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gengraph_cryptacus.py
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gengraph_cryptacus.py
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#!/usr/bin/env python3
import os
import json
from os import listdir
from os.path import isfile, join
import matplotlib.pyplot as plt; plt.rcdefaults()
import matplotlib
import re
import argparse
from collections import OrderedDict, defaultdict
from ccc.ccc import get_cc_from_callgrind_file
from math import log
def parse_ciphersuite_names_from_file(ciphers_file_path):
CIPHER_ID_NAME_REGEX = r'(?P<id>\d+) (?P<name>[^ ]*?)( |$|\r?\n)'
pattern = re.compile(CIPHER_ID_NAME_REGEX)
ciphersuite_name = OrderedDict()
with open(ciphers_file_path, 'r') as ciphers_file:
lines = ciphers_file.readlines()
print(f'{ciphers_file_path} has {len(lines)} lines')
for line in lines:
if line is os.linesep:
continue
res = pattern.search(line)
id, name = int(res.group('id')), res.group('name')
ciphersuite_name[id] = name
return ciphersuite_name
def parse_callgrind_cli_srv_file_names(path):
CLI_FILE_REGEX = r'.*?client\.callgrind\.out\.(?P<cipher_id>\d+).*?'
SRV_FILE_REGEX = r'.*?server\.callgrind\.out\.(?P<cipher_id>\d+).*?'
cli_pattern = re.compile(CLI_FILE_REGEX)
srv_pattern = re.compile(SRV_FILE_REGEX)
cli_files = {}
srv_files = {}
# checking for membership in sets is O(1) [O(n) worst case]
cli_included_ciphers = set()
srv_included_ciphers = set()
all_files = [join(path, f) for f in listdir(path) if isfile(join(path, f))]
for file_name in all_files:
res = cli_pattern.search(file_name)
if res is not None:
cipher_id = int(res.group('cipher_id'))
if cipher_id not in cli_included_ciphers:
cli_files[cipher_id] = file_name
cli_included_ciphers.add(cipher_id)
print(f'Using {file_name}')
continue
res = srv_pattern.search(file_name)
if res is not None:
cipher_id = int(res.group('cipher_id'))
if cipher_id not in srv_included_ciphers:
srv_files[cipher_id] = file_name
srv_included_ciphers.add(cipher_id)
continue
print(f'[!!!] Invalid filename found {file_name}. Ignoring...')
return cli_files, srv_files
def parse_callgrind_cli_srv_file_names_2(path):
CLI_FILE_REGEX = r'.*?callgrind\.out\.client\.(?P<cipher_id>\d+)'
SRV_FILE_REGEX = r'.*?callgrind\.out\.server\.(?P<cipher_id>\d+)'
cli_pattern = re.compile(CLI_FILE_REGEX)
srv_pattern = re.compile(SRV_FILE_REGEX)
cli_files = {}
srv_files = {}
all_files = [join(path, f) for f in listdir(path) if isfile(join(path, f))]
for file_name in all_files:
res = cli_pattern.search(file_name)
if res is not None:
cipher_id = int(res.group('cipher_id'))
cli_files[cipher_id] = file_name
continue
res = srv_pattern.search(file_name)
if res is not None:
cipher_id = int(res.group('cipher_id'))
srv_files[cipher_id] = file_name
return cli_files, srv_files
def parse_callgrind_cpu_cycles_from_files(funcs, cipher_id_file, entity):
profiling = defaultdict(dict) # {function_name : {ciphersuite_id : num_cycles}}
num_funcs = len(funcs)
funcs_parsed = 0
for func in funcs:
funcs_parsed = 1
print(f'Parsing for {entity} {func} {funcs_parsed}/{num_funcs}]...')
for cipher_id, file_name in cipher_id_file.items():
print(f'\tparsing for ciphersuite {cipher_id}...')
cipher_id = int(cipher_id)
num_cycles = get_cc_from_callgrind_file(file_name, func)
profiling[func][cipher_id] = num_cycles
print(f'\t\t num cycles: {num_cycles}')
return profiling
def dump_json_ids(cli_profiling, srv_profiling, file_name):
obj = {'client': cli_profiling, 'server': srv_profiling}
res = json.dumps(obj)
with open(file_name, 'w') as out_file:
out_file.write(res)
def print_total_ciphers_profiled_stats(cli_prof, srv_prof, cli_funcs, srv_funcs):
print('Total client ciphersuites profiled: ', end='')
num_cli_ciphers = 0
if len(cli_funcs) > 0:
first_func = cli_funcs[0]
num_cli_ciphers = len(cli_prof[first_func])
print(num_cli_ciphers)
print('Total server ciphersuites profiled: ', end='')
num_srv_ciphers = 0
if len(srv_funcs) > 0:
first_func = srv_funcs[0]
num_srv_ciphers = len(cli_prof[first_func])
print(num_srv_ciphers)
def dump_json_ids_if_needed(json_ids_file, cli_prof, srv_prof):
if json_ids_file is not None:
print(f'Dumping profiling resutls to {json_ids_file}...')
