## ResourceSchema


A concrete resource instance created from a [ResourceTemplateSchema](ResourceTemplateSchema.md#recap.ResourceTemplateSchema).


Usage

``` python
ResourceSchema()
```


Resources are the primary trackable entities in RECAP. They can represent physical objects (plates, samples), digital artifacts (data files), or logical items (computed results). Every resource carries:

- An identity (`~recap.schemas.common.CommonFields.id`, `name`).
- A reference to the template it was created from.
- A hierarchy of child resources (auto-created from the template).
- Property groups populated with live `~recap.schemas.attribute.AttributeValueSchema` values.

Accessing and updating properties::

    well = plate.children["A01"]
    well.properties.content.volume.value   # 10.0
    well.properties.content.volume = 8.5   # mutates in-place

Attributes: name: Display name of this resource instance. template: The [ResourceTemplateSchema](ResourceTemplateSchema.md#recap.ResourceTemplateSchema) this instance was created from. parent: Lightweight reference to the parent resource, or `None` for top-level resources. Excluded from serialisation. children: Mapping of child name → child [ResourceSchema](ResourceSchema.md#recap.ResourceSchema). properties: A dynamically-generated Pydantic model whose fields are the property group slugs, each holding a `PropertySchema`.


## Methods

| Name | Description |
|----|----|
| [build_property_model()](#build_property_model) | Convert the raw `properties` dict into a dynamic Pydantic model. |

------------------------------------------------------------------------


#### build_property_model()


Convert the raw `properties` dict into a dynamic Pydantic model.


Usage

``` python
build_property_model()
```


After the initial parse, `properties` is a mapping of group slug → `PropertySchema`. This validator replaces it with a dynamically-created Pydantic model so that groups can be accessed as normal attributes (`resource.properties.dimensions`).

Idempotent: if `properties` is already a `~pydantic.BaseModel` the validator returns immediately.