llama-stack-mirror/llama_stack/providers/inline/telemetry/meta_reference/telemetry.py

# 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.

import threading
from typing import Any, Dict, List, Optional

from opentelemetry import metrics, trace
from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.metrics import MeterProvider
from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.semconv.resource import ResourceAttributes

from llama_stack.apis.telemetry import (
    Event,
    MetricEvent,
    QueryCondition,
    QuerySpanTreeResponse,
    QueryTracesResponse,
    Span,
    SpanEndPayload,
    SpanStartPayload,
    SpanStatus,
    StructuredLogEvent,
    Telemetry,
    Trace,
    UnstructuredLogEvent,
)
from llama_stack.distribution.datatypes import Api
from llama_stack.providers.inline.telemetry.meta_reference.console_span_processor import (
    ConsoleSpanProcessor,
)
from llama_stack.providers.inline.telemetry.meta_reference.sqlite_span_processor import (
    SQLiteSpanProcessor,
)
from llama_stack.providers.utils.telemetry.dataset_mixin import TelemetryDatasetMixin
from llama_stack.providers.utils.telemetry.sqlite_trace_store import SQLiteTraceStore

from .config import TelemetryConfig, TelemetrySink

_GLOBAL_STORAGE: dict[str, dict[str | int, Any]] = {
    "active_spans": {},
    "counters": {},
    "gauges": {},
    "up_down_counters": {},
}
_global_lock = threading.Lock()
_TRACER_PROVIDER = None


def string_to_trace_id(s: str) -> int:
    # Convert the string to bytes and then to an integer
    return int.from_bytes(s.encode(), byteorder="big", signed=False)


def string_to_span_id(s: str) -> int:
    # Use only the first 8 bytes (64 bits) for span ID
    return int.from_bytes(s.encode()[:8], byteorder="big", signed=False)


def is_tracing_enabled(tracer):
    with tracer.start_as_current_span("check_tracing") as span:
        return span.is_recording()


class TelemetryAdapter(TelemetryDatasetMixin, Telemetry):
    def __init__(self, config: TelemetryConfig, deps: Dict[Api, Any]) -> None:
        self.config = config
        self.datasetio_api = deps.get(Api.datasetio)
        self.meter = None

        resource = Resource.create(
            {
                # service name is always the same, use zero-width space to avoid clutter
                ResourceAttributes.SERVICE_NAME: "​",
            }
        )

        global _TRACER_PROVIDER
        # Initialize the correct span processor based on the provider state.
        # This is needed since once the span processor is set, it cannot be unset.
        # Recreating the telemetry adapter multiple times will result in duplicate span processors.
        # Since the library client can be recreated multiple times in a notebook,
        # the kernel will hold on to the span processor and cause duplicate spans to be written.
        if _TRACER_PROVIDER is None:
            provider = TracerProvider(resource=resource)
            trace.set_tracer_provider(provider)
            _TRACER_PROVIDER = provider
            if TelemetrySink.OTEL_TRACE in self.config.sinks:
                span_exporter = OTLPSpanExporter(
                    endpoint=self.config.otel_trace_endpoint,
                )
                span_processor = BatchSpanProcessor(span_exporter)
                trace.get_tracer_provider().add_span_processor(span_processor)
            if TelemetrySink.OTEL_METRIC in self.config.sinks:
                metric_reader = PeriodicExportingMetricReader(
                    OTLPMetricExporter(
                        endpoint=self.config.otel_metric_endpoint,
                    )
                )
                metric_provider = MeterProvider(resource=resource, metric_readers=[metric_reader])
                metrics.set_meter_provider(metric_provider)
            if TelemetrySink.SQLITE in self.config.sinks:
                trace.get_tracer_provider().add_span_processor(SQLiteSpanProcessor(self.config.sqlite_db_path))
            if TelemetrySink.CONSOLE in self.config.sinks:
                trace.get_tracer_provider().add_span_processor(ConsoleSpanProcessor())

        if TelemetrySink.OTEL_METRIC in self.config.sinks:
            self.meter = metrics.get_meter(__name__)
        if TelemetrySink.SQLITE in self.config.sinks:
            self.trace_store = SQLiteTraceStore(self.config.sqlite_db_path)

        self._lock = _global_lock

    async def initialize(self) -> None:
        pass

    async def shutdown(self) -> None:
        trace.get_tracer_provider().force_flush()

    async def log_event(self, event: Event, ttl_seconds: int = 604800) -> None:
        if isinstance(event, UnstructuredLogEvent):
            self._log_unstructured(event, ttl_seconds)
        elif isinstance(event, MetricEvent):
            self._log_metric(event)
        elif isinstance(event, StructuredLogEvent):
            self._log_structured(event, ttl_seconds)
        else:
            raise ValueError(f"Unknown event type: {event}")

    def _log_unstructured(self, event: UnstructuredLogEvent, ttl_seconds: int) -> None:
        with self._lock:
            # Use global storage instead of instance storage
            span_id = string_to_span_id(event.span_id)
            span = _GLOBAL_STORAGE["active_spans"].get(span_id)

