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authorDanielMartinBuckley <daniel.m.buckley@intel.com>2018-02-16 15:39:41 +0000
committerAbhijit Sinha <abhijit.sinha@intel.com>2018-02-28 11:40:09 +0000
commitb0b7366493d0dabf5d886c6eea07cd0fc055264d (patch)
treeb24731fb733f18c7779a4d7ebb4d8734af55636a
parenta301d172e9b7df272a882e88407c8e14cfed2b62 (diff)
Addition of storage of extra counters for Grafana
JIRA: YARDSTICK-1036 This stores a number of extra counters in influxdb for Prox test cases. It also stores existing counters with a "succcess_" tag. Previously throughput where stored without success or failure indication. Also "Result_" counters are also stored. These can now be used by Grafana to graph output. Change-Id: Ie5636c14ecbab1b53a988bdfbd47ddd1fcdbd695 Signed-off-by: Daniel Martin Buckley <daniel.m.buckley@intel.com>
-rw-r--r--dashboard/Prox_BM_L2FWD-4Port_MultiSize-1518452496550.json5817
-rw-r--r--samples/vnf_samples/nsut/prox/configs/gen_l2fwd-2.cfg10
-rw-r--r--samples/vnf_samples/nsut/prox/configs/gen_l2fwd-4.cfg16
-rw-r--r--samples/vnf_samples/traffic_profiles/prox_binsearch.yaml6
-rw-r--r--tests/unit/network_services/traffic_profile/test_prox_binsearch.py94
-rw-r--r--tests/unit/network_services/vnf_generic/vnf/test_prox_helpers.py26
-rw-r--r--tests/unit/network_services/vnf_generic/vnf/test_prox_vnf.py10
-rw-r--r--yardstick/network_services/traffic_profile/prox_binsearch.py51
-rw-r--r--yardstick/network_services/vnf_generic/vnf/prox_helpers.py42
-rw-r--r--yardstick/network_services/vnf_generic/vnf/prox_vnf.py26
10 files changed, 6047 insertions, 51 deletions
diff --git a/dashboard/Prox_BM_L2FWD-4Port_MultiSize-1518452496550.json b/dashboard/Prox_BM_L2FWD-4Port_MultiSize-1518452496550.json
new file mode 100644
index 000000000..3c78ab18d
--- /dev/null
+++ b/dashboard/Prox_BM_L2FWD-4Port_MultiSize-1518452496550.json
@@ -0,0 +1,5817 @@
+{
+ "__inputs": [
+ {
+ "name": "DS_YARDSTICK",
+ "label": "yardstick",
+ "description": "",
+ "type": "datasource",
+ "pluginId": "influxdb",
+ "pluginName": "InfluxDB"
+ }
+ ],
+ "__requires": [
+ {
+ "type": "grafana",
+ "id": "grafana",
+ "name": "Grafana",
+ "version": "4.4.3"
+ },
+ {
+ "type": "panel",
+ "id": "graph",
+ "name": "Graph",
+ "version": ""
+ },
+ {
+ "type": "datasource",
+ "id": "influxdb",
+ "name": "InfluxDB",
+ "version": "1.0.0"
+ },
+ {
+ "type": "panel",
+ "id": "singlestat",
+ "name": "Singlestat",
+ "version": ""
+ },
+ {
+ "type": "panel",
+ "id": "text",
+ "name": "Text",
+ "version": ""
+ }
+ ],
+ "annotations": {
+ "list": []
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+ "editable": true,
+ "gnetId": null,
+ "graphTooltip": 0,
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+ "id": null,
+ "links": [],
+ "refresh": false,
+ "rows": [
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+ "height": "100px",
+ "panels": [
+ {
+ "content": "<h5 style=\"font-family:Verdana\"> <a style=\"color:#31A7D3\"><a style=\"font: 32px '#31A7D3'\"><center>OPNFV_Yardstick_NSB_PROX_BM_L2FWD_4Port_Test</center> </a></h5>\n<center>\n<p>The application does Port forwarding without touching packets. It will take packets in from one port and forward them unmodified to another port </p>\n<p>The KPI is the number of packets per second for a specified packet size with an accepted minimal packet loss </p>\n</center>",
+ "editable": true,
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+ {
+ "content": "<h5 style=\"font-family:Verdana\"> <a style=\"color:#31A7D3\"><a style=\"font: 22px '#31A7D3'\"><center>Throughput</center> </a></h5>\n",
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+ "measurement": "tc_prox_baremetal_l2fwd-4",
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+ "editable": true,
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+ "grid": {},
+ "id": 9,
+ "legend": {
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+ "avg": true,
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+ "min": true,
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+ },
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+ ],
+ "type": "field"
+ },
+ {
+ "params": [],
+ "type": "mean"
+ }
+ ]
+ ],
+ "tags": []
+ },
+ {
+ "alias": "TG xe-3 in packets",
+ "dsType": "influxdb",
+ "groupBy": [
+ {
+ "params": [
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+ ],
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+ },
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+ }
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+ "tags": []
