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#!/usr/bin/env python3
from collections import deque
import dash
from dash.dependencies import Output, Input
import dash_core_components as dcc
import dash_html_components as html
import multiprocessing
import os
import plotly
import plotly.graph_objs as go
import sys
sys.path.append(os.path.dirname(sys.argv[0]) + '/../share/nDPId')
sys.path.append(os.path.dirname(sys.argv[0]) + '/../usr/share/nDPId')
try:
import nDPIsrvd
from nDPIsrvd import nDPIsrvdSocket
except ImportError:
sys.path.append(os.path.dirname(sys.argv[0]) + '/../../dependencies')
import nDPIsrvd
from nDPIsrvd import nDPIsrvdSocket
mgr = multiprocessing.Manager()
global shared_flow_dict
shared_flow_dict = mgr.dict()
FLOW_COUNT_DATAPOINTS = 50
global live_flow_count_X
live_flow_count_X = deque(maxlen=FLOW_COUNT_DATAPOINTS)
live_flow_count_X.append(1)
global live_flow_count_Y
live_flow_count_Y = deque(maxlen=FLOW_COUNT_DATAPOINTS)
live_flow_count_Y.append(1)
live_flow_bars = ['risky', 'midstream', 'detected', 'guessed', 'not-detected']
fig = go.Figure()
app = dash.Dash(__name__)
app.layout = html.Div(
[
dcc.Graph(id='live-flow-count', animate=True),
dcc.Graph(id='live-flow-bars', animate=True, figure=fig),
dcc.Interval(
id='graph-update',
interval=1000,
n_intervals=0
),
]
)
@app.callback(
Output('live-flow-count', 'figure'),
[Input('graph-update', 'n_intervals')]
)
def update_graph_scatter(n):
live_flow_count_X.append(live_flow_count_X[-1]+1)
live_flow_count_Y.append(len(shared_flow_dict))
data = plotly.graph_objs.Scatter(
x=list(live_flow_count_X),
y=list(live_flow_count_Y),
name='Scatter',
mode='lines+markers'
)
return {
'data': [data],
'layout':
go.Layout(
xaxis=dict(
range=[min(live_flow_count_X), max(live_flow_count_X)]
),
yaxis=dict(
range=[min(live_flow_count_Y), max(live_flow_count_Y)]
),
)}
@app.callback(
Output('live-flow-bars', 'figure'),
[Input('graph-update', 'n_intervals')]
)
def update_pie(n):
values = [0, 0, 0, 0, 0]
for flow_id in shared_flow_dict.keys():
if shared_flow_dict[flow_id]['is_risky'] is True:
values[0] += 1
if shared_flow_dict[flow_id]['is_midstream'] is True:
values[1] += 1
if shared_flow_dict[flow_id]['is_detected'] is True:
values[2] += 1
if shared_flow_dict[flow_id]['is_guessed'] is True:
values[3] += 1
if shared_flow_dict[flow_id]['is_not_detected'] is True:
values[4] += 1
if shared_flow_dict[flow_id]['remove_me'] is True:
del shared_flow_dict[flow_id]
# print(values)
return {
'data': [
go.Bar(name='', x=live_flow_bars, y=values)
],
'layout': go.Layout(yaxis=dict(range=[0, max(values)]))
}
def web_worker():
app.run_server()
def nDPIsrvd_worker_onJsonLineRecvd(json_dict, current_flow, global_user_data):
if 'flow_event_name' not in json_dict:
return True
# print(json_dict)
if json_dict['flow_id'] not in shared_flow_dict:
shared_flow_dict[json_dict['flow_id']] = mgr.dict()
shared_flow_dict[json_dict['flow_id']]['is_detected'] = False
shared_flow_dict[json_dict['flow_id']]['is_guessed'] = False
shared_flow_dict[json_dict['flow_id']]['is_not_detected'] = False
shared_flow_dict[json_dict['flow_id']]['is_midstream'] = False
shared_flow_dict[json_dict['flow_id']]['is_risky'] = False
shared_flow_dict[json_dict['flow_id']]['remove_me'] = False
if json_dict['flow_event_name'] == 'new':
if 'midstream' in json_dict and json_dict['midstream'] != 0:
shared_flow_dict[json_dict['flow_id']]['is_midstream'] = True
elif json_dict['flow_event_name'] == 'guessed':
shared_flow_dict[json_dict['flow_id']]['is_guessed'] = True
elif json_dict['flow_event_name'] == 'not-detected':
shared_flow_dict[json_dict['flow_id']]['is_not_detected'] = True
elif json_dict['flow_event_name'] == 'detected':
shared_flow_dict[json_dict['flow_id']]['is_detected'] = True
shared_flow_dict[json_dict['flow_id']]['is_guessed'] = False
shared_flow_dict[json_dict['flow_id']]['is_not_detected'] = False
if 'ndpi' in json_dict and 'flow_risk' in json_dict['ndpi']:
shared_flow_dict[json_dict['flow_id']]['is_risky'] = True
elif json_dict['flow_event_name'] == 'idle' or \
json_dict['flow_event_name'] == 'end':
shared_flow_dict[json_dict['flow_id']]['remove_me'] = True
return True
def nDPIsrvd_worker(address, nDPIsrvd_global_user_data):
sys.stderr.write('Recv buffer size: {}\n'
.format(nDPIsrvd.NETWORK_BUFFER_MAX_SIZE))
sys.stderr.write('Connecting to {} ..\n'
.format(address[0]+':'+str(address[1])
if type(address) is tuple else address))
nsock = nDPIsrvdSocket()
nsock.connect(address)
nsock.loop(nDPIsrvd_worker_onJsonLineRecvd, nDPIsrvd_global_user_data)
if __name__ == '__main__':
argparser = nDPIsrvd.defaultArgumentParser()
args = argparser.parse_args()
address = nDPIsrvd.validateAddress(args)
nDPIsrvd_job = multiprocessing.Process(target=nDPIsrvd_worker,
args=(address, None))
nDPIsrvd_job.start()
web_job = multiprocessing.Process(target=web_worker, args=())
web_job.start()
nDPIsrvd_job.join()
web_job.terminate()
web_job.join()
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