more general exception

qlib/data/dataset/loader.py

@@ -12,7 +12,7 @@ from typing import Tuple, Union
 from qlib.data import D
 from qlib.data import filter as filter_module
 from qlib.data.filter import BaseDFilter
-from qlib.utils import load_dataset, init_instance_by_config
+from qlib.utils import load_dataset, init_instance_by_config, time_to_slc_point
 from qlib.log import get_module_logger
 
 
@@ -208,10 +208,8 @@ class StaticDataLoader(DataLoader):
         if start_time is None and end_time is None:
             return df  # NOTE: avoid copy by loc
         # pd.Timestamp(None) == NaT, use NaT as index can not fetch correct thing, so do not change None.
-        if start_time is not None:
+        start_time = time_to_slc_point(start_time)
-            start_time = pd.Timestamp(start_time)
+        end_time = time_to_slc_point(end_time)
-        if end_time is not None:
-            end_time = pd.Timestamp(end_time)
         return df.loc[start_time:end_time]
 
     def _maybe_load_raw_data(self):

qlib/utils/exceptions.py

@@ -10,3 +10,8 @@ class QlibException(Exception):
 # Error type for reinitialization when starting an experiment
 class RecorderInitializationError(QlibException):
     pass
+
+
+# Error type for Recorder when can not load object
+class LoadObjectError(QlibException):
+    pass

qlib/workflow/online/utils.py

@@ -12,7 +12,7 @@ from qlib.data.dataset import TSDatasetH
 
 from qlib.log import get_module_logger
 from qlib.utils import get_cls_kwargs
-from qlib.utils.exceptions import QlibException
+from qlib.utils.exceptions import LoadObjectError
 from qlib.workflow.online.update import PredUpdater
 from qlib.workflow.recorder import Recorder
 from qlib.workflow.task.utils import list_recorders
@@ -138,12 +138,7 @@ class OnlineToolR(OnlineTool):
             exp_name (str): the experiment name. If None, then use default_exp_name.
 
         """
-        if exp_name is None:
+        exp_name = self._get_exp_name(exp_name)
-            if self.default_exp_name is None:
-                raise ValueError(
-                    "Both default_exp_name and exp_name are None. OnlineToolR needs a specific experiment."
-                )
-            exp_name = self.default_exp_name
         if isinstance(recorder, Recorder):
             recorder = [recorder]
         recs = list_recorders(exp_name)
@@ -160,12 +155,7 @@ class OnlineToolR(OnlineTool):
         Returns:
             list: a list of `online` models.
         """
-        if exp_name is None:
+        exp_name = self._get_exp_name(exp_name)
-            if self.default_exp_name is None:
-                raise ValueError(
-                    "Both default_exp_name and exp_name are None. OnlineToolR needs a specific experiment."
-                )
-            exp_name = self.default_exp_name
         return list(list_recorders(exp_name, lambda rec: self.get_online_tag(rec) == self.ONLINE_TAG).values())
 
     def update_online_pred(self, to_date=None, exp_name: str = None):
@@ -176,12 +166,7 @@ class OnlineToolR(OnlineTool):
             to_date (pd.Timestamp): the pred before this date will be updated. None for updating to latest time in Calendar.
             exp_name (str): the experiment name. If None, then use default_exp_name.
         """
-        if exp_name is None:
+        exp_name = self._get_exp_name(exp_name)
-            if self.default_exp_name is None:
-                raise ValueError(
-                    "Both default_exp_name and exp_name are None. OnlineToolR needs a specific experiment."
-                )
-            exp_name = self.default_exp_name
         online_models = self.online_models(exp_name=exp_name)
         for rec in online_models:
             hist_ref = 0
@@ -192,10 +177,19 @@ class OnlineToolR(OnlineTool):
                 hist_ref = kwargs.get("step_len", TSDatasetH.DEFAULT_STEP_LEN)
             try:
                 updater = PredUpdater(rec, to_date=to_date, hist_ref=hist_ref)
-            except QlibException as e:
+            except LoadObjectError as e:
                 # skip the recorder without pred
                 self.logger.warn(f"An exception `{str(e)}` happened when load `pred.pkl`, skip it.")
                 continue
             updater.update()
 
         self.logger.info(f"Finished updating {len(online_models)} online model predictions of {exp_name}.")
+
+    def _get_exp_name(self, exp_name):
+        if exp_name is None:
+            if self.default_exp_name is None:
+                raise ValueError(
+                    "Both default_exp_name and exp_name are None. OnlineToolR needs a specific experiment."
+                )
+            exp_name = self.default_exp_name
+        return exp_name

qlib/workflow/recorder.py

@@ -6,8 +6,7 @@ import shutil, os, pickle, tempfile, codecs, pickle
 from pathlib import Path
 from datetime import datetime
 
-from mlflow.exceptions import MlflowException
+from qlib.utils.exceptions import LoadObjectError
-from qlib.utils.exceptions import QlibException
 from ..utils.objm import FileManager
 from ..log import get_module_logger
 
@@ -311,12 +310,13 @@ class MLflowRecorder(Recorder):
 
     def load_object(self, name):
         assert self.uri is not None, "Please start the experiment and recorder first before using recorder directly."
+
         try:
             path = self.client.download_artifacts(self.id, name)
             with Path(path).open("rb") as f:
                 return pickle.load(f)
-        except OSError as e:
+        except Exception as e:
-            raise QlibException(message=str(e))
+            raise LoadObjectError(message=str(e))
 
     def log_params(self, **kwargs):
         for name, data in kwargs.items():