Decide a schema for AI-extracted episode resources from datatalksclub.github.io
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 15/100
Research direction
This is a design decision, not a code task: first compare the resources: shape in the upstream datatalksclub.github.io episodes (name/type/url/context) with the show-note shape in DataTalksClub/content (title/url). Then find the website parser that rejects other shapes and the legacy converter that would overwrite the new lists. Done means a recorded choice (new field, extended schema, merge, or drop) agreed with maintainers.
Written by the indexing model from the issue text.
Description
Upstream datatalksclub.github.io (3a444397) added AI-extracted resources: lists to ~203 podcast episodes, shaped name/type/url/context (sometimes no url). DataTalksClub/content already uses resources: for show-note links shaped title/url, and the website parser rejects any other shape; the legacy converter would overwrite the new lists with show-note links. These were left out of the Sep–Oct content port. Needs a decision: adopt (new field or extended schema plus parser change), merge, or drop.
- Dominant language
- Python
- Stars
- 0
- Forks
- 0
- Avg merge
- 32m
- Merged PRs (30d)
- 8
Getting set up
- Ships a Dockerfile or Docker Compose file
- No pull request template
- No contributing 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.
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