def components(self, obj, fmt=None, comm=True, **kwargs):
"""
Returns data and metadata dictionaries containing HTML and JS
components to include render in app, notebook, or standalone
document.
"""
if isinstance(obj, Plot):
plot = obj
else:
plot, fmt = self._validate(obj, fmt)
data, metadata = {}, {}
if isinstance(plot, Viewable):
from bokeh.document import Document
dynamic = bool(plot.object.traverse(lambda x: x, [DynamicMap]))
embed = (not (dynamic or self.widget_mode == 'live') or config.embed)
comm = self.comm_manager.get_server_comm() if comm else None
doc = Document()
with config.set(embed=embed):
model = plot.layout._render_model(doc, comm)
return render_model(model, comm) if embed else render_mimebundle(model, doc, comm)
else:
html = self._figure_data(plot, fmt, as_script=True, **kwargs)
data['text/html'] = html
return (data, {MIME_TYPES['jlab-hv-exec']: metadata})
def test_render_mimebundle(document, comm):
div = Div()
data, metadata = render_mimebundle(div, document, comm)
assert metadata == {
'application/vnd.holoviews_exec.v0+json': {
'id': div.ref['id']
}
}
assert 'application/vnd.holoviews_exec.v0+json' in data
assert 'text/html' in data
assert data['application/vnd.holoviews_exec.v0+json'] == ''
def components(self, obj, fmt=None, comm=True, **kwargs):
"""
Returns data and metadata dictionaries containing HTML and JS
components to include render in app, notebook, or standalone
document.
"""
if isinstance(obj, Plot):
plot = obj
else:
plot, fmt = self._validate(obj, fmt)
data, metadata = {}, {}
if isinstance(plot, Viewable):
registry = list(Stream.registry.items())
objects = plot.object.traverse(lambda x: x)
dynamic, streams = False, False
for source in objects:
dynamic |= isinstance(source, DynamicMap)
streams |= any(
src is source or (src._plot_id is not None
and src._plot_id == source._plot_id)
for src, streams in registry for s in streams)
embed = (not (dynamic or streams or self.widget_mode == 'live')
or config.embed)
comm = self.comm_manager.get_server_comm() if comm else None
doc = Document()
with config.set(embed=embed):
model = plot.layout._render_model(doc, comm)
if embed:
return render_model(model, comm)
else:
args = (model, doc, comm)
if panel_version > '0.9.3':
from panel.models.comm_manager import CommManager
ref = model.ref['id']
manager = CommManager(comm_id=comm.id, plot_id=ref)
client_comm = self.comm_manager.get_client_comm(
on_msg=partial(plot._on_msg, ref, manager),
on_error=partial(plot._on_error, ref),
on_stdout=partial(plot._on_stdout, ref))
manager.client_comm_id = client_comm.id
args = args + (manager, )
return render_mimebundle(*args)
else:
html = self._figure_data(plot, fmt, as_script=True, **kwargs)
data['text/html'] = html
return (data, {MIME_TYPES['jlab-hv-exec']: metadata})
def _render_panel(self, plot, embed=False, comm=True):
comm = self.comm_manager.get_server_comm() if comm else None
doc = Document()
with config.set(embed=embed):
model = plot.layout._render_model(doc, comm)
if embed:
return render_model(model, comm)
ref = model.ref['id']
manager = PnCommManager(comm_id=comm.id, plot_id=ref)
client_comm = self.comm_manager.get_client_comm(
on_msg=partial(plot._on_msg, ref, manager),
on_error=partial(plot._on_error, ref),
on_stdout=partial(plot._on_stdout, ref)
)
manager.client_comm_id = client_comm.id
return render_mimebundle(model, doc, comm, manager)
def _figure_data(self, plot, fmt, doc=None, as_script=False, **kwargs):
"""
Given a plot instance, an output format and an optional bokeh
document, return the corresponding data. If as_script is True,
the content will be split in an HTML and a JS component.
"""
model = plot.state
if doc is None:
doc = plot.document
else:
plot.document = doc
for m in model.references():
m._document = None
doc.theme = self.theme
doc.add_root(model)
# Bokeh raises warnings about duplicate tools and empty subplots
# but at the holoviews level these are not issues
logger = logging.getLogger(bokeh.core.validation.check.__file__)
logger.disabled = True
if fmt == 'png':
from bokeh.io.export import get_screenshot_as_png
img = get_screenshot_as_png(plot.state, None)
imgByteArr = BytesIO()
img.save(imgByteArr, format='PNG')
data = imgByteArr.getvalue()
if as_script:
b64 = base64.b64encode(data).decode("utf-8")
(mime_type, tag) = MIME_TYPES[fmt], HTML_TAGS[fmt]
src = HTML_TAGS['base64'].format(mime_type=mime_type, b64=b64)
div = tag.format(src=src, mime_type=mime_type, css='')
else:
div = render_mimebundle(plot.state, doc, plot.comm)[0]['text/html']
plot.document = doc
if as_script:
return div
else:
return data
def _figure_data(self, plot, fmt, doc=None, as_script=False, **kwargs):
"""
Given a plot instance, an output format and an optional bokeh
document, return the corresponding data. If as_script is True,
the content will be split in an HTML and a JS component.
