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| 1 | +# SPDX-License-Identifier: Apache-2.0 |
| 2 | + |
| 3 | +import prometheus_client |
| 4 | +import pytest |
| 5 | + |
| 6 | +from vllm.v1.metrics.reader import (Counter, Gauge, Histogram, Vector, |
| 7 | + get_metrics_snapshot) |
| 8 | + |
| 9 | + |
| 10 | +@pytest.fixture(autouse=True) |
| 11 | +def test_registry(monkeypatch): |
| 12 | + # Use a custom registry for tests |
| 13 | + test_registry = prometheus_client.CollectorRegistry(auto_describe=True) |
| 14 | + monkeypatch.setattr("vllm.v1.metrics.reader.REGISTRY", test_registry) |
| 15 | + return test_registry |
| 16 | + |
| 17 | + |
| 18 | +@pytest.mark.parametrize("num_engines", [1, 4]) |
| 19 | +def test_gauge_metric(test_registry, num_engines): |
| 20 | + g = prometheus_client.Gauge("vllm:test_gauge", |
| 21 | + "Test gauge metric", |
| 22 | + labelnames=["model", "engine_index"], |
| 23 | + registry=test_registry) |
| 24 | + for i in range(num_engines): |
| 25 | + g.labels(model="foo", engine_index=str(i)).set(98.5) |
| 26 | + |
| 27 | + metrics = get_metrics_snapshot() |
| 28 | + assert len(metrics) == num_engines |
| 29 | + engine_labels = [str(i) for i in range(num_engines)] |
| 30 | + for m in metrics: |
| 31 | + assert isinstance(m, Gauge) |
| 32 | + assert m.name == "vllm:test_gauge" |
| 33 | + assert m.value == 98.5 |
| 34 | + assert m.labels["model"] == "foo" |
| 35 | + assert m.labels["engine_index"] in engine_labels |
| 36 | + engine_labels.remove(m.labels["engine_index"]) |
| 37 | + |
| 38 | + |
| 39 | +@pytest.mark.parametrize("num_engines", [1, 4]) |
| 40 | +def test_counter_metric(test_registry, num_engines): |
| 41 | + c = prometheus_client.Counter("vllm:test_counter", |
| 42 | + "Test counter metric", |
| 43 | + labelnames=["model", "engine_index"], |
| 44 | + registry=test_registry) |
| 45 | + for i in range(num_engines): |
| 46 | + c.labels(model="bar", engine_index=str(i)).inc(19) |
| 47 | + |
| 48 | + metrics = get_metrics_snapshot() |
| 49 | + assert len(metrics) == num_engines |
| 50 | + engine_labels = [str(i) for i in range(num_engines)] |
| 51 | + for m in metrics: |
| 52 | + assert isinstance(m, Counter) |
| 53 | + assert m.name == "vllm:test_counter" |
| 54 | + assert m.value == 19 |
| 55 | + assert m.labels["model"] == "bar" |
| 56 | + assert m.labels["engine_index"] in engine_labels |
| 57 | + engine_labels.remove(m.labels["engine_index"]) |
| 58 | + |
| 59 | + |
| 60 | +@pytest.mark.parametrize("num_engines", [1, 4]) |
| 61 | +def test_histogram_metric(test_registry, num_engines): |
| 62 | + h = prometheus_client.Histogram("vllm:test_histogram", |
| 63 | + "Test histogram metric", |
| 64 | + labelnames=["model", "engine_index"], |
| 65 | + buckets=[10, 20, 30, 40, 50], |
| 66 | + registry=test_registry) |
| 67 | + for i in range(num_engines): |
| 68 | + hist = h.labels(model="blaa", engine_index=str(i)) |
| 69 | + hist.observe(42) |
| 70 | + hist.observe(21) |
| 71 | + hist.observe(7) |
| 72 | + |
| 73 | + metrics = get_metrics_snapshot() |
| 74 | + assert len(metrics) == num_engines |
| 75 | + engine_labels = [str(i) for i in range(num_engines)] |
| 76 | + for m in metrics: |
| 77 | + assert isinstance(m, Histogram) |
| 78 | + assert m.name == "vllm:test_histogram" |
| 79 | + assert m.count == 3 |
| 80 | + assert m.sum == 70 |
| 81 | + assert m.buckets["10.0"] == 1 |
| 82 | + assert m.buckets["20.0"] == 1 |
| 83 | + assert m.buckets["30.0"] == 2 |
| 84 | + assert m.buckets["40.0"] == 2 |
| 85 | + assert m.buckets["50.0"] == 3 |
| 86 | + assert m.labels["model"] == "blaa" |
| 87 | + assert m.labels["engine_index"] in engine_labels |
| 88 | + engine_labels.remove(m.labels["engine_index"]) |
| 89 | + |
| 90 | + |
| 91 | +@pytest.mark.parametrize("num_engines", [1, 4]) |
| 92 | +def test_vector_metric(test_registry, num_engines): |
| 93 | + c = prometheus_client.Counter( |
| 94 | + "vllm:spec_decode_num_accepted_tokens_per_pos", |
| 95 | + "Vector-like counter metric", |
| 96 | + labelnames=["position", "model", "engine_index"], |
| 97 | + registry=test_registry) |
| 98 | + for i in range(num_engines): |
| 99 | + c.labels(position="0", model="llama", engine_index=str(i)).inc(10) |
| 100 | + c.labels(position="1", model="llama", engine_index=str(i)).inc(5) |
| 101 | + c.labels(position="2", model="llama", engine_index=str(i)).inc(1) |
| 102 | + |
| 103 | + metrics = get_metrics_snapshot() |
| 104 | + assert len(metrics) == num_engines |
| 105 | + engine_labels = [str(i) for i in range(num_engines)] |
| 106 | + for m in metrics: |
| 107 | + assert isinstance(m, Vector) |
| 108 | + assert m.name == "vllm:spec_decode_num_accepted_tokens_per_pos" |
| 109 | + assert m.values == [10, 5, 1] |
| 110 | + assert m.labels["model"] == "llama" |
| 111 | + assert m.labels["engine_index"] in engine_labels |
| 112 | + engine_labels.remove(m.labels["engine_index"]) |
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