Source code for bokeh.document.util
''' Provide ancillary utility functions useful for manipulating Bokeh
documents.
'''
from __future__ import absolute_import
from ..model import get_class
[docs]def initialize_references_json(references_json, references, setter=None):
''' Given a JSON representation of the models in a graph, and new model
objects, set the properties on the models from the JSON
Args:
references_json (``JSON``)
JSON specifying attributes and values to initialize new model
objects with.
references (dict[str, Model])
A dictionary mapping model IDs to newly created (but not yet
initialized) Bokeh models.
**This is an "out" parameter**. The values it contains will be
modified in-place.
setter (ClientSession or ServerSession or None, optional) :
This is used to prevent "boomerang" updates to Bokeh apps.
(default: None)
In the context of a Bokeh server application, incoming updates
to properties will be annotated with the session that is
doing the updating. This value is propagated through any
subsequent change notifications that the update triggers.
The session can compare the event setter to itself, and
suppress any updates that originate from itself.
'''
for obj in references_json:
obj_id = obj['id']
obj_attrs = obj['attributes']
instance = references[obj_id]
instance.update_from_json(obj_attrs, models=references, setter=setter)
[docs]def instantiate_references_json(references_json):
''' Given a JSON representation of all the models in a graph, return a
dict of new model objects.
Args:
references_json (``JSON``)
JSON specifying new Bokeh models to create
Returns:
dict[str, Model]
'''
# Create all instances, but without setting their props
references = {}
for obj in references_json:
obj_id = obj['id']
obj_type = obj.get('subtype', obj['type'])
cls = get_class(obj_type)
instance = cls(id=obj_id, _block_events=True)
if instance is None:
raise RuntimeError('Error loading model from JSON (type: %s, id: %s)' % (obj_type, obj_id))
references[instance._id] = instance
return references
[docs]def references_json(references):
''' Given a list of all models in a graph, return JSON representing
them and their properties.
Args:
references (seq[Model]) :
A list of models to convert to JSON
Returns:
list
'''
references_json = []
for r in references:
ref = r.ref
ref['attributes'] = r._to_json_like(include_defaults=False)
references_json.append(ref)
return references_json