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PyLTI1p3-Belovolov-1.12.2
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LTI 1.3 Advantage Tool implementation in Python with extra logging to debug an issue in prod
| ویژگی | مقدار |
|---|---|
| سیستم عامل | OS Independent |
| نام فایل | PyLTI1p3-Belovolov-1.12.2 |
| نام | PyLTI1p3-Belovolov |
| نسخه کتابخانه | 1.12.2 |
| نگهدارنده | ['Roman Belovolov'] |
| ایمیل نگهدارنده | [] |
| نویسنده | Roman Belovolov |
| ایمیل نویسنده | belovolovri@gmail.com |
| آدرس صفحه اصلی | https://github.com/Belovolov/pylti1.3 |
| آدرس اینترنتی | https://pypi.org/project/PyLTI1p3-Belovolov/ |
| مجوز | MIT |
LTI 1.3 Advantage Tool implementation in Python
===============================================
.. image:: https://img.shields.io/pypi/v/PyLTI1p3
:scale: 100%
:target: https://pypi.python.org/pypi/PyLTI1p3
:alt: PyPI
.. image:: https://img.shields.io/pypi/pyversions/PyLTI1p3
:scale: 100%
:target: https://www.python.org/
:alt: Python
.. image:: https://travis-ci.com/dmitry-viskov/pylti1.3.svg?branch=master
:scale: 100%
:target: https://travis-ci.com/dmitry-viskov/pylti1.3
:alt: Build Status
.. image:: https://img.shields.io/github/license/dmitry-viskov/pylti1.3
:scale: 100%
:target: https://raw.githubusercontent.com/dmitry-viskov/pylti1.3/master/LICENSE
:alt: MIT
This project is a Python implementation of the similar `PHP tool`_.
This library contains adapters for use with the Django and Flask web frameworks. However, there are no difficulties with adapting it to other frameworks; you just need to re-implement the ``OIDCLogin`` and ``MessageLaunch`` classes as it is already done in existing adapters.
.. _PHP tool: https://github.com/IMSGlobal/lti-1-3-php-library
Usage Examples
=================
Django: https://github.com/dmitry-viskov/pylti1.3-django-example
Flask: https://github.com/dmitry-viskov/pylti1.3-flask-example
Configuration
=============
To configure your own tool, you may use built-in adapters:
.. code-block:: python
from pylti1p3.tool_config import ToolConfJsonFile
tool_conf = ToolConfJsonFile('path/to/json')
from pylti1p3.tool_config import ToolConfDict
settings = {
"<issuer_1>": { }, # one issuer ~ one client-id (outdated and not recommended)
"<issuer_2>": [{ }, { }] # one issuer ~ many client-ids (recommended method)
}
private_key = '...'
public_key = '...'
tool_conf = ToolConfDict(settings)
client_id = '...' # must be set if implementing the "one issuer ~ many client-ids" concept
tool_conf.set_private_key(iss, private_key, client_id=client_id)
tool_conf.set_public_key(iss, public_key, client_id=client_id)
or create your own implementation. The ``pylti1p3.tool_config.ToolConfAbstract`` interface must be fully implemented for this to work.
The concept of ``one issuer ~ many client-ids`` is the recommended way to organize configs and may be useful in the case of integration with Canvas (https://canvas.instructure.com)
or other Cloud LMS-es where the platform doesn't change ``iss`` for each customer.
In the case of the Django Framework, you may use ``DjangoDbToolConf`` (see `Configuration using Django Admin UI`_ section below).
