#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2018, Anaconda, Inc. All rights reserved.
#
# Powered by the Bokeh Development Team.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#-----------------------------------------------------------------------------
''' Provide a base class for all objects (called Bokeh Models) that can go in
a Bokeh |Document|.
'''
#-----------------------------------------------------------------------------
# Boilerplate
#-----------------------------------------------------------------------------
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
log = logging.getLogger(__name__)
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
# Standard library imports
from json import loads
from operator import itemgetter
# External imports
from six import iteritems, string_types
# Bokeh imports
from .core.json_encoder import serialize_json
from .core.properties import Any, Dict, Instance, List, String
from .core.has_props import HasProps, MetaHasProps
from .core.query import find
from .events import Event
from .themes import default as default_theme
from .util.callback_manager import PropertyCallbackManager, EventCallbackManager
from .util.future import with_metaclass
from .util.serialization import make_id
#-----------------------------------------------------------------------------
# Globals and constants
#-----------------------------------------------------------------------------
__all__ = (
'collect_models',
'get_class',
)
#-----------------------------------------------------------------------------
# General API
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Dev API
#-----------------------------------------------------------------------------
[docs]def collect_models(*input_values):
''' Collect a duplicate-free list of all other Bokeh models referred to by
this model, or by any of its references, etc.
Iterate over ``input_values`` and descend through their structure
collecting all nested ``Models`` on the go. The resulting list is
duplicate-free based on objects' identifiers.
Args:
*input_values (Model)
Bokeh models to collect other models from
Returns:
list[Model] : all models reachable from this one.
'''
ids = set([])
collected = []
queued = []
def queue_one(obj):
if obj._id not in ids:
queued.append(obj)
for value in input_values:
_visit_value_and_its_immediate_references(value, queue_one)
while queued:
obj = queued.pop(0)
if obj._id not in ids:
ids.add(obj._id)
collected.append(obj)
_visit_immediate_value_references(obj, queue_one)
return collected
[docs]def get_class(view_model_name):
''' Look up a Bokeh model class, given its view model name.
Args:
view_model_name (str) :
A view model name for a Bokeh model to look up
Returns:
Model: the model class corresponding to ``view_model_name``
Raises:
KeyError, if the model cannot be found
Example:
.. code-block:: python
>>> from bokeh.model import get_class
>>> get_class("Range1d")
<class 'bokeh.models.ranges.Range1d'>
'''
# in order to look up from the model catalog that MetaModel maintains, it
# has to be creates first. These imports ensure that all built-in Bokeh
# models are represented in the catalog.
from . import models; models
from .plotting import Figure; Figure
d = MetaModel.model_class_reverse_map
if view_model_name in d:
return d[view_model_name]
else:
raise KeyError("View model name '%s' not found" % view_model_name)
#-----------------------------------------------------------------------------
# Dev API
#-----------------------------------------------------------------------------
class MetaModel(MetaHasProps):
''' Specialize the construction of |Model| classes.
This class is a `metaclass`_ for |Model| that is responsible for
automatically cataloging all Bokeh models that get defined, so that the
serialization machinery between Bokeh and BokehJS can function properly.
.. note::
It is worth pointing out explicitly that this relies on the rules
for Metaclass inheritance in Python.
Bokeh works by replicating Python model objects (e.g. plots, ranges,
data sources, which are all |HasProps| subclasses) into BokehJS. In the
case of using a Bokeh server, the Bokeh model objects can also be
synchronized bidirectionally. This is accomplished by serializing the
models to and from a JSON format, that includes the name of the model type
as part of the payload, as well as a unique ID, and all the attributes:
.. code-block:: javascript
{
type: "Plot",
id: 100032,
attributes: { ... }
}
Typically the type name is inferred automatically from the Python class
name, and is set as the ``__view_model__`` class attribute on the Model
class that is create. But it is also possible to override this value
explicitly:
.. code-block:: python
class Foo(Model): pass
class Bar(Model):
__view_model__ == "Quux"
This metaclass will raise an error if two Bokeh models are created that
attempt to have the same view model name. The only exception made is if
one of the models has a custom ``__implementation__`` in its class
definition.
