The idea is to create a Swift SDK (possibly leveraging our OpenAPI support https://openfoodfacts.github.io/openfoodfacts-server/api/, or our legacy iOS app https://github.com/openfoodfacts/openfoodfacts-ios)
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🎯 What can I work on ? (openfoodfacts-swift) #1
### Features to port/implement
- [ ] Multilingual (180 languages are supported)
- [ ] Create users
- [ ] Check if users exist
### Features to port/implement READ
- [ ] Product: you can retrieve information about products
- [ ] Product images (get product image by field, size and language, current fields are: Front, Ingredients, Nutrition, Packaging)
- [ ] Additives, Allergens, Environment impact, Ingredient analysis, Nutrient levels, Nutrition facts (incl. micro-nutrients)
- [ ] Language dependant fields (like ingredients, product name, packaging text)
- [ ] Eco-Score, Nutri-Score, NOVA groups
- [ ] Translated, high-level and customizable product information (Attributes)
- [ ] Product completion status
- [ ] Folksonomy Engine (custom properties for products)
- [ ] Open Food Facts Events (Gamification)
### Features to port/implement PERSONALIZATION
- [ ] Recommended Daily Intakes
- [ ] Translated, high-level and customizable product information (Attributes)
- [ ] Autocompleting for the user inputs, by giving suggestions for (Labels, categories, ingredients, additives, traces ...)
### Features to port/implement SEARCH
- [ ] search products by tags
- [ ] search products with / without additives
- [ ] search products with keywords
- [ ] Personalized search
- [ ] Search V2
### Features to port/implement Search V2 - Tag types
- [ ] tag:brands - possible values: infinite, json taxo but no autosuggest
- [ ] tag:categories - possible values: finite, json taxo + autosuggest + partial taxo API
- [ ] tag:packaging - display:packaging - packaging
- [ ] tag:labels - possible values: finite, json taxo + autosuggest + partial taxo API
- [ ] tag:origins - display:origins of ingredients - origins of ingredients
- [ ] tag:manufacturing_places - display:manufacturing or processing places - manufacturing or processing places
- [ ] tag:emb_codes - display:packager codes - packager codes
- [ ] tag:purchase_places - display:purchase places - purchase places
- [ ] tag:stores - display:stores - stores
- [ ] tag:countries - possible values: finite (190), json taxo + autosuggest + partial taxo API
- [ ] tag:ingredients -possible values: finite, json taxo + autosuggest + partial taxo API
- [ ] tag:additives - possible values: finite, json taxo + autosuggest + partial taxo API
- [ ] tag:allergens - possible values: finite, json taxo + autosuggest + partial taxo API
- [ ] tag:traces - possible values: finite, json taxo + autosuggest + partial taxo API
- [ ] tag:nutrition_grades possible values: finite (a,b,c,d,e) , json taxo + autosuggest + partial taxo API
- [ ] #539
- [ ] tag:languages - possible values: finite, json taxo + autosuggest + partial taxo API
- [ ] tag:creator - possible values: infinite - we can't really suggest anything (or we have to rely on the facet)
- [ ] tag:editors - possible values: infinite - we can't really suggest anything (or we have to rely on the facet)
- [ ] tag:states - possible values: finite, json taxo + autosuggest + partial taxo API
### Features to port/implement ML
- [ ] https://github.com/openfoodfacts/openfoodfacts-swift/issues/14
- [ ] Extract ingredients from ingredients image: User can extract the ingredients text if it is missing
### Roadmap
- [ ] List of new APIs to implement: https://github.com/openfoodfacts/api-documentation/issues
- [ ] New APIs: https://github.com/openfoodfacts/api-documentation/issues?q=is%3Aissue+is%3Aopen+label%3A%22new+api+to+document%22
- [ ] Existing APIs: https://github.com/openfoodfacts/api-documentation/
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