source: benchmark/process-trun.py

#!/usr/bin/python3

"""
Python Script to convert output from trun to rmit like output
"""
import argparse
import json
import locale
import os
import re
import sys

locale.setlocale( locale.LC_ALL, 'en_US.UTF-8' )

parser = argparse.ArgumentParser(description='Python Script to convert output from trun to rmit like output')
parser.add_argument('--out', nargs='?', type=argparse.FileType('w'), default=sys.stdout)
parser.add_argument('files', nargs='+')
options =  parser.parse_args()

def extract(file):
        raw = []
        with open(file, "r") as f:
                for line in f:
                        if line.startswith("Combined"):
                                break

                h = next(f)
                next(f)

                columns = h.strip().split()
                if not len(columns) == 20:
                        print("{}: Failed to split header row '{}', unexpected number of columns.".format(file, h), file=sys.stderr)
                        raise ValueError

                for line in f:
                        line = line.strip()
                        if not line:
                                break

                        raw.append(line)

        results = []
        for l in raw:
                vals = l.split()
                if not len(vals) == 21:
                        print("{}: Failed to split result row '{}', unexpected number of columns ({}).".format(file, l, len(vals)), file=sys.stderr)
                        raise ValueError
                d = {
                        'Request Rate': float(vals[0]),
                        'MinReplies':   float(vals[1]),
                        'MeanReplies':  float(vals[2]),
                        'MaxReplies':   float(vals[3]),
                        'StdReplies':   float(vals[4]),
                        'Conn':         float(vals[5]),
                        'Resp':         float(vals[6]),
                        'Xfer':         float(vals[7]),
                        'Total':        float(vals[8]),
                        'Std':          float(vals[9]),
                        'Med':          float(vals[10]),
                        'Min':          float(vals[11]),
                        'Max':          float(vals[12]),
                        'Data Rate':    float(vals[13]),
                        'Errors':       float(vals[14]),
                        'Reqs':         float(vals[15]),
                        'ActRateC':     float(vals[16]),
                        'ActRate':      float(vals[17]),
                        'Error Rate':   float(vals[18]),
                        'SamplesT':     float(vals[19]),
                        'SamplesR':     float(vals[20])
                }
                results.append(d)

        return results




data = []

print(options.files)

for file in options.files:
        # checking if it is a file
        if os.path.isfile(file):
                filename = os.path.basename(file)
                match = re.search("swbsrv\.([0-9]+)gb\.(cfa|nginx)", filename)
                try:
                        series = match[2]
                        memory = match[1]
                except:
                        print("Can't parse filename '{}' from File '{}'.".format(filename, file), file=sys.stderr)
                        continue

                try:
                        results = extract(file)
                except OSError:
                        print("Cannot open File '{}'.".format(file), file=sys.stderr)
                        continue
                except ValueError:
                        continue

                for result in results:
                        d = [series, memory, result]
                        data.append(d)

        else:
                print("File '{}' does not exist.".format(file), file=sys.stderr)

options.out.write(json.dumps(data))
options.out.flush()
options.out.write("\n")