初始提交: Qihu-AIFlow v2.0.1 完整项目

- 前端 React+TypeScript (源码+构建产物)
- 后端 Python FastAPI
- 数据库迁移 001-015
- Docker部署配置
- 微信ClawBot API频道绑定
- 项目文档 README.md
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"""
平台适配器注册机制 - 参照AstrBot @register_platform_adapter 装饰器模式
让新平台接入标准化,通过装饰器注册 + 统一接口
"""
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import Any, Callable
import logging
logger = logging.getLogger(__name__)
# 全局注册表
platform_registry: dict[str, "PlatformMetadata"] = {}
platform_cls_map: dict[str, type] = {}
@dataclass
class PlatformMetadata:
"""平台元数据"""
name: str # 平台标识 wecom/feishu/dingtalk/telegram/slack/whatsapp
display_name: str # 显示名称
description: str # 描述
icon: str = "" # 图标URL或base64
version: str = "1.0"
support_streaming: bool = True # 是否支持流式消息
support_image: bool = True # 是否支持图片消息
support_file: bool = True # 是否支持文件消息
support_voice: bool = False # 是否支持语音消息
config_schema: dict = field(default_factory=dict) # JSON Schema for config validation
class BasePlatformAdapter(ABC):
"""平台适配器基类 - 所有平台适配器必须继承此类"""
def __init__(self, config: dict):
self.config = config
self._status = "stopped" # pending/running/error/stopped
@abstractmethod
def get_metadata(self) -> PlatformMetadata:
"""返回平台元数据"""
...
@abstractmethod
def parse_webhook(self, payload: dict) -> dict:
"""解析webhook payload为统一消息格式
返回: {
"content_type": "text"|"image"|"file"|...,
"content": "文本内容或资源标识",
"sender_id": "发送者ID",
"sender_name": "发送者名称",
"message_id": "平台消息ID",
"timestamp": 1234567890,
"group_id": "群聊ID(可选)",
"group_name": "群聊名称(可选)",
"raw": raw_payload,
}
"""
...
@abstractmethod
def verify_signature(self, payload: dict, signature: str, timestamp: str) -> bool:
"""验证webhook签名"""
...
@abstractmethod
def build_reply(self, channel_config: dict, content: str, reply_to: str = None) -> dict:
"""构建回复消息格式
返回: {"api_url": "...", "headers": {...}, "body": {...}}
"""
...
def get_status(self) -> str:
return self._status
def start(self):
self._status = "running"
def stop(self):
self._status = "stopped"
def register_platform_adapter(
name: str,
display_name: str,
description: str,
icon: str = "",
support_streaming: bool = True,
support_image: bool = True,
support_file: bool = True,
support_voice: bool = False,
config_schema: dict = None,
):
"""注册平台适配器的装饰器 - 参照AstrBot @register_platform_adapter 模式"""
def decorator(cls):
if not issubclass(cls, BasePlatformAdapter):
raise TypeError(f"{cls.__name__} 必须继承 BasePlatformAdapter")
metadata = PlatformMetadata(
name=name,
display_name=display_name,
description=description,
icon=icon,
support_streaming=support_streaming,
support_image=support_image,
support_file=support_file,
support_voice=support_voice,
config_schema=config_schema or {},
)
if name in platform_cls_map:
logger.warning(f"平台 {name} 已注册,将被覆盖")
platform_registry[name] = metadata
platform_cls_map[name] = cls
logger.info(f"[Platform] 注册平台适配器: {name} ({display_name})")
return cls
return decorator
def get_platform_adapter(name: str, config: dict) -> BasePlatformAdapter:
"""获取平台适配器实例"""
if name not in platform_cls_map:
raise ValueError(f"未知平台: {name}. 可用平台: {list(platform_cls_map.keys())}")
return platform_cls_map[name](config)
def list_platforms() -> list[PlatformMetadata]:
"""列出所有已注册平台"""
return list(platform_registry.values())