"""Agent 可调用的工具定义和实现。"""

from app.services.image_gen import generate_images
from app.services.view_transform import transform_view

# 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"],
            },
        },
    },
    {
        "type": "function",
        "function": {
            "name": "transform_view",
            "description": (
                "将一张图片转换为多个不同视角。需要用户先上传参考图。\n"
                "可选模型：\n"
                "- zero123plus（默认）：~15s/次，Zero123++ 直接输出 6 个固定视角"
                "（方位角 30/90/150/210/270/330°，仰角交替 30/-20°），适合快速预览，"
                "对建筑大角度可能有错位。\n"
                "- trellis：~105s/次，先 3D 重建再重绘，"
                "支持任意方位角 + 原画风保留，适合卡通描边风格建筑。"
            ),
            "parameters": {
                "type": "object",
                "properties": {
                    "model_id": {
                        "type": "string",
                        "enum": ["zero123plus", "trellis"],
                        "default": "zero123plus",
                        "description": "视角变换模型；默认 zero123plus（快），trellis 画风还原更强但慢",
                    },
                    "azimuths": {
                        "type": "array",
                        "items": {"type": "integer"},
                        "description": "mesh 管道专用：自定义方位角数组（0-359），默认 [0,60,120,180,240,300]",
                    },
                    "preserve_style": {
                        "type": "boolean",
                        "default": True,
                        "description": "mesh 管道专用：是否对抽帧结果走 IP-Adapter+ControlNet 重绘还原原画风",
                    },
                },
                "required": [],
            },
        },
    },
]


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,
        }

    if tool_name == "transform_view":
        if not ref_image_urls:
            return {
                "success": False,
                "error": "视角变换需要一张输入图片，请先上传参考图",
            }
        result = await transform_view(
            ref_image_urls[0],
            model_id=arguments.get("model_id"),
            azimuths=arguments.get("azimuths"),
            elevations=arguments.get("elevations"),
            preserve_style=arguments.get("preserve_style", True),
        )
        return result

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