Preparation for packet mis-ordering stats

Changed PROX and the python scripts so that the "lat all stats" command
also returns the mis_ordered, extent and duplicate statistics.
In order to make this work properly, we need now to also stop and
restart the latency cores, every time we stop and start the generator
cores, since the sequence numbers are reinitialised every time we start
the generator core.

Change-Id: Ic4212a989c8ee9d0f026a34ca63a08b982c32b71
Signed-off-by: Luc Provoost <luc.provoost@intel.com>

1 files changed, 2 insertions, 0 deletions

diff --git a/VNFs/DPPD-PROX/helper-scripts/rapid/rapid_test.py b/VNFs/DPPD-PROX/helper-scripts/rapid/rapid_test.py
index a54caba5..3c13d1aa 100644
--- a/VNFs/DPPD-PROX/helper-scripts/rapid/rapid_test.py
+++ b/VNFs/DPPD-PROX/helper-scripts/rapid/rapid_test.py
@@ -183,6 +183,7 @@ class RapidTest(object):
         r = 0;
         sleep_time = 2
         while (r < self.test['maxr']):
+            self.gen_machine.start_latency_cores()
             time.sleep(sleep_time)
             # Sleep_time is needed to be able to do accurate measurements to check for packet loss. We need to make this time large enough so that we do not take the first measurement while some packets from the previous tests migth still be in flight
             t1_rx, t1_non_dp_rx, t1_tx, t1_non_dp_tx, t1_drop, t1_tx_fail, t1_tsc, abs_tsc_hz = self.gen_machine.core_stats()
@@ -424,4 +425,5 @@ class RapidTest(object):
                 drop_rate = 100.0*tot_dp_drop/dp_tx
                 if ((drop_rate < self.test['drop_rate_threshold']) or (tot_dp_drop == self.test['drop_rate_threshold'] ==0) or (tot_dp_drop > self.test['maxz'])):
                     break
+            self.gen_machine.stop_latency_cores()
         return(pps_req_tx,pps_tx,pps_sut_tx,pps_rx,lat_avg,percentile,percentile_max,lat_max,dp_tx,dp_rx,tot_dp_drop,(t4_tx_fail - t1_tx_fail),drop_rate,lat_min,used_avg,r,tot_core_measurement_duration,avg_bg_rate,bucket_size,buckets)