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Advanced use cases
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.
import naas
naas.set_remote_timezone("Europe/Lisbon")
import naas
naas.get_remote_timezone()
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
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
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 a notebook direct in production and get the result.
import naas
naas.run()
Show changelog
import naas
naas.changelog()
show feature request inside Jupyter
import naas
mode = "naas" # can be naas, naas_drivers, awesome_notebook
naas.feature_request(mode)
import naas
naas.is_production()
If you need to force update the job list by editing the file in your `.naas/jobs.json`
import naas
naas.reload_jobs()
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
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 )
Last modified 1yr ago