JSON 직렬화 안정화

src/quant_engine/convert_xlsx_to_json.py

@@ -115,7 +115,7 @@ def clean_scalar(value: Any) -> Any:
         return None
     if isinstance(value, float) and math.isnan(value):
         return None
-    if isinstance(value, (pd.Timestamp, dt.datetime, dt.date)):
+    if isinstance(value, (pd.Timestamp, dt.datetime, dt.date, dt.time)):
         return value.isoformat()
     if hasattr(value, "item"):
         try:
@@ -125,6 +125,17 @@ def clean_scalar(value: Any) -> Any:
     return value
 
 
+def _json_default(value: Any) -> Any:
+    if isinstance(value, (pd.Timestamp, dt.datetime, dt.date, dt.time)):
+        return value.isoformat()
+    if hasattr(value, "item"):
+        try:
+            return _json_default(value.item())
+        except Exception:
+            pass
+    return str(value)
+
+
 def normalize_code(value: Any) -> str:
     value = clean_scalar(value)
     if value in (None, ""):
@@ -1585,7 +1596,7 @@ def convert_xlsx_to_json(xlsx_path: Path, output_path: Path) -> None:
         # Recompute checksum invariants after any blueprint mutation patch.
         result["data"]["_harness_context"] = ensure_extended_harness_defaults(result["data"]["_harness_context"])
 
-    output_path.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
+    output_path.write_text(json.dumps(result, ensure_ascii=False, indent=2, default=_json_default), encoding="utf-8")
     print(f"Conversion complete: {output_path}")