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authorTibor Frank <tifrank@cisco.com>2022-07-21 13:40:50 +0200
committerTibor Frank <tifrank@cisco.com>2022-07-21 13:40:50 +0200
commitaa9f6d2b4d417b439e2953a9c82c31b0d561f632 (patch)
tree39e7ec4ed6199b332ae7ab5ac59510e677e1e144 /resources/tools/dash/app/pal/trending/graphs.py
parentae1fe880286d7b0414664bce2b2c7c91c3f543f3 (diff)
UTI: Move common functions to utils.
Change-Id: Ic390359afcea7855a964f8f9793f6d17a5b9b616 Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'resources/tools/dash/app/pal/trending/graphs.py')
-rw-r--r--resources/tools/dash/app/pal/trending/graphs.py14
1 files changed, 4 insertions, 10 deletions
diff --git a/resources/tools/dash/app/pal/trending/graphs.py b/resources/tools/dash/app/pal/trending/graphs.py
index 0b4968082f..4cd8285f72 100644
--- a/resources/tools/dash/app/pal/trending/graphs.py
+++ b/resources/tools/dash/app/pal/trending/graphs.py
@@ -23,13 +23,7 @@ import hdrh.codec
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:
@@ -272,7 +266,7 @@ def graph_trending(data: pd.DataFrame, sel:dict, layout: 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:
@@ -281,7 +275,7 @@ def graph_trending(data: pd.DataFrame, sel:dict, layout: dict,
if itm["testtype"] == "pdr":
traces = _generate_trending_traces(
- "pdr-lat", name, df, start, end, _get_color(idx), norm_factor
+ "pdr-lat", name, df, start, end, get_color(idx), norm_factor
)
if traces:
if not fig_lat:
@@ -348,7 +342,7 @@ def graph_hdrh_latency(data: dict, layout: dict) -> go.Figure:
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
),