fad458b2a7
- UIUX 文档:填充 19 个缺口(多主体画像/健康度/AI+看板/增长域/洞察域/创始人端/OODA/助推/商密) - UIUX 文档:插入 6 个新章节(十四~十九),旧章节重编号为二十~三十一,更新目录和交叉引用 - 作业指导书 x5:导航改为 6 域分组,新增 Context Bar/工作模式/Insight Rail/决策线程/多工作区等 UI 概念 - 新建 docs/2-task-uiux.md:50 个代码落地开发任务,按 P0-P6 分优先级 + 8 Sprint 规划 - 后端/前端:大量新增模型、路由、组件(来自之前 Phase 开发)
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
"""流失风险预警。"""
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from datetime import datetime, timezone
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from sqlalchemy import select, func
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.models.company import Company
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from app.models.report import MonthlyReport
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async def detect_churn_risk(db: AsyncSession, tenant_id: str) -> list[dict]:
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"""识别企业活跃度下降/数据共享减少/互动减少的早期信号。"""
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result = await db.execute(
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select(Company).where(Company.tenant_id == tenant_id)
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)
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companies = result.scalars().all()
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risks: list[dict] = []
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for company in companies:
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# 检查最近月报提交情况
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report_result = await db.execute(
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select(func.count(MonthlyReport.id))
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.where(MonthlyReport.company_id == company.id)
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)
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report_count = report_result.scalar_one()
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if report_count == 0:
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risks.append({
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"company_id": str(company.id),
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"company_name": company.name,
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"risk_level": "high",
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"signals": ["从未提交月报"],
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"detected_at": datetime.now(timezone.utc).isoformat(),
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})
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return risks
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