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authentik/lifecycle/gunicorn.conf.py

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"""Gunicorn config"""
import warnings
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from multiprocessing import cpu_count
from pathlib import Path
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import structlog
bind = "0.0.0.0:8000"
user = "passbook"
group = "passbook"
worker_class = "uvicorn.workers.UvicornWorker"
# Docker containers don't have /tmp as tmpfs
worker_tmp_dir = "/dev/shm"
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logconfig_dict = {
"version": 1,
"disable_existing_loggers": False,
"formatters": {
"json_formatter": {
"()": structlog.stdlib.ProcessorFormatter,
"processor": structlog.processors.JSONRenderer(),
"foreign_pre_chain": [
structlog.stdlib.add_log_level,
structlog.stdlib.add_logger_name,
structlog.processors.TimeStamper(),
structlog.processors.StackInfoRenderer(),
structlog.processors.format_exc_info,
],
}
},
"handlers": {
"error_console": {
"class": "logging.StreamHandler",
"formatter": "json_formatter",
},
"console": {"class": "logging.StreamHandler", "formatter": "json_formatter"},
},
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"loggers": {
"uvicorn": {"handlers": ["console"], "level": "WARNING", "propagate": False},
"gunicorn": {"handlers": ["console"], "level": "INFO", "propagate": False},
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},
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}
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# if we're running in kubernetes, use fixed workers because we can scale with more pods
# otherwise (assume docker-compose), use as much as we can
if Path("/var/run/secrets/kubernetes.io").exists():
workers = 2
else:
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worker = cpu_count() * 2 + 1
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threads = 4
warnings.simplefilter("once")