fix(rectification): split D4/D5 stages and recast after adopt

Keep family on D12+D7 instead of mixing it into D4, score D5 on education, and show a natal recast plus technique audit after adopt without unique-minute claims.

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

scripts/rectification/decision_policy.py

@@ -40,6 +40,105 @@ def _decimal(value: Any, default: str = "0") -> Decimal:
         return Decimal(default)
 
 
+_AUDIT_LABELS = {
+    "d1-rashi": ("D1 本命盘", "本轮已按该分钟重算本命宫位。"),
+    "d2-hora": ("D2 财帛分盘", "本轮已对照财帛主题。"),
+    "d4-chaturthamsha": ("D4 迁移分盘", "本轮已对照居所或迁移。"),
+    "d5-panchamsha": ("D5 成就分盘", "本轮已对照学业或被委以责任的变化。"),
+    "d7-saptamsha": ("D7 子女分盘", "本轮已对照子女或伴侣细节。"),
+    "d9-navamsa": ("D9 婚姻分盘", "本轮已对照关系主题，未给类型标签。"),
+    "d10-dashamsa": ("D10 事业分盘", "本轮已对照事业主题，未给类型标签。"),
+    "d11-labhamsha": ("D11 收益分盘", "本轮已对照收益主题。"),
+    "d12-dwadashamsha": ("D12 父母分盘", "本轮已对照家人主题。"),
+    "d24-chaturvimshamsha": ("D24 教育分盘", "本轮已对照学业主题。"),
+    "d30-trimshamsha": ("D30 健康压力分盘", "本轮已对照健康压力主题。"),
+    "vimshottari-dasha": ("Vimshottari", "本轮已对照主限。"),
+    "narayana-dasha": ("Narayana", "本轮已对照分盘大运。"),
+    "gochara": ("Gochara", "本轮已做受控行运辅助对照。"),
+    "ashtakavarga": ("Ashtakavarga", "本轮已做 Ashtakavarga 辅助对照。"),
+    "shadbala": ("Shadbala", "本轮已做已核验的 Shadbala 分量辅助对照。"),
+    "arudha-pada": ("Arudha Pada", "本轮已做 Arudha 辅助对照。"),
+    "functional-benefic-malefic": ("功能吉凶星", "本轮已叠加本命功能吉凶星。"),
+}
+
+
+def natal_recast_copy(time: str, lagna: str) -> dict[str, Any]:
+    return {
+        "time": time[:5],
+        "lagna": lagna,
+        "user_meaning": (
+            f"本命宫位已按 {time[:5]} 重算（上升 {lagna}）。"
+            "下面是本轮实际执行的技法，不能当作唯一分钟确认。"
+        ),
+        "unique_minute_claim": False,
+        "confirmation_allowed": False,
+    }
+
+
+def _executed_public_methods(built: dict[str, Any]) -> list[str]:
+    methods: set[str] = set()
+    for contributions in (built.get("matrix") or {}).values():
+        if not isinstance(contributions, dict):
+            continue
+        for cell in contributions.values():
+            if not isinstance(cell, dict):
+                continue
+            for layer in cell.get("technique_layers") or []:
+                if layer in _AUDIT_LABELS:
+                    methods.add(str(layer))
+            for rule in cell.get("rule_ids") or []:
+                text = str(rule)
+                if text.startswith("vim_"):
+                    methods.add("vimshottari-dasha")
+                elif text.startswith("narayana_"):
+                    methods.add("narayana-dasha")
+                elif "functional_benefic" in text or "functional_malefic" in text:
+                    methods.add("functional-benefic-malefic")
+                elif text.startswith("gochara") or "controlled_transit" in text:
+                    methods.add("gochara")
+                elif "ashtakavarga" in text:
+                    methods.add("ashtakavarga")
+                elif "shadbala" in text:
+                    methods.add("shadbala")
+                elif "arudha" in text:
+                    methods.add("arudha-pada")
+    return [key for key in _AUDIT_LABELS if key in methods]
+
+
+def build_technique_audit(
+    built: dict[str, Any],
+    *,
+    house_table: dict[str, Any] | None,
+) -> list[dict[str, str]]:
+    executed = set(_executed_public_methods(built))
+    if house_table:
+        executed.add("d1-rashi")
+    rows: list[dict[str, str]] = []
+    for method in _AUDIT_LABELS:
+        if method not in executed:
+            continue
+        label, note = _AUDIT_LABELS[method]
+        rows.append({"technique": label, "status": "executed", "note": note})
+    rows.append({
+        "technique": "KP 宫头",
+        "status": "blocked",
+        "note": "KP 宫头本轮未计算。",
+    })
+    rows.extend((
+        {
+            "technique": "VedAstro 分钟级校验",
+            "status": "blocked",
+            "note": "官方分钟级校验尚未评估。",
+        },
+        {
+            "technique": "唯一分钟确认",
+            "status": "blocked",
+            "note": "采用不等于确认唯一分钟。",
+        },
+    ))
+    return rows
+
+
 def _quantized_score(row: CandidateScoreRow) -> Decimal:
     return _decimal(row.get("score")).quantize(SCORE_QUANTUM, rounding=ROUND_HALF_UP)
 
@@ -263,12 +362,22 @@ def build_decision_receipt(
             "exact_confirmation": exact_confirmation,
         },
     }
-    house_table = compact_house_table_from_contexts(
+    house_tables_by_time: dict[str, dict[str, Any]] = {}
+    for decision in candidate_decisions:
+        table = compact_house_table_from_contexts(built.get("static_contexts"), decision.get("time"))
+        if table:
+            house_tables_by_time[table["time"]] = table
+    house_table = house_tables_by_time.get(representative["time"] if representative else "") or compact_house_table_from_contexts(
         built.get("static_contexts"),
         representative["time"] if representative else None,
     )
     if house_table:
         receipt["house_table"] = house_table
+        recast = natal_recast_copy(house_table["time"], house_table["lagna"])
+        receipt["natal_recast"] = recast
+    if house_tables_by_time:
+        receipt["house_tables_by_time"] = house_tables_by_time
+    receipt["technique_audit_table"] = build_technique_audit(built, house_table=house_table)
     receipt.update({
         "window_scan": packet["window_scan"],
         "event_dasha_ledger": packet["event_dasha_ledger"],