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"""Metrics using SDK Core. (unstable) | ||
Nothing in this module should be considered stable. The API may change. | ||
""" | ||
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from __future__ import annotations | ||
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from typing import Mapping, Optional, Union | ||
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import temporalio.bridge.runtime | ||
import temporalio.bridge.temporal_sdk_bridge | ||
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class MetricMeter: | ||
"""Metric meter using SDK Core.""" | ||
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@staticmethod | ||
def create(runtime: temporalio.bridge.runtime.Runtime) -> Optional[MetricMeter]: | ||
"""Create optional metric meter.""" | ||
ref = temporalio.bridge.temporal_sdk_bridge.new_metric_meter(runtime._ref) | ||
if not ref: | ||
return None | ||
return MetricMeter(ref) | ||
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def __init__( | ||
self, ref: temporalio.bridge.temporal_sdk_bridge.MetricMeterRef | ||
) -> None: | ||
"""Initialize metric meter.""" | ||
self._ref = ref | ||
self._default_attributes = MetricAttributes(ref.default_attributes) | ||
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@property | ||
def default_attributes(self) -> MetricAttributes: | ||
"""Default attributes for the metric meter.""" | ||
return self._default_attributes | ||
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class MetricCounter: | ||
"""Metric counter using SDK Core.""" | ||
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def __init__( | ||
self, | ||
meter: MetricMeter, | ||
name: str, | ||
description: Optional[str], | ||
unit: Optional[str], | ||
) -> None: | ||
"""Initialize counter metric.""" | ||
self._ref = meter._ref.new_counter(name, description, unit) | ||
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def add(self, value: int, attrs: MetricAttributes) -> None: | ||
"""Add value to counter.""" | ||
if value < 0: | ||
raise ValueError("Metric value must be non-negative value") | ||
self._ref.add(value, attrs._ref) | ||
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class MetricHistogram: | ||
"""Metric histogram using SDK Core.""" | ||
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def __init__( | ||
self, | ||
meter: MetricMeter, | ||
name: str, | ||
description: Optional[str], | ||
unit: Optional[str], | ||
) -> None: | ||
"""Initialize histogram.""" | ||
self._ref = meter._ref.new_histogram(name, description, unit) | ||
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def record(self, value: int, attrs: MetricAttributes) -> None: | ||
"""Record value on histogram.""" | ||
if value < 0: | ||
raise ValueError("Metric value must be non-negative value") | ||
self._ref.record(value, attrs._ref) | ||
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class MetricGauge: | ||
"""Metric gauge using SDK Core.""" | ||
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def __init__( | ||
self, | ||
meter: MetricMeter, | ||
name: str, | ||
description: Optional[str], | ||
unit: Optional[str], | ||
) -> None: | ||
"""Initialize gauge.""" | ||
self._ref = meter._ref.new_gauge(name, description, unit) | ||
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def set(self, value: int, attrs: MetricAttributes) -> None: | ||
"""Set value on gauge.""" | ||
if value < 0: | ||
raise ValueError("Metric value must be non-negative value") | ||
self._ref.set(value, attrs._ref) | ||
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class MetricAttributes: | ||
"""Metric attributes using SDK Core.""" | ||
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def __init__( | ||
self, ref: temporalio.bridge.temporal_sdk_bridge.MetricAttributesRef | ||
) -> None: | ||
"""Initialize attributes.""" | ||
self._ref = ref | ||
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def with_additional_attributes( | ||
self, new_attrs: Mapping[str, Union[str, int, float, bool]] | ||
) -> MetricAttributes: | ||
"""Create new attributes with new attributes appended.""" | ||
return MetricAttributes(self._ref.with_additional_attributes(new_attrs)) |
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use std::{collections::HashMap, sync::Arc}; | ||
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use pyo3::exceptions::PyTypeError; | ||
use pyo3::prelude::*; | ||
use temporal_sdk_core_api::telemetry::metrics; | ||
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use crate::runtime; | ||
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#[pyclass] | ||
pub struct MetricMeterRef { | ||
meter: metrics::TemporalMeter, | ||
#[pyo3(get)] | ||
default_attributes: MetricAttributesRef, | ||