Example of a JSON config:
.. code-block:: javascript
{
"iss1": [{
"default": true,
"client_id": "client_id1",
"auth_login_url": "auth_login_url1",
"auth_token_url": "auth_token_url1",
"auth_audience": null,
"key_set_url": "key_set_url1",
"key_set": null,
"private_key_file": "private.key",
"public_key_file": "public.key",
"deployment_ids": ["deployment_id1", "deployment_id2"]
}, {
"default": false,
"client_id": "client_id2",
"auth_login_url": "auth_login_url2",
"auth_token_url": "auth_token_url2",
"auth_audience": null,
"key_set_url": "key_set_url2",
"key_set": null,
"private_key_file": "private.key",
"public_key_file": "public.key",
"deployment_ids": ["deployment_id3", "deployment_id4"]
}],
"iss2": [ ],
"iss3": { }
}
| ``default (bool)`` - this iss config will be used in case if client-id was not passed on the login step
| ``client_id`` - this is the id received in the 'aud' during a launch
| ``auth_login_url`` - the platform's OIDC login endpoint
| ``auth_token_url`` - the platform's service authorization endpoint
| ``auth_audience`` - the platform's OAuth2 Audience (aud). Is used to get platform's access token. Usually the same as "auth_token_url" and could be skipped but in the common case could be a different url
| ``key_set_url`` - the platform's JWKS endpoint
| ``key_set`` - in case if platform's JWKS endpoint somehow unavailable you may paste JWKS here
| ``private_key_file`` - relative path to the tool's private key
| ``public_key_file`` - relative path to the tool's public key
| ``deployment_ids (list)`` - The deployment_id passed by the platform during launch
Usage with Django
=================
.. _Configuration:
Configuration using Django Admin UI
-----------------------------------
.. code-block:: python
# settings.py
INSTALLED_APPS = [
'django.contrib.admin',
...
'pylti1p3.contrib.django.lti1p3_tool_config'
]
# urls.py
urlpatterns = [
...
path('admin/', admin.site.urls),
...
]
# views.py
from pylti1p3.contrib.django import DjangoDbToolConf
tool_conf = DjangoDbToolConf()
Open Id Connect Login Request
-----------------------------
LTI 1.3 uses a modified version of the OpenId Connect third party initiate login flow. This means that to do an LTI 1.3 launch, you must first receive a login initialization request and return to the platform.
To handle this request, you must first create a new ``OIDCLogin`` (or ``DjangoOIDCLogin``) object:
.. code-block:: python
from pylti1p3.contrib.django import DjangoOIDCLogin
oidc_login = DjangoOIDCLogin(request, tool_conf)
You must now configure your login request with a return url (this must be preconfigured and white-listed in the tool).
If a redirect url is not given or the registration does not exist, a ``pylti1p3.exception.OIDC_Exception`` will be thrown.
.. code-block:: python
try:
oidc_login.redirect(get_launch_url(request))
except OIDC_Exception:
# display error page
log.error('Error doing OIDC login')
With the redirect, we can now redirect the user back to the tool.
There are three ways to do this:
This will add a HTTP 302 location header:
.. code-block:: python
oidc_login.redirect(get_launch_url(request))
This will display some JavaScript to do the redirect instead of using a HTTP 302:
.. code-block:: python
oidc_login.redirect(get_launch_url(request), js_redirect=True)
You can also get the url you need to redirect to, with all of the necessary query parameters (if you would prefer to redirect in a custom way):
.. code-block:: python
redirect_obj = oidc_login.get_redirect_object()
redirect_url = redirect_obj.get_redirect_url()
The redirect is done and we can move on to the launch.
LTI Message Launches
--------------------
Now that we have done the OIDC log, the platform will launch back to the tool. To handle this request, we first need to create a new ``MessageLaunch`` (or ``DjangoMessageLaunch``) object.
.. code-block:: python
message_launch = DjangoMessageLaunch(request, tool_conf)
Once we have the message launch, we can validate it. Validation is transparent - it's done once before you try to access the message body:
.. code-block:: python
try:
launch_data = message_launch.get_launch_data()
except LtiException:
log.error('Launch validation failed')
You may do it more explicitly:
.. code-block:: python
try:
launch_data = message_launch.set_auto_validation(enable=False).validate()
except LtiException:
log.error('Launch validation failed')
Now that we know the launch is valid, we can find out more information about the launch.
To check if we have a resource launch or a deep linking launch:
.. code-block:: python
if message_launch.is_resource_launch():
# Resource Launch!
elif message_launch.is_deep_link_launch():
# Deep Linking Launch!
else:
# Unknown launch type
To check which services we have access to:
.. code-block:: python
if message_launch.has_ags():
# Has Assignments and Grades Service
if message_launch.has_nrps():
# Has Names and Roles Service
Usage with Flask
================
Open Id Connect Login Request
-----------------------------
This is a draft of an API endpoint. Wrap it in a library of your choice.
