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:
 # 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
 
 
     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).
 
     """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 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.
     :param layout: dict
     :param normalize: bool
     :returns: Tuple of graphs - throughput and latency.