bokeh.models.sources.AjaxDataSource

def build_html():
    """Build the html, to be served by IndexHandler"""
    source = AjaxDataSource(data_url='./data',
                            polling_interval=INTERVAL,
                            method='GET')

    # OHLC plot
    p = figure(plot_height=400,
               title='OHLC',
               sizing_mode='scale_width',
               tools="xpan,xwheel_zoom,xbox_zoom,reset",
               x_axis_type=None,
               y_axis_location="right",
               y_axis_label="Price ($)")
    p.x_range.follow = "end"
    p.x_range.follow_interval = 100
    p.x_range.range_padding = 0
    p.line(x='time', y='average', alpha=0.25, line_width=3, color='black',
           source=source)
    p.line(x='time', y='ma', alpha=0.8, line_width=2, color='steelblue',
           source=source)
    p.segment(x0='time', y0='low', x1='time', y1='high', line_width=2,
              color='black', source=source)
    p.segment(x0='time', y0='open', x1='time', y1='close', line_width=8,
              color='color', source=source, alpha=0.8)

    # MACD plot
    p2 = figure(plot_height=200,
                title='MACD',
                sizing_mode='scale_width',
                x_range=p.x_range,
                x_axis_label='Time (s)',
                tools="xpan,xwheel_zoom,xbox_zoom,reset",
                y_axis_location="right")
    p2.line(x='time', y='macd', color='darkred', line_width=2, source=source)
    p2.line(x='time', y='macd9', color='navy', line_width=2, source=source)
    p2.segment(x0='time', y0=0, x1='time', y1='macdh', line_width=6, color='steelblue',
               alpha=0.5, source=source)

    # Combine plots together
    plot = gridplot([[p], [p2]], toolbar_location="left", plot_width=1000)

    # Compose html from plots and template
    script, div = components(plot, theme=theme)
    html = template.render(resources=CDN.render(), script=script, div=div)

    return html


class IndexHandler(RequestHandler):