llama-stack-mirror/tests/integration/telemetry/collectors/in_memory.py

112 lines
4.2 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.
"""In-memory telemetry collector for library-client tests."""
from typing import Any
import opentelemetry.metrics as otel_metrics
import opentelemetry.trace as otel_trace
from opentelemetry import metrics, trace
from opentelemetry.sdk.metrics import MeterProvider
from opentelemetry.sdk.metrics.export import InMemoryMetricReader
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
import llama_stack.core.telemetry.telemetry as telemetry_module
from .base import BaseTelemetryCollector, SpanStub
class InMemoryTelemetryCollector(BaseTelemetryCollector):
"""In-memory telemetry collector for library-client tests.
Converts OpenTelemetry span objects to SpanStub objects to ensure
consistent interface with OTLP collector used in server mode.
"""
def __init__(self, span_exporter: InMemorySpanExporter, metric_reader: InMemoryMetricReader) -> None:
self._span_exporter = span_exporter
self._metric_reader = metric_reader
def _snapshot_spans(self) -> tuple[SpanStub, ...]:
spans = []
for span in self._span_exporter.get_finished_spans():
# Extract trace_id and span_id
trace_id = None
span_id = None
context = getattr(span, "context", None)
if context:
trace_id = f"{context.trace_id:032x}"
span_id = f"{context.span_id:016x}"
else:
trace_id = getattr(span, "trace_id", None)
span_id = getattr(span, "span_id", None)
# Convert attributes to dict if needed
attrs = span.attributes
if attrs is not None and hasattr(attrs, "items"):
attrs = dict(attrs.items())
elif attrs is not None and not isinstance(attrs, dict):
attrs = dict(attrs)
elif attrs is None:
attrs = {}
spans.append(
SpanStub(
name=span.name,
attributes=attrs,
trace_id=trace_id,
span_id=span_id,
)
)
return tuple(spans)
def _snapshot_metrics(self) -> Any | None:
data = self._metric_reader.get_metrics_data()
if not data or not data.resource_metrics:
return None
all_metrics = []
for resource_metric in data.resource_metrics:
if resource_metric.scope_metrics:
for scope_metric in resource_metric.scope_metrics:
all_metrics.extend(scope_metric.metrics)
return all_metrics if all_metrics else None
def _clear_impl(self) -> None:
self._span_exporter.clear()
self._metric_reader.get_metrics_data()
class InMemoryTelemetryManager:
def __init__(self) -> None:
if hasattr(otel_trace, "_TRACER_PROVIDER_SET_ONCE"):
otel_trace._TRACER_PROVIDER_SET_ONCE._done = False # type: ignore[attr-defined]
if hasattr(otel_metrics, "_METER_PROVIDER_SET_ONCE"):
otel_metrics._METER_PROVIDER_SET_ONCE._done = False # type: ignore[attr-defined]
span_exporter = InMemorySpanExporter()
tracer_provider = TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter))
trace.set_tracer_provider(tracer_provider)
metric_reader = InMemoryMetricReader()
meter_provider = MeterProvider(metric_readers=[metric_reader])
metrics.set_meter_provider(meter_provider)
telemetry_module._TRACER_PROVIDER = tracer_provider
self.collector = InMemoryTelemetryCollector(span_exporter, metric_reader)
self._tracer_provider = tracer_provider
self._meter_provider = meter_provider
def shutdown(self) -> None:
telemetry_module._TRACER_PROVIDER = None
self._tracer_provider.shutdown()
self._meter_provider.shutdown()