Spaces:
Running
Running
import multiprocessing | |
# 监听地址和端口 | |
bind = "0.0.0.0:7860" | |
# 工作进程数,这里设置为 CPU 核心数 * 2 + 1 | |
workers = min(multiprocessing.cpu_count() + 1, 3) | |
# 工作方式 | |
# 方案1: 使用 Uvicorn 的 worker (推荐) | |
worker_class = "uvicorn.workers.UvicornWorker" | |
# 方案2: 使用 Uvicorn 的 worker 并开启 HTTP/2 | |
# worker_class = "uvicorn.workers.UvicornH2Worker" | |
# 方案3: 使用传统的同步 worker (不推荐,会损失 FastAPI 的异步特性) | |
# worker_class = "sync" | |
# 超时时间 | |
timeout = 300 | |
# 并发客户端最大数量 | |
worker_connections = 1000 | |
# 进程名称前缀 | |
proc_name = 'gunicorn_fastapi' | |
# 访问日志文件 | |
accesslog = "access.log" | |
access_log_format = '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s"' | |
# 错误日志文件 | |
errorlog = "error.log" | |
# 日志级别 | |
loglevel = "info" | |