Create iperf-plot.py

iperf-plot.py

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+import json
+import matplotlib.pyplot as plt
+import sys
+import argparse
+import time
+
+# 根据iperf3跑流输出的json结果,生成流量图
+# 支持多个文件生成在一张图上,便于观察流量之间的影响
+# python3 iperf3_plot.py web.json other.json
+
+def getSumName(data):
+    protocol = data['start']['test_start']['protocol']
+    if protocol == 'UDP':
+        return 'sum'
+    else:
+        return 'sum_sent'
+
+# 根据开始时间,结束时间计算所有跑流结果的时间范围
+# 返回的timeRange存储的unix时间
+def calcTimeRange(files):
+    minStartTime = 0xffffffff
+    maxEndTime = 0
+    for n in files:
+        with open(n) as f:
+            data = json.load(f)
+            sum = getSumName(data)
+            startTime = data["start"]["timestamp"]["timesecs"]
+            endTime = startTime + data["end"][sum]["seconds"]
+            if startTime < minStartTime:
+                minStartTime = startTime
+            if endTime > maxEndTime:
+                maxEndTime = endTime
+
+    timeRange = []
+    for i in range(minStartTime, int(maxEndTime)):
+        timeRange.append(i)
+
+    return timeRange
+
+
+# 根据数据文件绘图
+def chart(files, timeRange):
+    for n in files:
+        with open(n) as f:
+            data = json.load(f)
+            sum = getSumName(data)
+            startTime = data["start"]["timestamp"]["timesecs"]
+            endTime = startTime + data["end"][sum]["seconds"]
+            endTime = int(endTime)
+            debit = []
+
+            headTime = timeRange[0]
+            tailTime = timeRange[len(timeRange)-1]
+
+            # 没有吞吐量时间的部分填充0
+            if startTime > headTime:
+                for i in range(0, startTime - headTime):
+                    debit.append(0)
+
+            intervals = data['intervals']
+            for i in intervals:
+                debit.append(i['sum']['bits_per_second']/1024/1024) # Mbit单位换算
+
+            # 没有吞吐量时间的部分填充0
+            if endTime < tailTime:
+                for i in range(endTime-headTime,tailTime-headTime):
+                    debit.append(0)
+
+            plt.plot(debit, label=n)
+
+
+    plt.ylabel('Mbit/s')
+    plt.xlabel('Time sec')
+    plt.title("Throughput") 
+    plt.legend()    # 显示图例
+    plt.grid(axis='y', linestyle='--')  # 显示y轴网格
+    plt.show()
+
+def main(argv):
+    timeRange=calcTimeRange(argv)
+    chart(argv,timeRange)
+
+if __name__ == '__main__':
+    main(sys.argv[1:])