This metaclass also handles subtype relationships between Bokeh models.
Occasionally it may be necessary for multiple class types on the Python
side to resolve to the same type on the BokehJS side. This is called
subtyping, and is expressed through a ``__subtype__`` class attribute on
a model:
.. code-block:: python
class Foo(Model): pass
class Bar(Foo):
__view_model__ = "Foo"
__subtype__ = "Bar"
In this case, python instances of ``Foo`` and ``Bar`` will both resolve to
``Foo`` models in BokehJS. In the context of a Bokeh server application,
the original python types will be faithfully round-tripped. (Without the
``__subtype__`` specified, the above code would raise an error due to
duplicate view model names.)
.. _metaclass: https://docs.python.org/3/reference/datamodel.html#metaclasses
'''
model_class_reverse_map = {}
def __new__(meta_cls, class_name, bases, class_dict):
'''
Raises:
Warning
'''
# use an explicitly provided view model name if there is one
if "__view_model__" not in class_dict:
class_dict["__view_model__"] = class_name
# call the parent metaclass to create the new model type
newcls = super(MetaModel, meta_cls).__new__(meta_cls, class_name, bases, class_dict)
# update the mapping of view model names to classes, checking for any duplicates
# and handling any subtype relationships or custom implementations
entry = class_dict.get("__subtype__", class_dict["__view_model__"])
if entry in MetaModel.model_class_reverse_map and not hasattr(newcls, "__implementation__"):
raise Warning("Duplicate __view_model__ or __subtype__ declaration of '%s' for " \
"class %s. Previous definition: %s" % \
(entry, class_name,
MetaModel.model_class_reverse_map[entry]))
MetaModel.model_class_reverse_map[entry] = newcls
return newcls
_HTML_REPR = """
<script>
(function() {
var expanded = false;
var ellipsis = document.getElementById("%(ellipsis_id)s");
ellipsis.addEventListener("click", function() {
var rows = document.getElementsByClassName("%(cls_name)s");
for (var i = 0; i < rows.length; i++) {
var el = rows[i];
el.style.display = expanded ? "none" : "table-row";
}
ellipsis.innerHTML = expanded ? "…)" : "‹‹‹";
expanded = !expanded;
});
})();
</script>
"""
class Model(with_metaclass(MetaModel, HasProps, PropertyCallbackManager, EventCallbackManager)):
''' Base class for all objects stored in Bokeh |Document| instances.
'''
def __init__(self, **kwargs):
self._id = kwargs.pop("id", make_id())
self._document = None
self._temp_document = None
super(Model, self).__init__(**kwargs)
default_theme.apply_to_model(self)
def __str__(self):
return "%s(id=%r, ...)" % (self.__class__.__name__, getattr(self, "_id", None))
__repr__ = __str__
name = String(help="""
An arbitrary, user-supplied name for this model.
This name can be useful when querying the document to retrieve specific
Bokeh models.
.. code:: python
>>> plot.circle([1,2,3], [4,5,6], name="temp")
>>> plot.select(name="temp")
[GlyphRenderer(id='399d53f5-73e9-44d9-9527-544b761c7705', ...)]
.. note::
No uniqueness guarantees or other conditions are enforced on any names
that are provided, nor is the name used directly by Bokeh for any
reason.
""")
tags = List(Any, help="""
An optional list of arbitrary, user-supplied values to attach to this
model.
This data can be useful when querying the document to retrieve specific
Bokeh models:
.. code:: python
>>> r = plot.circle([1,2,3], [4,5,6])
>>> r.tags = ["foo", 10]
>>> plot.select(tags=['foo', 10])
[GlyphRenderer(id='1de4c3df-a83d-480a-899b-fb263d3d5dd9', ...)]
Or simply a convenient way to attach any necessary metadata to a model
that can be accessed by ``CustomJS`` callbacks, etc.
.. note::
No uniqueness guarantees or other conditions are enforced on any tags
that are provided, nor are the tags used directly by Bokeh for any
reason.
