def _compute_scalars(graph_recipe, curves, start_time, end_time, step,
pin_time):
unit = unit_info[graph_recipe["unit"]]
for curve in curves:
if curve.get("dont_paint"):
continue
rrddata = curve["rrddata"]
pin = None
if pin_time is not None:
pin = _get_value_at_timestamp(start_time, end_time, step, pin_time,
rrddata)
rrddata = timeseries.clean_time_series_point(rrddata)
if rrddata:
scalars = {
"pin": pin,
"first": rrddata[0],
"last": rrddata[-1],
"max": max(rrddata),
"min": min(rrddata),
"average": sum(rrddata) / float(len(rrddata))
}
else:
scalars = {
x: None
for x in ["pin", "first", "last", "max", "min", "average"]
}
curve["scalars"] = {}
for key, value in scalars.items():
curve["scalars"][key] = _render_scalar_value(value, unit)
def _compute_scalars(
graph_recipe: GraphRecipe, curves: Sequence[Curve], pin_time: Optional[int]
) -> None:
unit = unit_info[graph_recipe["unit"]]
for curve in curves:
if curve.get("dont_paint"):
continue
rrddata = curve["rrddata"]
pin = None
if pin_time is not None:
pin = _get_value_at_timestamp(pin_time, rrddata)
clean_rrddata = timeseries.clean_time_series_point(rrddata)
if clean_rrddata:
scalars = {
"pin": pin,
"first": clean_rrddata[0],
"last": clean_rrddata[-1],
"max": max(clean_rrddata),
"min": min(clean_rrddata),
"average": sum(clean_rrddata) / float(len(clean_rrddata)),
}
else:
scalars = {x: None for x in ["pin", "first", "last", "max", "min", "average"]}
curve["scalars"] = {}
for key, value in scalars.items():
curve["scalars"][key] = _render_scalar_value(value, unit)
