handling for empty stub classes

Author: shadowy-pycoder

pyproject.toml

@@ -19,6 +19,7 @@ classifiers = [
   "Programming Language :: Python :: 3.11",
   "Programming Language :: Python :: 3.12",
   "Programming Language :: Python :: 3.13",
+  "Programming Language :: Python :: 3.14",
 ]
 dependencies = [
   "camel-converter>=3.1.2",

pyya.egg-info/PKG-INFO

@@ -17,6 +17,7 @@ Classifier: Programming Language :: Python :: 3.10
 Classifier: Programming Language :: Python :: 3.11
 Classifier: Programming Language :: Python :: 3.12
 Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: 3.14
 Requires-Python: >=3.8
 Description-Content-Type: text/markdown
 Requires-Dist: camel-converter>=3.1.2

pyya/__init__.py

@@ -164,7 +164,7 @@ def _model_and_stub_from_dict(
         class_name = ''.join(part.capitalize() if i > 0 else part for i, part in enumerate(path + [name])).replace(
             '-', '_'
         )
-        stub_lines = [f'class {class_name}(Dict[str, Any]):']
+        stub_lines = [f'class {class_name}(dict[str, Any]):']
         nested_stubs = []
         py_type: Any
         for section, entry in data.items():
@@ -181,23 +181,25 @@ def _model_and_stub_from_dict(
                         f'{section.capitalize()}_item', first_item, path + [name]
                     )
                     if not keyword.iskeyword(section) and section.isidentifier():
-                        stub_lines.append(f'    {section}: List[{class_name + section.capitalize()}_item]')
+                        stub_lines.append(f'    {section}: list[{class_name + section.capitalize()}_item]')
                         nested_stubs.append(nested_stub)
                     fields[section] = (List[nested_model], entry)  # type: ignore
                 else:
                     py_type = type(first_item)
                     if not keyword.iskeyword(section) and section.isidentifier():
-                        stub_lines.append(f'    {section}: List[{py_type.__name__}]')
+                        stub_lines.append(f'    {section}: list[{py_type.__name__}]')
                     fields[section] = (List[py_type], entry)
             elif isinstance(entry, list):
                 if not keyword.iskeyword(section) and section.isidentifier():
-                    stub_lines.append(f'    {section}: List[Any]')
+                    stub_lines.append(f'    {section}: list[Any]')
                 fields[section] = (List[Any], entry)
             else:
                 py_type = type(entry)
                 if not keyword.iskeyword(section) and section.isidentifier():
                     stub_lines.append(f'    {section}: {py_type.__name__}')
                 fields[section] = (py_type, entry)
+        if len(stub_lines) == 1:
+            stub_lines[0] += ' ...'
         stub_code = '\n\n'.join(nested_stubs + ['\n'.join(stub_lines)])
         return create_model(name, **fields, __base__=ExtraBase), stub_code
 
@@ -236,7 +238,9 @@ def _get_default_raw_data() -> ConfigType:
         _default_raw_data = _get_default_raw_data()
         _, stub = _model_and_stub_from_dict('Config', _default_raw_data)
         stub_full = (
-            f'# {output_file} was autogenerated from {default_config} with pyya CLI tool, see `pyya -h`\nfrom typing import Any, Dict, List\n\n'
+            f'# {output_file} was autogenerated from {default_config} with pyya CLI tool, see `pyya -h`\n'
+            f'from __future__ import annotations\n\n'
+            f'from typing import Any\n\n'
             f'{stub}\n\n'
             '# for type hints to work the variable name created with pyya.init_config\n'
             '# should have the same name (e.g. config = pyya.init_config())\n'