diff --git a/createKeyRequestReport.py b/createKeyRequestReport.py
index 1c722ac..e68c35f 100644
--- a/createKeyRequestReport.py
+++ b/createKeyRequestReport.py
@@ -12,7 +12,8 @@ import dynatraceAPI
 # import types
 from KRParser import krparser
 #from key_request_parser import krparser
-
+import time
+#from datetime import datetime
 warnings.filterwarnings("ignore")
 
 
@@ -48,16 +49,17 @@ def write_to_excel(ignored, noData1M, noData1W, all_TP_slos):
         all_TP_slos.to_excel(writer, sheet_name='TP_')
     
 
-    writer.save()
+    writer._save()
     writer.close()
 
     
 def getStats(krs):
     
-    
+    ts = time.time()
+    epoch = datetime.datetime.now().timestamp()
     tmpIgnoredList=[]
     for kr in [a for a in krs if len(a.keyRequests) == 0]:
-        tmpIgnoredList.append([kr.metadata["sloName"], kr.metadata["sloId"], kr.metadata["env"],"","","","",kr.metadata["filter"], kr.metadata["metricExpression"]])
+        tmpIgnoredList.append([kr.metadata["sloName"], kr.metadata["sloId"], kr.metadata["env"],"","","","","",kr.metadata["filter"], kr.metadata["metricExpression"], "", epoch])
     
     
     
@@ -65,24 +67,28 @@ def getStats(krs):
     for kr in [s for s in krs if s.hasNoData("1M")==True]:
          for k in kr.getKeyRequestByHasData("1M"):
              noData1M.append([kr.metadata["sloName"], kr.metadata["sloId"], kr.metadata["env"], k["displayName"], k["entityId"],k["services"][0]["displayName"] if len(k["services"]) > 0 else "", 
-                              [x for x in k["services"][0]["tags"] if x['key']=="compass-id"][0]["value"] if len(k["services"]) > 0 and len(k["services"][0]["tags"]) > 0 and len([x for x in k["services"][0]["tags"] if x['key']=="compass-id"]) > 0 else "", 
+                              [x for x in k["services"][0]["tags"] if x['key']=="compass-id"][0]["value"] if len(k["services"]) > 0 and len(k["services"][0]["tags"]) > 0 and len([x for x in k["services"][0]["tags"] if x['key']=="compass-id"]) > 0 else "",
+                              k["_mInSloDef"],
                               kr.metadata["filter"], 
-                              kr.metadata["metricExpression"]])
+                              kr.metadata["metricExpression"],
+                              kr.matchedGroups._list[0]['pattern'], epoch])
     
     noData1W=[]
     for kr in [s for s in krs if s.hasNoData("1W")==True]:
          for k in kr.getKeyRequestByHasData("1W"):
              noData1W.append([kr.metadata["sloName"], kr.metadata["sloId"], kr.metadata["env"], k["displayName"], k["entityId"], k["services"][0]["displayName"] if len(k["services"]) > 0 else "", 
                               [x for x in k["services"][0]["tags"] if x['key']=="compass-id"][0]["value"] if len(k["services"]) > 0 and len(k["services"][0]["tags"]) > 0 and len([x for x in k["services"][0]["tags"] if x['key']=="compass-id"]) > 0 else "", 
+                              k["_mInSloDef"],
                               kr.metadata["filter"], 
-                              kr.metadata["metricExpression"]])         
+                              kr.metadata["metricExpression"],
+                              kr.matchedGroups._list[0]['pattern'], epoch])         
              
     # noData1W=[]
     # for kr in [s for s in krs if s.hasNoData1WKeyRequests()==True]:
     #     for k in kr.getNoData1WKeyRequests():
     #          noData1W.append([kr.metadata["sloName"],  kr.metadata["env"], k["displayName"], k["entityId"], kr.metadata["filter"], kr.metadata["metricExpression"]])        
     
-    columns =['slo', 'sloID', 'env', 'displayName','entityId','service','compass-id','filter', 'metricExpression']
+    columns =['slo', 'sloID', 'env', 'displayName','entityId','service','compass-id','InSloDef','filter', 'metricExpression','pattern', 'timestamp']
     ignored=pd.DataFrame(tmpIgnoredList, columns=columns)
     noData_1M=pd.DataFrame(noData1M, columns = columns)
     noData_1W=pd.DataFrame(noData1W, columns = columns)
@@ -94,9 +100,10 @@ def getStats(krs):
                               k["count"]["1W"], k["count"]["1M"], 
                               k["services"][0]["displayName"] if len(k["services"]) > 0 else "", 
                               [x for x in k["services"][0]["tags"] if x['key']=="compass-id"][0]["value"] if len(k["services"]) > 0 and len(k["services"][0]["tags"]) > 0 and len([x for x in k["services"][0]["tags"] if x['key']=="compass-id"]) > 0 else "", 
-                              kr.metadata["filter"], kr.metadata["metricExpression"]])
+                              k["_mInSloDef"],
+                              kr.metadata["filter"], kr.metadata["metricExpression"], kr.matchedGroups._list[0]['pattern'], epoch])
             
-    columns_ext =['slo', 'sloID', 'env', 'displayName','entityId','Count_1W', 'Count_1M','service','compass-id','filter', 'metricExpression']
+    columns_ext =['slo', 'sloID', 'env', 'displayName','entityId','Count_1W', 'Count_1M','service','compass-id','InSloDef', 'filter', 'metricExpression', 'pattern', 'timestamp']
     all_TP_slos=pd.DataFrame(allTPSlos, columns = columns_ext)
 
     return ignored, noData_1M, noData_1W, all_TP_slos