# List of releases used for iterative data processing.
# The releases MUST be in the order from the current (newest) to the last
# (oldest).
-RELEASES=["rls2202", ]
+RELEASES=["rls2206", "rls2202", ]
def init_app():
"""Construct core Flask application with embedded Dash app.
"""
"""
+import re
import plotly.graph_objects as go
import pandas as pd
+from copy import deepcopy
+
import hdrh.histogram
import hdrh.codec
-_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"
-)
_VALUE = {
- "mrr": "result_receive_rate_rate_avg",
+ "mrr": "result_receive_rate_rate_values",
"ndr": "result_ndr_lower_rate_value",
"pdr": "result_pdr_lower_rate_value",
"pdr-lat": "result_latency_forward_pdr_50_avg"
u"result_latency_forward_pdr_90_hdrh": u"High-load, 90% PDR.",
u"result_latency_reverse_pdr_90_hdrh": u"High-load, 90% PDR."
}
+REG_EX_VPP_VERSION = re.compile(r"^(\d{2}).(\d{2})-(rc0|rc1|rc2|release$)")
+
+
+def _get_color(idx: int) -> str:
+ """
+ """
+ _COLORS = (
+ "#1A1110", "#DA2647", "#214FC6", "#01786F", "#BD8260", "#FFD12A",
+ "#A6E7FF", "#738276", "#C95A49", "#FC5A8D", "#CEC8EF", "#391285",
+ "#6F2DA8", "#FF878D", "#45A27D", "#FFD0B9", "#FD5240", "#DB91EF",
+ "#44D7A8", "#4F86F7", "#84DE02", "#FFCFF1", "#614051"
+ )
+ return _COLORS[idx % len(_COLORS)]
+
+
+def get_short_version(version: str, dut_type: str="vpp") -> str:
+ """
+ """
+
+ if dut_type in ("trex", "dpdk"):
+ return version
+
+ s_version = str()
+ groups = re.search(pattern=REG_EX_VPP_VERSION, string=version)
+ if groups:
+ try:
+ s_version = f"{groups.group(1)}.{groups.group(2)}_{groups.group(3)}"
+ except IndexError:
+ pass
+
+ return s_version
def select_iterative_data(data: pd.DataFrame, itm:dict) -> pd.DataFrame:
core = str() if itm["dut"] == "trex" else f"{itm['core']}"
ttype = "ndrpdr" if itm["testtype"] in ("ndr", "pdr") else itm["testtype"]
- dut = "none" if itm["dut"] == "trex" else itm["dut"].upper()
+ dut_v100 = "none" if itm["dut"] == "trex" else itm["dut"]
+ dut_v101 = itm["dut"]
df = data.loc[(
- (data["dut_type"] == dut) &
+ (data["release"] == itm["rls"]) &
+ (
+ (
+ (data["version"] == "1.0.0") &
+ (data["dut_type"].str.lower() == dut_v100)
+ ) |
+ (
+ (data["version"] == "1.0.1") &
+ (data["dut_type"].str.lower() == dut_v101)
+ )
+ ) &
(data["test_type"] == ttype) &
(data["passed"] == True)
)]
- df = df[df.job.str.endswith(f"{topo}-{arch}")]
- df = df[df.test_id.str.contains(
- f"^.*[.|-]{nic}.*{itm['framesize']}-{core}-{drv}{itm['test']}-{ttype}$",
- regex=True
- )].sort_values(by="start_time", ignore_index=True)
+ regex_test = \
+ f"^.*[.|-]{nic}.*{itm['framesize']}-{core}-{drv}{itm['test']}-{ttype}$"
+ df = df[
+ (df.job.str.endswith(f"{topo}-{arch}")) &
+ (df.dut_version.str.contains(itm["dutver"].replace("_", "-"))) &
+ (df.test_id.str.contains(regex_test, regex=True))
+ ]
return df
"""
"""
- fig_tput = go.Figure()
- fig_tsa = go.Figure()
+ fig_tput = None
+ fig_lat = None
+
+ tput_traces = list()
+ y_tput_max = 0
+ lat_traces = list()
+ y_lat_max = 0
+ x_lat = list()
+ for idx, itm in enumerate(sel):
+ itm_data = select_iterative_data(data, itm)
+ if itm["testtype"] == "mrr":
