feat: KPI详情历史数据对齐元数据 — 目标值/偏差%/红黄绿判定/单位/数据批次

- 后端: get_kpi的values附带target_value/deviation_pct/level/score/unit
  判定对齐工作台语义: 正向≥0.9绿/≥0.7黄/否则红; 反向≤目标绿/≤1.1倍黄/否则红
- 前端: 历史数据表格新增目标值/偏差/判定列, 实际值带单位+红黄着色, 新增数据批次列
- 验证: 渠补率2月84%=黄(超5%), 5月88.3%=红(超10.4%), 收入全部red(远低于1200万目标)

backend/app/api/kpis.py

@@ -485,21 +485,52 @@ def get_kpi(kpi_id: int, db: Session = Depends(get_db), entity_id: int = Depends
     result = kpi_to_dict(kpi)
     # 附带历史数据（前端KPI详情"历史数据"Tab依赖）
     # 2026-08-26修复: 原实现只返回定义信息，values缺失导致历史数据Tab空白
+    # 2026-08-26增强: values对齐KPI元数据(目标值/偏差/红黄绿判定/单位)
     vals = db.query(KPIValue).filter(
         KPIValue.kpi_id == kpi_id,
         KPIValue.actual_value.isnot(None),
     ).order_by(KPIValue.period.asc()).all()
-    result["values"] = [
-        {
+    is_reverse = kpi.kpi_code in REVERSE_INDICATORS
+    target = kpi.target_value
+    result["values"] = []
+    for v in vals:
+        # 判定红黄绿（对齐工作台语义：正向≥0.9绿/≥0.7黄/否则红；反向≤目标绿/≤1.1倍黄/否则红）
+        level = "info"
+        score = None
+        if target and v.actual_value is not None:
+            if is_reverse:
+                if v.actual_value <= target:
+                    level = "green"
+                elif v.actual_value <= target * 1.1:
+                    level = "yellow"
+                else:
+                    level = "red"
+            else:
+                ratio = v.actual_value / target
+                if ratio >= 0.9:
+                    level = "green"
+                elif ratio >= 0.7:
+                    level = "yellow"
+                else:
+                    level = "red"
+            score, _ = _calc_five_tier_score(v.actual_value, target, is_reverse=is_reverse)
+        # 偏差率（相对目标）
+        deviation = None
+        if target and target != 0 and v.actual_value is not None:
+            deviation = round((v.actual_value - target) / target * 100, 1)
+        result["values"].append({
             "id": v.id,
             "period": v.period,
             "actual_value": v.actual_value,
+            "target_value": target,
+            "unit": kpi.unit or "",
+            "deviation_pct": deviation,
+            "level": level,
+            "score": score,
             "source_type": v.source_type,
             "data_status": v.data_status,
             "source_batch": v.source_batch,
-        }
-        for v in vals
-    ]
+        })
     return result