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+ "fillColor": "rgba(216, 200, 27, 0.27)",
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+ },
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+ "fill": true,
+ "fillColor": "rgba(234, 112, 112, 0.22)",
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+ "value": 2
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+ "timeShift": null,
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+ "value_type": "cumulative"
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+ "repeat": null,
+ "repeatIteration": null,
+ "repeatRowId": null,
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+ "title": "Dashboard Row",
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+ "height": "40px",
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+ "links": [],
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+ "showTitle": false,
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+ "titleSize": "h6"
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+ "panels": [
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+ "bars": false,
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+ "dashes": false,
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+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": "0",
+ "show": true
+ }
+ ]
+ },
+ {
+ "aliasColors": {},
+ "bars": false,
+ "dashLength": 10,
+ "dashes": false,
+ "datasource": "${DS_YARDSTICK}",
+ "decimals": 5,
+ "fill": 1,
+ "height": "300px",
+ "id": 53,
+ "legend": {
+ "alignAsTable": true,
+ "avg": true,
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+ "max": true,
+ "min": true,
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+ "sortDesc": true,
+ "total": false,
+ "values": true
+ },
+ "lines": true,
+ "linewidth": 2,
+ "links": [],
+ "nullPointMode": "connected",
+ "percentage": false,
+ "pointradius": 5,
+ "points": false,
+ "renderer": "flot",
+ "seriesOverrides": [],
+ "spaceLength": 10,
+ "span": 6,
+ "stack": false,
+ "steppedLine": false,
+ "targets": [
+ {
+ "alias": "CPU 1 Utilization - L2FWD XE0 to XE1",
+ "dsType": "influxdb",
+ "groupBy": [
+ {
+ "params": [
+ "$__interval"
+ ],
+ "type": "time"
+ },
+ {
+ "params": [
+ "none"
+ ],
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+ "measurement": "tc_prox_baremetal_l2fwd-4",
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+ "policy": "default",
+ "refId": "B",
+ "resultFormat": "time_series",
+ "select": [
+ [
+ {
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+ "vnf__0.collect_stats.core.cpu.1.percent-user"
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+ "type": "field"
+ },
+ {
+ "params": [],
+ "type": "distinct"
+ }
+ ]
+ ],
+ "tags": []
+ }
+ ],
+ "thresholds": [],
+ "timeFrom": null,
+ "timeShift": null,
+ "title": "CPU 1 Utilization - L2FWD XE0 to XE1",
+ "tooltip": {
+ "shared": true,
+ "sort": 0,
+ "value_type": "individual"
+ },
+ "type": "graph",
+ "xaxis": {
+ "buckets": null,
+ "mode": "time",
+ "name": null,
+ "show": true,
+ "values": []
+ },
+ "yaxes": [
+ {
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+ "label": "% Utilization",
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+ "min": "0",
+ "show": true
+ },
+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": "0",
+ "show": true
+ }
+ ]
+ },
+ {
+ "aliasColors": {},
+ "bars": false,
+ "dashLength": 10,
+ "dashes": false,
+ "datasource": "${DS_YARDSTICK}",
+ "decimals": 5,
+ "fill": 1,
+ "height": "300px",
+ "id": 54,
+ "legend": {
+ "alignAsTable": true,
+ "avg": true,
+ "current": false,
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+ "min": true,
+ "show": true,
+ "sortDesc": true,
+ "total": false,
+ "values": true
+ },
+ "lines": true,
+ "linewidth": 2,
+ "links": [],
+ "nullPointMode": "connected",
+ "percentage": false,
+ "pointradius": 5,
+ "points": false,
+ "renderer": "flot",
+ "seriesOverrides": [],
+ "spaceLength": 10,
+ "span": 6,
+ "stack": false,
+ "steppedLine": false,
+ "targets": [
+ {
+ "alias": "CPU 2 Utilization",
+ "dsType": "influxdb",
+ "groupBy": [
+ {
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+ "$__interval"
+ ],
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+ "vnf__0.collect_stats.core.cpu.2.percent-user"
+ ],
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+ },
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+ "type": "distinct"
+ }
+ ]
+ ],
+ "tags": []
+ }
+ ],
+ "thresholds": [],
+ "timeFrom": null,
+ "timeShift": null,
+ "title": "CPU 2 Utilization - L2FWD XE1 to XE0",
+ "tooltip": {
+ "shared": true,
+ "sort": 0,
