""" DeepSeek Web Adapter 配置管理 """ import json import os import logging import tempfile from dataclasses import dataclass, field, asdict from pathlib import Path from typing import Optional, List logger = logging.getLogger(__name__) CONFIG_DIR = Path.home() / ".deepseek_web_adapter" CONFIG_FILE = CONFIG_DIR / "config.json" @dataclass class DeepSeekWebConfig: array_base_url: str = "http://47.92.218.141:8000" api_key: str = "" worker_id: str = "" worker_name: str = "DeepSeek-Web" worker_type: str = "ai" worker_location: str = "" admin_port: int = 9091 log_level: str = "INFO" max_rounds: int = 30 task_timeout: int = 600 deepseek_url: str = "https://chat.deepseek.com" headless: bool = False user_data_dir: str = "" allowed_scopes: List[str] = field(default_factory=lambda: ["private", "chat"]) reply_scope: str = "private" def __post_init__(self): if not self.user_data_dir: self.user_data_dir = str(Path.home() / ".deepseek_chat_profile") @property def profile(self) -> dict: return { "name": self.worker_name, "type": self.worker_type, "description": ( "DeepSeek 网页版 AI Agent,通过 Playwright 控制浏览器与 DeepSeek 网页交互," "支持本地命令执行、文件读写、目录浏览等操作。" "收到任务后会先回复确认,再逐步执行,过程中实时汇报进度。" "内置系统指令:[系统指令:取消] 终止任务,[系统指令:状态] 查看状态。" ), "capabilities": { "skills": [ "command_execution", "file_operations", "code_generation", "text_analysis", "web_research", "data_processing" ], "domains": ["general", "software_development"], "tools": ["powershell", "python", "playwright"], "models": ["deepseek"], "languages": ["zh", "en"], "custom": { "controlled_app": { "name": "DeepSeek Web", "vendor": "DeepSeek", "description": "DeepSeek 网页版 AI 助手", }, "control_method": { "protocol": "Playwright", "description": "通过 Playwright 控制 Chrome 浏览器与 DeepSeek 网页交互" }, "message_types": self.allowed_scopes, "max_concurrent_tasks": 1, "system_commands": { "取消": "终止当前任务", "状态": "返回当前任务状态", } } }, "organization": "Array", "location": self.worker_location, "timezone": "Asia/Shanghai", "tags": ["AI", "DeepSeek", "Agent", "Web"], "max_concurrent_tasks": 1, } def save(self): CONFIG_DIR.mkdir(parents=True, exist_ok=True) data = asdict(self) tmp_fd, tmp_path = tempfile.mkstemp( suffix=".tmp", prefix="cfg_", dir=str(CONFIG_DIR), text=True ) try: with os.fdopen(tmp_fd, "w", encoding="utf-8") as f: json.dump(data, f, ensure_ascii=False, indent=2) os.replace(tmp_path, str(CONFIG_FILE)) except Exception: try: os.unlink(tmp_path) except OSError: pass raise logger.info(f"配置已保存到 {CONFIG_FILE}") @classmethod def load(cls) -> "DeepSeekWebConfig": if not CONFIG_FILE.exists(): return cls() try: with open(CONFIG_FILE, "r", encoding="utf-8") as f: data = json.load(f) return cls(**{k: v for k, v in data.items() if k in cls.__dataclass_fields__}) except Exception as e: logger.warning(f"加载配置失败: {e},使用默认配置") return cls() @classmethod def from_env(cls) -> "DeepSeekWebConfig": cfg = cls() cfg.array_base_url = os.getenv("ARRAY_BASE_URL", cfg.array_base_url) cfg.api_key = os.getenv("ARRAY_API_KEY", cfg.api_key) cfg.worker_id = os.getenv("ARRAY_WORKER_ID", cfg.worker_id) cfg.admin_port = int(os.getenv("ADMIN_PORT", str(cfg.admin_port))) cfg.log_level = os.getenv("LOG_LEVEL", cfg.log_level) return cfg config = DeepSeekWebConfig.load()