fix: The tool in the application export loop body has not been exported (#4177)

Author: shaohuzhang1

apps/application/serializers/application.py

@@ -683,7 +683,10 @@ def export(self, with_valid=True):
             application = QuerySet(Application).filter(id=application_id).first()
             tool_id_list = [node.get('properties', {}).get('node_data', {}).get('tool_lib_id') for node
                             in
-                            application.work_flow.get('nodes', []) if
+                            application.work_flow.get('nodes', []) + reduce(lambda x, y: [*x, *y], [
+                                n.get('properties', {}).get('node_data', {}).get('loop_body', {}).get('nodes', []) for n
+                                in
+                                application.work_flow.get('nodes', []) if n.get('type') == 'loop-node'], []) if
                             node.get('type') == 'tool-lib-node']
             tool_list = []
             if len(tool_id_list) > 0:
@@ -760,7 +763,7 @@ def publish(self, instance, with_valid=True):
         work_flow_version.save()
         access_token = hashlib.md5(
             str(uuid.uuid7()).encode()).hexdigest()[
-            8:24]
+                       8:24]
         application_access_token = QuerySet(ApplicationAccessToken).filter(
             application_id=application.id).first()
         if application_access_token is None:
@@ -965,7 +968,8 @@ def speech_to_text(self, instance, debug=True, with_valid=True):
             application = QuerySet(ApplicationVersion).filter(application_id=application_id).order_by(
                 '-create_time').first()
         if application.stt_model_enable:
-            model = get_model_instance_by_model_workspace_id(application.stt_model_id, application.workspace_id, **application.stt_model_params_setting)
+            model = get_model_instance_by_model_workspace_id(application.stt_model_id, application.workspace_id,
+                                                             **application.stt_model_params_setting)
             text = model.speech_to_text(instance.get('file'))
             return text