sys_init_cycles, self.sys_end_cycles = 0, 0
self.no_of_host_cores = 0
self.errors = []
if cpu_limit is not None:
self.cgrp_cpu_limit = cpu_limit
else:
try:
self.cgrp_cpu_limit = os.environ[CGRP_CPU_LIMIT]
except Exception as e:
raise Exception('No cpu limit specified while initiating class or set in env variable {}'.format(e))
def get_no_of_cores_host(self):
'''
Get total number of cores on host machine
'''
cpu_info = '/proc/cpuinfo'
try:
with open(cpu_info, 'r') as cpus:
lscpu = cpus.readlines()
cores = 0
for cpu in lscpu:
if 'processor' in cpu: #count as core if processor exists in line
cores += 1
return int(cores)
except Exception as e:
err = 'Unable to read number of Cores from System :- {}'.format(e)
self.errors.append(err)
# print(err)
# traceback.print_exc()
def get_cpu_usage_cgrp(self):
'''
Read the cpu cycles of cgroup,
'''
file = '/sys/fs/cgroup/cpu,cpuacct/cpuacct.usage_percpu'
try:
with open(file, 'r') as usage_percpu:
all_cores = usage_percpu.readlines()[0].split()
total_cgrpcpu_cycles = 0
for core in all_cores: total_cgrpcpu_cycles += int(core)
return total_cgrpcpu_cycles
except Exception as e:
err = 'Exception occured while get per cpu cgrp usage :- {}'.format(e)
self.errors.append(err)
#print(err)
# traceback.print_exc()

def get_cpu_usage_host(self):
'''
Read the cpu cycles from of host.
'''
try:
sys_stat = '/proc/stat'
with open(sys_stat, 'r') as sys:
stat = sys.readlines()[0].split() #system wide cpu usage all cores
system_stat = 0
for x in stat[1:]:
system_stat += int(x)
return int(system_stat)
except Exception as e:
err = 'Exception occured duing getting system usage cycle :- {}'.format(e)
self.errors.append(err)
# print(err)
# traceback.print_exc()
def get_core_utilisation(self):
'''
> If it fails to calculate the usage, it return the default value defined in
passed while initiating the class, core_utilisation else value from env variable 'RES_CPU_LIMIT'.
Calculates the delta of cpu usage between start time & end time.
returns the Float value. If total cores in system are 10 and it returns
2.3 that means, function have used 2.3 cores on an average, which translates
to around 2300m in terms, if one checks in docker stats.
'''
try:
self.no_of_host_cores = self.get_no_of_cores_host()
cores_used = float((self.cgrp_end_cycles - self.cgrp_init_cycles)/(self.sys_end_cycles - self.sys_init_cycles) * self.no_of_host_cores * 100)/1000000000
return None, float('{:.2f}'.format(cores_used))
except Exception as e:
err = 'Issue occured in cpu utilisation calculation, due to previous errors returning default maximum value set:- {}'.format(self.cgrp_cpu_limit)
self.errors.append(err)
# print(err)
# print('Core utilisation Calculation error, values passed :- {}'.format(vars(cpuutilisation(self.cgrp_cpu_limit))))
# traceback.print_exc()
return self.errors, float(self.cgrp_cpu_limit)

def start_time(self):
'''
Get the start of cgroup cycles and system cycles at point, when this function is called.
Example Usage:
Initate the core class, with default limit if it fails to calculate. Ex. 3
core = cpuutilisation(3)
Call this function before the start of function, you want to calculate cpu usage for
core.start_time()
actual_function_call_here_for_which_cpu_util_need_to_be_calculated()
'''
self.cgrp_init_cycles = self.get_cpu_usage_cgrp()
self.sys_init_cycles = self.get_cpu_usage_host()

def end_time(self):
'''
Get the end of cgroup cycles and system cycles at point, when this function is called.
Example Usage:
Call this at the end of
actual_function_call_here_for_which_cpu_util_need_to_be_calculated()
core.end_time()
Initate the core class, with default limit if it fails to calculate. Ex. 3
core = cpuutilisation(3)
Call this function before the start of function, you want to calculate cpu usage for
core.start_time()
actual_function_call_here_for_which_cpu_util_need_to_be_calculated()
core.end_time()
'''

self.cgrp_end_cycles = self.get_cpu_usage_cgrp()
self.sys_end_cycles = self.get_cpu_usage_host()

def main():
core = cpuutilisation(3)
core.start_time()
time.sleep(3)
#execute function here
core.end_time()
errs, cores = core.get_core_utilisation()
if errs is not None:
for err in errs:
print(err)
print('\n Utilisation : ', cores)
else:
print('Utilisation : ', cores)
if __name__ == "__main__":
main()
33 changes: 33 additions & 0 deletions setup.py
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import setuptools

with open("README.md", "r") as fh:
long_description = fh.read()

setuptools.setup(
name="cgrputil",
version="1.0.1",
author="Rushikesh Butley",
author_email="[email protected]",
description="Package to calculate cpu utilisation in cgroups",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/rushi47/cgrputil",
packages=setuptools.find_packages(),
license="MIT",
classifiers=[
"Environment :: Console",
"Environment :: Other Environment",
"Environment :: Plugins",
"Intended Audience :: Developers",
"Intended Audience :: System Administrators",
"Operating System :: POSIX :: Linux",
"Operating System :: Unix",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Topic :: System",
],
python_requires='>=2.7',
data_files=[('LICENSE', ['LICENSE']),
('README', ['README.md']),
]
)

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