diff options
Diffstat (limited to 'resources/tools/dash/app/pal/trending/graphs.py')
| -rw-r--r-- | resources/tools/dash/app/pal/trending/graphs.py | 38 |
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 ), |