add：SmallInteger()

README.md

@@ -614,8 +614,8 @@ Available Model Fields (with required args - optional ones in docs):
 * `Time()`
 * `DateTime()`
 * `JSON()`
-* `SmallInteger()`
 * `BigInteger()`
+* `SmallInteger()`
 * `Decimal(scale, precision)`
 * `UUID()`
 * `LargeBinary(max_length)`

docs/api/fields/model-fields.md

@@ -347,6 +347,34 @@ Accepts required and optional parameters that each column type accepts.
 
 `sqlalchemy Column`: initialized column with proper options
 
+<a name="fields.model_fields.SmallInteger"></a>
+## SmallInteger Objects
+
+```python
+class SmallInteger(Integer,  int)
+```
+
+SmallInteger field factory that construct Field classes and populated their values.
+
+<a name="fields.model_fields.SmallInteger.get_column_type"></a>
+#### get\_column\_type
+
+```python
+ | @classmethod
+ | get_column_type(cls, **kwargs: Any) -> Any
+```
+
+Return proper type of db column for given field type.
+Accepts required and optional parameters that each column type accepts.
+
+**Arguments**:
+
+- `kwargs` (`Any`): key, value pairs of sqlalchemy options
+
+**Returns**:
+
+`sqlalchemy Column`: initialized column with proper options
+
 <a name="fields.model_fields.Decimal"></a>
 ## Decimal Objects
 

docs/fields/field-types.md

@@ -69,6 +69,19 @@ Each of the `Fields` has assigned both `sqlalchemy` column class and python type
 !!!tip
     For explanation of other parameters check [pydantic][pydantic] documentation.
 
+### SmallInteger
+
+`SmallInteger(minimum: int = None,
+        maximum: int = None,
+        multiple_of: int = None)` has no required parameters.  
+
+* Sqlalchemy column: `sqlalchemy.SmallInteger`  
+* Type (used for pydantic): `int` 
+
+!!!tip
+    For explanation of other parameters check [pydantic][pydantic] documentation.
+
+
 ### Float
 
 `Float(minimum: float = None,

docs/index.md

@@ -636,6 +636,7 @@ Available Model Fields (with required args - optional ones in docs):
 * `DateTime()`
 * `JSON()`
 * `BigInteger()`
+* `SmallInteger()`
 * `Decimal(scale, precision)`
 * `UUID()`
 * `LargeBinary(max_length)`

ormar/__init__.py

@@ -41,6 +41,7 @@ from ormar.exceptions import (  # noqa: I100
 from ormar.fields import (
     BaseField,
     BigInteger,
+    SmallInteger,
     Boolean,
     DECODERS_MAP,
     Date,
@@ -80,6 +81,7 @@ __version__ = "0.10.15"
 __all__ = [
     "Integer",
     "BigInteger",
+    "SmallInteger",
     "Boolean",
     "Time",
     "Text",

ormar/fields/__init__.py

@@ -9,6 +9,7 @@ from ormar.fields.foreign_key import ForeignKey, ForeignKeyField, UniqueColumns
 from ormar.fields.many_to_many import ManyToMany, ManyToManyField
 from ormar.fields.model_fields import (
     BigInteger,
+    SmallInteger,
     Boolean,
     Date,
     DateTime,
@@ -29,6 +30,7 @@ from ormar.fields.through_field import Through, ThroughField
 __all__ = [
     "Decimal",
     "BigInteger",
+    "SmallInteger",
     "Boolean",
     "Date",
     "DateTime",

ormar/fields/model_fields.py

@@ -538,54 +538,6 @@ else:
                 )
 
