File size: 1,676 Bytes
358dd8b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | import os
import re
from enum import Enum
from pathlib import Path
from typing import cast
from pydantic import field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
class Environment(str, Enum):
dev = "dev"
prod = "prod"
BASE_DIR = Path(__file__).resolve().parent.parent # Repository root directory
class Settings(BaseSettings):
host: str = "0.0.0.0"
port: int = 8000
log_level: str = "INFO"
api_key: str | None = None
environment: Environment = Environment.dev
lean_version: str = "v4.15.0"
repl_path: Path = BASE_DIR / "repl/.lake/build/bin/repl"
project_dir: Path = BASE_DIR / "mathlib4"
max_repls: int = max((os.cpu_count() or 1) - 1, 1)
max_repl_uses: int = -1
max_repl_mem: int = 8
max_wait: int = 60
init_repls: dict[str, int] = {}
database_url: str | None = None
model_config = SettingsConfigDict(
env_file=".env", env_file_encoding="utf-8", env_prefix="LEAN_SERVER_"
)
@field_validator("max_repl_mem", mode="before")
def _parse_max_mem(cls, v: str) -> int:
if isinstance(v, int):
return cast(int, v * 1024)
m = re.fullmatch(r"(\d+)([MmGg])", v)
if m:
n, unit = m.groups()
n = int(n)
return n if unit.lower() == "m" else n * 1024
raise ValueError("max_repl_mem must be an int or '<number>[M|G]'")
@field_validator("max_repls", mode="before")
@classmethod
def _parse_max_repls(cls, v: int | str) -> int:
if isinstance(v, str) and v.strip() == "":
return os.cpu_count() or 1
return cast(int, v)
settings = Settings()
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