Tiny add gauge histogram abstraction for engine and router (#16848)

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fzyzcjy
2026-01-10 11:45:25 +08:00
committed by GitHub
parent e6d40bff81
commit 1f9d4795a9
4 changed files with 351 additions and 0 deletions

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"""Gauge with gt/le bucket labels for Grafana heatmap visualization.
Unlike Prometheus Histogram which uses cumulative buckets, this uses
non-cumulative buckets (gt < value <= le) suitable for heatmap display.
Note: Keep in sync with Rust implementation in
sgl-model-gateway/src/observability/gauge_histogram.rs
"""
import bisect
from typing import Dict, Iterator, List, Tuple, Union
class BucketLabels:
"""Bucket label pairs and count computation for a GaugeHistogram."""
def __init__(self, upper_bounds: List[Union[int, float]]):
self._upper_bounds = upper_bounds
self._labels: List[Tuple[str, str]] = []
for i, upper in enumerate(upper_bounds):
lower = upper_bounds[i - 1] if i > 0 else 0
self._labels.append((str(lower), str(upper)))
self._labels.append((str(upper_bounds[-1]), "+Inf"))
def __len__(self) -> int:
return len(self._labels)
def __iter__(self) -> Iterator[Tuple[str, str]]:
return iter(self._labels)
def compute_bucket_counts(self, observations: List[Union[int, float]]) -> List[int]:
"""Compute how many observations fall into each bucket. O(n) complexity."""
counts = [0] * len(self)
for v in observations:
# bisect_left finds insertion point; values at boundary go to current bucket
idx = bisect.bisect_left(self._upper_bounds, v)
counts[idx] += 1
return counts
class GaugeHistogram:
"""Gauge with gt/le bucket labels for Grafana heatmap visualization."""
def __init__(
self,
name: str,
documentation: str,
labelnames: List[str],
bucket_bounds: List[Union[int, float]],
multiprocess_mode: str = "mostrecent",
):
from prometheus_client import Gauge
self._buckets = BucketLabels(bucket_bounds)
self._gauge = Gauge(
name=name,
documentation=documentation,
labelnames=list(labelnames) + ["gt", "le"],
multiprocess_mode=multiprocess_mode,
)
def set_raw(self, labels: Dict[str, str], values: List[int]):
"""Set bucket counts directly."""
for (gt, le), count in zip(self._buckets, values):
self._gauge.labels(**labels, gt=gt, le=le).set(count)
def set_by_current_observations(
self, labels: Dict[str, str], observations: List[Union[int, float]]
):
"""Compute bucket counts from observations and set them."""
counts = self._buckets.compute_bucket_counts(observations)
self.set_raw(labels, counts)
def buckets(self) -> BucketLabels:
return self._buckets