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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Unreleased

Changed

  • Moved daily indicator calculation to project core for reuse across plugins as mixins.

0.5.0 - 2024-07-16

Changed

  • [xi] Make timeout of requests to Moodle configurable
  • [xi] Change default timeout of requests to Moodle from 5s to 60s

0.4.0 - 2024-07-16

Changed

  • Upgrade django-lti-toolbox to 2.0.0 to be compatible with Moodle instances under a subpath

0.3.2 - 2024-07-03

Fixed

  • Fix LTI roles model to handle additional roles from Moodle LTI launch requests

0.3.1 - 2024-06-26

Added

  • Add development view for lti select page

0.3.0 - 2024-06-05

Added

  • Add dedicated views depending on LTI roles
  • Add a warren xi index all CLI command

Changed

  • Remove restricted access to instructors and administrators

Security

  • Pass course_id, user_id and roles through JWT token instead of app context data

0.2.0 - 2024-05-21

Added

  • Send LTI course id to the frontend
  • Add a warren migration check CLI command

Changed

  • Restrict dashboards access to instructors and administrators
  • Change cache key to indicator attributes instead of LRS query parameters

Fixed

  • Fix Breadcrumb trail order to be organization > course > session

0.1.0 - 2024-03-04

Added

  • Implement base view filters: date/times
  • Implement base plugin architecture
  • Bootstrap base backend boilerplate
  • Implement video views endpoint
  • Bootstrap base frontend boilerplate using turborepo
  • Run ralph in the docker compose
  • Add the LRS backend
  • Switch the video view plugin from an elasticsearch to a LRS backend
  • Remove the elasticsearch backend
  • Add the LTI django application
  • Rename the API directory to a more descriptive name.
  • Add a select and date range picker to the web dashboard.
  • Implement video downloads endpoint
  • Rename video_uuid to follow xAPI semantic
  • Use concise names in indicator and models
  • Refactor the LRS client to be asynchronous
  • Fix count of 0 in all video endpoints
  • Require Python minimum version of 3.9
  • Encapsulate statements pre-processing in a Mixin class
  • Factorize Video indicators