+ y_data = itm_data[_VALUE[itm["testtype"]]].to_list()[0]
+ if y_data.size > 0:
+ y_tput_max = \
+ max(y_data) if max(y_data) > y_tput_max else y_tput_max
+ else:
+ y_data = itm_data[_VALUE[itm["testtype"]]].to_list()
+ if y_data:
+ y_tput_max = \
+ max(y_data) if max(y_data) > y_tput_max else y_tput_max
+ nr_of_samples = len(y_data)
+ tput_kwargs = dict(
+ y=y_data,
+ name=(
+ f"{idx + 1}. "
+ f"({nr_of_samples:02d} "
+ f"run{u's' if nr_of_samples > 1 else u''}) "
+ f"{itm['id']}"
+ ),
+ hoverinfo=u"y+name",
+ boxpoints="all",
+ jitter=0.3,
+ marker=dict(color=_get_color(idx))
+ )
+ tput_traces.append(go.Box(**tput_kwargs))
+
+ show_latency = False
+ if itm["testtype"] == "pdr":
+ y_lat = itm_data[_VALUE["pdr-lat"]].to_list()
+ if y_lat:
+ y_lat_max = max(y_lat) if max(y_lat) > y_lat_max else y_lat_max
+ nr_of_samples = len(y_lat)
+ lat_kwargs = dict(
+ y=y_lat,
+ name=(
+ f"{idx + 1}. "
+ f"({nr_of_samples:02d} "
+ f"run{u's' if nr_of_samples > 1 else u''}) "
+ f"{itm['id']}"
+ ),
+ hoverinfo=u"y+name",
+ boxpoints="all",
+ jitter=0.3,
+ marker=dict(color=_get_color(idx))
+ )
+ x_lat.append(idx + 1)
+ lat_traces.append(go.Box(**lat_kwargs))
+ show_latency = True
+ else:
+ lat_traces.append(go.Box())
- return fig_tput, fig_tsa
+ pl_tput = deepcopy(layout["plot-throughput"])
+ pl_tput[u"xaxis"][u"tickvals"] = [i for i in range(len(sel))]
+ pl_tput[u"xaxis"][u"ticktext"] = [str(i + 1) for i in range(len(sel))]
+ if y_tput_max:
+ pl_tput[u"yaxis"][u"range"] = [0, (int(y_tput_max / 1e6) + 1) * 1e6]
+ fig_tput = go.Figure(data=tput_traces, layout=pl_tput)
+
+ if show_latency:
+ pl_lat = deepcopy(layout["plot-latency"])
+ pl_lat[u"xaxis"][u"tickvals"] = [i for i in range(len(x_lat))]
+ pl_lat[u"xaxis"][u"ticktext"] = x_lat
+ if y_lat_max:
+ pl_lat[u"yaxis"][u"range"] = [0, (int(y_lat_max / 10) + 1) * 10]
+ fig_lat = go.Figure(data=lat_traces, layout=pl_lat)
+
+ return fig_tput, fig_lat
def table_comparison(data: pd.DataFrame, sel:dict) -> pd.DataFrame:
"""
"""
table = pd.DataFrame(
- {
- "Test Case": [
- "64b-2t1c-avf-eth-l2xcbase-eth-2memif-1dcr",
- "64b-2t1c-avf-eth-l2xcbase-eth-2vhostvr1024-1vm-vppl2xc",
- "64b-2t1c-avf-ethip4udp-ip4base-iacl50sl-10kflows",
- "78b-2t1c-avf-ethip6-ip6scale2m-rnd "],
- "2106.0-8": [
- "14.45 +- 0.08",
- "9.63 +- 0.05",
- "9.7 +- 0.02",
- "8.95 +- 0.06"],
- "2110.0-8": [
- "14.45 +- 0.08",
- "9.63 +- 0.05",
- "9.7 +- 0.02",
- "8.95 +- 0.06"],
- "2110.0-9": [
- "14.45 +- 0.08",
- "9.63 +- 0.05",
- "9.7 +- 0.02",
- "8.95 +- 0.06"],
- "2202.0-9": [
- "14.45 +- 0.08",
- "9.63 +- 0.05",
- "9.7 +- 0.02",
- "8.95 +- 0.06"],
- "2110.0-9 vs 2110.0-8": [
- "-0.23 +- 0.62",
- "-1.37 +- 1.3",
- "+0.08 +- 0.2",
- "-2.16 +- 0.83"],
- "2202.0-9 vs 2110.0-9": [
- "+6.95 +- 0.72",
- "+5.35 +- 1.26",
- "+4.48 +- 1.48",
- "+4.09 +- 0.95"]
- }
-)
+ {
+ "Test Case": [
+ "64b-2t1c-avf-eth-l2xcbase-eth-2memif-1dcr",
+ "64b-2t1c-avf-eth-l2xcbase-eth-2vhostvr1024-1vm-vppl2xc",
+ "64b-2t1c-avf-ethip4udp-ip4base-iacl50sl-10kflows",
+ "78b-2t1c-avf-ethip6-ip6scale2m-rnd "],
+ "2106.0-8": [
+ "14.45 +- 0.08",
+ "9.63 +- 0.05",
+ "9.7 +- 0.02",
+ "8.95 +- 0.06"],
+ "2110.0-8": [
+ "14.45 +- 0.08",
+ "9.63 +- 0.05",
