X-Git-Url: https://gerrit.fd.io/r/gitweb?p=csit.git;a=blobdiff_plain;f=resources%2Ftools%2Fdash%2Fapp%2Fpal%2Ftrending%2Fgraphs.py;fp=resources%2Ftools%2Fdash%2Fapp%2Fpal%2Ftrending%2Fgraphs.py;h=fb87cec953655689e99c859765b63398232d2f2b;hp=d3164a8e45c6e78272d29ffa64195aa66d0f5052;hb=d294d31e7cadd858c1c27dae9b5a85732aa95b23;hpb=7e88ea8b9a31713be65587672f4fe22bccb5f386
diff --git a/resources/tools/dash/app/pal/trending/graphs.py b/resources/tools/dash/app/pal/trending/graphs.py
index d3164a8e45..fb87cec953 100644
--- a/resources/tools/dash/app/pal/trending/graphs.py
+++ b/resources/tools/dash/app/pal/trending/graphs.py
@@ -27,28 +27,28 @@ from ..jumpavg import classify
_ANOMALY_COLOR = {
- u"regression": 0.0,
- u"normal": 0.5,
- u"progression": 1.0
+ "regression": 0.0,
+ "normal": 0.5,
+ "progression": 1.0
}
_COLORSCALE_TPUT = [
- [0.00, u"red"],
- [0.33, u"red"],
- [0.33, u"white"],
- [0.66, u"white"],
- [0.66, u"green"],
- [1.00, u"green"]
+ [0.00, "red"],
+ [0.33, "red"],
+ [0.33, "white"],
+ [0.66, "white"],
+ [0.66, "green"],
+ [1.00, "green"]
]
-_TICK_TEXT_TPUT = [u"Regression", u"Normal", u"Progression"]
+_TICK_TEXT_TPUT = ["Regression", "Normal", "Progression"]
_COLORSCALE_LAT = [
- [0.00, u"green"],
- [0.33, u"green"],
- [0.33, u"white"],
- [0.66, u"white"],
- [0.66, u"red"],
- [1.00, u"red"]
+ [0.00, "green"],
+ [0.33, "green"],
+ [0.33, "white"],
+ [0.66, "white"],
+ [0.66, "red"],
+ [1.00, "red"]
]
-_TICK_TEXT_LAT = [u"Progression", u"Normal", u"Regression"]
+_TICK_TEXT_LAT = ["Progression", "Normal", "Regression"]
_VALUE = {
"mrr": "result_receive_rate_rate_avg",
"ndr": "result_ndr_lower_rate_value",
@@ -76,14 +76,14 @@ _LAT_HDRH = ( # Do not change the order
PERCENTILE_MAX = 99.999501
_GRAPH_LAT_HDRH_DESC = {
- u"result_latency_forward_pdr_0_hdrh": u"No-load.",
- u"result_latency_reverse_pdr_0_hdrh": u"No-load.",
- u"result_latency_forward_pdr_10_hdrh": u"Low-load, 10% PDR.",
- u"result_latency_reverse_pdr_10_hdrh": u"Low-load, 10% PDR.",
- u"result_latency_forward_pdr_50_hdrh": u"Mid-load, 50% PDR.",
- u"result_latency_reverse_pdr_50_hdrh": u"Mid-load, 50% PDR.",
- u"result_latency_forward_pdr_90_hdrh": u"High-load, 90% PDR.",
- u"result_latency_reverse_pdr_90_hdrh": u"High-load, 90% PDR."
+ "result_latency_forward_pdr_0_hdrh": "No-load.",
+ "result_latency_reverse_pdr_0_hdrh": "No-load.",
+ "result_latency_forward_pdr_10_hdrh": "Low-load, 10% PDR.",
+ "result_latency_reverse_pdr_10_hdrh": "Low-load, 10% PDR.",
+ "result_latency_forward_pdr_50_hdrh": "Mid-load, 50% PDR.",
+ "result_latency_reverse_pdr_50_hdrh": "Mid-load, 50% PDR.",
+ "result_latency_forward_pdr_90_hdrh": "High-load, 90% PDR.",
+ "result_latency_reverse_pdr_90_hdrh": "High-load, 90% PDR."
