FYI. Panel is adding dataclass conversion. Also Pydantic -> Parameterized

[MarcSkovMadsen]

See holoviz/panel#6912

[MarcSkovMadsen]

I've tried to achieve almost feature parity. What is missing is BaseModel attributes and pandas intervals. BaseModels will be added later. I did not understand the pandas intervals support.

If you see other missing things please let me know. Thx.

import pydantic
import panel as pn
from typing import List
from pydantic_panel.dispatchers import infer_widget
from datetime import datetime, date
import numpy as np
import pandas as pd

pn.extension("tabulator")

class ChildModel(pydantic.BaseModel):
    name: str = "child"

class SomeModel(pydantic.BaseModel):
    name: str = "some model"
    
    child_field: ChildModel = ChildModel()
    date_field: date = date(2024,1,2)
    dateframe: pd.DataFrame = pd.DataFrame({"x": [1], "y": ["a"]})
    datetime_field: datetime = datetime(2024,1,1)
    dict_field: dict = {"a": 1}
    float_field: float = 42
    int_field: int = pydantic.Field(default=2, lt=10, gt=0, multiple_of=2)
    list_field: list = [1, "two"]
    nparray_field: np.ndarray = np.array([1, 2, 3])
    str_field: str = pydantic.Field(default = "to", min_length=2, max_length=10)
    tuple_field: tuple = ("a", 1)

    class Config:
        arbitrary_types_allowed = True # to allow np.array

model = SomeModel()

pydantic_panel_editor = pn.panel(model, sizing_mode="fixed") # Pydantic(model).layout[0]
print(type(pydantic_panel_editor))
panel_editor = pn.Param(pn.dataclass.to_parameterized(model))

pn.Row(
    pydantic_panel_editor,
    panel_editor,
).servable()

[jmosbacher]

Thank you @MarcSkovMadsen, thats awesome!
I will mention this at the top of this repos readme so people arriving here know pydantic now supported natively in panel. What destination should i link to in the readme?

[MarcSkovMadsen]

I will put a link here once its released.