`InfoMetricFamily`’s `add_metric()` parameters are strangely named and should provide default values

Hey.

I was looking into InfoMetricFamily’s add_metric() and I either I just don't get it or the API is a bit strange.

With an Info object I'd have done something like this:

m = prometheus_client.Info("logical_drive", "foobar", ("controller_name",
                                                       "array_name",
                                                       "logical_drive_name",
                                                       "caching",
                                                       "device",
                                                       "raid_level",
                                                       "logical_drive_label",
                                                       "multidomain_status",
                                                       "parity_initialization_status",
                                                       "status"
                                                      )
                      )

and then set it like:

m.labels(controller_name=controller_name, array_name=array_name, logical_drive_name=logical_drive_name,
         **{n: logical_drive_properties.get(n, "")  for n in (
                                                              "device",
                                                              "raid_level",
                                                              "logical_drive_label",
                                                              "multidomain_status",
                                                              "parity_initialization_status",
                                                              "status"
                                                             )
           },
         caching=bool_or_none_to_label_value( logical_drive_properties.get("caching") )
        )

(here an example where I set some of the properties directly, and some via dict unpacking)

• It would fail if I forgot a label.
• I could use label names as attribute names, like controller_name= rather than "controller_name"=... which is however not super important

With InfoMetricFamily seem quite a bit different:

• add_metric() now has the parameters labels and value.
• As far as I understand the code, labels are actually not labels, but values for these, namely the ones set with labels in the constructor of InfoMetricFamily.
• It's no longer possible to give labels as dict, one really needs to give them in the right order as sequence. Why does Info allow that but not this?
• AFAICS, there is no check if exactly those labels are set, that were given in the constructor. Why over at Info but not here? What sense does it then even make to set the labels in the constructor?
• value is misleading in so many ways. It's not the value of the metric (that is 1) and even if it relates to the labels being the “value”, then it should be values.
• It might have perhaps even been better to swap the two names... or rater use some completely different names.

Anyway... guess this can't be changed now without breaking the ABI.

However, as far as I understand the code:
https://github.com/prometheus/client_python/blob/09a5ae30602a7a81f6174dae4ba08b93ee7feed2/prometheus_client/metrics_core.py#L372

the idea is one can give labels and/or value and both are merged in a final dict of label/value pairs.... but then it would be nice if labels and value were not required.

Why not simply give them default values () respectively {}?

I could provide a patch if nothing speaks against that particular change. But the above points are IMO still problematic. Especially also that the behaviour is considerable different from Info, which is not really obvious.

Cheers,
Chris.

Beginne mit der verlinkten InfoMetricFamily.add_metric()-Implementierung in prometheus_client/metrics_core.py um Zeile 372 und vergleiche anschließend deren Parameterbehandlung mit Info. Bestätige die vorgesehenen Defaults und die Kompatibilitätsauswirkungen für labels und value; abgeschlossen ist die Aufgabe, wenn eine abgestimmte API-Änderung implementiert wurde, ohne bestehende Aufrufer zu beeinträchtigen, und ihr Verhalten durch Tests abgedeckt ist.