trending: new view in regressions and progressions
[csit.git] / resources / tools / presentation / generator_tables.py
index 0b063b1..2e7d3de 100644 (file)
@@ -1,4 +1,4 @@
-# Copyright (c) 2021 Cisco and/or its affiliates.
+# Copyright (c) 2022 Cisco and/or its affiliates.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at:
@@ -297,28 +297,15 @@ def table_oper_data_html(table, input_data):
             threads = dict({idx: list() for idx in range(len(runtime))})
             for idx, run_data in runtime.items():
                 for gnode, gdata in run_data.items():
-                    if gdata[u"vectors"] > 0:
-                        clocks = gdata[u"clocks"] / gdata[u"vectors"]
-                    elif gdata[u"calls"] > 0:
-                        clocks = gdata[u"clocks"] / gdata[u"calls"]
-                    elif gdata[u"suspends"] > 0:
-                        clocks = gdata[u"clocks"] / gdata[u"suspends"]
-                    else:
-                        clocks = 0.0
-                    if gdata[u"calls"] > 0:
-                        vectors_call = gdata[u"vectors"] / gdata[u"calls"]
-                    else:
-                        vectors_call = 0.0
-                    if int(gdata[u"calls"]) + int(gdata[u"vectors"]) + \
-                            int(gdata[u"suspends"]):
-                        threads[idx].append([
-                            gnode,
-                            int(gdata[u"calls"]),
-                            int(gdata[u"vectors"]),
-                            int(gdata[u"suspends"]),
-                            clocks,
-                            vectors_call
-                        ])
+                    threads[idx].append([
+                        gnode,
+                        int(gdata[u"calls"]),
+                        int(gdata[u"vectors"]),
+                        int(gdata[u"suspends"]),
+                        float(gdata[u"clocks"]),
+                        float(gdata[u"vectors"] / gdata[u"calls"]) \
+                            if gdata[u"calls"] else 0.0
+                    ])
 
             bold = ET.SubElement(tcol, u"b")
             bold.text = (
@@ -972,8 +959,8 @@ def table_perf_trending_dash(table, input_data):
     header = [
         u"Test Case",
         u"Trend [Mpps]",
-        u"Number of runs [#]",
-        u"Trend Change [%]",
+        u"Runs [#]",
+        u"Long-Term Change [%]",
         u"Regressions [#]",
         u"Progressions [#]"
     ]