gunicorn

Supervisor ( http://supervisord.org ) 是一个用 Python 写的进程管理工具，可以很方便的用来启动、重启、关闭进程（不仅仅是 Python 进程）。除了对单个进程的控制，还可以同时启动、关闭多个进程，比如很不幸的服务器出问题导致所有应用程序都被杀死，此时可以用 supervisor 同时启动所有应用程序而不是一个一个地敲命令启动。 安装 Supervisor 可以运行在 Linux、Mac OS X 上。如前所述，supervisor 是 Python 编写的，所以安装起来也很方便，可以直接用 pip : sudo pip install supervisor 如果是 Debian / Ubuntu可以直接通过apt安装： # apt-get install supervisor supervisord 配置 Supervisor 相当强大，提供了很丰富的功能，不过我们可能只需要用到其中一小部分。安装完成之后，可以编写配置文件，来满足自己的需求。为了方便，我们把配置分成两部分：supervisord（supervisor 是一个 C/S 模型的程序，这是 server 端，对应的有 client 端：supervisorctl）和应用程序（即我们要管理的程序）。 首先来看 supervisord 的配置文件。安装完 supervisor 之后

I'm working through the Heroku's Django tutorial and I got all the way down to ' Using a different WSIG server '. When I try to use gunicorn I get the following error: requirements.txt Django==1.4.1 distribute==0.6.28 dj-database-url==0.2.1 psycopg2==2.4.5 gunicorn==0.14.6 Procfile web: gunicorn djtut.wsgi -b 0.0.0.0:$PORT (venv) C:\Users\xxxx\Documents\Python\djtut>foreman check valid procfile detected (web) (venv) C:\Users\xxxx\Documents\Python\djtut>foreman start 10:53:05 web.1 | started with pid 5652 10:53:06 web.1 | exited with code 1 10:53:06 web.1 | Traceback (most recent call last): 10

Here's the scenario. I have a Django app being served by Gunicorn on Linux. On certain requests it makes an https call to an external API via httplib2.request() . Sometimes that call fails in such a way that hoses OpenSSL (not sure how, but it's not my fault and doesn't really matter). OpenSSL sends a SIGABRT signal to gunicorn in this case. Gunicorn handles the SIGABRT and promptly system exits (as it should). The root issue as I see it is that OpenSSL asynchronously signals the parent process to abort, rather than returning an error code. Don't tell me to abort because of YOUR personal

I find that when I use docker-compose to shut down my gunicorn (19.7.1) python application, it always takes 10s to shut down. This is the default maximum time docker-compose waits before forcefully killing the process (adjusted with the -t / --timeout parameter). I assume this means that gunicorn isn't being gracefully shut down. I can reproduce this with: docker-compose.yml: version: "3" services: test: build: ./ ports: - 8000:8000 Dockerfile: FROM python RUN pip install gunicorn COPY test.py . EXPOSE 8000 CMD gunicorn -b :8000 test:app test.py def app(_, start_response): """Simplest possible

I'm working in a Django project deployment. I'm working in a CentOS 7 server provided ma EC2 (AWS). I have tried to fix this bug by many ways but I cant understand what am I missing. I'm using ningx and gunicorn to deploy my project. I have created my /etc/systemd/system/myproject.service file with the following content: [Unit] Description=gunicorn daemon After=network.target [Service] User=centos Group=nginx WorkingDirectory=/home/centos/myproject_app ExecStart=/home/centos/myproject_app/django_env/bin/gunicorn --workers 3 --bind unix:/home/centos/myproject_app/django.sock app.wsgi

I'm trying to deploy a Django application on Google App Engine in the Standard Python37 Environment. I've had a version of it running fine in the Flexible environment, but I'm creating a staging version that I want to run in the Standard env. When I deploy and visit the app I get a 500 error. Looking in the logs I can see some messages about exceptions in worker processes. I get the error: ModuleNotFoundError: No module named 'main' This is the stack trace from the error: Traceback (most recent call last): File "/env/lib/python3.7/site-packages/gunicorn/arbiter.py", line 583, in spawn_worker

I have 2 files that depend on each other when docker is start up. 1 is a flask file and one is a file with a few functions. When docker starts, only the functions file will be executed but it imports flask variables from the flask file. Example: Flaskfile import flask from flask import Flask, request import json _flask = Flask(__name__) @_flask.route('/', methods = ['POST']) def flask_main(): s = str(request.form['abc']) ind = global_fn_main(param1,param2,param3) return ind def run(fn_main): global global_fn_main global_fn_main = fn_main _flask.run(debug = False, port = 8080, host = '0.0.0.0',