Merge pull request #31 from HideyoshiNakazone/project/revises-roadmap

Revises Roadmap

.github/FUNDING.yml

@@ -0,0 +1,15 @@
+# These are supported funding model platforms
+
+github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
+patreon: # Replace with a single Patreon username
+open_collective: # Replace with a single Open Collective username
+ko_fi: hideyoshinakazone
+tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
+community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
+liberapay: # Replace with a single Liberapay username
+issuehunt: # Replace with a single IssueHunt username
+lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
+polar: # Replace with a single Polar username
+buy_me_a_coffee: # Replace with a single Buy Me a Coffee username
+thanks_dev: # Replace with a single thanks.dev username
+custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']

.github/ISSUE_TEMPLATE/bug_report.md

@@ -0,0 +1,25 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: "[BUG] Title Here"
+labels: enhancement
+assignees: HideyoshiNakazone
+
+---
+
+**Describe the bug**
+A clear and concise description of what the bug is.
+
+**To Reproduce**
+Steps to reproduce the behavior
+
+**Expected behavior**
+A clear and concise description of what you expected to happen.
+
+**Environment Information:**
+ - Python: 
+ - Jambo Version: 
+ - Pydantic: 
+
+**Additional context**
+Add any other context about the problem here.

.github/ISSUE_TEMPLATE/feature_request.md

@@ -0,0 +1,16 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: "[FEATURE REQUEST] Title Here"
+labels: enhancement
+assignees: HideyoshiNakazone
+
+---
+
+**Is this a [Json Schema](https://json-schema.org/specification) Keyword that is missing?** [yes|no]
+
+**Describe the solution you'd like**
+A clear and concise description of what you want to happen.
+
+**Additional context**
+Add any other context or screenshots about the feature request here.

.github/workflows/build.yml

@@ -2,7 +2,10 @@ name: Test and Publish
 
 
 on:
-  push
+  push:
+  pull_request:
+    branches:
+      - main
 
 permissions:
   contents: read
@@ -11,6 +14,8 @@ jobs:
   test:
     name: run-tests
     runs-on: ubuntu-latest
+    if: github.event_name != 'pull_request' ||
+      github.event.pull_request.head.repo.full_name != github.event.pull_request.base.repo.full_name
     strategy:
       matrix:
         python-version:
@@ -35,7 +40,15 @@ jobs:
         run: uv sync --all-extras --dev
 
       - name: Run tests
-        run: uv run poe tests
+        run: |
+          uv run poe tests
+          uv run poe tests-report
+
+      - name: Upload coverage reports to Codecov
+        uses: codecov/codecov-action@v5
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+        if: matrix.python-version == '3.10'
 
   publish:
     name: publish

.readthedocs.yaml

@@ -0,0 +1,22 @@
+version: 2
+
+# Specify os and python version
+build:
+  os: "ubuntu-24.04"
+  tools:
+    python: "3.12"
+  jobs:
+    create_environment:
+      - asdf plugin add uv
+      - asdf install uv latest
+      - asdf global uv latest
+      - UV_PROJECT_ENVIRONMENT=$READTHEDOCS_VIRTUALENV_PATH uv sync --all-extras
+    install:
+      - "true"
+
+# Build documentation in the docs/ directory with Sphinx
+sphinx:
+  configuration: docs/source/conf.py
+
+# Optionally build your docs in additional formats such as PDF and ePub
+formats: all

README.md

@@ -5,6 +5,9 @@
  <img src="https://img.shields.io/github/last-commit/HideyoshiNakazone/jambo.svg">
  <img src="https://github.com/HideyoshiNakazone/jambo/actions/workflows/build.yml/badge.svg" alt="Tests">
 </a>
+<a href="https://codecov.io/gh/HideyoshiNakazone/jambo" target="_blank">
+    <img src="https://codecov.io/gh/HideyoshiNakazone/jambo/branch/main/graph/badge.svg" alt="Coverage">
+</a>
 <br />
 <a href="https://pypi.org/project/jambo" target="_blank">
     <img src="https://badge.fury.io/py/jambo.svg" alt="Package version">
@@ -24,10 +27,21 @@ Created to simplifying the process of dynamically generating Pydantic models for
 
 ## ✨ Features
 
-- ✅ Convert JSON Schema into Pydantic models dynamically
+- ✅ Convert JSON Schema into Pydantic models dynamically;
-- 🔒 Supports validation for strings, integers, floats, booleans, arrays, and nested objects
+- 🔒 Supports validation for:
-- ⚙️ Enforces constraints like `minLength`, `maxLength`, `pattern`, `minimum`, `maximum`, `uniqueItems`, and more
+    - strings
-- 📦 Zero config — just pass your schema and get a model
+    - integers
+    - floats
+    - booleans
+    - arrays
+    - nested objects
+    - allOf
+    - anyOf
+    - ref
+    - enum
+    - const
+- ⚙️ Enforces constraints like `minLength`, `maxLength`, `pattern`, `minimum`, `maximum`, `uniqueItems`, and more;
+- 📦 Zero config — just pass your schema and get a model.
 
 ---
 
@@ -42,7 +56,8 @@ pip install jambo
 ## 🚀 Usage
 
 ```python
-from jambo.schema_converter import SchemaConverter
+from jambo import SchemaConverter
+
 
 schema = {
     "title": "Person",
@@ -64,9 +79,14 @@ print(obj)
 
 ## ✅ Example Validations
 
+Following are some examples of how to use Jambo to create Pydantic models with various JSON Schema features, but for more information, please refer to the [documentation](https://jambo.readthedocs.io/).
+
 ### Strings with constraints
 
 ```python
+from jambo import SchemaConverter
+
+
 schema = {
     "title": "EmailExample",
     "type": "object",
@@ -89,6 +109,9 @@ print(obj)
 ### Integers with bounds
 
 ```python
+from jambo import SchemaConverter
+
+
 schema = {
     "title": "AgeExample",
     "type": "object",
@@ -106,6 +129,9 @@ print(obj)
 ### Nested Objects
 
