X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=csit.infra.dash%2Fapp%2Fcdash%2Freport%2Fgraphs.py;h=6b7fd1285055c33d5fd78b67d009ebfb1153af02;hb=refs%2Fchanges%2F75%2F39875%2F2;hp=cff5bb6b02a7b3a2e421a9661ccfe12011e18e98;hpb=0d2778de05710ec84beebb13942e71d36e872736;p=csit.git

diff --git a/csit.infra.dash/app/cdash/report/graphs.py b/csit.infra.dash/app/cdash/report/graphs.py
index cff5bb6b02..6b7fd12850 100644
--- a/csit.infra.dash/app/cdash/report/graphs.py
+++ b/csit.infra.dash/app/cdash/report/graphs.py
@@ -128,9 +128,18 @@ def graph_iterative(data: pd.DataFrame, sel:dict, layout: dict,
             y_tput_max = max(max(y_data), y_tput_max)
 
         nr_of_samples = len(y_data)
-        c_data = list()
-        for _, row in itm_data.iterrows():
-            c_data.append(f"{row['job']}/{row['build']}")
+
+        if itm["testtype"] == "mrr":
+            c_data = [
+                (
+                    f"{itm_data['job'].to_list()[0]}/",
+                    f"{itm_data['build'].to_list()[0]}"
+                ),
+            ] * nr_of_samples
+        else:
+            c_data = list()
+            for _, row in itm_data.iterrows():
+                c_data.append(f"{row['job']}/{row['build']}")
         tput_kwargs = dict(
             y=y_data,
             name=(