            if span:
                timestamp_ns = int(event.timestamp.timestamp() * 1e9)
                span.add_event(
                    name=event.type,
                    attributes={
                        "message": event.message,
                        "severity": event.severity.value,
                        "__ttl__": ttl_seconds,
                        **(event.attributes or {}),
                    },
                    timestamp=timestamp_ns,
                )
            else:
                print(f"Warning: No active span found for span_id {span_id}. Dropping event: {event}")

    def _get_or_create_counter(self, name: str, unit: str) -> metrics.Counter:
        assert self.meter is not None
        if name not in _GLOBAL_STORAGE["counters"]:
            _GLOBAL_STORAGE["counters"][name] = self.meter.create_counter(
                name=name,
                unit=unit,
                description=f"Counter for {name}",
            )
        return _GLOBAL_STORAGE["counters"][name]

    def _get_or_create_gauge(self, name: str, unit: str) -> metrics.ObservableGauge:
        assert self.meter is not None
        if name not in _GLOBAL_STORAGE["gauges"]:
            _GLOBAL_STORAGE["gauges"][name] = self.meter.create_gauge(
                name=name,
                unit=unit,
                description=f"Gauge for {name}",
            )
        return _GLOBAL_STORAGE["gauges"][name]

    def _log_metric(self, event: MetricEvent) -> None:
        if self.meter is None:
            return
        if isinstance(event.value, int):
            counter = self._get_or_create_counter(event.metric, event.unit)
            counter.add(event.value, attributes=event.attributes)
        elif isinstance(event.value, float):
            up_down_counter = self._get_or_create_up_down_counter(event.metric, event.unit)
            up_down_counter.add(event.value, attributes=event.attributes)

    def _get_or_create_up_down_counter(self, name: str, unit: str) -> metrics.UpDownCounter:
        assert self.meter is not None
        if name not in _GLOBAL_STORAGE["up_down_counters"]:
            _GLOBAL_STORAGE["up_down_counters"][name] = self.meter.create_up_down_counter(
                name=name,
                unit=unit,
                description=f"UpDownCounter for {name}",
            )
        return _GLOBAL_STORAGE["up_down_counters"][name]

    def _log_structured(self, event: StructuredLogEvent, ttl_seconds: int) -> None:
        with self._lock:
            span_id = string_to_span_id(event.span_id)
            trace_id = string_to_trace_id(event.trace_id)
            tracer = trace.get_tracer(__name__)
            if event.attributes is None:
                event.attributes = {}
            event.attributes["__ttl__"] = ttl_seconds

            if isinstance(event.payload, SpanStartPayload):
                # Check if span already exists to prevent duplicates
                if span_id in _GLOBAL_STORAGE["active_spans"]:
                    return

                parent_span = None
                if event.payload.parent_span_id:
                    parent_span_id = string_to_span_id(event.payload.parent_span_id)
                    parent_span = _GLOBAL_STORAGE["active_spans"].get(parent_span_id)

                context = trace.Context(trace_id=trace_id)
                if parent_span:
                    context = trace.set_span_in_context(parent_span, context)

                span = tracer.start_span(
                    name=event.payload.name,
                    context=context,
                    attributes=event.attributes or {},
                )
                _GLOBAL_STORAGE["active_spans"][span_id] = span

            elif isinstance(event.payload, SpanEndPayload):
                span = _GLOBAL_STORAGE["active_spans"].get(span_id)
                if span:
                    if event.attributes:
                        span.set_attributes(event.attributes)

                    status = (
                        trace.Status(status_code=trace.StatusCode.OK)
                        if event.payload.status == SpanStatus.OK
                        else trace.Status(status_code=trace.StatusCode.ERROR)
                    )
                    span.set_status(status)
                    span.end()
                    _GLOBAL_STORAGE["active_spans"].pop(span_id, None)
            else:
                raise ValueError(f"Unknown structured log event: {event}")

    async def query_traces(
        self,
        attribute_filters: Optional[List[QueryCondition]] = None,
        limit: Optional[int] = 100,
        offset: Optional[int] = 0,
        order_by: Optional[List[str]] = None,
    ) -> QueryTracesResponse:
        return QueryTracesResponse(
            data=await self.trace_store.query_traces(
                attribute_filters=attribute_filters,
                limit=limit,
                offset=offset,
                order_by=order_by,
            )
        )

    async def get_trace(self, trace_id: str) -> Trace:
        return await self.trace_store.get_trace(trace_id)

    async def get_span(self, trace_id: str, span_id: str) -> Span:
        return await self.trace_store.get_span(trace_id, span_id)

    async def get_span_tree(
        self,
        span_id: str,
        attributes_to_return: Optional[List[str]] = None,
        max_depth: Optional[int] = None,
    ) -> QuerySpanTreeResponse:
        return QuerySpanTreeResponse(
            data=await self.trace_store.get_span_tree(
                span_id=span_id,
                attributes_to_return=attributes_to_return,
                max_depth=max_depth,
            )
        )