+ "value_type": "individual"
+ },
+ "type": "graph",
+ "xaxis": {
+ "buckets": null,
+ "mode": "time",
+ "name": null,
+ "show": true,
+ "values": []
+ },
+ "yaxes": [
+ {
+ "format": "short",
+ "label": "% Utilization",
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+ "min": "0",
+ "show": true
+ },
+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": "0",
+ "show": true
+ }
+ ]
+ },
+ {
+ "aliasColors": {},
+ "bars": false,
+ "dashLength": 10,
+ "dashes": false,
+ "datasource": "${DS_YARDSTICK}",
+ "decimals": 5,
+ "fill": 1,
+ "height": "300px",
+ "id": 55,
+ "legend": {
+ "alignAsTable": true,
+ "avg": true,
+ "current": false,
+ "max": true,
+ "min": true,
+ "show": true,
+ "sortDesc": true,
+ "total": false,
+ "values": true
+ },
+ "lines": true,
+ "linewidth": 2,
+ "links": [],
+ "nullPointMode": "connected",
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+ "pointradius": 5,
+ "points": false,
+ "renderer": "flot",
+ "seriesOverrides": [],
+ "spaceLength": 10,
+ "span": 6,
+ "stack": false,
+ "steppedLine": false,
+ "targets": [
+ {
+ "alias": "CPU 3 Utilization",
+ "dsType": "influxdb",
+ "groupBy": [
+ {
+ "params": [
+ "$__interval"
+ ],
+ "type": "time"
+ },
+ {
+ "params": [
+ "none"
+ ],
+ "type": "fill"
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+ "measurement": "tc_prox_baremetal_l2fwd-4",
+ "orderByTime": "ASC",
+ "policy": "default",
+ "refId": "B",
+ "resultFormat": "time_series",
+ "select": [
+ [
+ {
+ "params": [
+ "vnf__0.collect_stats.core.cpu.3.percent-user"
+ ],
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+ },
+ {
+ "params": [],
+ "type": "distinct"
+ }
+ ]
+ ],
+ "tags": []
+ }
+ ],
+ "thresholds": [],
+ "timeFrom": null,
+ "timeShift": null,
+ "title": "CPU 3 Utilization - L2FWD XE2 to XE3",
+ "tooltip": {
+ "shared": true,
+ "sort": 0,
+ "value_type": "individual"
+ },
+ "type": "graph",
+ "xaxis": {
+ "buckets": null,
+ "mode": "time",
+ "name": null,
+ "show": true,
+ "values": []
+ },
+ "yaxes": [
+ {
+ "format": "short",
+ "label": "% Utilization",
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+ "max": "100",
+ "min": "0",
+ "show": true
+ },
+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": "0",
+ "show": true
+ }
+ ]
+ },
+ {
+ "aliasColors": {},
+ "bars": false,
+ "dashLength": 10,
+ "dashes": false,
+ "datasource": "${DS_YARDSTICK}",
+ "decimals": 5,
+ "fill": 1,
+ "height": "300px",
+ "id": 56,
+ "legend": {
+ "alignAsTable": true,
+ "avg": true,
+ "current": false,
+ "max": true,
+ "min": true,
+ "show": true,
+ "sortDesc": true,
+ "total": false,
+ "values": true
+ },
+ "lines": true,
+ "linewidth": 2,
+ "links": [],
+ "nullPointMode": "connected",
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+ "pointradius": 5,
+ "points": false,
+ "renderer": "flot",
+ "seriesOverrides": [],
+ "spaceLength": 10,
+ "span": 6,
+ "stack": false,
+ "steppedLine": false,
+ "targets": [
+ {
+ "alias": "CPU 4 Utilization",
+ "dsType": "influxdb",
+ "groupBy": [
+ {
+ "params": [
+ "$__interval"
+ ],
+ "type": "time"
+ },
+ {
+ "params": [
+ "none"
+ ],
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+ {
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+ ],
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+ },
+ {
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+ "type": "distinct"
+ }
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+ ],
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+ }
+ ],
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+ "timeShift": null,
+ "title": "CPU 4 Utilization - L2FWD XE3 to XE2",
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+ "shared": true,
+ "sort": 0,
+ "value_type": "individual"
+ },
+ "type": "graph",
+ "xaxis": {
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+ "mode": "time",
+ "name": null,
+ "show": true,
+ "values": []
+ },
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+ "label": "% Utilization",
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+ "show": true
+ },
+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": "0",
+ "show": true
+ }
+ ]
+ },
+ {
+ "aliasColors": {},
+ "bars": false,
+ "dashLength": 10,
+ "dashes": false,
+ "datasource": "${DS_YARDSTICK}",
+ "decimals": 5,
+ "fill": 1,
+ "height": "300px",
+ "id": 57,
+ "legend": {
+ "alignAsTable": true,
+ "avg": true,
+ "current": false,
+ "max": true,
+ "min": true,
+ "show": true,
+ "sortDesc": true,
+ "total": false,
+ "values": true
+ },
+ "lines": true,
+ "linewidth": 2,
+ "links": [],
+ "nullPointMode": "connected",
+ "percentage": false,
