feat: 添加AI记忆模块和事件调度系统 - 新增AI记忆模块,支持本地记忆召回和自动写入功能 - 实现事件调度系统,支持批量处理待定事件和重试机制 - 集成心跳监控机制,跟踪API、调度器和工作节点状态 - 扩展仪表板数据统计,包含AI记忆条目和心跳概要 - 添加企业运营分析报告功能,提供财务、采购等多维度分析 - 更新配置设置,增加事件调度和AI记忆相关参数 - 优化任务队列,添加事件分发任务类型 - 扩展审计日志,记录AI记忆操作和事件调度行为 - 实现领域事件模型,支持事件持久化和状态管理 - 添加观察性服务,监控系统组件健康状况 ```
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
from fastapi import APIRouter, Depends, Query
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from sqlalchemy.orm import Session
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from app.core.database import get_db
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from app.core.security import ApiPrincipal, require_api_key
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from app.modules.ai_memory.constants import AIMemoryResponseKey, AIMemoryStatus
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from app.modules.ai_memory.schemas import AIMemoryRecallRequest
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from app.modules.ai_memory.service import AIMemoryService
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router = APIRouter(dependencies=[Depends(require_api_key)])
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@router.get("/memory")
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def list_memory(
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scope: str | None = None,
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subject: str | None = None,
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status: str = AIMemoryStatus.ACTIVE,
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limit: int = Query(default=100, ge=1, le=500),
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db: Session = Depends(get_db),
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) -> dict:
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return {
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AIMemoryResponseKey.ITEMS: AIMemoryService(db).list_entries(
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scope=scope,
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subject=subject,
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status_filter=status,
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limit=limit,
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)
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}
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@router.post("/memory/recall")
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def recall_memory(
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payload: AIMemoryRecallRequest,
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db: Session = Depends(get_db),
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principal: ApiPrincipal = Depends(require_api_key),
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) -> dict:
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items = AIMemoryService(db).recall(
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query=payload.query,
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scope=payload.scope,
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subject=payload.subject,
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limit=payload.limit,
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actor=principal.actor,
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)
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return {AIMemoryResponseKey.ITEMS: items}
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