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seq_together.py
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seq_together.py
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#! /usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2015 Matthieu Baerts & Quentin De Coninck
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
# MA 02110-1301, USA.
#
# To install on this machine: matplotlib, numpy
from __future__ import print_function
##################################################
## IMPORTS ##
##################################################
import argparse
import bisect
import common as co
import glob
import matplotlib
# Do not use any X11 backend
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import mptcp
import numpy as np
import os
import os.path
import pickle
import sys
import tcp
##################################################
## ARGUMENTS ##
##################################################
parser = argparse.ArgumentParser(
description="Summarize sequence number together in one graph")
parser.add_argument("-s",
"--stat", help="directory where the stat files are stored", default=co.DEF_STAT_DIR+'_'+co.DEF_IFACE)
parser.add_argument('-S',
"--sums", help="directory where the summary graphs will be stored", default=co.DEF_SUMS_DIR+'_'+co.DEF_IFACE)
parser.add_argument("-d",
"--dirs", help="list of directories to aggregate", nargs="+")
parser.add_argument("-c",
"--csv", help="directory where csvs/xpls are located")
args = parser.parse_args()
stat_dir_exp = os.path.abspath(os.path.expanduser(args.stat))
sums_dir_exp = os.path.abspath(os.path.expanduser(args.sums))
csv_dir_exp = os.path.abspath(os.path.expanduser(args.csv))
co.check_directory_exists(sums_dir_exp)
def check_in_list(dirpath, dirs):
""" Check if dirpath is one of the dir in dirs, True if dirs is empty """
if not dirs:
return True
return os.path.basename(dirpath) in dirs
def fetch_data(dir_exp):
co.check_directory_exists(dir_exp)
dico = {}
for dirpath, dirnames, filenames in os.walk(dir_exp):
if check_in_list(dirpath, args.dirs):
for fname in filenames:
try:
stat_file = open(os.path.join(dirpath, fname), 'r')
dico[fname] = pickle.load(stat_file)
stat_file.close()
except IOError as e:
print(str(e) + ': skip stat file ' + fname, file=sys.stderr)
return dico
connections = fetch_data(stat_dir_exp)
def is_reverse_connection(csv_fname):
first_underscore_index = csv_fname.rindex("_")
second_underscore_index = csv_fname[:first_underscore_index].rindex("_")
third_underscore_index = csv_fname[:second_underscore_index].rindex("_")
return csv_fname[third_underscore_index + 1:second_underscore_index] == "s2c"
def seq_d2s_all_connections(time_loss=1.5):
for fname, conns in connections.iteritems():
seqs = {co.WIFI: [], co.CELL: []}
start_connections = []
retrans_rto = {co.WIFI: [], co.CELL: []}
retrans_frt = {co.WIFI: [], co.CELL: []}
retrans_rec = {co.WIFI: [], co.CELL: []}
retrans_und = {co.WIFI: [], co.CELL: []}
retrans_rto_plot = {co.WIFI: [], co.CELL: []}
retrans_frt_plot = {co.WIFI: [], co.CELL: []}
retrans_rec_plot = {co.WIFI: [], co.CELL: []}
retrans_und_plot = {co.WIFI: [], co.CELL: []}
conn_event = {co.WIFI: [], co.CELL: []}
if fname.startswith('mptcp'):
is_reinjection = {co.WIFI: [], co.CELL: []}
tot_reinjection_on = {co.WIFI: 0, co.CELL: 0}
start_subflows = {co.WIFI: [], co.CELL: []}
min_start = float('inf')
