"""
豆包视觉理解 Worker 插件
"""
import os
from openai import AsyncOpenAI
from volcenginesdkarkruntime import AsyncArk
from chongming_worker import create_workers as _create_workers
from chongming_worker import auto_bind_models
from .global_var import (
    set_ark_client, set_aicc_client, set_is_aicc,
    cleanup_all,
)
from .router import *

# 自动绑定 gen_models 生成的 Pydantic 模型
auto_bind_models("doubao")

async def create_workers(session, config, count=1, worker_manager=None):
    """
    工厂函数：由 app 生命周期调用，创建 Worker 协程。
    """
    is_aicc = config.get("is_aicc", False)
    set_is_aicc(is_aicc)

    api_key = config.get("api_key") or os.environ.get("VOLC_ACCESSKEY")
    if not api_key:
        raise ValueError("缺少 API_KEY，请在配置中设置 api_key 或环境变量 VOLC_ACCESSKEY")

    model = config.get("model", "doubao-seed-evolving")
    os.environ["DOUBAO_MODEL"] = model

    if is_aicc:
        # AICC 模式：懒加载，避免非 AICC 环境导入失败
        from bytedance.volcengine_aicc_sdk.secure_http_client import (
            AICCConfig, AsyncSecureHttpClient,
        )

        base_url = config.get("base_url", "https://ark.cn-beijing.volces.com/api/v3")
        os.environ["DOUBAO_BASE_URL"] = base_url

        aicc_config = AICCConfig(ra_url=base_url, auth_token=api_key)
        client = AsyncOpenAI(
            api_key=api_key,
            base_url=base_url,
            http_client=AsyncSecureHttpClient(aicc_config=aicc_config),
        )
        set_aicc_client(client)
    else:
        # Ark 模式：使用 AsyncArk
        base_url = config.get("base_url", "https://ark.cn-beijing.volces.com/api/v3")
        client = AsyncArk(base_url=base_url, api_key=api_key)
        set_ark_client(client)

    # 委托给通用运行时创建 Worker 任务
    return _create_workers(session, config, count, worker_manager)

async def cleanup(worker_item: str):
    """清理资源"""
    cleanup_all()
    print(f"{worker_item} 清理完毕")