Open Food Facts API Version 2
Introduction
Version 1 of the Open Food Facts API has been developed organically since 2012, often according to specific needs (in particular the OFF app), and it has been modeled on the structure of the MongoDB database (which itself has evolved organically) and on the Web site (e.g. reusing or mimicking existing CGI forms).
As a result, version 1 of the API is not as standard / simple / easy / powerful / intuitive / documented etc. as it could be.
This page is to discuss the design of a better version 2 of the API.
Desired properties wishlist
What standards should the new API follow, what overally properties should it have etc.?
You can add what you want, and we can discuss it.
- A documentation that matches the implementation
- Non-breaking changes
- A direct mapping to the MongoDB format
- Consistent types for all fields - see https://github.com/openfoodfacts/openfoodfacts-server/issues/4389
- Consistent call parameters across all api's
- Call and result independence - no need to know the call to interpret the result.
- Multilingual support -
Related Issues
- https://github.com/openfoodfacts/openfoodfacts-server/issues/4389 - https://github.com/openfoodfacts/openfoodfacts-server/pull/4436
Generic requirements
These requirements are valid for all OFF-API's, whether read or write.
Multilingual support
Multilingual support is a confusing subject, as it in various places, and all can be different:
- The user-interface of the user (application or computer);
- The desired language of the user;
- The main product language;
- Other languages mentioned on the product;
As it is undesirable (to large) to present all possible languages, there must be a way to filter the output, by setting parameters:
- lc= could specify the language desired by the user. This could match his interface, the language he speaks, the language he wants to show to friends, etc. This should be independent of the actual product. The default is english. Any field that is translatable by OFF, will be translated. Otherwise the main language of the product is used. The output provided by OFF should make clear what language is provided.
Product read API
call
result json
field names
For the naming of the fields of the results json the following principles are used:
- Typing - the to expected type of the values is encoded in the field names, by a string at the end:
- _tags - expect a String array;
- _n - expect an Integer;
- _t - expect a time in seconds since ?, encoded as Integer;
- _f - expect a float;
- none - the default will b a String
platform specific naming issues
- Swift: it should be as easy as possible to decode a json with the standard Swift-libraries.
- no "-", which are not allowed in Swift variable names;
comments
- The json seems to have two user groups: OFF itself and end users (apps). Can the json be split in two section that correspond to these groups as well? Not sure whether this is a good approach.
- The json can be more structured, so that it is more readible for a viewer, but also from an parsing interpreting point of view. I.e. everything that corresponds to packaging goes together.
- Improved field-names, which clearly reflect the origin or processing of the data. This should reduce the number of questions around field s and their interpretation.
- version 1 of the api used a language code suffix (i.e. _en), to indicate the language used for the strings. Which language codes should be looked at, depended on the content of the json itself. This implied that the field names needed to be constructed, adding extra complexity to the json decoder. Another solution is to use a dictionary to encode these strings like { "languageCode" : "en", "string": "stringValue }.
Product write API
Images read API
Images write API
Robotoff read API
There is now a minimal documentation (link). The documentation needs some more explanation.
call
result json
The result json contains fields that seem more useful to the internal workings of Robotoff than the enduser. Can these be split/structured in the json as well?
Robotoff write API
This api allows to write reponses to insight questions provided by the Robotoff read API.