def loads(cls, raw: str, *, name: Timegroup) -> 'PredictionInfo':
data = json.loads(raw)
range_ = data["range"]
return cls(
name=name, # explicitly passed. (not in `data` before 2.1)
time=int(data["time"]),
range=(Timestamp(range_[0]), Timestamp(range_[1])),
cf=ConsolidationFunctionName(data["cf"]),
dsname=MetricName(data["dsname"]),
slice=int(data["slice"]),
params=dict(data["params"]),
)
def _metric_title_from_id(metric_or_graph_id: MetricName) -> str:
metric_id = metric_or_graph_id.replace("METRIC_", "")
return metric_info.get(metric_id, {}).get("title", metric_id)
def metric_title(metric_name: _MetricName) -> str:
return metric_info.get(metric_name, {}).get("title", metric_name.title())