Replaced print statement with logging and raise exception for better error handling and managment

src/data_integration_lib.py

@@ -1,22 +1,35 @@
 import os
 
 import src.hdf5_lib as hdf5_lib
+import src.g5505_utils as utils
 import yaml
+ 
+import logging
 from datetime import datetime
 
 
 
-def integrate_data_sources(yaml_config_file_path):
+def integrate_data_sources(yaml_config_file_path, log_dir='logs/'):
 
-    """ returns an hdf5 file for each experimental campaign specified by the input configuration file.
-    
+    """ Integrates data sources specified by the input configuration file into HDF5 files.
+
+    Parameters:
+        yaml_config_file_path (str): Path to the YAML configuration file.
+        log_dir (str): Directory to save the log file.
+
+    Returns:
+        str: Path to the created HDF5 file.
     """
-    # TODO: add and commit changes to yaml_config_file_path
+
+    date = utils.created_at()
+    utils.setup_logging(log_dir, f"integrate_data_sources_{date}.log")
+
     with open(yaml_config_file_path,'r') as stream:
         try:
             config_dict = yaml.load(stream, Loader=yaml.FullLoader)
         except yaml.YAMLError as exc:
-            print(exc)
+            logging.error("Error loading YAML file: %s", exc)
+            raise
 
     output_filename = lambda name, datetime, initials: '_'.join([name,datetime,initials])+'.h5'
     exp_campaign_name = config_dict['experiment_name']