feat: refresh recommendation calibration from settled performance

platform/backend/app/analytics/daily_card_generator.py

@@ -135,6 +135,27 @@ RECENT_MARKET_CALIBRATION: dict[str, dict[str, Any]] = {
   },
 }
 
+_RUNTIME_MARKET_CALIBRATION: dict[str, dict[str, Any]] | None = None
+
+
+def update_runtime_market_calibration(market_calibration: dict[str, dict[str, Any]] | None) -> None:
+  """Update in-process market calibration from settled recommendation performance."""
+
+  global _RUNTIME_MARKET_CALIBRATION
+  if not market_calibration:
+    _RUNTIME_MARKET_CALIBRATION = None
+    return
+
+  cleaned: dict[str, dict[str, Any]] = {}
+  for market_type, calibration in market_calibration.items():
+    if not isinstance(calibration, dict):
+      continue
+    normalized_market = str(market_type or '').strip()
+    if not normalized_market:
+      continue
+    cleaned[normalized_market] = dict(calibration)
+  _RUNTIME_MARKET_CALIBRATION = cleaned or None
+
 
 def _safe_float(value: Any, default: float = 0.0) -> float:
   try:
@@ -546,10 +567,11 @@ def _recent_market_calibration(market_type: str) -> dict[str, Any] | None:
   """Return recent post-match market calibration for public recommendation safety."""
 
   normalized_market = str(market_type or '').strip()
-  if normalized_market in RECENT_MARKET_CALIBRATION:
-    return RECENT_MARKET_CALIBRATION[normalized_market]
+  calibration_source = _RUNTIME_MARKET_CALIBRATION or RECENT_MARKET_CALIBRATION
+  if normalized_market in calibration_source:
+    return calibration_source[normalized_market]
   if normalized_market.startswith('大小球 '):
-    return RECENT_MARKET_CALIBRATION.get(normalized_market)
+    return calibration_source.get(normalized_market)
   return None