""")
js_event_callbacks = Dict(String, List(Instance("bokeh.models.callbacks.CustomJS")),
help="""
A mapping of event names to lists of ``CustomJS`` callbacks.
Typically, rather then modifying this property directly, callbacks should be
added using the ``Model.js_on_event`` method:
.. code:: python
callback = CustomJS(code="console.log('tap event occurred')")
plot.js_on_event('tap', callback)
""")
subscribed_events = List(String, help="""
List of events that are subscribed to by Python callbacks. This is
the set of events that will be communicated from BokehJS back to
Python for this model.
""")
js_property_callbacks = Dict(String, List(Instance("bokeh.models.callbacks.CustomJS")), help="""
A mapping of attribute names to lists of ``CustomJS`` callbacks, to be set up on
BokehJS side when the document is created.
Typically, rather then modifying this property directly, callbacks should be
added using the ``Model.js_on_change`` method:
.. code:: python
callback = CustomJS(code="console.log('stuff')")
plot.x_range.js_on_change('start', callback)
""")
# Properties --------------------------------------------------------------
@property
def document(self):
''' The |Document| this model is attached to (can be ``None``)
'''
if self._temp_document is not None:
return self._temp_document
return self._document
@property
def ref(self):
''' A Bokeh protocol "reference" to this model, i.e. a dict of the
form:
.. code-block:: python
{
'type' : << view model name >>
'id' : << unique model id >>
}
Additionally there may be a `subtype` field if this model is a subtype.
'''
if "__subtype__" in self.__class__.__dict__:
return {
'type' : self.__view_model__,
'subtype' : self.__subtype__,
'id' : self._id,
}
else:
return {
'type' : self.__view_model__,
'id' : self._id,
}
# Public methods ----------------------------------------------------------
def js_on_event(self, event, *callbacks):
if not isinstance(event, string_types) and issubclass(event, Event):
event = event.event_name
if event not in self.js_event_callbacks:
self.js_event_callbacks[event] = []
for callback in callbacks:
if callback in self.js_event_callbacks[event]:
continue
self.js_event_callbacks[event].append(callback)
def js_on_change(self, event, *callbacks):
''' Attach a ``CustomJS`` callback to an arbitrary BokehJS model event.
On the BokehJS side, change events for model properties have the
form ``"change:property_name"``. As a convenience, if the event name
passed to this method is also the name of a property on the model,
then it will be prefixed with ``"change:"`` automatically:
.. code:: python
# these two are equivalent
source.js_on_change('data', callback)
source.js_on_change('change:data', callback)
However, there are other kinds of events that can be useful to respond
to, in addition to property change events. For example to run a
callback whenever data is streamed to a ``ColumnDataSource``, use the
``"stream"`` event on the source:
.. code:: python
source.js_on_change('streaming', callback)
'''
if len(callbacks) == 0:
raise ValueError("js_on_change takes an event name and one or more callbacks, got only one parameter")
# handle any CustomJS callbacks here
from bokeh.models.callbacks import CustomJS
if not all(isinstance(x, CustomJS) for x in callbacks):
raise ValueError("not all callback values are CustomJS instances")
if event in self.properties():
event = "change:%s" % event
if event not in self.js_property_callbacks:
self.js_property_callbacks[event] = []
for callback in callbacks:
if callback in self.js_property_callbacks[event]:
continue
self.js_property_callbacks[event].append(callback)
def layout(self, side, plot):
'''
'''
try:
return self in getattr(plot, side)
except:
return []
def on_change(self, attr, *callbacks):
''' Add a callback on this object to trigger when ``attr`` changes.
Args:
attr (str) : an attribute name on this object
*callbacks (callable) : callback functions to register
Returns:
None
Example:
.. code-block:: python
widget.on_change('value', callback1, callback2, ..., callback_n)
'''
if attr not in self.properties():
raise ValueError("attempted to add a callback on nonexistent %s.%s property" % (self.__class__.__name__, attr))
super(Model, self).on_change(attr, *callbacks)
def references(self):
''' Returns all ``Models`` that this object has references to.
