C-Dash: Add detailed info to iterative graphs

Change-Id: I8cd51452049690f7180fab6020843eb3395fcd74
Signed-off-by: Tibor Frank <tifrank@cisco.com>

2 files changed, 52 insertions, 27 deletions

diff --git a/csit.infra.dash/app/cdash/report/graphs.py b/csit.infra.dash/app/cdash/report/graphs.py
index 6b7fd12850..d1cd1427a1 100644
--- a/csit.infra.dash/app/cdash/report/graphs.py
+++ b/csit.infra.dash/app/cdash/report/graphs.py
@@ -14,6 +14,7 @@
 """Implementation of graphs for iterative data.
 """
 
+
 import plotly.graph_objects as go
 import pandas as pd
 
@@ -129,17 +130,28 @@ def graph_iterative(data: pd.DataFrame, sel:dict, layout: dict,
 
         nr_of_samples = len(y_data)
 
+        customdata = list()
+        metadata = {
+            "csit release": itm["rls"],
+            "dut": itm["dut"],
+            "dut version": itm["dutver"],
+            "infra": itm["phy"],
+            "test": (
+                f"{itm['area']}-{itm['framesize']}-{itm['core']}-"
+                f"{itm['test']}-{itm['testtype']}"
+            )
+        }
+
         if itm["testtype"] == "mrr":
-            c_data = [
-                (
-                    f"{itm_data['job'].to_list()[0]}/",
-                    f"{itm_data['build'].to_list()[0]}"
-                ),
-            ] * nr_of_samples
+            metadata["csit-ref"] = (
+                f"{itm_data['job'].to_list()[0]}/",
+                f"{itm_data['build'].to_list()[0]}"
+            )
+            customdata = [{"metadata": metadata}, ] * nr_of_samples
         else:
-            c_data = list()
             for _, row in itm_data.iterrows():
-                c_data.append(f"{row['job']}/{row['build']}")
+                metadata["csit-ref"] = f"{row['job']}/{row['build']}"
+                customdata.append({"metadata": deepcopy(metadata)})
         tput_kwargs = dict(
             y=y_data,
             name=(
@@ -152,7 +164,7 @@ def graph_iterative(data: pd.DataFrame, sel:dict, layout: dict,
             boxpoints="all",
             jitter=0.3,
             marker=dict(color=get_color(idx)),
-            customdata=c_data
+            customdata=customdata
         )
         tput_traces.append(go.Box(**tput_kwargs))
         show_tput = True
@@ -160,9 +172,15 @@ def graph_iterative(data: pd.DataFrame, sel:dict, layout: dict,
         if ttype == "pdr":
             customdata = list()
             for _, row in itm_data.iterrows():
-                customdata.append(
-                    get_hdrh_latencies(row, f"{row['job']}/{row['build']}")
+                hdrh = get_hdrh_latencies(
+                    row,
+                    f"{metadata['infra']}-{metadata['test']}"
                 )
+                metadata["csit-ref"] = f"{row['job']}/{row['build']}"
+                customdata.append({
+                    "metadata": deepcopy(metadata),
+                    "hdrh": hdrh
+                })
 
             y_lat_row = itm_data[C.VALUE_ITER["latency"]].to_list()
             y_lat = [(y / norm_factor) for y in y_lat_row]
diff --git a/csit.infra.dash/app/cdash/report/layout.py b/csit.infra.dash/app/cdash/report/layout.py
index 765af4e1e6..81cc913903 100644
--- a/csit.infra.dash/app/cdash/report/layout.py
+++ b/csit.infra.dash/app/cdash/report/layout.py
@@ -14,6 +14,7 @@
 """Plotly Dash HTML layout override.
 """
 
+
 import logging
 import pandas as pd
 import dash_bootstrap_components as dbc
@@ -1389,32 +1390,43 @@ class Layout:
                             "q1", "lower fence", "min", "outlier")
                 elif len(data) == 1:
                     if param == "lat":
-                        stats = ("Average Latency at 50% PDR", )
+                        stats = ("average latency at 50% PDR", )
                     else:
-                        stats = ("Throughput", )
+                        stats = ("throughput", )
                 else:
                     return list()
                 unit = " [us]" if param == "lat" else str()
                 return [(f"{stat}{unit}", f"{value['y']:,.0f}")
                         for stat, value in zip(stats, data)]
 
+            customdata = graph_data[0].get("customdata", dict())
+            datapoint = customdata.get("metadata", dict())
+            hdrh_data = customdata.get("hdrh", dict())
+
+            list_group_items = list()
+            for k, v in datapoint.items():
+                if k == "csit-ref":
+                    if len(graph_data) > 1:
+                        continue
+                    list_group_item = dbc.ListGroupItem([
+                        dbc.Badge(k),
+                        html.A(v, href=f"{C.URL_JENKINS}{v}", target="_blank")
+                    ])
+                else:
+                    list_group_item = dbc.ListGroupItem([dbc.Badge(k), v])
+                list_group_items.append(list_group_item)
+
             graph = list()
             if trigger.idx == "tput":
                 title = "Throughput"
             elif trigger.idx == "lat":
                 title = "Latency"
                 if len(graph_data) == 1:
-                    hdrh_data = graph_data[0].get("customdata", None)
                     if hdrh_data:
-                        name = hdrh_data.pop("name")
                         graph = [dbc.Card(
                             class_name="gy-2 p-0",
                             children=[
-                                dbc.CardHeader(html.A(
-                                    name,
-                                    href=f"{C.URL_JENKINS}{name}",
-                                    target="_blank"
-                                )),
+                                dbc.CardHeader(hdrh_data.pop("name")),
                                 dbc.CardBody(dcc.Graph(
                                     id="hdrh-latency-graph",
                                     figure=graph_hdrh_latency(
@@ -1425,15 +1437,10 @@ class Layout:
                         ]
             else:
                 raise PreventUpdate
-            list_group_items = list()
+
             for k, v in _process_stats(graph_data, trigger.idx):
                 list_group_items.append(dbc.ListGroupItem([dbc.Badge(k), v]))
-            if trigger.idx == "tput" and len(list_group_items) == 1:
-                job = graph_data[0].get("customdata", "")
-                list_group_items.append(dbc.ListGroupItem([
-                    dbc.Badge("csit-ref"),
-                    html.A(job, href=f"{C.URL_JENKINS}{job}", target="_blank")
-                ]))
+
             metadata = [
                 dbc.Card(
                     class_name="gy-2 p-0",