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## 一、整体设计
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```mermaid
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flowchart TB
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subgraph Platforms [外部平台]
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FS[飞书]
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DT[钉钉]
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WC[企业微信（开发中）]
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TG[Telegram（开发中）]
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More[更多平台...]
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end
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subgraph BotModule [bot/ 模块]
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WH[Webhook Server]
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Adapters[平台适配器]
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Dispatcher[命令分发器]
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Commands[命令处理器]
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end
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subgraph Core [现有核心模块]
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AS[AnalysisService]
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MA[MarketAnalyzer]
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NS[NotificationService]
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end
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FS -->|POST /bot/feishu| WH
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DT -->|POST /bot/dingtalk| WH
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WC -->|POST /bot/wecom| WH
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TG -->|POST /bot/telegram| WH
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WH --> Adapters
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Adapters -->|统一消息格式| Dispatcher
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Dispatcher --> Commands
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Commands --> AS
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Commands --> MA
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Commands --> NS
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```
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## 二、目录结构
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在项目根目录新建 `bot/` 目录：
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```
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bot/
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├── __init__.py # 模块入口，导出主要类
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├── models.py # 统一的消息/响应模型
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├── dispatcher.py # 命令分发器（核心）
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├── commands/ # 命令处理器
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│ ├── __init__.py
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│ ├── base.py # 命令抽象基类
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│ ├── analyze.py # /analyze 股票分析
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│ ├── market.py # /market 大盘复盘
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│ ├── help.py # /help 帮助信息
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│ └── status.py # /status 系统状态
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└── platforms/ # 平台适配器
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├── __init__.py
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├── base.py # 平台抽象基类
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├── feishu.py # 飞书机器人
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├── dingtalk.py # 钉钉机器人
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├── dingtalk_stream.py # 钉钉机器人Stream
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├── wecom.py # 企业微信机器人 （开发中）
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└── telegram.py # Telegram 机器人 （开发中）
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```
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## 三、核心抽象设计
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### 3.1 统一消息模型 (`bot/models.py`)
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```python
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@dataclass
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class BotMessage:
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"""统一的机器人消息模型"""
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platform: str # 平台标识: feishu/dingtalk/wecom/telegram
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user_id: str # 发送者 ID
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user_name: str # 发送者名称
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chat_id: str # 会话 ID（群聊或私聊）
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chat_type: str # 会话类型: group/private
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content: str # 消息文本内容
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raw_data: Dict # 原始请求数据（平台特定）
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timestamp: datetime # 消息时间
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mentioned: bool = False # 是否@了机器人
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@dataclass
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class BotResponse:
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"""统一的机器人响应模型"""
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text: str # 回复文本
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markdown: bool = False # 是否为 Markdown
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at_user: bool = True # 是否@发送者
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```
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### 3.2 平台适配器基类 (`bot/platforms/base.py`)
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```python
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class BotPlatform(ABC):
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"""平台适配器抽象基类"""
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@property
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@abstractmethod
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def platform_name(self) -> str:
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"""平台标识名称"""
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pass
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@abstractmethod
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def verify_request(self, headers: Dict, body: bytes) -> bool:
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"""验证请求签名（安全校验）"""
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pass
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@abstractmethod
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def parse_message(self, data: Dict) -> Optional[BotMessage]:
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"""解析平台消息为统一格式"""
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pass
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@abstractmethod
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def format_response(self, response: BotResponse) -> Dict:
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"""将统一响应转换为平台格式"""
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pass
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```
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### 3.3 命令基类 (`bot/commands/base.py`)
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```python
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class BotCommand(ABC):
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"""命令处理器抽象基类"""
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@property
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@abstractmethod
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def name(self) -> str:
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"""命令名称 (如 'analyze')"""
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pass
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@property
