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Metrics

The hera.workflows.metrics module implements independent and Prometheus metrics that can be used in Argo.

Label 

Label = _ModelMetricLabel

Counter

Counter metric component used to count specific events based on the given value.

Notes

See https://argoproj.github.io/argo-workflows/metrics/#grafana-dashboard-for-argo-controller-metrics

Source code in src/hera/workflows/metrics.py 
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@dataclass(kw_only=True)
class Counter(_BaseMetric):
    """Counter metric component used to count specific events based on the given value.

    Notes:
        See <https://argoproj.github.io/argo-workflows/metrics/#grafana-dashboard-for-argo-controller-metrics>
    """

    value: str

    def _build_metric(self) -> _ModelPrometheus:
        return _ModelPrometheus(
            counter=_ModelCounter(value=self.value),
            gauge=None,
            help=self.help,
            histogram=None,
            labels=self._build_labels(),
            name=self.name,
            when=self.when,
        )

help 

help: str

labels 

labels: Optional[Union[Label, List[Label]]] = None

name 

name: str

value 

value: str

when 

when: Optional[str] = None

Gauge

Gauge metric component used to record intervals based on the given value.

Notes

See https://argoproj.github.io/argo-workflows/metrics/#grafana-dashboard-for-argo-controller-metrics

Source code in src/hera/workflows/metrics.py 
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@dataclass(kw_only=True)
class Gauge(_BaseMetric):
    """Gauge metric component used to record intervals based on the given value.

    Notes:
        See <https://argoproj.github.io/argo-workflows/metrics/#grafana-dashboard-for-argo-controller-metrics>
    """

    realtime: bool
    value: str
    operation: Optional[str] = None

    def _build_metric(self) -> _ModelPrometheus:
        return _ModelPrometheus(
            counter=None,
            gauge=_ModelGauge(realtime=self.realtime, value=self.value, operation=self.operation),
            help=self.help,
            histogram=None,
            labels=self._build_labels(),
            name=self.name,
            when=self.when,
        )

help 

help: str

labels 

labels: Optional[Union[Label, List[Label]]] = None

name 

name: str

operation 

operation: Optional[str] = None

realtime 

realtime: bool

value 

value: str

when 

when: Optional[str] = None

Histogram

Histogram metric that records the value at the specified bucket intervals.

Notes

See https://argoproj.github.io/argo-workflows/metrics/#grafana-dashboard-for-argo-controller-metrics

Source code in src/hera/workflows/metrics.py 
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@dataclass(kw_only=True)
class Histogram(_BaseMetric):
    """Histogram metric that records the value at the specified bucket intervals.

    Notes:
        See <https://argoproj.github.io/argo-workflows/metrics/#grafana-dashboard-for-argo-controller-metrics>
    """

    buckets: List[float | _ModelAmount]
    value: str

    def _build_buckets(self) -> List[_ModelAmount]:
        return [bucket if isinstance(bucket, _ModelAmount) else _ModelAmount(root=bucket) for bucket in self.buckets]

    def _build_metric(self) -> _ModelPrometheus:
        return _ModelPrometheus(
            counter=None,
            gauge=None,
            help=self.help,
            histogram=_ModelHistogram(
                buckets=self._build_buckets(),
                value=self.value,
            ),
            labels=self._build_labels(),
            name=self.name,
            when=self.when,
        )

buckets 

buckets: List[float | Amount]

help 

help: str

labels 

labels: Optional[Union[Label, List[Label]]] = None

name 

name: str

value 

value: str

when 

when: Optional[str] = None

Metric

Prometheus metric that can be used at the workflow or task/template level.

Notes

See https://argoproj.github.io/argo-workflows/metrics/#grafana-dashboard-for-argo-controller-metrics

Source code in src/hera/workflows/metrics.py 
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@dataclass(kw_only=True)
class Metric(_BaseMetric):
    """Prometheus metric that can be used at the workflow or task/template level.

    Notes:
        See <https://argoproj.github.io/argo-workflows/metrics/#grafana-dashboard-for-argo-controller-metrics>
    """

    counter: Optional[Counter] = None
    gauge: Optional[Gauge] = None
    histogram: Optional[Histogram] = None

    def _build_metric(self) -> _ModelPrometheus:
        return _ModelPrometheus(
            counter=_ModelCounter(value=self.counter.value) if self.counter else None,
            gauge=_ModelGauge(realtime=self.gauge.realtime, value=self.gauge.value) if self.gauge else None,
            help=self.help,
            histogram=_ModelHistogram(
                buckets=self.histogram._build_buckets(),
                value=self.histogram.value,
            )
            if self.histogram
            else None,
            labels=self._build_labels(),
            name=self.name,
            when=self.when,
        )

counter 

counter: Optional[Counter] = None

gauge 

gauge: Optional[Gauge] = None

help 

help: str

histogram 

histogram: Optional[Histogram] = None

labels 

labels: Optional[Union[Label, List[Label]]] = None

name 

name: str

when 

when: Optional[str] = None

Metrics

A collection of Prometheus metrics.

Notes

See https://argoproj.github.io/argo-workflows/metrics/#grafana-dashboard-for-argo-controller-metrics

Source code in src/hera/workflows/metrics.py 
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@dataclass(kw_only=True)
class Metrics(BaseMixin):
    """A collection of Prometheus metrics.

    Notes:
        See <https://argoproj.github.io/argo-workflows/metrics/#grafana-dashboard-for-argo-controller-metrics>
    """

    metrics: List[Metric]

    def _build_metrics(self) -> List[_ModelPrometheus]:
        return [metric._build_metric() for metric in self.metrics]

metrics 

metrics: List[Metric]

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