def list_param_to_ppt(p, kwargs):
if isinstance(p.item_type, type) and issubclass(p.item_type,
pm.Parameterized):
return bp.List(bp.Instance(DataModel)), [
(ParameterizedList,
lambda ps: [create_linked_datamodel(p) for p in ps])
]
return bp.List(bp.Any, **kwargs)
class DpxToolbar(Widget):
"Toolbar model"
__css__ = route("view.css", "icons.css", "toolbar.css")
__implementation__ = 'toolbar.ts'
__javascript__ = route()
frozen = props.Bool(True)
open = props.Int(0)
save = props.Int(0)
doc = props.Int(0)
quit = props.Int(0)
bead = props.Int(-1)
discarded = props.String('')
accepted = props.String('')
currentbead = props.Bool(True)
currentfile = props.Int(-1)
delfile = props.Int(-1)
filelist = props.List(props.String)
seltype = props.Bool(True)
message = props.String('')
helpmessage = props.String('')
hasquit = props.Bool(False)
hasdoc = props.Bool(False)
def __init__(self, **kwa):
super().__init__(name='Main:toolbar', **kwa)
class ReactiveHTML(HTMLBox):
attrs = bp.Dict(
bp.String, bp.List(bp.Tuple(bp.String, bp.List(bp.String), bp.String)))
callbacks = bp.Dict(bp.String, bp.List(bp.Tuple(bp.String, bp.String)))
children = bp.Dict(bp.String,
bp.List(bp.Either(bp.Instance(LayoutDOM), bp.String)))
data = bp.Instance(DataModel)
events = bp.Dict(bp.String, bp.Dict(bp.String, bp.Bool))
html = bp.String()
looped = bp.List(bp.String)
nodes = bp.List(bp.String)
scripts = bp.Dict(bp.String, bp.List(bp.String))
def __init__(self, **props):
if 'attrs' not in props and 'html' in props:
props['attrs'] = find_attrs(props['html'])
super().__init__(**props)
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),
pm.Number:
lambda p, kwargs: bp.Float(**kwargs),
pm.NumericTuple:
lambda p, kwargs: bp.Tuple(*(bp.Float for p in p.length), **kwargs),
pm.Range:
lambda p, kwargs: bp.Tuple(bp.Float, bp.Float, **kwargs),
pm.String:
lambda p, kwargs: bp.String(**kwargs),
pm.Tuple:
lambda p, kwargs: bp.Tuple(*(bp.Any for p in p.length), **kwargs),
}
def construct_data_model(parameterized, name=None, ignore=[], types={}):
"""