mirror of
https://github.com/immich-app/immich.git
synced 2024-12-22 01:47:08 +02:00
128 lines
3.5 KiB
Python
128 lines
3.5 KiB
Python
import concurrent.futures
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import logging
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import os
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import sys
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from pathlib import Path
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from socket import socket
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from gunicorn.arbiter import Arbiter
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from pydantic import BaseModel, BaseSettings
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from rich.console import Console
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from rich.logging import RichHandler
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from uvicorn import Server
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from uvicorn.workers import UvicornWorker
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from .schemas import ModelType
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class PreloadModelData(BaseModel):
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clip: str | None
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facial_recognition: str | None
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class Settings(BaseSettings):
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cache_folder: str = "/cache"
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model_ttl: int = 300
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model_ttl_poll_s: int = 10
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host: str = "0.0.0.0"
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port: int = 3003
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workers: int = 1
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test_full: bool = False
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request_threads: int = os.cpu_count() or 4
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model_inter_op_threads: int = 0
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model_intra_op_threads: int = 0
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ann: bool = True
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preload: PreloadModelData | None = None
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class Config:
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env_prefix = "MACHINE_LEARNING_"
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case_sensitive = False
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env_nested_delimiter = "__"
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class LogSettings(BaseSettings):
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log_level: str = "info"
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no_color: bool = False
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class Config:
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case_sensitive = False
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_clean_name = str.maketrans(":\\/", "___", ".")
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def clean_name(model_name: str) -> str:
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return model_name.split("/")[-1].translate(_clean_name)
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def get_cache_dir(model_name: str, model_type: ModelType) -> Path:
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return Path(settings.cache_folder) / model_type.value / clean_name(model_name)
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def get_hf_model_name(model_name: str) -> str:
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return f"immich-app/{clean_name(model_name)}"
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LOG_LEVELS: dict[str, int] = {
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"critical": logging.ERROR,
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"error": logging.ERROR,
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"warning": logging.WARNING,
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"warn": logging.WARNING,
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"info": logging.INFO,
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"log": logging.INFO,
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"debug": logging.DEBUG,
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"verbose": logging.DEBUG,
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}
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settings = Settings()
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log_settings = LogSettings()
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LOG_LEVEL = LOG_LEVELS.get(log_settings.log_level.lower(), logging.INFO)
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class CustomRichHandler(RichHandler):
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def __init__(self) -> None:
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console = Console(color_system="standard", no_color=log_settings.no_color)
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self.excluded = ["uvicorn", "starlette", "fastapi"]
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super().__init__(
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show_path=False,
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omit_repeated_times=False,
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console=console,
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rich_tracebacks=True,
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tracebacks_suppress=[*self.excluded, concurrent.futures],
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tracebacks_show_locals=LOG_LEVEL == logging.DEBUG,
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)
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# hack to exclude certain modules from rich tracebacks
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def emit(self, record: logging.LogRecord) -> None:
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if record.exc_info is not None:
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tb = record.exc_info[2]
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while tb is not None:
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if any(excluded in tb.tb_frame.f_code.co_filename for excluded in self.excluded):
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tb.tb_frame.f_locals["_rich_traceback_omit"] = True
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tb = tb.tb_next
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return super().emit(record)
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log = logging.getLogger("ml.log")
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log.setLevel(LOG_LEVEL)
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# patches this issue https://github.com/encode/uvicorn/discussions/1803
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class CustomUvicornServer(Server):
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async def shutdown(self, sockets: list[socket] | None = None) -> None:
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for sock in sockets or []:
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sock.close()
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await super().shutdown()
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class CustomUvicornWorker(UvicornWorker):
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async def _serve(self) -> None:
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self.config.app = self.wsgi
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server = CustomUvicornServer(config=self.config)
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self._install_sigquit_handler()
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await server.serve(sockets=self.sockets)
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if not server.started:
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sys.exit(Arbiter.WORKER_BOOT_ERROR)
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