rkuo-danswer 2111eccf07
Feature/vespa jinja (#4558)
* tool to generate vespa schema variations for our cloud

* extraneous assign

* use a real templating system instead of search/replace

* fix float

* maybe this should be double

* remove redundant var

* template the other files

* try a spawned process

* move the wrapper

* fix args

* increase timeout

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Co-authored-by: Richard Kuo (Onyx) <rkuo@onyx.app>
Co-authored-by: Richard Kuo <rkuo@rkuo.com>
2025-04-20 22:28:55 +00:00

71 lines
1.9 KiB
Python

# import multiprocessing
# from collections.abc import Callable
# from typing import Any
# from typing import TypeVar
# T = TypeVar("T")
# def run_with_timeout_multiproc(
# task: Callable[..., T], timeout: int, kwargs: dict[str, Any]
# ) -> T:
# # Use multiprocessing to prevent a thread from blocking the main thread
# with multiprocessing.Pool(processes=1) as pool:
# async_result = pool.apply_async(task, kwds=kwargs)
# try:
# # Wait at most timeout seconds for the function to complete
# result = async_result.get(timeout=timeout)
# return result
# except multiprocessing.TimeoutError:
# raise TimeoutError(f"Function timed out after {timeout} seconds")
import multiprocessing
import traceback
from collections.abc import Callable
from multiprocessing import Queue
from typing import Any
from typing import TypeVar
T = TypeVar("T")
def _multiproc_wrapper(
task: Callable[..., T], kwargs: dict[str, Any], q: Queue
) -> None:
try:
result = task(**kwargs)
q.put(("success", result))
except Exception:
q.put(("error", traceback.format_exc()))
def run_with_timeout_multiproc(
task: Callable[..., T], timeout: int, kwargs: dict[str, Any]
) -> T:
ctx = multiprocessing.get_context("spawn")
q: Queue = ctx.Queue()
p = ctx.Process(
target=_multiproc_wrapper,
args=(
task,
kwargs,
q,
),
)
p.start()
p.join(timeout)
if p.is_alive():
p.terminate()
raise TimeoutError(f"{task.__name__} timed out after {timeout} seconds")
if not q.empty():
status, result = q.get()
if status == "success":
return result
else:
raise RuntimeError(f"{task.__name__} failed:\n{result}")
else:
raise RuntimeError(f"{task.__name__} returned no result")