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import argparse
import stf_path
from trex_stf_lib.trex_client import CTRexClient
from pprint import pprint
import csv
import math
# sample TRex stateful to chnage active-flows and get results
def minimal_stateful_test(server,csv_file,a_active_flows):
trex_client = CTRexClient(server)
trex_client.start_trex(
c = 7,
m = 30000,
# f = 'cap2/cur_flow_single.yaml',
f = 'cap2/cur_flow.yaml',
d = 30,
l = 1000,
p=True,
cfg = "cfg/trex_08_5mflows.yaml",
active_flows=a_active_flows,
nc=True
)
result = trex_client.sample_to_run_finish()
active_flows = result.get_value_list('trex-global.data.m_active_flows')
cpu_utl = result.get_value_list('trex-global.data.m_cpu_util')
pps = result.get_value_list('trex-global.data.m_tx_pps')
queue_full = result.get_value_list('trex-global.data.m_total_queue_full')
if queue_full[-1]>10000:
print("WARNING QUEU WAS FULL");
tuple=(active_flows[-5],cpu_utl[-5],pps[-5],queue_full[-1])
file_writer = csv.writer(test_file)
file_writer.writerow(tuple);
if __name__ == '__main__':
test_file = open('tw_2_layers.csv', 'wb');
parser = argparse.ArgumentParser(description="active-flow example")
parser.add_argument('-s', '--server',
dest='server',
help='Remote trex address',
default='127.0.0.1',
type = str)
args = parser.parse_args()
max_flows = 8000000;
min_flows = 100;
active_flow = min_flows;
num_point = 10
factor = math.exp(math.log(max_flows/min_flows,math.e)/num_point);
for i in range(num_point+1):
print("<<=====================>>",i,math.floor(active_flow))
minimal_stateful_test(args.server,test_file,math.floor(active_flow))
active_flow=active_flow*factor
test_file.close();
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