for conn_id, conn in conns.iteritems():
for flow_id, flow in conn.flows.iteritems():
if co.START in flow.attr:
min_start = flow.attr[co.START].total_seconds()
offset_duration = {}
for conn_id, conn in conns.iteritems():
offset_duration[conn_id] = {}
for flow_id, flow in conn.flows.iteritems():
if co.START in flow.attr:
offset_duration[conn_id][flow_id] = flow.attr[co.START].total_seconds() - min_start
for xpl_path in glob.glob(os.path.join(csv_dir_exp, fname + '_*.xpl')):
xpl_fname = os.path.basename(xpl_path)
if 'tsg' not in xpl_fname:
continue
xpl_fullpath = os.path.abspath(os.path.expanduser(xpl_path))
# Preprocessing, avoid wasting time with not interesting files
flow_name, from_server_to_smartphone = tcp.get_flow_name(xpl_fname)
if not from_server_to_smartphone:
continue
# Opening of the file
try:
xpl_file = open(xpl_fullpath)
data = xpl_file.readlines()
xpl_file.close()
except IOError as e:
print(str(e))
continue
conn = None
conn_id = None
flow_id = None
for conn_i, connection in conns.iteritems():
for flow_i, flow in connection.flows.iteritems():
if flow.subflow_id == flow_name:
conn = connection
conn_id = conn_i
flow_id = flow_i
break
if conn and flow_id:
break
if not conn:
continue
# Now process the file
start_connections.append(conn.attr[co.START].total_seconds() - min_start)
interface = conn.flows[flow_id].attr[co.IF]
conn_event[interface].append((conn.attr[co.START].total_seconds() - min_start, 'start'))
start_subflows[interface].append(conn.flows[flow_id].attr[co.START].total_seconds() - min_start)
if offset_duration[conn_id][flow_id] == float('inf'):
print('Skipped', fname, conn_id, flow_id, flow_name, conn.attr)
continue
last_time = None
is_white = False
for line in data:
if is_white and (line.startswith("uarrow") or line.startswith("diamond")):
split_line = line.split(" ")
# if ((not split_line[0] == "diamond") or (len(split_line) == 4 and "white" in split_line[3])):
time = float(split_line[1])
last_time = time
seqs[interface].append([time + offset_duration[conn_id][flow_id], int(split_line[2]), flow_name])
elif len(line.split(" ")) == 1:
if line.startswith("white"):
is_white = True
else:
is_white = False
if last_time:
conn_event[interface].append((last_time + offset_duration[conn_id][flow_id], 'end'))
else:
# Opened too shortly
conn_event[interface].append((conn.attr[co.START].total_seconds() - min_start + 0.010000, 'end'))
for reinject_time, reinject_type in conn.flows[flow_id].attr[co.D2S][co.TCPCSM_RETRANS]:
ts_int = int(reinject_time.split('.')[0])
ts_dec = float('.' + reinject_time.split('.')[1])
ts_offset_int = ts_int - int(min_start)
ts_offset_dec = ts_dec - (min_start - int(min_start))
ts_offset = ts_offset_int + ts_offset_dec
if reinject_type == 'RTO':
retrans_rto[interface].append(ts_offset)
elif reinject_type in ['FRETX', 'MS_FRETX', 'SACK_FRETX', 'BAD_FRETX']:
retrans_frt[interface].append(ts_offset)
elif reinject_type in ['LOSS_REC', 'FREC']:
retrans_rec[interface].append(ts_offset)
elif reinject_type in ['UNEXP_FREC', 'UNNEEDED']:
retrans_und[interface].append(ts_offset)
for reinj_ts, reinj_bytes in conn.flows[flow_id].attr[co.D2S][co.IS_REINJ].iteritems():
is_reinjection[interface].append(float(reinj_ts) - min_start)
tot_reinjection_on[interface] += reinj_bytes
print("WIFI size", len(seqs[co.WIFI]))
print("CELL size", len(seqs[co.CELL]))
# Now put all together on a same graph
offsets = {co.WIFI: {}, co.CELL: {}}
