C-Dash: Add search in tests

[csit.git] / csit.infra.dash / app / cdash / report / graphs.py

diff --git a/csit.infra.dash/app/cdash/report/graphs.py b/csit.infra.dash/app/cdash/report/graphs.py
index 50a3be2..44c57d4 100644 (file)
--- a/csit.infra.dash/app/cdash/report/graphs.py
+++ b/csit.infra.dash/app/cdash/report/graphs.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 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:
@@ -73,8 +73,8 @@ def select_iterative_data(data: pd.DataFrame, itm:dict) -> pd.DataFrame:
     return df
 
 
-def graph_iterative(data: pd.DataFrame, sel:dict, layout: dict,
-        normalize: bool) -> tuple:
+def graph_iterative(data: pd.DataFrame, sel: list, layout: dict,
+        normalize: bool=False) -> tuple:
     """Generate the statistical box graph with iterative data (MRR, NDR and PDR,
     for PDR also Latencies).
 
@@ -84,7 +84,7 @@ def graph_iterative(data: pd.DataFrame, sel:dict, layout: dict,
     :param normalize: If True, the data is normalized to CPU frequency
         Constants.NORM_FREQUENCY.
     :param data: pandas.DataFrame
-    :param sel: dict
+    :param sel: list
     :param layout: dict
     :param normalize: bool
     :returns: Tuple of graphs - throughput and latency.