from functools import lru_cache
from pathlib import Path

from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict


class Settings(BaseSettings):
    model_config = SettingsConfigDict(env_file=".env", extra="ignore")

    public_model_id: str = "glm-5.2-visual-runtime"
    glm_base_url: str = "https://open.bigmodel.cn/api/paas/v4"
    glm_api_key: str | None = None
    glm_model: str = "glm-5.2"

    vision_base_url: str = "https://open.bigmodel.cn/api/paas/v4"
    vision_api_key: str | None = None
    vision_model: str = "glm-5v-turbo"

    ocr_mode: str = "maas"
    ocr_base_url: str = "http://ocr:8080"
    ocr_api_key: str | None = None
    ocr_model: str = "glm-ocr"

    database_url: str = "sqlite:///./glm_vvr.db"
    object_store_endpoint: str = "local://./data/objects"
    object_store_bucket: str = "glm-vvr"
    object_store_access_key: str | None = None
    object_store_secret_key: str | None = None

    visual_runtime_mode: str = Field(default="test", pattern="^(cloud|hybrid|local|test)$")
    visual_cache_ttl_days: int = 30
    max_image_bytes: int = 10 * 1024 * 1024
    max_image_pixels: int = 25_000_000
    reference_confidence_threshold: float = 0.72
    slides_service_url: str = "http://slides:8787"

    data_dir: Path = Path("./data")


@lru_cache
def get_settings() -> Settings:
    return Settings()