benchmark-result-collector/make_graphs.py

#!/usr/bin/env python3

"""
Python module to automatically analyze benchmark results
"""

import csv
import os
import abc
import multiprocessing
import matplotlib.pyplot as pplot
import sentry_sdk

sentry_sdk.init("https://c1a84042595b448b94681750523dcc34@sentry.kmlabz.com/20")


def average(lst: list) -> float:
    """
    Agerage of list
    :param lst:
    :return:
    """
    return sum(lst) / len(lst)


def keychars(x):
    """
    Return hey partnumber
    :param x:
    :return:
    """
    return int(x.split('.')[1])


class Analyzer(abc.ABC):
    """
    Very abstract analyzer
    """

    def __init__(self, typeof='.csv'):
        self.type = typeof

    def getfiles(self, directory: str = '.') -> list:
        """
        Returns a list of csv files in directory
        :param directory:
        :return:
        """
        return [(directory + '/' + filename) for filename in os.listdir(directory) if filename.endswith(self.type)]

    def processfile(
            self,
            fname: str,
            shouldprint: bool = False) -> None:
        pass

    def processallfiles(self, directory: str = '.') -> None:
        """
        Process all files in a directory
        :param directory:
        :return:
        """
        files = sorted(self.getfiles(directory), key=keychars)
        for f in files:
            self.processfile(f, False)


class CsvAnalyzer(Analyzer):
    """
    Abstract CSV analyzer
    """

    def __init__(self):
        """
        Init object
        """
        super().__init__()
        self.responsespersec = []
        self.latencypersec = []

    def walkresponsepersec(
            self,
            responsepersec: dict,
            shouldprint: bool) -> None:
        """
        Walks through reponsepersec dict
        :param responsepersec:
        :param shouldprint:
        :return:
        """
        for sec in responsepersec:
            if len(responsepersec[sec]) != 0:
                self.responsespersec.append(len(responsepersec[sec]))
                self.latencypersec.append(average(responsepersec[sec]))
                if shouldprint:
                    print(len(responsepersec[sec]))
                    print(average(responsepersec[sec]))


class HeyAnalyzer(CsvAnalyzer):
    """
    Analyze hey benchmark output.
    """

    def __init__(self):
        """
        Init object
        """
        super().__init__()

    def processfile(
            self,
            fname,
            shouldprint: bool = False):
        """
        Process a single file.
        :param fname:
        :param shouldprint:
        :return:
        """
        with open(fname, 'r') as f:
            data = csv.reader(f)
            fields = next(data)
            responsepersec = {}
            for row in data:
                items = zip(fields, row)
                item = {}
                for (name, value) in items:
                    item[name] = value.strip()
                sec = int(item['offset'].split('.')[0])
                if sec not in responsepersec:
                    responsepersec[sec] = []
                else:
                    responsepersec[sec].append(float(item['response-time']))
            self.walkresponsepersec(responsepersec, shouldprint)


class ChartCreator:
    """
    Create charts automagically
    """

    @staticmethod
    def savetxtplot(csvfile: CsvAnalyzer, directory) -> None:
        """
        Save raw data to txt
        :param directory:
        :param csvfile:
        :return:
        """
        with open(os.getenv('TEXTDIR', default='.') + '/' + directory + "-rps.txt", 'w') as f:
            for item in csvfile.responsespersec:
                f.write("%s\n" % item)
        with open(os.getenv('TEXTDIR', default='.') + '/' + directory + "-latency.txt", 'w') as f:
            for item in csvfile.latencypersec:
                f.write("%s\n" % item)

    @staticmethod
    def savecsvplot(csvfile: CsvAnalyzer, directory) -> None:
        """
        Save plot of csv file
        :param csvfile:
        :param directory:
        :return:
        """
        pplot.plot(csvfile.responsespersec)
        pplot.title(directory)
        pplot.xlabel("Time (seconds)")
        pplot.ylabel("Response/sec")
        pplot.savefig(
            os.getenv(
                'CHARTDIR',
                default='.') +
            '/' +
            directory +
            "-rps.png")
        pplot.clf()
        pplot.plot(csvfile.latencypersec)
        pplot.title(directory)
        pplot.xlabel("Time (seconds)")
        pplot.ylabel("Response time (milliseconds)")
        pplot.savefig(
            os.getenv(
                'CHARTDIR',
                default='.') +
            '/' +
            directory +
            "-latency.png")
        pplot.clf()
        print("latency min, max, avg")
        print(min(csvfile.latencypersec))
        print(max(csvfile.latencypersec))
        print(average(csvfile.latencypersec))
        print("Charted " + directory)

    @staticmethod
    def analyze_hey(abs_directory, directory):
        """
        Analyze hey output
        :param abs_directory:
        :param directory:
        :return:
        """
        hey = HeyAnalyzer()
        hey.processallfiles(abs_directory)
        ChartCreator.savecsvplot(hey, directory)
        ChartCreator.savetxtplot(hey, directory)

    def doallruns(self):
        """
        Process all directories in repo
        :return:
        """
        dirs = next(os.walk(os.getenv('SEARCHDIR', default='.')))[1]
        jobs = []
        for directory in dirs:
            abs_directory = os.getenv(
                'SEARCHDIR', default='.') + '/' + directory
            print(abs_directory)
            process = multiprocessing.Process(
                target=ChartCreator.analyze_hey, args=(
                    abs_directory, directory,))


if __name__ == "__main__":
    """
    Entry point
    """
    chartcreator = ChartCreator()
    chartcreator.doallruns()