 ```python
+from jambo import SchemaConverter
+
+
 schema = {
     "title": "NestedObjectExample",
     "type": "object",
@@ -127,6 +153,41 @@ obj = Model(address={"street": "Main St", "city": "Gotham"})
 print(obj)
 ```
 
+### References
+
+```python
+from jambo import SchemaConverter
+
+
+schema = {
+    "title": "person",
+    "$ref": "#/$defs/person",
+    "$defs": {
+        "person": {
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+                "emergency_contact": {
+                    "$ref": "#/$defs/person",
+                },
+            },
+        }
+    },
+}
+
+model = SchemaConverter.build(schema)
+
+obj = model(
+    name="John",
+    age=30,
+    emergency_contact=model(
+        name="Jane",
+        age=28,
+    ),
+)
+```
+
 ---
 
 ## 🧪 Running Tests
@@ -167,9 +228,6 @@ poe create-hooks
 
 ## 📌 Roadmap / TODO
 
-- [ ] Support for `enum` and `const`
-- [ ] Support for `anyOf`, `allOf`, `oneOf`
-- [ ] Schema ref (`$ref`) resolution
 - [ ] Better error reporting for unsupported schema types
 
 ---

docs/Makefile

@@ -0,0 +1,29 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS    ?=
+SPHINXBUILD   ?= sphinx-build
+SPHINXAPIDOC  ?= sphinx-apidoc
+SOURCEDIR     = source
+BUILDDIR      = build
+SCANEDDIR     = ../jambo
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+rescan:
+	$(SPHINXAPIDOC) -f -o $(SOURCEDIR) $(SCANEDDIR) $(EXCLUDEDIR)
+
+
+clean:
+	rm -rf $(BUILDDIR)/*
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

docs/make.bat

@@ -0,0 +1,35 @@
+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=source
+set BUILDDIR=build
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
+	echo.installed, then set the SPHINXBUILD environment variable to point
+	echo.to the full path of the 'sphinx-build' executable. Alternatively you
+	echo.may add the Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.https://www.sphinx-doc.org/
+	exit /b 1
+)
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+
+:end
+popd

docs/source/conf.py

@@ -0,0 +1,37 @@
+# Configuration file for the Sphinx documentation builder.
+#
+# For the full list of built-in configuration values, see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+# -- Project information -----------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
+
+project = "jambo"
+copyright = "2025, Vitor Hideyoshi"
+author = "Vitor Hideyoshi"
+
+# -- General configuration ---------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
+
+extensions = [
+    "sphinx.ext.todo",
+    "sphinx.ext.viewcode",
+    "sphinx.ext.autodoc",
+    "sphinx.ext.napoleon",
+]
+
+
+templates_path = ["_templates"]
+exclude_patterns = []
+
+
+# -- Options for HTML output -------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
+
+html_theme = "sphinx_rtd_theme"
+html_static_path = ["_static"]
+
+
+# -- Options for autodoc -----------------------------------------------------
+add_module_names = False
+python_use_unqualified_type_names = True

docs/source/index.rst

@@ -0,0 +1,33 @@
+.. jambo documentation master file, created by
+   sphinx-quickstart on Thu Jun 19 22:20:35 2025.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+Jambo - JSON Schema to Pydantic Converter
+=========================================
+
+This is the documentation for Jambo, a tool that converts JSON Schema definitions into Pydantic models.
+Welcome to Jambo's documentation!
+
+
+Jambo is a Python package that automatically converts JSON Schema definitions into Pydantic models. It's designed to streamline schema validation and enforce type safety using Pydantic's powerful validation features.
+
+Created to simplifying the process of dynamically generating Pydantic models for AI frameworks like LangChain, CrewAI, and others.
+
+
+Installation
+------------------
+
+You can install Jambo using pip:
+
+.. code-block:: bash
+
+   pip install jambo
+
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Contents:
+
+   usage
+   modules

docs/source/jambo.parser.rst

@@ -0,0 +1,85 @@
+jambo.parser package
+====================
+
+Submodules
+----------
+
+jambo.parser.allof\_type\_parser module
+---------------------------------------
+
+.. automodule:: jambo.parser.allof_type_parser
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+jambo.parser.anyof\_type\_parser module
+---------------------------------------
+
+.. automodule:: jambo.parser.anyof_type_parser
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+jambo.parser.array\_type\_parser module
+---------------------------------------
+
+.. automodule:: jambo.parser.array_type_parser
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+jambo.parser.boolean\_type\_parser module
+-----------------------------------------
+
+.. automodule:: jambo.parser.boolean_type_parser
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+jambo.parser.float\_type\_parser module
+---------------------------------------
+
+.. automodule:: jambo.parser.float_type_parser
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+jambo.parser.int\_type\_parser module
+-------------------------------------
+
+.. automodule:: jambo.parser.int_type_parser
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+jambo.parser.object\_type\_parser module
+----------------------------------------
+
+.. automodule:: jambo.parser.object_type_parser
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+jambo.parser.ref\_type\_parser module
+-------------------------------------
+
+.. automodule:: jambo.parser.ref_type_parser
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+jambo.parser.string\_type\_parser module
+----------------------------------------
+
+.. automodule:: jambo.parser.string_type_parser
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+Module contents
+---------------
+
+.. automodule:: jambo.parser
+   :members:
+   :show-inheritance:
+   :undoc-members:

docs/source/jambo.rst

@@ -0,0 +1,30 @@
+jambo package
+=============
+
+Subpackages
+-----------
+
+.. toctree::
+   :maxdepth: 4
+
+   jambo.parser
+   jambo.types
+
+Submodules
+----------
+
+jambo.schema\_converter module
+------------------------------
+
+.. automodule:: jambo.schema_converter
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+Module contents
+---------------
+
+.. automodule:: jambo
+   :members:
+   :show-inheritance:
+   :undoc-members:

docs/source/jambo.types.rst

@@ -0,0 +1,29 @@
+jambo.types package
+===================
+
+Submodules
+----------
+
+jambo.types.json\_schema\_type module
+-------------------------------------
+
+.. automodule:: jambo.types.json_schema_type
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+jambo.types.type\_parser\_options module
+----------------------------------------
+
+.. automodule:: jambo.types.type_parser_options
+   :members:
+   :show-inheritance:
+   :undoc-members:
+
+Module contents
+---------------
+
+.. automodule:: jambo.types
+   :members:
+   :show-inheritance:
+   :undoc-members:

docs/source/modules.rst

@@ -0,0 +1,7 @@
+jambo
+=====
+
+.. toctree::
+   :maxdepth: 4
+
+   jambo

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.array.rst

@@ -0,0 +1,86 @@
+Array Type
+=================
+
+
+The Array type has the following required properties:
+
+- items: Schema for the items in the array, which can be a type or a schema object.
+
+And the additional supported properties:
+
+- maxItems: Maximum number of items in the array.
+- minItems: Minimum number of items in the array.
+- uniqueItems: If true, all items in the array must be unique.
+
+And the additional generic properties:
+
+- default: Default value for the array.
+- description: Description of the array field.
+
+
+Examples
+-----------------
+
+
+1. Basic Array with maxItems and minItems:
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+
+    schema = {
+        "title": "ArrayExample",
+        "type": "object",
+        "properties": {
+            "tags": {
+                "type": "array",
+                "items": {"type": "string"},
+                "minItems": 1,
+                "maxItems": 5,
+            },
+        },
+        "required": ["tags"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(tags=["python", "jambo", "pydantic"])
+    print(obj) # Output: ArrayExample(tags=['python', 'jambo', 'pydantic'])
+
+
+    try:
+        obj = Model(tags=[])  # 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 ArrayExample
+
+
+2. Array with uniqueItems:
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+
+    schema = {
+        "title": "UniqueArrayExample",
+        "type": "object",
+        "properties": {
+            "unique_tags": {
+                "type": "array",
+                "items": {"type": "string"},
+                "uniqueItems": True,
+            },
+        },
+        "required": ["unique_tags"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(unique_tags=["python", "jambo", "pydantic"])
+    print(obj)  # Output: UniqueArrayExample(unique_tags={'python', 'jambo', 'pydantic'})
+
+    try:
+        obj = Model(unique_tags=["python", "jambo", "python"])  # 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 UniqueArrayExample

docs/source/usage.bool.rst

@@ -0,0 +1,34 @@
+Bool Types
+=================
+
+
+The Bool type has no specific properties, it has only the generic properties:
+
+- default: Default value for the string.
+- description: Description of the string field.
+
+
+Examples
+-----------------
+
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+
+    schema = {
+        "title": "BoolExample",
+        "type": "object",
+        "properties": {
+            "is_active": {
+                "type": "boolean",
+            },
+        },
+        "required": ["is_active"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(is_active=True)
+    print(obj) # Output: BoolExample(is_active=True)

docs/source/usage.const.rst

@@ -0,0 +1,40 @@
+Const Type
+=================
+
+The const type is a special data type that allows a variable to be a single, fixed value.
+It does not have the same properties as the other generic types, but it has the following specific properties:
+
+- const: The fixed value that the variable must always hold.
+- description: Description of the const field.
+
+
+Examples
+-----------------
+
+
+.. code-block:: python
+    
+    from jambo import SchemaConverter
+
+
+    schema = {
+        "title": "Country",
+        "type": "object",
+        "properties": {
+            "name": {
+                "const": "United States of America",
+            }
+        },
+        "required": ["name"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model()
+    self.assertEqual(obj.name, "United States of America")
+
+    with self.assertRaises(ValueError):
+        obj.name = "Canada"
+
+    with self.assertRaises(ValueError):
+        Model(name="Canada")

docs/source/usage.enum.rst

@@ -0,0 +1,37 @@
+Enum Type
+==================
+
+An enum type is a special data type that enables a variable to be a set of predefined constants. The enum type is used to define variables that can only take one out of a small set of possible values.
+
+It does not have any specific properties, but it has the generic properties:
+
+- default: Default value for the enum.
+- description: Description of the enum field.
+
+
+Examples
+-----------------
+
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+    schema = {
+        "title": "EnumExample",
+        "type": "object",
+        "properties": {
+            "status": {
+                "type": "string",
+                "enum": ["active", "inactive", "pending"],
+                "description": "The status of the object.",
+                "default": "active",
+            },
+        },
+        "required": ["status"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(status="active")
+    print(obj)  # Output: EnumExample(status=status.ACTIVE)

docs/source/usage.numeric.rst

@@ -0,0 +1,118 @@
+Numeric Types
+=================
+
+
+The Numeric Types (integer, number) have the following supported properties:
+
+- minimum: Minimum value for the number.
+- maximum: Maximum value for the number.
+- exclusiveMinimum: If true, the value must be greater than the minimum.
+- exclusiveMaximum: If true, the value must be less than the maximum.
+- multipleOf: The value must be a multiple of this number.
+
+And the additional generic properties:
+
+- default: Default value for the string.
+- description: Description of the string field.
+
+
+Examples
+-----------------
+
+
+1. Basic Integer with minimum and maximum:
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+    schema = {
+        "title": "IntegerExample",
+        "type": "object",
+        "properties": {
+            "age": {
+                "type": "integer",
+                "minimum": 0,
+                "maximum": 120,
+            },
+        },
+        "required": ["age"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(age=30)
+    print(obj) # Output: IntegerExample(age=30)
+
+    try:
+        obj = Model(age=-5)  # 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 IntegerExample
+
+
+2. Number with exclusiveMinimum and exclusiveMaximum:
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+    schema = {
+        "title": "NumberExample",
+        "type": "object",
+        "properties": {
+            "price": {
+                "type": "number",
+                "exclusiveMinimum": 0,
+                "exclusiveMaximum": 1000,
+            },
+        },
+        "required": ["price"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(price=1)
+    print(obj) # Output: NumberExample(price=1)
+
+    try:
+        obj = Model(price=0)  # 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 NumberExample
+
+
+    obj = Model(price=999)
+    print(obj) # Output: NumberExample(price=999)
+
+    try:
+        obj = Model(price=1000)  # 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 NumberExample
+
+
+3. Number with multipleOf:
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+    schema = {
+        "title": "MultipleOfExample",
+        "type": "object",
+        "properties": {
+            "quantity": {
+                "type": "number",
+                "multipleOf": 0.5,
+            },
+        },
+        "required": ["quantity"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(quantity=2.5)
+    print(obj) # Output: MultipleOfExample(quantity=2.5)
+
+    try:
+        obj = Model(quantity=2.3)  # 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 MultipleOfExample

docs/source/usage.object.rst

@@ -0,0 +1,46 @@
+Object Type
+=================
+
+
+The Bool type has no specific properties, it has only the generic properties:
+
+- default: Default value for the string.
+- description: Description of the string field.
+
+
+Examples
+-----------------
+
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+    schema = {
+        "title": "Person",
+        "type": "object",
+        "properties": {
+            "address": {
+                "type": "object",
+                "properties": {
+                    "street": {"type": "string"},
+                    "city": {"type": "string"},
+                },
+                "default": {
+                    "street": "Unknown Street",
+                    "city": "Unknown City",
+                },
+            },
+        },
+        "description": "A person object containing a address.",
+        "required": ["address"],
+    }
+
+
+    Person = SchemaConverter.build(schema)
+
+    obj = Person.model_validate({ "address": {"street": "123 Main St", "city": "Springfield"} })
+    print(obj) # Output: Person(address=Address(street='123 Main St', city='Springfield'))
+
+    obj_default = Person()  # Uses default values
+    print(obj_default)  # Output: Person(address=Address(street='Unknown Street', city='Unknown City'))

docs/source/usage.reference.rst

@@ -0,0 +1,85 @@
+Reference Type
+===================
+
+The Reference type allows you to reference another schema by its `$ref` property. This is useful for reusing schemas across your application.
+
+The Reference type has no specific properties, it has only the generic properties:
+
+- default: Default value for the reference.
+- description: Description of the reference field.
+
+
+Examples
+-----------------
+
+1. Reference to the Root schema:
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+    schema = {
+        "title": "Person",
+        "type": "object",
+        "properties": {
+            "name": {"type": "string"},
+            "age": {"type": "integer"},
+            "emergency_contact": {
+                "$ref": "#"
+            }
+        },
+        "required": ["name"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(name="Alice", age=30, emergency_contact=Model(name="Bob", age=25))
+    print(obj) # Output: Person(name='Alice', age=30, emergency_contact=Person(name='Bob', age=25))
+
+
+2. Reference to a Def Schema:
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+    schema = {
+        "title": "Person",
+        "type": "object",
+        "properties": {
+            "name": {"type": "string"},
+            "age": {"type": "integer"},
+            "address": {
+                "$ref": "#/$defs/Address"
+            }
+        },
+        "required": ["name"],
+        "$defs": {
+            "Address": {
+                "type": "object",
+                "properties": {
+                    "street": {"type": "string"},
+                    "city": {"type": "string"},
+                },
+                "required": ["street", "city"],
+            }
+        },
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(name="Alice", age=30, address={"street": "123 Main St", "city": "Springfield"})
+    print(obj) # Output: Person(name='Alice', age=30, address=Address(street='123 Main St', city='Springfield'))
+
+
+.. note::
+
+    At the moment, Jambo doesn't have a way to expose the class definition :py:class:`Address` defined inside the `$defs` property,
+    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

@@ -0,0 +1,49 @@
+Using Jambo
+===================
+
+Jambo is designed to be easy to use, it doesn't require any complex setup or configuration.
