fix CI

rdagent/app/kaggle/loop.py

@@ -7,7 +7,7 @@
 from rdagent.components.workflow.conf import BasePropSetting
 from rdagent.components.workflow.rd_loop import RDLoop
 from rdagent.core.developer import Developer
-from rdagent.core.exception import ModelEmptyError
+from rdagent.core.exception import FactorEmptyError, ModelEmptyError
 from rdagent.core.proposal import (
     Hypothesis2Experiment,
     HypothesisExperiment2Feedback,
@@ -71,7 +71,7 @@ def running(self, prev_out: dict[str, Any]):
             logger.log_object(exp, tag="runner result")
         return exp
 
-    skip_loop_error = (ModelEmptyError,)
+    skip_loop_error = (ModelEmptyError, FactorEmptyError)
 
 
 def main(path=None, step_n=None, competition=None):

rdagent/app/qlib_rd_loop/factor_from_report.py

@@ -11,8 +11,6 @@
     extract_first_page_screenshot_from_pdf,
     load_and_process_pdfs_by_langchain,
 )
-from rdagent.components.workflow.rd_loop import RDLoop
-from rdagent.core.exception import FactorEmptyError
 from rdagent.core.prompts import Prompts
 from rdagent.core.proposal import Hypothesis
 from rdagent.log import rdagent_logger as logger

rdagent/scenarios/kaggle/experiment/meta_tpl/fea_share_preprocess.py

@@ -1,4 +1,5 @@
 import os
+
 import pandas as pd
 from sklearn.compose import ColumnTransformer
 from sklearn.impute import SimpleImputer

rdagent/scenarios/kaggle/experiment/meta_tpl/model/model_xgb.py

@@ -6,8 +6,7 @@
 import xgboost as xgb
 
 
-
-def select(X: pd.DataFrame) -> pd.DataFrame: 
+def select(X: pd.DataFrame) -> pd.DataFrame:
     # Ignore feature selection logic
     return X
 
@@ -38,4 +37,4 @@ def predict(model, X):
     X = select(X)
     dtest = xgb.DMatrix(X)
     y_pred_prob = model.predict(dtest)
-    return y_pred_prob
+    return y_pred_prob

rdagent/scenarios/kaggle/experiment/scenario.py

@@ -1,7 +1,7 @@
 import io
 import json
-from pathlib import Path
 import pickle
+from pathlib import Path
 
 import pandas as pd
 from jinja2 import Environment, StrictUndefined