Files
video-flow/modules/limits.py

50 lines
1.1 KiB
Python

"""
Process-wide concurrency limits for Streamlit single-process deployment.
These limits reduce tail latency and avoid a single user saturating network/CPU
and impacting other concurrent sessions.
"""
from __future__ import annotations
import os
import threading
from contextlib import contextmanager
from typing import Iterator
def _env_int(name: str, default: int) -> int:
try:
return max(1, int(os.getenv(name, str(default))))
except Exception:
return default
MAX_CONCURRENT_IMAGE = _env_int("MAX_CONCURRENT_IMAGE", 6)
MAX_CONCURRENT_VIDEO = _env_int("MAX_CONCURRENT_VIDEO", 1)
_image_sem = threading.BoundedSemaphore(MAX_CONCURRENT_IMAGE)
_video_sem = threading.BoundedSemaphore(MAX_CONCURRENT_VIDEO)
@contextmanager
def acquire_image(blocking: bool = True) -> Iterator[bool]:
ok = _image_sem.acquire(blocking=blocking)
try:
yield ok
finally:
if ok:
_image_sem.release()
@contextmanager
def acquire_video(blocking: bool = True) -> Iterator[bool]:
ok = _video_sem.acquire(blocking=blocking)
try:
yield ok
finally:
if ok:
_video_sem.release()