import os
from pathlib import Path
from typing import Optional
from dataclasses import dataclass
from pydantic import BaseModel


@dataclass
class DatabaseConfig:
    url: str = "sqlite:///./data/alert_platform.db"


@dataclass
class OSSConfig:
    access_key_id: str = ""
    access_key_secret: str = ""
    endpoint: str = "oss-cn-hangzhou.aliyuncs.com"
    bucket_name: str = ""
    url_prefix: str = ""


@dataclass
class AppConfig:
    host: str = "0.0.0.0"
    port: int = 8000
    debug: bool = True


@dataclass
class AIModelConfig:
    endpoint: str = ""
    api_key: str = ""


class Settings(BaseModel):
    database: DatabaseConfig = DatabaseConfig()
    oss: OSSConfig = OSSConfig()
    app: AppConfig = AppConfig()
    ai_model: AIModelConfig = AIModelConfig()


def load_settings() -> Settings:
    from dotenv import load_dotenv
    load_dotenv()

    return Settings(
        database=DatabaseConfig(
            url=os.getenv("DATABASE_URL", "sqlite:///./data/alert_platform.db"),
        ),
        oss=OSSConfig(
            access_key_id=os.getenv("OSS_ACCESS_KEY_ID", ""),
            access_key_secret=os.getenv("OSS_ACCESS_KEY_SECRET", ""),
            endpoint=os.getenv("OSS_ENDPOINT", "oss-cn-hangzhou.aliyuncs.com"),
            bucket_name=os.getenv("OSS_BUCKET_NAME", ""),
            url_prefix=os.getenv("OSS_URL_PREFIX", ""),
        ),
        app=AppConfig(
            host=os.getenv("APP_HOST", "0.0.0.0"),
            port=int(os.getenv("APP_PORT", "8000")),
            debug=os.getenv("DEBUG", "true").lower() == "true",
        ),
        ai_model=AIModelConfig(
            endpoint=os.getenv("AI_MODEL_ENDPOINT", ""),
            api_key=os.getenv("AI_MODEL_API_KEY", ""),
        ),
    )


settings = load_settings()