learningequality / learningequality/studio
Refactor the logic that produces recommendations into a utility function
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- Dominant language
- Python
- Stars
- 191
- Forks
- 307
- Avg merge
- 5d 6h
- Merged PRs (30d)
- 10
Description
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Overview
This is a follow-up task to refactor the logic that produces recommendations currently implemented on the search recommendation UI in Studio.
Description and outcomes
- We need to extract the logic that produces recommendations into a utility function that can be used for preloading, and also in other areas that need recommended content.
Acceptance Criteria
- The refactor doesn't introduce any regressions
Assumptions and Dependencies
- NA
Accessibility Requirements
- NA
Resources
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the recommendation logic linked in contentcuration/contentcuration/frontend/channelEdit/views/ImportFromChannels/SearchOrBrowseWindow.vue around lines 498-499, then read issue #4044 for context. Trace how the UI currently produces recommendations and where preloading or other recommendation consumers would need the utility. Done means the logic is reusable and existing behavior has no regressions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript
- Domain
- frontend
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100