feat: 复盘四周期手动上传，移除 AI 识别预填

固定 5m/15m/1h/4h 四槽截图上传与详情四宫格展示；自动 K 线默认关闭且与手动上传互斥。

Co-authored-by: Cursor <cursoragent@cursor.com>

lib/ai/ai_review_lib.py

@@ -12,6 +12,7 @@ from lib.instance.journal_chart_lib import (
     JOURNAL_CHART_DEFAULT_TF2,
     normalize_chart_timeframe,
 )
+from lib.instance.journal_images_lib import journal_image_paths
 
 
 def _journal_nz(v: Any, default: str = "无") -> str:
@@ -92,32 +93,31 @@ def collect_images_for_ai_review(
 ) -> List[str]:
     """
     收集传给视觉模型的本地图片路径。
-    - 优先 journal_entries.image 已存附图；
+    - 优先 journal_entries.images_json / image 已存附图（含多周期手动上传）；
     - 若无附图且提供 build_chart_if_missing，则临时生成 K 线图。
     """
     paths: List[str] = []
     seen = set()
     upload_folder = os.path.abspath(upload_folder or "")
     for row in rows or []:
-        candidate = None
-        try:
-            keys = row.keys() if hasattr(row, "keys") else []
-        except Exception:
-            keys = []
-        img = row["image"] if "image" in keys else None
-        if img:
-            candidate = os.path.join(upload_folder, str(img).strip())
-        elif build_chart_if_missing:
+        row_paths = journal_image_paths(row, upload_folder)
+        if row_paths:
+            for candidate in row_paths:
+                if candidate not in seen:
+                    seen.add(candidate)
+                    paths.append(candidate)
+            continue
+        if build_chart_if_missing:
             try:
                 candidate = build_chart_if_missing(row)
             except Exception:
                 candidate = None
-        if not candidate:
-            continue
-        candidate = os.path.abspath(candidate)
-        if os.path.isfile(candidate) and candidate not in seen:
-            seen.add(candidate)
-            paths.append(candidate)
+            if not candidate:
+                continue
+            candidate = os.path.abspath(candidate)
+            if os.path.isfile(candidate) and candidate not in seen:
+                seen.add(candidate)
+                paths.append(candidate)
     return paths