} | ||
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#[pyclass] | ||
#[derive(Clone)] | ||
pub struct MetricAttributesRef { | ||
attrs: metrics::MetricAttributes, | ||
} | ||
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#[pyclass] | ||
pub struct MetricCounterRef { | ||
counter: Arc<dyn metrics::Counter>, | ||
} | ||
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#[pyclass] | ||
pub struct MetricHistogramRef { | ||
histogram: Arc<dyn metrics::Histogram>, | ||
} | ||
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#[pyclass] | ||
pub struct MetricGaugeRef { | ||
gauge: Arc<dyn metrics::Gauge>, | ||
} | ||
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pub fn new_metric_meter(runtime_ref: &runtime::RuntimeRef) -> Option<MetricMeterRef> { | ||
runtime_ref | ||
.runtime | ||
.core | ||
.telemetry() | ||
.get_metric_meter() | ||
.map(|meter| { | ||
let default_attributes = MetricAttributesRef { | ||
attrs: meter.inner.new_attributes(meter.default_attribs.clone()), | ||
}; | ||
MetricMeterRef { | ||
meter, | ||
default_attributes, | ||
} | ||
}) | ||
} | ||
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#[pymethods] | ||
impl MetricMeterRef { | ||
fn new_counter( | ||
&self, | ||
name: String, | ||
description: Option<String>, | ||
unit: Option<String>, | ||
) -> MetricCounterRef { | ||
MetricCounterRef { | ||
counter: self | ||
.meter | ||
.inner | ||
.counter(build_metric_parameters(name, description, unit)), | ||
} | ||
} | ||
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fn new_histogram( | ||
&self, | ||
name: String, | ||
description: Option<String>, | ||
unit: Option<String>, | ||
) -> MetricHistogramRef { | ||
MetricHistogramRef { | ||
histogram: self | ||
.meter | ||
.inner | ||
.histogram(build_metric_parameters(name, description, unit)), | ||
} | ||
} | ||
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fn new_gauge( | ||
&self, | ||
name: String, | ||
description: Option<String>, | ||
unit: Option<String>, | ||
) -> MetricGaugeRef { | ||
MetricGaugeRef { | ||
gauge: self | ||
.meter | ||
.inner | ||
.gauge(build_metric_parameters(name, description, unit)), | ||
} | ||
} | ||
} | ||
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#[pymethods] | ||
impl MetricCounterRef { | ||
fn add(&self, value: u64, attrs_ref: &MetricAttributesRef) { | ||
self.counter.add(value, &attrs_ref.attrs); | ||
} | ||
} | ||
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#[pymethods] | ||
impl MetricHistogramRef { | ||
fn record(&self, value: u64, attrs_ref: &MetricAttributesRef) { | ||
self.histogram.record(value, &attrs_ref.attrs); | ||
} | ||
} | ||
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#[pymethods] | ||
impl MetricGaugeRef { | ||
fn set(&self, value: u64, attrs_ref: &MetricAttributesRef) { | ||
self.gauge.record(value, &attrs_ref.attrs); | ||
} | ||
} | ||
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fn build_metric_parameters( | ||
name: String, | ||
description: Option<String>, | ||
unit: Option<String>, | ||
) -> metrics::MetricParameters { | ||
let mut build = metrics::MetricParametersBuilder::default(); | ||
build.name(name); | ||
if let Some(description) = description { | ||
build.description(description); | ||
} | ||
if let Some(unit) = unit { | ||
build.unit(unit); | ||
} | ||
// Should be nothing that would fail validation here | ||
build.build().unwrap() | ||
} | ||
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#[pymethods] | ||
impl MetricAttributesRef { | ||
fn with_additional_attributes<'p>( | ||
&self, | ||
py: Python<'p>, | ||
new_attrs: HashMap<String, PyObject>, | ||
) -> PyResult<Self> { | ||
let mut attrs = self.attrs.clone(); | ||
attrs.add_new_attrs( | ||
new_attrs | ||
.into_iter() | ||
.map(|(k, obj)| metric_key_value_from_py(py, k, obj)) | ||
.collect::<PyResult<Vec<metrics::MetricKeyValue>>>()?, | ||
); | ||
Ok(MetricAttributesRef { attrs }) | ||
} | ||
} | ||
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fn metric_key_value_from_py<'p>( | ||
py: Python<'p>, | ||
k: String, | ||
obj: PyObject, | ||
) -> PyResult<metrics::MetricKeyValue> { | ||
let val = if let Ok(v) = obj.extract::<String>(py) { | ||
metrics::MetricValue::String(v) | ||
} else if let Ok(v) = obj.extract::<bool>(py) { | ||
metrics::MetricValue::Bool(v) | ||
} else if let Ok(v) = obj.extract::<i64>(py) { | ||
metrics::MetricValue::Int(v) | ||
} else if let Ok(v) = obj.extract::<f64>(py) { | ||
metrics::MetricValue::Float(v) | ||
} else { | ||
return Err(PyTypeError::new_err(format!( | ||
"Invalid value type for key {}, must be str, int, float, or bool", | ||
k | ||
))); | ||
}; | ||
Ok(metrics::MetricKeyValue::new(k, val)) | ||
} |
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