chore: fit more competition (#723)

1. Remove potential <code> tags from the generated code.
2. Use return codes in data_loader, feature, and model.
3. Configure the debug timeout.

rdagent/components/coder/data_science/raw_data_loader/eval.py

@@ -23,7 +23,6 @@ DataLoaderEvalFeedback = CoSTEERSingleFeedback
 
 
 class DataLoaderCoSTEEREvaluator(CoSTEEREvaluator):
-
     def evaluate(
         self,
         target_task: Task,
@@ -32,7 +31,6 @@ class DataLoaderCoSTEEREvaluator(CoSTEEREvaluator):
         queried_knowledge: CoSTEERQueriedKnowledgeV2 = None,
         **kwargs,
     ) -> DataLoaderEvalFeedback:
-
         target_task_information = target_task.get_task_information()
         if (
             queried_knowledge is not None
@@ -47,8 +45,9 @@ class DataLoaderCoSTEEREvaluator(CoSTEEREvaluator):
                 final_decision=False,
             )
 
-        env = get_ds_env()
-        env.conf.extra_volumes = {f"{DS_RD_SETTING.local_data_path}/sample/{self.scen.competition}": "/kaggle/input"}
+        env = get_ds_env(
+            extra_volumes={f"{DS_RD_SETTING.local_data_path}/sample/{self.scen.competition}": "/kaggle/input"}
+        )
 
         # TODO: do we need to clean the generated temporary content?
         fname = "test/data_loader_test.py"
@@ -80,9 +79,12 @@ class DataLoaderCoSTEEREvaluator(CoSTEEREvaluator):
             workflow_stdout=workflow_stdout,
         )
 
-        return build_cls_from_json_with_retry(
+        fb = build_cls_from_json_with_retry(
             DataLoaderEvalFeedback,
             system_prompt=system_prompt,
             user_prompt=user_prompt,
             init_kwargs_update_func=DataLoaderEvalFeedback.val_and_update_init_dict,
         )
+        fb.final_decision = fb.final_decision and ret_code == 0
+
+        return fb