Jupyter -> Vega -> Kibana visualization (without disabling security). How?

[J_Todd]

@Iker

myurl = 'http://kib01:5601/api/saved_objects/visualization'

    headers = {
        'kbn-xsrf' : 'true',
        'Content-Type' : 'application/json'
    }
    
    x = requests.post(myurl, data=json.dumps(visSavedObject), auth=("myuser", "mysupersecretpass"), headers=headers)

Thanks, this is awesome!

How do we use this API for non-local access? I didn't see any place for our API key in the headers, nor do I seem to be able to see what address endpoint Elastic is actually using (We're hosting it through Elastic's standard cloud service), maybe https://api.elastic-cloud.com/api/v1?

If that's the correct endpoint, their documentation doesn't do a great job of demoing how to set up a connection. I've seen documentations demo the API connection in 10 different languages, this one just demo's a GUI app lol.

Elastic has a Python client which we were obviously using in a our previous code, but for some reason I don't see any method in it designed for using the paths like you did in your code to hit that /api/saved_objects/visualization API endpoint.

Edit: Ok for the API key entry, I think I see it at https://cloud.elastic.co/api/v1/api-docs/spec.json, down at the bottom:

"security": [
        {
            "apiKey": []
        }
    ]