Integrate with NASA NLP API for tag discovery
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- Dominant language
- Python
- Stars
- 59
- Forks
- 28
- PR merge metrics
- No merged PRs in 30d
Description
I think I would end up plumbing the code in here: https://github.com/LLNL/scraper/blob/master/scraper/code_gov/models.py
Probably as a new method to pull out the fields needed for input (`self.name` and `self.description`) and run it through your API, then append the results (or set them on some other field) that come back to `self.tags`.
-- Requested by @RicardoAReyes
Contributor guide
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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 in scraper/code_gov/models.py and inspect how self.name, self.description, and self.tags are represented. Determine how the NASA NLP API expects the name and description and how its returned tags should be stored. Done means the model can send those fields to the API and append or assign the discovered tags to self.tags.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, backend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100