Segment context not propagated when `asyncio.run_in_executor` is used

(Minimised) Example code:

import asyncio

from aws_xray_sdk.core import xray_recorder
from aws_xray_sdk.core import patch_all
from aws_xray_sdk.core.async_context import AsyncContext

import boto3

xray_recorder.configure(service="Test app", sampling=False, context=AsyncContext())
patch_all()


def run_task():
    s3_client = boto3.client("s3")
    s3_client.list_buckets()


async def main():
    loop = asyncio.get_running_loop()
    xray_recorder.begin_segment("test")
    await loop.run_in_executor(None, run_task)
    xray_recorder.end_segment()


asyncio.run(main())

Output:

cannot find the current segment/subsegment, please make sure you have a segment open
No segment found, cannot begin subsegment s3.
cannot find the current segment/subsegment, please make sure you have a segment open
cannot find the current segment/subsegment, please make sure you have a segment open
No segment to end
cannot find the current segment/subsegment, please make sure you have a segment open

I understand from the README that when using a thread pool (which is the default executor), the trace entity needs to be manually propagated. Could it be propagated automatically?

I'm asking because in the use case I have, a 3rd party library I'm using is making the call so I couldn't patch the call sites easily.

Comienza con las indicaciones de la README sobre la propagación de trazas en grupos de hilos y el punto de entrada AsyncContext utilizado con loop.run_in_executor. Reproduce el ejemplo minimizado y, a continuación, rastrea cómo run_task obtiene el segmento actual y verifica que el ejemplo se completa sin mensajes de segmento ausente o subsegmento ausente cuando la propagación es automática.