+ "pointradius": 5,
+ "points": false,
+ "renderer": "flot",
+ "seriesOverrides": [],
+ "spaceLength": 10,
+ "span": 6,
+ "stack": false,
+ "steppedLine": false,
+ "targets": [
+ {
+ "alias": "CPU 5 Utilization",
+ "dsType": "influxdb",
+ "groupBy": [
+ {
+ "params": [
+ "$__interval"
+ ],
+ "type": "time"
+ },
+ {
+ "params": [
+ "none"
+ ],
+ "type": "fill"
+ }
+ ],
+ "measurement": "tc_prox_baremetal_l2fwd-4",
+ "orderByTime": "ASC",
+ "policy": "default",
+ "refId": "B",
+ "resultFormat": "time_series",
+ "select": [
+ [
+ {
+ "params": [
+ "vnf__0.collect_stats.core.cpu.5.percent-user"
+ ],
+ "type": "field"
+ },
+ {
+ "params": [],
+ "type": "distinct"
+ }
+ ]
+ ],
+ "tags": []
+ }
+ ],
+ "thresholds": [],
+ "timeFrom": null,
+ "timeShift": null,
+ "title": "CPU 5 Utilization",
+ "tooltip": {
+ "shared": true,
+ "sort": 0,
+ "value_type": "individual"
+ },
+ "type": "graph",
+ "xaxis": {
+ "buckets": null,
+ "mode": "time",
+ "name": null,
+ "show": true,
+ "values": []
+ },
+ "yaxes": [
+ {
+ "format": "short",
+ "label": "% Utilization",
+ "logBase": 1,
+ "max": "100",
+ "min": "0",
+ "show": true
+ },
+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": "0",
+ "show": true
+ }
+ ]
+ }
+ ],
+ "repeat": null,
+ "repeatIteration": null,
+ "repeatRowId": null,
+ "showTitle": false,
+ "title": "Dashboard Row",
+ "titleSize": "h6"
+ }
+ ],
+ "schemaVersion": 14,
+ "style": "dark",
+ "tags": [
+ "yardstick",
+ "NSB",
+ "Prox",
+ "L2fwd",
+ "4Port",
+ "BM"
+ ],
+ "templating": {
+ "list": []
+ },
+ "time": {
+ "from": "2018-02-12T15:17:27.733Z",
+ "to": "2018-02-12T16:44:28.270Z"
+ },
+ "timepicker": {
+ "refresh_intervals": [
+ "5s",
+ "10s",
+ "30s",
+ "1m",
+ "5m",
+ "15m",
+ "30m",
+ "1h",
+ "2h",
+ "1d"
+ ],
+ "time_options": [
+ "5m",
+ "15m",
+ "1h",
+ "6h",
+ "12h",
+ "24h",
+ "2d",
+ "7d",
+ "30d"
+ ]
+ },
+ "timezone": "browser",
+ "title": "Prox_BM_L2FWD-4Port_MultiSize",
+ "version": 29
+} \ No newline at end of file
diff --git a/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-2.cfg b/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-2.cfg
index e7fad98bf..192f2f89a 100644
--- a/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-2.cfg
+++ b/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-2.cfg
@@ -49,7 +49,8 @@ mode=gen
tx port=p0
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac0} 70 00 00 00 00 01 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d 00 00 00 01 00 00 00 02 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac0} 3c fd fe 9f a3 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+lat pos=38
[core 2]
name=gen 1
@@ -58,19 +59,20 @@ mode=gen
tx port=p1
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac1} 70 00 00 00 00 02 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d 00 00 00 01 00 00 00 03 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac1} 3c fd fe 9f a3 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+lat pos=38
[core 3]
name=rec 0
task=0
mode=lat
rx port=p0
-lat pos=42
+lat pos=38
[core 4]
name=rec 0
task=0
mode=lat
rx port=p1
-lat pos=42
+lat pos=38
diff --git a/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-4.cfg b/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-4.cfg
index 5b79185a7..0db21b681 100644
--- a/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-4.cfg
+++ b/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-4.cfg
@@ -61,7 +61,8 @@ mode=gen
tx port=p0
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac0} 3c fd fe 9f a3 a0 08 a0 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac0} 3c fd fe 9f a3 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+lat pos=38
[core 2]
name=gen 1
@@ -70,7 +71,8 @@ mode=gen
tx port=p1
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac1} 3c fd fe 9f a5 50 08 a0 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac1} 3c fd fe 9f a3 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+lat pos=38
[core 3]
name=gen 2
@@ -79,7 +81,8 @@ mode=gen
tx port=p2
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac2} 3c fd fe 9f a5 50 08 a0 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac2} 3c fd fe 9f a5 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+lat pos=38
[core 4]
name=gen 3
@@ -88,28 +91,33 @@ mode=gen
tx port=p3
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac3} 3c fd fe 9f a5 50 08 a0 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac3} 3c fd fe 9f a5 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+lat pos=38
[core 5]
name=rec 0
task=0
mode=lat
rx port=p0
+lat pos=38
[core 6]