dump_json_ids(cli_prof, srv_prof, json_ids_file)
def plot_from_profiling(func_names, profiling, ciphersuites_ids_to_graph, ciphersuite_id_to_name, entity):
for func_name in func_names:
func_profiling = profiling[func_name]
values = []
labels = []
ciphersuite_names = []
num_ciphersuites_graphed = 0
for ciphersuite_id in ciphersuites_ids_to_graph:
profiling_res = func_profiling.get(ciphersuite_id, None)
if profiling_res is None:
continue
values.append(profiling_res)
labels.append(ciphersuite_id)
ciphersuite_names.append(ciphersuite_id_to_name[ciphersuite_id])
total_ciphers = len(values)
suffix = f'{entity} (Total: {total_ciphers})'
show_plot(values, labels, func_name, ciphersuite_names, suffix)
def show_plot(values, labels, func_name, ciphersuite_names, suffix):
font = {'family' : 'normal',
'size' : 7}
matplotlib.rc('font', **font)
fig, ax = plt.subplots()
ax.get_yaxis().get_major_formatter().set_scientific(False)
ax.get_xaxis().set_visible(False)
y_pos = range(len(labels))
bar1 = plt.bar(y_pos, values, align='edge', alpha=0.5)
plt.xticks(y_pos, labels, rotation='vertical')
plt.yticks()
plt.ylabel(f'Number Of CPU Instructions')
plt.title(f'Handshake Cost For {suffix}')
plt.margins(0)
max_val = max(values)
label_pos = max_val/2 + max_val/3
MAC_REGEX = r'WITH-(?P<mac>.*)'
pattern = re.compile(MAC_REGEX)
new_ciphersuite_names = []
for ciphersuite_name in ciphersuite_names:
res = pattern.search(ciphersuite_name)
new_ciphersuite_names.append(res.group('mac'))
for i, v in enumerate(values):
if v < 80000000:
v = 6000000 * log(v)
else:
v = v - 9000000
ax.text(i, v, f'{new_ciphersuite_names[i]}', rotation='vertical')
plt.show()
def run(ciphers_file_path, path, cli_funcs, srv_funcs, json_ids_file):
ciphersuite_name = parse_ciphersuite_names_from_file(ciphers_file_path)
ciphersuite_order = ciphersuite_name.keys() # follow the ordre of the file
cipher_id_file_cli, cipher_id_file_srv = parse_callgrind_cli_srv_file_names(path)
total_ciphersuites_requested = len(ciphersuite_order)
cli_ciphersuites_skipped = 0
cli_ciphersuties_evaluated = 0
# {function_name : {ciphersuite_id : num_cycles}}
CLI_FUNCS_PROFILING = parse_callgrind_cpu_cycles_from_files(cli_funcs, cipher_id_file_cli, 'client')
SRV_FUNCS_PROFILING = parse_callgrind_cpu_cycles_from_files(srv_funcs, cipher_id_file_srv, 'server')
print_total_ciphers_profiled_stats(CLI_FUNCS_PROFILING, SRV_FUNCS_PROFILING, cli_funcs, srv_funcs)
dump_json_ids_if_needed(json_ids_file, CLI_FUNCS_PROFILING, SRV_FUNCS_PROFILING)
plot_from_profiling(cli_funcs, CLI_FUNCS_PROFILING, ciphersuite_order, ciphersuite_name, 'Client')
plot_from_profiling(srv_funcs, SRV_FUNCS_PROFILING, ciphersuite_order, ciphersuite_name, 'Server')
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Generate graph from existing callgrind ouput files.'
'The file name format file must be: callgrind.out.[client||server].<ciphersuite_id>.'
'If you need to change the output graph, edit the code directly.')
parser.add_argument('ciphers', type=str, help='file containing a list of ciphersuite ids and their respective names.'
'Each line of the file must have the format: <ciphersuite_id> <ciphersuite_name> [arbitrary_info, ...]')
parser.add_argument('-p', '--path', type=str, default='./', help='path of the callgrind output files')
parser.add_argument('--sf', nargs='*', default=[], help='name of server functions to profile')
parser.add_argument('--cf', nargs='*', default=[], help='name of client functions to profile')
parser.add_argument('--json-ids', type=str, default=None, help='output JSON file with the profiling results. The keys of the ciphersuites are its ids')
#TODO: json-cipher-names
args = parser.parse_args()
if args.path[-1] is not '/':
args.path += '/'
run(args.ciphers, args.path, args.cf, args.sf, args.json_ids)