C-Dash: Small changes in graphs processing

Change-Id: Idb0e1cbc8377c234149a8ae09e824fa697eabcb4
Signed-off-by: Tibor Frank <tifrank@cisco.com>

2 files changed, 4 insertions, 6 deletions

diff --git a/csit.infra.dash/app/cdash/stats/layout.py b/csit.infra.dash/app/cdash/stats/layout.py
index 1be236ab3a..753eb37670 100644
--- a/csit.infra.dash/app/cdash/stats/layout.py
+++ b/csit.infra.dash/app/cdash/stats/layout.py
@@ -583,8 +583,8 @@ class Layout:
             Input("dd-tbeds", "value"),
             Input("url", "href")
         )
-        def _update_ctrl_panel(cp_data: dict, dut: str, ttype: str, cadence:str,
-                tbed: str, href: str) -> tuple:
+        def _update_ctrl_panel(cp_data: dict, dut: str, ttype: str,
+                cadence: str, tbed: str, href: str) -> tuple:
             """Update the application when the event is detected.
 
             :param cp_data: Current status of the control panel stored in
diff --git a/csit.infra.dash/app/cdash/trending/graphs.py b/csit.infra.dash/app/cdash/trending/graphs.py
index 32ab8df610..fe85c13adb 100644
--- a/csit.infra.dash/app/cdash/trending/graphs.py
+++ b/csit.infra.dash/app/cdash/trending/graphs.py
@@ -135,13 +135,12 @@ def graph_trending(
         customdata = list()
         customdata_samples = list()
         for idx, (_, row) in enumerate(df.iterrows()):
-            d_type = "trex" if row["dut_type"] == "none" else row["dut_type"]
             hover_itm = (
                 f"date: {row['start_time'].strftime('%Y-%m-%d %H:%M:%S')}<br>"
                 f"<prop> [{row[C.UNIT[ttype]]}]: {y_data[idx]:,.0f}<br>"
                 f"<stdev>"
                 f"<additional-info>"
-                f"{d_type}-ref: {row['dut_version']}<br>"
+                f"{row['dut_type']}-ref: {row['dut_version']}<br>"
                 f"csit-ref: {row['job']}/{row['build']}<br>"
                 f"hosts: {', '.join(row['hosts'])}"
             )
@@ -176,12 +175,11 @@ def graph_trending(
 
         hover_trend = list()
         for avg, stdev, (_, row) in zip(trend_avg, trend_stdev, df.iterrows()):
-            d_type = "trex" if row["dut_type"] == "none" else row["dut_type"]
             hover_itm = (
                 f"date: {row['start_time'].strftime('%Y-%m-%d %H:%M:%S')}<br>"
                 f"trend [{row[C.UNIT[ttype]]}]: {avg:,.0f}<br>"
                 f"stdev [{row[C.UNIT[ttype]]}]: {stdev:,.0f}<br>"
-                f"{d_type}-ref: {row['dut_version']}<br>"
+                f"{row['dut_type']}-ref: {row['dut_version']}<br>"
                 f"csit-ref: {row['job']}/{row['build']}<br>"
                 f"hosts: {', '.join(row['hosts'])}"
             )