Drop support for Python 3.7

.github/workflows/release.yml

@@ -15,11 +15,11 @@ jobs:
     steps:
       - uses: actions/checkout@v3
 
-      # We use Python 3.7 here because it's the minimum Python version supported by this library.
-      - name: Setup Python 3.7
+      # We use Python 3.8 here because it's the minimum Python version supported by this library.
+      - name: Setup Python 3.8
         uses: actions/setup-python@v4
         with:
-          python-version: 3.7
+          python-version: 3.8
 
       - name: Install dependencies
         run: pip install --upgrade pip build
@@ -42,10 +42,10 @@ jobs:
     steps:
       - uses: actions/checkout@v3
 
-      - name: Setup Python 3.7
+      - name: Setup Python 3.8
         uses: actions/setup-python@v4
         with:
-          python-version: 3.7
+          python-version: 3.8
 
       - name: Download build artifacts
         uses: actions/download-artifact@v3

.github/workflows/tests.yml

@@ -19,7 +19,6 @@ jobs:
       fail-fast: false
       matrix:
         python-version:
-          - '3.7'
           - '3.8'
           - '3.9'
           - '3.10'

Makefile

@@ -61,7 +61,7 @@ docker-tox:
 		tox run --workdir .tox_docker $(TOX_ARGS)
 
 # Run partial tox test suites in Docker
-.PHONY: docker-tox-py312 docker-tox-py311 docker-tox-py310 docker-tox-py39 docker-tox-py38 docker-tox-py37
+.PHONY: docker-tox-py312 docker-tox-py311 docker-tox-py310 docker-tox-py39 docker-tox-py38
 docker-tox-py312: TOX_ARGS="-e clean,py312,py312-report"
 docker-tox-py312: docker-tox
 docker-tox-py311: TOX_ARGS="-e clean,py311,py311-report"
@@ -72,13 +72,10 @@ docker-tox-py39: TOX_ARGS="-e clean,py39,py39-report"
 docker-tox-py39: docker-tox
 docker-tox-py38: TOX_ARGS="-e clean,py38,py38-report"
 docker-tox-py38: docker-tox
-docker-tox-py37: TOX_ARGS="-e clean,py37,py37-report"
-docker-tox-py37: docker-tox
 
 # Run all tox test suites, but separately to check code coverage individually
 .PHONY: docker-tox-all
 docker-tox-all:
-	make docker-tox-py37
 	make docker-tox-py38
 	make docker-tox-py39
 	make docker-tox-py310

docs/05-dataclasses.md

@@ -368,9 +368,6 @@ class ExampleDataclass:
 To set a default value for a field using the `@validataclass` decorator, you have to define the field as a **tuple**
 consisting of the validator and a `Default` object, e.g. `IntegerValidator(), Default(42)`.
 
-Please note that in Python 3.7 for some reason these tuples require parentheses (see example). Unless you're writing
-code for Python 3.7, it is recommended to omit the parentheses for a more consistent look, though.
-
 **Example:**
 
 ```python
@@ -381,9 +378,6 @@ from validataclass.validators import IntegerValidator
 class ExampleDataclass:
     example_field: int = IntegerValidator()
     optional_field: int = IntegerValidator(), Default(42)
-
-    # Compatibility note: In Python 3.7 parentheses are required when using the tuple notation:
-    optional_field2: int = (IntegerValidator(), Default(42))
 ```
 
 

setup.cfg

@@ -17,7 +17,6 @@ classifiers =
     License :: OSI Approved :: MIT License
     Operating System :: OS Independent
     Programming Language :: Python :: 3
-    Programming Language :: Python :: 3.7
     Programming Language :: Python :: 3.8
     Programming Language :: Python :: 3.9
     Programming Language :: Python :: 3.10
@@ -31,7 +30,7 @@ classifiers =
 package_dir =
     = src
 packages = find:
-python_requires = >=3.7
+python_requires = >=3.8
 install_requires =
     typing-extensions ~= 4.3
     python-dateutil

src/validataclass/dataclasses/validataclass.py

@@ -31,15 +31,19 @@ def validataclass(cls: Type[_T]) -> Type[_T]:
 
 
 @overload
-def validataclass(cls: None = None, **kwargs) -> Callable[[Type[_T]], Type[_T]]:
+def validataclass(cls: None = None, /, **kwargs) -> Callable[[Type[_T]], Type[_T]]:
     ...
 
