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authentik/lifecycle/gunicorn.conf.py

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"""Gunicorn config"""
import os
import pwd
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from multiprocessing import cpu_count
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import structlog
from kubernetes.config.incluster_config import SERVICE_HOST_ENV_NAME
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bind = "127.0.0.1:8000"
reload = True
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try:
pwd.getpwnam("authentik")
user = "authentik"
group = "authentik"
except KeyError:
pass
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worker_class = "uvicorn.workers.UvicornWorker"
# Docker containers don't have /tmp as tmpfs
if os.path.exists("/dev/shm"): # nosec
worker_tmp_dir = "/dev/shm" # nosec
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os.environ.setdefault("DJANGO_SETTINGS_MODULE", "authentik.root.settings")
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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(),
],
}
},
"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 SERVICE_HOST_ENV_NAME in os.environ:
default_workers = 2
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else:
default_workers = max(cpu_count() * 0.25, 1) + 1 # Minimum of 2 workers
workers = int(os.environ.get("WORKERS", default_workers))
threads = int(os.environ.get("THREADS", 4))