'''
return set(collect_models(self))
def select(self, selector):
''' Query this object and all of its references for objects that
match the given selector.
Args:
selector (JSON-like) :
Returns:
seq[Model]
'''
return find(self.references(), selector)
def select_one(self, selector):
''' Query this object and all of its references for objects that
match the given selector. Raises an error if more than one object
is found. Returns single matching object, or None if nothing is found
Args:
selector (JSON-like) :
Returns:
Model
'''
result = list(self.select(selector))
if len(result) > 1:
raise ValueError("Found more than one object matching %s: %r" % (selector, result))
if len(result) == 0:
return None
return result[0]
def set_select(self, selector, updates):
''' Update objects that match a given selector with the specified
attribute/value updates.
Args:
selector (JSON-like) :
updates (dict) :
Returns:
None
'''
for obj in self.select(selector):
for key, val in updates.items():
setattr(obj, key, val)
def to_json(self, include_defaults):
''' Returns a dictionary of the attributes of this object,
containing only "JSON types" (string, number, boolean,
none, dict, list).
References to other objects are serialized as "refs" (just
the object ID and type info), so the deserializer will
need to separately have the full attributes of those
other objects.
There's no corresponding ``from_json()`` because to
deserialize an object is normally done in the context of a
Document (since the Document can resolve references).
For most purposes it's best to serialize and deserialize
entire documents.
Args:
include_defaults (bool) : whether to include attributes
that haven't been changed from the default
'''
return loads(self.to_json_string(include_defaults=include_defaults))
def to_json_string(self, include_defaults):
''' Returns a JSON string encoding the attributes of this object.
References to other objects are serialized as references
(just the object ID and type info), so the deserializer
will need to separately have the full attributes of those
other objects.
There's no corresponding ``from_json_string()`` because to
deserialize an object is normally done in the context of a
Document (since the Document can resolve references).
For most purposes it's best to serialize and deserialize
entire documents.
Args:
include_defaults (bool) : whether to include attributes
that haven't been changed from the default
'''
json_like = self._to_json_like(include_defaults=include_defaults)
json_like['id'] = self._id
# serialize_json "fixes" the JSON from _to_json_like by converting
# all types into plain JSON types # (it converts Model into refs,
# for example).
return serialize_json(json_like)
def trigger(self, attr, old, new, hint=None, setter=None):
'''
'''
# The explicit assumption here is that hinted events do not need to
# go through all the same invalidation steps. Currently this is the
# case for ColumnsStreamedEvent and ColumnsPatchedEvent. However,
# this may need to be further refined in the future, if the
# assumption does not hold for future hinted events (e.g. the hint
# could specify explicitly whether to do normal invalidation or not)
if hint is None:
dirty = { 'count' : 0 }
def mark_dirty(obj):
dirty['count'] += 1
if self._document is not None:
_visit_value_and_its_immediate_references(new, mark_dirty)
_visit_value_and_its_immediate_references(old, mark_dirty)
if dirty['count'] > 0:
self._document._invalidate_all_models()
# chain up to invoke callbacks
super(Model, self).trigger(attr, old, new, hint=hint, setter=setter)
def _attach_document(self, doc):
''' Attach a model to a Bokeh |Document|.
This private interface should only ever called by the Document
implementation to set the private ._document field properly
'''
if self._document is not None and self._document is not doc:
raise RuntimeError("Models must be owned by only a single document, %r is already in a doc" % (self))
doc.theme.apply_to_model(self)
self._document = doc
self._update_event_callbacks()
@staticmethod
def _clear_extensions():
MetaModel.model_class_reverse_map = {
k:v for k,v in MetaModel.model_class_reverse_map.items()
if getattr(v, "__implementation__", None) is None
}
def _detach_document(self):
''' Detach a model from a Bokeh |Document|.
This private interface should only ever called by the Document
implementation to unset the private ._document field properly
'''
self._document = None
default_theme.apply_to_model(self)
def _to_json_like(self, include_defaults):
''' Returns a dictionary of the attributes of this object, in
a layout corresponding to what BokehJS expects at unmarshalling time.