name=rec 1
task=0
mode=lat
rx port=p1
+lat pos=38
[core 7]
name=rec 2
task=0
mode=lat
rx port=p2
+lat pos=38
[core 8]
name=rec 3
task=0
mode=lat
rx port=p3
+lat pos=38 \ No newline at end of file
diff --git a/samples/vnf_samples/traffic_profiles/prox_binsearch.yaml b/samples/vnf_samples/traffic_profiles/prox_binsearch.yaml
index 805250ee3..e1a4f59de 100644
--- a/samples/vnf_samples/traffic_profiles/prox_binsearch.yaml
+++ b/samples/vnf_samples/traffic_profiles/prox_binsearch.yaml
@@ -21,9 +21,9 @@ traffic_profile:
traffic_type: ProxBinSearchProfile
tolerated_loss: 0.001
test_precision: 0.1
-# packet_sizes: [64, 128, 256, 512, 1024, 1280, 1518]
- packet_sizes: [64]
- duration: 10
+ packet_sizes: [64, 128, 256, 512, 1024, 1280, 1518]
+ # packet_sizes: [64]
+ duration: 30
lower_bound: 0.0
upper_bound: 100.0
diff --git a/tests/unit/network_services/traffic_profile/test_prox_binsearch.py b/tests/unit/network_services/traffic_profile/test_prox_binsearch.py
index c1f1c825b..1b4189b48 100644
--- a/tests/unit/network_services/traffic_profile/test_prox_binsearch.py
+++ b/tests/unit/network_services/traffic_profile/test_prox_binsearch.py
@@ -32,7 +32,7 @@ if stl_patch:
class TestProxBinSearchProfile(unittest.TestCase):
def test_execute_1(self):
- def target(*args, **kwargs):
+ def target(*args, **_):
runs.append(args[2])
if args[2] < 0 or args[2] > 100:
raise RuntimeError(' '.join([str(args), str(runs)]))
@@ -43,6 +43,8 @@ class TestProxBinSearchProfile(unittest.TestCase):
tp_config = {
'traffic_profile': {
'packet_sizes': [200],
+ 'test_precision': 2.0,
+ 'tolerated_loss': 0.001,
},
}
@@ -61,11 +63,47 @@ class TestProxBinSearchProfile(unittest.TestCase):
profile.execute_traffic(traffic_generator)
self.assertEqual(round(profile.current_lower, 2), 74.69)
- self.assertEqual(round(profile.current_upper, 2), 75.39)
- self.assertEqual(len(runs), 8)
+ self.assertEqual(round(profile.current_upper, 2), 76.09)
+ self.assertEqual(len(runs), 7)
+
+ # Result Samples inc theor_max
+ result_tuple = {"Result_Actual_throughput": 7.5e-07,
+ "Result_theor_max_throughput": 0.00012340000000000002,
+ "Result_pktSize": 200}
+ profile.queue.put.assert_called_with(result_tuple)
+
+ success_result_tuple = {"Success_CurrentDropPackets": 0.5,
+ "Success_DropPackets": 0.5,
+ "Success_LatencyAvg": 5.3,
+ "Success_LatencyMax": 5.2,
+ "Success_LatencyMin": 5.1,
+ "Success_PktSize": 200,
+ "Success_RxThroughput": 7.5e-07,
+ "Success_Throughput": 7.5e-07,
+ "Success_TxThroughput": 0.00012340000000000002}
+
+ calls = profile.queue.put(success_result_tuple)
+ profile.queue.put.assert_has_calls(calls)
+
+ success_result_tuple2 = {"Success_CurrentDropPackets": 0.5,
+ "Success_DropPackets": 0.5,
+ "Success_LatencyAvg": 5.3,
+ "Success_LatencyMax": 5.2,
+ "Success_LatencyMin": 5.1,
+ "Success_PktSize": 200,
+ "Success_RxThroughput": 7.5e-07,
+ "Success_Throughput": 7.5e-07,
+ "Success_TxThroughput": 123.4,
+ "Success_can_be_lost": 409600,
+ "Success_drop_total": 20480,
+ "Success_rx_total": 4075520,
+ "Success_tx_total": 4096000}
+
+ calls = profile.queue.put(success_result_tuple2)
+ profile.queue.put.assert_has_calls(calls)
def test_execute_2(self):
- def target(*args, **kwargs):
+ def target(*args, **_):
runs.append(args[2])
if args[2] < 0 or args[2] > 100:
raise RuntimeError(' '.join([str(args), str(runs)]))
@@ -77,6 +115,7 @@ class TestProxBinSearchProfile(unittest.TestCase):
'traffic_profile': {
'packet_sizes': [200],
'test_precision': 2.0,
+ 'tolerated_loss': 0.001,
},
}
@@ -97,3 +136,50 @@ class TestProxBinSearchProfile(unittest.TestCase):
self.assertEqual(round(profile.current_lower, 2), 24.06)
self.assertEqual(round(profile.current_upper, 2), 25.47)
self.assertEqual(len(runs), 7)
+
+ def test_execute_3(self):
+ def target(*args, **_):
+ runs.append(args[2])
+ if args[2] < 0 or args[2] > 100:
+ raise RuntimeError(' '.join([str(args), str(runs)]))
+ if args[2] > 75.0:
+ return fail_tuple, {}
+ return success_tuple, {}
+
+ tp_config = {
+ 'traffic_profile': {
+ 'packet_sizes': [200],
+ 'test_precision': 2.0,
+ 'tolerated_loss': 0.001,
+ },
+ }
+
+ runs = []
+ success_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.1, 5.2, 5.3], 995, 1000, 123.4)
+ fail_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.6, 5.7, 5.8], 850, 1000, 123.4)
+
+ traffic_generator = mock.MagicMock()
+
+ profile_helper = mock.MagicMock()
+ profile_helper.run_test = target
+
+ profile = ProxBinSearchProfile(tp_config)
+ profile.init(mock.MagicMock())
+ profile._profile_helper = profile_helper
+
+ profile.upper_bound = 100.0