+ "9.7 +- 0.02",
+ "8.95 +- 0.06"],
+ "2110.0-9": [
+ "14.45 +- 0.08",
+ "9.63 +- 0.05",
+ "9.7 +- 0.02",
+ "8.95 +- 0.06"],
+ "2202.0-9": [
+ "14.45 +- 0.08",
+ "9.63 +- 0.05",
+ "9.7 +- 0.02",
+ "8.95 +- 0.06"],
+ "2110.0-9 vs 2110.0-8": [
+ "-0.23 +- 0.62",
+ "-1.37 +- 1.3",
+ "+0.08 +- 0.2",
+ "-2.16 +- 0.83"],
+ "2202.0-9 vs 2110.0-9": [
+ "+6.95 +- 0.72",
+ "+5.35 +- 1.26",
+ "+4.48 +- 1.48",
+ "+4.09 +- 0.95"]
+ }
+ )
- return table
+ return pd.DataFrame() #table
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
),
from ..data.data import Data
from ..data.url_processing import url_decode, url_encode
-from .graphs import graph_iterative, table_comparison
+from .graphs import graph_iterative, table_comparison, get_short_version
class Layout:
for _, row in self._data[cols].drop_duplicates().iterrows():
rls = row["release"]
ttype = row["test_type"]
- d_ver = row["dut_version"]
lst_job = row["job"].split("-")
dut = lst_job[1]
+ d_ver = get_short_version(row["dut_version"], dut)
tbed = "-".join(lst_job[-2:])
lst_test_id = row["test_id"].split(".")
if dut == "dpdk":
nic = suite.split("-")[0]
for drv in self.DRIVERS:
if drv in test:
- if drv == "af-xdp":
- driver = "af_xdp"
- else:
- driver = drv
+ driver = drv.replace("-", "_")
test = test.replace(f"{drv}-", "")
break
else:
tbs[rls][dut][d_ver][infra][area] = dict()
if tbs[rls][dut][d_ver][infra][area].get(test, None) is None:
tbs[rls][dut][d_ver][infra][area][test] = dict()
- tbs_test = tbs[rls][dut][d_ver][infra][area][test]
- tbs_test["core"] = list()
- tbs_test["frame-size"] = list()
- tbs_test["test-type"] = list()
- if core.upper() not in tbs_test["core"]:
- tbs_test["core"].append(core.upper())
- if framesize.upper() not in tbs_test["frame-size"]:
- tbs_test["frame-size"].append(framesize.upper())
+ tbs[rls][dut][d_ver][infra][area][test]["core"] = list()
+ tbs[rls][dut][d_ver][infra][area][test]["frame-size"] = list()
+ tbs[rls][dut][d_ver][infra][area][test]["test-type"] = list()
+ if core.upper() not in \
+ tbs[rls][dut][d_ver][infra][area][test]["core"]:
+ tbs[rls][dut][d_ver][infra][area][test]["core"].append(
+ core.upper())
+ if framesize.upper() not in \
+ tbs[rls][dut][d_ver][infra][area][test]["frame-size"]:
+ tbs[rls][dut][d_ver][infra][area][test]["frame-size"].append(
+ framesize.upper())
if ttype == "mrr":
- if "MRR" not in tbs_test["test-type"]:
- tbs_test["test-type"].append("MRR")
+ if "MRR" not in \
+ tbs[rls][dut][d_ver][infra][area][test]["test-type"]:
+ tbs[rls][dut][d_ver][infra][area][test]["test-type"].append(
+ "MRR")
elif ttype == "ndrpdr":
- if "NDR" not in tbs_test["test-type"]:
- tbs_test["test-type"].extend(("NDR", "PDR", ))
+ if "NDR" not in \
+ tbs[rls][dut][d_ver][infra][area][test]["test-type"]:
+ tbs[rls][dut][d_ver][infra][area][test]["test-type"].extend(
+ ("NDR", "PDR", ))
self._spec_tbs = tbs
# Read from files:
width=6
),
dbc.Col(
- dbc.Row( # TSA
- id="row-graph-tsa",
+ dbc.Row( # Latency
+ id="row-graph-lat",
class_name="g-0 p-2",
children=[
self.PLACEHOLDER
"""
"""
- (fig_tput, fig_tsa) = figs
+ (fig_tput, fig_lat) = figs
row_fig_tput = self.PLACEHOLDER
- row_fig_tsa = self.PLACEHOLDER