+Below a example of how to use Jambo to convert a JSON Schema into a Pydantic model.
+
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+    schema = {
+        "title": "Person",
+        "type": "object",
+        "properties": {
+            "name": {"type": "string"},
+            "age": {"type": "integer"},
+        },
+        "required": ["name"],
+    }
+
+    Person = SchemaConverter.build(schema)
+
+    obj = Person(name="Alice", age=30)
+    print(obj)
+    # Output: Person(name='Alice', age=30)
+
+
+The :py:meth:`SchemaConverter.build <jambo.SchemaConverter.build>` static method takes a JSON Schema dictionary and returns a Pydantic model class. You can then instantiate this class with the required fields, and it will automatically validate the data according to the schema.
+
+If passed a description inside the schema it will also add it to the Pydantic model using the `description` field. This is useful for AI Frameworks as: LangChain, CrewAI and others, as they use this description for passing context to LLMs.
+
+
+For more complex schemas and types see our documentation on
+
+.. toctree::
+    :maxdepth: 2
+    :caption: Contents:
+
+    usage.string
+    usage.numeric
+    usage.bool
+    usage.array
+    usage.object
+    usage.reference
+    usage.allof
+    usage.anyof
+    usage.enum
+    usage.const

docs/source/usage.string.rst

@@ -0,0 +1,107 @@
+String Type
+=================
+
+The String type has the following supported properties:
+
+- maxLength: Maximum length of the string.
+- minLength: Minimum length of the string.
+- pattern: Regular expression pattern that the string must match.
+- format: A string format that can be used to validate the string (e.g., "email", "uri").
+
+And the additional generic properties:
+
+- default: Default value for the string.
+- description: Description of the string field.
+
+
+Examples
+-----------------
+
+1. Basic String with maxLength and minLength:
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+
+    schema = {
+        "title": "StringExample",
+        "type": "object",
+        "properties": {
+            "attr1": {
+                "type": "string",
+                "minLength": 5,
+                "maxLength": 50,
+            },
+        },
+        "required": ["attr1"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(attr1="this_is_a_valid_string")
+    print(obj)
+    # Output: StringExample(attr1='this_is_a_valid_string')
+
+2. String with pattern and format:
+
+
+Pattern example:
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+
+    schema = {
+        "title": "StringExample",
+        "type": "object",
+        "properties": {
+            "email": {
+                "type": "string",
+                "pattern": r"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$",
+            },
+        },
+        "required": ["email"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(email="test@email.com")
+    print(obj)
+    # Output: StringExample(email='test@email.com')
+
+    try:
+        Model(email="invalid-email")
+    except ValueError as e:
+        print("Validation Failed as Expected")  # Output: Validation Failed as Expected
+
+
+Format example:
+
+.. code-block:: python
+
+    from jambo import SchemaConverter
+
+    schema = {
+        "title": "StringExample",
+        "type": "object",
+        "properties": {
+            "email": {
+                "type": "string",
+                "format": "email",
+            },
+        },
+        "required": ["email"],
+    }
+
+    Model = SchemaConverter.build(schema)
+
+    obj = Model(email="test@email.com")
+    print(obj) 
+    # Output: StringExample(email='test@email.com')
+
+    try:
+        Model(email="invalid-email")
+    except ValueError as e:
+        print("Validation Failed as Expected")  # Output: Validation Failed as Expected

jambo/__init__.py

@@ -0,0 +1,6 @@
+from .schema_converter import SchemaConverter
+
+
+__all__ = [
+    "SchemaConverter"  # Exports the schema converter class for external use
+]

jambo/parser/__init__.py

@@ -1,10 +1,28 @@
-# Exports generic type parser
+from ._type_parser import GenericTypeParser
-from ._type_parser import GenericTypeParser as GenericTypeParser
+from .allof_type_parser import AllOfTypeParser
+from .anyof_type_parser import AnyOfTypeParser
+from .array_type_parser import ArrayTypeParser
+from .boolean_type_parser import BooleanTypeParser
+from .const_type_parser import ConstTypeParser
+from .enum_type_parser import EnumTypeParser
+from .float_type_parser import FloatTypeParser
+from .int_type_parser import IntTypeParser
+from .object_type_parser import ObjectTypeParser
+from .ref_type_parser import RefTypeParser
+from .string_type_parser import StringTypeParser
 
-# Exports Implementations
+
-from .int_type_parser import IntTypeParser as IntTypeParser
+__all__ = [
-from .object_type_parser import ObjectTypeParser as ObjectTypeParser
+    "GenericTypeParser",
-from .string_type_parser import StringTypeParser as StringTypeParser
+    "EnumTypeParser",
-from .array_type_parser import ArrayTypeParser as ArrayTypeParser
+    "ConstTypeParser",
-from .boolean_type_parser import BooleanTypeParser as BooleanTypeParser
+    "AllOfTypeParser",
-from .float_type_parser import FloatTypeParser as FloatTypeParser
+    "AnyOfTypeParser",
+    "ArrayTypeParser",
+    "BooleanTypeParser",
+    "FloatTypeParser",
+    "IntTypeParser",
+    "ObjectTypeParser",
+    "StringTypeParser",
+    "RefTypeParser",
+]

jambo/parser/_type_parser.py

@@ -1,31 +1,126 @@
-from abc import ABC, abstractmethod
+from jambo.types.type_parser_options import TypeParserOptions
-from typing import Generic, TypeVar
+
-from typing_extensions import Self
+from pydantic import Field, TypeAdapter
+from typing_extensions import Annotated, Any, Generic, Self, TypeVar, Unpack
+
+from abc import ABC, abstractmethod
 
-from pydantic import Field
 
 T = TypeVar("T")
 
 
 class GenericTypeParser(ABC, Generic[T]):
-    @property
+    json_schema_type: str = None
-    @abstractmethod
-    def mapped_type(self) -> type[T]: ...
 
-    @property
+    type_mappings: dict[str, str] = {}
-    @abstractmethod
+
-    def json_schema_type(self) -> str: ...
+    default_mappings = {
+        "default": "default",
+        "description": "description",
+    }
 
-    @staticmethod
     @abstractmethod
+    def from_properties_impl(
+        self, name: str, properties: dict[str, Any], **kwargs: Unpack[TypeParserOptions]
+    ) -> tuple[T, dict]:
+        """
+        Abstract method to convert properties to a type and its fields properties.
+        :param name: The name of the type.
+        :param properties: The properties of the type.
+        :param kwargs: Additional options for type parsing.
+        :return: A tuple containing the type and its properties.
+        """
+
     def from_properties(
-        name: str, properties: dict[str, any]
+        self, name: str, properties: dict[str, Any], **kwargs: Unpack[TypeParserOptions]
-    ) -> tuple[type[T], Field]: ...
+    ) -> tuple[T, dict]:
+        """
+        Converts properties to a type and its fields properties.
+        :param name: The name of the type.
+        :param properties: The properties of the type.
+        :param kwargs: Additional options for type parsing.
+        :return: A tuple containing the type and its properties.
+        """
+        parsed_type, parsed_properties = self.from_properties_impl(
+            name, properties, **kwargs
+        )
+
+        if not self._validate_default(parsed_type, parsed_properties):
+            raise ValueError(
+                f"Default value {properties.get('default')} is not valid for type {parsed_type.__name__}"
+            )
+
+        return parsed_type, parsed_properties
 
     @classmethod
-    def get_impl(cls, type_name: str) -> Self:
+    def type_from_properties(
+        cls, name: str, properties: dict[str, Any], **kwargs: Unpack[TypeParserOptions]
+    ) -> tuple[type, dict]:
+        """
+        Factory method to fetch the appropriate type parser based on properties
+        and generates the equivalent type and fields.
+        :param name: The name of the type to be created.
+        :param properties: The properties that define the type.
+        :param kwargs: Additional options for type parsing.
+        :return: A tuple containing the type and its properties.
+        """
+        parser = cls._get_impl(properties)
+
+        return parser().from_properties(name=name, properties=properties, **kwargs)
+
+    @classmethod
+    def _get_impl(cls, properties: dict[str, Any]) -> type[Self]:
         for subcls in cls.__subclasses__():
-            if subcls.json_schema_type == type_name:
+            schema_type, schema_value = subcls._get_schema_type()
+
+            if schema_type not in properties:
+                continue
+
+            if schema_value is None or schema_value == properties[schema_type]:
                 return subcls
 
-        raise ValueError(f"Unknown type: {type_name}")
+        raise ValueError("Unknown type")
+
+    @classmethod
+    def _get_schema_type(cls) -> tuple[str, str | None]:
+        if cls.json_schema_type is None:
+            raise RuntimeError(
+                f"TypeParser: json_schema_type not defined for subclass {cls.__name__}"
+            )
+
+        schema_definition = cls.json_schema_type.split(":")
+
+        if len(schema_definition) == 1:
+            return schema_definition[0], None
+
+        return schema_definition[0], schema_definition[1]
+
+    def mappings_properties_builder(
+        self, properties, **kwargs: Unpack[TypeParserOptions]
+    ) -> dict[str, Any]:
+        if not kwargs.get("required", False):
+            properties["default"] = properties.get("default", None)
+
+        mappings = self.default_mappings | self.type_mappings
+
+        return {
+            mappings[key]: value for key, value in properties.items() if key in mappings
+        }
+
+    @staticmethod
+    def _validate_default(field_type: type, field_prop: dict) -> bool:
+        value = field_prop.get("default")
+
+        if value is None and field_prop.get("default_factory") is not None:
+            value = field_prop["default_factory"]()
+
+        if value is None:
+            return True
+
+        try:
+            field = Annotated[field_type, Field(**field_prop)]
+            TypeAdapter(field).validate_python(value)
+        except Exception as _:
+            return False
+
+        return True

jambo/parser/allof_type_parser.py

@@ -0,0 +1,98 @@
+from jambo.parser._type_parser import GenericTypeParser
+from jambo.types.type_parser_options import TypeParserOptions
+
+from typing_extensions import Any, Unpack
+
+
+class AllOfTypeParser(GenericTypeParser):
+    mapped_type = any
+
+    json_schema_type = "allOf"
+
+    def from_properties_impl(
+        self, name, properties, **kwargs: Unpack[TypeParserOptions]
+    ):
+        sub_properties = properties.get("allOf", [])
+
+        root_type = properties.get("type")
+        if root_type is not None:
+            for sub_property in sub_properties:
+                sub_property["type"] = root_type
+
+        parser = self._get_type_parser(sub_properties)
+
+        combined_properties = self._rebuild_properties_from_subproperties(
+            sub_properties
+        )
+
+        return parser().from_properties_impl(name, combined_properties, **kwargs)
+
+    @staticmethod
+    def _get_type_parser(
+        sub_properties: list[dict[str, Any]],
+    ) -> type[GenericTypeParser]:
+        if not sub_properties:
+            raise ValueError("Invalid JSON Schema: 'allOf' is empty.")
+
+        parsers = set(
+            GenericTypeParser._get_impl(sub_property) for sub_property in sub_properties
+        )
+        if len(parsers) != 1:
+            raise ValueError("Invalid JSON Schema: allOf types do not match.")
+
+        return parsers.pop()
+
+    @staticmethod
+    def _rebuild_properties_from_subproperties(
+        sub_properties: list[dict[str, Any]],
+    ) -> dict[str, Any]:
+        properties = {}
+        for subProperty in sub_properties:
+            for name, prop in subProperty.items():
+                if name not in properties:
+                    properties[name] = prop
+                else:
+                    # Merge properties if they exist in both sub-properties
+                    properties[name] = AllOfTypeParser._validate_prop(
+                        name, properties[name], prop
+                    )
+        return properties
+
+    @staticmethod
+    def _validate_prop(prop_name, old_value, new_value):
+        if prop_name == "description":
+            return f"{old_value} | {new_value}"
+
+        if prop_name == "default":
+            if old_value != new_value:
+                raise ValueError(
+                    f"Invalid JSON Schema: conflicting defaults for '{prop_name}'"
+                )
+            return old_value
+
+        if prop_name == "required":
+            return old_value + new_value
+
+        if prop_name in ("maxLength", "maximum", "exclusiveMaximum"):
+            return old_value if old_value > new_value else new_value
+
+        if prop_name in ("minLength", "minimum", "exclusiveMinimum"):
+            return old_value if old_value < new_value else new_value
+
+        if prop_name == "properties":
+            for key, value in new_value.items():
+                if key not in old_value:
+                    old_value[key] = value
+                    continue
+
+                for sub_key, sub_value in value.items():
+                    if sub_key not in old_value[key]:
+                        old_value[key][sub_key] = sub_value
+                    else:
+                        # Merge properties if they exist in both sub-properties
+                        old_value[key][sub_key] = AllOfTypeParser._validate_prop(
+                            sub_key, old_value[key][sub_key], sub_value
+                        )
+
+        # Handle other properties by just returning the first valued
+        return old_value

jambo/parser/anyof_type_parser.py

@@ -0,0 +1,41 @@
+from jambo.parser._type_parser import GenericTypeParser
+from jambo.types.type_parser_options import TypeParserOptions
+
+from pydantic import Field
+from typing_extensions import Annotated, Union, Unpack
+
+
+class AnyOfTypeParser(GenericTypeParser):
+    mapped_type = Union
+
+    json_schema_type = "anyOf"
+
+    def from_properties_impl(
+        self, name, properties, **kwargs: Unpack[TypeParserOptions]
+    ):
+        if "anyOf" not in properties:
+            raise ValueError(f"Invalid JSON Schema: {properties}")
+
+        if not isinstance(properties["anyOf"], list):
+            raise ValueError(f"Invalid JSON Schema: {properties['anyOf']}")
+
+        mapped_properties = self.mappings_properties_builder(properties, **kwargs)
+
+        sub_properties = properties["anyOf"]
+
+        sub_types = [
+            GenericTypeParser.type_from_properties(name, subProperty, **kwargs)
+            for subProperty in sub_properties
+        ]
+
+        if not kwargs.get("required", False):
+            mapped_properties["default"] = mapped_properties.get("default")
+
+        # By defining the type as Union of Annotated type we can use the Field validator
+        # to enforce the constraints of each union type when needed.
+        # We use Annotated to attach the Field validators to the type.
+        field_types = [
+            Annotated[t, Field(**v)] if v is not None else t for t, v in sub_types
+        ]
+
+        return Union[(*field_types,)], mapped_properties

jambo/parser/array_type_parser.py

@@ -1,12 +1,10 @@
+from jambo.parser._type_parser import GenericTypeParser
+from jambo.types.type_parser_options import TypeParserOptions
+
+from typing_extensions import Iterable, TypeVar, Unpack
+
 import copy
 
-from jambo.parser._type_parser import GenericTypeParser
-
-from typing import TypeVar
-
-from jambo.utils.properties_builder.mappings_properties_builder import (
-    mappings_properties_builder,
-)
 
 V = TypeVar("V")
 
@@ -14,54 +12,43 @@ V = TypeVar("V")
 class ArrayTypeParser(GenericTypeParser):
     mapped_type = list
 
-    json_schema_type = "array"
+    json_schema_type = "type:array"
 
-    @classmethod
+    default_mappings = {"description": "description"}
-    def from_properties(cls, name, properties):
-        _item_type, _item_args = GenericTypeParser.get_impl(
-            properties["items"]["type"]
-        ).from_properties(name, properties["items"])
 
-        _mappings = {
+    type_mappings = {
-            "maxItems": "max_length",
+        "maxItems": "max_length",
-            "minItems": "min_length",
+        "minItems": "min_length",
-        }
+    }
 
-        wrapper_type = set if properties.get("uniqueItems", False) else list
+    def from_properties_impl(
-
+        self, name, properties, **kwargs: Unpack[TypeParserOptions]
-        mapped_properties = mappings_properties_builder(
+    ):
-            properties, _mappings, {"description": "description"}
+        item_properties = kwargs.copy()
+        item_properties["required"] = True
+        _item_type, _item_args = GenericTypeParser.type_from_properties(
+            name, properties["items"], **item_properties
         )
 
-        if "default" in properties:
+        wrapper_type = set if properties.get("uniqueItems", False) else list
-            default_list = properties["default"]
+        field_type = wrapper_type[_item_type]
-            if not isinstance(default_list, list):
-                raise ValueError(
-                    f"Default value must be a list, got {type(default_list).__name__}"
-                )
 
-            if len(default_list) > properties.get("maxItems", float("inf")):
+        mapped_properties = self.mappings_properties_builder(properties, **kwargs)
-                raise ValueError(
-                    f"Default list exceeds maxItems limit of {properties.get('maxItems')}"
-                )
 
-            if len(default_list) < properties.get("minItems", 0):
+        if "default" not in mapped_properties:
-                raise ValueError(
+            mapped_properties["default_factory"] = self._build_default_factory(
-                    f"Default list is below minItems limit of {properties.get('minItems')}"
+                properties.get("default"), wrapper_type
-                )
+            )
 
-            if not all(isinstance(item, _item_type) for item in default_list):
+        return field_type, mapped_properties
-                raise ValueError(
-                    f"All items in the default list must be of type {_item_type.__name__}"
-                )
 
-            if wrapper_type is list:
+    def _build_default_factory(self, default_list, wrapper_type):
-                mapped_properties["default_factory"] = lambda: copy.deepcopy(
+        if default_list is None:
-                    wrapper_type(default_list)
+            return lambda: None
-                )
-            else:
-                mapped_properties["default_factory"] = lambda: wrapper_type(
-                    default_list
-                )
 
-        return wrapper_type[_item_type], mapped_properties
+        if not isinstance(default_list, Iterable):
+            raise ValueError(
+                f"Default value for array must be an iterable, got {type(default_list)}"
+            )
+
+        return lambda: copy.deepcopy(wrapper_type(default_list))

jambo/parser/boolean_type_parser.py

@@ -1,17 +1,25 @@
 from jambo.parser._type_parser import GenericTypeParser
-from jambo.utils.properties_builder.mappings_properties_builder import (
+from jambo.types.type_parser_options import TypeParserOptions
-    mappings_properties_builder,
+
-)
+from typing_extensions import Unpack
 
 
 class BooleanTypeParser(GenericTypeParser):
     mapped_type = bool
 
-    json_schema_type = "boolean"
+    json_schema_type = "type:boolean"
 
-    @staticmethod
+    type_mappings = {
-    def from_properties(name, properties):
+        "default": "default",
-        _mappings = {
+    }
-            "default": "default",
+
-        }
+    def from_properties_impl(
-        return bool, mappings_properties_builder(properties, _mappings)
+        self, name, properties, **kwargs: Unpack[TypeParserOptions]
+    ):
+        mapped_properties = self.mappings_properties_builder(properties, **kwargs)
+
+        default_value = properties.get("default")
+        if default_value is not None and not isinstance(default_value, bool):
+            raise ValueError(f"Default value for {name} must be a boolean.")
+
+        return bool, mapped_properties

jambo/parser/const_type_parser.py

@@ -0,0 +1,43 @@
+from jambo.parser._type_parser import GenericTypeParser
+from jambo.types.json_schema_type import JSONSchemaNativeTypes
+from jambo.types.type_parser_options import TypeParserOptions
+
+from pydantic import AfterValidator
+from typing_extensions import Annotated, Any, Unpack
+
+
+class ConstTypeParser(GenericTypeParser):
+    json_schema_type = "const"
+
+    default_mappings = {
+        "const": "default",
+        "description": "description",
+    }
+
+    def from_properties_impl(
+        self, name, properties, **kwargs: Unpack[TypeParserOptions]
+    ):
+        if "const" not in properties:
+            raise ValueError(f"Const type {name} must have 'const' property defined.")
+
+        const_value = properties["const"]
+
+        if not isinstance(const_value, JSONSchemaNativeTypes):
+            raise ValueError(
+                f"Const type {name} must have 'const' value of allowed types: {JSONSchemaNativeTypes}."
+            )
+
+        const_type = self._build_const_type(const_value)
+        parsed_properties = self.mappings_properties_builder(properties, **kwargs)
+
+        return const_type, parsed_properties
+
+    def _build_const_type(self, const_value):
+        def _validate_const_value(value: Any) -> Any:
+            if value != const_value:
+                raise ValueError(
+                    f"Value must be equal to the constant value: {const_value}"
+                )
+            return value
+
+        return Annotated[type(const_value), AfterValidator(_validate_const_value)]

jambo/parser/enum_type_parser.py

@@ -0,0 +1,40 @@
+from jambo.parser._type_parser import GenericTypeParser
+from jambo.types.json_schema_type import JSONSchemaNativeTypes
+from jambo.types.type_parser_options import TypeParserOptions
+
+from typing_extensions import Unpack
+
+from enum import Enum
+
+
+class EnumTypeParser(GenericTypeParser):
+    json_schema_type = "enum"
+
+    def from_properties_impl(
+        self, name, properties, **kwargs: Unpack[TypeParserOptions]
+    ):
+        if "enum" not in properties:
+            raise ValueError(f"Enum type {name} must have 'enum' property defined.")
+
+        enum_values = properties["enum"]
+
+        if not isinstance(enum_values, list):
+            raise ValueError(f"Enum type {name} must have 'enum' as a list of values.")
+
+        if any(
+            not isinstance(value, JSONSchemaNativeTypes) for value in enum_values
+        ):
+            raise ValueError(
+                f"Enum type {name} must have 'enum' values of allowed types: {JSONSchemaNativeTypes}."
+            )
+
+        # Create a new Enum type dynamically
+        enum_type = Enum(name, {str(value).upper(): value for value in enum_values})
+        parsed_properties = self.mappings_properties_builder(properties, **kwargs)
+
+        if (
+            "default" in parsed_properties and parsed_properties["default"] is not None
+        ):            
+            parsed_properties["default"] = enum_type(parsed_properties["default"])
+
+        return enum_type, parsed_properties

jambo/parser/float_type_parser.py

@@ -1,12 +1,24 @@
 from jambo.parser._type_parser import GenericTypeParser
-from jambo.utils.properties_builder.numeric_properties_builder import numeric_properties_builder
+from jambo.types.type_parser_options import TypeParserOptions
+
+from typing_extensions import Unpack
 
 
 class FloatTypeParser(GenericTypeParser):
     mapped_type = float
 
-    json_schema_type = "number"
+    json_schema_type = "type:number"
 
-    @staticmethod
+    type_mappings = {
-    def from_properties(name, properties):
+        "minimum": "ge",
-        return float, numeric_properties_builder(properties)
+        "exclusiveMinimum": "gt",
+        "maximum": "le",
+        "exclusiveMaximum": "lt",
+        "multipleOf": "multiple_of",
+        "default": "default",
+    }
+
+    def from_properties_impl(
+        self, name, properties, **kwargs: Unpack[TypeParserOptions]
+    ):
+        return float, self.mappings_properties_builder(properties, **kwargs)

jambo/parser/int_type_parser.py

@@ -1,12 +1,24 @@
 from jambo.parser._type_parser import GenericTypeParser
-from jambo.utils.properties_builder.numeric_properties_builder import numeric_properties_builder
+from jambo.types.type_parser_options import TypeParserOptions
+
+from typing_extensions import Unpack
 
 
 class IntTypeParser(GenericTypeParser):
     mapped_type = int
 
-    json_schema_type = "integer"
+    json_schema_type = "type:integer"
 
-    @staticmethod
+    type_mappings = {
-    def from_properties(name, properties):
+        "minimum": "ge",
-        return int, numeric_properties_builder(properties)
+        "exclusiveMinimum": "gt",
+        "maximum": "le",
+        "exclusiveMaximum": "lt",
+        "multipleOf": "multiple_of",
+        "default": "default",
+    }
+
+    def from_properties_impl(
+        self, name, properties, **kwargs: Unpack[TypeParserOptions]
+    ):
+        return int, self.mappings_properties_builder(properties, **kwargs)

jambo/parser/object_type_parser.py

@@ -1,19 +1,70 @@
 from jambo.parser._type_parser import GenericTypeParser
+from jambo.types.type_parser_options import TypeParserOptions
+
+from pydantic import BaseModel, ConfigDict, Field, create_model
+from typing_extensions import Any, Unpack
 
 
 class ObjectTypeParser(GenericTypeParser):
     mapped_type = object
 
-    json_schema_type = "object"
+    json_schema_type = "type:object"
 
-    @staticmethod
+    def from_properties_impl(
-    def from_properties(name, properties):
+        self, name: str, properties: dict[str, Any], **kwargs: Unpack[TypeParserOptions]
-        from jambo.schema_converter import SchemaConverter
+    ) -> tuple[type[BaseModel], dict]:
+        type_parsing = self.to_model(
+            name,
+            properties.get("properties", {}),
+            properties.get("required", []),
+            **kwargs,
+        )
+        type_properties = {}
 
         if "default" in properties:
-            raise RuntimeError("Default values for objects are not supported.")
+            type_properties["default_factory"] = lambda: type_parsing.model_validate(
+                properties["default"]
+            )
 
-        return (
+        return type_parsing, type_properties
-            SchemaConverter.build_object(name, properties),
+
-            {},  # The second argument is not used in this case
+    @classmethod
-        )
+    def to_model(
+        cls,
+        name: str,
+        schema: dict[str, Any],
+        required_keys: list[str],
+        **kwargs: Unpack[TypeParserOptions],
+    ) -> type[BaseModel]:
+        """
+        Converts JSON Schema object properties to a Pydantic model.
+        :param name: The name of the model.
+        :param schema: The properties of the JSON Schema object.
+        :param required_keys: List of required keys in the schema.
+        :return: A Pydantic model class.
+        """
+        model_config = ConfigDict(validate_assignment=True)
+        fields = cls._parse_properties(schema, required_keys, **kwargs)
+
+        return create_model(name, __config__=model_config, **fields)
+
+    @classmethod
+    def _parse_properties(
+        cls,
+        properties: dict[str, Any],
+        required_keys: list[str],
+        **kwargs: Unpack[TypeParserOptions],
+    ) -> dict[str, tuple[type, Field]]:
+        required_keys = required_keys or []
+
+        fields = {}
+        for name, prop in properties.items():
+            sub_property = kwargs.copy()
+            sub_property["required"] = name in required_keys
+
+            parsed_type, parsed_properties = GenericTypeParser.type_from_properties(
+                name, prop, **sub_property
+            )
+            fields[name] = (parsed_type, Field(**parsed_properties))
+
+        return fields

jambo/parser/ref_type_parser.py

@@ -0,0 +1,125 @@
+from jambo.parser import GenericTypeParser
+from jambo.types.type_parser_options import TypeParserOptions
+
+from typing_extensions import Any, ForwardRef, Literal, TypeVar, Union, Unpack
+
+
+RefType = TypeVar("RefType", bound=Union[type, ForwardRef])
+
+RefStrategy = Literal["forward_ref", "def_ref"]
+
+
+class RefTypeParser(GenericTypeParser):
+    json_schema_type = "$ref"
+
+    def from_properties_impl(
+        self, name: str, properties: dict[str, Any], **kwargs: Unpack[TypeParserOptions]
+    ) -> tuple[RefType, dict]:
+        if "$ref" not in properties:
+            raise ValueError(f"RefTypeParser: Missing $ref in properties for {name}")
+
+        context = kwargs.get("context")
+        if context is None:
+            raise RuntimeError(
+                f"RefTypeParser: Missing `content` in properties for {name}"
+            )
+
+        ref_cache = kwargs.get("ref_cache")
+        if ref_cache is None:
+            raise RuntimeError(
+                f"RefTypeParser: Missing `ref_cache` in properties for {name}"
+            )
+
+        mapped_properties = self.mappings_properties_builder(properties, **kwargs)
+
+        ref_strategy, ref_name, ref_property = self._examine_ref_strategy(
+            name, properties, **kwargs
+        )
+
+        ref_state = self._get_ref_from_cache(ref_name, ref_cache)
+        if ref_state is not None:
+            # If the reference is either processing or already cached
+            return ref_state, mapped_properties
+
+        ref_cache[ref_name] = self._parse_from_strategy(
+            ref_strategy, ref_name, ref_property, **kwargs
+        )
+
+        return ref_cache[ref_name], mapped_properties
+
+    def _parse_from_strategy(
+        self,
+        ref_strategy: RefStrategy,
+        ref_name: str,
+        ref_property: dict[str, Any],
+        **kwargs: Unpack[TypeParserOptions],
+    ):
+        match ref_strategy:
+            case "forward_ref":
+                mapped_type = ForwardRef(ref_name)
+            case "def_ref":
+                mapped_type, _ = GenericTypeParser.type_from_properties(
+                    ref_name, ref_property, **kwargs
+                )
+            case _:
+                raise ValueError(
+                    f"RefTypeParser: Unsupported $ref {ref_property['$ref']}"
+                )
+
+        return mapped_type
+
+    def _get_ref_from_cache(
+        self, ref_name: str, ref_cache: dict[str, type]
+    ) -> RefType | type | None:
+        try:
+            ref_state = ref_cache[ref_name]
+
+            if ref_state is None:
+                # If the reference is being processed, we return a ForwardRef
+                return ForwardRef(ref_name)
+
+            # If the reference is already cached, we return it
+            return ref_state
+        except KeyError:
+            # If the reference is not in the cache, we will set it to None
+            ref_cache[ref_name] = None
+
+    def _examine_ref_strategy(
+        self, name: str, properties: dict[str, Any], **kwargs: Unpack[TypeParserOptions]
+    ) -> tuple[RefStrategy, str, dict] | None:
+        if properties["$ref"] == "#":
+            ref_name = kwargs["context"].get("title")
+            if ref_name is None:
+                raise ValueError(
+                    "RefTypeParser: Missing title in properties for $ref of Root Reference"
+                )
+            return "forward_ref", ref_name, {}
+
+        if properties["$ref"].startswith("#/$defs/"):
+            target_name, target_property = self._extract_target_ref(
+                name, properties, **kwargs
+            )
+            return "def_ref", target_name, target_property
+
+        raise ValueError(
+            "RefTypeParser: Only Root and $defs references are supported at the moment"
+        )
+
+    def _extract_target_ref(
+        self, name: str, properties: dict[str, Any], **kwargs: Unpack[TypeParserOptions]
+    ) -> tuple[str, dict]:
+        target_name = None
+        target_property = kwargs["context"]
+        for prop_name in properties["$ref"].split("/")[1:]:
+            if prop_name not in target_property:
+                raise ValueError(
+                    f"RefTypeParser: Missing {prop_name} in"
+                    " properties for $ref {properties['$ref']}"
+                )
+            target_name = prop_name
+            target_property = target_property[prop_name]
+
+        if target_name is None or target_property is None:
+            raise ValueError(f"RefTypeParser: Invalid $ref {properties['$ref']}")
+
+        return target_name, target_property

jambo/parser/string_type_parser.py

@@ -1,40 +1,55 @@
 from jambo.parser._type_parser import GenericTypeParser
-from jambo.utils.properties_builder.mappings_properties_builder import (
+from jambo.types.type_parser_options import TypeParserOptions
-    mappings_properties_builder,
+
-)
+from pydantic import EmailStr, HttpUrl, IPvAnyAddress
+from typing_extensions import Unpack
+
+from datetime import date, datetime, time
 
 
 class StringTypeParser(GenericTypeParser):
     mapped_type = str
 
-    json_schema_type = "string"
+    json_schema_type = "type:string"
 
-    @staticmethod
+    type_mappings = {
-    def from_properties(name, properties):
+        "maxLength": "max_length",
-        _mappings = {
+        "minLength": "min_length",
-            "maxLength": "max_length",
+        "pattern": "pattern",
-            "minLength": "min_length",
+        "format": "format",
-            "pattern": "pattern",
+    }
-        }
 
-        mapped_properties = mappings_properties_builder(properties, _mappings)
+    format_type_mapping = {
+        "email": EmailStr,
+        "uri": HttpUrl,
+        "ipv4": IPvAnyAddress,
+        "ipv6": IPvAnyAddress,
+        "hostname": str,
+        "date": date,
+        "time": time,
+        "date-time": datetime,
+    }
 
-        if "default" in properties:
+    format_pattern_mapping = {
-            default_value = properties["default"]
+        "hostname": r"^[a-zA-Z0-9]([a-zA-Z0-9\-]{0,61}[a-zA-Z0-9])?(\.[a-zA-Z0-9]([a-zA-Z0-9\-]{0,61}[a-zA-Z0-9])?)*$",
-            if not isinstance(default_value, str):
+    }
-                raise ValueError(
-                    f"Default value for {name} must be a string, "
-                    f"but got {type(properties['default'])}."
-                )
 
-            if len(default_value) > properties.get("maxLength", float("inf")):
+    def from_properties_impl(
-                raise ValueError(
+        self, name, properties, **kwargs: Unpack[TypeParserOptions]
-                    f"Default value for {name} exceeds maxLength limit of {properties.get('maxLength')}"
+    ):
-                )
+        mapped_properties = self.mappings_properties_builder(
+            properties, **kwargs
+        )
 
-            if len(default_value) < properties.get("minLength", 0):
+        format_type = properties.get("format")
-                raise ValueError(
+        if not format_type:
-                    f"Default value for {name} is below minLength limit of {properties.get('minLength')}"
+            return str, mapped_properties
-                )
 
-        return str, mapped_properties
+        if format_type not in self.format_type_mapping:
+            raise ValueError(f"Unsupported string format: {format_type}")
+
+        mapped_type = self.format_type_mapping[format_type]
+        if format_type in self.format_pattern_mapping:
+            mapped_properties["pattern"] = self.format_pattern_mapping[format_type]
+
+        return mapped_type, mapped_properties

jambo/schema_converter.py

@@ -1,13 +1,9 @@
-from jambo.parser import GenericTypeParser