+ profile.lower_bound = 99.0
+ profile.execute_traffic(traffic_generator)
+
+
+ # Result Samples
+ result_tuple = {"Result_theor_max_throughput": 0, "Result_pktSize": 200}
+ profile.queue.put.assert_called_with(result_tuple)
+
+ # Check for success_ tuple (None expected)
+ calls = profile.queue.put.mock_calls
+ for call in calls:
+ for call_detail in call[1]:
+ for k in call_detail:
+ if "Success_" in k:
+ self.assertRaises(AttributeError)
diff --git a/tests/unit/network_services/vnf_generic/vnf/test_prox_helpers.py b/tests/unit/network_services/vnf_generic/vnf/test_prox_helpers.py
index 0ac46c632..ac67cc52c 100644
--- a/tests/unit/network_services/vnf_generic/vnf/test_prox_helpers.py
+++ b/tests/unit/network_services/vnf_generic/vnf/test_prox_helpers.py
@@ -1730,7 +1730,7 @@ class TestProxProfileHelper(unittest.TestCase):
}
self.assertIsNone(helper._test_cores)
- expected = [12, 23]
+ expected = [3, 4]
result = helper.test_cores
self.assertEqual(result, expected)
self.assertIs(result, helper._test_cores)
@@ -1787,7 +1787,7 @@ class TestProxProfileHelper(unittest.TestCase):
}
self.assertIsNone(helper._latency_cores)
- expected = [12, 23]
+ expected = [3, 4]
result = helper.latency_cores
self.assertEqual(result, expected)
self.assertIs(result, helper._latency_cores)
@@ -1842,7 +1842,7 @@ class TestProxProfileHelper(unittest.TestCase):
}
}
- expected = [7, 8]
+ expected = [3, 4]
result = helper.get_cores(helper.PROX_CORE_GEN_MODE)
self.assertEqual(result, expected)
@@ -1984,8 +1984,8 @@ class TestProxMplsProfileHelper(unittest.TestCase):
}
}
- expected_tagged = [7]
- expected_plain = [8]
+ expected_tagged = [3]
+ expected_plain = [4]
self.assertIsNone(helper._cores_tuple)
self.assertEqual(helper.tagged_cores, expected_tagged)
self.assertEqual(helper.plain_cores, expected_plain)
@@ -2060,10 +2060,10 @@ class TestProxBngProfileHelper(unittest.TestCase):
}
}
- expected_cpe = [7]
- expected_inet = [8]
- expected_arp = [4, 3]
- expected_arp_task = [0, 4]
+ expected_cpe = [3]
+ expected_inet = [4]
+ expected_arp = [6, 9]
+ expected_arp_task = [0, 6]
expected_combined = (expected_cpe, expected_inet, expected_arp, expected_arp_task)
self.assertIsNone(helper._cores_tuple)
@@ -2131,8 +2131,8 @@ class TestProxVpeProfileHelper(unittest.TestCase):
}
}
- expected_cpe = [7]
- expected_inet = [8]
+ expected_cpe = [3]
+ expected_inet = [4]
expected_combined = (expected_cpe, expected_inet)
self.assertIsNone(helper._cores_tuple)
@@ -2245,8 +2245,8 @@ class TestProxlwAFTRProfileHelper(unittest.TestCase):
}
}
- expected_tun = [7]
- expected_inet = [8]
+ expected_tun = [3]
+ expected_inet = [4]
expected_combined = (expected_tun, expected_inet)
self.assertIsNone(helper._cores_tuple)
diff --git a/tests/unit/network_services/vnf_generic/vnf/test_prox_vnf.py b/tests/unit/network_services/vnf_generic/vnf/test_prox_vnf.py
index 769279066..08be4865b 100644
--- a/tests/unit/network_services/vnf_generic/vnf/test_prox_vnf.py
+++ b/tests/unit/network_services/vnf_generic/vnf/test_prox_vnf.py
@@ -131,6 +131,8 @@ class TestProxApproxVnf(unittest.TestCase):
'packets_in',
'packets_fwd',
'packets_dropped',
+ 'curr_packets_fwd',
+ 'curr_packets_in'
],
},
'connection-point': [
@@ -329,7 +331,7 @@ class TestProxApproxVnf(unittest.TestCase):
'packets_in': 0,
'packets_dropped': 0,
'packets_fwd': 0,
- 'collect_stats': {'core': {}},
+ 'collect_stats': {'core': {}}
}
result = prox_approx_vnf.collect_kpi()
self.assertEqual(result, expected)
@@ -352,7 +354,11 @@ class TestProxApproxVnf(unittest.TestCase):
'collect_stats': {'core': {'result': 234}},
}
result = prox_approx_vnf.collect_kpi()
- self.assertEqual(result, expected)
+ self.assertEqual(result['packets_in'], expected['packets_in'])
+ self.assertEqual(result['packets_dropped'], expected['packets_dropped'])
+ self.assertEqual(result['packets_fwd'], expected['packets_fwd'])
+ self.assertNotEqual(result['packets_fwd'], 0)
+ self.assertNotEqual(result['packets_fwd'], 0)
@mock.patch(SSH_HELPER)
def test_collect_kpi_error(self, ssh, *args):
diff --git a/yardstick/network_services/traffic_profile/prox_binsearch.py b/yardstick/network_services/traffic_profile/prox_binsearch.py
index 1fd6ec41a..5700f98e5 100644
--- a/yardstick/network_services/traffic_profile/prox_binsearch.py
+++ b/yardstick/network_services/traffic_profile/prox_binsearch.py
@@ -16,6 +16,8 @@
from __future__ import absolute_import
import logging
+import datetime
+import time
from yardstick.network_services.traffic_profile.prox_profile import ProxProfile
@@ -81,19 +83,66 @@ class ProxBinSearchProfile(ProxProfile):
