<h1 align="center">
<strong>jsf</strong><img src="docs/assets/imgs/index.png" width="50" style="position: absolute; padding-left:10px;">
</h1>
<p align="center">
<a href="https://codecov.io/gh/ghandic/jsf" target="_blank">
<img src="https://img.shields.io/codecov/c/github/ghandic/jsf?color=%2334D058" alt="Coverage">
</a>
<a href="https://ghandic.github.io/jsf/index.html" target="_blank">
<img src="https://img.shields.io/badge/docs-mkdocs%20material-blue.svg?style=flat" alt="Docs">
</a>
<a href="https://pypi.org/project/jsf/" target="_blank">
<img src="https://img.shields.io/pypi/v/jsf.svg" alt="PyPI Latest Release">
</a>
<br />
<a href="https://github.com/ghandic/jsf/blob/main/LICENSE" target="_blank">
<img src="https://img.shields.io/github/license/ghandic/jsf.svg" alt="License">
</a>
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<img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="Code style: black">
</a>
</p>
Use **jsf** along with fake data generators to provide consistent and meaningful fake data for your system.
## Main Features
- Provides out of the box data generation from any JSON schema 📦
* Extendable custom data providers using any lambda functions 🔗
* Multi level state for dependant data (eg multiple objects sharing value, such as children with same surname) 🤓
* Inbuilt validation of fake JSON produced ✅
* In memory conversion from JSON Schema to Pydantic Models with generated examples 🤯
* Seamless integration with [FastAPI](https://fastapi.tiangolo.com/) 🚀
## Installation
<div class="termy">
```console
$ pip install jsf
---> 100%
```
</div>
## Usage
### Basic 😊
```python
from jsf import JSF
faker = JSF(
{
"type": "object",
"properties": {
"name": {"type": "string", "$provider": "faker.name"},
"email": {"type": "string", "$provider": "faker.email"},
},
"required": ["name", "email"],
}
)
fake_json = faker.generate()
```
Results in ...
```python
{
'name': 'Jesse Phillips',
'email': 'xroberson@hotmail.com'
}
```
### From JSON file 📁
```python
from jsf import JSF
faker = JSF.from_json("demo-schema.json")
fake_json = faker.generate()
```
<details markdown="1">
<summary>Or run stright from the <code>commandline</code>...</summary>
#### Native install
```bash
jsf --schema src/tests/data/custom.json --instance wow.json
```
#### Docker
```bash
docker run -v $PWD:/data challisa/jsf jsf --schema /data/custom.json --instance /data/example.json
```
</details>
### FastAPI Integration 🚀
Create a file main.py with:
```python
from jsf import JSF
from fastapi import FastAPI
app = FastAPI(docs_url="/")
generator = JSF.from_json("custom.json")
@app.get("/generate", response_model=generator.pydantic())
def read_root():
return generator.generate()
```
Run the server with:
<div class="termy">
```console
$ uvicorn main:app --reload
INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO: Started reloader process [28720]
INFO: Started server process [28722]
INFO: Waiting for application startup.
INFO: Application startup complete.
```
Navigate to [http://127.0.0.1:8000](http://127.0.0.1:8000) and check out your endpoint. Notice the following are all automatically created:
- Schema with descriptions and examples
- Example response
- Data generation by clicking "try it out"
</div>
## Credits
- This repository is a Python port of [json-schema-faker](https://github.com/json-schema-faker/json-schema-faker) with some minor differences in implementation.
## License
* [MIT License](/LICENSE)
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