modify classic bench

benchmark/classic/data/process.py

@@ -0,0 +1,61 @@
+#!/usr/bin/env python3
+import csv
+import os
+from pprint import pprint
+import numpy as np
+import matplotlib.pyplot as plt
+
+#Returns array of csv files in current directory
+def getFiles():
+    files = [f for f in os.listdir('.') if os.path.isfile(f)]
+    return[ f for f in files if f.endswith('.csv') ]
+
+def processFile(fname):
+    with open(fname,'r') as f:
+        lines=[]
+        data=csv.reader(f)
+        fields=next(data)
+        responseCodes={}
+        responsePerSec={}
+        responseTimes=[]
+        for row in data:
+            items=zip(fields,row)
+            item={}
+            for(name,value) in items:
+                item[name]=value.strip()
+            sec=int(item['offset'].split('.')[0])
+            if sec not in responsePerSec:
+                responsePerSec[sec]=[]
+            else:
+                responsePerSec[sec].append(item['response-time'])
+            code=item['status-code']
+            if code not in responseCodes:
+                responseCodes[code]=1
+            else:
+                responseCodes[code]=responseCodes[code]+1
+            responseTimes.append(item['response-time'])
+        if len(responseTimes)!=0:
+            maxResponse=max(responseTimes)
+            minResponse=min(responseTimes)
+        print("Maximum response time was ",maxResponse)
+        print("Minimum response time was ",minResponse)
+        else:
+            print("csv is empty")
+        pprint(responseCodes)
+        for sec in responsePerSec:
+            if len(responsePerSec[sec])!=0:
+                print(sec, ":")
+                print("    Maximum:", max(responsePerSec[sec]))
+                print("    Minimum:", min(responsePerSec[sec]))
+                print("    Num of responses:", len(responsePerSec[sec]))
+            else:
+                print("    empty")
+
+def processAllFiles():
+    files=getFiles()
+    for f in files:
+        print("Processing ", f)
+        processFile(f)
+
+if __name__ == "__main__":
+    processAllFiles()

benchmark/classic/data/requirements.txt

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+numpy
+matplotlib