PARAM_MAPPING = {
pm.Array:
lambda p, kwargs: bp.Array(bp.Any, **kwargs),
pm.Boolean:
lambda p, kwargs: bp.Bool(**kwargs),
pm.CalendarDate:
lambda p, kwargs: bp.Date(**kwargs),
pm.CalendarDateRange:
lambda p, kwargs: bp.Tuple(bp.Date, bp.Date, **kwargs),
pm.ClassSelector:
lambda p, kwargs: ((bp.Instance(DataModel, **kwargs), [
(Parameterized, create_linked_datamodel)
]) if isinstance(p.class_, type) and issubclass(
p.class_, param.Parameterized) else bp.Any(**kwargs)),
pm.Color:
lambda p, kwargs: bp.Color(**kwargs),
pm.DataFrame:
lambda p, kwargs: (bp.ColumnData(bp.Any, bp.Seq(bp.Any), **kwargs), [(
bp.PandasDataFrame, lambda x: ColumnDataSource._data_from_df(x))]),
pm.DateRange:
lambda p, kwargs: bp.Tuple(bp.Datetime, bp.Datetime, **kwargs),
pm.Date:
lambda p, kwargs: bp.Datetime(**kwargs),
pm.Dict:
lambda p, kwargs: bp.Dict(bp.String, bp.Any, **kwargs),
pm.Event:
lambda p, kwargs: bp.Bool(**kwargs),
pm.Integer:
lambda p, kwargs: bp.Int(**kwargs),
pm.List:
lambda p, kwargs: bp.List(bp.Any, **kwargs),
def color_param_to_ppt(p, kwargs):
ppt = bp.Color(**kwargs)
ppt._help = None
return ppt