Source code for bokeh.core.property.instance

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# Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors.
# All rights reserved.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#-----------------------------------------------------------------------------
""" Provide the Instance property.

The Instance property is used to construct object graphs of Bokeh models,
where one Bokeh model refers to another.

"""

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# Boilerplate
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import logging # isort:skip
log = logging.getLogger(__name__)

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# Imports
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# Standard library imports
from importlib import import_module

# Bokeh imports
from .bases import DeserializationError, Property
from .singletons import Undefined

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# Globals and constants
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__all__ = (
    'Instance',
)

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# General API
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[docs]class Instance(Property): """ Accept values that are instances of |HasProps|. Args: readonly (bool, optional) : Whether attributes created from this property are read-only. (default: False) """ def __init__(self, instance_type, default=Undefined, help=None, readonly=False, serialized=None): if not isinstance(instance_type, (type, str)): raise ValueError(f"expected a type or string, got {instance_type}") from ..has_props import HasProps if isinstance(instance_type, type) and not issubclass(instance_type, HasProps): raise ValueError(f"expected a subclass of HasProps, got {instance_type}") self._instance_type = instance_type super().__init__(default=default, help=help, readonly=readonly, serialized=serialized) def __str__(self): class_name = self.__class__.__name__ instance_type = self.instance_type.__name__ return f"{class_name}({instance_type})" @property def has_ref(self): return True @property def instance_type(self): if isinstance(self._instance_type, str): module, name = self._instance_type.rsplit(".", 1) self._instance_type = getattr(import_module(module, "bokeh"), name) return self._instance_type def from_json(self, json, models=None): if isinstance(json, dict): from ...model import Model if issubclass(self.instance_type, Model): if models is None: raise DeserializationError(f"{self} can't deserialize without models") else: model = models.get(json["id"]) if model is not None: return model else: raise DeserializationError(f"{self} failed to deserialize reference to {json}") else: attrs = {} for name, value in json.items(): prop_descriptor = self.instance_type.lookup(name).property attrs[name] = prop_descriptor.from_json(value, models) # XXX: this doesn't work when Instance(Superclass) := Subclass() # Serialization dict must carry type information to resolve this. return self.instance_type(**attrs) else: raise DeserializationError(f"{self} expected a dict, got {json}") def validate(self, value, detail=True): super().validate(value, detail) if isinstance(value, self.instance_type): return instance_type = self.instance_type.__name__ value_type = type(value).__name__ msg = "" if not detail else f"expected an instance of type {instance_type}, got {value} of type {value_type}" raise ValueError(msg) def _may_have_unstable_default(self): # because the instance value is mutable return True def _sphinx_type(self): fullname = f"{self.instance_type.__module__}.{self.instance_type.__name__}" return f"{self._sphinx_prop_link()}({self._sphinx_model_link(fullname)})"
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