JiuContinent
71ca804764
feat: 添加公司AI管理平台基础架构 添加了完整的FastAPI后端项目结构，包括： - 环境配置文件(.env.example)和项目说明文档(README.md、AGENTS.md) - Dockerfile用于容器化部署 - 核心基础设施：配置管理、数据库连接、调度器、安全认证 - 模块化设计：AI代理、审批流程、审计日志、业务台账等功能模块 - 支持多数据库连接(主库和遗留系统只读库) - AI适配器支持OpenClaw、Hermes、OpenAI兼容接口 - 飞书集成、报表生成、风险监控等企业级功能 - 完整的依赖管理和测试指南 ```
85 lines
2.6 KiB
Python
85 lines
2.6 KiB
Python
from typing import Any
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from fastapi import HTTPException, status
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from sqlalchemy.orm import Session
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from app.core.config import get_settings
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from app.modules.audit.schemas import AuditLogCreate
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from app.modules.audit.service import AuditService
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from app.modules.feishu.client import FeishuClient
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class FeishuService:
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"""Send Feishu messages and record audit entries for outbound actions."""
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def __init__(self, db: Session):
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self.db = db
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self.audit = AuditService(db)
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self.client = FeishuClient()
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def verify_event(self, payload: dict[str, Any]) -> None:
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settings = get_settings()
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expected = settings.feishu_verification_token
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token = payload.get("token")
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if expected and token and token != expected:
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raise HTTPException(
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status_code=status.HTTP_401_UNAUTHORIZED,
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detail="Invalid Feishu token",
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)
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def send_text(
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self,
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text: str,
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receive_id: str | None = None,
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receive_id_type: str = "chat_id",
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actor: str = "system",
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) -> dict[str, Any]:
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result = self.client.send_text(text, receive_id, receive_id_type)
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self.audit.log(
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AuditLogCreate(
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actor=actor,
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source="feishu",
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action="send_text",
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request_payload={
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"receive_id": receive_id,
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"receive_id_type": receive_id_type,
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"text": text,
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},
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response_payload=result,
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)
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)
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return result
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def send_card(
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self,
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card: dict[str, Any],
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receive_id: str | None = None,
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receive_id_type: str = "chat_id",
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actor: str = "system",
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) -> dict[str, Any]:
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result = self.client.send_card(card, receive_id, receive_id_type)
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self.audit.log(
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AuditLogCreate(
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actor=actor,
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source="feishu",
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action="send_card",
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request_payload={
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"receive_id": receive_id,
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"receive_id_type": receive_id_type,
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"card": card,
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},
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response_payload=result,
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)
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)
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return result
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@staticmethod
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def build_basic_card(title: str, lines: list[str]) -> dict[str, Any]:
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return {
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"config": {"wide_screen_mode": True},
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"header": {"title": {"tag": "plain_text", "content": title}},
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"elements": [
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{"tag": "div", "text": {"tag": "lark_md", "content": "\n".join(lines) or "暂无数据"}}
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],
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}
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