Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix: remove attaching and detaching of opentelemetry contexts #1112

Merged
merged 1 commit into from
Nov 12, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@
)

from opentelemetry import context as context_api
from opentelemetry.context import _SUPPRESS_INSTRUMENTATION_KEY, attach, detach
from opentelemetry.context import _SUPPRESS_INSTRUMENTATION_KEY
from opentelemetry.trace import Span, Status, StatusCode, Tracer, set_span_in_context
from opentelemetry.util.types import AttributeValue
from pydantic import BaseModel as PydanticBaseModel
Expand Down Expand Up @@ -694,13 +694,11 @@ def _sweep(self, q: "SimpleQueue[Optional[_QueueItem]]") -> None:


class _SpanHandler(BaseSpanHandler[_Span], extra="allow"):
_context_tokens: Dict[str, object] = PrivateAttr()
_otel_tracer: Tracer = PrivateAttr()
_export_queue: _ExportQueue = PrivateAttr()

def __init__(self, tracer: Tracer) -> None:
super().__init__()
self._context_tokens: Dict[str, object] = {}
self._otel_tracer = tracer
self._export_queue = _ExportQueue()

Expand All @@ -723,8 +721,6 @@ def new_span(
attributes=dict(get_attributes_from_context()),
context=(parent.context if parent else None),
)
with self.lock:
self._context_tokens[id_] = attach(set_span_in_context(otel_span))
span = _Span(
otel_span=otel_span,
span_kind=_init_span_kind(instance),
Expand All @@ -748,9 +744,6 @@ def prepare_to_exit_span(
return None
with self.lock:
span = self.open_spans.get(id_)
token = self._context_tokens.get(id_)
if token:
detach(token)
if span:
if isinstance(instance, (BaseLLM, MultiModalLLM)) and (
isinstance(result, Generator)
Expand Down Expand Up @@ -779,9 +772,6 @@ def prepare_to_drop_span(
return None
with self.lock:
span = self.open_spans.get(id_)
token = self._context_tokens.get(id_)
if token:
detach(token)
if span:
if err and isinstance(err, WorkflowDone):
span.end()
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,6 @@

from openinference.instrumentation import using_attributes
from openinference.instrumentation.llama_index import LlamaIndexInstrumentor
from openinference.instrumentation.openai import OpenAIInstrumentor
from openinference.semconv.trace import (
DocumentAttributes,
EmbeddingAttributes,
Expand Down Expand Up @@ -154,12 +153,7 @@ def main() -> None:
for span in spans:
traces[span.context.trace_id][span.name] = span

if is_stream:
# OpenAIInstrumentor is on a separate trace because no span
# is open when the stream iteration starts.
assert len(traces) == n * 2
else:
assert len(traces) == n
assert len(traces) == n
for spans_by_name in traces.values():
spans_by_id = _spans_by_id(spans_by_name.values())
if is_stream and len(spans_by_name) == 1:
Expand Down Expand Up @@ -461,9 +455,7 @@ def instrument(
in_memory_span_exporter: InMemorySpanExporter,
) -> Generator[None, None, None]:
LlamaIndexInstrumentor().instrument(tracer_provider=tracer_provider)
OpenAIInstrumentor().instrument(tracer_provider=tracer_provider)
yield
OpenAIInstrumentor().uninstrument()
LlamaIndexInstrumentor().uninstrument()
in_memory_span_exporter.clear()

Expand Down
Loading