Add more config options inherited from Pydantic

docs/modeling.md

@@ -58,38 +58,53 @@ ensure that the area of the rectangle is less or equal to 9.
 
 ### Advanced Configuration
 
-The model configuration is done in the same way as with Pydantic models, using a [Config
+The model configuration is done in the same way as with Pydantic models: using a [Config
 class](https://pydantic-docs.helpmanual.io/usage/model_config/){:target=blank_} defined
 in the model body.
 
-
-
-`#!python collection: str`
-:    The collection name associated to the model. see [this
-     section](modeling.md#collection) for more details about collection naming.
-
-
-
-`#!python title: str` *(inherited from Pydantic)*
-:    The name generated in the JSON schema.
-
-
-
-`#!python json_encoders: dict` *(inherited from Pydantic)*
-:    Customize the way types used in the model are encoded.
-
-    ??? example "`json_encoders` example"
-
-        For example, in order to serialize `datetime` fields as timestamp values:
-        ```python
-        class Event(Model):
-            date: datetime
-
-            class Config:
-                json_encoders = {
-                    datetime: lambda v: v.timestamp()
-                }
-        ```
+**Available options**:
+
+> `#!python collection: str`
+> :    Customize the collection name associated to the model. see [this
+>      section](modeling.md#collection) for more details about collection naming.
+>
+> `#!python title: str` *(inherited from Pydantic)*
+> :    Title inferred in the JSON schema.
+>
+> `#!python anystr_strip_whitespace: bool` *(inherited from Pydantic)*
+> :    Whether to strip leading and trailing whitespaces for str & byte types.
+>
+>      Default: `#!python False`
+>
+> `#!python json_encoders: dict` *(inherited from Pydantic)*
+> :    Customize the way types used in the model are encoded to JSON.
+>
+>     ??? example "`json_encoders` example"
+>
+>         For example, in order to serialize `datetime` fields as timestamp values:
+>         ```python
+>         class Event(Model):
+>             date: datetime
+>
+>             class Config:
+>                 json_encoders = {
+>                     datetime: lambda v: v.timestamp()
+>                 }
+>         ```
+>
+> `#!python json_loads` *(inherited from Pydantic)*
+> :    Function used to decode JSON data
+>
+>      Default: `#!python json.loads`
+>
+> `#!python json_dumps` *(inherited from Pydantic)*
+> :    Function used to encode JSON data
+>
+>      Default: `#!python json.dumps`
+
+For more details and examples about the options inherited from Pydantic, you can have a
+look to [Pydantic: Model
+Config](https://pydantic-docs.helpmanual.io/usage/model_config/){:target=blank_}
 
 !!! warning
     Only the options described above are supported and other options from Pydantic can't

odmantic/config.py

@@ -1,4 +1,5 @@
-from typing import Any, Dict, Optional, Type
+import json
+from typing import Any, Callable, Dict, Optional, Type
 
 from pydantic.main import BaseConfig
 from pydantic.typing import AnyCallable
@@ -8,13 +9,18 @@
 
 
 class BaseODMConfig:
-    """Base class of the Config defined in the Models"""
+    """Base class of the Config defined in the Models
+    Defines as well the fields allowed to be passed.
+    """
 
     collection: Optional[str] = None
 
     # Inherited from pydantic
     title: Optional[str] = None
     json_encoders: Dict[Type[Any], AnyCallable] = {}
+    anystr_strip_whitespace: bool = False
+    json_loads: Callable[[str], Any] = json.loads
+    json_dumps: Callable[..., str] = json.dumps
 
 
 ALLOWED_CONFIG_OPTIONS = {name for name in dir(BaseODMConfig) if not is_dunder(name)}