gunicorn.py

# Server mechanics
bind = '0.0.0.0:8000'
backlog = 2048
daemon = False
pidfile = None
umask = 0
user = None
group = None
tmp_upload_dir = None
proc_name = None

# Logging
errorlog = '-'
loglevel = 'info'
accesslog = '-'
access_log_format = '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s"'

#
# Worker processes
#
#   workers - The number of worker processes that this server
#       should keep alive for handling requests.
#
#       A positive integer generally in the 2-4 x $(NUM_CORES)
#       range. You'll want to vary this a bit to find the best
#       for your particular application's work load.
#
#   worker_class - The type of workers to use. The default
#       sync class should handle most 'normal' types of work
#       loads. You'll want to read
#       http://docs.gunicorn.org/en/latest/design.html#choosing-a-worker-type
#       for information on when you might want to choose one
#       of the other worker classes.
#
#       An string referring to a 'gunicorn.workers' entry point
#       or a python path to a subclass of
#       gunicorn.workers.base.Worker. The default provided values
#       are:
#
#           egg:gunicorn#sync
#           egg:gunicorn#eventlet   - Requires eventlet >= 0.9.7
#           egg:gunicorn#gevent     - Requires gevent >= 0.12.2 (?)
#           egg:gunicorn#tornado    - Requires tornado >= 0.2
#
#   worker_connections - For the eventlet and gevent worker classes
#       this limits the maximum number of simultaneous clients that
#       a single process can handle.
#
#       A positive integer generally set to around 1000.
#
#   timeout - If a worker does not notify the master process in this
#       number of seconds it is killed and a new worker is spawned
#       to replace it.
#
#       Generally set to thirty seconds. Only set this noticeably
#       higher if you're sure of the repercussions for sync workers.
#       For the non sync workers it just means that the worker
#       process is still communicating and is not tied to the length
#       of time required to handle a single request.
#
#   keepalive - The number of seconds to wait for the next request
#       on a Keep-Alive HTTP connection.
#
#       A positive integer. Generally set in the 1-5 seconds range.
#

workers = 1
worker_class = 'sync'
worker_connections = 1000
timeout = 30
keepalive = 2

spew = False

#
# Server hooks
#
#   post_fork - Called just after a worker has been forked.
#
#       A callable that takes a server and worker instance
#       as arguments.
#
#   pre_fork - Called just prior to forking the worker subprocess.
#
#       A callable that accepts the same arguments as after_fork
#
#   pre_exec - Called just prior to forking off a secondary
#       master process during things like config reloading.
#
#       A callable that takes a server instance as the sole argument.
#

def post_fork(server, worker):
    server.log.info("Worker spawned (pid: %s)", worker.pid)

def pre_fork(server, worker):
    pass

def pre_exec(server):
    server.log.info("Forked child, re-executing.")

def when_ready(server):
    server.log.info("Server is ready. Spawning workers")

def worker_int(worker):
    worker.log.info("worker received INT or QUIT signal")

    ## get traceback info
    import threading, sys, traceback
    id2name = dict([(th.ident, th.name) for th in threading.enumerate()])
    code = []
    for threadId, stack in sys._current_frames().items():
        code.append("\n# Thread: %s(%d)" % (id2name.get(threadId,""),
                                            threadId))
        for filename, lineno, name, line in traceback.extract_stack(stack):
            code.append('File: "%s", line %d, in %s' % (filename,
                                                        lineno, name))
            if line:
                code.append("  %s" % (line.strip()))
    worker.log.debug("\n".join(code))

def worker_abort(worker):
    worker.log.info("worker received SIGABRT signal")