import os from pydantic import Field, ValidationError, field_validator from pydantic_settings import BaseSettings, SettingsConfigDict class Settings(BaseSettings): HOST: str = Field("0.0.0.0") PORT: int = Field(12332) API_KEY: str | None = Field(None) LOG_DIR: str = Field("./logs") LOG_LEVEL: str = Field("INFO") WORKSPACE: str = Field(default_factory=os.getcwd) MAX_REPLS: int = Field(os.cpu_count() or 1) MAX_CONCURRENT_REQUESTS: int = Field(os.cpu_count() or 1) REPL_MEMORY_LIMIT_GB: int | None = Field(None) HARD_ENFORCE_MEMORY_LIMIT: bool = Field(False) REPL_MEMORY_CHECK_INTERVAL: int | None = Field(None) HEALTHCHECK_CPU_USAGE_THRESHOLD: int | None = Field(None) HEALTHCHECK_MEMORY_USAGE_THRESHOLD: int | None = Field(None) model_config = SettingsConfigDict( env_file=".env", env_file_encoding="utf-8", env_prefix="LEANSERVER_" ) @field_validator("WORKSPACE", mode="before") @classmethod def validate_workspace(cls, v): if v == "": return os.getcwd() return v @field_validator("API_KEY", mode="before") @classmethod def validate_api_key(cls, v): if v == "": return None return v @field_validator("MAX_REPLS", mode="before") @classmethod def validate_max_repls(cls, v): if v == "": return os.cpu_count() or 1 return v @field_validator("MAX_CONCURRENT_REQUESTS", mode="before") @classmethod def validate_max_concurrent_requests(cls, v): if v == "": return os.cpu_count() or 1 return v @field_validator("HEALTHCHECK_CPU_USAGE_THRESHOLD", mode="before") @classmethod def validate_healthcheck_cpu_usage_threshold(cls, v): if v == "": return None return v @field_validator("HEALTHCHECK_MEMORY_USAGE_THRESHOLD", mode="before") @classmethod def validate_healthcheck_memory_usage_threshold(cls, v): if v == "": return None return v @field_validator("REPL_MEMORY_LIMIT_GB", mode="before") @classmethod def validate_repl_memory_limit_gb(cls, v): if v == "": return None return v @field_validator("REPL_MEMORY_CHECK_INTERVAL", mode="before") @classmethod def validate_repl_memory_check_interval(cls, v): if v == "": return None return v @field_validator("HARD_ENFORCE_MEMORY_LIMIT", mode="before") @classmethod def validate_hard_enforce_memory_limit(cls, v): if v == "": return False return v try: settings = Settings() except ValidationError as e: missing_vars = [ f"LEANSERVER_{str(err['loc'][0]).upper()}" for err in e.errors() if err["type"] == "missing" ] raise ValueError(f"Missing environment variables: {', '.join(missing_vars)}")