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)
149 lines
4.7 KiB
Python
149 lines
4.7 KiB
Python
"""创始人专属 API — 经营概览 + 自身健康度 + AI 副驾驶完整版。"""
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from fastapi import APIRouter, Depends, Query
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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.health_score import HealthScore
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from app.models.report import MonthlyReport
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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.founder_copilot import financing_planner, org_diagnostic, investor_comm_prep
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router = APIRouter(prefix="/founder", tags=["founder"])
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@router.get("/overview", response_model=ApiResponse[dict])
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async def founder_overview(
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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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"""创始人经营概览。"""
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# 获取创始人关联的企业
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company_result = await db.execute(
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select(Company).where(Company.tenant_id == user.tenant_id).limit(1)
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)
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company = company_result.scalar_one_or_none()
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if not company:
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return success(data={"message": "暂无关联企业"})
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# 获取最新健康度
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health_result = await db.execute(
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select(HealthScore)
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.where(HealthScore.company_id == company.id)
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.order_by(HealthScore.calculated_at.desc())
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.limit(1)
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)
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health = health_result.scalar_one_or_none()
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# 获取最新月报
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report_result = await db.execute(
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select(MonthlyReport)
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.where(MonthlyReport.company_id == company.id)
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.order_by(MonthlyReport.period_year.desc(), MonthlyReport.period_month.desc())
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.limit(1)
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)
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report = report_result.scalar_one_or_none()
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return success(data={
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"company": {"id": str(company.id), "name": company.name, "industry": company.industry, "stage": company.stage},
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"health_score": {
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"total_score": health.total_score if health else None,
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"trend": health.trend if health else None,
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} if health else None,
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"latest_report": {
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"id": str(report.id),
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"period": f"{report.period_year}-{report.period_month:02d}",
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"status": report.status,
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} if report else None,
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})
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@router.get("/health", response_model=ApiResponse[dict])
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async def founder_health(
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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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"""创始人查看自身健康度。"""
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company_result = await db.execute(
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select(Company).where(Company.tenant_id == user.tenant_id).limit(1)
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)
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company = company_result.scalar_one_or_none()
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if not company:
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return success(data=None)
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result = await db.execute(
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select(HealthScore)
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.where(HealthScore.company_id == company.id)
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.order_by(HealthScore.calculated_at.desc())
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.limit(1)
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)
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health = result.scalar_one_or_none()
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if not health:
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return success(data=None)
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return success(data={
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"total_score": health.total_score,
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"financial_score": health.financial_score,
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"operational_score": health.operational_score,
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"ai_commercial_score": health.ai_commercial_score,
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"ai_cost_score": health.ai_cost_score,
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"trend": health.trend,
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"recommendations": health.recommendations_json,
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})
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@router.post("/financing-plan", response_model=ApiResponse[dict])
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async def founder_financing_plan(
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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 融资规划 — 节奏/估值/投资人画像。
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Args:
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req: 包含 company_data 字段,描述企业当前融资情况
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Returns:
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AI 生成的融资规划建议
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"""
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result = await financing_planner(req.get("company_data", ""))
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return success(data=result)
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@router.post("/org-diagnostic", response_model=ApiResponse[dict])
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async def founder_org_diagnostic(
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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 组织诊断 — 团队结构/关键岗位风险/人才缺口。
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Args:
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req: 包含 team_data 字段,描述团队当前情况
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Returns:
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AI 生成的组织诊断报告
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"""
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result = await org_diagnostic(req.get("team_data", ""))
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return success(data=result)
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@router.post("/investor-comm-prep", response_model=ApiResponse[dict])
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async def founder_investor_comm_prep(
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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 投资人沟通准备 — 董事会材料/投资人问答。
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Args:
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req: 包含 board_context 字段,描述董事会/投资人会议背景
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Returns:
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AI 生成的投资人沟通准备材料
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"""
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result = await investor_comm_prep(req.get("board_context", ""))
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return success(data=result)
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