tot_offset = {co.WIFI: 0, co.CELL: 0}
seqs_plot = {co.WIFI: [], co.CELL: []}
is_reinj_plot = {co.WIFI: [], co.CELL: []}
for ith, seqs_ith in seqs.iteritems():
seqs_sort = sorted(seqs_ith, key=lambda elem: elem[0])
for elem in seqs_sort:
if elem[2] not in offsets[ith]:
offsets[ith][elem[2]] = elem[1]
seqs_plot[ith].append((elem[0], tot_offset[ith]))
if tot_offset[ith] < 0 or elem[1] < 0:
print("NEGATIVE START", ith, elem[1], tot_offset[ith])
else:
if tot_offset[ith] + (elem[1] - offsets[ith][elem[2]]) < 0:
print(offsets)
print("NEGATIVE", ith, elem[1], tot_offset[ith], offsets[ith][elem[2]], tot_offset[ith] + (elem[1] - offsets[ith][elem[2]]))
seqs_plot[ith].append((elem[0], tot_offset[ith] + (elem[1] - offsets[ith][elem[2]])))
tot_offset[ith] += elem[1] - offsets[ith][elem[2]]
offsets[ith][elem[2]] = elem[1]
x_data = [x for x, y in seqs_plot[ith]]
for reinj_ts in is_reinjection[ith]:
index = min(bisect.bisect(x_data, reinj_ts), len(seqs_plot[ith]) - 1)
is_reinj_plot[ith].append((reinj_ts, seqs_plot[ith][index][1]))
improved_seqs_plot = []
previous_elem = None
for elem in seqs_plot[ith]:
if len(improved_seqs_plot) >= 1 and elem[1] - previous_elem[1] < 2 and elem[0] - previous_elem[0] >= 1.0:
improved_seqs_plot.append((previous_elem[0] + 0.001000, 0))
improved_seqs_plot.append((elem[0] - 0.001000, 0))
improved_seqs_plot.append(elem)
previous_elem = elem
# If needed, insert 0s in curves to show loss of connectivity
sorted_events = sorted(conn_event[ith], key=lambda elem: elem[0])
print(sorted_events)
counter = 0
sorted_event_plot = [(0.0, 0)]
x_data = [x for x, y in seqs_plot[ith]]
x_data_two = [x for x, y in improved_seqs_plot]
for event_time, event in sorted_events:
if event == 'start':
if counter == 0:
sorted_event_plot.append((event_time - 0.005000, 0))
counter += 1
elif event == 'end':
if counter == 0:
print("Strange...")
else:
counter -= 1
if counter == 0:
index = bisect.bisect_left(x_data, event_time + 0.004999)
if index < len(seqs_plot[ith]) - 1:
sorted_event_plot.append((event_time + 0.004999, seqs_plot[ith][index][1]))
sorted_event_plot.append((event_time + 0.005000, 0))
for retrans_ts in retrans_rto[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_rto_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_frt[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_frt_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_rec[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_rec_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_und[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_und_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
seqs_plot[ith] = sorted(improved_seqs_plot + sorted_event_plot, key=lambda elem: elem[0])
# start_ts = min(seqs_plot[co.WIFI][0][0], seqs_plot[co.CELL][0][0])
fig, ax = plt.subplots()
ax.plot([x[0] for x in seqs_plot[co.WIFI]], [x[1] for x in seqs_plot[co.WIFI]], 'b-', label="WiFi")
ax.plot([x[0] for x in seqs_plot[co.CELL]], [x[1] for x in seqs_plot[co.CELL]], 'r-', label="Cellular")
for ith in [co.WIFI, co.CELL]:
if ith == co.WIFI:
ax.plot([x[0] for x in retrans_rto_plot[ith]], [x[1] for x in retrans_rto_plot[ith]], 'cd', label="Retr RTO", alpha=0.33)
ax.plot([x[0] for x in retrans_frt_plot[ith]], [x[1] for x in retrans_frt_plot[ith]], 'md', label="Retr FRT", alpha=0.33)
