Slack channel

The bots are written in Perl, but it's relatively independent of the Product Opener code base, similar scripts could be written in pretty much any language. The bot uses both the mongodb database and the perl binary files that stores the product data, but you could just use the mongodb data only, it's the same.

Checkbot

Checkbot is a little bot that will check Open Food Facts for obvious errors and report them on Slack, in the #bots channel.

Code

Code on bitbucket

Current checks

It checks if one of the nutrients has a value higher than 105g for 100g / 100ml.
It checks if sugar+starch > carbohydrates etc.
We'll be able to add rules like: sum of nutrients per 100g > 105g,

Ideas

on pourrait faire une version de checkbot qui ping sur Slack les personnes qui ont ajouté les produits :wink: (ou leur envoyer un mail d'ailleurs)
What about a label we could add on the products that have a verified erroneous label like the ajolix-chili above? We could tag them "error on label" and have checkbot skip them. What would you think of that @stephane?

incorrect-nutrition-facts-on-label

Infobot

Infobot user profile Infobot will add some information on requests on many products

Fixbot

Fixbot user profile Fixbot removed bogus countries that appeared at some point in the products, due to a Product Opener bug Product http://world.openfoodfacts.org/product/8414606446629 (miel-quot-esencia-andalusi-quot / esencia-andalusi) : removing bogus countries, replacing with Spain

Scanbot

Scanbot user profile Scanbot will look for the IP of scanned products, and will add the matching countries in the country field. Runs on demand. Not really reliable because of the IP system.

UPCBot

UPCbot user profile UPCBot was used to normalize UPC codes. Since we now normalize them in Product Opener, it should not be used anymore.