llama-stack-mirror/tests/unit/providers/telemetry/test_agent_metrics_histogram.py
skamenan7 8f0413e743 improve agent metrics integration test and cleanup fixtures
- simplified test to use telemetry.query_metrics for verification
- test now validates actual queryable metrics data
- verified by query metrics functionality added in #3074
2025-09-19 10:47:16 -04:00

244 lines
8 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from unittest.mock import Mock
import pytest
from llama_stack.apis.telemetry import MetricEvent, MetricType
from llama_stack.providers.inline.telemetry.meta_reference.config import TelemetryConfig
from llama_stack.providers.inline.telemetry.meta_reference.telemetry import TelemetryAdapter
class TestAgentMetricsHistogram:
"""Tests for agent histogram metrics"""
@pytest.fixture
def config(self):
return TelemetryConfig(service_name="test-service", sinks=[])
@pytest.fixture
def adapter(self, config):
adapter = TelemetryAdapter(config, {})
adapter.meter = Mock() # skip otel setup
return adapter
def test_histogram_creation(self, adapter):
mock_hist = Mock()
adapter.meter.create_histogram.return_value = mock_hist
from llama_stack.providers.inline.telemetry.meta_reference.telemetry import _GLOBAL_STORAGE
_GLOBAL_STORAGE["histograms"] = {}
result = adapter._get_or_create_histogram("test_histogram", "s")
assert result == mock_hist
adapter.meter.create_histogram.assert_called_once_with(
name="test_histogram",
unit="s",
description="test histogram",
)
assert _GLOBAL_STORAGE["histograms"]["test_histogram"] == mock_hist
def test_histogram_reuse(self, adapter):
mock_hist = Mock()
from llama_stack.providers.inline.telemetry.meta_reference.telemetry import _GLOBAL_STORAGE
_GLOBAL_STORAGE["histograms"] = {"existing_histogram": mock_hist}
result = adapter._get_or_create_histogram("existing_histogram", "ms")
assert result == mock_hist
adapter.meter.create_histogram.assert_not_called()
def test_workflow_duration_histogram(self, adapter):
mock_hist = Mock()
adapter.meter.create_histogram.return_value = mock_hist
from llama_stack.providers.inline.telemetry.meta_reference.telemetry import _GLOBAL_STORAGE
_GLOBAL_STORAGE["histograms"] = {}
event = MetricEvent(
trace_id="123",
span_id="456",
metric="llama_stack_agent_workflow_duration_seconds",
value=15.7,
timestamp=1234567890.0,
unit="s",
attributes={"agent_id": "test-agent"},
metric_type=MetricType.HISTOGRAM,
)
adapter._log_metric(event)
adapter.meter.create_histogram.assert_called_once_with(
name="llama_stack_agent_workflow_duration_seconds",
unit="s",
description="llama stack agent workflow duration seconds",
)
mock_hist.record.assert_called_once_with(15.7, attributes={"agent_id": "test-agent"})
def test_duration_buckets_configured_via_views(self, adapter):
mock_hist = Mock()
adapter.meter.create_histogram.return_value = mock_hist
from llama_stack.providers.inline.telemetry.meta_reference.telemetry import _GLOBAL_STORAGE
_GLOBAL_STORAGE["histograms"] = {}
event = MetricEvent(
trace_id="123",
span_id="456",
metric="custom_duration_seconds",
value=5.2,
timestamp=1234567890.0,
unit="s",
attributes={},
metric_type=MetricType.HISTOGRAM,
)
adapter._log_metric(event)
# buckets configured via otel views, not passed to create_histogram
mock_hist.record.assert_called_once_with(5.2, attributes={})
def test_non_duration_uses_counter(self, adapter):
mock_counter = Mock()
adapter.meter.create_counter.return_value = mock_counter
from llama_stack.providers.inline.telemetry.meta_reference.telemetry import _GLOBAL_STORAGE
_GLOBAL_STORAGE["counters"] = {}
event = MetricEvent(
trace_id="123",
span_id="456",
metric="llama_stack_agent_workflows_total",
value=1,
timestamp=1234567890.0,
unit="1",
attributes={"agent_id": "test-agent", "status": "completed"},
)
adapter._log_metric(event)
adapter.meter.create_counter.assert_called_once()
adapter.meter.create_histogram.assert_not_called()
mock_counter.add.assert_called_once_with(1, attributes={"agent_id": "test-agent", "status": "completed"})
def test_no_meter_doesnt_crash(self, adapter):
adapter.meter = None
event = MetricEvent(
trace_id="123",
span_id="456",
metric="test_duration_seconds",
value=1.0,
timestamp=1234567890.0,
unit="s",
attributes={},
)
adapter._log_metric(event) # shouldn't crash
def test_histogram_vs_counter_by_type(self, adapter):
mock_hist = Mock()
mock_counter = Mock()
adapter.meter.create_histogram.return_value = mock_hist
adapter.meter.create_counter.return_value = mock_counter
from llama_stack.providers.inline.telemetry.meta_reference.telemetry import _GLOBAL_STORAGE
_GLOBAL_STORAGE["histograms"] = {}
_GLOBAL_STORAGE["counters"] = {}
# histogram metric
hist_event = MetricEvent(
trace_id="123",
span_id="456",
metric="workflow_duration_seconds",
value=1.0,
timestamp=1234567890.0,
unit="s",
attributes={},
metric_type=MetricType.HISTOGRAM,
)
adapter._log_metric(hist_event)
mock_hist.record.assert_called()
# counter metric (default type)
counter_event = MetricEvent(
trace_id="123",
span_id="456",
metric="workflow_total",
value=1,
timestamp=1234567890.0,
unit="1",
attributes={},
)
adapter._log_metric(counter_event)
mock_counter.add.assert_called()
def test_storage_separation(self, adapter):
mock_hist = Mock()
mock_counter = Mock()
adapter.meter.create_histogram.return_value = mock_hist
adapter.meter.create_counter.return_value = mock_counter
from llama_stack.providers.inline.telemetry.meta_reference.telemetry import _GLOBAL_STORAGE
_GLOBAL_STORAGE["histograms"] = {}
_GLOBAL_STORAGE["counters"] = {}
# create both types
hist_event = MetricEvent(
trace_id="123",
span_id="456",
metric="test_duration_seconds",
value=1.0,
timestamp=1234567890.0,
unit="s",
attributes={},
metric_type=MetricType.HISTOGRAM,
)
counter_event = MetricEvent(
trace_id="123",
span_id="456",
metric="test_counter",
value=1,
timestamp=1234567890.0,
unit="1",
attributes={},
)
adapter._log_metric(hist_event)
adapter._log_metric(counter_event)
# check they're stored separately
assert "test_duration_seconds" in _GLOBAL_STORAGE["histograms"]
assert "test_counter" in _GLOBAL_STORAGE["counters"]
assert "test_duration_seconds" not in _GLOBAL_STORAGE["counters"]
assert "test_counter" not in _GLOBAL_STORAGE["histograms"]
def test_histogram_uses_views_for_buckets(self, adapter):
mock_hist = Mock()
adapter.meter.create_histogram.return_value = mock_hist
from llama_stack.providers.inline.telemetry.meta_reference.telemetry import _GLOBAL_STORAGE
_GLOBAL_STORAGE["histograms"] = {}
result = adapter._get_or_create_histogram("test_histogram", "s")
# buckets come from otel views, not create_histogram params
adapter.meter.create_histogram.assert_called_once_with(
name="test_histogram",
unit="s",
description="test histogram",
)
assert result == mock_hist