# success, the binary search will complete on an integer multiple
# of the precision, rather than on a fraction of it.
+ theor_max_thruput = 0
+
+ result_samples = {}
+
+ # Store one time only value in influxdb
+ single_samples = {
+ "test_duration" : traffic_gen.scenario_helper.scenario_cfg["runner"]["duration"],
+ "test_precision" : self.params["traffic_profile"]["test_precision"],
+ "tolerated_loss" : self.params["traffic_profile"]["tolerated_loss"],
+ "duration" : duration
+ }
+ self.queue.put(single_samples)
+ self.prev_time = time.time()
+
# throughput and packet loss from the most recent successful test
successful_pkt_loss = 0.0
for test_value in self.bounds_iterator(LOG):
result, port_samples = self._profile_helper.run_test(pkt_size, duration,
test_value, self.tolerated_loss)
+ self.curr_time = time.time()
+ diff_time = self.curr_time - self.prev_time
+ self.prev_time = self.curr_time
if result.success:
LOG.debug("Success! Increasing lower bound")
self.current_lower = test_value
successful_pkt_loss = result.pkt_loss
+ samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples)
+ samples["TxThroughput"] = samples["TxThroughput"] * 1000 * 1000
+
+ # store results with success tag in influxdb
+ success_samples = {'Success_' + key: value for key, value in samples.items()}
+
+ success_samples["Success_rx_total"] = int(result.rx_total / diff_time)
+ success_samples["Success_tx_total"] = int(result.tx_total / diff_time)
+ success_samples["Success_can_be_lost"] = int(result.can_be_lost / diff_time)
+ success_samples["Success_drop_total"] = int(result.drop_total / diff_time)
+ self.queue.put(success_samples)
+
+ # Store Actual throughput for result samples
+ result_samples["Result_Actual_throughput"] = \
+ success_samples["Success_RxThroughput"]
else:
LOG.debug("Failure... Decreasing upper bound")
self.current_upper = test_value
+ samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples)
+
+ for k in samples:
+ tmp = samples[k]
+ if isinstance(tmp, dict):
+ for k2 in tmp:
+ samples[k][k2] = int(samples[k][k2] / diff_time)
- samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples)
+ if theor_max_thruput < samples["TxThroughput"]:
+ theor_max_thruput = samples['TxThroughput']
+ self.queue.put({'theor_max_throughput': theor_max_thruput})
+
+ LOG.debug("Collect TG KPIs %s %s", datetime.datetime.now(), samples)
self.queue.put(samples)
+
+ result_samples["Result_pktSize"] = pkt_size
+ result_samples["Result_theor_max_throughput"] = theor_max_thruput/ (1000 * 1000)
+ self.queue.put(result_samples)
diff --git a/yardstick/network_services/vnf_generic/vnf/prox_helpers.py b/yardstick/network_services/vnf_generic/vnf/prox_helpers.py
index 285ead3b6..61775b963 100644
--- a/yardstick/network_services/vnf_generic/vnf/prox_helpers.py
+++ b/yardstick/network_services/vnf_generic/vnf/prox_helpers.py
@@ -929,6 +929,7 @@ class ProxResourceHelper(ClientResourceHelper):
func = getattr(self.sut, cmd, None)
if func:
return func(*args, **kwargs)
+ return None
def _connect(self, client=None):
"""Run and connect to prox on the remote system """
@@ -1005,11 +1006,18 @@ class ProxDataHelper(object):
def samples(self):
samples = {}
for port_name, port_num in self.vnfd_helper.ports_iter():
- port_rx_total, port_tx_total = self.sut.port_stats([port_num])[6:8]
- samples[port_name] = {
- "in_packets": port_rx_total,
- "out_packets": port_tx_total,
- }
+ try:
+ port_rx_total, port_tx_total = self.sut.port_stats([port_num])[6:8]
+ samples[port_name] = {
+ "in_packets": port_rx_total,
+ "out_packets": port_tx_total,
+ }
+ except (KeyError, TypeError, NameError, MemoryError, ValueError,
+ SystemError, BufferError):
+ samples[port_name] = {
+ "in_packets": 0,
+ "out_packets": 0,
+ }
return samples
def __enter__(self):
@@ -1127,7 +1135,7 @@ class ProxProfileHelper(object):
for key, value in section:
if key == "mode" and value == mode:
core_tuple = CoreSocketTuple(section_name)
- core = core_tuple.find_in_topology(self.cpu_topology)
+ core = core_tuple.core_id
cores.append(core)
return cores
@@ -1149,6 +1157,10 @@ class ProxProfileHelper(object):
:return: return lat_min, lat_max, lat_avg
:rtype: list
"""
+
+ if not self._latency_cores:
+ self._latency_cores = self.get_cores(self.PROX_CORE_LAT_MODE)
+
if self._latency_cores:
return self.sut.lat_stats(self._latency_cores)
return []