+from jambo.parser import ObjectTypeParser, RefTypeParser
+from jambo.types.json_schema_type import JSONSchema
 
 from jsonschema.exceptions import SchemaError
-from jsonschema.protocols import Validator
+from jsonschema.validators import validator_for
-from pydantic import create_model
+from pydantic import BaseModel
-from pydantic.fields import Field
-
-from typing import Type
-
-from jambo.types.json_schema_type import JSONSchema
 
 
 class SchemaConverter:
@@ -20,80 +16,53 @@ class SchemaConverter:
     """
 
     @staticmethod
-    def build(schema: JSONSchema) -> Type:
+    def build(schema: JSONSchema) -> type[BaseModel]:
         """
         Converts a JSON Schema to a Pydantic model.
         :param schema: The JSON Schema to convert.
         :return: A Pydantic model class.
         """
-        if "title" not in schema:
-            raise ValueError("JSON Schema must have a title.")
-
-        return SchemaConverter.build_object(schema["title"], schema)
-
-    @staticmethod
-    def build_object(
-        name: str,
-        schema: JSONSchema,
-    ) -> Type:
-        """
-        Converts a JSON Schema object to a Pydantic model given a name.
-        :param name:
-        :param schema:
-        :return:
-        """
 
         try:
-            Validator.check_schema(schema)
+            validator = validator_for(schema)
+            validator.check_schema(schema)
         except SchemaError as e:
             raise ValueError(f"Invalid JSON Schema: {e}")
 
-        if schema["type"] != "object":
+        if "title" not in schema:
-            raise TypeError(
+            raise ValueError("JSON Schema must have a title.")
-                f"Invalid JSON Schema: {schema['type']}. Only 'object' can be converted to Pydantic models."
-            )
 
-        return SchemaConverter._build_model_from_properties(
+        schema_type = SchemaConverter._get_schema_type(schema)
-            name, schema["properties"], schema.get("required", [])
+
-        )
+        match schema_type:
+            case "object":
+                return ObjectTypeParser.to_model(
+                    schema["title"],
+                    schema["properties"],
+                    schema.get("required", []),
+                    context=schema,
+                    ref_cache=dict(),
+                )
+
+            case "$ref":
+                parsed_model, _ = RefTypeParser().from_properties(
+                    schema["title"],
+                    schema,
+                    context=schema,
+                    ref_cache=dict(),
+                )
+                return parsed_model
+            case _:
+                raise TypeError(f"Unsupported schema type: {schema_type}")
 
     @staticmethod
-    def _build_model_from_properties(
+    def _get_schema_type(schema: JSONSchema) -> str:
-        model_name: str, model_properties: dict, required_keys: list[str]
+        """
-    ) -> Type:
+        Returns the type of the schema.
-        properties = SchemaConverter._parse_properties(model_properties, required_keys)
+        :param schema: The JSON Schema to check.
+        :return: The type of the schema.
+        """
+        if "$ref" in schema:
+            return "$ref"
 
-        return create_model(model_name, **properties)
+        return schema.get("type", "undefined")
-
-    @staticmethod
-    def _parse_properties(
-        properties: dict, required_keys=None
-    ) -> dict[str, tuple[type, Field]]:
-        required_keys = required_keys or []
-
-        fields = {}
-        for name, prop in properties.items():
-            fields[name] = SchemaConverter._build_field(name, prop, required_keys)
-
-        return fields
-
-    @staticmethod
-    def _build_field(
-        name, properties: dict, required_keys: list[str]
-    ) -> tuple[type, dict]:
-        _field_type, _field_args = GenericTypeParser.get_impl(
-            properties["type"]
-        ).from_properties(name, properties)
-
-        _field_args = _field_args or {}
-
-        if description := properties.get("description"):
-            _field_args["description"] = description
-
-        if name not in required_keys:
-            _field_args["default"] = properties.get("default", None)
-
-        if "default_factory" in _field_args and "default" in _field_args:
-            del _field_args["default"]
-
-        return _field_type, Field(**_field_args)

jambo/types/json_schema_type.py

@@ -1,4 +1,6 @@
-from typing import List, Dict, Union, TypedDict, Literal
+from typing_extensions import Dict, List, Literal, TypedDict, Union
+
+from types import NoneType
 
 
 JSONSchemaType = Literal[
@@ -6,6 +8,17 @@ JSONSchemaType = Literal[
 ]
 
 
+JSONSchemaNativeTypes: tuple[type, ...] = (
+    str, 
+    int,
+    float,
+    bool,
+    list,
+    set,
+    NoneType,
+)
+
+
 JSONType = Union[str, int, float, bool, None, Dict[str, "JSONType"], List["JSONType"]]
 
 

jambo/types/type_parser_options.py

@@ -0,0 +1,9 @@
+from jambo.types.json_schema_type import JSONSchema
+
+from typing_extensions import TypedDict
+
+
+class TypeParserOptions(TypedDict):
+    required: bool
+    context: JSONSchema
+    ref_cache: dict[str, type]

jambo/utils/properties_builder/mappings_properties_builder.py

@@ -1,11 +0,0 @@
-def mappings_properties_builder(properties, mappings, default_mappings=None):
-    default_mappings = default_mappings or {
-        "default": "default",
-        "description": "description",
-    }
-
-    mappings = default_mappings | mappings
-
-    return {
-        mappings[key]: value for key, value in properties.items() if key in mappings
-    }

jambo/utils/properties_builder/numeric_properties_builder.py

@@ -1,51 +0,0 @@
-from jambo.utils.properties_builder.mappings_properties_builder import (
-    mappings_properties_builder,
-)
-
-
-def numeric_properties_builder(properties):
-    _mappings = {
-        "minimum": "ge",
-        "exclusiveMinimum": "gt",
-        "maximum": "le",
-        "exclusiveMaximum": "lt",
-        "multipleOf": "multiple_of",
-        "default": "default",
-    }
-
-    mapped_properties = mappings_properties_builder(properties, _mappings)
-
-    if "default" in properties:
-        default_value = properties["default"]
-        if not isinstance(default_value, (int, float)):
-            raise ValueError(
-                f"Default value must be a number, got {type(default_value).__name__}"
-            )
-
-        if default_value >= properties.get("maximum", float("inf")):
-            raise ValueError(
-                f"Default value exceeds maximum limit of {properties.get('maximum')}"
-            )
-
-        if default_value <= properties.get("minimum", float("-inf")):
-            raise ValueError(
-                f"Default value is below minimum limit of {properties.get('minimum')}"
-            )
-
-        if default_value > properties.get("exclusiveMaximum", float("inf")):
-            raise ValueError(
-                f"Default value exceeds exclusive maximum limit of {properties.get('exclusiveMaximum')}"
-            )
-
-        if default_value < properties.get("exclusiveMinimum", float("-inf")):
-            raise ValueError(
-                f"Default value is below exclusive minimum limit of {properties.get('exclusiveMinimum')}"
-            )
-
-        if "multipleOf" in properties:
-            if default_value % properties["multipleOf"] != 0:
-                raise ValueError(
-                    f"Default value {default_value} is not a multiple of {properties['multipleOf']}"
-                )
-
-    return mapped_properties

pyproject.toml

@@ -23,6 +23,7 @@ readme = "README.md"
 
 # Project Dependencies
 dependencies = [
+    "email-validator>=2.2.0",
     "jsonschema>=4.23.0",
     "pydantic>=2.10.6",
 ]
@@ -33,6 +34,9 @@ dev = [
     "poethepoet>=0.33.1",
     "pre-commit>=4.2.0",
     "ruff>=0.11.4",
+    "sphinx>=8.1.3",
+    "sphinx-autobuild>=2024.10.3",
+    "sphinx-rtd-theme>=3.0.2",
 ]
 
 
@@ -44,7 +48,9 @@ repository = "https://github.com/HideyoshiNakazone/jambo.git"
 # POE Tasks
 [tool.poe.tasks]
 create-hooks        = "bash .githooks/set-hooks.sh"
-tests               = "python -m unittest discover -s tests -v"
+tests               = "python -m coverage run -m unittest discover -v"
+tests-report        = "python -m coverage xml"
+serve-docs         = "sphinx-autobuild docs/source docs/build"
 
 # Build System
 [tool.hatch.version]
@@ -55,8 +61,20 @@ requires = ["hatchling", "hatch-vcs"]
 build-backend = "hatchling.build"
 
 
+# Tests
+[tool.coverage.run]
+omit = [
+    "tests/*",
+]
+
+
+
 # Linters
+[tool.ruff.lint]
+extend-select = ["I"]
+
 [tool.ruff.lint.isort]
+known-first-party = ["jambo"]
 section-order=[
     "future",
     "first-party",
@@ -64,3 +82,4 @@ section-order=[
     "third-party",
     "standard-library",
 ]
+lines-after-imports = 2

tests/parser/test_allof_type_parser.py

@@ -0,0 +1,308 @@
+from jambo.parser.allof_type_parser import AllOfTypeParser
+
+from unittest import TestCase
+
+
+class TestAllOfTypeParser(TestCase):
+    def test_all_of_type_parser_object_type(self):
+        """
+        Test the AllOfTypeParser with an object type and validate the properties.
+        When using allOf with object it should be able to validate the properties
+        and join them correctly.
+        """
+        properties = {
+            "type": "object",
+            "allOf": [
+                {
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "minLength": 1,
+                        }
+                    },
+                },
+                {
+                    "type": "object",
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "maxLength": 4,
+                        },
+                        "age": {
+                            "type": "integer",
+                            "maximum": 100,
+                            "minimum": 0,
+                        },
+                    },
+                },
+            ],
+        }
+
+        type_parsing, type_validator = AllOfTypeParser().from_properties(
+            "placeholder", properties
+        )
+
+        with self.assertRaises(ValueError):
+            type_parsing(name="John", age=101)
+
+        with self.assertRaises(ValueError):
+            type_parsing(name="", age=30)
+
+        with self.assertRaises(ValueError):
+            type_parsing(name="John Invalid", age=30)
+
+        obj = type_parsing(name="John", age=30)
+        self.assertEqual(obj.name, "John")
+        self.assertEqual(obj.age, 30)
+
+    def test_all_of_type_parser_object_type_required(self):
+        """
+        Tests the required properties of the AllOfTypeParser with an object type.
+        """
+
+        properties = {
+            "type": "object",
+            "allOf": [
+                {
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                        }
+                    },
+                    "required": ["name"],
+                },
+                {
+                    "type": "object",
+                    "properties": {
+                        "age": {
+                            "type": "integer",
+                        }
+                    },
+                    "required": ["age"],
+                },
+            ],
+        }
+
+        type_parsing, type_validator = AllOfTypeParser().from_properties(
+            "placeholder", properties
+        )
+
+        with self.assertRaises(ValueError):
+            type_parsing(name="John")
+
+        with self.assertRaises(ValueError):
+            type_parsing(age=30)
+
+        obj = type_parsing(name="John", age=30)
+        self.assertEqual(obj.name, "John")
+        self.assertEqual(obj.age, 30)
+
+    def test_all_of_type_top_level_type(self):
+        """
+        Tests the AllOfTypeParser with a top-level type and validate the properties.
+        """
+
+        properties = {
+            "type": "string",
+            "allOf": [
+                {"maxLength": 11},
+                {"maxLength": 4},
+                {"minLength": 1},
+                {"minLength": 2},
+            ],
+        }
+
+        type_parsing, type_validator = AllOfTypeParser().from_properties(
+            "placeholder", properties
+        )
+
+        self.assertEqual(type_parsing, str)
+        self.assertEqual(type_validator["max_length"], 11)
+        self.assertEqual(type_validator["min_length"], 1)
+
+    def test_all_of_type_parser_in_fields(self):
+        """
+        Tests the AllOfTypeParser when set in the fields of a model.
+        """
+        properties = {
+            "allOf": [
+                {"type": "string", "maxLength": 11},
+                {"type": "string", "maxLength": 4},
+                {"type": "string", "minLength": 1},
+                {"type": "string", "minLength": 2},
+            ]
+        }
+
+        type_parsing, type_validator = AllOfTypeParser().from_properties(
+            "placeholder", properties
+        )
+
+        self.assertEqual(type_parsing, str)
+        self.assertEqual(type_validator["max_length"], 11)
+        self.assertEqual(type_validator["min_length"], 1)
+
+    def test_invalid_all_of(self):
+        """
+        Tests that an error is raised when the allOf type is not present.
+        """
+        properties = {
+            "wrongKey": [
+                {"type": "string", "maxLength": 11},
+                {"type": "string", "maxLength": 4},
+                {"type": "string", "minLength": 1},
+                {"type": "string", "minLength": 2},
+            ]
+        }
+
+        with self.assertRaises(ValueError):
+            AllOfTypeParser().from_properties("placeholder", properties)
+
+    def test_all_of_invalid_type_not_present(self):
+        properties = {
+            "allOf": [
+                {"maxLength": 11},
+                {"maxLength": 4},
+                {"minLength": 1},
+                {"minLength": 2},
+            ]
+        }
+
+        with self.assertRaises(ValueError):
+            AllOfTypeParser().from_properties("placeholder", properties)
+
+    def test_all_of_invalid_type_in_fields(self):
+        properties = {
+            "allOf": [
+                {"type": "string", "maxLength": 11},
+                {"type": "integer", "maxLength": 4},
+                {"type": "string", "minLength": 1},
+                {"minLength": 2},
+            ]
+        }
+
+        with self.assertRaises(ValueError):
+            AllOfTypeParser().from_properties("placeholder", properties)
+
+    def test_all_of_invalid_type_not_all_equal(self):
+        """
+        Tests that an error is raised when the allOf types are not all equal.
+        """
+
+        properties = {
+            "allOf": [
+                {"type": "string", "maxLength": 11},
+                {"type": "integer", "maxLength": 4},
+                {"type": "string", "minLength": 1},
+            ]
+        }
+
+        with self.assertRaises(ValueError):
+            AllOfTypeParser().from_properties("placeholder", properties)
+
+    def test_all_of_description_field(self):
+        """
+        Tests the AllOfTypeParser with a description field.
+        """
+
+        properties = {
+            "type": "object",
+            "allOf": [
+                {
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "description": "One",
+                        }
+                    },
+                },
+                {
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "description": "Of",
+                        }
+                    },
+                },
+                {
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "description": "Us",
+                        }
+                    },
+                },
+            ],
+        }
+
+        type_parsing, _ = AllOfTypeParser().from_properties("placeholder", properties)
+
+        self.assertEqual(
+            type_parsing.model_json_schema()["properties"]["name"]["description"],
+            "One | Of | Us",
+        )
+
+    def test_all_of_with_defaults(self):
+        """
+        Tests the AllOfTypeParser with a default value.
+        """
+
+        properties = {
+            "type": "object",
+            "allOf": [
+                {
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "default": "John",
+                        }
+                    },
+                },
+                {
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "default": "John",
+                        },
+                        "age": {
+                            "type": "integer",
+                            "default": 30,
+                        },
+                    },
+                },
+            ],
+        }
+
+        type_parsing, _ = AllOfTypeParser().from_properties("placeholder", properties)
+        obj = type_parsing()
+        self.assertEqual(obj.name, "John")
+        self.assertEqual(obj.age, 30)
+
+    def test_all_of_with_conflicting_defaults(self):
+        """
+        Tests the AllOfTypeParser with conflicting default values.
+        """
+
+        properties = {
+            "type": "object",
+            "allOf": [
+                {
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "default": "John",
+                        }
+                    },
+                },
+                {
+                    "properties": {
+                        "name": {
+                            "type": "string",
+                            "default": "Doe",
+                        }
+                    },
+                },
+            ],
+        }
+
+        with self.assertRaises(ValueError):
+            AllOfTypeParser().from_properties("placeholder", properties)

tests/parser/test_anyof_type_parser.py

@@ -0,0 +1,99 @@
+from jambo.parser.anyof_type_parser import AnyOfTypeParser
+
+from typing_extensions import Annotated, Union, get_args, get_origin
+
+from unittest import TestCase
+
+
+class TestAnyOfTypeParser(TestCase):
+    def test_any_with_missing_properties(self):
+        properties = {
+            "notAnyOf": [
+                {"type": "string"},
+                {"type": "integer"},
+            ],
+        }
+
