def index(*unused_all, **kwargs):
if getattr(app, "debugjs", False):
slug = hemlib.slug_json()
static_js = hemlib.slug_libs(app, slug['libs'])
hem_js = hemlib.all_coffee_assets("localhost")
else:
static_js = ['/bokeh/static/js/application.js']
hem_js = []
return render_template('bokeh.html', jsfiles=static_js, hemfiles=hem_js)
def index(*unused_all, **kwargs):
if getattr(app, "debugjs", False):
slug = hemlib.slug_json()
static_js = hemlib.slug_libs(app, slug['libs'])
hem_js = hemlib.all_coffee_assets("localhost", app.hem_port)
else:
static_js = ['/bokeh/static/js/application.js']
hem_js = []
return render_template('bokeh.html', jsfiles=static_js, hemfiles=hem_js)
def embed_with_delay():
"""this is made to test the case where application.js is already
loaded, and embed.js script tags are dynamically injected"""
if app.debug:
slug = hemlib.slug_json()
static_js = hemlib.slug_libs(app, slug["libs"])
hemsource = os.path.join(app.static_folder, "coffee")
hem_js = hemlib.coffee_assets(hemsource, "localhost", 9294)
hemsource = os.path.join(app.static_folder, "vendor", "bokehjs", "coffee")
hem_js += hemlib.coffee_assets(hemsource, "localhost", 9294)
else:
static_js = ["/bokeh/static/js/application.js"]
hem_js = []
return render_template("embed_with_delay.html", jsfiles=static_js, hemfiles=hem_js)
def embed_with_delay():
"""this is made to test the case where application.js is already
loaded, and embed.js script tags are dynamically injected"""
if app.debug:
slug = hemlib.slug_json()
static_js = hemlib.slug_libs(app, slug['libs'])
hemsource = os.path.join(app.static_folder, "coffee")
hem_js = hemlib.coffee_assets(hemsource, "localhost", 9294)
hemsource = os.path.join(app.static_folder, "vendor",
"bokehjs", "coffee")
hem_js += hemlib.coffee_assets(hemsource, "localhost", 9294)
else:
static_js = ['/bokeh/static/js/application.js']
hem_js = []
return render_template("embed_with_delay.html", jsfiles=static_js, hemfiles=hem_js)
def dom_embed(plot, **kwargs):
if app.debug:
from continuumweb import hemlib
slug = hemlib.slug_json()
static_js = hemlib.slug_libs(app, slug['libs'])
hemsource = os.path.join(app.static_folder, "coffee")
hem_js = hemlib.coffee_assets(hemsource, "localhost", 9294)
hemsource = os.path.join(app.static_folder, "vendor",
"bokehjs", "coffee")
hem_js += hemlib.coffee_assets(hemsource, "localhost", 9294)
else:
static_js = ['/bokeh/static/js/application.js']
hem_js = []
return render_template(
"embed.html", jsfiles=static_js, hemfiles=hem_js,
docid=plot._session.docid, docapikey=plot._session.apikey, modelid=plot._id,
**kwargs)
def dom_embed(plot, **kwargs):
if bokeh_app.debug:
from continuumweb import hemlib
slug = hemlib.slug_json()
static_js = hemlib.slug_libs(bokeh_app, slug['libs'])
hemsource = os.path.join(bokeh_app.static_folder, "coffee")
hem_js = hemlib.coffee_assets(hemsource, "localhost", 9294)
hemsource = os.path.join(bokeh_app.static_folder, "vendor",
"bokehjs", "coffee")
hem_js += hemlib.coffee_assets(hemsource, "localhost", 9294)
else:
static_js = ['/bokeh/static/js/bokeh.js']
hem_js = []
plot2 = make_test_plot()
return render_template(
"embed.html", jsfiles=static_js, hemfiles=hem_js,
docid=plot._session.docid, docapikey=plot._session.apikey, modelid=plot._id,
plot2=plot2, **kwargs)
def generate_embed_test():
"""this generates a new plot and uses the script inject to put it
into a page running this repeatedly will fill up your redis DB
quickly, but it allows quick iteration
"""
from numpy import pi, arange, sin, cos
import numpy as np
from bokeh.objects import (
Plot, DataRange1d, LinearAxis, Rule,
ColumnDataSource, GlyphRenderer,
PanTool, ZoomTool, PreviewSaveTool)
from bokeh.glyphs import Circle
from bokeh import session
x = arange(-2*pi, 2*pi, 0.1)
y = sin(x)
z = cos(x)
widths = np.ones_like(x) * 0.02
heights = np.ones_like(x) * 0.2
source = ColumnDataSource(data=dict(x=x,y=y,z=z,widths=widths,
heights=heights))
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
