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authorTibor Frank <tifrank@cisco.com>2023-02-06 13:40:50 +0100
committerTibor Frank <tifrank@cisco.com>2023-02-07 14:03:58 +0100
commitd154ed2c2720084ecfae3669ccc82ddaa5618b83 (patch)
tree50ba63e54d9e757a733d3365e517dc49f0d53a2b /csit.infra.dash/app/cdash/trending
parentb51dae21af9f0d36b3f006ad29664d41dab38c34 (diff)
C-Dash: Hover info and y-axis in trending and iterative graphs
Signed-off-by: Tibor Frank <tifrank@cisco.com> Change-Id: I49a7230b4e44f9520b347ec40de0d67581ad51ab
Diffstat (limited to 'csit.infra.dash/app/cdash/trending')
-rw-r--r--csit.infra.dash/app/cdash/trending/graphs.py55
1 files changed, 44 insertions, 11 deletions
diff --git a/csit.infra.dash/app/cdash/trending/graphs.py b/csit.infra.dash/app/cdash/trending/graphs.py
index b6581e67f4..695bb0e287 100644
--- a/csit.infra.dash/app/cdash/trending/graphs.py
+++ b/csit.infra.dash/app/cdash/trending/graphs.py
@@ -141,13 +141,14 @@ def graph_trending(
df = df.dropna(subset=[C.VALUE[ttype], ])
if df.empty:
- return list()
+ return list(), list()
x_axis = df["start_time"].tolist()
if ttype == "pdr-lat":
y_data = [(v / norm_factor) for v in df[C.VALUE[ttype]].tolist()]
else:
y_data = [(v * norm_factor) for v in df[C.VALUE[ttype]].tolist()]
+ units = df[C.UNIT[ttype]].unique().tolist()
anomalies, trend_avg, trend_stdev = classify_anomalies(
{k: v for k, v in zip(x_axis, y_data)}
@@ -162,6 +163,7 @@ def graph_trending(
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"csit-ref: {row['job']}/{row['build']}<br>"
f"hosts: {', '.join(row['hosts'])}"
@@ -172,10 +174,19 @@ def graph_trending(
f"{row['result_receive_rate_rate_stdev']:,.0f}<br>"
)
else:
- stdev = ""
+ stdev = str()
+ if ttype in ("hoststack-cps", "hoststack-rps"):
+ add_info = (
+ f"bandwidth [{row[C.UNIT['hoststack-bps']]}]: "
+ f"{row[C.VALUE['hoststack-bps']]:,.0f}<br>"
+ f"latency [{row[C.UNIT['hoststack-lat']]}]: "
+ f"{row[C.VALUE['hoststack-lat']]:,.0f}<br>"
+ )
+ else:
+ add_info = str()
hover_itm = hover_itm.replace(
"<prop>", "latency" if ttype == "pdr-lat" else "average"
- ).replace("<stdev>", stdev)
+ ).replace("<stdev>", stdev).replace("<additional-info>", add_info)
hover.append(hover_itm)
if ttype == "pdr-lat":
customdata_samples.append(_get_hdrh_latencies(row, name))
@@ -191,8 +202,8 @@ def graph_trending(
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 [pps]: {avg:,.0f}<br>"
- f"stdev [pps]: {stdev:,.0f}<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"csit-ref: {row['job']}/{row['build']}<br>"
f"hosts: {', '.join(row['hosts'])}"
@@ -294,11 +305,12 @@ def graph_trending(
)
)
- return traces
+ return traces, units
fig_tput = None
fig_lat = None
+ y_units = set()
for idx, itm in enumerate(sel):
df = select_trending_data(data, itm)
if df is None or df.empty:
@@ -311,23 +323,44 @@ def graph_trending(
if topo_arch else 1.0
else:
norm_factor = 1.0
- traces = _generate_trending_traces(itm["testtype"], itm["id"], df,
- get_color(idx), norm_factor)
+
+ if itm["area"] == "hoststack":
+ ttype = f"hoststack-{itm['testtype']}"
+ else:
+ ttype = itm["testtype"]
+
+ traces, units = _generate_trending_traces(
+ ttype,
+ 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", itm["id"], 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()
fig_lat.add_traces(traces)
+ y_units.update(units)
+
if fig_tput:
- fig_tput.update_layout(layout.get("plot-trending-tput", dict()))
+ fig_layout = layout.get("plot-trending-tput", dict())
+ fig_layout["yaxis"]["title"] = \
+ f"Throughput [{'|'.join(sorted(y_units))}]"
+ fig_tput.update_layout(fig_layout)
if fig_lat:
fig_lat.update_layout(layout.get("plot-trending-lat", dict()))