python - Refresh Bokeh 0.12.6 graph with streaming data from Flask -


struggling bokeh , flask graph data streaming.

data source update scheduled , not managed bokeh (i see done every second).

how force refresh of graph (possibly not of page there multiple graphs around in final version)?

here stripped down , runnable version of faulty code. idea welcome.

# -*- coding: utf-8 -*-  import numpy np import pandas pd  bokeh.embed import components bokeh.plotting import figure bokeh.resources import inline bokeh.models.sources import columndatasource  flask import flask, render_template_string flask_apscheduler import apscheduler apscheduler.triggers.interval import intervaltrigger  html_template = """ <!doctype html> <html lang="en">     <head>         <meta charset="utf-8">         {{ js_resources | safe }}         {{ css_resources | safe }}     </head>     <body>         <div>             {{ plot_div.graph_1 | safe }}         </div>          {{ plot_script | safe }}     </body> </html> """ resources = inline js_resources = resources.render_js() css_resources = resources.render_css()  app = flask(__name__)  @app.route("/") def main_graph():      script, div = components({'graph_1': graph_1.figure,})      return  render_template_string(html_template,         js_resources=js_resources,         css_resources=css_resources,         plot_script=script,         plot_div=div)  # -------------------------------------------------------------------------------------------------------------------   class generic3lines:      def __init__(self, scheduler):          self.data_source = columndatasource()          self.figure = figure()         self.figure.axis.visible = true          self.update_data()          line1 = self.figure.line(y="value_1", line_color="red",   x="date_time", source=self.data_source)         line2 = self.figure.line(y="value_2", line_color="blue",  x="date_time", source=self.data_source)         line3 = self.figure.line(y="value_3", line_color="green", x="date_time", source=self.data_source)          scheduler.add_job(id="scheduled_update", func=self.update_data, trigger=intervaltrigger(seconds=1))      def update_data(self):          df = pd.dataframe(dict(             date_time = range(180),             "value_1" = np.random.random(size=180)*5+5,             "value_2" = np.random.random(size=180)*5+10,             "value_3" = np.random.random(size=180)*5+15,         ))          print(df.head(1))          self.data_source = dict(date_time=df["date_time"],                                  value_1=df["value_1"],                                  value_2=df["value_2"],                                  value_3=df["value_3"],                                  )  scheduler = apscheduler() scheduler.start()  graph_1 = generic3lines(scheduler=scheduler)  if __name__ == "__main__":     app.run(host="0.0.0.0", port=5050)


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