This method does not convert "Bokeh types" into "plain JSON types,"
for example each child Model will still be a Model, rather
than turning into a reference, numpy isn't handled, etc.
That's what "json like" means.
This method should be considered "private" or "protected",
for use internal to Bokeh; use ``to_json()`` instead because
it gives you only plain JSON-compatible types.
Args:
include_defaults (bool) : whether to include attributes
that haven't been changed from the default.
'''
all_attrs = self.properties_with_values(include_defaults=include_defaults)
# If __subtype__ is defined, then this model may introduce properties
# that don't exist on __view_model__ in bokehjs. Don't serialize such
# properties.
subtype = getattr(self.__class__, "__subtype__", None)
if subtype is not None and subtype != self.__class__.__view_model__:
attrs = {}
for attr, value in all_attrs.items():
if attr in self.__class__.__dict__:
continue
else:
attrs[attr] = value
else:
attrs = all_attrs
for (k, v) in attrs.items():
# we can't serialize Infinity, we send it as None and
# the other side has to fix it up. This transformation
# can't be in our json_encoder because the json
# module checks for inf before it calls the custom
# encoder.
if isinstance(v, float) and v == float('inf'):
attrs[k] = None
return attrs
def _repr_html_(self):
'''
'''
module = self.__class__.__module__
name = self.__class__.__name__
_id = getattr(self, "_id", None)
cls_name = make_id()
def row(c):
return '<div style="display: table-row;">' + c + '</div>'
def hidden_row(c):
return '<div class="%s" style="display: none;">%s</div>' % (cls_name, c)
def cell(c):
return '<div style="display: table-cell;">' + c + '</div>'
html = ''
html += '<div style="display: table;">'
ellipsis_id = make_id()
ellipsis = '<span id="%s" style="cursor: pointer;">…)</span>' % ellipsis_id
prefix = cell('<b title="%s.%s">%s</b>(' % (module, name, name))
html += row(prefix + cell('id' + ' = ' + repr(_id) + ', ' + ellipsis))
props = self.properties_with_values().items()
sorted_props = sorted(props, key=itemgetter(0))
all_props = sorted_props
for i, (prop, value) in enumerate(all_props):
end = ')' if i == len(all_props)-1 else ','
html += hidden_row(cell("") + cell(prop + ' = ' + repr(value) + end))
html += '</div>'
html += _HTML_REPR % dict(ellipsis_id=ellipsis_id, cls_name=cls_name)
return html
#-----------------------------------------------------------------------------
# Private API
#-----------------------------------------------------------------------------
def _visit_immediate_value_references(value, visitor):
''' Visit all references to another Model without recursing into any
of the child Model; may visit the same Model more than once if
it's referenced more than once. Does not visit the passed-in value.
'''
if isinstance(value, HasProps):
for attr in value.properties_with_refs():
child = getattr(value, attr)
_visit_value_and_its_immediate_references(child, visitor)
else:
_visit_value_and_its_immediate_references(value, visitor)
_common_types = {int, float, str}
def _visit_value_and_its_immediate_references(obj, visitor):
''' Recurse down Models, HasProps, and Python containers
The ordering in this function is to optimize performance. We check the
most comomn types (int, float, str) first so that we can quickly return in
the common case. We avoid isinstance and issubclass checks in a couple
places with `type` checks because isinstance checks can be slow.
'''
typ = type(obj)
if typ in _common_types: # short circuit on common base types
return
if typ is list or issubclass(typ, (list, tuple)): # check common containers
for item in obj:
_visit_value_and_its_immediate_references(item, visitor)
elif issubclass(typ, dict):
for key, value in iteritems(obj):
_visit_value_and_its_immediate_references(key, visitor)
_visit_value_and_its_immediate_references(value, visitor)
elif issubclass(typ, HasProps):
if issubclass(typ, Model):
visitor(obj)
else:
# this isn't a Model, so recurse into it
_visit_immediate_value_references(obj, visitor)
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
