Update to accomendate last updates of qlib

lib/procedures/q_exps.py

@@ -3,15 +3,38 @@
 #####################################################
 
 import inspect
+import os
+import logging
 
 import qlib
 from qlib.utils import init_instance_by_config
 from qlib.workflow import R
 from qlib.utils import flatten_dict
-from qlib.log import set_log_basic_config
 from qlib.log import get_module_logger
 
 
+def set_log_basic_config(filename=None, format=None, level=None):
+    """
+    Set the basic configuration for the logging system.
+    See details at https://docs.python.org/3/library/logging.html#logging.basicConfig
+    :param filename: str or None
+        The path to save the logs.
+    :param format: the logging format
+    :param level: int
+    :return: Logger
+        Logger object.
+    """
+    from qlib.config import C
+
+    if level is None:
+        level = C.logging_level
+
+    if format is None:
+        format = C.logging_config["formatters"]["logger_format"]["format"]
+
+    logging.basicConfig(filename=filename, format=format, level=level)
+
+
 def update_gpu(config, gpu):
     config = config.copy()
     if "task" in config and "model" in config["task"]:
@@ -46,8 +69,8 @@ def run_exp(task_config, dataset, experiment_name, recorder_name, uri):
     # Let's start the experiment.
     with R.start(experiment_name=experiment_name, recorder_name=recorder_name, uri=uri):
         # Setup log
-        recorder_root_dir = R.get_recorder().root_uri
-        log_file = recorder_root_dir / "{:}.log".format(experiment_name)
+        recorder_root_dir = R.get_recorder().get_local_dir()
+        log_file = os.path.join(recorder_root_dir, "{:}.log".format(experiment_name))
         set_log_basic_config(log_file)
         logger = get_module_logger("q.run_exp")
         logger.info("task_config={:}".format(task_config))
@@ -56,8 +79,8 @@ def run_exp(task_config, dataset, experiment_name, recorder_name, uri):
 
         # Train model
         R.log_params(**flatten_dict(task_config))
-        if 'save_path' in inspect.getfullargspec(model.fit).args:
-          model_fit_kwargs['save_path'] = str(recorder_root_dir / 'model-ckps')
+        if "save_path" in inspect.getfullargspec(model.fit).args:
+            model_fit_kwargs["save_path"] = os.path.join(recorder_root_dir, "model-ckps")
         model.fit(**model_fit_kwargs)
         # Get the recorder
         recorder = R.get_recorder()