@@ -1198,12 +1210,12 @@ class ProxMplsProfileHelper(ProxProfileHelper):
if item_value.startswith("tag"):
core_tuple = CoreSocketTuple(section_name)
- core_tag = core_tuple.find_in_topology(self.cpu_topology)
+ core_tag = core_tuple.core_id
cores_tagged.append(core_tag)
elif item_value.startswith("udp"):
core_tuple = CoreSocketTuple(section_name)
- core_udp = core_tuple.find_in_topology(self.cpu_topology)
+ core_udp = core_tuple.core_id
cores_plain.append(core_udp)
return cores_tagged, cores_plain
@@ -1276,23 +1288,23 @@ class ProxBngProfileHelper(ProxProfileHelper):
if item_value.startswith("cpe"):
core_tuple = CoreSocketTuple(section_name)
- cpe_core = core_tuple.find_in_topology(self.cpu_topology)
+ cpe_core = core_tuple.core_id
cpe_cores.append(cpe_core)
elif item_value.startswith("inet"):
core_tuple = CoreSocketTuple(section_name)
- inet_core = core_tuple.find_in_topology(self.cpu_topology)
+ inet_core = core_tuple.core_id
inet_cores.append(inet_core)
elif item_value.startswith("arp"):
core_tuple = CoreSocketTuple(section_name)
- arp_core = core_tuple.find_in_topology(self.cpu_topology)
+ arp_core = core_tuple.core_id
arp_cores.append(arp_core)
# We check the tasks/core separately
if item_value.startswith("arp_task"):
core_tuple = CoreSocketTuple(section_name)
- arp_task_core = core_tuple.find_in_topology(self.cpu_topology)
+ arp_task_core = core_tuple.core_id
arp_tasks_core.append(arp_task_core)
return cpe_cores, inet_cores, arp_cores, arp_tasks_core
@@ -1455,12 +1467,12 @@ class ProxVpeProfileHelper(ProxProfileHelper):
if item_value.startswith("cpe"):
core_tuple = CoreSocketTuple(section_name)
- core_tag = core_tuple.find_in_topology(self.cpu_topology)
+ core_tag = core_tuple.core_id
cpe_cores.append(core_tag)
elif item_value.startswith("inet"):
core_tuple = CoreSocketTuple(section_name)
- inet_core = core_tuple.find_in_topology(self.cpu_topology)
+ inet_core = core_tuple.core_id
inet_cores.append(inet_core)
return cpe_cores, inet_cores
@@ -1639,7 +1651,7 @@ class ProxlwAFTRProfileHelper(ProxProfileHelper):
continue
core_tuple = CoreSocketTuple(section_name)
- core_tag = core_tuple.find_in_topology(self.cpu_topology)
+ core_tag = core_tuple.core_id
for item_value in (v for k, v in section if k == 'name'):
if item_value.startswith('tun'):
tun_cores.append(core_tag)
diff --git a/yardstick/network_services/vnf_generic/vnf/prox_vnf.py b/yardstick/network_services/vnf_generic/vnf/prox_vnf.py
index b7d295eee..ee7735972 100644
--- a/yardstick/network_services/vnf_generic/vnf/prox_vnf.py
+++ b/yardstick/network_services/vnf_generic/vnf/prox_vnf.py
@@ -14,6 +14,8 @@
import errno
import logging
+import datetime
+import time
from yardstick.common.process import check_if_process_failed
@@ -39,6 +41,9 @@ class ProxApproxVnf(SampleVNF):
if resource_helper_type is None:
resource_helper_type = ProxResourceHelper
+ self.prev_packets_in = 0
+ self.prev_packets_sent = 0
+ self.prev_time = time.time()
super(ProxApproxVnf, self).__init__(name, vnfd, setup_env_helper_type,
resource_helper_type)
@@ -79,12 +84,13 @@ class ProxApproxVnf(SampleVNF):
raise RuntimeError("Failed ..Invalid no of ports .. "
"1, 2 or 4 ports only supported at this time")
- port_stats = self.vnf_execute('port_stats', range(port_count))
+ self.port_stats = self.vnf_execute('port_stats', range(port_count))
+ curr_time = time.time()
try:
- rx_total = port_stats[6]
- tx_total = port_stats[7]
+ rx_total = self.port_stats[6]
+ tx_total = self.port_stats[7]
except IndexError:
- LOG.error("port_stats parse fail %s", port_stats)
+ LOG.debug("port_stats parse fail ")
# return empty dict so we don't mess up existing KPIs
return {}
@@ -96,7 +102,17 @@ class ProxApproxVnf(SampleVNF):
# collectd KPIs here and not TG KPIs, so use a different method name
"collect_stats": self.resource_helper.collect_collectd_kpi(),
}
- LOG.debug("%s collect KPIs %s", self.APP_NAME, result)
+ curr_packets_in = int((rx_total - self.prev_packets_in) / (curr_time - self.prev_time))
+ curr_packets_fwd = int((tx_total - self.prev_packets_sent) / (curr_time - self.prev_time))
+
+ result["curr_packets_in"] = curr_packets_in
+ result["curr_packets_fwd"] = curr_packets_fwd
+
+ self.prev_packets_in = rx_total
+ self.prev_packets_sent = tx_total
+ self.prev_time = curr_time
+
+ LOG.debug("%s collect KPIs %s %s", self.APP_NAME, datetime.datetime.now(), result)
return result
def _tear_down(self):