Revert "Fix logging configuration to ensure Cloud Foundry log capture"

This reverts commit 274a00d.

src/fbo_scraper/json_log_formatter.py

@@ -41,24 +41,15 @@ def configure_logger(logger, options, stdout_level=logging.INFO):
     """Configure logger with either JSON or standard formatting"""
     logger.handlers = []
 
-    # Choose the formatter
+    # Cleaner options check using DotDict
     if options.client.json_logging:
         formatter = CustomJsonFormatter()
     else:
         formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
 
-    # Configure handler for the named logger
-    handler = logging.StreamHandler(sys.stdout)
+    handler = logging.StreamHandler()
     handler.setFormatter(formatter)
     handler.setLevel(stdout_level)
     logger.addHandler(handler)
 
-    # Add this section to configure the root logger
-    root_logger = logging.getLogger()
-    if not root_logger.handlers:
-        root_handler = logging.StreamHandler(sys.stdout)
-        root_handler.setFormatter(formatter)
-        root_handler.setLevel(stdout_level)
-        root_logger.addHandler(root_handler)
-
     return logger

src/fbo_scraper/main.py

@@ -122,9 +122,15 @@ def grab_model_path(options):
     """
     Returns the path to the prediction model.
     """
-    # Use absolute path to the model file in src directory
-    base_dir = Path(__file__).parent
-    return str(base_dir / "binaries" / "clf_ajbuckingham_roc_auc.pkl")
+    model_name = options.prediction.model_name
+    model_path = options.prediction.model_path
+    if model_name:
+        model_path = Path(binary_path, model_name)
+    elif model_path:
+        model_path = Path(model_path)
+    else:
+        model_path = Path(binary_path, "atc_estimator.pkl")
+    return model_path
 
 def check_environment():
     """