2017-11-13 21:21:33 +00:00
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# Server mechanics
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2022-02-10 00:00:30 +00:00
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bind = "0.0.0.0:8000"
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2017-11-13 21:21:33 +00:00
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backlog = 2048
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daemon = False
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pidfile = None
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umask = 0
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user = None
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group = None
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tmp_upload_dir = None
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proc_name = None
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# Logging
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2022-02-10 00:00:30 +00:00
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errorlog = "-"
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loglevel = "info"
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accesslog = "-"
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2017-11-13 21:21:33 +00:00
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access_log_format = '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s"'
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#
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# Worker processes
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#
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# workers - The number of worker processes that this server
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# should keep alive for handling requests.
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#
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# A positive integer generally in the 2-4 x $(NUM_CORES)
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# range. You'll want to vary this a bit to find the best
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# for your particular application's work load.
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#
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# worker_class - The type of workers to use. The default
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# sync class should handle most 'normal' types of work
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# loads. You'll want to read
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# http://docs.gunicorn.org/en/latest/design.html#choosing-a-worker-type
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# for information on when you might want to choose one
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# of the other worker classes.
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#
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# An string referring to a 'gunicorn.workers' entry point
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# or a python path to a subclass of
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# gunicorn.workers.base.Worker. The default provided values
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# are:
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#
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# egg:gunicorn#sync
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# egg:gunicorn#eventlet - Requires eventlet >= 0.9.7
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# egg:gunicorn#gevent - Requires gevent >= 0.12.2 (?)
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# egg:gunicorn#tornado - Requires tornado >= 0.2
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#
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# worker_connections - For the eventlet and gevent worker classes
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# this limits the maximum number of simultaneous clients that
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# a single process can handle.
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#
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# A positive integer generally set to around 1000.
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#
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# timeout - If a worker does not notify the master process in this
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# number of seconds it is killed and a new worker is spawned
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# to replace it.
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#
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# Generally set to thirty seconds. Only set this noticeably
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# higher if you're sure of the repercussions for sync workers.
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# For the non sync workers it just means that the worker
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# process is still communicating and is not tied to the length
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# of time required to handle a single request.
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#
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# keepalive - The number of seconds to wait for the next request
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# on a Keep-Alive HTTP connection.
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#
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# A positive integer. Generally set in the 1-5 seconds range.
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#
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workers = 1
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2022-02-10 00:00:30 +00:00
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worker_class = "sync"
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2017-11-13 21:21:33 +00:00
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worker_connections = 1000
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timeout = 30
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keepalive = 2
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spew = False
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#
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# Server hooks
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#
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# post_fork - Called just after a worker has been forked.
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#
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# A callable that takes a server and worker instance
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# as arguments.
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#
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# pre_fork - Called just prior to forking the worker subprocess.
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#
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# A callable that accepts the same arguments as after_fork
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#
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# pre_exec - Called just prior to forking off a secondary
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# master process during things like config reloading.
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#
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# A callable that takes a server instance as the sole argument.
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#
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def post_fork(server, worker):
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server.log.info("Worker spawned (pid: %s)", worker.pid)
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def pre_fork(server, worker):
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pass
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def pre_exec(server):
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server.log.info("Forked child, re-executing.")
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def when_ready(server):
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server.log.info("Server is ready. Spawning workers")
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def worker_int(worker):
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worker.log.info("worker received INT or QUIT signal")
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# get traceback info
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import threading, sys, traceback
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2022-02-10 00:00:30 +00:00
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2017-11-13 21:21:33 +00:00
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id2name = dict([(th.ident, th.name) for th in threading.enumerate()])
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code = []
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for threadId, stack in sys._current_frames().items():
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2022-02-10 00:00:30 +00:00
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code.append("\n# Thread: %s(%d)" % (id2name.get(threadId, ""), threadId))
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2017-11-13 21:21:33 +00:00
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for filename, lineno, name, line in traceback.extract_stack(stack):
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2022-02-10 00:00:30 +00:00
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code.append('File: "%s", line %d, in %s' % (filename, lineno, name))
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2017-11-13 21:21:33 +00:00
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if line:
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code.append(" %s" % (line.strip()))
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worker.log.debug("\n".join(code))
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def worker_abort(worker):
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worker.log.info("worker received SIGABRT signal")
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