Create a ``FlaskRequest`` adapter. Then create an instance of ``FlaskOIDCLogin``. The ``redirect`` method will return an instance of ``werkzeug.wrappers.Response`` that points to the LTI platform if login was successful. Make sure to handle exceptions.
.. code-block:: python
from flask import request, session
from pylti1p3.flask_adapter import (FlaskRequest, FlaskOIDCLogin)
def login(request_params_dict):
tool_conf = ... # See Configuration chapter above
# FlaskRequest by default use flask.request and flask.session
# so in this case you may define request object without any arguments:
request = FlaskRequest()
# in case of using different request object (for example webargs or something like this)
# you may pass your own values:
request = FlaskRequest(
cookies=request.cookies,
session=session,
request_data=request_params_dict,
request_is_secure=request.is_secure
)
oidc_login = FlaskOIDCLogin(
request=request,
tool_config=tool_conf,
session_service=FlaskSessionService(request),
cookie_service=FlaskCookieService(request)
)
return oidc_login.redirect(request.get_param('target_link_uri'))
LTI Message Launches
--------------------
This is a draft of an API endpoint. Wrap it in a library of your choice.
Create a ``FlaskRequest`` adapter. Then create an instance of ``FlaskMessageLaunch``. This lets you access data from the LTI launch message if the launch was successful. Make sure to handle exceptions.
.. code-block:: python
from flask import request, session
from werkzeug.utils import redirect
from pylti1p3.flask_adapter import (FlaskRequest, FlaskMessageLaunch)
def launch(request_params_dict):
tool_conf = ... # See Configuration chapter above
request = FlaskRequest()
# or
request = FlaskRequest(
cookies=...,
session=...,
request_data=...,
request_is_secure=...
)
message_launch = FlaskMessageLaunch(
request=request,
tool_config=tool_conf
)
email = message_launch.get_launch_data().get('email')
# Place your user creation/update/login logic
# and redirect to tool content here
Accessing Cached Launch Requests
================================
It is likely that you will want to refer back to a launch later during subsequent requests. This is done using the launch id to identify a cached request. The launch id can be found using:
.. code-block:: python
launch_id = message_launch.get_launch_id()
Once you have the launch id, you can link it to your session and pass it along as a query parameter.
Retrieving a launch using the launch id can be done using:
.. code-block:: python
message_launch = DjangoMessageLaunch.from_cache(launch_id, request, tool_conf)
Once retrieved, you can call any of the methods on the launch object as normal, e.g.
.. code-block:: python
if message_launch.has_ags():
# Has Assignments and Grades Service
Deep Linking Responses
======================
If you receive a deep linking launch, it is very likely that you are going to want to respond to the deep linking request with resources for the platform.
To create a deep link response, you will need to get the deep link for the current launch:
.. code-block:: python
deep_link = message_launch.get_deep_link()
We now need to create ``pylti1p3.deep_link_resource.DeepLinkResource`` to return:
.. code-block:: python
resource = DeepLinkResource()
resource.set_url("https://my.tool/launch")\
.set_custom_params({'my_param': my_param})\
.set_title('My Resource')
Everything is now set to return the resource to the platform. There are two methods of doing this.
The following method will output the html for an aut-posting form for you.
.. code-block:: python
deep_link.output_response_form([resource1, resource2])
Alternatively you can just request the signed JWT that will need posting back to the platform by calling.
.. code-block:: python
deep_link.get_response_jwt([resource1, resource2])
Names and Roles Service
=======================
Before using names and roles, you should check that you have access to it:
.. code-block:: python
if not message_launch.has_nrps():
raise Exception("Don't have names and roles!")
Once we know we can access it, we can get an instance of the service from the launch.
