Hacktoberfest 2026:维护者为十月标记出来的 issue,仍然开放、适合新手。 浏览 Hacktoberfest issue

[QTI] Older Kolibri can't render exercises of only legacy items published from unstable

未关闭
#6,294 0 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看

维护者通常 1 天内回复

还没有人认领这个 Issue。

评估

难度
3/5
预计耗时
半天
新手友好度
35/100
Issue 类型
缺陷
描述清晰度
描述清楚
活跃度
活跃
技术栈
python
领域
backend

调研方向

The issue banner states it is not open for contribution. If you still study it, start at contentcuration/contentcuration/utils/publish.py: how exercises are sent to QTIExerciseGenerator vs PerseusExerciseGenerator and _node_is_perseus_derivable. Align unstable with the v2026.09.24 rule so legacy-only items get both qti and exercise files, and free_response stays QTI-only. Cover both cases with publish tests.

由索引模型根据 Issue 内容生成。

描述

bug DEV: backend

❌ This issue is not open for contribution. Visit Contributing guidelines to learn about the contributing process and how to find suitable issues.

Overview

On unstable, publishing an exercise whose questions are all legacy items produces a QTI package and no Perseus archive. Older Kolibri renders only Perseus, so it cannot render these exercises. Release v2026.09.24 publishes the same exercises as a Perseus archive.

Complexity: Low
Target branch: unstable

Context
The Change
  • Legacy-only exercises should get the Perseus archive #6001 gives exercises of native QTI items, under the same rule: QTI only when any item has no Perseus equivalent.
How to Get There
  • Publish a channel with an exercise holding only multiple_selection and input_question items.
  • Check the exercise node's files: there is a qti-preset file and no exercise-preset file.
Acceptance Criteria
  • Publishing an exercise whose items are all single_selection, multiple_selection, true_false or input_question produces both a qti and an exercise file.
  • Publishing an exercise with a free_response item produces a qti file only.
  • Tests cover both cases.

AI usage

Claude Code found this while reviewing the #6211 branch, reproduced it with a scratch publish test on unstable at f4360ff91, and drafted this issue.

主要语言
Python
星标
191
派生
308
平均合并
2 天 17 小时
30 天内合并 PR
64

环境准备

  • 提供 Dockerfile 或 Docker Compose 文件
  • 没有 Pull Request 模板
  • 阅读贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

learningequality/studio 的其他 Issue

查看 learningequality/studio 的全部 Issue

相似的 Issue

更多 Python Issue

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。