mirror of
https://github.com/meta-llama/llama-stack.git
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consolidate telemetry to meta reference inline
This commit is contained in:
Dinesh Yeduguru
parent
cb49d21a49
commit
5d0c502cdb
21 changed files with 667 additions and 722 deletions
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@ -1,281 +0,0 @@
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import threading
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from typing import List
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from opentelemetry import metrics, trace
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from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter
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from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
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from opentelemetry.sdk.metrics import MeterProvider
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from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
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from opentelemetry.sdk.resources import Resource
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from opentelemetry.sdk.trace import TracerProvider
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from opentelemetry.sdk.trace.export import BatchSpanProcessor
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from opentelemetry.semconv.resource import ResourceAttributes
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from llama_stack.distribution.datatypes import Api
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from llama_stack.providers.remote.telemetry.opentelemetry.postgres_processor import (
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PostgresSpanProcessor,
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)
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from llama_stack.providers.utils.telemetry.jaeger import JaegerTraceStore
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from llama_stack.providers.utils.telemetry.postgres import PostgresTraceStore
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from llama_stack.apis.telemetry import * # noqa: F403
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from .config import OpenTelemetryConfig
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_GLOBAL_STORAGE = {
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"active_spans": {},
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"counters": {},
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"gauges": {},
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"up_down_counters": {},
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}
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_global_lock = threading.Lock()
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def string_to_trace_id(s: str) -> int:
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# Convert the string to bytes and then to an integer
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return int.from_bytes(s.encode(), byteorder="big", signed=False)
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def string_to_span_id(s: str) -> int:
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# Use only the first 8 bytes (64 bits) for span ID
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return int.from_bytes(s.encode()[:8], byteorder="big", signed=False)
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def is_tracing_enabled(tracer):
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with tracer.start_as_current_span("check_tracing") as span:
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return span.is_recording()
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class OpenTelemetryAdapter(Telemetry):
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def __init__(self, config: OpenTelemetryConfig, deps) -> None:
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self.config = config
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self.datasetio = deps[Api.datasetio]
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if config.trace_store == "jaeger":
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self.trace_store = JaegerTraceStore(
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config.jaeger_query_endpoint, config.service_name
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)
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elif config.trace_store == "postgres":
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self.trace_store = PostgresTraceStore(config.postgres_conn_string)
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else:
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raise ValueError(f"Invalid trace store: {config.trace_store}")
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resource = Resource.create(
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{
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ResourceAttributes.SERVICE_NAME: self.config.service_name,
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}
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)
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provider = TracerProvider(resource=resource)
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trace.set_tracer_provider(provider)
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otlp_exporter = OTLPSpanExporter(
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endpoint=self.config.otel_endpoint,
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)
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span_processor = BatchSpanProcessor(otlp_exporter)
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trace.get_tracer_provider().add_span_processor(span_processor)
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trace.get_tracer_provider().add_span_processor(
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PostgresSpanProcessor(self.config.postgres_conn_string)
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)
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# Set up metrics
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metric_reader = PeriodicExportingMetricReader(
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OTLPMetricExporter(
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endpoint=self.config.otel_endpoint,
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)
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)
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metric_provider = MeterProvider(
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resource=resource, metric_readers=[metric_reader]
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)
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metrics.set_meter_provider(metric_provider)
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self.meter = metrics.get_meter(__name__)
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self._lock = _global_lock
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async def initialize(self) -> None:
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pass
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async def shutdown(self) -> None:
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trace.get_tracer_provider().force_flush()
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trace.get_tracer_provider().shutdown()
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metrics.get_meter_provider().shutdown()
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async def log_event(self, event: Event) -> None:
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if isinstance(event, UnstructuredLogEvent):
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self._log_unstructured(event)
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elif isinstance(event, MetricEvent):
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self._log_metric(event)
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elif isinstance(event, StructuredLogEvent):
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self._log_structured(event)
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def _log_unstructured(self, event: UnstructuredLogEvent) -> None:
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with self._lock:
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# Use global storage instead of instance storage
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span_id = string_to_span_id(event.span_id)
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span = _GLOBAL_STORAGE["active_spans"].get(span_id)
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if span:
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timestamp_ns = int(event.timestamp.timestamp() * 1e9)
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span.add_event(
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name=event.type,
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attributes={
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"message": event.message,
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"severity": event.severity.value,
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**event.attributes,
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},
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timestamp=timestamp_ns,
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)
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else:
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print(
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f"Warning: No active span found for span_id {span_id}. Dropping event: {event}"
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)
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def _get_or_create_counter(self, name: str, unit: str) -> metrics.Counter:
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if name not in _GLOBAL_STORAGE["counters"]:
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_GLOBAL_STORAGE["counters"][name] = self.meter.create_counter(
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name=name,
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unit=unit,
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description=f"Counter for {name}",