"""
model = plot.state
if doc is None:
doc = plot.document
else:
plot.document = doc
for m in model.references():
m._document = None
doc.theme = self.theme
doc.add_root(model)
# Bokeh raises warnings about duplicate tools and empty subplots
# but at the holoviews level these are not issues
logger = logging.getLogger(bokeh.core.validation.check.__file__)
logger.disabled = True
if fmt == 'gif':
from bokeh.io.export import get_screenshot_as_png, create_webdriver
webdriver = create_webdriver()
nframes = len(plot)
frames = []
for i in range(nframes):
plot.update(i)
img = get_screenshot_as_png(plot.state, webdriver)
frames.append(img)
webdriver.close()
bio = BytesIO()
duration = (1. / self.fps) * 1000
frames[0].save(bio,
format='GIF',
append_images=frames[1:],
save_all=True,
duration=duration,
loop=0)
bio.seek(0)
data = bio.read()
elif fmt == 'png':
from bokeh.io.export import get_screenshot_as_png
img = get_screenshot_as_png(plot.state, None)
imgByteArr = BytesIO()
img.save(imgByteArr, format='PNG')
data = imgByteArr.getvalue()
else:
div = render_mimebundle(plot.state, doc, plot.comm)[0]['text/html']
if as_script and fmt in ['png', 'gif']:
b64 = base64.b64encode(data).decode("utf-8")
(mime_type, tag) = MIME_TYPES[fmt], HTML_TAGS[fmt]
src = HTML_TAGS['base64'].format(mime_type=mime_type, b64=b64)
div = tag.format(src=src, mime_type=mime_type, css='')
plot.document = doc
if as_script:
return div
else:
return data
def components(self, obj, fmt=None, comm=True, **kwargs):
"""
Returns data and metadata dictionaries containing HTML and JS
components to include render in app, notebook, or standalone
document.
"""
if isinstance(obj, Plot):
plot = obj
else:
plot, fmt = self._validate(obj, fmt)
data, metadata = {}, {}
if isinstance(plot, Viewable):
registry = list(Stream.registry.items())
objects = plot.object.traverse(lambda x: x)
dynamic, streams = False, False
for source in objects:
dynamic |= isinstance(source, DynamicMap)
streams |= any(
src is source or (src._plot_id is not None and src._plot_id == source._plot_id)
for src, streams in registry for s in streams
)
embed = (not (dynamic or streams or self.widget_mode == 'live') or config.embed)
# This part should be factored out in Panel and then imported
# here for HoloViews 2.0, which will be able to require a
# recent Panel version.
if embed or config.comms == 'default':
comm = self.comm_manager.get_server_comm() if comm else None
doc = Document()
with config.set(embed=embed):
model = plot.layout._render_model(doc, comm)
if embed:
return render_model(model, comm)
args = (model, doc, comm)
if panel_version > '0.9.3':
from panel.models.comm_manager import CommManager
ref = model.ref['id']
manager = CommManager(comm_id=comm.id, plot_id=ref)
client_comm = self.comm_manager.get_client_comm(
on_msg=partial(plot._on_msg, ref, manager),
on_error=partial(plot._on_error, ref),
on_stdout=partial(plot._on_stdout, ref)
)
manager.client_comm_id = client_comm.id
args = args + (manager,)
return render_mimebundle(*args)
# Handle rendering object as ipywidget
widget = ipywidget(plot, combine_events=True)
if hasattr(widget, '_repr_mimebundle_'):
return widget._repr_mimebundle()
plaintext = repr(widget)
if len(plaintext) > 110:
plaintext = plaintext[:110] + '…'
data = {
'text/plain': plaintext,
}
if widget._view_name is not None:
data['application/vnd.jupyter.widget-view+json'] = {
'version_major': 2,
'version_minor': 0,
'model_id': widget._model_id
}
if config.comms == 'vscode':
# Unfortunately VSCode does not yet handle _repr_mimebundle_
from IPython.display import display
display(data, raw=True)
return {'text/html': '<div style="display: none"></div>'}, {}
return data, {}
else:
html = self._figure_data(plot, fmt, as_script=True, **kwargs)
data['text/html'] = html
return (data, {MIME_TYPES['jlab-hv-exec']: metadata})