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db.py

@@ -1037,27 +1037,42 @@ def get_storage_stats():
 
 def list_uploads():
     """列出 uploads/ 所有檔案。上傳時間優先取 reports.created_at（持久值），
-    orphan 檔案才 fallback 到 file mtime。"""
+    orphan 檔案才 fallback 到 file mtime。每筆附 source ('PRA' / 'DSA')。
+    判定優先序：reports → dsa_reports → 檔名 (LS?A* / *PRA1* / *PRA2*) → 預設 PRA。"""
     d = get_upload_dir()
     files = list(d.glob('*.xls')) + list(d.glob('*.xlsx')) + list(d.glob('*.csv'))
     conn = get_conn()
-    rows = conn.execute("""SELECT upload_file, MAX(COALESCE(updated_at, created_at)) as ts
-                           FROM reports WHERE upload_file != ''
-                           GROUP BY upload_file""").fetchall()
+    pra_rows = conn.execute("""SELECT upload_file, MAX(COALESCE(updated_at, created_at)) as ts
+                               FROM reports WHERE upload_file != ''
+                               GROUP BY upload_file""").fetchall()
+    dsa_rows = conn.execute("""SELECT upload_file, MAX(COALESCE(updated_at, created_at)) as ts
+                               FROM dsa_reports WHERE upload_file != ''
+                               GROUP BY upload_file""").fetchall()
     conn.close()
-    upload_times = {r['upload_file']: r['ts'] for r in rows if r['upload_file']}
+    pra_times = {r['upload_file']: r['ts'] for r in pra_rows if r['upload_file']}
+    dsa_times = {r['upload_file']: r['ts'] for r in dsa_rows if r['upload_file']}
+
+    def classify(name):
+        if name in pra_times: return 'PRA'
+        if name in dsa_times: return 'DSA'
+        u = name.upper()
+        if 'LS1A' in u or 'LS2A' in u: return 'DSA'
+        if 'PRA1' in u or 'PRA2' in u: return 'PRA'
+        return 'PRA'
+
     out = []
     for f in files:
         st = f.stat()
-        ts = upload_times.get(f.name)
+        ts = pra_times.get(f.name) or dsa_times.get(f.name)
         if not ts:
             ts = datetime.fromtimestamp(st.st_mtime).strftime('%Y-%m-%d %H:%M')
         else:
-            ts = ts[:16]  # YYYY-MM-DD HH:MM
+            ts = ts[:16]
         out.append({
             'name': f.name,
             'size_kb': round(st.st_size / 1024, 1),
             'mtime': ts,
+            'source': classify(f.name),
         })
     out.sort(key=lambda x: x['mtime'], reverse=True)
     return out