From dac4a3bda2b2f1a66e06b3d5a5f351fb79ac4215 Mon Sep 17 00:00:00 2001
From: htlee <htlee@gcsc.co.kr>
Date: Thu, 9 Apr 2026 07:56:04 +0900
Subject: [PATCH] =?UTF-8?q?fix(prediction):=20features=20JSONB=20=EC=A4=91?=
 =?UTF-8?q?=EC=B2=A9=20=EA=B5=AC=EC=A1=B0=20sanitize?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

AnalysisResult.to_db_tuple이 기존에 features dict 값을 모두 float로
변환했는데, dark_suspicion 구조를 넣으면서 dark_patterns(list) 등
비스칼라 타입이 포함되어 upsert 실패 (float argument not a list).

_sanitize 재귀 함수로 JSON 호환 타입(str/int/float/bool/list/dict/None)을
그대로 보존하도록 변경.
---
 prediction/models/result.py | 20 ++++++++++++++++++--
 1 file changed, 18 insertions(+), 2 deletions(-)

diff --git a/prediction/models/result.py b/prediction/models/result.py
index bb7a69c..ae439e7 100644
--- a/prediction/models/result.py
+++ b/prediction/models/result.py
@@ -70,8 +70,24 @@ class AnalysisResult:
             """numpy int → Python int 변환."""
             return int(v) if v is not None else 0
 
-        # features dict 내부 numpy 값도 변환
-        safe_features = {k: float(v) for k, v in self.features.items()} if self.features else {}
+        # features dict 내부 numpy 값도 변환 (재귀적 처리)
+        # int/float/bool/str/None/list/dict 모두 허용 (JSON 호환 타입만 유지)
+        def _sanitize(v):
+            if v is None or isinstance(v, (str, bool)):
+                return v
+            if isinstance(v, (int, float)):
+                return float(v) if isinstance(v, float) else int(v)
+            if isinstance(v, dict):
+                return {str(k): _sanitize(val) for k, val in v.items()}
+            if isinstance(v, (list, tuple)):
+                return [_sanitize(x) for x in v]
+            # numpy 스칼라 등은 float 변환 시도, 실패 시 str
+            try:
+                return float(v)
+            except (TypeError, ValueError):
+                return str(v)
+
+        safe_features = _sanitize(self.features) if self.features else {}
 
         return (
             str(self.mmsi),