def compute_graph_curves(metrics, rrd_data):
curves = []
for metric_definition in metrics:
expression = metric_definition["expression"]
time_series = evaluate_time_series_expression(expression, rrd_data)
if not time_series:
continue
multi = len(time_series) > 1
mirror_prefix = "-" if metric_definition["line_type"].startswith("-") else ""
for i, ts in enumerate(time_series):
title = metric_definition["title"]
if ts.metadata.get('title') and multi:
title += " - " + ts.metadata['title']
color = metric_definition.get("color", ts.metadata.get('color', "#000000"))
if i % 2 == 1 and not (expression[0] == "transformation" and
expression[1][0] == "forecast"):
color = render_color(fade_color(parse_color(color), 0.3))
curves.append({
"line_type": mirror_prefix + ts.metadata.get('line_type', "")
if multi else metric_definition["line_type"],
"color": color,
'title': title,
'rrddata': ts
})
return curves
def compute_graph_curves(metrics: Sequence[GraphMetric],
rrd_data: RRDData) -> list[Curve]:
curves = []
for metric_definition in metrics:
expression = metric_definition["expression"]
time_series = evaluate_time_series_expression(expression, rrd_data)
if not time_series:
continue
multi = len(time_series) > 1
mirror_prefix = "-" if metric_definition["line_type"].startswith(
"-") else ""
for i, ts in enumerate(time_series):
title = metric_definition["title"]
if ts.metadata.get("title") and multi:
title += " - " + ts.metadata["title"]
color = metric_definition.get("color",
ts.metadata.get("color", "#000000"))
if i % 2 == 1 and not (expression[0] == "transformation"
and expression[1][0] == "forecast"):
color = render_color(fade_color(parse_color(color), 0.3))
curves.append(
Curve({
"line_type":
mirror_prefix + ts.metadata.get("line_type", "")
if multi else metric_definition["line_type"],
"color":
color,
"title":
title,
"rrddata":
ts,
}))
return curves