quentin/tor_multipath_voip
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity

WIP script

Browse source
This commit is contained in:
Quentin Dufour 2020-01-16 16:59:29 +00:00
parent 77bf180634
commit 61213dbab0
1 changed files with 32 additions and 3 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

35
scripts/jantoran.py
View file

@ -6,12 +6,28 @@ def compute_failure(s):
if it not in s['failure']: s['failure'][it] = []
s['failure'][it].append(round(s['current']['max_pkt'] * s['current']['interval'] / 1000 / 60))
def compute_circuit_distri(s):
s['current']['lats'] = l = sorted(s['current']['lats'])
s['current']['distri'] = d = {}
perc = lambda p: l[round(p * (len(l) - 1))]
for x in [0, 0.25, 0.5, 0.75, 0.99, 0.999, 1]:
d[str(x)] = perc(x)
def compute_interval_distri(s):
for inter, val in s['per_interval']:
s['per_interval_res'][inter] = {}
s['per_interval_res'][inter]['agg'] = sorted([].extend([ elem['lats'] for elem in val]))
def extract_measlat(log, s):
s['current']['max_pkt'] = 0
s['current']['lats'] = []
with open(log) as f:
for l in f:
x = re.search(r'Packet (\d+) latency (\d+)µs with', l)
if x:
s['current']['max_pkt'] = int(x.groups()[0])
lat = x.groups()[0]
s['current']['max_pkt'] = max(s['current']['max_pkt'], int(lat))
s['current']['lats'].append(lat)
def extract_info(inf, s):
with open(inf) as f:
@ -25,6 +41,14 @@ def extract_folder(p, s):
extract_measlat(p + '/log/client-measlat-stdout.log', s)
compute_failure(s)
compute_circuit_distri(s) if s['current']['interval'] == 40
def categorize(folder, s):
s[folder] = s['current']
i = s['current']['interval']
if i not in s['per_interval']: s['per_interval'][i] = []
s['per_interval'][i].append(current)
def extract(p, s):
item_count = functools.reduce(lambda acc, prev: acc + 1, os.listdir(p), 0)
@ -34,12 +58,16 @@ def extract(p, s):
for folder in os.listdir(p):
s['current'] = {}
extract_folder(p + '/' + folder, s)
s[folder] = s['current']
categorize(folder, s)
counter += 1
progress = round(counter / item_count * 100)
print(f"{progress}%", end="\r")
print("done")
def compute_global(s):
print("computing global...")
compute_interval_distri(s)
def analyze_failure(s):
with open('jan_failure.csv', 'w') as f:
f.write(f"rate,duration,ecdf\n")
@ -60,8 +88,9 @@ def analyze(s):
print("analyzing...")
analyze_failure(s)
state = {'failure': {}}
state = {'failure': {}, 'per_interval': {}, 'per_interval_res': {}}
extract(sys.argv[1], state)
compute_global(state)
analyze(state)
#for key, value in state.items():