output csv

benchmark/classic/data/process.py

@@ -2,60 +2,68 @@
 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
+# 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') ]
+    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=[]
+    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])
+            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]=[]
+                responsePerSec[sec] = []
             else:
                 responsePerSec[sec].append(item['response-time'])
-            code=item['status-code']
+            code = item['status-code']
             if code not in responseCodes:
-                responseCodes[code]=1
+                responseCodes[code] = 1
             else:
-                responseCodes[code]=responseCodes[code]+1
+                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)
+        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)
+        #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")
+            if len(responsePerSec[sec]) != 0:
+                #print(sec, ":")
+                #print("    Maximum:", max(responsePerSec[sec]))
+                #print("    Minimum:", min(responsePerSec[sec]))
+                #print("    Num of responses:", len(responsePerSec[sec]))
+                print(len(responsePerSec[sec]))
+            #else:
+                #print("    empty")
+
+
+def keychars(x):
+    return int(x.split('.')[1])
+
 
 def processAllFiles():
-    files=getFiles()
+    files = sorted(getFiles(), key=keychars)
     for f in files:
-        print("Processing ", f)
+        #print("Processing ", f)
         processFile(f)
 
+
 if __name__ == "__main__":
     processAllFiles()

benchmark/classic/data/requirements.txt

@@ -1,2 +0,0 @@
-numpy
-matplotlib