from __future__ import annotations

from typing import Any


async def handle_image_workflow(*, workflow_router: Any, message: str, data: dict, image_urls: list) -> bool:
    """处理图片工作流（根据客户说的话判断执行哪种工作流）。"""
    if not image_urls:
        return False

    workflow_type, confidence = workflow_router.detect_workflow(message)

    customer_id = data.get("from_id")
    acc_id = data.get("acc_id", "")
    acc_type = data.get("acc_type", "AliWorkbench")
    image_url = image_urls[0]

    print(f"[Agent] 检测到工作流类型：{workflow_type} (置信度：{confidence})")

    if workflow_type == "find_image":
        print(f"[Agent] 执行查找图片工作流 | 客户：{customer_id}")
        from core.workflow import workflow

        return await workflow.find_image_workflow(
            customer_id=customer_id,
            image_url=image_url,
            acc_id=acc_id,
            acc_type=acc_type,
        )
    if workflow_type == "process_image":
        print(f"[Agent] 执行处理图片工作流 | 客户：{customer_id}")
        from core.workflow import workflow

        return await workflow.process_image_workflow(
            customer_id=customer_id,
            image_url=image_url,
            acc_id=acc_id,
            acc_type=acc_type,
        )
    if workflow_type == "transfer_human":
        print(f"[Agent] 执行转人工派单工作流 | 客户：{customer_id}")
        from core.workflow import workflow

        return await workflow.transfer_to_designer_workflow(
            customer_id=customer_id,
            image_url=image_url,
            acc_id=acc_id,
            acc_type=acc_type,
            reason="客户主动要求转人工",
        )

    return False