63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
"""Gunicorn config"""
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import os
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import pwd
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from multiprocessing import cpu_count
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import structlog
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from kubernetes.config.incluster_config import SERVICE_HOST_ENV_NAME
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bind = "127.0.0.1:8000"
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reload = True
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try:
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pwd.getpwnam("authentik")
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user = "authentik"
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group = "authentik"
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except KeyError:
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pass
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worker_class = "lifecycle.worker.DjangoUvicornWorker"
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# Docker containers don't have /tmp as tmpfs
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if os.path.exists("/dev/shm"): # nosec
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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 = {
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"version": 1,
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"disable_existing_loggers": False,
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"formatters": {
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"json_formatter": {
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"()": structlog.stdlib.ProcessorFormatter,
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"processor": structlog.processors.JSONRenderer(),
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"foreign_pre_chain": [
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structlog.stdlib.add_log_level,
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structlog.stdlib.add_logger_name,
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structlog.processors.TimeStamper(),
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structlog.processors.StackInfoRenderer(),
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],
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}
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},
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"handlers": {
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"error_console": {
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"class": "logging.StreamHandler",
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"formatter": "json_formatter",
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},
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"console": {"class": "logging.StreamHandler", "formatter": "json_formatter"},
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},
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"loggers": {
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"uvicorn": {"handlers": ["console"], "level": "WARNING", "propagate": False},
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"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
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# otherwise (assume docker-compose), use as much as we can
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if SERVICE_HOST_ENV_NAME in os.environ:
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default_workers = 2
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else:
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default_workers = max(cpu_count() * 0.25, 1) + 1 # Minimum of 2 workers
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workers = int(os.environ.get("WORKERS", default_workers))
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threads = int(os.environ.get("THREADS", 4))
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