circle = Circle(x="x", y="y", fill="red", radius=5, line_color="black")
glyph_renderer = GlyphRenderer(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = circle)
pantool = PanTool(dataranges = [xdr, ydr], dimensions=["width","height"])
#zoomtool = ZoomTool(dataranges=[xdr,ydr], dimensions=("width","height"))
previewtool = PreviewSaveTool(dataranges=[xdr,ydr], dimensions=("width","height"))
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source],
border= 80)
xaxis = LinearAxis(plot=plot, dimension=0)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Rule(plot=plot, dimension=0)
ygrid = Rule(plot=plot, dimension=1)
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, previewtool]
sess = session.PlotServerSession(
username="******",
serverloc="http://localhost:5006", userapikey="nokey")
sess.use_doc("glyph2")
sess.add(plot, glyph_renderer, xaxis, yaxis, xgrid, ygrid, source,
xdr, ydr, pantool, previewtool)
sess.plotcontext.children.append(plot)
sess.plotcontext._dirty = True
# not so nice.. but set the model doens't know
# that we appended to children
sess.store_all()
if app.debug:
slug = hemlib.slug_json()
static_js = hemlib.slug_libs(app, slug['libs'])
hemsource = os.path.join(app.static_folder, "coffee")
hem_js = hemlib.coffee_assets(hemsource, "localhost", 9294)
hemsource = os.path.join(app.static_folder, "vendor",
"bokehjs", "coffee")
hem_js += hemlib.coffee_assets(hemsource, "localhost", 9294)
else:
static_js = ['/bokeh/static/js/application.js']
hem_js = []
return render_template("generate_embed_test.html", jsfiles=static_js, hemfiles=hem_js,
plot_scr=plot.script_inject())
def generate_embed_test():
"""this generates a new plot and uses the script inject to put it
into a page running this repeatedly will fill up your redis DB
quickly, but it allows quick iteration
"""
from numpy import pi, arange, sin, cos
import numpy as np
from bokeh.objects import (
Plot, DataRange1d, LinearAxis, Rule,
ColumnDataSource, GlyphRenderer,
PanTool, ZoomTool, PreviewSaveTool)
from bokeh.glyphs import Circle
from bokeh import session
x = arange(-2*pi, 2*pi, 0.1)
y = sin(x)
z = cos(x)
widths = np.ones_like(x) * 0.02
heights = np.ones_like(x) * 0.2
source = ColumnDataSource(data=dict(x=x,y=y,z=z,widths=widths,
heights=heights))
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
circle = Circle(x="x", y="y", fill="red", radius=5, line_color="black")
glyph_renderer = GlyphRenderer(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = circle)
pantool = PanTool(dataranges = [xdr, ydr], dimensions=["width","height"])
#zoomtool = ZoomTool(dataranges=[xdr,ydr], dimensions=("width","height"))
previewtool = PreviewSaveTool(dataranges=[xdr,ydr], dimensions=("width","height"))
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source],
border= 80)
xaxis = LinearAxis(plot=plot, dimension=0)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Rule(plot=plot, dimension=0)
ygrid = Rule(plot=plot, dimension=1)
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, previewtool]
sess = session.PlotServerSession(
username="******",
serverloc="http://localhost:5006", userapikey="nokey")
sess.use_doc("glyph2")
sess.add(plot, glyph_renderer, xaxis, yaxis, xgrid, ygrid, source,
xdr, ydr, pantool, previewtool)
sess.plotcontext.children.append(plot)
sess.plotcontext._dirty = True
# not so nice.. but set the model doens't know
# that we appended to children
sess.store_all()
if app.debug:
slug = hemlib.slug_json()
static_js = hemlib.slug_libs(app, slug['libs'])
hemsource = os.path.join(app.static_folder, "coffee")
hem_js = hemlib.coffee_assets(hemsource, "localhost", 9294)
hemsource = os.path.join(app.static_folder, "vendor",
"bokehjs", "coffee")
hem_js += hemlib.coffee_assets(hemsource, "localhost", 9294)
else:
static_js = ['/bokeh/static/js/application.js']
hem_js = []
return render_template("generate_embed_test.html", jsfiles=static_js, hemfiles=hem_js,
plot_scr=plot.script_inject())