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MIT License
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Copyright (c) 2025 Vitor Hideyoshi
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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# Jambo - JSON Schema to Pydantic Converter
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**Jambo** is a Python package that automatically converts [JSON Schema](https://json-schema.org/) definitions into [Pydantic](https://docs.pydantic.dev/) models.
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It's designed to streamline schema validation and enforce type safety using Pydantic's powerful validation features.
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Created to simplifying the process of dynamically generating Pydantic models for AI frameworks like [LangChain](https://www.langchain.com/), [CrewAI](https://www.crewai.com/), and others.
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---
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## ✨ Features
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- ✅ Convert JSON Schema into Pydantic models dynamically
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- 🔒 Supports validation for strings, integers, floats, booleans, arrays, and nested objects
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- ⚙️ Enforces constraints like `minLength`, `maxLength`, `pattern`, `minimum`, `maximum`, `uniqueItems`, and more
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- 📦 Zero config — just pass your schema and get a model
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---
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## 📦 Installation
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```bash
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pip install jambo
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```
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---
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## 🚀 Usage
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```python
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from jambo.schema_converter import SchemaConverter
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schema = {
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"title": "Person",
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"type": "object",
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"properties": {
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"name": {"type": "string"},
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"age": {"type": "integer"},
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},
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"required": ["name"],
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}
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Person = SchemaConverter.build(schema)
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obj = Person(name="Alice", age=30)
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print(obj)
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```
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---
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## ✅ Example Validations
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### Strings with constraints
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```python
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schema = {
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"title": "EmailExample",
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"type": "object",
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"properties": {
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"email": {
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"type": "string",
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"minLength": 5,
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"maxLength": 50,
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"pattern": r"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$",
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},
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},
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"required": ["email"],
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}
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Model = SchemaConverter.build(schema)
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obj = Model(email="user@example.com")
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print(obj)
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```
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### Integers with bounds
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```python
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schema = {
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"title": "AgeExample",
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"type": "object",
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"properties": {
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"age": {"type": "integer", "minimum": 0, "maximum": 120}
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},
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"required": ["age"],
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}
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Model = SchemaConverter.build(schema)
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obj = Model(age=25)
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print(obj)
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```
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### Nested Objects
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```python
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schema = {
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"title": "NestedObjectExample",
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"type": "object",
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"properties": {
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"address": {
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"type": "object",
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"properties": {
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"street": {"type": "string"},
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"city": {"type": "string"},
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},
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"required": ["street", "city"],
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}
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},
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"required": ["address"],
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}
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Model = SchemaConverter.build(schema)
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obj = Model(address={"street": "Main St", "city": "Gotham"})
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print(obj)
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```
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---
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## 🧪 Running Tests
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To run the test suite:
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```bash
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poe tests
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```
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Or manually:
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```bash
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python -m unittest discover -s tests -v
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```
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---
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## 🛠 Development Setup
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To set up the project locally:
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1. Clone the repository
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2. Install [uv](https://github.com/astral-sh/uv) (if not already installed)
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3. Install dependencies:
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```bash
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uv sync
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```
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4. Set up git hooks:
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```bash
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poe create-hooks
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```
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---
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## 📌 Roadmap / TODO
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- [ ] Support for `enum` and `const`
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- [ ] Support for `anyOf`, `allOf`, `oneOf`
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- [ ] Schema ref (`$ref`) resolution
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- [ ] Better error reporting for unsupported schema types
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---
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## 🤝 Contributing
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PRs are welcome! This project uses MIT for licensing, so feel free to fork and modify as you see fit.
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---
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## 🧾 License
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MIT License.
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@@ -3,6 +3,7 @@ name = "jambo"
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dynamic = ["version"]
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dynamic = ["version"]
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description = "Add your description here"
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description = "Add your description here"
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requires-python = ">=3.10,<4.0"
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requires-python = ">=3.10,<4.0"
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readme = "README.md"
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# Project Dependencies
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# Project Dependencies
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dependencies = [
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dependencies = [
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