Exploring your remote data with tabulator

Another try using panel

Ok, let’s collect the contents of our falnama-project.

from fairdatanow import RemoteData2
import os

configuration = {
    'url': "https://laboppad.nl/falnama-project", 
    'user':    os.getenv('NC_AUTH_USER'),
    'password': os.getenv('NC_AUTH_PASS')
}

remote_data = RemoteData2(configuration)

file_table = remote_data.listdir('falnama-project')

file_table

Please wait while scanning all file paths in remote folder...

<<<<<<< HEAD

Here is an embedded iframe:

And a link

remote_data.download_selected()

Ready with downloading 2 selected remote files to local cache: /home/koen-linux/.cache/fairdatanow                                                                      

['/home/koen-linux/.cache/fairdatanow/falnama-project/07. Results/01. Xray-images (RMA)/3.xray-jpgs/71803-10_bottom_Falnama_grenz_2-2_edited.jpg',
 '/home/koen-linux/.cache/fairdatanow/falnama-project/07. Results/01. Xray-images (RMA)/3.xray-jpgs/71803-10_top_Falnama_grenz_1-2_edited.jpg']

FUNCTIONS

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source

RemoteData2

 RemoteData2 (configuration)

Recursively scan the contents of a remote webdav server as specified by configuration.

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to_iframe

 to_iframe (panel_layout, html_file, height=500)

Save panel_layout object as full HTML page html_file in iframes* subfolder.

Returns: iframe_link

In this way it should be possible to preserve rich interactive visualizations directly in web pages.

See: https://panel.holoviz.org/reference/panes/HTML.html#html-documents*