feat(pipeline): todos 补「因子晋级评审候选」源——触点②另一半上板(assessable 且近窗 t≥REVIEW_T_GATE=2,与评审页下拉同门);待办板「N 件等你决策」与评审页待办同口径,修三矛盾②(评审页等五问/待办却 0 件) [vps] [no-doc]

sanguo_api/routes_pipeline.py

@@ -78,6 +78,11 @@ def _monthly_dir() -> str:
                           os.path.join("reports", "factor_monthly"))
 
 
+# 因子晋级评审门:近窗 t≥2 才值得人评五问(与前端 PromotionReview 的
+# promotionFilter.REVIEW_T_GATE 同值镜像,改门须两处同改+spec 注记)
+REVIEW_T_GATE = 2.0
+
+
 def _replay_view(doc: dict | None) -> dict:
     """verdict_replay.json → 前端 replay 形状;无历史触发点 → 功课累积提示."""
     from sanguo_portfolio import verdict_records
@@ -299,6 +304,29 @@ def todos() -> dict:
                           "detail": f"周数 {weeks}/{shadow_total_weeks(e)}",
                           "path": "/pipeline/incubation", "severity": "warn",
                           "updatedAt": now})
+    # ①′ 因子晋级评审候选(触点②另一半,10-08 补源):可判且近窗 t≥2
+    #    = 评审页下拉同门——待办板与评审页从此同口径,「N 件等你决策」说真话
+    from sanguo_factor import version_registry as vr
+    from sanguo_portfolio.strategy_registry import ensure_runtime_registry
+    try:
+        freg = vr.load_registry(ensure_runtime_registry(
+            _factor_registry_path(),
+            os.path.join("config", "factor_registry.yaml")))
+        points, _ = _eval_latest_points()
+        for fname, fe in freg["factors"].items():
+            if fe.get("status") != "assessable":
+                continue
+            t = (points.get(fname) or {}).get("t")
+            if t is None or t < REVIEW_T_GATE:
+                continue
+            items.append({"id": f"review-{fname}", "touchpoint": "promotion",
+                          "title": f"{fname} 待晋级评审(五问)",
+                          "detail": f"可判且近窗 t={t:.2f}≥{REVIEW_T_GATE:.0f},"
+                                    "评审页等你判定",
+                          "path": "/pipeline/review", "severity": "warn",
+                          "updatedAt": now})
+    except Exception:  # noqa: BLE001 注册表/eval 库异常不拖垮待办聚合
+        pass
     # ② 因子衰减告警+③ 集体水位(本机最新月度批评 JSON;最新有效 JSON,损坏跳过)
     from sanguo_factor.verdict_replay import load_latest_monthly
     rep = load_latest_monthly(_monthly_dir())