from datetime import datetime
from ..utils.constants import Constants as C
-from ..utils.utils import classify_anomalies
-
-
-def _get_color(idx: int) -> str:
- """
- """
- return C.PLOT_COLORS[idx % len(C.PLOT_COLORS)]
+from ..utils.utils import classify_anomalies, get_color
def _get_hdrh_latencies(row: pd.Series, name: str) -> dict:
else:
norm_factor = 1.0
traces = _generate_trending_traces(
- itm["testtype"], name, df, start, end, _get_color(idx), norm_factor
+ itm["testtype"], name, df, start, end, get_color(idx), norm_factor
)
if traces:
if not fig_tput:
if itm["testtype"] == "pdr":
traces = _generate_trending_traces(
- "pdr-lat", name, df, start, end, _get_color(idx), norm_factor
+ "pdr-lat", name, df, start, end, get_color(idx), norm_factor
)
if traces:
if not fig_lat:
legendgroup=C.GRAPH_LAT_HDRH_DESC[lat_name],
showlegend=bool(idx % 2),
line=dict(
- color=_get_color(int(idx/2)),
+ color=get_color(int(idx/2)),
dash="solid",
width=1 if idx % 2 else 2
),