Panel

Convert Jupyter Notebook to PDF File

Voila 不能正確 render Boken 所以應該很多 HoloViz Panel 的元件都沒辦法用 Voila 佈署。

下面這個 app 在 Jupyter 的環境下可以讓使用者上傳 notebook file 並編譯成 PDF，但因為檔案上傳的部份是用 Panel 寫的，Voila render 出來的版本就沒辦法用。用 Panel 寫檔案上傳下載比 ipywedgets 容易多了，但 Voila 無法 render

from ipywidgets import Button, Output
from IPython.display import display
import subprocess
import panel as pn
pn.extension()

fileInput = pn.widgets.FileInput()
output = Output()
convertButton = Button(description='Convert')

def convert(b):
    with output:
        print('In convert')
        nbName = fileInput.filename
        pdfName = nbName.replace('ipynb', 'pdf')
        fileInput.save(nbName)
        subprocess.run(['jupyter', 'nbconvert', '--to', 'pdf', nbName])

convertButton.on_click(convert)


display(fileInput, convertButton, output)

from notebook import notebookapp
from pprint import pprint
servers = list(notebookapp.list_running_servers())
pprint(servers)

[{'base_url': '/user/beginnersc-sandbox-stable-o84e6rsu/',
  'hostname': '0.0.0.0',
  'notebook_dir': '/home/jovyan',
  'password': False,
  'pid': 1,
  'port': 8888,
  'secure': False,
  'token': 'auxguyd5S9y7WWn4dIl4SA',
  'url': 'http://0.0.0.0:8888/user/beginnersc-sandbox-stable-o84e6rsu/'}]

# from jupyter_dash import JupyterDash
# import dash_html_components as html

# JupyterDash.infer_jupyter_proxy_config()

# JupyterDash()
# JupyterDash.default_server_url

Minimum code to get server url

From JupyterDash source code. Below will work if JupyterDash is installed, but in Voila will still fail.

import IPython
from ipykernel.comm import Comm
import time
import sys

_jupyter_config = {}
_dash_comm = Comm(target_name='jupyter_dash')

print(0)

0

@_dash_comm.on_msg
def _receive_message(msg):
    msg_data = msg.get('content').get('data')
    msg_type = msg_data.get('type', None)
    if msg_type == 'base_url_response':
        _jupyter_config.update(msg_data)

_dash_comm.send({'type': 'base_url_request'})
print(0)

0

# # Get shell and kernel
# shell = IPython.get_ipython()
# kernel = shell.kernel

# # Start capturing shell events to replay later
# captured_events = []

# def capture_event(stream, ident, parent):
#     captured_events.append((stream, ident, parent))

# kernel.shell_handlers['execute_request'] = capture_event

# # increment execution count to avoid collision error
# shell.execution_count += 1

# print(0)
# t0 = time.time()
# while True:
#     if (time.time() - t0) > 2:
#         # give up
#         raise EnvironmentError(
#             "Unable to communicate with the jupyter_dash notebook or JupyterLab \n"
#             "extension required to infer Jupyter configuration."
#         )
#     if bool(_jupyter_config):
#         break

#     kernel.do_one_iteration()

# print(0)
# _jupyter_config