pydantic-panel makes it easy to auto-generate UI elements from Pydantic models.
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Getting Started
| Documentation
| Support
_
pydantic-panel makes it easy to auto-generate UI elements from
Pydantic
models and any other Python object. The UI elements
can be used in your Jupyter Notebook and in your Panel
data app.
.. image:: images/pydantic-panel-simple.png :width: 700 :align: center
This project is at an early stage and potentially contains bugs. You might also see api changes, USE AT YOUR OWN RISK.
I will continue to add support for more types as I need them. Feel free to open issues with feature requests or better yet PRs with implementations.
Step 1 - Install
Requirements: Python 3.7+.
.. code-block::
pip install pydantic-panel
Step 2 - Import panel and add your models to layouts!
.. code-block:: python
import pydantic
import panel as pn
pn.extension()
class SomeModel(pydantic.BaseModel):
name: str
value: float
model = SomeModel(name="meaning", value=42)
widget = pn.panel(model)
layout = pn.Column(widget, widget.json)
layout.servable()
Now you can edit your model:
.. image:: images/simple_model_example.png :width: 400
If you install pydantic_panel
, it will register the widget automatically using the panel.BasePane.applies
interface.
After importing, calling panel.panel(model)
will return a panel.CompositeWidget
whos value is the model.
When you change one of the sub-widget values, the new value is validated/coerced using the corresponding pydantic field and if it passes validation/coercion the new value is set on the model itself. By default this is a one-way sync, if the model field values are changed via code, it does not sync the widgets.
If you want biderectional sync, you can pass bidirectional = True
to the widget constructor, this will patch the model
to sync changes to the widgets but this may break without warning if pydantic change the internals of
their __setattr__
method.
You can add or change the widgets used for a given type by hooking into the dispatch mechanism (we use plum-dispatch). This can be used to override the widget used for a supported type or to add support for a new type.
.. code-block:: python
from pydantic_panel import infer_widget
from pydantic.fields import FieldInfo
from typing import Optional
# precedence > 0 will ensure this function will be called
# instead of the default which has precedence = 0
@infer_widget.dispatch(precedence=1)
def infer_widget(value: MY_TYPE, field: Optional[FieldInfo] = None, **kwargs):
# extract relavent info from the pydantic field info here.
# return your favorite widget
return MY_FAVORITE_WIDGET(value=value, **kwargs)
Q: Why did you decide to use CompositWidget instead of Pane like Param uses?
A: Nested models. This is a recursive problem, so I was looking for a recursive solution. By using a Widget to
display models, all fields are treated equally. A field of type BaseModel is edited with a widget that has a .value
attribute just like any other field and therefore requires no special treatment. When the parent collects the values of its children
it just reads the widget.value
attribute and does not need to check whether the value is nested or not. At every level
of the recursion the widget only has to care about the fields on its model class and watch only the .value
attribute of
its children widgets for changes.
+---------------------+------------------------------------------------+ | Type | Channel | +=====================+================================================+ | 🐛 Bugs + |BugImage| | +---------------------+------------------------------------------------+ | 🎁 Features + |FeatureImage| | +---------------------+------------------------------------------------+ | ❓ Questions + |QuestionImage| | +---------------------+------------------------------------------------+
This package was created with Cookiecutter and the briggySmalls/cookiecutter-pypackage
project template.
.. Cookiecutter: https://github.com/audreyr/cookiecutter
.. briggySmalls/cookiecutter-pypackage
: https://github.com/briggySmalls/cookiecutter-pypackage
.. _Pydantic: https://github.com/samuelcolvin/pydantic/
.. _Panel: https://github.com/holoviz/panel
.. _Getting Started: #getting-started
.. _Documentation: https://pydantic-panel.readthedocs.io
.. _Support: #support--feedback
.. |BugImage| image:: https://img.shields.io/github/issues/jmosbacher/pydantic-panel/bug.svg?label=bug
:target: https://github.com/jmosbacher/pydantic-panel/issues?utf8=%E2%9C%93&q=is%3Aopen+is%3Aissue+label%3Abug+sort%3Areactions-%2B1-desc+
.. |FeatureImage| image:: https://img.shields.io/github/issues/jmosbacher/pydantic-panel/feature.svg?label=feature%20request
:target: https://github.com/jmosbacher/pydantic-panel/issues?q=is%3Aopen+is%3Aissue+label%3Afeature+sort%3Areactions-%2B1-desc
.. |QuestionImage| image:: https://img.shields.io/github/issues/jmosbacher/pydantic-panel/support.svg?label=support%20request
:target: https://github.com/jmosbacher/pydantic-panel/issues?q=is%3Aopen+is%3Aissue+label%3Asupport+sort%3Areactions-%2B1-desc