 
-class SmallInteger(Integer, int):
-    """
-    SmallInteger field factory that construct Field classes and populated their values.
-    """
-
-    _type = int
-    _sample = 0
-
-    def __new__(  # type: ignore
-        cls,
-        *,
-        minimum: int = None,
-        maximum: int = None,
-        multiple_of: int = None,
-        **kwargs: Any
-    ) -> BaseField:
-        autoincrement = kwargs.pop("autoincrement", None)
-        autoincrement = (
-            autoincrement
-            if autoincrement is not None
-            else kwargs.get("primary_key", False)
-        )
-        kwargs = {
-            **kwargs,
-            **{
-                k: v
-                for k, v in locals().items()
-                if k not in ["cls", "__class__", "kwargs"]
-            },
-        }
-        kwargs["ge"] = kwargs["minimum"]
-        kwargs["le"] = kwargs["maximum"]
-        return super().__new__(cls, **kwargs)
-
-    @classmethod
-    def get_column_type(cls, **kwargs: Any) -> Any:
-        """
-        Return proper type of db column for given field type.
-        Accepts required and optional parameters that each column type accepts.
-
-        :param kwargs: key, value pairs of sqlalchemy options
-        :type kwargs: Any
-        :return: initialized column with proper options
-        :rtype: sqlalchemy Column
-        """
-        return sqlalchemy.SmallInteger()
-
-
 class BigInteger(Integer, int):
     """
     BigInteger field factory that construct Field classes and populated their values.
@@ -634,6 +586,54 @@ class BigInteger(Integer, int):
         return sqlalchemy.BigInteger()
 
 
+class SmallInteger(Integer, int):
+    """
+    SmallInteger field factory that construct Field classes and populated their values.
+    """
+
+    _type = int
+    _sample = 0
+
+    def __new__(  # type: ignore
+        cls,
+        *,
+        minimum: int = None,
+        maximum: int = None,
+        multiple_of: int = None,
+        **kwargs: Any
+    ) -> BaseField:
+        autoincrement = kwargs.pop("autoincrement", None)
+        autoincrement = (
+            autoincrement
+            if autoincrement is not None
+            else kwargs.get("primary_key", False)
+        )
+        kwargs = {
+            **kwargs,
+            **{
+                k: v
+                for k, v in locals().items()
+                if k not in ["cls", "__class__", "kwargs"]
+            },
+        }
+        kwargs["ge"] = kwargs["minimum"]
+        kwargs["le"] = kwargs["maximum"]
+        return super().__new__(cls, **kwargs)
+
+    @classmethod
+    def get_column_type(cls, **kwargs: Any) -> Any:
+        """
+        Return proper type of db column for given field type.
+        Accepts required and optional parameters that each column type accepts.
+
+        :param kwargs: key, value pairs of sqlalchemy options
+        :type kwargs: Any
+        :return: initialized column with proper options
+        :rtype: sqlalchemy Column
+        """
+        return sqlalchemy.SmallInteger()
+
+
 class Decimal(ModelFieldFactory, decimal.Decimal):
     """
     Decimal field factory that construct Field classes and populated their values.

tests/test_encryption/test_encrypted_columns.py

@@ -67,6 +67,7 @@ class Author(ormar.Model):
     test_time = ormar.Time(default=datetime.time, **default_fernet)
     test_json = ormar.JSON(default={}, **default_fernet)
     test_bigint: int = ormar.BigInteger(default=0, **default_fernet)
+    test_smallint: int = ormar.SmallInteger(default=0, **default_fernet)
     test_decimal = ormar.Decimal(scale=2, precision=10, **default_fernet)
     test_decimal2 = ormar.Decimal(max_digits=10, decimal_places=2, **default_fernet)
     custom_backend: str = ormar.String(

tests/test_fastapi/test_choices_schema.py

@@ -42,6 +42,7 @@ class Organisation(ormar.Model):
     ident: str = ormar.String(max_length=100, choices=["ACME Ltd", "Other ltd"])
     priority: int = ormar.Integer(choices=[1, 2, 3, 4, 5])
     priority2: int = ormar.BigInteger(choices=[1, 2, 3, 4, 5])
+    priority3: int = ormar.SmallInteger(choices=[1, 2, 3, 4, 5])
     expire_date: datetime.date = ormar.Date(
         choices=[datetime.date(2021, 1, 1), datetime.date(2022, 5, 1)]
     )

tests/test_model_definition/test_model_definition.py

@@ -35,6 +35,7 @@ class ExampleModel(Model):
     test_time = ormar.Time(default=datetime.time)
     test_json = ormar.JSON(default={})
     test_bigint: int = ormar.BigInteger(default=0)
+    test_smallint: int = ormar.SmallInteger(default=0)
     test_decimal = ormar.Decimal(scale=2, precision=10)
     test_decimal2 = ormar.Decimal(max_digits=10, decimal_places=2)