MAX_WORKERS parameter is not used

[guillaumebu]

I was trying to set 1 as the maximum number of workers but it didn't seem to have any effect.

It seems that the latest image is a bit outdated and thus does not include the latest changes to gunicorn_conf.py file that can be found in code and documentation of uvicorn-gunicorn-docker.

Below the /gunicorn_conf.py file found in the running docker service:

import json
import multiprocessing
import os

workers_per_core_str = os.getenv("WORKERS_PER_CORE", "1")
web_concurrency_str = os.getenv("WEB_CONCURRENCY", None)
host = os.getenv("HOST", "0.0.0.0")
port = os.getenv("PORT", "80")
bind_env = os.getenv("BIND", None)
use_loglevel = os.getenv("LOG_LEVEL", "info")
if bind_env:
    use_bind = bind_env
else:
    use_bind = f"{host}:{port}"

cores = multiprocessing.cpu_count()
workers_per_core = float(workers_per_core_str)
default_web_concurrency = workers_per_core * cores
if web_concurrency_str:
    web_concurrency = int(web_concurrency_str)
    assert web_concurrency > 0
else:
    web_concurrency = max(int(default_web_concurrency), 2)

# Gunicorn config variables
loglevel = use_loglevel
workers = web_concurrency
bind = use_bind
keepalive = 120
errorlog = "-"

# For debugging and testing
log_data = {
    "loglevel": loglevel,
    "workers": workers,
    "bind": bind,
    # Additional, non-gunicorn variables
    "workers_per_core": workers_per_core,
    "host": host,
    "port": port,
}
print(json.dumps(log_data))

[Sebastián Ramírez]

Hey there! I'm sorry, I'm currently not using this Docker image, so I won't be able to fix it, update it, and maintain it. I'm sorry for that.

I just added a note about it here: https://github.com/tiangolo/uvicorn-gunicorn-machine-learning-docker#deprecation-warning-

Sorry for the long delay! 🙈 I wanted to personally address each issue/PR and they piled up through time, but now I'm checking each one in order.

[github-actions]

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