From 79259d004b18f614e4aae13a1a119e3e6b13c4ac Mon Sep 17 00:00:00 2001
From: thug0bin <thug0bin@users.noreply.git.0bin.in>
Date: Tue, 3 Mar 2026 00:31:42 +0900
Subject: [PATCH] =?UTF-8?q?fix:=20AI=20=EC=B6=94=EC=B2=9C=20=EC=9D=B4?=
 =?UTF-8?q?=EB=AF=B8=EC=A7=80=20=EC=A1=B0=ED=9A=8C=20=EC=8B=9C=20sqlite3?=
 =?UTF-8?q?=20import=20=EB=88=84=EB=9D=BD=20=EC=88=98=EC=A0=95?=
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- sqlite3 모듈 import 추가
- 디버그 로그 추가
---
 backend/app.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/backend/app.py b/backend/app.py
index 576cfcc..c8f2238 100644
--- a/backend/app.py
+++ b/backend/app.py
@@ -23,6 +23,7 @@ from sqlalchemy import text
 from dotenv import load_dotenv
 import json
 import time
+import sqlite3
 from pathlib import Path
 
 # 환경 변수 로드 (명시적 경로)
@@ -2413,11 +2414,13 @@ def api_get_recommendation(user_id):
     product_image = None
     try:
         img_db_path = os.path.join(os.path.dirname(__file__), 'db', 'product_images.db')
+        logging.info(f"[AI추천] 이미지 DB 경로: {img_db_path}")
         img_conn = sqlite3.connect(img_db_path)
         img_conn.row_factory = sqlite3.Row
         img_cursor = img_conn.cursor()
         
         product_name = rec['recommended_product']
+        logging.info(f"[AI추천] 검색할 제품명: {product_name}")
         # 제품명으로 이미지 검색 (LIKE 검색으로 부분 매칭)
         img_cursor.execute("""
             SELECT thumbnail_base64 FROM product_images
@@ -2427,6 +2430,9 @@ def api_get_recommendation(user_id):
         img_row = img_cursor.fetchone()
         if img_row:
             product_image = img_row['thumbnail_base64']
+            logging.info(f"[AI추천] 이미지 찾음: {len(product_image)} bytes")
+        else:
+            logging.info(f"[AI추천] 이미지 없음 (제품: {product_name})")
         img_conn.close()
     except Exception as e:
         logging.warning(f"[AI추천] 제품 이미지 조회 실패: {e}")