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authorYujun Zhang <zhang.yujunz@zte.com.cn>2017-01-08 09:48:31 +0800
committerYujun Zhang <zhang.yujunz@zte.com.cn>2017-01-11 15:14:16 +0800
commit23b627df622eeafafa215ce19764310c1d55dd55 (patch)
treed92c4c9b8a50a03461a40d2a2aba67bc7312041a /legacy/utils/transform/iperf_transform.py
parent23f48e46a46976ae6f6d97aea11440e6a8b63121 (diff)
Reorganize the project folders
Code from Brahmaputra is no longer maintained, including: - docker - playbooks - scripts - utils They are moved to legacy folder to avoid unnecessary confusion to new developers. Change-Id: Ia50383ca5c3bd82571eb7b2184e7f83e264ff8a7 Signed-off-by: Yujun Zhang <zhang.yujunz@zte.com.cn>
Diffstat (limited to 'legacy/utils/transform/iperf_transform.py')
-rw-r--r--legacy/utils/transform/iperf_transform.py27
1 files changed, 27 insertions, 0 deletions
diff --git a/legacy/utils/transform/iperf_transform.py b/legacy/utils/transform/iperf_transform.py
new file mode 100644
index 00000000..b52e4634
--- /dev/null
+++ b/legacy/utils/transform/iperf_transform.py
@@ -0,0 +1,27 @@
+import json
+import datetime
+import pickle
+with open('iperf_raw.json', 'r') as ifile:
+ raw_iperf_data = json.loads(ifile.read().rstrip())
+
+bits_sent = raw_iperf_data['end']['sum_sent']['bits_per_second']
+bits_received = raw_iperf_data['end']['sum_received']['bits_per_second']
+total_byte_sent = raw_iperf_data['end']['sum_sent']['bytes']
+total_byte_received = raw_iperf_data['end']['sum_received']['bytes']
+cpu_host_total_percent = raw_iperf_data['end']['cpu_utilization_percent']['host_total']
+cpu_remote_total_percent = raw_iperf_data['end']['cpu_utilization_percent']['remote_total']
+
+time_stamp = str(datetime.datetime.utcnow().isoformat())
+
+result = {'version': raw_iperf_data['start']['version'],
+ 'bandwidth': {'sender_throughput': bits_sent,
+ 'received_throughput': bits_received},
+ 'cpu': {'cpu_host': cpu_host_total_percent,
+ 'cpu_remote': cpu_remote_total_percent}
+ }
+
+with open('iperf_raw-' + time_stamp + '.log', 'w+') as ofile:
+ ofile.write(json.dumps(raw_iperf_data))
+
+with open('./result_temp', 'w+') as result_file:
+ pickle.dump(result, result_file)