Library: nftl-ed-lms-tools
This is a tool for Ed LMS API handling.
Source documentation of api is available here
PyPI project page
Installation
pip install nftl-ed-lms-tools
Usage
from nftl_ed_lms_tools.client import EdClient
ed = EdClient(token='xoxp-...')
users = ed.get_users_api().get_users()
if users:
print('Yupi!')
Interface
Users
from nftl_ed_lms_tools.client import EdClient
ed = EdClient(token='xoxp-...')
users = ed.get_users_api().get_users()
if users:
print('Yupi!')
Available methods
get_users()
Get a list of users.
API reference
Args:
token: optional auth token that will overwrite EdApi token
Returns:
None if data is invalid or users info as :py:class:`typing.List`
when success
create_or_update_user()
Create or update a user.
API reference
Args:
user_data: user data to create or update
token: optional auth token that will overwrite EdApi token
Returns:
None if data is invalid or users info as :py:class:`typing.List`
when success
get_external_token()
Get users authentication token by externalId.
API reference
Args:
external_id: users external identifier
token: optional auth token that will overwrite EdApi token
Returns:
None if data is invalid or users info as :py:class:`typing.List`
when success
get_token()
Get users authentication token by user id.
API reference
Args:
user_id: users external identifier
token: optional auth token that will overwrite EdApi token
Returns:
None if data is invalid or users info as :py:class:`typing.List`
when success
User groups
from nftl_ed_lms_tools.client import EdClient
ed = EdClient(token='xoxp-...')
groups = ed.get_usersgroups_api().get()
if groups:
print('Yupi!')
Available methods
get()
Get a list of user groups.
API reference
Args:
token: optional auth token that will overwrite EdApi token
Returns:
None if data is invalid or user groups info as
:py:class:`typing.List` when success
create_or_update_group()
Create or update a user group.
API reference
Args:
group_data: group data to create or update
token: optional auth token that will overwrite EdApi token
Returns:
None if data is invalid or group info as :py:class:`typing.Dict`
when success
Deployment how to
Available here