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@abstractmethod
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def aliases(self) -> List[str]:
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"""命令别名 (如 ['a', '分析'])"""
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pass
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@property
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@abstractmethod
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def description(self) -> str:
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"""命令描述"""
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pass
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@property
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@abstractmethod
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def usage(self) -> str:
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"""使用说明"""
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pass
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@abstractmethod
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async def execute(self, message: BotMessage, args: List[str]) -> BotResponse:
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"""执行命令"""
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pass
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```
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|
|
### 3.4 命令分发器 (`bot/dispatcher.py`)
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```python
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class CommandDispatcher:
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"""命令分发器 - 单例模式"""
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def __init__(self):
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self._commands: Dict[str, BotCommand] = {}
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self._aliases: Dict[str, str] = {}
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def register(self, command: BotCommand) -> None:
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"""注册命令"""
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self._commands[command.name] = command
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for alias in command.aliases:
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self._aliases[alias] = command.name
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def dispatch(self, message: BotMessage) -> BotResponse:
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"""分发消息到对应命令"""
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|
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# 1. 解析命令和参数
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# 2. 查找命令处理器
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# 3. 执行并返回响应
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```
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## 四、已支持的命令
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| 命令 | 别名 | 说明 | 示例 |
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|------|------|------|------|
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| /analyze | /a, 分析 | 分析指定股票 | `/analyze 600519` |
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| /market | /m, 大盘 | 大盘复盘 | `/market` |
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| /batch | /b, 批量 | 批量分析自选股 | `/batch` |
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| /help | /h, 帮助 | 显示帮助信息 | `/help` |
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| /status | /s, 状态 | 系统状态 | `/status` |
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## 五、Webhook 路由
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在 [api/v1/router.py](../api/v1/router.py) 中注册路由：
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```python
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# Webhook 路由
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/bot/feishu # POST - 飞书事件回调
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/bot/dingtalk # POST - 钉钉事件回调
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/bot/wecom # POST - 企业微信事件回调 （开发中）
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/bot/telegram # POST - Telegram 更新回调 （开发中）
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```
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|
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## 配置
|
|
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|
|
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|
|
在 [config.py](../config.py) 中新增机器人配置：
|
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|
|
```python
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# === 机器人配置 ===
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bot_enabled: bool = False # 是否启用机器人
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bot_command_prefix: str = "/" # 命令前缀
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# 飞书机器人（事件订阅）
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feishu_app_id: str # 已有
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feishu_app_secret: str # 已有
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feishu_verification_token: str # 新增：事件校验 Token
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feishu_encrypt_key: str # 新增：加密密钥
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# 钉钉机器人（应用）
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dingtalk_app_key: str # 新增
|
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dingtalk_app_secret: str # 新增
|
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# 企业微信机器人（开发中）
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wecom_token: str # 新增：回调 Token
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wecom_encoding_aes_key: str # 新增：EncodingAESKey
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# Telegram 机器人（开发中）
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telegram_bot_token: str # 已有
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|
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telegram_webhook_secret: str # 新增：Webhook 密钥
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```
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## 扩展说明
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|
|
### 怎样新增一个通知平台
|
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|
|
1. 在 `bot/platforms/` 创建新文件
|
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|
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2. 继承 `BotPlatform` 基类
|
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|
|
3. 实现 `verify_request`, `parse_message`, `format_response`
|
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|
4. 在路由中注册 Webhook 端点
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|
|
### 怎样新增新增命令
|
|
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|
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|
|
1. 在 `bot/commands/` 创建新文件
|
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|
|
2. 继承 `BotCommand` 基类
|
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|
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3. 实现 `execute` 方法
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4. 在分发器中注册命令
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## 安全相关配置
|
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|
|
- 支持命令频率限制（防刷）
|
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- 敏感操作（如批量分析）可设置权限白名单
|
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|
|
在 [config.py](../config.py) 中新增机器人安全配置：
|
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|
|
|
|
|
|
|
|
|
|
```python
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|
|
bot_rate_limit_requests: int = 10 # 频率限制：窗口内最大请求数
|
|
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|
|
bot_rate_limit_window: int = 60 # 频率限制：窗口时间（秒）
|
|
|
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|
|
bot_admin_users: List[str] = field(default_factory=list) # 管理员用户 ID 列表，限制敏感操作
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|
```
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