ax.plot([x[0] for x in retrans_rec_plot[ith]], [x[1] for x in retrans_rec_plot[ith]], 'yd', label="Retr REC", alpha=0.33)
ax.plot([x[0] for x in retrans_und_plot[ith]], [x[1] for x in retrans_und_plot[ith]], color='black', marker='d', linestyle='None', label="Retr UND", alpha=0.33)
ax.plot([x[0] for x in is_reinj_plot[ith]], [x[1] for x in is_reinj_plot[ith]], 'go', label="Is Reinj", alpha=0.33)
else:
ax.plot([x[0] for x in retrans_rto_plot[ith]], [x[1] for x in retrans_rto_plot[ith]], 'cd', alpha=0.33)
ax.plot([x[0] for x in retrans_frt_plot[ith]], [x[1] for x in retrans_frt_plot[ith]], 'md', alpha=0.33)
ax.plot([x[0] for x in retrans_rec_plot[ith]], [x[1] for x in retrans_rec_plot[ith]], 'yd', alpha=0.33)
ax.plot([x[0] for x in retrans_und_plot[ith]], [x[1] for x in retrans_und_plot[ith]], color='black', linestyle='None', marker='d', alpha=0.33)
ax.plot([x[0] for x in is_reinj_plot[ith]], [x[1] for x in is_reinj_plot[ith]], 'go', alpha=0.33)
max_wifi = max([x[1] for x in seqs_plot[co.WIFI]]) if len(seqs_plot[co.WIFI]) > 0 else 10
max_cell = max([x[1] for x in seqs_plot[co.CELL]]) if len(seqs_plot[co.WIFI]) > 0 else 10
first = True
for x in start_connections:
if first:
ax.plot([x, x], [0, max(max_wifi, max_cell)], 'g-', label="Start co", alpha=0.33)
first = False
else:
ax.plot([x, x], [0, max(max_wifi, max_cell)], 'g-', alpha=0.33)
ax.plot(start_subflows[co.WIFI], [max_wifi for x in start_subflows[co.WIFI]], 'bx', label="Start SF W")
ax.plot(start_subflows[co.CELL], [max_cell for x in start_subflows[co.CELL]], 'rx', label="Start SF C")
# Shrink current axis by 20%
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
# Put a legend to the right of the current axis
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize='large')
plt.xlim(xmin=0.0)
plt.xlabel("Time", fontsize=18)
plt.ylabel("Bytes", fontsize=18)
plt.title('Reinj. on WIFI: ' + str(tot_reinjection_on[co.WIFI]) + ' and CELL: ' + str(tot_reinjection_on[co.CELL]))
plt.ticklabel_format(style='sci', axis='y', scilimits=(0, 0))
plt.savefig(os.path.join(sums_dir_exp, fname + '.pdf'))
plt.close('all')
elif fname.startswith('tcp'):
min_start = float('inf')
for conn_id, conn in conns.iteritems():
if co.START in conn.flow.attr:
min_start = min(min_start, conn.flow.attr[co.START].total_seconds())
for xpl_path in glob.glob(os.path.join(csv_dir_exp, fname + '_*.xpl')):
xpl_fname = os.path.basename(xpl_path)
# Preprocessing, avoid wasting time with not interesting files
conn_id, from_server_to_smartphone = tcp.get_flow_name(xpl_fname)
if not from_server_to_smartphone:
continue
# Opening of the file
try:
xpl_file = open(xpl_path)
data = xpl_file.readlines()
xpl_file.close()
except IOError as e:
print(str(e))
continue
# Now process the file
conn = connections[fname][conn_id]
start_connections.append(conn.flow.attr[co.START].total_seconds() - min_start)
offset = conn.flow.attr[co.START].total_seconds() - min_start
interface = conn.flow.attr[co.IF]
conn_event[interface].append((conn.flow.attr[co.START].total_seconds() - min_start, 'start'))
last_time = None
is_white = False
for line in data:
if is_white and (line.startswith("uarrow") or line.startswith("diamond")):
split_line = line.split(" ")
# if ((not split_line[0] == "diamond") or (len(split_line) == 4 and "white" in split_line[3])):
time = float(split_line[1])
last_time = time
seqs[interface].append([time, int(split_line[2]) + offset, conn_id])
