feat: T1.7 投后报告导出 + T1.8 docker-compose.dev.yml + T0.4 补全

- 后端：reports_export 路由（summary 聚合 + JSON 导出）
- 测试：3 个导出测试，总计 67 passed
- docker-compose.dev.yml：开发覆盖（源码挂载 + hot reload + debugpy）
- 前端 14 路由构建成功

backend/app/main.py

@@ -15,6 +15,7 @@ from app.routers.companies import router as companies_router
 from app.routers.copilot import router as copilot_router
 from app.routers.dashboard import router as dashboard_router
 from app.routers.reports import router as reports_router
+from app.routers.reports_export import router as reports_export_router
 from app.routers.risks import router as risks_router
 from app.schemas.common import error
 
@@ -77,3 +78,4 @@ app.include_router(reports_router, prefix="/api/v1")
 app.include_router(dashboard_router, prefix="/api/v1")
 app.include_router(risks_router, prefix="/api/v1")
 app.include_router(copilot_router, prefix="/api/v1")
+app.include_router(reports_export_router, prefix="/api/v1")

backend/app/routers/reports_export.py

@@ -0,0 +1,211 @@
+"""投后报告生成 + PDF 导出路由。"""
+
+import json
+import logging
+from datetime import datetime, timezone
+
+from fastapi import APIRouter, Depends, HTTPException, status
+from fastapi.responses import StreamingResponse
+from sqlalchemy import select
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.core.database import get_db
+from app.core.dependencies import get_current_user
+from app.models.company import Company
+from app.models.health_score import HealthScore
+from app.models.report import MonthlyReport
+from app.models.risk import RiskEvent
+from app.models.user import User
+from app.schemas.common import ApiResponse, success
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/reports-export", tags=["reports-export"])
+
+
+@router.get("/{company_id}/summary")
+async def get_company_summary(
+    company_id: str,
+    db: AsyncSession = Depends(get_db),
+    user: User = Depends(get_current_user),
+):
+    """获取企业投后报告汇总数据（用于前端展示或导出）。"""
+    # 验证企业
+    company_result = await db.execute(
+        select(Company).where(Company.id == company_id, Company.tenant_id == user.tenant_id)
+    )
+    company = company_result.scalar_one_or_none()
+    if not company:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="企业不存在")
+
+    # 获取最新月报
+    reports_result = await db.execute(
+        select(MonthlyReport)
+        .where(MonthlyReport.company_id == company_id)
+        .order_by(MonthlyReport.period_year.desc(), MonthlyReport.period_month.desc())
+        .limit(12)
+    )
+    reports = reports_result.scalars().all()
+
+    # 获取最新健康度评分
+    score_result = await db.execute(
+        select(HealthScore)
+        .where(HealthScore.company_id == company_id)
+        .order_by(HealthScore.calculated_at.desc())
+        .limit(12)
+    )
+    scores = score_result.scalars().all()
+
+    # 获取风险事件
+    risk_result = await db.execute(
+        select(RiskEvent)
+        .where(RiskEvent.company_id == company_id)
+        .order_by(RiskEvent.identified_at.desc())
+        .limit(20)
+    )
+    risks = risk_result.scalars().all()
+
+    summary = {
+        "company": {
+            "name": company.name,
+            "industry": company.industry,
+            "stage": company.stage,
+            "description": company.description,
+            "website": company.website,
+        },
+        "latest_score": {
+            "total_score": scores[0].total_score if scores else None,
+            "financial_score": scores[0].financial_score if scores else None,
+            "operational_score": scores[0].operational_score if scores else None,
+            "ai_commercial_score": scores[0].ai_commercial_score if scores else None,
+            "ai_cost_score": scores[0].ai_cost_score if scores else None,
+            "trend": scores[0].trend if scores else None,
+        } if scores else None,
+        "score_history": [
+            {
+                "total_score": s.total_score,
+                "calculated_at": s.calculated_at.isoformat(),
+                "trend": s.trend,
+            }
+            for s in scores
+        ],
+        "recent_reports": [
+            {
+                "period": f"{r.period_year}-{r.period_month:02d}",
+                "status": r.status,
+                "ai_summary": r.ai_summary,
+            }
+            for r in reports
+        ],
+        "risks": [
+            {
+                "title": r.title,
+                "severity": r.severity,
+                "status": r.status,
+                "type": r.type,
+                "description": r.description,
+            }
+            for r in risks
+        ],
+        "generated_at": datetime.now(timezone.utc).isoformat(),
+    }
+
+    return success(data=summary)
+
+
+@router.get("/{company_id}/pdf")
+async def export_pdf(
+    company_id: str,
+    db: AsyncSession = Depends(get_db),
+    user: User = Depends(get_current_user),
+):
+    """导出企业投后报告为 JSON 格式（前端可转 PDF）。
+
+    当前返回 JSON 格式的完整报告数据，前端可使用浏览器打印功能生成 PDF。
+    后续可集成 weasyprint 等库生成服务端 PDF。
+    """
+    # 复用 summary 逻辑
+    company_result = await db.execute(
+        select(Company).where(Company.id == company_id, Company.tenant_id == user.tenant_id)
+    )
+    company = company_result.scalar_one_or_none()
+    if not company:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="企业不存在")
+
+    # 获取数据（与 summary 相同逻辑）
+    reports_result = await db.execute(
+        select(MonthlyReport)
+        .where(MonthlyReport.company_id == company_id)
+        .order_by(MonthlyReport.period_year.desc(), MonthlyReport.period_month.desc())
+        .limit(12)
+    )
+    reports = reports_result.scalars().all()
+
+    score_result = await db.execute(
+        select(HealthScore)
+        .where(HealthScore.company_id == company_id)
+        .order_by(HealthScore.calculated_at.desc())
+        .limit(12)
+    )
+    scores = score_result.scalars().all()
+
+    risk_result = await db.execute(
+        select(RiskEvent)
+        .where(RiskEvent.company_id == company_id)
+        .order_by(RiskEvent.identified_at.desc())
+        .limit(20)
+    )
+    risks = risk_result.scalars().all()
+
+    report_data = {
+        "title": f"投后管理报告 — {company.name}",
+        "generated_at": datetime.now(timezone.utc).isoformat(),
+        "company": {
+            "name": company.name,
+            "industry": company.industry,
+            "stage": company.stage,
+            "description": company.description,
+        },
+        "health_scores": [
+            {
+                "total": s.total_score,
+                "financial": s.financial_score,
+                "operational": s.operational_score,
+                "ai_commercial": s.ai_commercial_score,
+                "ai_cost": s.ai_cost_score,
+                "trend": s.trend,
+                "date": s.calculated_at.isoformat(),
+            }
+            for s in scores
+        ],
+        "monthly_reports": [
+            {
+                "period": f"{r.period_year}年{r.period_month}月",
+                "status": r.status,
+                "summary": r.ai_summary,
+            }
+            for r in reports
+        ],
+        "risk_events": [
+            {
+                "title": r.title,
+                "severity": r.severity,
+                "status": r.status,
+                "description": r.description,
+                "suggested_action": r.suggested_action,
+            }
+            for r in risks
+        ],
+    }
+
+    # 返回可下载的 JSON 文件
+    json_str = json.dumps(report_data, ensure_ascii=False, indent=2)
+    from urllib.parse import quote
+    safe_name = quote(company.name)
+    return StreamingResponse(
+        iter([json_str.encode("utf-8")]),
+        media_type="application/json",
+        headers={
+            "Content-Disposition": f'attachment; filename="report_{safe_name}_{datetime.now().strftime("%Y%m%d")}.json"',
+        },
+    )