41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
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"""
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Gunicorn configuration.
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Sized for a container: worker count follows the CPU quota, requests are
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recycled to bound memory growth, and access logs are emitted as JSON so they
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land in Elasticsearch in the same shape as the application logs.
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"""
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import multiprocessing
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import os
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bind = os.getenv("GUNICORN_BIND", "0.0.0.0:8000")
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workers = int(os.getenv("GUNICORN_WORKERS", str(min(multiprocessing.cpu_count() * 2 + 1, 8))))
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threads = int(os.getenv("GUNICORN_THREADS", "2"))
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worker_class = "gthread"
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timeout = int(os.getenv("GUNICORN_TIMEOUT", "45"))
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graceful_timeout = 30
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keepalive = 5
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# Recycle workers to keep any slow leak from growing without bound.
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max_requests = 1000
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max_requests_jitter = 100
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preload_app = False
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forwarded_allow_ips = os.getenv("GUNICORN_FORWARDED_ALLOW_IPS", "*")
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# Refuse absurd request lines/headers early - cheap protection against a class
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# of denial-of-service probes.
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limit_request_line = 8190
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limit_request_fields = 100
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limit_request_field_size = 8190
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accesslog = "-"
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errorlog = "-"
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loglevel = os.getenv("GUNICORN_LOG_LEVEL", "info")
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access_log_format = (
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'{"level":"INFO","logger":"gunicorn.access","message":"%(r)s",'
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'"http_status":%(s)s,"duration_ms":%(D)s,"client_ip":"%(h)s",'
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'"request_id":"%({x-request-id}i)s"}'
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)
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