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feat(tracing): update jsonline tracer #810

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feat(tracing): update jsonline tracer #810

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12 changes: 3 additions & 9 deletions src/uipath/tracing/_otel_exporters.py
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Original file line number Diff line number Diff line change
Expand Up @@ -355,16 +355,10 @@ def __init__(self, file_path: str):

def export(self, spans: Sequence[ReadableSpan]) -> SpanExportResult:
try:
uipath_spans = [
_SpanUtils.otel_span_to_uipath_span(
span, serialize_attributes=True
).to_dict(serialize_attributes=True)
for span in spans
]

with open(self.file_path, "a") as f:
for span in uipath_spans:
f.write(json.dumps(span) + "\n")
for span in spans:
span_dict = _SpanUtils.readable_span_to_dict(span)
f.write(json.dumps(span_dict) + "\n")
return SpanExportResult.SUCCESS
except Exception as e:
logger.error(f"Failed to export spans to {self.file_path}: {e}")
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50 changes: 50 additions & 0 deletions src/uipath/tracing/_utils.py
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Expand Up @@ -383,6 +383,56 @@ def _has_ancestor_with_name(

return False

@staticmethod
def readable_span_to_dict(span: ReadableSpan) -> Dict[str, Any]:
"""Convert a ReadableSpan to a dictionary for direct serialization.

This method preserves the raw OpenTelemetry span structure without
UiPath-specific transformations.

Args:
span: The OpenTelemetry ReadableSpan to convert

Returns:
A dictionary representation of the span
"""
return {
"name": span.name,
"context": {
"trace_id": format(span.context.trace_id, "032x"),
"span_id": format(span.context.span_id, "016x"),
"trace_state": dict(span.context.trace_state) if span.context.trace_state else {},
},
"kind": str(span.kind),
"parent_id": format(span.parent.span_id, "016x") if span.parent else None,
"start_time": span.start_time,
"end_time": span.end_time,
"status": {
"status_code": str(span.status.status_code),
"description": span.status.description,
},
"attributes": dict(span.attributes) if span.attributes else {},
"events": [
{
"name": event.name,
"timestamp": event.timestamp,
"attributes": dict(event.attributes) if event.attributes else {},
}
for event in span.events
],
"links": [
{
"context": {
"trace_id": format(link.context.trace_id, "032x"),
"span_id": format(link.context.span_id, "016x"),
},
"attributes": dict(link.attributes) if link.attributes else {},
}
for link in span.links
],
"resource": dict(span.resource.attributes) if span.resource else {},
}

@staticmethod
def spans_to_llm_context(spans: list[ReadableSpan]) -> str:
"""Convert spans to a formatted conversation history string suitable for LLM context.
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