+        with self.assertRaises(ValueError):
+            AnyOfTypeParser().from_properties("placeholder", properties)
+
+    def test_any_of_with_invalid_properties(self):
+        properties = {
+            "anyOf": None,
+        }
+
+        with self.assertRaises(ValueError):
+            AnyOfTypeParser().from_properties("placeholder", properties)
+
+    def test_any_of_string_or_int(self):
+        """
+        Tests the AnyOfTypeParser with a string or int type.
+        """
+
+        properties = {
+            "anyOf": [
+                {"type": "string"},
+                {"type": "integer"},
+            ],
+        }
+
+        type_parsing, _ = AnyOfTypeParser().from_properties(
+            "placeholder", properties, required=True
+        )
+
+        # check union type has string and int
+        self.assertEqual(get_origin(type_parsing), Union)
+
+        type_1, type_2 = get_args(type_parsing)
+
+        self.assertEqual(get_origin(type_1), Annotated)
+        self.assertIn(str, get_args(type_1))
+
+        self.assertEqual(get_origin(type_2), Annotated)
+        self.assertIn(int, get_args(type_2))
+
+    def test_any_of_string_or_int_with_default(self):
+        """
+        Tests the AnyOfTypeParser with a string or int type and a default value.
+        """
+
+        properties = {
+            "anyOf": [
+                {"type": "string"},
+                {"type": "integer"},
+            ],
+            "default": 42,
+        }
+
+        type_parsing, type_validator = AnyOfTypeParser().from_properties(
+            "placeholder", properties
+        )
+
+        # check union type has string and int
+        self.assertEqual(get_origin(type_parsing), Union)
+
+        type_1, type_2 = get_args(type_parsing)
+
+        self.assertEqual(get_origin(type_1), Annotated)
+        self.assertIn(str, get_args(type_1))
+
+        self.assertEqual(get_origin(type_2), Annotated)
+        self.assertIn(int, get_args(type_2))
+
+        self.assertEqual(type_validator["default"], 42)
+
+    def test_any_string_or_int_with_invalid_defaults(self):
+        """
+        Tests the AnyOfTypeParser with a string or int type and an invalid default value.
+        """
+
+        properties = {
+            "anyOf": [
+                {"type": "string"},
+                {"type": "integer"},
+            ],
+            "default": 3.14,
+        }
+
+        with self.assertRaises(ValueError):
+            AnyOfTypeParser().from_properties("placeholder", properties)

tests/parser/test_array_type_parser.py

@@ -0,0 +1,99 @@
+from jambo.parser import ArrayTypeParser
+
+from typing_extensions import get_args
+
+from unittest import TestCase
+
+
+class TestArrayTypeParser(TestCase):
+    def test_array_parser_no_options(self):
+        parser = ArrayTypeParser()
+
+        properties = {"items": {"type": "string"}}
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        element_type = get_args(type_parsing)[0]
+
+        self.assertEqual(type_parsing.__origin__, list)
+        self.assertEqual(element_type, str)
+
+    def test_array_parser_with_options_unique(self):
+        parser = ArrayTypeParser()
+
+        properties = {"items": {"type": "string"}, "uniqueItems": True}
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing.__origin__, set)
+
+    def test_array_parser_with_options_max_min(self):
+        parser = ArrayTypeParser()
+
+        properties = {"items": {"type": "string"}, "maxItems": 10, "minItems": 1}
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing.__origin__, list)
+        self.assertEqual(type_validator["max_length"], 10)
+        self.assertEqual(type_validator["min_length"], 1)
+
+    def test_array_parser_with_options_default_list(self):
+        parser = ArrayTypeParser()
+
+        properties = {"items": {"type": "string"}, "default": ["a", "b", "c"]}
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing.__origin__, list)
+        self.assertEqual(type_validator["default_factory"](), ["a", "b", "c"])
+
+    def test_array_parse_with_options_default_set(self):
+        parser = ArrayTypeParser()
+
+        properties = {
+            "items": {"type": "string"},
+            "uniqueItems": True,
+            "default": ["a", "b", "c"],
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing.__origin__, set)
+        self.assertEqual(type_validator["default_factory"](), {"a", "b", "c"})
+
+    def test_array_parser_with_invalid_default_elem_type(self):
+        parser = ArrayTypeParser()
+
+        properties = {"items": {"type": "string"}, "default": ["a", 1, "c"]}
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_array_parser_with_invalid_default_type(self):
+        parser = ArrayTypeParser()
+
+        properties = {"items": {"type": "string"}, "default": 000}
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_array_parser_with_invalid_default_min(self):
+        parser = ArrayTypeParser()
+
+        properties = {"items": {"type": "string"}, "default": ["a"], "minItems": 2}
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_array_parser_with_invalid_default_max(self):
+        parser = ArrayTypeParser()
+
+        properties = {
+            "items": {"type": "string"},
+            "default": ["a", "b", "c", "d"],
+            "maxItems": 3,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)

tests/parser/test_bool_type_parser.py

@@ -0,0 +1,43 @@
+from jambo.parser import BooleanTypeParser
+
+from unittest import TestCase
+
+
+class TestBoolTypeParser(TestCase):
+    def test_bool_parser_no_options(self):
+        parser = BooleanTypeParser()
+
+        properties = {"type": "boolean"}
+
+        type_parsing, type_validator = parser.from_properties_impl(
+            "placeholder", properties
+        )
+
+        self.assertEqual(type_parsing, bool)
+        self.assertEqual(type_validator, {"default": None})
+
+    def test_bool_parser_with_default(self):
+        parser = BooleanTypeParser()
+
+        properties = {
+            "type": "boolean",
+            "default": True,
+        }
+
+        type_parsing, type_validator = parser.from_properties_impl(
+            "placeholder", properties
+        )
+
+        self.assertEqual(type_parsing, bool)
+        self.assertEqual(type_validator["default"], True)
+
+    def test_bool_parser_with_invalid_default(self):
+        parser = BooleanTypeParser()
+
+        properties = {
+            "type": "boolean",
+            "default": "invalid",
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties_impl("placeholder", properties)

tests/parser/test_const_type_parser.py

@@ -0,0 +1,49 @@
+from jambo.parser import ConstTypeParser
+
+from typing_extensions import Annotated, get_args, get_origin
+
+from unittest import TestCase
+
+
+class TestConstTypeParser(TestCase):
+    def test_const_type_parser(self):
+        parser = ConstTypeParser()
+
+        expected_const_value = "United States of America"
+        properties = {"const": expected_const_value}
+
+        parsed_type, parsed_properties = parser.from_properties_impl(
+            "country", properties
+        )
+
+        self.assertEqual(get_origin(parsed_type), Annotated)
+        self.assertIn(str, get_args(parsed_type))
+
+        self.assertEqual(parsed_properties["default"], expected_const_value)
+
+    def test_const_type_parser_invalid_properties(self):
+        parser = ConstTypeParser()
+
+        expected_const_value = "United States of America"
+        properties = {"notConst": expected_const_value}
+
+        with self.assertRaises(ValueError) as context:
+            parser.from_properties_impl("invalid_country", properties)
+
+        self.assertIn(
+            "Const type invalid_country must have 'const' property defined",
+            str(context.exception),
+        )
+
+    def test_const_type_parser_invalid_const_value(self):
+        parser = ConstTypeParser()
+
+        properties = {"const": {}}
+
+        with self.assertRaises(ValueError) as context:
+            parser.from_properties_impl("invalid_country", properties)
+
+        self.assertIn(
+            "Const type invalid_country must have 'const' value of allowed types",
+            str(context.exception),
+        )

tests/parser/test_enum_type_parser.py

@@ -0,0 +1,90 @@
+from jambo.parser import EnumTypeParser
+
+from enum import Enum
+from unittest import TestCase
+
+
+class TestEnumTypeParser(TestCase):
+    def test_enum_type_parser_throws_enum_not_defined(self):
+        parser = EnumTypeParser()
+
+        schema = {}
+
+        with self.assertRaises(ValueError):
+            parsed_type, parsed_properties = parser.from_properties_impl(
+                "TestEnum",
+                schema,
+            )
+
+    def test_enum_type_parser_throws_enum_not_list(self):
+        parser = EnumTypeParser()
+
+        schema = {
+            "enum": "not_a_list",
+        }
+
+        with self.assertRaises(ValueError):
+            parsed_type, parsed_properties = parser.from_properties_impl(
+                "TestEnum",
+                schema,
+            )
+
+    def test_enum_type_parser_creates_enum(self):
+        parser = EnumTypeParser()
+
+        schema = {
+            "enum": ["value1", "value2", "value3"],
+        }
+
+        parsed_type, parsed_properties = parser.from_properties_impl(
+            "TestEnum",
+            schema,
+        )
+
+        self.assertIsInstance(parsed_type, type)
+        self.assertTrue(issubclass(parsed_type, Enum))
+        self.assertEqual(
+            set(parsed_type.__members__.keys()), {"VALUE1", "VALUE2", "VALUE3"}
+        )
+        self.assertEqual(parsed_properties, {"default": None})
+
+    def test_enum_type_parser_creates_enum_with_default(self):
+        parser = EnumTypeParser()
+
+        schema = {
+            "enum": ["value1", "value2", "value3"],
+            "default": "value2",
+        }
+
+        parsed_type, parsed_properties = parser.from_properties_impl(
+            "TestEnum",
+            schema,
+        )
+
+        self.assertIsInstance(parsed_type, type)
+        self.assertTrue(issubclass(parsed_type, Enum))
+        self.assertEqual(
+            set(parsed_type.__members__.keys()), {"VALUE1", "VALUE2", "VALUE3"}
+        )
+        self.assertEqual(parsed_properties["default"].value, "value2")
+
+    def test_enum_type_parser_throws_invalid_default(self):
+        parser = EnumTypeParser()
+
+        schema = {
+            "enum": ["value1", "value2", "value3"],
+            "default": "invalid_value",
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties_impl("TestEnum", schema)
+
+    def test_enum_type_parser_throws_invalid_enum_value(self):
+        parser = EnumTypeParser()
+        
+        schema = {
+            "enum": ["value1", 42, dict()],
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties_impl("TestEnum", schema)

tests/parser/test_float_type_parser.py

@@ -0,0 +1,135 @@
+from jambo.parser import FloatTypeParser
+
+from unittest import TestCase
+
+
+class TestFloatTypeParser(TestCase):
+    def test_float_parser_no_options(self):
+        parser = FloatTypeParser()
+
+        properties = {"type": "number"}
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, float)
+        self.assertEqual(type_validator, {"default": None})
+
+    def test_float_parser_with_options(self):
+        parser = FloatTypeParser()
+
+        properties = {
+            "type": "number",
+            "maximum": 10.5,
+            "minimum": 1.0,
+            "multipleOf": 0.5,
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, float)
+        self.assertEqual(type_validator["le"], 10.5)
+        self.assertEqual(type_validator["ge"], 1.0)
+        self.assertEqual(type_validator["multiple_of"], 0.5)
+
+    def test_float_parser_with_default(self):
+        parser = FloatTypeParser()
+
+        properties = {
+            "type": "number",
+            "default": 5.0,
+            "maximum": 10.5,
+            "minimum": 1.0,
+            "multipleOf": 0.5,
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, float)
+        self.assertEqual(type_validator["default"], 5.0)
+        self.assertEqual(type_validator["le"], 10.5)
+        self.assertEqual(type_validator["ge"], 1.0)
+        self.assertEqual(type_validator["multiple_of"], 0.5)
+
+    def test_float_parser_with_default_invalid_type(self):
+        parser = FloatTypeParser()
+
+        properties = {
+            "type": "number",
+            "default": "invalid",  # Invalid default value
+            "maximum": 10.5,
+            "minimum": 1.0,
+            "multipleOf": 0.5,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_float_parser_with_default_invalid_maximum(self):
+        parser = FloatTypeParser()
+
+        properties = {
+            "type": "number",
+            "default": 15.0,
+            "maximum": 10.5,
+            "minimum": 1.0,
+            "multipleOf": 0.5,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_float_parser_with_default_invalid_minimum(self):
+        parser = FloatTypeParser()
+
+        properties = {
+            "type": "number",
+            "default": -5.0,
+            "maximum": 10.5,
+            "minimum": 1.0,
+            "multipleOf": 0.5,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_float_parser_with_default_invalid_exclusive_maximum(self):
+        parser = FloatTypeParser()
+
+        properties = {
+            "type": "number",
+            "default": 10.5,
+            "exclusiveMaximum": 10.5,
+            "minimum": 1.0,
+            "multipleOf": 0.5,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_float_parser_with_default_invalid_exclusive_minimum(self):
+        parser = FloatTypeParser()
+
+        properties = {
+            "type": "number",
+            "default": 1.0,
+            "maximum": 10.5,
+            "exclusiveMinimum": 1.0,
+            "multipleOf": 0.5,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_float_parser_with_default_invalid_multiple(self):
+        parser = FloatTypeParser()
+
+        properties = {
+            "type": "number",
+            "default": 5.0,
+            "maximum": 10.5,
+            "minimum": 1.0,
+            "multipleOf": 2.0,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)

tests/parser/test_int_type_parser.py

@@ -0,0 +1,135 @@
+from jambo.parser import IntTypeParser
+
+from unittest import TestCase
+
+
+class TestIntTypeParser(TestCase):
+    def test_int_parser_no_options(self):
+        parser = IntTypeParser()
+
+        properties = {"type": "integer"}
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, int)
+        self.assertEqual(type_validator, {"default": None})
+
+    def test_int_parser_with_options(self):
+        parser = IntTypeParser()
+
+        properties = {
+            "type": "integer",
+            "maximum": 10,
+            "minimum": 1,
+            "multipleOf": 2,
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, int)
+        self.assertEqual(type_validator["le"], 10)
+        self.assertEqual(type_validator["ge"], 1)
+        self.assertEqual(type_validator["multiple_of"], 2)
+
+    def test_int_parser_with_default(self):
+        parser = IntTypeParser()
+
+        properties = {
+            "type": "integer",
+            "default": 6,
+            "maximum": 10,
+            "minimum": 1,
+            "multipleOf": 2,
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, int)
+        self.assertEqual(type_validator["default"], 6)
+        self.assertEqual(type_validator["le"], 10)
+        self.assertEqual(type_validator["ge"], 1)
+        self.assertEqual(type_validator["multiple_of"], 2)
+
+    def test_int_parser_with_default_invalid_type(self):
+        parser = IntTypeParser()
+
+        properties = {
+            "type": "integer",
+            "default": "invalid",  # Invalid default value
+            "maximum": 10,
+            "minimum": 1,
+            "multipleOf": 2,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_int_parser_with_default_invalid_maximum(self):
+        parser = IntTypeParser()
+
+        properties = {
+            "type": "integer",
+            "default": 15,
+            "maximum": 10,
+            "minimum": 1,
+            "multipleOf": 2,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_int_parser_with_default_invalid_minimum(self):
+        parser = IntTypeParser()
+
+        properties = {
+            "type": "integer",
+            "default": -5,
+            "maximum": 10,
+            "minimum": 1,
+            "multipleOf": 2,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_int_parser_with_default_invalid_exclusive_maximum(self):
+        parser = IntTypeParser()
+
+        properties = {
+            "type": "integer",
+            "default": 10,
+            "exclusiveMaximum": 10,
+            "minimum": 1,
+            "multipleOf": 2,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_int_parser_with_default_invalid_exclusive_minimum(self):
+        parser = IntTypeParser()
+
+        properties = {
+            "type": "integer",
+            "default": 1,
+            "exclusiveMinimum": 1,
+            "maximum": 10,
+            "multipleOf": 2,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_int_parser_with_default_invalid_multipleOf(self):
+        parser = IntTypeParser()
+
+        properties = {
+            "type": "integer",
+            "default": 5,
+            "maximum": 10,
+            "minimum": 1,
+            "multipleOf": 2,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)

tests/parser/test_object_type_parser.py

@@ -0,0 +1,49 @@
+from jambo.parser import ObjectTypeParser
+
+from unittest import TestCase
+
+
+class TestObjectTypeParser(TestCase):
+    def test_object_type_parser(self):
+        parser = ObjectTypeParser()
+
+        properties = {
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+            },
+        }
+
+        Model, _args = parser.from_properties_impl("placeholder", properties)
+
+        obj = Model(name="name", age=10)
+
+        self.assertEqual(obj.name, "name")
+        self.assertEqual(obj.age, 10)
+
+    def test_object_type_parser_with_default(self):
