Advanced use cases

Timezone
Set timezone
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import naas
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naas.set_remote_timezone("Europe/Lisbon")
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Get timezone
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import naas
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naas.get_remote_timezone()
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Download URL
Create a download link to Naas from any URL, it can be in GitHub, or anywhere!
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import naas
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url = "https://github.com/jupyter-naas/awesome-notebooks/blob/master/Airtable/Airtable_delete_data.ipynb"
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dl_url = naas.get_download_url(url)
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Result :
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https://app.naas.ai/user-redirect/naas/downloader?url=YOURURL
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Options: mode_api 
with &mode_api=yes that create the file in the user but don't open it. Useful for admin 
Options: name 
with ?name=toto that create a file in the user with the name provided `toto`
 if no URL provided it create an empty file. 
Run
Run a notebook direct in production and get the result.
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import naas
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naas.run()
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Changelog (deprecated)
Show changelog 
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import naas
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naas.changelog()
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Feature request (deprecated)
show feature request inside Jupyter
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import naas
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mode = "naas" # can be naas, naas_drivers, awesome_notebook
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naas.feature_request(mode)
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Check if you are in production
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import naas
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​
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naas.is_production()
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Reload jobs
If you need to force update the job list by editing the file in your `.naas/jobs.json`
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import naas
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​
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naas.reload_jobs()
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N_ENV
This represents the Naas env vars, you can get all to make your script work `naas.n_env`
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api_port
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current
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version
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remote_mode
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api
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notif_api
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callback_api
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proxy_api
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hub_api
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any_user_url
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user_url
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naas_folder
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server_root
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path_naas_folder
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shell_user
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remote_api
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token
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user
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tz
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sentry_dsn
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scheduler
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scheduler_interval
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scheduler_job_max
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scheduler_job_name
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scheduler_timeout
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Current
get data in the production of the current running notebook.
For now current gives you this :
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import naas
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print(naas.n_env.current)
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# This will be empty in dev = in notebook run by you
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# and with vars when run by naas runner ( scheduler or webhook )
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Automatic deployment

Best Practices

Last modified 3mo ago

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Contents

Changelog (deprecated)

Feature request (deprecated)

Check if you are in production

Reload jobs

N_ENV

Current