Name:      errorsTotal,
		Help:      "Objects with healing failed since server uptime",
		Type:      counterMetric,
	}
}

func getHealLastActivityTimeMD() MetricDescription {
	return MetricDescription{
		Namespace: healMetricNamespace,
		Subsystem: timeSubsystem,
		Name:      lastActivityTime,
		Help:      "Time elapsed (in nano seconds) since last self healing activity",
		Type:      gaugeMetric,
	}
}

Another big feature required by APIs is <abbr title="reading and converting to Python data">parsing</abbr> data from incoming requests.

Webargs is a tool that was made to provide that on top of several frameworks, including Flask.

It uses Marshmallow underneath to do the data validation. And it was created by the same developers.

It's a great tool and I have used it a lot too, before having **FastAPI**.

/// info

    /** The key of the message: Delete old user logs */
    public static final String LABELS_PURGE_USER_INFO_DAY = "{labels.purgeUserInfoDay}";

    /** The key of the message: Reading */
    public static final String LABELS_READING = "{labels.reading}";

    /** The key of the message: Role IDs */
    public static final String LABELS_ROLE_TYPE_IDS = "{labels.roleTypeIds}";

    /** The key of the message: Script */

        }
    }

    @Override
    public boolean canRead() throws SmbException {
        if (getType() == TYPE_NAMED_PIPE) { // try opening the pipe for reading?
            return true;
        }
        return exists(); // try opening and catch sharing violation?
    }

    @Override
    public boolean canWrite() throws SmbException {

labels.lang=Langue
labels.outputs=Sorties
labels.pos=Partie du discours
labels.purgeJobLogDay=Supprimer les anciens journaux de tâches
labels.purgeUserInfoDay=Supprimer les anciens journaux utilisateur
labels.reading=Lecture
labels.roleTypeIds=ID de rôle
labels.scriptData=Script
labels.scriptResult=Résultat
labels.scriptType=Méthode d'exécution
labels.segmentation=Segmentation
labels.startTime=Heure de début

labels.labelTypeIds=Etichette
labels.lang=Lingua
labels.outputs=Output
labels.pos=Parte del discorso
labels.purgeJobLogDay=Elimina log di lavoro precedenti
labels.purgeUserInfoDay=Elimina log utente precedenti
labels.reading=Lettura
labels.roleTypeIds=ID ruolo
labels.scriptData=Script
labels.scriptResult=Risultato
labels.scriptType=Tipo di esecuzione
labels.segmentation=Segmentazione
labels.startTime=Ora di inizio

* Add a check for file size if the reading content returns empty ([#33976](https://github.com/kubernetes/kubernetes/pull/33976), [@jingxu97](https://github.com/jingxu97))
* Add a retry when reading a file content from a container ([#35560](https://github.com/kubernetes/kubernetes/pull/35560), [@jingxu97](https://github.com/jingxu97))

labels.lang=Idioma
labels.outputs=Salidas
labels.pos=Parte de la oración
labels.purgeJobLogDay=Eliminar registros de trabajos anteriores
labels.purgeUserInfoDay=Eliminar registros de usuarios anteriores
labels.reading=Lectura
labels.roleTypeIds=ID de rol
labels.scriptData=Script
labels.scriptResult=Resultado
labels.scriptType=Tipo de ejecución
labels.segmentation=Segmentación
labels.startTime=Hora de inicio

labels.jobStatus=स्थिति
labels.labelTypeIds=लेबल
labels.lang=भाषा
labels.outputs=आउटपुट
labels.pos=भाषण का भाग
labels.purgeJobLogDay=पुराने जॉब लॉग हटाएं
labels.purgeUserInfoDay=पुराने उपयोगकर्ता लॉग हटाएं
labels.reading=पठन
labels.roleTypeIds=भूमिका IDs
labels.scriptData=स्क्रिप्ट
labels.scriptResult=परिणाम
labels.scriptType=निष्पादन विधि
labels.segmentation=विभाजन
labels.startTime=प्रारंभ समय
labels.target=लक्ष्य

gain (about 100 nanoseconds), please note that in **FastAPI** the effect would be quite opposite. In these cases, it's better to use `async def` unless your *path operation functions* use code that performs blocking <abbr title="Input/Output: disk reading or writing, network communications.">I/O</abbr>.

Still, in both situations, chances are that **FastAPI** will [still be faster](index.md#performance){.internal-link target=_blank} than (or at least comparable to) your previous framework....