summaryrefslogtreecommitdiffstats
path: root/nfvbench/traffic_client.py
diff options
context:
space:
mode:
Diffstat (limited to 'nfvbench/traffic_client.py')
-rwxr-xr-xnfvbench/traffic_client.py33
1 files changed, 18 insertions, 15 deletions
diff --git a/nfvbench/traffic_client.py b/nfvbench/traffic_client.py
index 8ef0403..f26a747 100755
--- a/nfvbench/traffic_client.py
+++ b/nfvbench/traffic_client.py
@@ -14,7 +14,6 @@
"""Interface to the traffic generator clients including NDR/PDR binary search."""
-from datetime import datetime
from math import gcd
import socket
import struct
@@ -1108,25 +1107,29 @@ class TrafficClient(object):
LOG.info('Average drop rate: %f', stats['overall']['drop_rate_percent'])
return stats, current_traffic_config['direction-total']
- @staticmethod
- def log_stats(stats):
+ def log_stats(self, stats):
"""Log estimated stats during run."""
- report = {
- 'datetime': str(datetime.now()),
- 'tx_packets': stats['overall']['tx']['total_pkts'],
- 'rx_packets': stats['overall']['rx']['total_pkts'],
- 'drop_packets': stats['overall']['rx']['dropped_pkts'],
- 'drop_rate_percent': stats['overall']['drop_rate_percent']
- }
- LOG.info('TX: %(tx_packets)d; '
- 'RX: %(rx_packets)d; '
- 'Est. Dropped: %(drop_packets)d; '
- 'Est. Drop rate: %(drop_rate_percent).4f%%',
- report)
+ # Calculate a rolling drop rate based on differential to
+ # the previous reading
+ cur_tx = stats['overall']['tx']['total_pkts']
+ cur_rx = stats['overall']['rx']['total_pkts']
+ delta_tx = cur_tx - self.prev_tx
+ delta_rx = cur_rx - self.prev_rx
+ drops = delta_tx - delta_rx
+ drop_rate_pct = 100 * (delta_tx - delta_rx)/delta_tx
+ self.prev_tx = cur_tx
+ self.prev_rx = cur_rx
+ LOG.info('TX: %15s; RX: %15s; (Est.) Dropped: %12s; Drop rate: %8.4f%%',
+ format(cur_tx, ',d'),
+ format(cur_rx, ',d'),
+ format(drops, ',d'),
+ drop_rate_pct)
def run_traffic(self):
"""Start traffic and return intermediate stats for each interval."""
stats = self.runner.run()
+ self.prev_tx = 0
+ self.prev_rx = 0
while self.runner.is_running:
self.log_stats(stats)
yield stats