+ row_fig_lat = self.PLACEHOLDER
row_table = self.PLACEHOLDER
row_btn_dwnld = self.PLACEHOLDER
]
)
]
- if fig_tsa:
- row_fig_tsa = [
+ if fig_lat:
+ row_fig_lat = [
dcc.Graph(
id={"type": "graph", "index": "lat"},
- figure=fig_tsa
+ figure=fig_lat
)
]
if not table.empty:
)
]
- return row_fig_tput, row_fig_tsa, row_table, row_btn_dwnld
+ return row_fig_tput, row_fig_lat, row_table, row_btn_dwnld
@app.callback(
Output("control-panel", "data"), # Store
Output("selected-tests", "data"), # Store
Output("row-graph-tput", "children"),
- Output("row-graph-tsa", "children"),
+ Output("row-graph-lat", "children"),
Output("row-table", "children"),
Output("row-btn-download", "children"),
Output("row-card-sel-tests", "style"),
parsed_url = url_decode(href)
row_fig_tput = no_update
- row_fig_tsa = no_update
+ row_fig_lat = no_update
row_table = no_update
row_btn_dwnld = no_update
row_card_sel_tests = no_update
ctrl_panel.set({
"cl-selected-options": self._list_tests(store_sel)
})
- row_fig_tput, row_fig_tsa, row_table, row_btn_dwnld = \
+ row_fig_tput, row_fig_lat, row_table, row_btn_dwnld = \
_generate_plotting_area(
graph_iterative(self.data, store_sel, self.layout),
table_comparison(self.data, store_sel),
elif trigger_id == "btn-sel-remove-all":
_ = btn_remove_all
row_fig_tput = self.PLACEHOLDER
- row_fig_tsa = self.PLACEHOLDER
+ row_fig_lat = self.PLACEHOLDER
row_table = self.PLACEHOLDER
row_btn_dwnld = self.PLACEHOLDER
row_card_sel_tests = self.STYLE_DISABLED
new_store_sel.append(item)
store_sel = new_store_sel
if store_sel:
- row_fig_tput, row_fig_tsa, row_table, row_btn_dwnld = \
+ row_fig_tput, row_fig_lat, row_table, row_btn_dwnld = \
_generate_plotting_area(
graph_iterative(self.data, store_sel, self.layout),
table_comparison(self.data, store_sel),
})
else:
row_fig_tput = self.PLACEHOLDER
- row_fig_tsa = self.PLACEHOLDER
+ row_fig_lat = self.PLACEHOLDER
row_table = self.PLACEHOLDER
row_btn_dwnld = self.PLACEHOLDER
row_card_sel_tests = self.STYLE_DISABLED
store_sel = literal_eval(
url_params.get("store_sel", list())[0])
if store_sel:
- row_fig_tput, row_fig_tsa, row_table, row_btn_dwnld = \
+ row_fig_tput, row_fig_lat, row_table, row_btn_dwnld = \
_generate_plotting_area(
graph_iterative(self.data, store_sel,
self.layout),
})
else:
row_fig_tput = self.PLACEHOLDER
- row_fig_tsa = self.PLACEHOLDER
+ row_fig_lat = self.PLACEHOLDER
row_table = self.PLACEHOLDER
row_btn_dwnld = self.PLACEHOLDER
row_card_sel_tests = self.STYLE_DISABLED
ret_val = [
ctrl_panel.panel, store_sel,
- row_fig_tput, row_fig_tsa, row_table, row_btn_dwnld,
+ row_fig_tput, row_fig_lat, row_table, row_btn_dwnld,
row_card_sel_tests, row_btns_sel_tests
]
ret_val.extend(ctrl_panel.values())
plot-throughput:
- titlefont:
- size: 16
xaxis:
title: "<b>Test Cases [Index]</b>"
- titlefont:
- size: 14
autorange: True
fixedrange: False
gridcolor: "rgb(230, 230, 230)"
showticklabels: True
tickcolor: "rgb(220, 220, 220)"
tickmode: "array"
- tickfont:
- size: 14
zeroline: False
yaxis:
- title: "<b>Packet Throughput [Mpps]</b>"
- titlefont:
- size: 14
+ title: "<b>Packet Throughput [pps]</b>"
gridcolor: "rgb(230, 230, 230)"
