Add extra and strict arguments to load config functions, migrate example config

example_data/config.yaml

@@ -1,8 +1,13 @@
+config_version: v1
+
 audio:
   samplerate: 256000
   resample:
-    enabled: True
+    enabled: true
-    method: "poly"
+    method: poly
+
+model:
+  samplerate: 256000
 
   preprocess:
     stft:
@@ -23,12 +28,7 @@ preprocess:
         power: 0.5
       - name: spectral_mean_subtraction
 
-postprocess:
+  architecture:
-  nms_kernel_size: 9
-  detection_threshold: 0.01
-  top_k_per_sec: 200
-
-model:
     name: UNetBackbone
     input_height: 128
     in_channels: 1
@@ -62,6 +62,11 @@ model:
             - name: ConvBlock
               out_channels: 32
 
+  postprocess:
+    nms_kernel_size: 9
+    detection_threshold: 0.01
+    top_k_per_sec: 200
+
 train:
   optimizer:
     name: adam
@@ -80,8 +85,7 @@ train:
 
   train_loader:
     batch_size: 8
-    num_workers: 2
+    shuffle: true
-    shuffle: True
 
     clipping_strategy:
       name: random_subclip
@@ -117,7 +121,6 @@ train:
           max_masks: 3
 
   val_loader:
-    num_workers: 2
     clipping_strategy:
       name: whole_audio_padded
       chunk_size: 0.256
@@ -136,9 +139,6 @@ train:
     size:
       weight: 0.1
 
-  logger:
-    name: csv
-
   validation:
     tasks:
       - name: sound_event_detection
@@ -148,6 +148,10 @@ train:
         metrics:
           - name: average_precision
 
+logging:
+  train:
+    name: csv
+
 evaluation:
   tasks:
     - name: sound_event_detection

src/batdetect2/core/configs.py

@@ -8,7 +8,7 @@ configuration data from files, with optional support for accessing nested
 configuration sections.
 """
 
-from typing import Any, Type, TypeVar, overload
+from typing import Any, Literal, Type, TypeVar, overload
 
 import yaml
 from deepmerge.merger import Merger
@@ -69,8 +69,20 @@ class BaseConfig(BaseModel):
         return cls.model_validate(yaml.safe_load(yaml_str))
 
     @classmethod
-    def load(cls: Type[C], path: PathLike, field: str | None = None) -> C:
+    def load(
-        return load_config(path, schema=cls, field=field)
+        cls: Type[C],
+        path: PathLike,
+        field: str | None = None,
+        extra: Literal["ignore", "allow", "forbid"] | None = None,
+        strict: bool | None = None,
+    ) -> C:
+        return load_config(
+            path,
+            schema=cls,
+            field=field,
+            extra=extra,
+            strict=strict,
+        )
 
 
 T = TypeVar("T")
@@ -142,6 +154,8 @@ def load_config(
     path: PathLike,
     schema: Type[T_Model],
     field: str | None = None,
+    extra: Literal["ignore", "allow", "forbid"] | None = None,
+    strict: bool | None = None,
 ) -> T_Model: ...
 
 
@@ -150,6 +164,8 @@ def load_config(
     path: PathLike,
     schema: TypeAdapter[T],
     field: str | None = None,
+    extra: Literal["ignore", "allow", "forbid"] | None = None,
+    strict: bool | None = None,
 ) -> T: ...
 
 
@@ -157,6 +173,8 @@ def load_config(
     path: PathLike,
     schema: Type[T_Model] | TypeAdapter[T],
     field: str | None = None,
+    extra: Literal["ignore", "allow", "forbid"] | None = None,
+    strict: bool | None = None,
 ) -> T_Model | T:
     """Load and validate configuration data from a file against a schema.
 
@@ -178,6 +196,17 @@ def load_config(
         file content is validated against the schema.
         Example: `"training.optimizer"` would extract the `optimizer` section
         within the `training` section.
+    extra : Literal["ignore", "allow", "forbid"], optional
+        How to handle extra keys in the configuration data. If None (default),
+        the default behaviour of the schema is used. If "ignore", extra keys
+        are ignored. If "allow", extra keys are allowed and will be accessible
+        as attributes on the resulting model instance. If "forbid", extra
+        keys are forbidden and an exception is raised. See pydantic
+        documentation for more details.
+    strict : bool, optional
+        Whether to enforce types strictly. If None (default), the default
+        behaviour of the schema is used. See pydantic documentation for more
+        details.
 
     Returns
     -------
@@ -209,9 +238,9 @@ def load_config(
         config = get_object_field(config, field)
 
     if isinstance(schema, TypeAdapter):
-        return schema.validate_python(config or {})
+        return schema.validate_python(config or {}, extra=extra, strict=strict)
 
-    return schema.model_validate(config or {})
+    return schema.model_validate(config or {}, extra=extra, strict=strict)
 
 
 default_merger = Merger(

tests/test_models/test_backbones.py

@@ -204,7 +204,7 @@ def test_load_backbone_config_from_example_data(example_data_dir: Path):
     """load_backbone_config loads the real example config correctly."""
     config = load_backbone_config(
         example_data_dir / "config.yaml",
-        field="model",
+        field="model.architecture",
     )
 
     assert isinstance(config, UNetBackboneConfig)

tests/test_train/test_config.py

@@ -6,5 +6,7 @@ def test_example_config_is_valid(example_data_dir):
     conf = load_config(
         example_data_dir / "config.yaml",
         schema=BatDetect2Config,
+        extra="forbid",
+        strict=True,
     )
     assert isinstance(conf, BatDetect2Config)