Trending: Update graphs - 2n-clx
[csit.git] / resources / tools / presentation / generator_cpta.py
index a11d1da..8d10e15 100644 (file)
@@ -1,4 +1,4 @@
-# Copyright (c) 2019 Cisco and/or its affiliates.
+# Copyright (c) 2020 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:
@@ -247,7 +247,7 @@ def _generate_trending_traces(in_data, job_name, build_info,
             u"symbol": u"circle",
         },
         text=hover_text,
-        hoverinfo=u"text"
+        hoverinfo=u"text+name"
     )
     traces = [trace_samples, ]
 
@@ -359,10 +359,15 @@ def _generate_all_charts(spec, input_data):
 
         if graph.get(u"include", None):
             data = input_data.filter_tests_by_name(
-                graph, continue_on_error=True
+                graph,
+                params=[u"type", u"result", u"tags"],
+                continue_on_error=True
             )
         else:
-            data = input_data.filter_data(graph, continue_on_error=True)
+            data = input_data.filter_data(
+                graph,
+                params=[u"type", u"result", u"tags"],
+                continue_on_error=True)
 
         if data is None or data.empty:
             logging.error(u"No data.")
@@ -587,7 +592,7 @@ def _generate_all_charts(spec, input_data):
     # Write the tables:
     for job_name, csv_table in csv_tables.items():
         file_name = f"{spec.cpta[u'output-file']}/{job_name}-trending"
-        with open(f"{file_name}.csv", u"w") as file_handler:
+        with open(f"{file_name}.csv", u"wt") as file_handler:
             file_handler.writelines(csv_table)
 
         txt_table = None
@@ -613,7 +618,7 @@ def _generate_all_charts(spec, input_data):
                         )
                 line_nr += 1
             txt_table.align[u"Build Number:"] = u"l"
-        with open(f"{file_name}.txt", u"w") as txt_file:
+        with open(f"{file_name}.txt", u"wt") as txt_file:
             txt_file.write(str(txt_table))
 
     # Evaluate result: