Speed up rectification scoring without changing results.

Cache work that depends only on the candidate minute, drop unread response fields, and reject windows above 241 candidates before any chart is built. Eleven canonical scenario hashes match 77057a819. Sealed and reported-offset replays match the 2026-10-08 records (changed_trial_count 8 and 581) and are stored as scoring_perf_2026_10_13.

Co-Authored-By: Grok (agent loop)

scripts/active_rectification_event_engine.py

@@ -127,6 +127,7 @@ def _active_narayana(
     birth_at: datetime,
     event_at: datetime,
     periods: list[dict[str, Any]] | None = None,
+    antardasha_by_md: dict[int, list[dict[str, Any]]] | None = None,
 ) -> tuple[int | None, int | None]:
     if periods is None:
         periods = narayana_dasha.calc_narayana_mahadasha(
@@ -134,10 +135,30 @@ def _active_narayana(
             planet_longitudes,
         )
     age = max((event_at - birth_at).total_seconds() / (365.2425 * 86_400), 0.0)
-    active = narayana_dasha.get_current_narayana_dasha(periods, age)
-    major = active.get("md") or {}
-    minor = active.get("ad") or {}
-    return major.get("sign_idx"), minor.get("sign_idx")
+    if antardasha_by_md is None:
+        active = narayana_dasha.get_current_narayana_dasha(periods, age)
+        major = active.get("md") or {}
+        minor = active.get("ad") or {}
+        return major.get("sign_idx"), minor.get("sign_idx")
+    # BUG-1324: same MD/AD lookup as narayana_dasha.get_current_narayana_dasha
+    # lines 769-800 (total_cycle, cycle_start, age_in_cycle, MD loop, AD loop).
+    # PD (lines 801-812) is unused by scoring and is not computed here.
+    if not periods:
+        return None, None
+    total_cycle = sum(p["years"] for p in periods)
+    if total_cycle == 0:
+        return None, None
+    cycle_start = min(float(p.get("start_age", 0)) for p in periods)
+    age_in_cycle = ((age - cycle_start) % total_cycle) + cycle_start
+    for period in periods:
+        if period["start_age"] <= age_in_cycle < period["end_age"]:
+            md_sign = period.get("sign_idx")
+            ads = antardasha_by_md.get(period["sign_idx"]) or []
+            for ad in ads:
+                if ad["start_age"] <= age_in_cycle < ad["end_age"]:
+                    return md_sign, ad.get("sign_idx")
+            return md_sign, None
+    return None, None
 
 
 def _varga_chart(charts: dict, prefix: str) -> dict | None:
@@ -198,13 +219,15 @@ def _score_event(
     vimshottari: tuple[str, str, str],
     narayana: tuple[int | None, int | None],
     arudha_padas: dict,
+    functional: dict | None = None,
 ) -> CandidateEvidence:
     _, target_houses = DOMAIN_CONFIG[event["domain"]]
     ascendant_index = int(natal_chart["ascendant"]["lon"] // 30)
     target_lords = _house_lords(ascendant_index, target_houses)
-    functional = functional_benefics.derive_functional_benefic_malefic(
-        natal_chart["ascendant"].get("sign")
-    )
+    if functional is None:
+        functional = functional_benefics.derive_functional_benefic_malefic(
+            natal_chart["ascendant"].get("sign")
+        )
     functional_benefics_set = set(functional.get("functional_benefics") or [])
     functional_malefics_set = set(functional.get("functional_malefics") or [])
     major_lord, minor_lord, pratyantar_lord = vimshottari
@@ -542,6 +565,18 @@ def build_candidate_static_context(
         )
     except (KeyError, TypeError, ValueError):
         narayana_periods = None
+    functional_profile = functional_benefics.derive_functional_benefic_malefic(
+        chart["ascendant"].get("sign")
+    )
+    narayana_antardasha_by_md = None
+    if narayana_periods:
+        narayana_antardasha_by_md = {
+            period["sign_idx"]: narayana_dasha.calc_narayana_antardasha(
+                narayana_periods,
+                period["sign_idx"],
+            )
+            for period in narayana_periods
+        }
 
     birth_info = chart.get("birth_info") if isinstance(chart.get("birth_info"), dict) else {}
     kp_snapshot = observe_kp_cusps(
@@ -595,6 +630,8 @@ def build_candidate_static_context(
         "shadbala_result": shadbala_result,
         "vimshottari_timeline": vimshottari_timeline,
         "narayana_periods": narayana_periods,
+        "functional_profile": functional_profile,
+        "narayana_antardasha_by_md": narayana_antardasha_by_md,
     }
 
 
@@ -649,6 +686,7 @@ def _candidate_row(
                 candidate_at,
                 event_at,
                 context.get("narayana_periods"),
+                context.get("narayana_antardasha_by_md"),
             )
         except (KeyError, TypeError, ValueError):
             missing_layers.append("Narayana_MD_AD")
@@ -664,6 +702,7 @@ def _candidate_row(
             vimshottari=vimshottari,
             narayana=narayana,
             arudha_padas=arudha_padas,
+            functional=context.get("functional_profile"),
         ))
         transit_rules = _controlled_transit_rules(
             request,