52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
"""Gunicorn config"""
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from multiprocessing import cpu_count
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from pathlib import Path
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import structlog
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bind = "0.0.0.0:8000"
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user = "passbook"
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group = "passbook"
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worker_class = "uvicorn.workers.UvicornWorker"
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# Docker containers don't have /tmp as tmpfs
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worker_tmp_dir = "/dev/shm"
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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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structlog.processors.format_exc_info,
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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 Path("/var/run/secrets/kubernetes.io").exists():
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workers = 2
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else:
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worker = cpu_count() * 2 + 1
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threads = 4
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