perf: 优化历史数据分词处理兜底操作 (#313)

apps/embedding/migrations/0002_embedding_search_vector.py

@@ -18,6 +18,7 @@ def update_embedding_search_vector(embedding, paragraph_list):
 
 
 def save_keywords(apps, schema_editor):
+    try:
         document = apps.get_model("dataset", "Document")
         embedding = apps.get_model("embedding", "Embedding")
         paragraph = apps.get_model('dataset', 'Paragraph')
@@ -39,6 +40,8 @@ def save_keywords(apps, schema_editor):
                     print(e)
             document.status = Status.success
             document.save()
+    except Exception as e:
+        print(e)
 
 
 class Migration(migrations.Migration):