fix: add force parameter for cache_with_pickle & using cache when get kaggle leaderboard

Makefile

@@ -68,6 +68,7 @@ init-qlib-env:
 
 dev:
 	$(PIPRUN) pip install -e .[docs,lint,package,test] -c $(CONSTRAINTS_FILE)
+	$(PIPRUN) pip install -U kaggle
 	if [ "$(CI)" != "true" ] && command -v pre-commit > /dev/null 2>&1; then pre-commit install --hook-type pre-push; fi
 
 # Generate constraints for current Python version.

rdagent/core/utils.py

@@ -153,7 +153,7 @@ def multiprocessing_wrapper(func_calls: list[tuple[Callable, tuple]], n: int) ->
         return [result.get() for result in results]
 
 
-def cache_with_pickle(hash_func: Callable, post_process_func: Callable | None = None) -> Callable:
+def cache_with_pickle(hash_func: Callable, post_process_func: Callable | None = None, force: bool = False) -> Callable:
     """
     This decorator will cache the return value of the function with pickle.
     The cache key is generated by the hash_func. The hash function returns a string or None.
@@ -162,12 +162,21 @@ def cache_with_pickle(hash_func: Callable, post_process_func: Callable | None =
     The post_process_func will be called with the original arguments and the cached result
     to give each caller a chance to process the cached result. The post_process_func should
     return the final result.
+
+    Parameters
+    ----------
+    hash_func : Callable
+        The function to generate the hash key for the cache.
+    post_process_func : Callable | None, optional
+        The function to process the cached result, by default None.
+    force : bool, optional
+        If True, the cache will be used even if RD_AGENT_SETTINGS.cache_with_pickle is False, by default False.
     """
 
     def cache_decorator(func: Callable) -> Callable:
         @functools.wraps(func)
         def cache_wrapper(*args: Any, **kwargs: Any) -> Any:
-            if not RD_AGENT_SETTINGS.cache_with_pickle:
+            if not RD_AGENT_SETTINGS.cache_with_pickle and not force:
                 return func(*args, **kwargs)
 
             target_folder = Path(RD_AGENT_SETTINGS.pickle_cache_folder_path_str) / f"{func.__module__}.{func.__name__}"

rdagent/scenarios/kaggle/kaggle_crawler.py

@@ -18,7 +18,7 @@
 from rdagent.app.kaggle.conf import KAGGLE_IMPLEMENT_SETTING
 from rdagent.core.conf import ExtendedBaseSettings
 from rdagent.core.exception import KaggleError
-from rdagent.core.prompts import Prompts
+from rdagent.core.utils import cache_with_pickle
 from rdagent.log import rdagent_logger as logger
 from rdagent.oai.llm_utils import APIBackend
 from rdagent.scenarios.data_science.debug.data import create_debug_data
@@ -186,6 +186,7 @@ def unzip_data(unzip_file_path: str, unzip_target_path: str) -> None:
         zip_ref.extractall(unzip_target_path)
 
 
+@cache_with_pickle(hash_func=lambda x: x, force=True)
 def leaderboard_scores(competition: str) -> list[float]:
     from kaggle.api.kaggle_api_extended import KaggleApi