selfrelease
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）
69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
"""决策前哨路由：CRUD + 场景分析查询。"""
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from fastapi import APIRouter, Depends, HTTPException, Query, status
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.database import get_db
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from app.core.dependencies import get_current_user
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from app.models.company import Company
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from app.models.decision_sentinel import DecisionSentinel
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from app.models.user import User
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from app.schemas.common import ApiResponse, success
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from app.services.decision_sentinel_agent import analyze_scenarios, identify_decision_points
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router = APIRouter(prefix="/decision-sentinels", tags=["decision-sentinels"])
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@router.get("", response_model=ApiResponse[list])
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async def list_sentinels(
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company_id: str | None = Query(default=None),
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db: AsyncSession = Depends(get_db),
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user: User = Depends(get_current_user),
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):
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"""获取决策前哨列表。"""
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query = (
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select(DecisionSentinel)
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.join(Company, DecisionSentinel.company_id == Company.id)
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.where(Company.tenant_id == user.tenant_id)
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)
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if company_id:
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query = query.where(DecisionSentinel.company_id == company_id)
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result = await db.execute(query.order_by(DecisionSentinel.identified_at.desc()))
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items = result.scalars().all()
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return success(data=[
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{
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"id": str(i.id),
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"company_id": str(i.company_id),
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"decision_type": i.decision_type,
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"title": i.title,
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"description": i.description,
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"signals": i.signals,
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"scenarios": i.scenarios,
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"status": i.status,
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"identified_at": i.identified_at.isoformat(),
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}
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for i in items
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])
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@router.post("/identify", response_model=ApiResponse[list])
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async def identify_sentinels(
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req: dict,
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user: User = Depends(get_current_user),
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):
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"""AI 识别决策岔路口。"""
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points = await identify_decision_points(req.get("company_context", ""))
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return success(data=points)
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@router.post("/{sentinel_id}/analyze", response_model=ApiResponse[dict])
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async def analyze_sentinel_scenarios(
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sentinel_id: str,
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req: dict,
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user: User = Depends(get_current_user),
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):
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"""AI 生成场景分析。"""
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scenarios = await analyze_scenarios(req.get("decision", {}))
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return success(data=scenarios)
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