qing
d03dbc7f91
- models 配置节：多 OpenAI Chat Completions 兼容端点按档案名切换，默认空 dict 零破坏回退旧 api 节 - --model 双语义：档案名（命中 models 节完整采用）/ 裸模型名（同端点换模型） - resolve_api_key 档案级 env 三级语义：未配置回退 api.api_key_env / 显式名称 / 空串免密（Ollama/vLLM） - 档案级 reasoning_enabled 附加 client 属性，DeepSeekChat._reasoning_enabled 优先读取 - llm_client 增加 openai_compatible/openai provider 别名 - README 更新：aibox/README 六处（特性/配置/多模型档案专节/CLI 参数/更新日志 v3.2/测试计数 264）+ 根 README aibox 小节 - 单测 17 项新增（test_models_profile.py），全套 264 项全过
276 lines
11 KiB
Python
276 lines
11 KiB
Python
#!/usr/bin/env python3
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"""
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common.config - aibox 配置管理器
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抽离自 aibox.py 的 ConfigManager。仅依赖 common.i18n（在运行期方法内部使用），
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不反向依赖 aibox 任何符号，可安全独立导入。
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"""
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import os
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import json
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from typing import Dict, Optional
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from .i18n import i18n
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class ConfigManager:
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"""配置管理器 - 单例模式，负责加载和保存配置"""
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_instance = None
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_config = None
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_config_path = None
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def __new__(cls):
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if cls._instance is None:
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cls._instance = super().__new__(cls)
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return cls._instance
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def __init__(self):
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if self._config is None:
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self._load_config()
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def _get_default_config_path(self) -> str:
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env_config = os.environ.get("AI_CONFIG_PATH")
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if env_config:
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return env_config
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return os.path.expanduser("~/.aibox/config.json")
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def _get_default_config(self) -> Dict:
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return {
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# 系统参数
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"system": {
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"save_dir": "~/.aibox", # 储存目录
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"datetime_format": "%Y-%m-%d %H:%M:%S", # 时间格式
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"date_format": "%Y%m%d_%H%M%S", # 另一个时间格式
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"debug_level": 1, # 调试等级
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"load_history_by_default": True, # 默认加载历史记录
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"log_file": "~/.aibox/ai.log", # 日志文件
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"log_max_size": 10485760, # 日志最大大小
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"log_backup_count": 5, # 日志备份数量
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"skills_dir": "~/.aibox/skills", # 技能目录
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"prompts_dir": "~/.aibox/prompts", # 提示词目录
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"workspace_dir": "~/.aibox/workspace", # 工作空间目录
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"websocket_host": "localhost", # websocket监听地址
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"websocket_port": 8765, # websocket监听端口
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},
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# 调度程序
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"scheduler": {
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"enabled": True, # 开启调度
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"check_interval": 1.0, # 检查间隔
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"max_tasks_per_run": 10, # 每次运行最大任务量
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"broadcast_enabled": True # 开启广播
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},
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# 大模型调用接口
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"api": {
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"provider": "openai_compatible", # 提供商：deepseek / openai_compatible（OpenAI Chat Completions 协议兼容）
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"deepseek_api_url": "https://api.deepseek.com/chat/completions", # deepseek API URL
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"deepseek_model": "deepseek-v4-flash", # 模型名字
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"reasoning_enabled": False, # 开启思维链
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"api_key_env": "DEEPSEEK_API_KEY", # API-KEY所在的环境变量
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"timeout": 120, # 调用大模型请求超时时间
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"temperature": 0.7, # 大模型对话温度（类似思维发散程度）
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"default_model": "deepseek" # 默认模型档案名（对应 models 节的 key）
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},
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# 多模型档案：可配置多个 OpenAI Chat Completions 兼容端点，按名称选择
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# 示例（在 ~/.aibox/config.json 中添加）：
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# "models": {
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# "kimi": {
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# "api_url": "https://api.moonshot.cn/v1/chat/completions",
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# "model": "kimi-k2",
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# "api_key_env": "MOONSHOT_API_KEY", # 未配置回退 api.api_key_env；空串 "" 为免密端点
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# "reasoning_enabled": false,
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# "timeout": 120
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# },
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# "local": {
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# "api_url": "http://localhost:11434/v1/chat/completions",
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# "model": "qwen3:32b",
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# "api_key_env": ""
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# }
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# }
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# 选择优先级：--model <档案名> > api.default_model > 回退旧 api 扁平节。
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# 默认留空：用户未配置档案时走旧 api 节（零破坏）。
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"models": {},
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# 大模型上下文
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"context": {
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"max_history_messages": 500, # 最大历史消息数量
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"max_context_messages": 120, # 最大内容消息数量（？）
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"max_tokens": 8192, # 最大输出token量
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"max_history_conversations": 5, # 最大历史对话
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"preserve_system_prompts": True, # 开启前置系统提示词
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# 对话压缩配置
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"compress_enabled": True, # 开启压缩
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"compress_message_threshold": 200, # 压缩消息条数阈值
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"compress_token_threshold": 120000, # 压缩消息词元阈值
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"compress_ratio": 0.2, # 压缩率
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"compress_keep_recent": 16 # 压缩保留最近的几条
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},
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# 定时任务参数
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"memo": {
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"default_reminder_minutes": 60,
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"max_memos_per_check": 10, # 每次检查定时任务数量
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"allow_user_tasks": True # 允许用户任务
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},
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# 文件
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"files": {
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"max_file_size": 10485710 # 最大文件大小
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},
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# 指令
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"commands": {
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"enabled": True # 开启指令
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},
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# 网页
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"web": {
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"timeout": 10, # 超时时间
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"delay": 0, # 延时
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"user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
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"respect_robots": False, #
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"max_download_size": 10485760 # 最大下载大小
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},
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# 记忆
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"memory": {
