Automatically serialize dataclass / pydantic models into `param.Parameterized`?
- Dominant language
- Python
- Stars
- 521
- Forks
- 86
- Avg merge
- 1d 13h
- Merged PRs (30d)
- 35
Description
I was wondering whether we can (or if it's useful to) convert dataclass/pydantic models into `param.Parameterized` classes?
```python
from dataclasses import dataclass
import param
import panel as pn
@dataclass
class User():
name: str
avatar: str
@dataclass
class Message():
text: str
class UserRow(pn.widgets.CompositeWidget):
user = param.ClassSelector(class_=User, doc="The user to display.")
message = param.ClassSelector(class_=Message, doc="The message to display.")
_composite_type = pn.Row
def __init__(self, **params):
super().__init__(**params)
name = self.user.name
avatar = self.user.avatar
self._composite[:] = [
pn.pane.HTML(avatar),
pn.Column(
pn.pane.Markdown(f"**{name}**"),
pn.pane.Markdown(self.message.text),
)
]
UserRow(user=User(name="Andrew", avatar="A"), message=Message(text="Hello!"))
```
Contributor guide
Assessment
This issue has not been assessed yet.