"""Agent 可调用的工具定义和实现。"""

from app.services.image_gen import generate_images

# OpenAI Function Calling 格式的工具定义
TOOL_DEFINITIONS = [
    {
        "type": "function",
        "function": {
            "name": "generate_image",
            "description": (
                "根据文字描述生成图片。prompt 必须是英文。"
                "如果用户提供了参考图，会自动传入 ref_image_url 参数。"
                "若当前生图模型为 Stable Diffusion XL，可在正提示后单独一行写 ---NEGATIVE--- 再写负向提示；"
                "不传则服务端会使用该模型的默认负向词。"
            ),
            "parameters": {
                "type": "object",
                "properties": {
                    "prompt": {
                        "type": "string",
                        "description": "英文图片描述 prompt，详细描述要生成的图片内容、风格、颜色等",
                    },
                    "num_images": {
                        "type": "integer",
                        "description": "生成图片数量，1-4 张",
                        "default": 1,
                        "minimum": 1,
                        "maximum": 4,
                    },
                },
                "required": ["prompt"],
            },
        },
    }
]


async def execute_tool(
    tool_name: str,
    arguments: dict,
    ref_image_urls: list[str] | None = None,
    image_model: str | None = None,
) -> dict:
    """执行工具调用，返回结果。"""
    if tool_name == "generate_image":
        prompt = arguments["prompt"]
        num_images = arguments.get("num_images", 1)
        result = await generate_images(
            prompt=prompt,
            num_images=num_images,
            ref_image_urls=ref_image_urls,
            model_id=image_model,
        )
        valid_urls = [u for u in result.urls if not u.startswith("[")]
        errors = [u for u in result.urls if u.startswith("[")]
        return {
            "success": len(valid_urls) > 0,
            "images": valid_urls,
            "errors": errors,
            "prompt_used": prompt,
            "effective_prompt": result.effective_prompt,
            "negative_prompt": result.negative_prompt,
            "model_name": result.model_name,
            "model_id": result.model_id,
        }

    return {"success": False, "error": f"未知工具: {tool_name}"}