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authorTibor Frank <tifrank@cisco.com>2022-05-19 14:24:15 +0200
committerTibor Frank <tifrank@cisco.com>2022-06-09 11:00:10 +0000
commita6c94c7c5898fb8570f6f9ca6fdc1909d43c5dc0 (patch)
tree934f6cda980c0b7ac105092f0db00e88a992e780 /resources/tools/dash/app/pal/trending
parent400205b1f838b88e72236559308d9c4b3ee61aa4 (diff)
feat(uti): Add statistical graphs
Change-Id: Ia2831cfbcb9e2333c5b49af5c6b0577867d99902 Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'resources/tools/dash/app/pal/trending')
-rw-r--r--resources/tools/dash/app/pal/trending/graphs.py38
1 files changed, 27 insertions, 11 deletions
diff --git a/resources/tools/dash/app/pal/trending/graphs.py b/resources/tools/dash/app/pal/trending/graphs.py
index 36c19495a3..d3164a8e45 100644
--- a/resources/tools/dash/app/pal/trending/graphs.py
+++ b/resources/tools/dash/app/pal/trending/graphs.py
@@ -26,12 +26,6 @@ from numpy import isnan
from ..jumpavg import classify
-_COLORS = (
- u"#1A1110", u"#DA2647", u"#214FC6", u"#01786F", u"#BD8260", u"#FFD12A",
- u"#A6E7FF", u"#738276", u"#C95A49", u"#FC5A8D", u"#CEC8EF", u"#391285",
- u"#6F2DA8", u"#FF878D", u"#45A27D", u"#FFD0B9", u"#FD5240", u"#DB91EF",
- u"#44D7A8", u"#4F86F7", u"#84DE02", u"#FFCFF1", u"#614051"
-)
_ANOMALY_COLOR = {
u"regression": 0.0,
u"normal": 0.5,
@@ -93,6 +87,18 @@ _GRAPH_LAT_HDRH_DESC = {
}
+def _get_color(idx: int) -> str:
+ """
+ """
+ _COLORS = (
+ "#1A1110", "#DA2647", "#214FC6", "#01786F", "#BD8260", "#FFD12A",
+ "#A6E7FF", "#738276", "#C95A49", "#FC5A8D", "#CEC8EF", "#391285",
+ "#6F2DA8", "#FF878D", "#45A27D", "#FFD0B9", "#FD5240", "#DB91EF",
+ "#44D7A8", "#4F86F7", "#84DE02", "#FFCFF1", "#614051"
+ )
+ return _COLORS[idx % len(_COLORS)]
+
+
def _get_hdrh_latencies(row: pd.Series, name: str) -> dict:
"""
"""
@@ -174,10 +180,20 @@ def select_trending_data(data: pd.DataFrame, itm:dict) -> pd.DataFrame:
core = str() if itm["dut"] == "trex" else f"{itm['core']}"
ttype = "ndrpdr" if itm["testtype"] in ("ndr", "pdr") else itm["testtype"]
- dut = "none" if itm["dut"] == "trex" else itm["dut"].upper()
+ dut_v100 = "none" if itm["dut"] == "trex" else itm["dut"]
+ dut_v101 = itm["dut"]
df = data.loc[(
- (data["dut_type"] == dut) &
+ (
+ (
+ (data["version"] == "1.0.0") &
+ (data["dut_type"].str.lower() == dut_v100)
+ ) |
+ (
+ (data["version"] == "1.0.1") &
+ (data["dut_type"].str.lower() == dut_v101)
+ )
+ ) &
(data["test_type"] == ttype) &
(data["passed"] == True)
)]
@@ -362,7 +378,7 @@ def graph_trending(data: pd.DataFrame, sel:dict, layout: dict,
name = "-".join((itm["dut"], itm["phy"], itm["framesize"], itm["core"],
itm["test"], itm["testtype"], ))
traces = _generate_trending_traces(
- itm["testtype"], name, df, start, end, _COLORS[idx % len(_COLORS)]
+ itm["testtype"], name, df, start, end, _get_color(idx)
)
if traces:
if not fig_tput:
@@ -371,7 +387,7 @@ def graph_trending(data: pd.DataFrame, sel:dict, layout: dict,
if itm["testtype"] == "pdr":
traces = _generate_trending_traces(
- "pdr-lat", name, df, start, end, _COLORS[idx % len(_COLORS)]
+ "pdr-lat", name, df, start, end, _get_color(idx)
)
if traces:
if not fig_lat:
@@ -438,7 +454,7 @@ def graph_hdrh_latency(data: dict, layout: dict) -> go.Figure:
legendgroup=_GRAPH_LAT_HDRH_DESC[lat_name],
showlegend=bool(idx % 2),
line=dict(
- color=_COLORS[int(idx/2)],
+ color=_get_color(int(idx/2)),
dash=u"solid",
width=1 if idx % 2 else 2
),