+        parser = ObjectTypeParser()
+
+        properties = {
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+            },
+            "default": {
+                "name": "default_name",
+                "age": 20,
+            },
+        }
+
+        _, type_validator = parser.from_properties_impl("placeholder", properties)
+
+        # Check default value
+        default_obj = type_validator["default_factory"]()
+        self.assertEqual(default_obj.name, "default_name")
+        self.assertEqual(default_obj.age, 20)
+
+        # Chekc default factory new object id
+        new_obj = type_validator["default_factory"]()
+        self.assertNotEqual(id(default_obj), id(new_obj))

tests/parser/test_ref_type_parser.py

@@ -0,0 +1,484 @@
+from jambo.parser import ObjectTypeParser, RefTypeParser
+
+from typing import ForwardRef
+from unittest import TestCase
+
+
+class TestRefTypeParser(TestCase):
+    def test_ref_type_parser_throws_without_ref(self):
+        properties = {
+            "title": "person",
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+            },
+            "required": ["name", "age"],
+        }
+
+        with self.assertRaises(ValueError):
+            RefTypeParser().from_properties(
+                "person",
+                properties,
+                context=properties,
+                ref_cache={},
+                required=True,
+            )
+
+    def test_ref_type_parser_throws_without_context(self):
+        properties = {
+            "title": "person",
+            "$ref": "#/$defs/person",
+            "$defs": {
+                "person": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "age": {"type": "integer"},
+                    },
+                }
+            },
+        }
+
+        with self.assertRaises(RuntimeError):
+            RefTypeParser().from_properties(
+                "person",
+                properties,
+                ref_cache={},
+                required=True,
+            )
+
+    def test_ref_type_parser_throws_without_ref_cache(self):
+        properties = {
+            "title": "person",
+            "$ref": "#/$defs/person",
+            "$defs": {
+                "person": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "age": {"type": "integer"},
+                    },
+                }
+            },
+        }
+
+        with self.assertRaises(RuntimeError):
+            RefTypeParser().from_properties(
+                "person",
+                properties,
+                context=properties,
+                required=True,
+            )
+
+    def test_ref_type_parser_throws_if_network_ref_type(self):
+        properties = {
+            "title": "person",
+            "$ref": "https://example.com/schemas/person.json",
+        }
+
+        with self.assertRaises(ValueError):
+            RefTypeParser().from_properties(
+                "person",
+                properties,
+                context=properties,
+                ref_cache={},
+                required=True,
+            )
+
+    def test_ref_type_parser_throws_if_non_root_or_def_ref(self):
+        # This is invalid because object3 is referencing object2,
+        # but object2 is not defined in $defs or as a root reference.
+        properties = {
+            "title": "object1",
+            "type": "object",
+            "properties": {
+                "object2": {
+                    "type": "object",
+                    "properties": {
+                        "attr1": {
+                            "type": "string",
+                        },
+                        "attr2": {
+                            "type": "integer",
+                        },
+                    },
+                },
+                "object3": {
+                    "$ref": "#/$defs/object2",
+                },
+            },
+        }
+
+        with self.assertRaises(ValueError):
+            ObjectTypeParser().from_properties(
+                "person",
+                properties,
+                context=properties,
+                ref_cache={},
+                required=True,
+            )
+
+    def test_ref_type_parser_throws_if_def_doesnt_exists(self):
+        properties = {
+            "title": "person",
+            "$ref": "#/$defs/employee",
+            "$defs": {},
+        }
+
+        with self.assertRaises(ValueError):
+            RefTypeParser().from_properties(
+                "person",
+                properties,
+                context=properties,
+                ref_cache={},
+                required=True,
+            )
+
+    def test_ref_type_parser_throws_if_ref_property_doesnt_exists(self):
+        properties = {
+            "title": "person",
+            "$ref": "#/$defs/person",
+            "$defs": {"person": None},
+        }
+
+        with self.assertRaises(ValueError):
+            RefTypeParser().from_properties(
+                "person",
+                properties,
+                context=properties,
+                ref_cache={},
+                required=True,
+            )
+
+    def test_ref_type_parser_with_def(self):
+        properties = {
+            "title": "person",
+            "$ref": "#/$defs/person",
+            "$defs": {
+                "person": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "age": {"type": "integer"},
+                    },
+                }
+            },
+        }
+
+        type_parsing, type_validator = RefTypeParser().from_properties(
+            "person",
+            properties,
+            context=properties,
+            ref_cache={},
+            required=True,
+        )
+
+        self.assertIsInstance(type_parsing, type)
+
+        obj = type_parsing(name="John", age=30)
+
+        self.assertEqual(obj.name, "John")
+        self.assertEqual(obj.age, 30)
+
+    def test_ref_type_parser_with_forward_ref(self):
+        properties = {
+            "title": "person",
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+                "emergency_contact": {
+                    "$ref": "#",
+                },
+            },
+            "required": ["name", "age"],
+        }
+
+        model, type_validator = ObjectTypeParser().from_properties(
+            "person",
+            properties,
+            context=properties,
+            ref_cache={},
+            required=True,
+        )
+
+        obj = model(
+            name="John",
+            age=30,
+            emergency_contact=model(
+                name="Jane",
+                age=28,
+            ),
+        )
+
+        self.assertEqual(obj.name, "John")
+        self.assertEqual(obj.age, 30)
+        self.assertIsInstance(obj.emergency_contact, model)
+        self.assertEqual(obj.emergency_contact.name, "Jane")
+        self.assertEqual(obj.emergency_contact.age, 28)
+
+    def test_ref_type_parser_invalid_forward_ref(self):
+        properties = {
+            # Doesn't have a title, which is required for forward references
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+                "emergency_contact": {
+                    "$ref": "#",
+                },
+            },
+            "required": ["name", "age"],
+        }
+
+        with self.assertRaises(ValueError):
+            ObjectTypeParser().from_properties(
+                "person",
+                properties,
+                context=properties,
+                ref_cache={},
+                required=True,
+            )
+
+    def test_ref_type_parser_forward_ref_can_checks_validation(self):
+        properties = {
+            "title": "person",
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+                "emergency_contact": {
+                    "$ref": "#",
+                },
+            },
+            "required": ["name", "age"],
+        }
+
+        model, type_validator = ObjectTypeParser().from_properties(
+            "person",
+            properties,
+            context=properties,
+            ref_cache={},
+            required=True,
+        )
+
+        # checks if when created via FowardRef the model is validated correctly.
+        with self.assertRaises(ValueError):
+            model(
+                name="John",
+                age=30,
+                emergency_contact=model(
+                    name="Jane",
+                ),
+            )
+
+    def test_ref_type_parser_with_ciclic_def(self):
+        properties = {
+            "title": "person",
+            "$ref": "#/$defs/person",
+            "$defs": {
+                "person": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "age": {"type": "integer"},
+                        "emergency_contact": {
+                            "$ref": "#/$defs/person",
+                        },
+                    },
+                }
+            },
+        }
+
+        model, type_validator = RefTypeParser().from_properties(
+            "person",
+            properties,
+            context=properties,
+            ref_cache={},
+            required=True,
+        )
+
+        obj = model(
+            name="John",
+            age=30,
+            emergency_contact=model(
+                name="Jane",
+                age=28,
+            ),
+        )
+
+        self.assertEqual(obj.name, "John")
+        self.assertEqual(obj.age, 30)
+        self.assertIsInstance(obj.emergency_contact, model)
+        self.assertEqual(obj.emergency_contact.name, "Jane")
+        self.assertEqual(obj.emergency_contact.age, 28)
+
+    def test_ref_type_parser_with_repeated_ref(self):
+        properties = {
+            "title": "person",
+            "$ref": "#/$defs/person",
+            "$defs": {
+                "person": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "age": {"type": "integer"},
+                        "emergency_contact": {
+                            "$ref": "#/$defs/person",
+                        },
+                        "friends": {
+                            "type": "array",
+                            "items": {
+                                "$ref": "#/$defs/person",
+                            },
+                        },
+                    },
+                }
+            },
+        }
+
+        model, type_validator = RefTypeParser().from_properties(
+            "person",
+            properties,
+            context=properties,
+            ref_cache={},
+            required=True,
+        )
+
+        obj = model(
+            name="John",
+            age=30,
+            emergency_contact=model(
+                name="Jane",
+                age=28,
+            ),
+            friends=[
+                model(name="Alice", age=25),
+                model(name="Bob", age=26),
+            ],
+        )
+
+        self.assertEqual(
+            type(obj.emergency_contact),
+            type(obj.friends[0]),
+            "Emergency contact and friends should be of the same type",
+        )
+
+    def test_ref_type_parser_pre_computed_ref_cache(self):
+        ref_cache = {}
+
+        parent_properties = {
+            "$defs": {
+                "person": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "age": {"type": "integer"},
+                    },
+                }
+            },
+        }
+
+        properties1 = {
+            "title": "person1",
+            "$ref": "#/$defs/person",
+        }
+        model1, _ = RefTypeParser().from_properties(
+            "person",
+            properties1,
+            context=parent_properties,
+            ref_cache=ref_cache,
+            required=True,
+        )
+
+        properties2 = {
+            "title": "person2",
+            "$ref": "#/$defs/person",
+        }
+        model2, _ = RefTypeParser().from_properties(
+            "person",
+            properties2,
+            context=parent_properties,
+            ref_cache=ref_cache,
+            required=True,
+        )
+
+        self.assertIs(model1, model2, "Models should be the same instance")
+
+    def test_parse_from_strategy_invalid_ref_strategy(self):
+        properties = {
+            "title": "person",
+            "$ref": "#/$defs/person",
+            "$defs": {
+                "person": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "age": {"type": "integer"},
+                    },
+                }
+            },
+        }
+
+        with self.assertRaises(ValueError):
+            ref_strategy, ref_name, ref_property = RefTypeParser()._parse_from_strategy(
+                "invalid_strategy",
+                "person",
+                properties,
+            )
+
+    def test_parse_from_strategy_forward_ref(self):
+        properties = {
+            "title": "person",
+            "$ref": "#/$defs/person",
+            "$defs": {
+                "person": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "age": {"type": "integer"},
+                    },
+                }
+            },
+        }
+
+        parsed_type = RefTypeParser()._parse_from_strategy(
+            "forward_ref",
+            "person",
+            properties,
+        )
+
+        self.assertIsInstance(parsed_type, ForwardRef)
+
+    def test_parse_from_strategy_def_ref(self):
+        properties = {
+            "title": "person",
+            "$ref": "#/$defs/person",
+            "$defs": {
+                "person": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "age": {"type": "integer"},
+                    },
+                }
+            },
+        }
+
+        parsed_type = RefTypeParser()._parse_from_strategy(
+            "def_ref",
+            "person",
+            properties,
+            context=properties,
+            ref_cache={},
+            required=True,
+        )
+
+        obj = parsed_type(
+            name="John",
+            age=30,
+        )
+
+        self.assertEqual(obj.name, "John")
+        self.assertEqual(obj.age, 30)

tests/parser/test_string_type_parser.py

@@ -0,0 +1,199 @@
+from jambo.parser import StringTypeParser
+
+from pydantic import EmailStr, HttpUrl, IPvAnyAddress
+
+from datetime import date, datetime, time
+from unittest import TestCase
+
+
+class TestStringTypeParser(TestCase):
+    def test_string_parser_no_options(self):
+        parser = StringTypeParser()
+
+        properties = {"type": "string"}
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, str)
+
+    def test_string_parser_with_options(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "maxLength": 10,
+            "minLength": 1,
+            "pattern": "^[a-zA-Z]+$",
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, str)
+        self.assertEqual(type_validator["max_length"], 10)
+        self.assertEqual(type_validator["min_length"], 1)
+        self.assertEqual(type_validator["pattern"], "^[a-zA-Z]+$")
+
+    def test_string_parser_with_default_value(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "default": "default_value",
+            "maxLength": 20,
+            "minLength": 5,
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, str)
+        self.assertEqual(type_validator["default"], "default_value")
+        self.assertEqual(type_validator["max_length"], 20)
+        self.assertEqual(type_validator["min_length"], 5)
+
+    def test_string_parser_with_invalid_default_value_type(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "default": 12345,  # Invalid default value
+            "maxLength": 20,
+            "minLength": 5,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_string_parser_with_default_invalid_maxlength(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "default": "default_value",
+            "maxLength": 2,
+            "minLength": 1,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_string_parser_with_default_invalid_minlength(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "default": "a",
+            "maxLength": 20,
+            "minLength": 2,
+        }
+
+        with self.assertRaises(ValueError):
+            parser.from_properties("placeholder", properties)
+
+    def test_string_parser_with_email_format(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "format": "email",
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, EmailStr)
+
+    def test_string_parser_with_uri_format(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "format": "uri",
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, HttpUrl)
+
+    def test_string_parser_with_ip_formats(self):
+        parser = StringTypeParser()
+
+        for ip_format in ["ipv4", "ipv6"]:
+            properties = {
+                "type": "string",
+                "format": ip_format,
+            }
+
+            type_parsing, type_validator = parser.from_properties(
+                "placeholder", properties
+            )
+
+            self.assertEqual(type_parsing, IPvAnyAddress)
+
+    def test_string_parser_with_time_format(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "format": "time",
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, time)
+
+    def test_string_parser_with_pattern_based_formats(self):
+        parser = StringTypeParser()
+
+        for format_type in ["hostname"]:
+            properties = {
+                "type": "string",
+                "format": format_type,
+            }
+
+            type_parsing, type_validator = parser.from_properties(
+                "placeholder", properties
+            )
+
+            self.assertEqual(type_parsing, str)
+            self.assertIn("pattern", type_validator)
+            self.assertEqual(
+                type_validator["pattern"], parser.format_pattern_mapping[format_type]
+            )
+
+    def test_string_parser_with_unsupported_format(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "format": "unsupported-format",
+        }
+
+        with self.assertRaises(ValueError) as context:
+            parser.from_properties("placeholder", properties)
+
+        self.assertEqual(
+            str(context.exception), "Unsupported string format: unsupported-format"
+        )
+
+    def test_string_parser_with_date_format(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "format": "date",
