fix(rectification): ask finance and health, show Bhava and Pranapada

Interviews skipped D2/D11 and D30 unless the user volunteered them, so those scoring layers almost never ran. Ask them after family, keep relocation out of rotation, and display Bhava/Pranapada transitions without delaying adopt.

Co-authored-by: Cursor <cursoragent@cursor.com>

tests/test_rectification_family_appearance_scoring.py

@@ -165,6 +165,7 @@ def test_family_event_engine_rows_include_d12_and_are_not_skipped() -> None:
     assert all(context["varga_charts"]["D3"] is not None for context in contexts)
     assert all(isinstance(context["feature"].get("pada_index"), int) for context in contexts)
     assert all(0 <= context["feature"]["pada_index"] <= 107 for context in contexts)
+    assert all(isinstance(context["feature"].get("bhava_sign_index"), int) for context in contexts)
     rows = compute_event_candidate_rows(request, static_contexts=contexts)
     assert [row["time"] for row in rows] == ["05:13", "05:14"]
     for row in rows:
@@ -193,5 +194,9 @@ def test_family_event_engine_rows_include_d12_and_are_not_skipped() -> None:
     assert "d3-drekkana" in family_layers
     education_layers = public_technique_layers("education", ["vim_md_domain_house"])
     assert "d5-panchamsha" in education_layers and "d24-chaturvimshamsha" in education_layers
+    finance_layers = public_technique_layers("finance", ["vim_md_domain_house"])
+    assert "d2-hora" in finance_layers and "d11-labhamsha" in finance_layers
+    health_layers = public_technique_layers("health_pressure", ["vim_md_domain_house"])
+    assert "d30-trimshamsha" in health_layers
     assert all("D10" in context["feature"]["available_layers"] for context in contexts)
     assert all("D5" in context["feature"]["available_layers"] for context in contexts)

tests/test_rectification_refinement_packet.py

@@ -23,10 +23,15 @@ def feature(
     d7: int | None = None,
     d12: int | None = None,
     d24: int | None = None,
+    d2: int | None = None,
+    d11: int | None = None,
+    d30: int | None = None,
     degree: float | None = None,
     pada: int | None = None,
     hora: int | None = None,
     ghati: int | None = None,
+    bhava: int | None = None,
+    pranapada: int | None = None,
 ) -> dict:
     vargas = {}
     if d9 is not None:
@@ -43,6 +48,12 @@ def feature(
         vargas["D12"] = d12
     if d24 is not None:
         vargas["D24"] = d24
+    if d2 is not None:
+        vargas["D2"] = d2
+    if d11 is not None:
+        vargas["D11"] = d11
+    if d30 is not None:
+        vargas["D30"] = d30
     row: dict = {"time": time, "varga_ascendants": vargas}
     if d1 is not None:
         row["ascendant_sign_index"] = d1
@@ -54,6 +65,10 @@ def feature(
         row["hora_sign_index"] = hora
     if ghati is not None:
         row["ghati_sign_index"] = ghati
+    if bhava is not None:
+        row["bhava_sign_index"] = bhava
+    if pranapada is not None:
+        row["pranapada_sign_index"] = pranapada
     return {"feature": row}
 
 
@@ -152,6 +167,39 @@ class RefinementPacketTest(unittest.TestCase):
         self.assertFalse(scan["confirmation_allowed"])
         self.assertEqual(precision_stage(scan, 2)["current"], "d5_refine")
 
+    def test_window_scan_reports_finance_health_and_bhava_without_delaying_adopt(self):
+        scan = window_scan({
+            "static_contexts": [
+                feature("05:13", d1=1, d2=2, d11=4, d30=6, bhava=1, hora=2, ghati=6, pranapada=8),
+                feature("05:14", d1=1, d2=3, d11=4, d30=7, bhava=2, hora=2, ghati=6, pranapada=8),
+            ]
+        })
+        self.assertTrue(scan["d2_candidates_differ"])
+        self.assertFalse(scan["d11_candidates_differ"])
+        self.assertTrue(scan["d30_candidates_differ"])
+        self.assertTrue(scan["bhava_candidates_differ"])
+        self.assertFalse(scan["pranapada_candidates_differ"])
+        meanings = [item["user_meaning"] for item in scan["transitions"]]
+        self.assertIn("D2 在 05:14 发生变化", meanings)
+        self.assertIn("D30 在 05:14 发生变化", meanings)
+        self.assertIn("Bhava Lagna 在 05:14 发生变化", meanings)
+        self.assertNotIn("Pranapada Lagna 在 05:14 发生变化", meanings)
+        self.assertEqual(precision_stage(scan, 2)["current"], "ready_to_adopt")
+        self.assertFalse(scan["unique_minute_claim"])
+        pranapada_scan = window_scan({
+            "static_contexts": [
+                feature("05:13", d1=1, d11=4, pranapada=8),
+                feature("05:14", d1=1, d11=5, pranapada=9),
+            ]
+        })
+        self.assertTrue(pranapada_scan["d11_candidates_differ"])
+        self.assertTrue(pranapada_scan["pranapada_candidates_differ"])
+        self.assertIn(
+            "Pranapada Lagna 在 05:14 发生变化",
+            [item["user_meaning"] for item in pranapada_scan["transitions"]],
+        )
+        self.assertEqual(precision_stage(pranapada_scan, 2)["current"], "ready_to_adopt")
+
     def test_packet_ledger_oos_and_nakshatra_without_scores(self):
         request = request_events()
         built = {