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)
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return _GLOBAL_STORAGE["counters"][name]
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def _get_or_create_gauge(self, name: str, unit: str) -> metrics.ObservableGauge:
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if name not in _GLOBAL_STORAGE["gauges"]:
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_GLOBAL_STORAGE["gauges"][name] = self.meter.create_gauge(
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name=name,
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unit=unit,
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description=f"Gauge for {name}",
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)
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return _GLOBAL_STORAGE["gauges"][name]
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def _log_metric(self, event: MetricEvent) -> None:
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if isinstance(event.value, int):
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counter = self._get_or_create_counter(event.metric, event.unit)
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counter.add(event.value, attributes=event.attributes)
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elif isinstance(event.value, float):
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up_down_counter = self._get_or_create_up_down_counter(
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event.metric, event.unit
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)
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up_down_counter.add(event.value, attributes=event.attributes)
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def _get_or_create_up_down_counter(
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self, name: str, unit: str
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) -> metrics.UpDownCounter:
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if name not in _GLOBAL_STORAGE["up_down_counters"]:
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_GLOBAL_STORAGE["up_down_counters"][name] = (
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self.meter.create_up_down_counter(
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name=name,
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unit=unit,
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description=f"UpDownCounter for {name}",
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)
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)
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return _GLOBAL_STORAGE["up_down_counters"][name]
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def _log_structured(self, event: StructuredLogEvent) -> None:
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with self._lock:
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span_id = string_to_span_id(event.span_id)
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trace_id = string_to_trace_id(event.trace_id)
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tracer = trace.get_tracer(__name__)
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if isinstance(event.payload, SpanStartPayload):
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# Check if span already exists to prevent duplicates
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if span_id in _GLOBAL_STORAGE["active_spans"]:
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return
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parent_span = None
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if event.payload.parent_span_id:
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parent_span_id = string_to_span_id(event.payload.parent_span_id)
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parent_span = _GLOBAL_STORAGE["active_spans"].get(parent_span_id)
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context = trace.Context(trace_id=trace_id)
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if parent_span:
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context = trace.set_span_in_context(parent_span, context)
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span = tracer.start_span(
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name=event.payload.name,
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context=context,
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attributes=event.attributes or {},
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)
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_GLOBAL_STORAGE["active_spans"][span_id] = span
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elif isinstance(event.payload, SpanEndPayload):
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span = _GLOBAL_STORAGE["active_spans"].get(span_id)
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if span:
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if event.attributes:
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span.set_attributes(event.attributes)
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status = (
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trace.Status(status_code=trace.StatusCode.OK)
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if event.payload.status == SpanStatus.OK
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else trace.Status(status_code=trace.StatusCode.ERROR)
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)
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span.set_status(status)
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span.end()
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_GLOBAL_STORAGE["active_spans"].pop(span_id, None)
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async def get_trace(self, trace_id: str) -> TraceTree:
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return await self.trace_store.get_trace(trace_id)
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async def get_agent_trace(
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self,
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session_ids: List[str],
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) -> List[EvalTrace]:
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traces = []
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for session_id in session_ids:
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traces_for_session = await self.trace_store.get_traces_for_sessions(
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[session_id]
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)
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for session_trace in traces_for_session:
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trace_details = await self._get_simplified_agent_trace(
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session_trace.trace_id, session_id
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)
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traces.extend(trace_details)
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return traces
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async def export_agent_trace(self, session_ids: List[str], dataset_id: str) -> None:
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traces = await self.get_agent_trace(session_ids)
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traces_dict = [
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{
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"step": trace.step,
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"input": trace.input,
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"output": trace.output,
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"session_id": trace.session_id,
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}
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for trace in traces
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]
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await self.datasetio.upload_rows(dataset_id, traces_dict)
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async def _get_simplified_agent_trace(
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self, trace_id: str, session_id: str
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) -> List[EvalTrace]:
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trace_tree = await self.get_trace(trace_id)
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if not trace_tree or not trace_tree.root:
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return []
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def find_execute_turn_children(node: SpanNode) -> List[EvalTrace]:
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results = []
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if node.span.name == "create_and_execute_turn":
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# Sort children by start time
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sorted_children = sorted(node.children, key=lambda x: x.span.start_time)
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for child in sorted_children:
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results.append(
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EvalTrace(
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step=child.span.name,
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input=str(child.span.attributes.get("input", "")),
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output=str(child.span.attributes.get("output", "")),
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session_id=session_id,
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expected_output="",
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)
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)
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# Recursively process children
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for child in node.children:
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results.extend(find_execute_turn_children(child))
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return results
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return find_execute_turn_children(trace_tree.root)
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