Fix Incorrect Column Type Crash

omymodels/models/dataclass/core.py

@@ -1,4 +1,7 @@
-from typing import Dict, List, Optional
+from typing import List, Optional
+
+from table_meta import TableMeta
+from table_meta.model import Column
 
 import omymodels.types as t
 from omymodels.helpers import create_class_name, datetime_now_check
@@ -24,7 +27,7 @@ def add_custom_type(self, _type: str) -> str:
             column_type = column_type[0]
         return _type
 
-    def generate_attr(self, column: Dict, defaults_off: bool) -> str:
+    def generate_attr(self, column: Column, defaults_off: bool) -> str:
         column_str = dt.dataclass_attr
 
         if "." in column.type:
@@ -57,19 +60,19 @@ def generate_attr(self, column: Dict, defaults_off: bool) -> str:
         return column_str
 
     @staticmethod
-    def add_column_default(column_str: str, column: Dict) -> str:
+    def add_column_default(column_str: str, column: Column) -> str:
         if column.type.upper() in datetime_types:
             if datetime_now_check(column.default.lower()):
                 # todo: need to add other popular PostgreSQL & MySQL functions
                 column.default = dt.field_datetime_now
             elif "'" not in column.default:
-                column.default = f"'{column['default']}'"
+                column.default = f"'{column.default}'"
         column_str += dt.dataclass_default_attr.format(default=column.default)
         return column_str
 
     def generate_model(
         self,
-        table: Dict,
+        table: TableMeta,
         singular: bool = True,
         exceptions: Optional[List] = None,
         defaults_off: Optional[bool] = False,

omymodels/models/pydantic/core.py

@@ -1,6 +1,6 @@
-from typing import Dict, List, Optional
+from typing import List, Optional
 
-from table_meta.model import Column
+from table_meta.model import Column, TableMeta
 
 import omymodels.types as t
 from omymodels.helpers import create_class_name, datetime_now_check
@@ -11,29 +11,28 @@
 
 class ModelGenerator:
     def __init__(self):
-        self.imports = set([pt.base_model])
+        self.imports = {pt.base_model}
         self.types_for_import = ["Json"]
         self.datetime_import = False
         self.typing_imports = set()
         self.custom_types = {}
         self.uuid_import = False
         self.prefix = ""
 
-    def add_custom_type(self, target_type):
+    def add_custom_type(self, target_type: str) -> Optional[str]:
         column_type = self.custom_types.get(target_type, None)
         _type = None
         if isinstance(column_type, tuple):
             _type = column_type[1]
         return _type
 
-    def get_not_custom_type(self, column: Column):
+    def get_not_custom_type(self, column: Column) -> str:
         _type = None
         if "." in column.type:
             _type = column.type.split(".")[1]
         else:
             _type = column.type.lower().split("[")[0]
-        if _type == _type:
-            _type = types_mapping.get(_type, _type)
+        _type = types_mapping.get(_type, _type)
         if _type in self.types_for_import:
             self.imports.add(_type)
         elif "datetime" in _type:
@@ -45,40 +44,48 @@ def get_not_custom_type(self, column: Column):
             self.uuid_import = True
         return _type
 
-    def generate_attr(self, column: Dict, defaults_off: bool) -> str:
+    def generate_attr(self, column: Column, defaults_off: bool) -> str:
         _type = None
 
         if column.nullable:
             self.typing_imports.add("Optional")
             column_str = pt.pydantic_optional_attr
         else:
             column_str = pt.pydantic_attr
+
         if self.custom_types:
             _type = self.add_custom_type(column.type)
         if not _type:
             _type = self.get_not_custom_type(column)
 
         column_str = column_str.format(arg_name=column.name, type=_type)
 
-        if column.default and defaults_off is False:
+        if column.default is not None and not defaults_off:
             column_str = self.add_default_values(column_str, column)
 
         return column_str
 
     @staticmethod
-    def add_default_values(column_str: str, column: Dict) -> str:
+    def add_default_values(column_str: str, column: Column) -> str:
+        # Handle datetime default values
         if column.type.upper() in datetime_types:
             if datetime_now_check(column.default.lower()):
-                # todo: need to add other popular PostgreSQL & MySQL functions
+                # Handle functions like CURRENT_TIMESTAMP
                 column.default = "datetime.datetime.now()"
-            elif "'" not in column.default:
-                column.default = f"'{column['default']}'"
+            elif column.default.upper() != "NULL" and "'" not in column.default:
+                column.default = f"'{column.default}'"
+
+        # If the default is 'NULL', don't set a default in Pydantic (it already defaults to None)
+        if column.default.upper() == "NULL":
+            return column_str
+
+        # Append the default value if it's not None (e.g., explicit default values like '0' or CURRENT_TIMESTAMP)
         column_str += pt.pydantic_default_attr.format(default=column.default)
         return column_str
 
     def generate_model(
         self,
-        table: Dict,
+        table: TableMeta,
         singular: bool = True,
         exceptions: Optional[List] = None,
         defaults_off: Optional[bool] = False,

omymodels/types.py

@@ -116,7 +116,7 @@ def process_types_after_models_parser(column_data: Column) -> Column:
     return column_data
 
 
-def prepare_column_data(column_data: Column) -> str:
+def prepare_column_data(column_data: Column) -> Column:
     if "." in column_data.type or "(":
         column_data = process_types_after_models_parser(column_data)
     return column_data