From 84288dd615a43a2e427aae50013f783e21daea94 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Torma=20Krist=C3=B3f?= Date: Wed, 22 Jan 2020 14:34:28 +0100 Subject: [PATCH] init --- Dockerfile | 18 ++ LICENSE | 674 +++++++++++++++++++++++++++++++++++++++++++++++ README.md | 5 + chart_create.py | 475 +++++++++++++++++++++++++++++++++ requirements.txt | 2 + 5 files changed, 1174 insertions(+) create mode 100644 Dockerfile create mode 100644 LICENSE create mode 100644 README.md create mode 100644 chart_create.py create mode 100644 requirements.txt diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..e2163a3 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,18 @@ +FROM python:3 + +WORKDIR /app + +VOLUME /data +VOLUME /chart +VOLUME /text + +ENV SEARCHDIR /data +ENV CHARTDIR /chart +ENV TEXTDIR /text + +COPY requirements.txt . +RUN pip3 install --no-cache-dir -r requirements.txt && rm requirements.txt + +COPY chart_create.py . + +CMD ["python3", "chart_create.py"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..f288702 --- /dev/null +++ b/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/README.md b/README.md new file mode 100644 index 0000000..0f45f50 --- /dev/null +++ b/README.md @@ -0,0 +1,5 @@ +# knative-report-results +Knative Report Benchmark Results and Charts + + +[![Build Status](https://travis-ci.com/tormachris/knative-report-results.svg?branch=master)](https://travis-ci.com/tormachris/knative-report-results) diff --git a/chart_create.py b/chart_create.py new file mode 100644 index 0000000..3ac8873 --- /dev/null +++ b/chart_create.py @@ -0,0 +1,475 @@ +#!/usr/bin/env python3 + +""" +Python module to automatically analyze bechmark results +""" + + +import csv +import os +import json +import datetime +import re +import abc +import multiprocessing +import matplotlib.pyplot as pplot +import sentry_sdk + + +sentry_sdk.init("https://ad1710ee2c504dfea06a065d456c9566@sentry.io/1829302") + + +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, + shouldprint: bool = False): + pass + + def processallfiles(self, directory='.'): + """ + 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 LogAnalyzer(Analyzer): + """ + Analyze Knative logs + """ + + def __init__(self): + """ + Init object + """ + super().__init__(typeof='.txt') + self.concurrencypersec = [] + self.podpersec = [] + self.start = datetime.datetime.now() + self.end = datetime.datetime.now() + + def listtodict(self, inlist: list) -> dict: + """ + Turns a list into a dict + :param inlist: + :return: + """ + it = iter(inlist) + res_dct = dict(zip(it, it)) + return res_dct + + def processfile( + self, + fname, + shouldprint: bool = False) -> dict: + """ + Read logfile + :param fname: + :param shouldprint: + :return: + """ + dictofsecs = {} + if 'date' in fname: + return {} + with open(fname, 'r') as inputFile: + line = inputFile.readline() + while line: + try: + linedict = json.loads(line) + try: + currdate = linedict['ts'].split( + '.')[0].replace('T', ' ') + dateformatted = datetime.datetime.strptime( + currdate, '%Y-%m-%d %H:%M:%S') + if self.start < dateformatted < self.end: + message = linedict['msg'] + messagelist = re.split('[ =]', message) + messagedict = self.listtodict(messagelist) + messagedict['ts'] = dateformatted + if 'ObservedStableValue' in messagedict: + if messagedict['ts'] not in dictofsecs: + dictofsecs[messagedict['ts']] = { + 'pod': [], 'cc': []} + dictofsecs[messagedict['ts']]['pod'].append( + float(messagedict['PodCount'])) + dictofsecs[messagedict['ts']]['cc'].append( + float(messagedict['ObservedStableValue'])) + except Exception as exception: + print(exception) + except json.JSONDecodeError: + continue + finally: + line = inputFile.readline() + return dictofsecs + + def readconfigdates(self, directory='.'): + """ + Read dates.txt and configure object + :param directory: + :return: + """ + dates = [] + with open(directory + "/dates.txt", 'r') as inputFile: + line = inputFile.readline().rstrip() + currline = 0 + while line: + dateformatted = datetime.datetime.strptime( + line, '%Y-%m-%d %H:%M:%S') + dates.append(dateformatted) + line = inputFile.readline().rstrip() + currline += 1 + self.start = dates[0] + self.end = dates[1] + + def averagepersec( + self, + dictoftimes: dict, + shouldprint: bool = False) -> None: + """ + Average lists + :param dictoftimes: + :param shouldprint: + :return: + """ + for key, value in dictoftimes.items(): + pod = value['pod'] + concurrency = value['cc'] + avgpod = average(pod) + avgcc = average(concurrency) + self.podpersec.append(avgpod) + self.concurrencypersec.append(avgcc) + if shouldprint: + print(avgpod) + print(avgcc) + + def work(self, directory: str = '.') -> None: + """ + Main interface + :param directory: + :return: + """ + files = super().getfiles(directory) + self.readconfigdates(directory) + filelines = {} + for afile in files: + filelines.update(self.processfile(afile)) + self.averagepersec(filelines, False) + + +class JmeterAnalyzer(CsvAnalyzer): + """ + Jmeter benchmark tool analyzer + """ + + def __init__(self): + """ + Init object + """ + super().__init__() + self.responsepersec = {} + + def processfile( + self, + fname, + shouldprint: bool = False): + """ + Process benchmark result file. + :param fname: + :param shouldprint: + :return: + """ + with open(fname, 'r') as f: + data = csv.reader(f) + fields = next(data) + for row in data: + items = zip(fields, row) + item = {} + for (name, value) in items: + item[name] = value.strip() + sec = datetime.datetime.fromtimestamp( + int(item['timeStamp']) / 1000.0).strftime('%c') + if sec not in self.responsepersec: + self.responsepersec[sec] = [] + self.responsepersec[sec].append(float(item['Latency'])) + + def collectinfo(self, shouldprint: bool = False) -> None: + """ + Collect info + :param shouldprint: + :return: + """ + self.walkresponsepersec(self.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_jmeter(abs_directory, directory): + """ + Analyze Jmeter output + :param abs_directory: + :param directory: + :return: + """ + jmeter = JmeterAnalyzer() + jmeter.processallfiles(abs_directory) + jmeter.collectinfo(False) + ChartCreator.savecsvplot(jmeter, directory) + ChartCreator.savetxtplot(jmeter, 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) + + @staticmethod + def analyze_logs(abs_directory, directory): + """ + Analyze knative logs + :param abs_directory: + :param directory: + :return: + """ + try: + log = LogAnalyzer() + log.work(abs_directory) + print("Charting " + directory + " Knative logs") + pplot.plot(log.concurrencypersec) + pplot.title(directory) + pplot.xlabel("Time (seconds)") + pplot.ylabel("ObsevedStableConcurrency") + pplot.savefig( + os.getenv( + 'CHARTDIR', + default='.') + + '/' + + directory + + "-cc.png") + pplot.clf() + pplot.plot(log.podpersec) + pplot.title(directory) + pplot.xlabel("Time (seconds)") + pplot.ylabel("Pod count") + pplot.savefig( + os.getenv( + 'CHARTDIR', + default='.') + + '/' + + directory + + "-pod.png") + pplot.clf() + with open(os.getenv('TEXTDIR', default='.') + '/' + directory + "-pods.txt", 'w') as f: + for item in log.podpersec: + f.write("%s\n" % item) + with open(os.getenv('TEXTDIR', default='.') + '/' + directory + "-cc.txt", 'w') as f: + for item in log.concurrencypersec: + f.write("%s\n" % item) + except Exception as exception: + print(exception) + + 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) + if 'JMETER' not in abs_directory.upper(): + process = multiprocessing.Process( + target=ChartCreator.analyze_hey, args=( + abs_directory, directory,)) + else: + process = multiprocessing.Process( + target=ChartCreator.analyze_jmeter, args=( + abs_directory, directory,)) + + jobs.append(process) + process.start() + logprocess = multiprocessing.Process( + target=ChartCreator.analyze_logs, args=( + abs_directory, directory,)) + jobs.append(logprocess) + logprocess.start() + + +if __name__ == "__main__": + """ + Entry point + """ + chartcreator = ChartCreator() + chartcreator.doallruns() diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..7a6db5e --- /dev/null +++ b/requirements.txt @@ -0,0 +1,2 @@ +matplotlib>=3.1.1 +sentry-sdk>=0.13.2