Build lightweight AI agent admin

2026-06-08 18:14:59 +08:00
commit e164840f43
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+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+钉钉同步日志模型
+- DingtalkSyncLog: 全量同步任务日志
+- DingtalkStreamEventLog: Stream 增量事件日志
+"""
+from sqlalchemy import Column, String, Text, Integer, DateTime
+
+from app.base_model import BaseModel
+
+
+class DingtalkSyncLog(BaseModel):
+    """
+    钉钉全量同步日志
+
+    字段说明：
+    - sync_type: 同步类型 dept=部门 user=用户
+    - total_count: 钉钉侧总数
+    - success_count: 同步成功数
+    - fail_count: 同步失败数
+    - status: 同步状态 running/success/partial/failed
+    - error_detail: 失败详情（JSON）
+    - started_at: 同步开始时间
+    - finished_at: 同步结束时间
+    """
+    __tablename__ = "core_dingtalk_sync_log"
+
+    sync_type = Column(String(20), nullable=False, index=True, comment="同步类型: dept/user")
+    total_count = Column(Integer, default=0, comment="总数")
+    success_count = Column(Integer, default=0, comment="成功数")
+    fail_count = Column(Integer, default=0, comment="失败数")
+    status = Column(String(20), default="running", index=True, comment="状态: running/success/partial/failed")
+    error_detail = Column(Text, nullable=True, comment="失败详情")
+    started_at = Column(DateTime, nullable=True, comment="开始时间")
+    finished_at = Column(DateTime, nullable=True, comment="结束时间")
+
+    def __repr__(self):
+        return f"<DingtalkSyncLog {self.sync_type} {self.status}>"
+
+
+class DingtalkStreamEventLog(BaseModel):
+    """
+    钉钉 Stream 增量事件日志
+
+    记录每一次 Stream 推送的增量变更（部门/用户的创建、修改、删除等）
+    """
+    __tablename__ = "core_dingtalk_stream_event_log"
+
+    event_type = Column(String(50), nullable=False, index=True, comment="事件类型: org_dept_create/user_add_org等")
+    target_type = Column(String(20), nullable=False, index=True, comment="目标类型: dept/user")
+    target_name = Column(String(100), nullable=True, comment="目标名称")
+    dingtalk_dept_id = Column(String(50), nullable=True, comment="钉钉部门ID")
+    dingtalk_userid = Column(String(100), nullable=True, comment="钉钉用户ID")
+    status = Column(String(20), default="success", index=True, comment="状态: success/failed")
+    error_detail = Column(Text, nullable=True, comment="失败详情")
+    event_time = Column(DateTime, nullable=True, comment="事件时间")
+
+    def __repr__(self):
+        return f"<DingtalkStreamEventLog {self.event_type} {self.target_type} {self.status}>"