Nutrition Beta: Animal Protein
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 51/100
Research direction
Start by reading the nutrition beta’s food model and the code that determines whether a food counts toward animal protein; the issue does not name files or tests. Check how user-added foods are stored and edited, then determine whether manual protein-category tags fit the offline data flow. Done means users can tag foods as animal protein, plant protein, or mixed, and those tags affect the relevant nutrition totals.
Written by the indexing model from the issue text.
Description
How are you determining which foods count toward animal protein—a fixed list or each food’s data? My non-native egg whites aren’t counting (though I'm certain that's by design). So I don't actually want to flag it as a bug. Though it does raise a question... I’m not sure how automatic detection and labeling of a self added item would work offline with your setup, but could we manually tag foods as animal protein, plant protein, mixed, etc.?
I know Nutrition is currently in beta but I actually really currently like how it's handled in Gymmane.
- Dominant language
- Dart
- Stars
- 844
- Forks
- 98
- Avg merge
- 3d 22h
- Merged PRs (30d)
- 6
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the 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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