gunicorn

问题 I am trying to run Gunicorn from Supervisor in an Ubuntu 12.04 system. Gunicorn runs a Flask app (simple REST web service tested with Flask's embedded server). I have installed Gunicorn by clonning GIT repo, trying to avoid 'apt-get install' because it runs Gunicorn server when installs it. I do not want it running, it will be run by Supervisor only. So after install it, if I try: cd /usr/local/bin gunicorn my_app:app -c /path/to/gu_config_file Gunicorn works. Then I kill it. Note config file

问题 I am using Ubuntu 18 servers and using nginx with gunicorn I follow Digitalocean tutorial for server setup. I successfully did for one project but now I need to run multiple projects under by server. Here is my gunicorn setup command: sudo nano /etc/systemd/system/gunicorn.service file: [Unit] Description=gunicorn daemon Requires=gunicorn.socket After=network.target [Service] User=rfr Group=www-data WorkingDirectory=/home/rfr/helpdesk/helpdesk ExecStart=/home/rfr/helpdesk/env/bin/gunicorn \ -

问题 I've been doing some testing of https connection pooling from cloudant python requests as part of gunicorn request handling: # -*- coding: utf-8 - from requests.adapters import HTTPAdapter import cloudant import logging import json # log when new connections are started by urllib3 logging.basicConfig() requests_log = logging.getLogger("requests.packages.urllib3") requests_log.setLevel(logging.DEBUG) requests_log.propagate = True def app(environ, start_response): httpAdapter = HTTPAdapter(pool

问题 I'm creating a simple flaskapp which I'm going to deploy on heroku, first time deploying a python app on heroku, with that said i'm new to gunicorn. Addtitional notes: Using a virtual environment. Version of flask Flask==0.10.1 gunicorn==19.3.0 Using 'python run.py' works Using 'foreman start' I get the following error 16:35:44 web.1 | started with pid 4047 16:35:44 web.1 | [2015-03-30 16:35:44 +0000] [4047] [INFO] Starting gunicorn 19.3.0 16:35:44 web.1 | [2015-03-30 16:35:44 +0000] [4047]

问题 Hi I am trying to integrate my django 1.4.1 app with Gunicorn 0.14.6. I start gunicorn server from command line like so - gunicorn -c /home/code/gunicorn_config.py I get this traceback - Traceback (most recent call last): File "/usr/local/lib/python2.7/dist-packages/gunicorn/arbiter.py", line 459, in spawn_worker worker.init_process() File "/usr/local/lib/python2.7/dist-packages/gunicorn/workers/base.py", line 99, in init_process self.wsgi = self.app.wsgi() File "/usr/local/lib/python2.7/dist

问题 I'm trying to deploy a Django app with gunicorn on Heroku and I've run into a few hitches. When I began my project my Django version was 1.3 and didn't contain the standard wsgi.py module, so I added the standard wsgi module as top/wsgi.py (top being my project name, turk being my app name, topturk being the containing directory - preserved so error logs make sense below). Now when I run gunicorn top.wsgi:application -b 0.0.0.0:$PORT The server successfully starts up, 19:00:42 web.1 | started

问题 I have following problem, i'm trying to put a Django app with an gunicorn server on my VPS running Nginx. My nginx config looks like this: upstream app_name { server unix:/path/to/socket/file.sock fail_timeout=10; } server { listen 80 default_server; listen[::]:80 default_server ipv6only=on; root /webapps/; server_name my_hostname.com; location / { proxy_set_header Host $http_host; } location /appname/ { proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header Host $http

问题 I have a large read-only data structure (a graph loaded in networkx, though this shouldn't be important) that I use in my web service. The webservice is built in Flask and then served through Gunicorn. Turns out that for every gunicorn worker I spin up, that worked holds its own copy of my data-structure. Thus, my ~700mb data structure which is perfectly manageable with one worker turns into a pretty big memory hog when I have 8 of them running. Is there any way I can share this data

问题 I have a large read-only data structure (a graph loaded in networkx, though this shouldn't be important) that I use in my web service. The webservice is built in Flask and then served through Gunicorn. Turns out that for every gunicorn worker I spin up, that worked holds its own copy of my data-structure. Thus, my ~700mb data structure which is perfectly manageable with one worker turns into a pretty big memory hog when I have 8 of them running. Is there any way I can share this data

问题 Here's my code: app.py from flask_graphql import GraphQLView from app.infrastructure.graphql import schema from app.infrastructure.api_resource import app app.add_url_rule('/graphql', view_func=GraphQLView.as_view('graphql', schema=schema, graphiql=True)) if __name__ == '__main__': app.run(debug=True) api_resource.py import app.infrastructure.repository as repository from flask import request, url_for from flask_restplus import Api, Resource, fields from sqlalchemy_pagination import paginate