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advanced-usecases.md

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Advanced use cases

Timezone

If you are located in other countries than France, use those formulas to set up the time zone according to your country's ISO code.

Set timezone

import naas
naas.set_remote_timezone("Europe/Lisbon")

Get timezone

import naas
naas.get_remote_timezone()

Whitelist Naas

If you want to enable Naas to access your infrastructure. Here are the IPs to whitelist:

  • 15.236.83.113
  • 15.236.82.50
  • 15.236.53.238

Download URL

Create a download link to Naas from any URL, it can be in GitHub, or anywhere!

import naas
url = "https://github.com/jupyter-naas/awesome-notebooks/blob/master/Airtable/Airtable_delete_data.ipynb"
dl_url = naas.get_download_url(url)

Result :

https://app.naas.ai/user-redirect/naas/downloader?url=YOURURL

{% hint style="info" %} Options: mode_api

with &mode_api=yes that create the file in the user but don't open it. Useful for admin {% endhint %}

{% hint style="info" %} 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. {% endhint %}

Run

Run a notebook direct in production and get the result.

import naas
naas.run()

Changelog (deprecated)

Show changelog 

import naas
naas.changelog()

Feature request (deprecated)

show feature request inside Jupyter

import naas
mode = "naas" # can be naas, naas_drivers, awesome_notebook
naas.feature_request(mode)

Check if you are in production

import naas

naas.is_production()

Reload jobs

If you need to force update the job list by editing the file in your `.naas/jobs.json`

import naas

naas.reload_jobs()

N_ENV

This represents the Naas env vars, you can get all to make your script work `naas.n_env`

api_port
current
version
remote_mode
api
notif_api
callback_api
proxy_api
hub_api
any_user_url
user_url
naas_folder
server_root
path_naas_folder
shell_user
remote_api
token
user
tz
sentry_dsn
scheduler
scheduler_interval
scheduler_job_max
scheduler_job_name
scheduler_timeout

Current

get data in the production of the current running notebook.

For now current gives you this :

import naas
print(naas.n_env.current)
# This will be empty in dev = in notebook run by you
# and with vars when run by naas runner ( scheduler or webhook )