Riya Sinha
02/16/2025, 10:34 PMTraceback (most recent call last):
File "packages/prefect/task_engine.py", line 1327, in run_context
yield self
File "packages/prefect/task_engine.py", line 1404, in run_task_async
await engine.call_task_fn(txn)
File "packages/prefect/task_engine.py", line 1347, in call_task_fn
async with aconcurrency(list(self.task_run.tags), self.task_run.id):
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/users/riyasinh/.local/share/uv/python/cpython-3.13.1-linux-x86_64-gnu/lib/python3.13/contextlib.py", line 235, in __aexit__
await self.gen.athrow(value)
File "packages/prefect/concurrency/v1/asyncio.py", line 83, in concurrency
await release_slots
File "packages/prefect/utilities/asyncutils.py", line 343, in ctx_call
result = await async_fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "packages/prefect/concurrency/v1/_asyncio.py", line 48, in release_concurrency_slots
async with get_client() as client:
~~~~~~~~~~^^
File "packages/prefect/client/orchestration/__init__.py", line 1436, in __aenter__
raise RuntimeError(
...<2 lines>...
)
RuntimeError: The client cannot be started again after closing. Retrieve a new client with `get_client()` instead.
Marvin
02/16/2025, 10:34 PMRuntimeError: The client cannot be started again after closing. Retrieve a new client with get_client() instead
, indicates that the client instance is being reused after it has been closed. This is a common issue when using asynchronous context managers in Prefect.
To resolve this, ensure that you're retrieving a new client each time you need one by calling get_client()
again. Here's a basic example of how you might structure your code to avoid this error:
python
from prefect.client.orchestration import get_client
async def some_async_function():
async with get_client() as client:
# Perform operations with the client here
pass
You should ensure that you are not trying to reuse the client
object outside of the async with
block. Each time you need to perform operations with the client, fetch a new one using get_client()
.
For more detailed guidance on concurrency management and client usage, you might find this Prefect concurrency documentation helpful. It discusses using concurrency and rate limits, which might be related to your issue if you're managing multiple tasks or flows concurrently.