.. code-block:: python
nrps = message_launch.get_nrps()
From the service we can get a list of all members by calling:
.. code-block:: python
members = nrps.get_members()
To get some specific page with the members:
.. code-block:: python
members, next_page_url = nrps.get_members_page(page_url)
Assignments and Grades Service
==============================
Before using assignments and grades, you should check that you have access to it:
.. code-block:: python
if not launch.has_ags():
raise Exception("Don't have assignments and grades!")
Once we know we can access it, we can get an instance of the service from the launch:
.. code-block:: python
ags = launch.get_ags()
To pass a grade back to the platform, you will need to create a ``pylti1p3.grade.Grade`` object and populate it with the necessary information:
.. code-block:: python
gr = Grade()
gr.set_score_given(earned_score)\
.set_score_maximum(100)\
.set_timestamp(datetime.datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S+0000'))\
.set_activity_progress('Completed')\
.set_grading_progress('FullyGraded')\
.set_user_id(external_user_id)
To send the grade to the platform we can call:
.. code-block:: python
ags.put_grade(gr)
This will put the grade into the default provided lineitem. If no default lineitem exists it will create one.
If you want to send multiple types of grade back, that can be done by specifying a ``pylti1p3.lineitem.LineItem``:
.. code-block:: python
line_item = LineItem()
line_item.set_tag('grade')\
.set_score_maximum(100)\
.set_label('Grade')
ags.put_grade(gr, line_item)
If a lineitem with the same ``tag`` exists, that lineitem will be used, otherwise a new lineitem will be created.
Additional methods:
.. code-block:: python
# Get one page with line items
items_lst, next_page = ags.get_lineitems_page()
# Get list of all available line items
items_lst = ags.get_lineitems()
# Find line item by ID
item = ags.find_lineitem_by_id(ln_id)
# Find line item by tag
item = ags.find_lineitem_by_tag(ln_tag)
# Return all grades for the passed line item (across all users enrolled in the line item's context)
grades = ags.get_grades(ln)
Data privacy launch
===================
Data Privacy Launch is a new optional LTI 1.3 message type that allows LTI-enabled tools to assist administrative
users in managing and executing requests related to data privacy.
.. code-block:: python
data_privacy_launch = message_launch.is_data_privacy_launch()
if data_privacy_launch:
user = message_launch.get_data_privacy_launch_user()
Submission review
=================
Submission review provides a standard way for an instructor or student to launch back from a platform's gradebook
to the tool where the interaction took place to display the learner's submission for a particular line item.
.. code-block:: python
if launch.is_submission_review_launch()
user = launch.get_submission_review_user()
ags = launch.get_ags()
lineitem = ags.get_lineitem()
submission_review = lineitem.get_submission_review()
Course Group Service
====================
Communicates to the tool the groups available in the course and their respective enrollment.
.. code-block:: python
if launch.has_cgs()
cgs = launch.get_cgs()
# Get all available groups
groups = cgs.get_groups()
# Get groups for some user
user_id = '0ae836b9-7fc9-4060-006f-27b2066ac545'
groups = cgs.get_groups(user_id)
# Get all sets
if cgs.has_sets():
sets = cgs.get_sets()
sets_with_groups = cgs.get_sets(include_groups=True)
Check user's role after LTI launch
==================================
.. code-block:: python
user_is_staff = message_launch.check_staff_access()
user_is_student = message_launch.check_student_access())
user_is_teacher = message_launch.check_teacher_access()
user_is_teaching_assistant = message_launch.check_teaching_assistant_access()
user_is_designer = message_launch.check_designer_access()
user_is_observer = message_launch.check_observer_access()
user_is_transient = message_launch.check_transient()
Cookies issues in the iframes
=============================
Some browsers may deny requests to save cookies in the iframes. For example, `Google Chrome (from ver.80 onwards) denies requests to save`_ all cookies in
the iframes except cookies with the flags ``Secure`` (i.e HTTPS usage) and ``SameSite=None``. `Safari denies requests to save`_
all third-party cookies by default. The ``pylti1p3`` library contains workarounds for such behaviours:
.. _Google Chrome (from ver.80 onwards) denies requests to save: https://blog.heroku.com/chrome-changes-samesite-cookie
.. _Safari denies requests to save: https://webkit.org/blog/10218/full-third-party-cookie-blocking-and-more/
.. code-block:: python
def login():
...
