import plotly.graph_objects as go
import pandas as pd
+from datetime import datetime
+from pytz import UTC
+
from ..utils.constants import Constants as C
)
)
+ x_range = [data["start_time"][0], datetime.now(tz=UTC).strftime("%Y-%m-%d")]
tickvals = [0, ]
step = max(data["duration"]) / 5
for i in range(5):
f"{(val // 3600):02d}:{((val % 3600) // 60):02d}" \
for val in tickvals
]
+ layout_duration["xaxis"]["range"] = x_range
fig_duration.update_layout(layout_duration)
# Passed / failed:
)
layout_pf = layout.get("plot-stats-passed", dict())
if layout_pf:
+ layout_pf["xaxis"]["range"] = x_range
fig_passed.update_layout(layout_pf)
return fig_passed, fig_duration
import pandas as pd
from numpy import nan
+from datetime import datetime
+from pytz import UTC
from ..utils.constants import Constants as C
from ..utils.utils import get_color, get_hdrh_latencies
fig_tput = None
fig_lat = None
fig_band = None
+ start_times = list()
y_units = set()
for idx, itm in enumerate(sel):
df = select_trending_data(data, itm)
if df is None or df.empty:
continue
+ start_times.append(df["start_time"][0])
if normalize:
phy = itm["phy"].rsplit("-", maxsplit=2)
y_units.update(units)
+ x_range = [min(start_times), datetime.now(tz=UTC).strftime("%Y-%m-%d")]
if fig_tput:
- fig_layout = layout.get("plot-trending-tput", dict())
- fig_layout["yaxis"]["title"] = \
+ layout_tput = layout.get("plot-trending-tput", dict())
+ layout_tput["yaxis"]["title"] = \
f"Throughput [{'|'.join(sorted(y_units))}]"
- fig_tput.update_layout(fig_layout)
+ layout_tput["xaxis"]["range"] = x_range
+ fig_tput.update_layout(layout_tput)
if fig_band:
- fig_band.update_layout(layout.get("plot-trending-bandwidth", dict()))
+ layout_band = layout.get("plot-trending-bandwidth", dict())
+ layout_band["xaxis"]["range"] = x_range
+ fig_band.update_layout(layout_band)
if fig_lat:
- fig_lat.update_layout(layout.get("plot-trending-lat", dict()))
+ layout_lat = layout.get("plot-trending-lat", dict())
+ layout_lat["xaxis"]["range"] = x_range
+ fig_lat.update_layout(layout_lat)
return fig_tput, fig_band, fig_lat