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import sys
import argparse
import logging
from importlib.machinery import SourceFileLoader
import itertools
import requests
import time
import json
import plotly
from plotly.graph_objs import Scatter, Layout
import plotly.figure_factory as ff
import numpy as np
from utils.pdp import check_pdp
logger = None
def init():
global logger
parser = argparse.ArgumentParser()
parser.add_argument('filename', help='scenario filename', nargs=1)
parser.add_argument("--verbose", "-v", action='store_true', help="verbose mode")
parser.add_argument("--test-only", "-t", action='store_true', dest='testonly', help="Do not generate graphs")
parser.add_argument("--write", "-w", help="Write test data to a JSON file", default="/tmp/data.json")
parser.add_argument("--input", "-i", help="Get data from a JSON input file")
parser.add_argument("--legend", "-l", help="Set the legend (default: 'rbac,rbac+session')", default='rbac,rbac+session')
parser.add_argument("--distgraph", "-d",
help="Show a distribution graph instead of a linear graph",
action='store_true')
args = parser.parse_args()
FORMAT = '%(asctime)-15s %(levelname)s %(message)s'
logging.basicConfig(
format=FORMAT,
level=logging.INFO)
logger = logging.getLogger(__name__)
if args.filename:
logger.info("Loading: {}".format(args.filename[0]))
return args
def get_scenario(args):
m = SourceFileLoader("scenario", args.filename[0])
return m.load_module()
def get_keystone_id():
keystone_project_id = None
for pdp_key, pdp_value in check_pdp()["pdps"].items():
if pdp_value['security_pipeline'] and pdp_value["keystone_project_id"]:
print("Found pdp with keystone_project_id={}".format(pdp_value["keystone_project_id"]))
keystone_project_id = pdp_value["keystone_project_id"]
if not keystone_project_id:
logger.error("Cannot find PDP with keystone project ID")
sys.exit(1)
return keystone_project_id
def send_requests(scenario, keystone_project_id):
time_data = dict()
rules = itertools.product(scenario.subjects.keys(), scenario.objects.keys(), scenario.actions.keys())
for rule in rules:
current_request = dict()
url = "http://172.18.0.11:38001/authz/{}/{}".format(keystone_project_id, "/".join(rule))
current_request['url'] = url
current_request['start'] = time.time()
req = requests.get(url)
print("\033[1m{}\033[m {}".format(url, req.status_code))
try:
j = req.json()
except Exception as e:
print(req.text)
else:
if j.get("authz"):
logger.info("\t\033[32m{}\033[m {}".format(j.get("authz"), j.get("error", "")))
else:
logger.info("\t\033[31m{}\033[m {}".format(j.get("authz"), j.get("error", "")))
current_request['end'] = time.time()
current_request['delta'] = current_request["end"]-current_request["start"]
time_data[url] = current_request
return time_data
def save_data(filename, time_data):
json.dump(time_data, open(filename, "w"))
def get_delta(time_data):
time_delta = list()
time_delta_sum1 = 0
for key in time_data:
time_delta.append(time_data[key]['delta'])
time_delta_sum1 += time_data[key]['delta']
time_delta_average1 = time_delta_sum1 / len(time_data.keys())
return time_delta, time_delta_average1
def write_graph(time_data, legend=None, input=None):
logger.info("Writing graph")
legends = legend.split(",")
result_data = []
time_delta, time_delta_average1 = get_delta(time_data)
# time_delta = list()
# time_delta_sum1 = 0
# for key in time_data:
# time_delta.append(time_data[key]['delta'])
# time_delta_sum1 += time_data[key]['delta']
# time_delta_average1 = time_delta_sum1 / len(time_data.keys())
current_legend = legends.pop()
data1 = Scatter(
x=list(range(len(time_data.keys()))),
y=time_delta,
name=current_legend,
line=dict(
color='rgb(123, 118, 255)',
shape='spline')
)
result_data.append(data1)
data1_a = Scatter(
x=list(range(len(time_data.keys()))),
y=[time_delta_average1 for x in range(len(time_data.keys()))],
name=current_legend + " average",
line=dict(
color='rgb(28, 20, 255)',
shape='spline')
)
result_data.append(data1_a)
time_delta_average2 = None
if input:
current_legend = legends.pop()
time_data2 = json.load(open(input))
time_delta2, time_delta_average2 = get_delta(time_data2)
# time_delta2 = list()
# time_delta_sum2 = 0
# for key in time_data2:
# time_delta.append(time_data2[key]['delta'])
# time_delta_sum2 += time_data2[key]['delta']
# time_delta_average2 = time_delta_sum2 / len(time_data2.keys())
for key in time_data.keys():
if key in time_data2:
time_delta2.append(time_data2[key]['delta'])
else:
time_delta2.append(None)
data2 = Scatter(
x=list(range(len(time_data.keys()))),
y=time_delta2,
name=current_legend,
line=dict(
color='rgb(255, 192, 118)',
shape='spline')
)
result_data.append(data2)
data2_a = Scatter(
x=list(range(len(time_data.keys()))),
y=[time_delta_average2 for x in range(len(time_data.keys()))],
name=current_legend + " average",
line=dict(
color='rgb(255, 152, 33)',
shape='spline')
)
result_data.append(data2_a)
plotly.offline.plot({
"data": result_data,
"layout": Layout(
title="Request times delta",
xaxis=dict(title='Requests'),
yaxis=dict(title='Request duration'),
)
})
if time_delta_average2:
logger.info("Average: {} and {}".format(time_delta_average1, time_delta_average2))
return 1-time_delta_average2/time_delta_average1
return 0
def write_distgraph(time_data, legend=None, input=None):
logger.info("Writing graph")
legends = legend.split(",")[::-1]
result_data = []
time_delta, time_delta_average1 = get_delta(time_data)
result_data.append(time_delta)
time_delta_average2 = None
if input:
time_data2 = json.load(open(input))
time_delta2, time_delta_average2 = get_delta(time_data2)
result_data.append(time_delta2)
# Create distplot with custom bin_size
fig = ff.create_distplot(result_data, legends, bin_size=.2)
# Plot!
plotly.offline.plot(fig)
if time_delta_average2:
logger.info("Average: {} and {}".format(time_delta_average1, time_delta_average2))
return 1-time_delta_average2/time_delta_average1
return 0
def main():
args = init()
scenario = get_scenario(args)
keystone_project_id = get_keystone_id()
time_data = send_requests(scenario, keystone_project_id)
save_data(args.write, time_data)
if not args.testonly:
if args.distgraph:
overhead = write_distgraph(time_data, legend=args.legend, input=args.input)
else:
overhead = write_graph(time_data, legend=args.legend, input=args.input)
logger.info("Overhead: {:.2%}".format(overhead))
if __name__ == "__main__":
main()
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