"""配置：仓库根 .env 或环境变量。"""
from __future__ import annotations

from functools import lru_cache
from pathlib import Path

from pydantic_settings import BaseSettings, SettingsConfigDict

# 仓库根（server/ 的上一级）
ROOT = Path(__file__).resolve().parents[1]

# 水印徽章图（复刻 ozonSeller 图表处理的默认水印；请求可选图片/文字水印）
WATERMARK_IMAGE_PATH = Path(__file__).resolve().parent / "assets" / "watermark.jpg"


class Settings(BaseSettings):
    model_config = SettingsConfigDict(
        env_file=str(ROOT / ".env"),
        env_file_encoding="utf-8",
        extra="ignore",
    )

    # ── 服务 ──
    # 不要用 5000/7000：macOS 隔空播放接收器占用（IPv6 localhost 会被截走）
    host: str = "127.0.0.1"
    port: int = 3300
    app_base_url: str = "http://127.0.0.1:3300"

    # ── 存储 ──
    data_dir: str = str(ROOT / "data")

    # 水印图片路径（图片水印的徽章源图，可用 .env 覆盖）
    watermark_image_path: str = str(WATERMARK_IMAGE_PATH)

    # ── 图像生成 provider：doubao（火山方舟 Seedream）| tongyi（阿里 DashScope）──
    image_provider: str = "doubao"
    request_timeout: int = 300          # 单张生图请求超时（秒）
    poll_max_wait: int = 600            # 异步任务轮询上限（秒）

    # 豆包 / 火山方舟
    ark_api_key: str = ""
    ark_base_url: str = "https://ark.cn-beijing.volces.com/api/v3/images/generations"
    ark_image_model: str = "doubao-seedream-4-5-251128"

    # 通义 / DashScope
    dashscope_api_key: str = ""
    dashscope_base_url: str = ""        # 留空按模型自动选择万象异步/千问同步端点
    dashscope_model: str = "wan2.7-image-pro"

    # RightAPI（OpenAI 兼容中转，gpt-image / nano-banana 系列）
    rightapi_api_key: str = ""
    rightapi_base_url: str = "https://rightapi.ai/draw"
    rightapi_image_model: str = "gpt-image-2"
    rightapi_max_retries: int = 3         # 429/5xx/超时的重试次数（1 = 不重试）
    rightapi_retry_wait: int = 60         # 重试基础等待秒数，按 60→120→240 递增

    # DeepSeek（出图方案规划器）
    deepseek_api_key: str = ""
    deepseek_base_url: str = "https://api.deepseek.com/v1"
    deepseek_model: str = "deepseek-v4-flash"


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