Запускать приложение сервера bokeh из приложения фляги? - PullRequest
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Запускать приложение сервера bokeh из приложения фляги?

0 голосов
/ 25 сентября 2019

Я хочу, чтобы мое приложение слайдеров Bokeh находилось внутри колбы.

Вот код моего приложения Bokeh, взятый непосредственно из примера Bokeh sliders.py: 

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.
'''
import numpy as np

from bokeh.io import curdoc
from bokeh.layouts import row, column
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import 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(plot_height=400, plot_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)


# 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)

curdoc().add_root(row(inputs, plot, width=800))
curdoc().title = "Sliders"

Вот мой основной.py код, который запускает приложение Flask. 

from flask import Flask, render_template

from bokeh.client import pull_session
from bokeh.embed import server_session

app = Flask(__name__)

@app.route('/', methods=['GET'])
def bkapp_page():

    # pull a new session from a running Bokeh server
    with pull_session(url="http://localhost:5006/sliders") as session:

        # update or customize that session
        session.document.roots[0].children[1].title.text = "Special Sliders For A Specific User!"

        # generate a script to load the customized session
        script = server_session(session_id=session.id, url='http://localhost:5006/sliders')

        # use the script in the rendered page
        return render_template("embed.html", script=script)

if __name__ == '__main__':
    app.run(port=8080)

Итак, я запускаю мое приложение ползунков с bokeh serve, захожу на него, и оно отлично работает.Затем я запускаю свое приложение Flask, и все, что я вижу, это пустая страница с ошибками консоли: 

Firefox can’t establish a connection to the server at ws://localhost:5006/sliders/ws?bokeh-protocol-version=1.0&bokeh-session-id=Z2BPtTLxYcfINlynDozIjp5goLx6UR8RFqPFG5O8QH3R. connection.js:55

[bokeh] Failed to connect to Bokeh server Error: Could not open websocket connection.js:287

[bokeh] Lost websocket 0 connection, 1006 () connection.js:208

[bokeh] Websocket connection 0 disconnected, will not attempt to reconnect

Что мешает подключению через веб-сокет?

Это мой шаблон embed.html.выглядит так же: 

<!DOCTYPE html>
<html lang="en">
    <head>
        <meta charset="utf-8">
        <script src="https://cdn.pydata.org/bokeh/release/bokeh-1.3.4.min.js"></script>
        <script src="https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.3.4.min.js"></script>
        <script src="https://cdn.pydata.org/bokeh/release/bokeh-tables-1.3.4.min.js"></script>
    </head>

    <body>
        {{ script|safe }}

    </body>
</html>
...