⚙️ Webhook

Run a notebook by calling an URL.
Add
Send in production this notebook and get URL to run it when opened.
​
naas.webhook.add()
screenshot-api-add
Other files
You can also give a path to the function and that will deploy this one instead of the current one.
naas.webhook.add(path="path/to/my/super/notebook.ipynb")
Parameters
notif_down : Receive an email when the notebook run fails.
notif_up : Receive an email when the notebook runs well.
next_url : Redirect users to another URL after the notebook is run.
inline : Get a response in your web browser instead of downloading the result.
params = {"notif_down": "[email protected]", "notif_up": "[email protected]"}
​
naas.webhook.add(params=params)
Dynamic Parameters
When you notebook url is called in getting  or post, it accepts parameters with mime-type :
application/x-www-form-urlencoded
application/json
They will be injected into a new cell in the first position in your notebook.
If You want them to be added at a specific place add tag parameters in a cell and your dynamic parameters will be added in a new cell next to it.

Example of params
In this screenshot below, you can see variables from our notebook in the first cell, and in the second cell, the dynamic parameters injected.
Debug
Need to understand why somethings go bad?
naas.webhook.add(debug=True)
Response
Run a Notebook by API is not enough, you can return a result :
Html
Send back any HTML payload.
Don't be a fool and put Facebook code source here, the idea is to stay simple!
naas.webhook.respond_html("<h1>Check my super html !</h1>")
To confirm that is well loaded you should see it in the cell output.
JSON
naas.webhook.respond_json({"foo": "bar"})
Image
import requests
​
url = "https://picsum.photos/id/237/200/300"
​
naas.webhook.respond_image(requests.get(url, stream=True).content)
SVG
# Exemple Svg
jupyterlogo = '<svg role="img" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><title>Jupyter icon</title><path d="M7.157 22.201A1.784 1.799 0 0 1 5.374 24a1.784 1.799 0 0 1-1.784-1.799 1.784 1.799 0 0 1 1.784-1.799 1.784 1.799 0 0 1 1.783 1.799zM20.582 1.427a1.415 1.427 0 0 1-1.415 1.428 1.415 1.427 0 0 1-1.416-1.428A1.415 1.427 0 0 1 19.167 0a1.415 1.427 0 0 1 1.415 1.427zM4.992 3.336A1.047 1.056 0 0 1 3.946 4.39a1.047 1.056 0 0 1-1.047-1.055A1.047 1.056 0 0 1 3.946 2.28a1.047 1.056 0 0 1 1.046 1.056zm7.336 1.517c3.769 0 7.06 1.38 8.768 3.424a9.363 9.363 0 0 0-3.393-4.547 9.238 9.238 0 0 0-5.377-1.728A9.238 9.238 0 0 0 6.95 3.73a9.363 9.363 0 0 0-3.394 4.547c1.713-2.04 5.004-3.424 8.772-3.424zm.001 13.295c-3.768 0-7.06-1.381-8.768-3.425a9.363 9.363 0 0 0 3.394 4.547A9.238 9.238 0 0 0 12.33 21a9.238 9.238 0 0 0 5.377-1.729 9.363 9.363 0 0 0 3.393-4.547c-1.712 2.044-5.003 3.425-8.772 3.425Z"/></svg>'
​
naas.webhook.respond_svg(jupyterlogo)
Text
# Exemple text
text = "Hello Naas friends, do you love markdown as us ?"
​
naas.webhook.respond_text(markdown_text)
Markdown
# Exemple MD
markdown_text = "# Hello Naas friends<br /> Do you love markdown as us ?"
​
naas.webhook.respond_markdown(markdown_text)
CSV
Again, this is not intended to host a 6Go CSV file, it will break your notebook and you will lose access to it, use the "File" option instead.
# Exemple Csv
csv_text = ```
Sally Whittaker,2018,McCarren House,312,3.75
Belinda Jameson,2017,Cushing House,148,3.52
Jeff Smith,2018,Prescott House,17-D,3.20
Sandy Allen,2019,Oliver House,108,3.48
```
​
naas.webhook.respond_csv(csv_text)
File
Send big file not embed in the notebook :
naas.webhook.respond_file("test.csv")
If your file is not generated by a notebook, add it as Dependency, otherwise, it will be missing in the production folder.
Notebook
 Respond the notebook output with:
naas.webhook.respond_notebook()
Find 
You can find URL of a file pushed into the production:
Current file
url = naas.webhook.find()
Other files 
url = naas.webhook.find(path="path/to/my/super/notebook.ipynb")
List 
You can list all version of a file pushed into the production:
Current file
naas.webhook.list()
Other files 
naas.webhook.list(path="path/to/my/super/notebook.ipynb")
Get 
You can get a version of a file pushed into the production:
Get the last one
naas.webhook.get()
With a file path
naas.webhook.get(path="path/to/my/super/notebook.ipynb")
With history id
naas.webhook.get(histo="20201008101221879662")
Combined
naas.webhook.get(path="path/to/my/super/notebook.ipynb", histo="20201008101221879662")
Clear
You can clear the previous version of a file pushed into the production:
One
naas.webhook.clear(histo="20201008101221879662")
Other Notebook
naas.webhook.clear(path="path/to/my/super/notebook.ipynb", histo="20201008101221879662")
All
naas.webhook.clear()
All for filepath
naas.webhook.clear(path="path/to/my/super/notebook.ipynb")
Get output
You can get the output of the production file:
Get the last one
naas.webhook.get_output()
With a file path
naas.webhook.get_output(path="path/to/my/super/notebook.ipynb")
Clear output
You can clear the previous output of a file pushed into the production:
One
naas.webhook.clear_output()
Other Notebook
naas.webhook.clear_output(path="path/to/my/super/notebook.ipynb")
Delete
You can remove any scheduler capability like that, it takes optionally a path. 
Current
naas.webhook.delete()
Other file
naas.webhook.delete(path="path/to/my/super/notebook.ipynb")
Debug
naas.webhook.delete(debug=True)
List APIs
You don't remember how many API notebooks you have?
Simple
naas.webhook.currents()
Raw result 
naas.webhook.currents(raw=True)
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⏰ Scheduler
🖼️ Asset
Last updated 5 months ago