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)