output csv

benchmark/classic/data/process.py

@@ -2,14 +2,15 @@
 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 = []
@@ -37,25 +38,32 @@ def processFile(fname):
         if len(responseTimes) != 0:
             maxResponse = max(responseTimes)
             minResponse = min(responseTimes)
-        print("Maximum response time was ",maxResponse)
-        print("Minimum response time was ",minResponse)
+            #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")
+                #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