"""
EPEEKit 集中配置。
所有可调参数从环境变量读取，每次调用实时读取（不缓存），确保 load_dotenv() 后生效。
"""

import os
from typing import Any


def get_llm_model() -> str:
    return os.getenv("LLM_MODEL", "gpt-4o-mini")


def get_llm_max_iterations() -> int:
    return int(os.getenv("LLM_MAX_ITERATIONS", "5"))


# ─── 图像模型注册表 ─────────────────────────────────────
#
# 每个模型的配置说明：
#   id            — 前端/API 使用的短 ID
#   name          — 显示名称
#   provider      — 生成服务提供者（对应 image_gen.py 中的 Provider）
#   model_id      — Replicate 上的完整模型 ID
#   description   — 前端下拉列表中的说明文字
#   supports_ref_image — 是否原生支持参考图输入（IP-Adapter 等）
#   ref_image_param    — 传给 Replicate 的参考图参数名（模型间可能不同）
#   num_images_param   — 批量生成参数名（Flux 用 num_outputs，Kolors 用 number_of_images）
#   default_params     — 默认推理参数

IMAGE_MODELS: dict[str, dict[str, Any]] = {
    "flux-schnell": {
        "id": "flux-schnell",
        "name": "Flux Schnell",
        "provider": "replicate",
        "model_id": "black-forest-labs/flux-schnell",
        "description": "快速生成，适合快速迭代",
        "supports_ref_image": False,
        "num_images_param": "num_outputs",
        "default_params": {
            "aspect_ratio": "1:1",
            "output_format": "png",
        },
    },
    "flux-dev": {
        "id": "flux-dev",
        "name": "Flux Dev",
        "provider": "replicate",
        "model_id": "black-forest-labs/flux-dev",
        "description": "高质量生成，细节更好",
        "supports_ref_image": False,
        "num_images_param": "num_outputs",
        "default_params": {
            "aspect_ratio": "1:1",
            "output_format": "png",
        },
    },
    "sdxl": {
        "id": "sdxl",
        "name": "Stable Diffusion XL",
        "provider": "replicate",
        "model_id": "stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b",
        "description": "经典 SDXL，支持 negative prompt",
        "supports_ref_image": False,
        "num_images_param": "num_outputs",
        "default_params": {
            "width": 1024,
            "height": 1024,
            "num_inference_steps": 50,
            "guidance_scale": 7.5,
        },
    },
    "instant-style": {
        "id": "instant-style",
        "name": "InstantStyle",
        "provider": "replicate",
        "model_id": "jyoung105/instant-style:c6f01e12f31cb99f9ee774a78992a71294f630a6f433d9aecfdc33b816fc4baa",
        "description": "强风格迁移，画风还原度高（较慢）",
        "supports_ref_image": True,
        "ref_image_param": "style_image",
        "num_images_param": "num_outputs",
        "default_params": {
            "width": 1024,
            "height": 1024,
            "num_inference_steps": 30,
            "guidance_scale": 5,
            "style_strength": 1.0,
            "block_mode": "style-only",
            "adapter_mode": "original",
        },
    },
    "kolors-ipadapter": {
        "id": "kolors-ipadapter",
        "name": "Kolors IP-Adapter",
        "provider": "replicate",
        "model_id": "fofr/kolors-with-ipadapter:5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed",
        "description": "风格参考生成，上传参考图效果最佳",
        "supports_ref_image": True,
        "ref_image_param": "image",
        "num_images_param": "number_of_images",
        "default_params": {
            "width": 1024,
            "height": 1024,
            "steps": 25,
            "cfg": 4,
            "ip_adapter_weight": 0.8,
            "ip_adapter_weight_type": "style transfer precise",
            "output_format": "png",
        },
    },
}


def get_default_image_model_id() -> str:
    """返回 .env 中配置的默认模型短 ID，若不在注册表中则回退到 flux-schnell。"""
    env_model = os.getenv("IMAGE_MODEL", "flux-schnell")
    for mid, cfg in IMAGE_MODELS.items():
        if cfg["model_id"] == env_model or mid == env_model:
            return mid
    return "flux-schnell"


def get_image_model_config(model_id: str | None = None) -> dict[str, Any]:
    """根据短 ID 获取模型配置，未指定或不存在则使用默认模型。"""
    if model_id and model_id in IMAGE_MODELS:
        return IMAGE_MODELS[model_id]
    return IMAGE_MODELS[get_default_image_model_id()]


def get_ref_image_model_id() -> str | None:
    """返回有参考图时推荐使用的模型 ID（第一个 supports_ref_image=True 的模型）。"""
    for mid, cfg in IMAGE_MODELS.items():
        if cfg.get("supports_ref_image"):
            return mid
    return None


def get_image_models_list() -> list[dict]:
    """返回前端下拉列表所需的模型摘要信息。"""
    return [
        {
            "id": cfg["id"],
            "name": cfg["name"],
            "description": cfg["description"],
            "supports_ref_image": cfg.get("supports_ref_image", False),
        }
        for cfg in IMAGE_MODELS.values()
    ]


def get_image_aspect_ratio() -> str:
    return os.getenv("IMAGE_ASPECT_RATIO", "1:1")


def get_image_output_format() -> str:
    return os.getenv("IMAGE_OUTPUT_FORMAT", "png")