""" 豆包视觉理解 Worker 插件 """ import os import logging 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 * logger = logging.getLogger("plugins.doubao") # 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。 """ logger.info("豆包插件初始化开始 (count=%d, aicc=%s)", count, config.get("is_aicc", False)) 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: logger.error("豆包插件初始化失败: 缺少 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 logger.info("豆包模型: %s", model) if is_aicc: logger.info("豆包使用 AICC 安全通信模式") # AICC 模式:懒加载,避免非 AICC 环境导入失败 try: from bytedance.volcengine_aicc_sdk.secure_http_client import ( AICCConfig, AsyncSecureHttpClient, ) except ImportError as e: logger.error("AICC SDK 导入失败: %s,请确认已安装 bytedance_volcengine_aicc_sdk", e) raise base_url = config.get("base_url", "https://ark.cn-beijing.volces.com/api/v3") os.environ["DOUBAO_BASE_URL"] = base_url logger.info("豆包 AICC base_url: %s", 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) logger.info("豆包 AICC 客户端已创建") else: logger.info("豆包使用标准 Ark SDK 模式") # Ark 模式:使用 AsyncArk base_url = config.get("base_url", "https://ark.cn-beijing.volces.com/api/v3") os.environ["DOUBAO_BASE_URL"] = base_url client = AsyncArk(base_url=base_url, api_key=api_key) set_ark_client(client) logger.info("豆包 Ark 客户端已创建 (base_url=%s)", base_url) # 委托给通用运行时创建 Worker 任务 logger.info("豆包插件初始化完成,创建 %d 个 Worker 副本", count) return _create_workers(session, config, count, worker_manager) async def cleanup(worker_item: str): """清理资源""" logger.info("豆包插件清理: %s", worker_item) cleanup_all() logger.info("豆包插件清理完毕: %s", worker_item)