CDash: Improvements in layout

[csit.git] / csit.infra.dash / app / pal / trending / graphs.py

diff --git a/csit.infra.dash/app/pal/trending/graphs.py b/csit.infra.dash/app/pal/trending/graphs.py
index 1eff4aa..6f1ec84 100644 (file)
--- a/csit.infra.dash/app/pal/trending/graphs.py
+++ b/csit.infra.dash/app/pal/trending/graphs.py
@@ -20,8 +20,6 @@ import pandas as pd
 import hdrh.histogram
 import hdrh.codec
 
-from datetime import datetime
-
 from ..utils.constants import Constants as C
 from ..utils.utils import classify_anomalies, get_color
 
@@ -120,8 +118,6 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
     df = df.dropna(subset=[C.VALUE[ttype], ])
     if df.empty:
         return list()
-    if df.empty:
-        return list()
 
     x_axis = df["start_time"].tolist()
     if ttype == "pdr-lat":
@@ -135,6 +131,7 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
 
     hover = list()
     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 = (
@@ -157,7 +154,11 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
         ).replace("<stdev>", stdev)
         hover.append(hover_itm)
         if ttype == "pdr-lat":
-            customdata.append(_get_hdrh_latencies(row, name))
+            customdata_samples.append(_get_hdrh_latencies(row, name))
+            customdata.append({"name": name})
+        else:
+            customdata_samples.append({"name": name, "show_telemetry": True})
+            customdata.append({"name": name})
 
     hover_trend = list()
     for avg, stdev, (_, row) in zip(trend_avg, trend_stdev, df.iterrows()):
@@ -189,7 +190,7 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
             hoverinfo="text+name",
             showlegend=True,
             legendgroup=name,
-            customdata=customdata
+            customdata=customdata_samples
         ),
         go.Scatter(  # Trend line
             x=x_axis,
@@ -205,6 +206,7 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
             hoverinfo="text+name",
             showlegend=False,
             legendgroup=name,
+            customdata=customdata
         )
     ]
 
@@ -237,6 +239,7 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
                 showlegend=False,
                 legendgroup=name,
                 name=name,
+                customdata=customdata,
                 marker={
                     "size": 15,
                     "symbol": "circle-open",
@@ -297,8 +300,6 @@ def graph_trending(data: pd.DataFrame, sel:dict, layout: dict,
         if df is None or df.empty:
             continue
 
-        name = "-".join((itm["dut"], itm["phy"], itm["framesize"], itm["core"],
-            itm["test"], itm["testtype"], ))
         if normalize:
             phy = itm["phy"].split("-")
             topo_arch = f"{phy[0]}-{phy[1]}" if len(phy) == 4 else str()
@@ -306,18 +307,16 @@ def graph_trending(data: pd.DataFrame, sel:dict, layout: dict,
                 if topo_arch else 1.0
         else:
             norm_factor = 1.0
-        traces = _generate_trending_traces(
-            itm["testtype"], name, df, get_color(idx), norm_factor
-        )
+        traces = _generate_trending_traces(itm["testtype"], itm["id"], df,
+            get_color(idx), norm_factor)
         if traces:
             if not fig_tput:
                 fig_tput = go.Figure()
             fig_tput.add_traces(traces)
 
         if itm["testtype"] == "pdr":
-            traces = _generate_trending_traces(
-                "pdr-lat", name, df, get_color(idx), norm_factor
-            )
+            traces = _generate_trending_traces("pdr-lat", itm["id"], df,
+                get_color(idx), norm_factor)
             if traces:
                 if not fig_lat:
                     fig_lat = go.Figure()
@@ -348,7 +347,7 @@ def graph_hdrh_latency(data: dict, layout: dict) -> go.Figure:
     for idx, (lat_name, lat_hdrh) in enumerate(data.items()):
         try:
             decoded = hdrh.histogram.HdrHistogram.decode(lat_hdrh)
-        except (hdrh.codec.HdrLengthException, TypeError) as err:
+        except (hdrh.codec.HdrLengthException, TypeError):
             continue
         previous_x = 0.0
         prev_perc = 0.0