jenkinsfile

createWERandSRRFiles.py

@@ -1,4 +1,5 @@
 import re
+import csv
 
 wer = open("wer.txt","w")
 ssr = open("ssr.txt","w")
@@ -10,6 +11,10 @@ counter = 0
 
 ssrCounter = 0
 
+inputLines = ""
+
+werArray = []
+
 with open("helper.txt", "r") as f:
 	for line in f:
 		if re.match(r'^id:.*', line):
@@ -22,9 +27,31 @@ with open("helper.txt", "r") as f:
 				ssrCounter += 1
 			globalPercent += sum
 			counter += 1
+			werArray.append(sum)
 			wer.write(lastId + " = " + str(sum) + "%\n")
 
 wer.write("AVG: " + str(float((globalPercent) / (float(counter) * 100)*100)) + "%")
 ssr.write(str(float(ssrCounter)/float(counter) * 100) + "%")
 wer.close()
 ssr.close()
+
+
+with open('wikiniews_results.tsv','r') as f_in:
+    with open('wikiniews_results2.tsv', 'w') as f_out:
+        writer = csv.writer(f_out, delimiter=' ', lineterminator='\n')
+        reader = csv.reader(f_in, delimiter=' ')
+
+        result = []
+        # read headers
+        row = next(reader)
+        # add new header to list of headers
+        row.append('Col5')
+        result.append(row)
+		counter = 0
+        for row in reader:
+            # add new column values
+            row.append(werArray[counter])
+			counter += 1
+            result.append(row)
+
+        writer.writerows(result)

metrics.sh

@@ -10,7 +10,6 @@ sclite -f 0 -r reference.trn trn -h hypothesis.trn trn -e utf-8 -i rm -o all std
 
 python ./createWERandSRRFiles.py
 
-head -5 ssr.txt
 head -250 wer.txt