Bokeh Base Module

Bokeh base module for building Bokeh applications that are web-based, interactive, and can communicate with Python backends.

• Refer to API: neuralib.dashboard

Simple Example

from neuralib.dashboard import BokehServer, View

class Top(View):
    def setup(self):
        from bokeh.models import Div
        from bokeh.layouts import column
        return column(Div(text="Hello World!"))

SERVER = BokehServer('Example')
SERVER.start(Top())

General Application Structure

This structure follows the common MVC (Model-View-Controller) architecture:

• Model (M): A group of functions that handle data I/O and processing.

• View (V): A group of classes that hold Bokeh UI components.

• Controller (C): A group of functions that bridge the Model and View. These include UI event listeners, application control logic, and functions unrelated to direct data manipulation.

# Data I/O functions
def list_data() -> list[str]:
    ...

# Custom ViewComponent
class DataView(ViewComponent):
    ...

# Top View
class Top(View):
    view_data: DataView

    def setup(self):
        # Initialize view_data
        ...

    def update(self):
        # Update view_data
        ...

    # Controller functions
    def on_data_update(self, attr, old, value):
        ...  # Property change/update event

    def on_data_select(self, e):
        ...  # Action event

# Optional: CLI parser, main function, and server creation