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]

2026-10-08 10:15:50 +08:00
parent 196e046187
commit 118c9dfa57
2 changed files with 81 additions and 0 deletions
@@ -612,3 +612,56 @@ def test_attribution_factor_contribution_missing_file(client, token, env):
    # env 注入目录存在但空 → [];目录整个不存在同路径 fail-soft 返 [] 不 500
    doc = client.get("/api/v1/pipeline/attribution", headers=_h(token)).json()
    assert doc["factorContribution"] == []
+
+
+def test_todos_factor_review_candidates(client, token, env, tmp_path, monkeypatch):
+    # 三矛盾②:触点②补源——assessable 且近窗 t≥2 → 待办「待晋级评审」;
+    # 无 IC 数据/t 不显著/非 assessable 一律不上板(与评审页下拉同门)
+    monkeypatch.setenv("SANGUO_FACTOR_REGISTRY",
+                       str(tmp_path / "factor_registry.yaml"))
+    with open(tmp_path / "factor_registry.yaml", "w", encoding="utf-8") as f:
+        yaml.safe_dump({"factors": {
+            "fa_hot": {"name": "fa_hot", "hypothesis": "H-1",
+                       "status": "assessable", "versions": []},
+            "fa_nodata": {"name": "fa_nodata", "hypothesis": "H-2",
+                          "status": "assessable", "versions": []},
+            "fa_weak": {"name": "fa_weak", "hypothesis": "H-3",
+                        "status": "assessable", "versions": []},
+            "fa_prom": {"name": "fa_prom", "hypothesis": "H-4",
+                        "status": "promoted", "promotion_t": 3.0,
+                        "versions": []},
+        }}, f, allow_unicode=True)
+    monkeypatch.setenv("SANGUO_FACTOR_EVAL_DB",
+                       str(tmp_path / "no_such_eval.db"))
+    from datetime import date
+    from sanguo_api.routes_pipeline import set_pipeline_eval_db_path
+    from sanguo_factor import eval_store
+    inj_db = str(tmp_path / "factor_eval.db")
+    eval_store.init_db(inj_db)
+    end = date.today().isoformat()
+    run_id = eval_store.create_run(inj_db, "monthly_2026-09", "sz", 10, 1,
+                                   "2025-10-01", end, {})
+    eval_store.save_results(inj_db, run_id, [
+        {"factor": "fa_hot", "category": "fundamental", "expression": "x",
+         "metrics": {"1": {"t_stat": 3.4, "ic_mean": 0.03, "count": 240}}},
+        {"factor": "fa_weak", "category": "fundamental", "expression": "y",
+         "metrics": {"1": {"t_stat": -0.2, "ic_mean": 0.001, "count": 240}}},
+    ])
+    eval_store.finish_run(inj_db, run_id, "done", 1)
+    set_pipeline_eval_db_path(inj_db)
+    try:
+        r = client.get("/api/v1/pipeline/todos", headers=_h(token))
+        assert r.status_code == 200
+        items = r.json()["items"]
+        rev = [i for i in items if i["id"] == "review-fa_hot"]
+        assert len(rev) == 1
+        assert rev[0]["touchpoint"] == "promotion"
+        assert rev[0]["path"] == "/pipeline/review"
+        assert rev[0]["severity"] == "warn"
+        assert "3.40" in rev[0]["detail"] or "3.4" in rev[0]["detail"]
+        ids = [i["id"] for i in items]
+        assert "review-fa_nodata" not in ids   # 无 IC 数据不上板
+        assert "review-fa_weak" not in ids     # t<2 不上板
+        assert "review-fa_prom" not in ids     # 非 assessable 不上板
+    finally:
+        set_pipeline_eval_db_path("")