Advanced use cases
import naasnaas.set_remote_timezone("Europe/Lisbon")
import naasnaas.get_remote_timezone()
Create a download link to Naas from any URL, it can be in GitHub, or anywhere!
import naasurl = "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 naasnaas.run()
Show changelog
import naasnaas.changelog()
show feature request inside Jupyter
import naasmode = "naas" # can be naas, naas_drivers, awesome_notebooknaas.feature_request(mode)
import naasnaas.is_production()
If you need to force update the job list by editing the file in your `.naas/jobs.json`
import naasnaas.reload_jobs()
This represents the Naas env vars, you can get all to make your script work `naas.n_env`
api_portcurrentversionremote_modeapinotif_apicallback_apiproxy_apihub_apiany_user_urluser_urlnaas_folderserver_rootpath_naas_foldershell_userremote_apitokenusertzsentry_dsnschedulerscheduler_intervalscheduler_job_maxscheduler_job_namescheduler_timeout
get data in the production of the current running notebook.
For now current gives you this :
import naasprint(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 updated 4 weeks ago