}
@@ -140,7 +140,7 @@ def _classify_anomalies(data):
stdv = 0.0
for sample in data.values():
if isnan(sample):
- classification.append(u"outlier")
+ classification.append("outlier")
avgs.append(sample)
stdevs.append(sample)
continue
@@ -156,7 +156,7 @@ def _classify_anomalies(data):
stdevs.append(stdv)
values_left -= 1
continue
- classification.append(u"normal")
+ classification.append("normal")
avgs.append(avg)
stdevs.append(stdv)
values_left -= 1
@@ -272,12 +272,12 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
name=name,
mode="markers",
marker={
- u"size": 5,
- u"color": color,
- u"symbol": u"circle",
+ "size": 5,
+ "color": color,
+ "symbol": "circle",
},
text=hover,
- hoverinfo=u"text+name",
+ hoverinfo="text+name",
showlegend=True,
legendgroup=name,
customdata=customdata
@@ -288,12 +288,12 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
name=name,
mode="lines",
line={
- u"shape": u"linear",
- u"width": 1,
- u"color": color,
+ "shape": "linear",
+ "width": 1,
+ "color": color,
},
text=hover_trend,
- hoverinfo=u"text+name",
+ hoverinfo="text+name",
showlegend=False,
legendgroup=name,
)
@@ -305,7 +305,7 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
anomaly_color = list()
hover = list()
for idx, anomaly in enumerate(anomalies):
- if anomaly in (u"regression", u"progression"):
+ if anomaly in ("regression", "progression"):
anomaly_x.append(x_axis[idx])
anomaly_y.append(trend_avg[idx])
anomaly_color.append(_ANOMALY_COLOR[anomaly])
@@ -322,35 +322,35 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
go.Scatter(
x=anomaly_x,
y=anomaly_y,
- mode=u"markers",
+ mode="markers",
text=hover,
- hoverinfo=u"text+name",
+ hoverinfo="text+name",
showlegend=False,
legendgroup=name,
name=name,
marker={
- u"size": 15,
- u"symbol": u"circle-open",
- u"color": anomaly_color,
- u"colorscale": _COLORSCALE_LAT \
+ "size": 15,
+ "symbol": "circle-open",
+ "color": anomaly_color,
+ "colorscale": _COLORSCALE_LAT \
if ttype == "pdr-lat" else _COLORSCALE_TPUT,
- u"showscale": True,
- u"line": {
- u"width": 2
+ "showscale": True,
+ "line": {
+ "width": 2
},
- u"colorbar": {
- u"y": 0.5,
- u"len": 0.8,
- u"title": u"Circles Marking Data Classification",
- u"titleside": u"right",
- u"tickmode": u"array",
- u"tickvals": [0.167, 0.500, 0.833],
- u"ticktext": _TICK_TEXT_LAT \
+ "colorbar": {
+ "y": 0.5,
+ "len": 0.8,
+ "title": "Circles Marking Data Classification",
+ "titleside": "right",
+ "tickmode": "array",
+ "tickvals": [0.167, 0.500, 0.833],
+ "ticktext": _TICK_TEXT_LAT \
if ttype == "pdr-lat" else _TICK_TEXT_TPUT,
- u"ticks": u"",
- u"ticklen": 0,
- u"tickangle": -90,
- u"thickness": 10
+ "ticks": "",
+ "ticklen": 0,
+ "tickangle": -90,
+ "thickness": 10
}
}
)
@@ -429,7 +429,7 @@ def graph_hdrh_latency(data: dict, layout: dict) -> go.Figure:
yaxis.append(item.value_iterated_to)
hovertext.append(
f"{_GRAPH_LAT_HDRH_DESC[lat_name]}
"
- f"Direction: {(u'W-E', u'E-W')[idx % 2]}
"
+ f"Direction: {('W-E', 'E-W')[idx % 2]}
"
f"Percentile: {prev_perc:.5f}-{percentile:.5f}%
"
f"Latency: {item.value_iterated_to}uSec"
)
@@ -438,7 +438,7 @@ def graph_hdrh_latency(data: dict, layout: dict) -> go.Figure:
yaxis.append(item.value_iterated_to)
hovertext.append(
f"{_GRAPH_LAT_HDRH_DESC[lat_name]}
"
- f"Direction: {(u'W-E', u'E-W')[idx % 2]}
"
+ f"Direction: {('W-E', 'E-W')[idx % 2]}
"
f"Percentile: {prev_perc:.5f}-{percentile:.5f}%
"
f"Latency: {item.value_iterated_to}uSec"
)
@@ -450,16 +450,16 @@ def graph_hdrh_latency(data: dict, layout: dict) -> go.Figure:
x=xaxis,
y=yaxis,
name=_GRAPH_LAT_HDRH_DESC[lat_name],
- mode=u"lines",
+ mode="lines",
legendgroup=_GRAPH_LAT_HDRH_DESC[lat_name],
showlegend=bool(idx % 2),
line=dict(
color=_get_color(int(idx/2)),
- dash=u"solid",
+ dash="solid",
width=1 if idx % 2 else 2
),
hovertext=hovertext,
- hoverinfo=u"text"
+ hoverinfo="text"
)
)
if traces: