Adds Docs for AllOf and AnyOf

docs/source/usage.allof.rst

@@ -0,0 +1,39 @@
+AllOf Type
+=================
+
+The AllOf type is used to combine multiple schemas into a single schema. It allows you to specify that an object must conform to all of the specified schemas.
+
+
+Examples
+-----------------
+
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+    schema = {
+        "title": "Person",
+        "description": "A person",
+        "type": "object",
+        "properties": {
+            "name": {
+                "allOf": [
+                    {"type": "string", "maxLength": 11},
+                    {"type": "string", "maxLength": 4},
+                    {"type": "string", "minLength": 1},
+                    {"type": "string", "minLength": 2},
+                ]
+            },
+        },
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(name="J")
+    print(obj)  # Output: Person(name='J')
+
+    try:
+        obj = Model(name="")  # This will raise a validation error
+    except ValueError as e:
+        print("Validation fails as expected:", e)  # Output: Validation fails as expected: 1 validation error for Person

docs/source/usage.anyof.rst

@@ -0,0 +1,41 @@
+AnyOf Type
+=================
+
+The AnyOf type is used to specify that an object can conform to any one of the specified schemas. It allows for flexibility in the structure of the data, as it can match multiple possible schemas.
+
+
+Examples
+-----------------
+
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+
+    schema = {
+        "title": "Person",
+        "description": "A person",
+        "type": "object",
+        "properties": {
+            "id": {
+                "anyOf": [
+                    {"type": "integer"},
+                    {"type": "string"},
+                ]
+            },
+        },
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj1 = Model(id="1")
+    print(obj1)  # Output: Person(id='1')
+
+    obj2 = Model(id=1)
+    print(obj2)  # Output: Person(id=1)
+
+    try:
+        obj3 = Model(name=1.1)  # This will raise a validation error
+    except ValueError as e:
+        print("Validation fails as expected:", e)  # Output: Validation fails as expected: 1 validation error for Person

docs/source/usage.reference.rst

@@ -78,4 +78,8 @@ Examples
     but you can access the model class by using the `Model.__fields__` attribute to get the field definitions, 
     or by using the `Model.model_fields` property to get a dictionary of field names and their types.
 
-.. 
+.. warning::
+
+    The JSON Schema Reference specification allows for uri referneces, 
+    but Jambo currently only supports root references (using the `#` symbol) 
+    and def references (using the `$def` property).

docs/source/usage.rst

@@ -34,12 +34,14 @@ If passed a description inside the schema it will also add it to the Pydantic mo
 For more complex schemas and types see our documentation on
 
 .. toctree::
-   :maxdepth: 2
+    :maxdepth: 2
-   :caption: Contents:
+    :caption: Contents:
 
-   usage.string
+    usage.string
-   usage.numeric
+    usage.numeric
-   usage.bool
+    usage.bool
-   usage.array
+    usage.array
-   usage.object
+    usage.object
-   usage.reference
+    usage.reference
+    usage.allof
+    usage.anyof