main.py

''' Present an interactive function explorer with slider widgets.

Scrub the sliders to change the properties of the ``sin`` curve, or
type into the title text box to update the title of the plot.

Use the ``bokeh serve`` command to run the example by executing:

    bokeh serve sliders.py

at your command prompt. Then navigate to the URL

    http://localhost:5006/sliders

in your browser.

.. note::
    Bokeh server authentication hooks are building blocks that can be used by
    experienced users to implement any authentication flow they require. This
    example is a "toy" example that is only intended to demonstrate how those
    building blocks fit together. It should not be used as-is for "production"
    use. Users looking for pre-built auth flows that work out of the box
    should consider a higher level tool, such as Panel:

    https://panel.holoviz.org/user_guide/Authentication.html

'''
import numpy as np

from bokeh.io import curdoc
from bokeh.layouts import column, row
from bokeh.models import Button, ColumnDataSource, CustomJS, Slider, TextInput
from bokeh.plotting import figure

# Set up data
N = 200
x = np.linspace(0, 4*np.pi, N)
y = np.sin(x)
source = ColumnDataSource(data=dict(x=x, y=y))

# Set up plot
plot = figure(height=400, width=400, title="my sine wave",
              tools="crosshair,pan,reset,save,wheel_zoom",
              x_range=[0, 4*np.pi], y_range=[-2.5, 2.5])

plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)

# Set up widgets
text = TextInput(title="title", value='my sine wave')
offset = Slider(title="offset", value=0.0, start=-5.0, end=5.0, step=0.1)
amplitude = Slider(title="amplitude", value=1.0, start=-5.0, end=5.0, step=0.1)
phase = Slider(title="phase", value=0.0, start=0.0, end=2*np.pi)
freq = Slider(title="frequency", value=1.0, start=0.1, end=5.1, step=0.1)
logout = Button(label="logout")
logout.js_on_event("button_click", CustomJS(code=f"window.location.href='{curdoc().session_context.request.path}{curdoc().session_context.logout_url}'"))

# Set up callbacks
def update_title(attrname, old, new):
    plot.title.text = text.value

text.on_change('value', update_title)

def update_data(attrname, old, new):
    # Get the current slider values
    a = amplitude.value
    b = offset.value
    w = phase.value
    k = freq.value

    # Generate the new curve
    x = np.linspace(0, 4*np.pi, N)
    y = a*np.sin(k*x + w) + b

    source.data = dict(x=x, y=y)

for w in [offset, amplitude, phase, freq]:
    w.on_change('value', update_data)

# Set up layouts and add to document
inputs = column(text, offset, amplitude, phase, freq, logout)

curdoc().add_root(row(inputs, plot, width=800))
curdoc().title = "PoC Bokeh Auth"