- hoverformat: ".4r"
- tickformat: ".3r"
+ hoverformat: ".3s"
+ tickformat: ".3s"
linecolor: "rgb(220, 220, 220)"
linewidth: 1
showgrid: True
showline: True
showticklabels: True
tickcolor: "rgb(220, 220, 220)"
- tickfont:
- size: 14
zeroline: False
range: [0, 50]
autosize: False
legend:
orientation: "h"
font:
- size: 14
+ size: 10
+ width: 700
+ height: 900
+ paper_bgcolor: "#fff"
+ plot_bgcolor: "#fff"
+ hoverlabel:
+ namelength: -1
+
+plot-latency:
+ xaxis:
+ title: "<b>Test Cases [Index]</b>"
+ autorange: True
+ fixedrange: False
+ gridcolor: "rgb(230, 230, 230)"
+ linecolor: "rgb(220, 220, 220)"
+ linewidth: 1
+ showgrid: True
+ showline: True
+ showticklabels: True
+ tickcolor: "rgb(220, 220, 220)"
+ tickmode: "array"
+ zeroline: False
+ yaxis:
+ title: "<b>Packet Latency [us]</b>"
+ gridcolor: "rgb(230, 230, 230)"
+ hoverformat: ".3s"
+ tickformat: ".3s"
+ linecolor: "rgb(220, 220, 220)"
+ linewidth: 1
+ showgrid: True
+ showline: True
+ showticklabels: True
+ tickcolor: "rgb(220, 220, 220)"
+ zeroline: False
+ range: [0, 50]
+ autosize: False
+ margin:
+ t: 50
+ b: 0
+ l: 80
+ r: 20
+ showlegend: True
+ legend:
+ orientation: "h"
+ font:
+ size: 10
width: 700
height: 900
paper_bgcolor: "#fff"
hoverlabel:
namelength: -1
+plot-hdrh-latency:
+ # title:
+ # text: "Latency by Percentile Distribution"
+ # xanchor: "center"
+ # x: 0.5
+ # font:
+ # size: 10
+ showlegend: True
+ legend:
+ traceorder: "normal"
+ orientation: "h"
+ # font:
+ # size: 16
+ xanchor: "left"
+ yanchor: "top"
+ x: 0
+ y: -0.25
+ bgcolor: "rgba(255, 255, 255, 0)"
+ bordercolor: "rgba(255, 255, 255, 0)"
+ xaxis:
+ type: "log"
+ title: "Percentile [%]"
+ # titlefont:
+ # size: 14
+ autorange: False
+ fixedrange: True
+ gridcolor: "rgb(230, 230, 230)"
+ linecolor: "rgb(220, 220, 220)"
+ linewidth: 1
+ showgrid: True
+ showline: True
+ showticklabels: True
+ tickcolor: "rgb(220, 220, 220)"
+ tickvals: [1, 2, 1e1, 20, 1e2, 1e3, 1e4, 1e5, 1e6]
+ ticktext: [0, 50, 90, 95, 99, 99.9, 99.99, 99.999, 99.9999]
+ # tickfont:
+ # size: 14
+ yaxis:
+ title: "One-Way Latency per Direction [us]"
+ # titlefont:
+ # size: 14
+ gridcolor: "rgb(230, 230, 230)"
+ linecolor: "rgb(220, 220, 220)"
+ linewidth: 1
+ showgrid: True
+ showline: True
+ showticklabels: True
+ tickcolor: "rgb(220, 220, 220)"
+ # tickfont:
+ # size: 14
+ autosize: True
+ #height: 400
+ paper_bgcolor: "white"
+ plot_bgcolor: "white"
+
plot-throughput-speedup-analysis:
titlefont:
size: 16
<p class="lead">
<a href="/trending/" class="btn btn-primary fw-bold">Performance Trending</a>
</p>
+ <p class="lead">
+ <a href="/report/" class="btn btn-primary fw-bold">Iterative Test Runs</a>
+ </p>
<p class="lead">
<a href="/stats/" class="btn btn-primary fw-bold">Job Statistics</a>
</p>
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,
}
+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:
"""
"""
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)
)]
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:
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:
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
),
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