✨ MainBaseModel

pyodmongo/__init__.py

@@ -1,6 +1,6 @@
 from .async_engine.engine import AsyncDbEngine
 from .engine.engine import DbEngine
-from .models.db_model import DbModel
+from .models.db_model import DbModel, MainBaseModel
 from .models.id_model import Id
 from .models.paginate import ResponsePaginate
 from .models.responses import SaveResponse, DeleteResponse

pyodmongo/models/db_model.py

@@ -1,70 +1,13 @@
 from pydantic import ConfigDict
 from .id_model import Id
 from datetime import datetime
-from typing import Any, ClassVar
-from ..services.model_init import (
-    resolve_indexes,
-    resolve_class_fields_db_info,
-    resolve_reference_pipeline,
-    # resolve_db_fields,
-)
+from typing import ClassVar
 from pydantic import BaseModel
-from pydantic._internal._model_construction import ModelMetaclass
-from typing_extensions import dataclass_transform
 from typing import ClassVar
-import copy
-
-
-@dataclass_transform(kw_only_default=True)
-class DbMeta(ModelMetaclass):
-    """
-    Metaclass for database model entities in a PyODMongo environment. It extends
-    the functionality of the ModelMetaclass by applying specific behaviors and
-    transformations related to database operations such as indexing, reference
-    resolution, and initialization of database fields.
-
-    Attributes:
-        __pyodmongo_complete__ (bool): Attribute used to track the completion of
-                                      the meta-level configuration.
-
-    Methods:
-        __new__(cls, name, bases, namespace, **kwargs): Constructs a new class
-            instance, ensuring database-specific adjustments and initializations
-            are applied.
-        __getattr__(cls, name): Custom attribute access handling that supports
-            dynamic attributes based on database field definitions.
-    """
-
-    def __new__(
-        cls, name: str, bases: tuple[Any], namespace: dict, **kwargs: Any
-    ) -> type:
-        setattr(cls, "__pyodmongo_complete__", False)
-        for base in bases:
-            setattr(base, "__pyodmongo_complete__", False)
-
-        # TODO finish db_fields after ModelMetaclass
-        # db_fields = copy.deepcopy(namespace.get("__annotations__"))
-        # db_fields = resolve_db_fields(bases=bases, db_fields=db_fields)
-
-        cls: BaseModel = ModelMetaclass.__new__(cls, name, bases, namespace, **kwargs)
-
-        setattr(cls, "__pyodmongo_complete__", True)
-        for base in bases:
-            setattr(base, "__pyodmongo_complete__", True)
+from .metaclasses import PyOdmongoMeta, DbMeta
 
-        resolve_class_fields_db_info(cls=cls)
-        pipeline = resolve_reference_pipeline(cls=cls, pipeline=[])
-        setattr(cls, "_reference_pipeline", pipeline)
-        indexes = resolve_indexes(cls=cls)
-        setattr(cls, "_init_indexes", indexes)
-        return cls
 
-    def __getattr__(cls, name: str):
-        if cls.__dict__.get("__pyodmongo_complete__"):
-            is_attr = name in cls.__dict__.get("model_fields").keys()
-            if is_attr:
-                return cls.__dict__.get(name + "__pyodmongo")
-        ModelMetaclass.__getattr__(cls, name)
+class MainBaseModel(BaseModel, metaclass=PyOdmongoMeta): ...
 
 
 class DbModel(BaseModel, metaclass=DbMeta):

pyodmongo/models/metaclasses.py

@@ -0,0 +1,93 @@
+from typing import Any
+from ..services.model_init import (
+    resolve_indexes,
+    resolve_class_fields_db_info,
+    resolve_reference_pipeline,
+)
+from pydantic import BaseModel
+from pydantic._internal._model_construction import ModelMetaclass
+from typing_extensions import dataclass_transform
+
+
+@dataclass_transform(kw_only_default=True)
+class PyOdmongoMeta(ModelMetaclass):
+    """
+    Metaclass for creating and configuring PyODMongo models. This metaclass extends
+    the functionality of Pydantic's ModelMetaclass to include database-specific
+    configurations and transformations.
+
+    The primary responsibilities of this metaclass are:
+    - Setting and tracking the `__pyodmongo_complete__` attribute to ensure proper
+      initialization of database-related features.
+    - Applying necessary transformations to class fields for database compatibility.
+    - Providing custom attribute access behavior for dynamically generated attributes.
+
+    Attributes:
+        __pyodmongo_complete__ (bool): Indicator of whether the meta-level
+                                       configuration is complete.
+
+    Methods:
+        __new__(cls, name, bases, namespace, **kwargs): Constructs a new class instance,
+            applying database-specific initializations.
+        __getattr__(cls, name): Custom attribute access method supporting dynamic
+            attribute retrieval based on model fields.
+    """
+
+    def __new__(
+        cls, name: str, bases: tuple[Any], namespace: dict, **kwargs: Any
+    ) -> type:
+        setattr(cls, "__pyodmongo_complete__", False)
+        for base in bases:
+            setattr(base, "__pyodmongo_complete__", False)
+
+        cls: BaseModel = ModelMetaclass.__new__(cls, name, bases, namespace, **kwargs)
+
+        setattr(cls, "__pyodmongo_complete__", True)
+        for base in bases:
+            setattr(base, "__pyodmongo_complete__", True)
+
+        resolve_class_fields_db_info(cls=cls)
+        return cls
+
+    def __getattr__(cls, name: str):
+        if cls.__dict__.get("__pyodmongo_complete__"):
+            is_attr = name in cls.__dict__.get("model_fields").keys()
+            if is_attr:
+                return cls.__dict__.get(name + "__pyodmongo")
+        ModelMetaclass.__getattr__(cls, name)
+
+
+@dataclass_transform(kw_only_default=True)
+class DbMeta(PyOdmongoMeta):
+    """
+    Metaclass for database model entities in a PyODMongo environment. It extends
+    the functionality of the PyOdmongoMeta by applying specific behaviors and
+    transformations related to database operations such as indexing, reference
+    resolution, and initialization of database fields.
+
+    The primary responsibilities of this metaclass are:
+    - Constructing new class instances with additional database-specific adjustments
+      and initializations.
+    - Setting up pipelines for resolving references within the database context.
+    - Configuring indexes for efficient database operations.
+
+    Attributes:
+        __pyodmongo_complete__ (bool): Attribute used to track the completion of
+                                       the meta-level configuration.
+
+    Methods:
+        __new__(cls, name, bases, namespace, **kwargs): Constructs a new class instance,
+            ensuring database-specific adjustments and initializations are applied.
+    """
+
+    def __new__(
+        cls, name: str, bases: tuple[Any], namespace: dict, **kwargs: Any
+    ) -> type:
+
+        cls: BaseModel = PyOdmongoMeta.__new__(cls, name, bases, namespace, **kwargs)
+
+        pipeline = resolve_reference_pipeline(cls=cls, pipeline=[])
+        setattr(cls, "_reference_pipeline", pipeline)
+        indexes = resolve_indexes(cls=cls)
+        setattr(cls, "_init_indexes", indexes)
+        return cls

tests/test_class.py

@@ -1,10 +1,24 @@
-from pyodmongo import DbModel, Id
+from pyodmongo import MainBaseModel, DbModel, Id
+from pyodmongo.models.db_field_info import DbField
 from pydantic import EmailStr, ValidationError
 from datetime import datetime
 from typing import ClassVar, Union
 import pytest
 
 
+def test_main_base_model():
+    class MainModel(MainBaseModel):
+        attr_1: int
+        attr_2: str
+
+    assert issubclass(MainModel, MainBaseModel)
+    assert isinstance(MainModel.attr_1, DbField)
+    assert isinstance(MainModel.attr_2, DbField)
+    obj = MainModel(attr_1=1, attr_2="one")
+    assert obj.attr_1 == 1
+    assert obj.attr_2 == "one"
+
+
 def test_create_class():
     class MyClass(DbModel):
         _collection: ClassVar = "myclass"