return oidc_login\
.enable_check_cookies()\
.redirect(target_link_uri)
After this, the special JS code will try to write and then read test cookie instead of redirect. The user will see a
`special page`_ that will ask them to open the current URL in the new window if cookies are unavailable. If
cookies are allowed, the user will be transparently redirected to the next page. All texts are configurable with passing arguments:
.. _special page: https://raw.githubusercontent.com/dmitry-viskov/repos-assets/master/pylti1p3/examples/cookies-check/001.png
.. code-block:: python
oidc_login.enable_check_cookies(main_msg, click_msg, loading_msg)
You may also have troubles with the default framework sessions because the ``pylti1p3`` library can't control your framework
settings connected with the session ID cookie. Without necessary settings, the user's session could be unavailable in the
case of iframe usage. To avoid this, it is recommended to change the default session adapter to the new cache
adapter (with a memcache/redis backend) and as a consequence, allow the library to set its own LTI 1.3 session id cookie
that will be set with all necessary params like ``Secure`` and ``SameSite=None``.
Django cache data storage
-------------------------
.. code-block:: python
from pylti1p3.contrib.django import DjangoCacheDataStorage
def login(request):
...
launch_data_storage = DjangoCacheDataStorage(cache_name='default')
oidc_login = DjangoOIDCLogin(request, tool_conf, launch_data_storage=launch_data_storage)
def launch(request):
...
launch_data_storage = DjangoCacheDataStorage(cache_name='default')
message_launch = DjangoMessageLaunch(request, tool_conf, launch_data_storage=launch_data_storage)
def restore_launch(request):
...
launch_data_storage = get_launch_data_storage(cache_name='default')
message_launch = DjangoMessageLaunch.from_cache(launch_id, request, tool_conf,
launch_data_storage=launch_data_storage)
Flask cache data storage
-------------------------
.. code-block:: python
from flask_caching import Cache
from pylti1p3.contrib.flask import FlaskCacheDataStorage
cache = Cache(app)
def login():
...
launch_data_storage = FlaskCacheDataStorage(cache)
oidc_login = DjangoOIDCLogin(request, tool_conf, launch_data_storage=launch_data_storage)
def launch():
...
launch_data_storage = FlaskCacheDataStorage(cache)
message_launch = DjangoMessageLaunch(request, tool_conf, launch_data_storage=launch_data_storage)
def restore_launch():
...
launch_data_storage = FlaskCacheDataStorage(cache)
message_launch = DjangoMessageLaunch.from_cache(launch_id, request, tool_conf,
launch_data_storage=launch_data_storage)
Cache for Public Key
====================
The library will try to fetch the platform's public key every time on the message launch step. This public key may be stored in cache
(memcache/redis) to speed-up the launch process:
.. code-block:: python
# Django cache storage:
launch_data_storage = DjangoCacheDataStorage()
# Flask cache storage:
launch_data_storage = FlaskCacheDataStorage(cache)
message_launch.set_public_key_caching(launch_data_storage, cache_lifetime=7200)
API to get JWKS
===============
You may generate JWKS from a Tool Config object:
.. code-block:: python
tool_conf.set_public_key(iss, public_key, client_id=client_id)
jwks_dict = tool_conf.get_jwks() # {"keys": [{ ... }]}
# or you may specify iss and client_id:
jwks_dict = tool_conf.get_jwks(iss, client_id) # {"keys": [{ ... }]}
Do not forget to set a public key as without it, JWKS cannot be generated.
You may also generate JWK for any public key using the construction below:
.. code-block:: python
from pylti1p3.registration import Registration
jwk_dict = Registration.get_jwk(public_key)
# {"e": ..., "kid": ..., "kty": ..., "n": ..., "alg": ..., "use": ...}
نحوه نصب
نصب پکیج whl PyLTI1p3-Belovolov-1.12.2:
pip install PyLTI1p3-Belovolov-1.12.2.whl
نصب پکیج tar.gz PyLTI1p3-Belovolov-1.12.2:
pip install PyLTI1p3-Belovolov-1.12.2.tar.gz