 
 @dataclass_transform(
     kw_only_default=True,
     field_specifiers=(dataclasses.field, dataclasses.Field, validataclass_field),
 )
-def validataclass(cls: Optional[Type[_T]] = None, **kwargs) -> Union[Type[_T], Callable[[Type[_T]], Type[_T]]]:
+def validataclass(
+    cls: Optional[Type[_T]] = None,
+    /,
+    **kwargs,
+) -> Union[Type[_T], Callable[[Type[_T]], Type[_T]]]:
     """
     Decorator that turns a normal class into a DataclassValidator-compatible dataclass.
 
@@ -67,9 +71,6 @@ class ExampleDataclass:
         example_field3: str = validataclass_field(StringValidator())  # Same as example_field1
         example_field4: str = validataclass_field(StringValidator(), default='not set')  # Same as example_field2
         post_init_field: int = field(init=False, default=0)  # Post-init field without validator
-
-        # COMPATIBILITY NOTE: In Python 3.7 parentheses are required when setting a Default using the tuple notation:
-        # field_with_default: str = (StringValidator(), Default('not set'))
     ```
 
     Note: As of now, InitVars are not supported because they are not recognized as proper fields. This might change in a

src/validataclass/validators/dataclass_validator.py

@@ -51,9 +51,6 @@ class ExampleDataclass:
         example_field: str = StringValidator()
         optional_field: str = StringValidator(), Default('')
 
-        # Compatibility note: In Python 3.7 parentheses are required when setting a Default using the tuple notation:
-        # optional_field: str = (StringValidator(), Default(''))
-
         # Equivalent definition using validataclass_field():
         # example_field: str = validataclass_field(StringValidator())
         # optional_field: str = validataclass_field(StringValidator(), default='')

tests/dataclasses/validataclass_mixin_test.py

@@ -16,8 +16,8 @@
 @validataclass
 class UnitTestDataclass(ValidataclassMixin):
     foo: int = IntegerValidator()  # required field
-    bar: str = (StringValidator(), Default('bloop'))
-    baz: OptionalUnset[Decimal] = (DecimalValidator(), DefaultUnset)
+    bar: str = StringValidator(), Default('bloop')
+    baz: OptionalUnset[Decimal] = DecimalValidator(), DefaultUnset
 
 
 class ValidataclassMixinTest:
@@ -27,7 +27,7 @@ class ValidataclassMixinTest:
 
     @staticmethod
     def test_validataclass_to_dict():
-        """ Tests the to_dict() method of the ValidataclassMixin class using the regular constructor. """
+        """ Tests ValidataclassMixin.to_dict() using the regular constructor. """
         obj = UnitTestDataclass(foo=42, bar='meep', baz=Decimal('-1.23'))
         assert obj.to_dict() == {
             'foo': 42,
@@ -37,7 +37,7 @@ def test_validataclass_to_dict():
 
     @staticmethod
     def test_validataclass_to_dict_validated():
-        """ Tests the to_dict() method of the ValidataclassMixin class using a DataclassValidator. """
+        """ Tests ValidataclassMixin.to_dict() using a DataclassValidator. """
         validator = DataclassValidator(UnitTestDataclass)
         obj: UnitTestDataclass = validator.validate({'foo': 42, 'bar': 'meep', 'baz': '-1.23'})
         assert obj.to_dict() == {
@@ -48,7 +48,7 @@ def test_validataclass_to_dict_validated():
 
     @staticmethod
     def test_validataclass_to_dict_validated_with_defaults():
-        """ Tests the to_dict() method of the ValidataclassMixin class using a DataclassValidator, with default values. """
+        """ Tests ValidataclassMixin.to_dict() using a DataclassValidator, with default values. """
         validator = DataclassValidator(UnitTestDataclass)
         obj: UnitTestDataclass = validator.validate({'foo': 42})
         assert obj.to_dict() == {
@@ -58,7 +58,7 @@ def test_validataclass_to_dict_validated_with_defaults():
 
     @staticmethod
     def test_validataclass_to_dict_validated_keep_unset_values():
-        """ Tests the to_dict() method of the ValidataclassMixin class with the parameter keep_unset_value=True. """
+        """ Tests ValidataclassMixin.to_dict() with the parameter keep_unset_value=True. """
         validator = DataclassValidator(UnitTestDataclass)
         obj: UnitTestDataclass = validator.validate({'foo': 42})
         obj_as_dict = obj.to_dict(keep_unset_values=True)