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-rw-r--r--csit.infra.dash/app/cdash/report/graphs.py40
-rw-r--r--csit.infra.dash/app/cdash/report/layout.py39
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",