feat: v0.9 样板数据完整性验证/解析加固/报表统计

- 双源确认样板库完整性: search接口与画图编辑器for_ht目录均为254条, 0遗漏
- 全量体检: 6套样板含7个畸形段(缺ps/pe)导致解析报错
  前后端重放/算料统一加固过滤, 254样板0异常/1046窗格
- 报表统计模块(/chart): 近N天订单数金额按日柱图+8项总量+状态分布
- 样板库官方/我的样板双Tab(is_default过滤)
- 使用指南接入帮助文章接口(种子8篇), seed分类树幂等修复
- 全接口回归18/18通过

src/huamenchuang/api/reports.py

@@ -0,0 +1,53 @@
+"""报表统计路由（对齐原站 /chart 报表）。"""
+from datetime import datetime, timedelta
+
+from fastapi import APIRouter
+from sqlalchemy import func, select
+
+from huamenchuang.core.deps import CurrentUser, DbSession
+from huamenchuang.core.response import ok
+from huamenchuang.models.business import AfterSale, MeasureOrder, Quotation
+from huamenchuang.models.contract import Contract, Customer
+from huamenchuang.models.order import Order
+
+router = APIRouter(prefix="/reports", tags=["报表"])
+
+
+@router.get("/summary")
+async def summary(user: CurrentUser, db: DbSession, days: int = 14):
+    """经营汇总：近 N 天订单数/金额按日 + 各实体总数。"""
+    since = datetime.utcnow() - timedelta(days=days)
+    cid = user.company_id
+
+    # 按日订单数与金额
+    day_rows = (await db.execute(
+        select(func.date(Order.created_at), func.count(), func.sum(Order.money))
+        .where(Order.company_id == cid, Order.created_at >= since)
+        .group_by(func.date(Order.created_at))
+    )).all()
+    by_day = [{"date": str(d), "count": c, "money": float(m or 0)} for d, c, m in day_rows]
+
+    async def count(model, extra=None):
+        conds = [model.company_id == cid]
+        if extra is not None:
+            conds.append(extra)
+        return (await db.execute(select(func.count()).select_from(model).where(*conds))).scalar_one()
+
+    totals = {
+        "orders": await count(Order),
+        "intentions": await count(Order, Order.status == 0),
+        "finished": await count(Order, Order.status == 3),
+        "quotations": await count(Quotation),
+        "customers": await count(Customer),
+        "contracts": await count(Contract),
+        "measures": await count(MeasureOrder),
+        "after_sales": await count(AfterSale, AfterSale.status != 2),
+    }
+
+    # 订单状态分布
+    status_rows = (await db.execute(
+        select(Order.status, func.count()).where(Order.company_id == cid).group_by(Order.status)
+    )).all()
+    status_dist = [{"status": s, "count": c} for s, c in status_rows]
+
+    return ok(data={"by_day": by_day, "totals": totals, "status_dist": status_dist, "days": days})