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"db_name": "memories.db", # 数据库名
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"max_search_results": 100, # 最大搜索结果
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"default_importance": 2 # ？
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},
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# 对话
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"conversation": {
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"current_file": "current_conversation.json", # 当前对话文件
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"history_file": "conversation_history.json", # 历史对话文件
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"archive_dir": "archive" # ？
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},
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# 工具
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"tools": {
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"max_result_length": 10000, # 结果最大长度
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"save_result_to_file": False, # 保存结果到文件
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"tool_results_dir": "tool_results" # 工具结果存储目录
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},
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# 压缩器
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"compressor": {
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"min_messages_to_compress": 5, # 最小压缩数量
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"weight_decay_factor": 0.01, # ？
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"max_input_chars": 6000, # 最大输入字符
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"llm_max_tokens": 1000 # 大模型最大输出词元
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},
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# 子代理输出
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"subagent_stream_output": True, # 是否将子代理的实时输出（思考/工具调用/回答）转发到主对话侧栏
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}
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def _load_config(self):
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config_path = self._get_default_config_path()
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self._config_path = config_path
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if os.path.exists(config_path):
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try:
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with open(config_path, 'r', encoding='utf-8') as f:
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user_config = json.load(f)
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default_config = self._get_default_config()
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self._config = self._merge_configs(default_config, user_config)
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print(i18n.get('config_loaded', config_path))
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except Exception as e:
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print(f"⚠️ {i18n.get('error_prefix')}{e}，使用默认配置")
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self._config = self._get_default_config()
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else:
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print(i18n.get('config_not_found', config_path))
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self._config = self._get_default_config()
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self._save_default_config(config_path)
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def _merge_configs(self, default: Dict, user: Dict) -> Dict:
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result = default.copy()
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for key, value in user.items():
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if key in result and isinstance(result[key], dict) and isinstance(value, dict):
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result[key] = self._merge_configs(result[key], value)
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else:
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result[key] = value
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return result
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def _save_default_config(self, config_path: str):
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try:
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os.makedirs(os.path.dirname(config_path), exist_ok=True)
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with open(config_path, 'w', encoding='utf-8') as f:
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json.dump(self._get_default_config(), f, ensure_ascii=False, indent=2)
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print(i18n.get('config_created', config_path))
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except:
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pass
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def get(self, key_path: str, default=None):
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keys = key_path.split('.')
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value = self._config
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try:
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for key in keys:
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value = value[key]
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return value
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except (KeyError, TypeError):
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return default
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def reload(self):
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self._load_config()
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def get_proxy(self) -> Optional[Dict[str, str]]:
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"""获取当前代理配置（返回 requests 可用的 proxies 字典）"""
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proxy_conf = self.get("proxy.socks5")
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if not proxy_conf or not proxy_conf.get("enabled", False):
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return None
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host = proxy_conf.get("host", "127.0.0.1")
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port = proxy_conf.get("port", 1080)
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username = proxy_conf.get("username")
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password = proxy_conf.get("password")
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if username and password:
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proxy_url = f"socks5://{username}:{password}@{host}:{port}"
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else:
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proxy_url = f"socks5://{host}:{port}"
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return {"http": proxy_url, "https": proxy_url}
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def set_proxy(self, host: str, port: int, username: str = None, password: str = None, enabled: bool = True, save: bool = True):
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"""动态设置代理配置（内存中更新，并可选择写入配置文件）"""
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# 确保 proxy 节点存在
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if "proxy" not in self._config:
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self._config["proxy"] = {}
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self._config["proxy"]["socks5"] = {
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"enabled": enabled,
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"host": host,
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"port": port,
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"username": username,
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"password": password
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}
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if save:
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self._save_config()
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return True
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def _save_config(self):
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"""将当前配置保存到配置文件（覆盖）"""
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config_path = self._config_path
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if config_path:
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try:
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os.makedirs(os.path.dirname(config_path), exist_ok=True)
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with open(config_path, 'w', encoding='utf-8') as f:
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json.dump(self._config, f, ensure_ascii=False, indent=2)
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print(f"✅ 配置已保存到 {config_path}")
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except Exception as e:
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print(f"⚠️ 保存配置失败: {e}")
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def get_proxy_info(self) -> Dict:
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"""获取代理配置的详细信息（用于显示）"""
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proxy_conf = self.get("proxy.socks5", {})
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return {
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"enabled": proxy_conf.get("enabled", False),
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"host": proxy_conf.get("host", ""),
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"port": proxy_conf.get("port", 0),
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"username": proxy_conf.get("username"),
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"password": proxy_conf.get("password") is not None # 只显示是否存在
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}
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