elif len(line.split(" ")) == 1:
if line.startswith("white"):
is_white = True
else:
is_white = False
if last_time:
conn_event[interface].append((last_time + offset, 'end'))
else:
# Opened too shortly
conn_event[interface].append((conn.flow.attr[co.START].total_seconds() - min_start + 0.010000, 'end'))
for reinject_time, reinject_type in conn.flow.attr[co.D2S].get(co.TCPCSM_RETRANS, []):
ts_int = int(reinject_time.split('.')[0])
ts_dec = float('.' + reinject_time.split('.')[1])
ts_offset_int = ts_int - int(min_start)
ts_offset_dec = ts_dec - (min_start - int(min_start))
ts_offset = ts_offset_int + ts_offset_dec
if reinject_type == 'RTO':
retrans_rto[interface].append(ts_offset)
elif reinject_type in ['FRETX', 'MS_FRETX', 'SACK_FRETX', 'BAD_FRETX']:
retrans_frt[interface].append(ts_offset)
elif reinject_type in ['LOSS_REC', 'FREC']:
retrans_rec[interface].append(ts_offset)
elif reinject_type in ['UNEXP_FREC', 'UNNEEDED']:
retrans_und[interface].append(ts_offset)
# Now put all togetger on a same graph
offsets = {}
tot_offset = {co.WIFI: 0, co.CELL: 0}
seqs_plot = {co.WIFI: [], co.CELL: []}
for ith, seqs_ith in seqs.iteritems():
seqs_sort = sorted(seqs_ith, key=lambda elem: elem[0])
for elem in seqs_sort:
if elem[2] not in offsets:
offsets[elem[2]] = elem[1]
seqs_plot[ith].append((elem[0], tot_offset[ith]))
else:
seqs_plot[ith].append((elem[0], tot_offset[ith] + (elem[1] - offsets[elem[2]])))
tot_offset[ith] += elem[1] - offsets[elem[2]]
offsets[elem[2]] = elem[1]
improved_seqs_plot = []
previous_elem = None
for elem in seqs_plot[ith]:
if len(improved_seqs_plot) >= 1 and elem[1] - previous_elem[1] < 2 and elem[0] - previous_elem[0] >= 1.0:
improved_seqs_plot.append((previous_elem[0] + 0.001000, 0))
improved_seqs_plot.append((elem[0] - 0.001000, 0))
improved_seqs_plot.append(elem)
previous_elem = elem
# If needed, insert 0s in curves to show loss of connectivity
sorted_events = sorted(conn_event[ith], key=lambda elem: elem[0])
counter = 0
sorted_event_plot = [(0.0, 0)]
x_data = [x for x, y in seqs_plot[ith]]
x_data_two = [x for x, y in improved_seqs_plot]
for event_time, event in sorted_events:
if event == 'start':
if counter == 0:
sorted_event_plot.append((event_time - 0.005000, 0))
counter += 1
elif event == 'end':
if counter == 0:
print("Strange...")
else:
counter -= 1
if counter == 0:
index = bisect.bisect_left(x_data, event_time + 0.004999)
if index < len(seqs_plot[ith]) - 2:
sorted_event_plot.append((event_time + 0.004999, seqs_plot[ith][index][1]))
sorted_event_plot.append((event_time + 0.005000, 0))
for retrans_ts in retrans_rto[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_rto_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_frt[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_frt_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_rec[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_rec_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
for retrans_ts in retrans_und[ith]:
x_data = [x for x, y in seqs_plot[ith]]
index = min(bisect.bisect_left(x_data, retrans_ts), len(x_data) - 1)
retrans_und_plot[ith].append((retrans_ts, seqs_plot[ith][index][1]))
seqs_plot[ith] = sorted(improved_seqs_plot + sorted_event_plot, key=lambda elem: elem[0])
previous_node = None
# Post processing, remove all glitches
for i in range(0, len(seqs_plot[ith])):
