diff --git a/definitions/models.py b/definitions/models.py
index fd3654c..ba36470 100644
--- a/definitions/models.py
+++ b/definitions/models.py
@@ -1,47 +1,54 @@
 from flask_sqlalchemy import SQLAlchemy
-from sqlalchemy import Enum, Integer, Float, String, Date, Column
+from sqlalchemy import Enum, Integer, Float, String, Date, Column, Boolean
 from config import item_attributes, sql_conf
 from definitions.attribute import textAttribute, intAttribute, floatAttribute, dateAttribute, selectAttribute
 
 # Initialize SQLAlchemy
 db = SQLAlchemy()
 
+# Mapping of attribute types to SQLAlchemy column types
+COLUMN_TYPE_MAPPING = {
+    textAttribute: lambda attrib: String(attrib.max_length),
+    dateAttribute: lambda attrib: Date,
+    selectAttribute: lambda attrib: Enum(*attrib.options),
+    intAttribute: lambda attrib: Integer,
+    floatAttribute: lambda attrib: Float,
+}
+
+def _get_column_type(attrib):
+    """Helper function to get the SQLAlchemy column type for an attribute."""
+    if type(attrib) not in COLUMN_TYPE_MAPPING:
+        raise ValueError(f"Unsupported attribute type: {type(attrib)} for attribute '{attrib.attrib_name}'")
+    return COLUMN_TYPE_MAPPING[type(attrib)](attrib)
+
+def _get_column_properties(attrib):
+    """Helper function to get the properties for a column."""
+    return {
+        'primary_key': attrib.primary,
+        'unique': attrib.unique,
+        'nullable': not attrib.required,
+        'default': attrib.default_val
+    }
+
 def create_asset_model():
     """
     Dynamically creates the Asset model based on the configuration in item_attributes.
     """
     # Define the table name and basic methods
     attrs = {
-        '__tablename__': sql_conf.SQL_TABLE,  # Table name from config
-        '__init__': lambda self, **kwargs: self.__dict__.update(kwargs),  # Constructor
-        '__repr__': lambda self: f"<Asset {getattr(self, next(attrib.attrib_name for attrib in item_attributes if attrib.primary))}>"  # Representation
+        '__tablename__': sql_conf.SQL_TABLE,
+        '__init__': lambda self, **kwargs: self.__dict__.update(kwargs),
+        '__repr__': lambda self: f"<Asset {getattr(self, next(attrib.attrib_name for attrib in item_attributes if attrib.primary))}>"
     }
 
     # Define columns based on item_attributes
     for attrib in item_attributes:
-        # Determine the column type
-        if isinstance(attrib, textAttribute):
-            column_type = String(attrib.max_length)
-        elif isinstance(attrib, dateAttribute):
-            column_type = Date
-        elif isinstance(attrib, selectAttribute):
-            column_type = Enum(*attrib.options)
-        elif isinstance(attrib, (intAttribute, floatAttribute)):
-            column_type = Integer if isinstance(attrib, intAttribute) else Float
-        else:
-            raise ValueError(f"Unsupported attribute type: {type(attrib)}")
-
-        # Define the column with additional properties
-        attrs[attrib.attrib_name] = Column(
-            column_type,
-            primary_key=attrib.primary,
-            unique=attrib.unique,
-            nullable=not attrib.required,
-            default=attrib.default_val
-        )
+        column_type = _get_column_type(attrib)
+        column_properties = _get_column_properties(attrib)
+        attrs[attrib.attrib_name] = Column(column_type, **column_properties)
 
     # Create the Item class dynamically
-    Item = type('Asset', (db.Model,), attrs)
+    Item = type('Item', (db.Model,), attrs)
     return Item
 
 # Create the Item model