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, date)
+
+    def test_string_parser_with_datetime_format(self):
+        parser = StringTypeParser()
+
+        properties = {
+            "type": "string",
+            "format": "date-time",
+        }
+
+        type_parsing, type_validator = parser.from_properties("placeholder", properties)
+
+        self.assertEqual(type_parsing, datetime)

tests/parser/test_type_parser.py

@@ -0,0 +1,21 @@
+from jambo.parser import StringTypeParser
+from jambo.parser._type_parser import GenericTypeParser
+
+from unittest import TestCase
+
+
+class TestGenericTypeParser(TestCase):
+    def test_get_impl(self):
+        parser = GenericTypeParser._get_impl({"type": "string"})
+
+        self.assertIsInstance(parser(), StringTypeParser)
+
+    def test_get_impl_invalid_json_schema(self):
+        with self.assertRaises(RuntimeError):
+            StringTypeParser.json_schema_type = None
+            GenericTypeParser._get_impl({"type": "string"})
+        StringTypeParser.json_schema_type = "type:string"
+
+    def test_get_impl_invalid_type(self):
+        with self.assertRaises(ValueError):
+            GenericTypeParser._get_impl({"type": "invalid_type"})

tests/test_schema_converter.py

@@ -1,7 +1,8 @@
-from jambo.schema_converter import SchemaConverter
+from jambo import SchemaConverter
 
-from pydantic import BaseModel
+from pydantic import BaseModel, HttpUrl
 
+from ipaddress import IPv4Address, IPv6Address
 from unittest import TestCase
 
 
@@ -10,6 +11,60 @@ def is_pydantic_model(cls):
 
 
 class TestSchemaConverter(TestCase):
+    def test_invalid_schema(self):
+        schema = {
+            "title": 1,
+            "description": "A person",
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+            },
+        }
+
+        with self.assertRaises(ValueError):
+            SchemaConverter.build(schema)
+
+    def test_build_expects_title(self):
+        schema = {
+            "description": "A person",
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+            },
+        }
+
+        with self.assertRaises(ValueError):
+            SchemaConverter.build(schema)
+
+    def test_build_expects_object(self):
+        schema = {
+            "title": "Person",
+            "description": "A person",
+            "type": "string",
+        }
+
+        with self.assertRaises(TypeError):
+            SchemaConverter.build(schema)
+
+    def test_is_invalid_field(self):
+        schema = {
+            "title": "Person",
+            "description": "A person",
+            "type": "object",
+            "properties": {
+                "id": {
+                    "notType": "string",
+                }
+            },
+            # 'required': ['name', 'age', 'is_active', 'friends', 'address'],
+        }
+
+        with self.assertRaises(ValueError) as context:
+            SchemaConverter.build(schema)
+            self.assertTrue("Unknown type" in str(context.exception))
+
     def test_jsonschema_to_pydantic(self):
         schema = {
             "title": "Person",
@@ -200,6 +255,7 @@ class TestSchemaConverter(TestCase):
 
         self.assertEqual(obj.name, "John")
 
+    def test_invalid_default_for_string(self):
         # Test for default with maxLength
         schema_max_length = {
             "title": "Person",
@@ -256,3 +312,348 @@ class TestSchemaConverter(TestCase):
         model_set = SchemaConverter.build(schema_set)
 
         self.assertEqual(model_set().friends, {"John", "Jane"})
+
+    def test_default_for_object(self):
+        schema = {
+            "title": "Person",
+            "description": "A person",
+            "type": "object",
+            "properties": {
+                "address": {
+                    "type": "object",
+                    "properties": {
+                        "street": {"type": "string"},
+                        "city": {"type": "string"},
+                    },
+                    "default": {"street": "123 Main St", "city": "Springfield"},
+                },
+            },
+            "required": ["address"],
+        }
+
+        model = SchemaConverter.build(schema)
+
+        obj = model(address={"street": "123 Main St", "city": "Springfield"})
+
+        self.assertEqual(obj.address.street, "123 Main St")
+        self.assertEqual(obj.address.city, "Springfield")
+
+    def test_all_of(self):
+        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",
+        )
+
+        self.assertEqual(obj.name, "J")
+
+        with self.assertRaises(ValueError):
+            Model(name="John Invalid")
+
+        with self.assertRaises(ValueError):
+            Model(name="")
+
+    def test_any_of(self):
+        schema = {
+            "title": "Person",
+            "description": "A person",
+            "type": "object",
+            "properties": {
+                "id": {
+                    "anyOf": [
+                        {"type": "string", "maxLength": 11, "minLength": 1},
+                        {"type": "integer", "maximum": 10},
+                    ]
+                },
+            },
+        }
+
+        Model = SchemaConverter.build(schema)
+
+        obj = Model(id=1)
+        self.assertEqual(obj.id, 1)
+
+        obj = Model(id="12345678901")
+        self.assertEqual(obj.id, "12345678901")
+
+        with self.assertRaises(ValueError):
+            Model(id="")
+
+        with self.assertRaises(ValueError):
+            Model(id="12345678901234567890")
+
+        with self.assertRaises(ValueError):
+            Model(id=11)
+
+    def test_string_format_email(self):
+        schema = {
+            "title": "EmailTest",
+            "type": "object",
+            "properties": {"email": {"type": "string", "format": "email"}},
+        }
+        model = SchemaConverter.build(schema)
+        self.assertEqual(model(email="test@example.com").email, "test@example.com")
+        with self.assertRaises(ValueError):
+            model(email="invalid-email")
+
+    def test_string_format_uri(self):
+        schema = {
+            "title": "UriTest",
+            "type": "object",
+            "properties": {"website": {"type": "string", "format": "uri"}},
+        }
+        model = SchemaConverter.build(schema)
+        self.assertEqual(
+            model(website="https://example.com").website, HttpUrl("https://example.com")
+        )
+        with self.assertRaises(ValueError):
+            model(website="invalid-uri")
+
+    def test_string_format_ipv4(self):
+        schema = {
+            "title": "IPv4Test",
+            "type": "object",
+            "properties": {"ip": {"type": "string", "format": "ipv4"}},
+        }
+        model = SchemaConverter.build(schema)
+        self.assertEqual(model(ip="192.168.1.1").ip, IPv4Address("192.168.1.1"))
+        with self.assertRaises(ValueError):
+            model(ip="256.256.256.256")
+
+    def test_string_format_ipv6(self):
+        schema = {
+            "title": "IPv6Test",
+            "type": "object",
+            "properties": {"ip": {"type": "string", "format": "ipv6"}},
+        }
+        model = SchemaConverter.build(schema)
+        self.assertEqual(
+            model(ip="2001:0db8:85a3:0000:0000:8a2e:0370:7334").ip,
+            IPv6Address("2001:0db8:85a3:0000:0000:8a2e:0370:7334"),
+        )
+        with self.assertRaises(ValueError):
+            model(ip="invalid-ipv6")
+
+    def test_string_format_hostname(self):
+        schema = {
+            "title": "HostnameTest",
+            "type": "object",
+            "properties": {"hostname": {"type": "string", "format": "hostname"}},
+        }
+        model = SchemaConverter.build(schema)
+        self.assertEqual(model(hostname="example.com").hostname, "example.com")
+        with self.assertRaises(ValueError):
+            model(hostname="invalid..hostname")
+
+    def test_string_format_datetime(self):
+        schema = {
+            "title": "DateTimeTest",
+            "type": "object",
+            "properties": {"timestamp": {"type": "string", "format": "date-time"}},
+        }
+        model = SchemaConverter.build(schema)
+        self.assertEqual(
+            model(timestamp="2024-01-01T12:00:00Z").timestamp.isoformat(),
+            "2024-01-01T12:00:00+00:00",
+        )
+        with self.assertRaises(ValueError):
+            model(timestamp="invalid-datetime")
+
+    def test_string_format_time(self):
+        schema = {
+            "title": "TimeTest",
+            "type": "object",
+            "properties": {"time": {"type": "string", "format": "time"}},
+        }
+        model = SchemaConverter.build(schema)
+        self.assertEqual(
+            model(time="20:20:39+00:00").time.isoformat(), "20:20:39+00:00"
+        )
+        with self.assertRaises(ValueError):
+            model(time="25:00:00")
+
+    def test_string_format_unsupported(self):
+        schema = {
+            "title": "InvalidFormat",
+            "type": "object",
+            "properties": {"field": {"type": "string", "format": "unsupported"}},
+        }
+        with self.assertRaises(ValueError):
+            SchemaConverter.build(schema)
+
+    def test_ref_with_root_ref(self):
+        schema = {
+            "title": "Person",
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+                "emergency_contact": {
+                    "$ref": "#",
+                },
+            },
+            "required": ["name", "age"],
+        }
+
+        model = SchemaConverter.build(schema)
+
+        obj = model(
+            name="John",
+            age=30,
+            emergency_contact=model(
+                name="Jane",
+                age=28,
+            ),
+        )
+
+        self.assertEqual(obj.name, "John")
+        self.assertEqual(obj.age, 30)
+        self.assertIsInstance(obj.emergency_contact, model)
+        self.assertEqual(obj.emergency_contact.name, "Jane")
+        self.assertEqual(obj.emergency_contact.age, 28)
+
+    def test_ref_with_def(self):
+        schema = {
+            "title": "person",
+            "$ref": "#/$defs/person",
+            "$defs": {
+                "person": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "age": {"type": "integer"},
+                        "emergency_contact": {
+                            "$ref": "#/$defs/person",
+                        },
+                    },
+                }
+            },
+        }
+
+        model = SchemaConverter.build(schema)
+
+        obj = model(
+            name="John",
+            age=30,
+            emergency_contact=model(
+                name="Jane",
+                age=28,
+            ),
+        )
+
+        self.assertEqual(obj.name, "John")
+        self.assertEqual(obj.age, 30)
+        self.assertIsInstance(obj.emergency_contact, model)
+        self.assertEqual(obj.emergency_contact.name, "Jane")
+        self.assertEqual(obj.emergency_contact.age, 28)
+
+    def test_ref_with_def_another_model(self):
+        schema = {
+            "title": "Person",
+            "type": "object",
+            "properties": {
+                "name": {"type": "string"},
+                "age": {"type": "integer"},
+                "address": {"$ref": "#/$defs/Address"},
+            },
+            "required": ["name"],
+            "$defs": {
+                "Address": {
+                    "type": "object",
+                    "properties": {
+                        "street": {"type": "string"},
+                        "city": {"type": "string"},
+                    },
+                    "required": ["street", "city"],
+                }
+            },
+        }
+
+        Model = SchemaConverter.build(schema)
+
+        obj = Model(
+            name="John",
+            age=30,
+            address={"street": "123 Main St", "city": "Springfield"},
+        )
+
+        self.assertEqual(obj.name, "John")
+        self.assertEqual(obj.age, 30)
+        self.assertEqual(obj.address.street, "123 Main St")
+        self.assertEqual(obj.address.city, "Springfield")
+
+    def test_enum_type_parser(self):
+        schema = {
+            "title": "Person",
+            "type": "object",
+            "properties": {
+                "status": {
+                    "type": "string",
+                    "enum": ["active", "inactive", "pending"],
+                }
+            },
+            "required": ["status"],
+        }
+
+        Model = SchemaConverter.build(schema)
+
+        obj = Model(status="active")
+        self.assertEqual(obj.status.value, "active")
+
+    def test_enum_type_parser_with_default(self):
+        schema = {
+            "title": "Person",
+            "type": "object",
+            "properties": {
+                "status": {
+                    "type": "string",
+                    "enum": ["active", "inactive", "pending"],
+                    "default": "active",
+                }
+            },
+            "required": ["status"],
+        }
+
+        Model = SchemaConverter.build(schema)
+
+        obj = Model()
+        self.assertEqual(obj.status.value, "active")
+
+    def test_const_type_parser(self):
+        schema = {
+            "title": "Country",
+            "type": "object",
+            "properties": {
+                "name": {
+                    "const": "United States of America",
+                }
+            },
+            "required": ["name"],
+        }
+
+        Model = SchemaConverter.build(schema)
+
+        obj = Model()
+        self.assertEqual(obj.name, "United States of America")
+
+        with self.assertRaises(ValueError):
+            obj.name = "Canada"
+
+        with self.assertRaises(ValueError):
+            Model(name="Canada")

tests/test_type_parser.py

@@ -1,139 +0,0 @@
-from jambo.parser import (
-    ArrayTypeParser,
-    FloatTypeParser,
-    GenericTypeParser,
-    IntTypeParser,
-    ObjectTypeParser,
-    StringTypeParser,
-)
-
-import unittest
-from typing import get_args
-
-
-class TestTypeParser(unittest.TestCase):
-    def test_get_impl(self):
-        self.assertEqual(GenericTypeParser.get_impl("integer"), IntTypeParser)
-        self.assertEqual(GenericTypeParser.get_impl("string"), StringTypeParser)
-        self.assertEqual(GenericTypeParser.get_impl("number"), FloatTypeParser)
-        self.assertEqual(GenericTypeParser.get_impl("object"), ObjectTypeParser)
-        self.assertEqual(GenericTypeParser.get_impl("array"), ArrayTypeParser)
-
-    def test_int_parser(self):
-        parser = IntTypeParser()
-
-        type_parsing, type_validator = parser.from_properties(
-            "placeholder",
-            {
-                "type": "integer",
-                "minimum": 0,
-                "exclusiveMinimum": 1,
-                "maximum": 10,
-                "exclusiveMaximum": 11,
-                "multipleOf": 2,
-            },
-        )
-
-        self.assertEqual(type_parsing, int)
-        self.assertEqual(type_validator["ge"], 0)
-        self.assertEqual(type_validator["gt"], 1)
-        self.assertEqual(type_validator["le"], 10)
-        self.assertEqual(type_validator["lt"], 11)
-        self.assertEqual(type_validator["multiple_of"], 2)
-
-    def test_float_parser(self):
-        parser = FloatTypeParser()
-
-        type_parsing, type_validator = parser.from_properties(
-            "placeholder",
-            {
-                "type": "number",
-                "minimum": 0,
-                "exclusiveMinimum": 1,
-                "maximum": 10,
-                "exclusiveMaximum": 11,
-                "multipleOf": 2,
-            },
-        )
-
-        self.assertEqual(type_parsing, float)
-        self.assertEqual(type_validator["ge"], 0)
-        self.assertEqual(type_validator["gt"], 1)
-        self.assertEqual(type_validator["le"], 10)
-        self.assertEqual(type_validator["lt"], 11)
-        self.assertEqual(type_validator["multiple_of"], 2)
-
-    def test_string_parser(self):
-        parser = StringTypeParser()
-
-        type_parsing, type_validator = parser.from_properties(
-            "placeholder",
-            {
-                "type": "string",
-                "maxLength": 10,
-                "minLength": 1,
-                "pattern": "[a-zA-Z0-9]",
-            },
-        )
-
-        self.assertEqual(type_parsing, str)
-        self.assertEqual(type_validator["max_length"], 10)
-        self.assertEqual(type_validator["min_length"], 1)
-        self.assertEqual(type_validator["pattern"], "[a-zA-Z0-9]")
-
-    def test_object_parser(self):
-        parser = ObjectTypeParser()
-
-        properties = {
-            "type": "object",
-            "properties": {
-                "name": {"type": "string"},
-                "age": {"type": "integer"},
-            },
-        }
-
-        Model, _args = parser.from_properties("placeholder", properties)
-
-        obj = Model(name="name", age=10)
-
-        self.assertEqual(obj.name, "name")
-        self.assertEqual(obj.age, 10)
-
-    def test_array_of_string_parser(self):
-        parser = ArrayTypeParser()
-        expected_definition = (list[str], {})
-
-        properties = {"items": {"type": "string"}}
-
-        self.assertEqual(
-            parser.from_properties("placeholder", properties), expected_definition
-        )
-
-    def test_array_of_object_parser(self):
-        parser = ArrayTypeParser()
-
-        properties = {
-            "type": "array",
-            "items": {
-                "type": "object",
-                "properties": {
-                    "name": {"type": "string"},
-                    "age": {"type": "integer"},
-                },
-            },
-            "maxItems": 10,
-            "minItems": 1,
-            "uniqueItems": True,
-        }
-
-        type_parsing, type_validator = parser.from_properties("placeholder", properties)
-
-        self.assertEqual(type_parsing.__origin__, set)
-        self.assertEqual(type_validator["max_length"], 10)
-        self.assertEqual(type_validator["min_length"], 1)
-
-        Model = get_args(type_parsing)[0]
-        obj = Model(name="name", age=10)
-
-        self.assertEqual(obj.name, "name")
-        self.assertEqual(obj.age, 10)