if previous_node and (seqs_plot[ith][i][0] - previous_node[0] > 2.0) and (previous_node[1] == 0 and not seqs_plot[ith][i][1] == 0):
seqs_plot[ith][i] = (seqs_plot[ith][i][0], 0)
previous_node = seqs_plot[ith][i]
# start_ts = min(seqs_plot[co.WIFI][0][0], seqs_plot[co.CELL][0][0])
fig, ax = plt.subplots()
ax.plot([x[0] for x in seqs_plot[co.WIFI]], [x[1] for x in seqs_plot[co.WIFI]], 'b-', label="WiFi")
ax.plot([x[0] for x in seqs_plot[co.CELL]], [x[1] for x in seqs_plot[co.CELL]], 'r-', label="Cellular")
for ith in [co.WIFI, co.CELL]:
if ith == co.WIFI:
ax.plot([x[0] for x in retrans_rto_plot[ith]], [x[1] for x in retrans_rto_plot[ith]], 'cd', label="Retr RTO", alpha=0.33)
ax.plot([x[0] for x in retrans_frt_plot[ith]], [x[1] for x in retrans_frt_plot[ith]], 'md', label="Retr FRT", alpha=0.33)
ax.plot([x[0] for x in retrans_rec_plot[ith]], [x[1] for x in retrans_rec_plot[ith]], 'yd', label="Retr REC", alpha=0.33)
ax.plot([x[0] for x in retrans_und_plot[ith]], [x[1] for x in retrans_und_plot[ith]], color='black', linestyle='None', marker='d', label="Retr UND", alpha=0.33)
else:
ax.plot([x[0] for x in retrans_rto_plot[ith]], [x[1] for x in retrans_rto_plot[ith]], 'cd', alpha=0.33)
ax.plot([x[0] for x in retrans_frt_plot[ith]], [x[1] for x in retrans_frt_plot[ith]], 'md', alpha=0.33)
ax.plot([x[0] for x in retrans_rec_plot[ith]], [x[1] for x in retrans_rec_plot[ith]], 'yd', alpha=0.33)
ax.plot([x[0] for x in retrans_und_plot[ith]], [x[1] for x in retrans_und_plot[ith]], color='black', linestyle='None', marker='d', alpha=0.33)
max_wifi = max([x[1] for x in seqs_plot[co.WIFI]]) if len(seqs_plot[co.WIFI]) > 0 else 10
max_cell = max([x[1] for x in seqs_plot[co.CELL]]) if len(seqs_plot[co.WIFI]) > 0 else 10
first = True
for x in start_connections:
if first:
ax.plot([x, x], [0, max(max_wifi, max_cell)], 'g-', label="Start co", alpha=0.33)
first = False
else:
ax.plot([x, x], [0, max(max_wifi, max_cell)], 'g-', alpha=0.33)
# Shrink current axis by 20%
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
# Put a legend to the right of the current axis
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize='large')
plt.xlim(xmin=0.0)
plt.xlabel("Time", fontsize=18)
plt.ylabel("Bytes", fontsize=18)
plt.ticklabel_format(style='sci', axis='y', scilimits=(0, 0))
plt.savefig(os.path.join(sums_dir_exp, fname + '.pdf'))
plt.close('all')
seq_d2s_all_connections()
def collect_seq():
seqs = {}
for csv_path in glob.glob(os.path.join(csv_dir_exp, '*.csv')):
csv_fname = os.path.basename(csv_path)
try:
csv_file = open(csv_path)
data = csv_file.readlines()
csv_file.close()
except IOError as e:
print(str(e))
continue
seqs_csv = []
for line in data:
split_line = line.split(',')
if len(split_line) == 6:
if int(split_line[3]) == 0:
# ACK
timestamp = float(split_line[0])
seq_ack = int(split_line[1])
flow_id = int(split_line[2]) - 1
# is_ack = True # int(split_line[3]) == 0
# dummy = int(split_line[4])
# dummy_2 = int(split_line[5])
seqs_csv.append((timestamp, seq_ack, flow_id))
elif int(split_line[3]) == 1:
# MAP
timestamp = float(split_line[0])
seq_start = int(split_line[1])
flow_id = int(split_line[2]) - 1
# is_ack = False # int(split_line[3]) == 1
seq_end = int(split_line[4])
reinject_flow = int(split_line[5]) - 1 # If not negative, the flow where packet was first seen
seqs_csv.append((timestamp, seq_start, flow_id, seq_end, reinject_flow))
seqs[csv_fname] = seqs_csv
return seqs