Metrics

An InfluxDB/Grafana stack has been set up to be able to follow essential metrics for Open Food Facts team. The dashboards can be viewed at https://metrics.openfoodfacts.org.

This is different from monitoring

There is currently a single InfluxDB bucket (=similar to SQL database) off_metrics.

There are two measurements (=similar to SQL table): facets and insights.

insights

Save metrics about Robotoff product_insight PostgreSQL table. The export is performed daily at night time by Robotoff.

Columns:

• annotation: annotation status of the insight, either 0, -1, 1 or <nil>.
• automatic_processing: whether the insight will be (or has been) automatically processed, either "True" or "False".
• predictor: the predictor of the insight (=model or method that generated the insight)
• reserved_barcode: either "False" or "True", if True the product barcode is a reserved barcode, mostly used for variable weight products
• type: the insight type, see InsightType class in Robotoff codebase for a complete list.
• count: the number of insights with the previous characteristics.
• percent: the % of insights with the previous characteristics, over the total number of insights.

facets

Save metrics about Product Opener facets, using public facet API.

Current saved facets:

• ingredients-analysis
• data-quality
• ingredients
• states
• misc

Columns:

• country: the ISO 2-letter code of the country (ISO_3166-1 alpha-2), or "world" for metrics on the full database. Only a selected subset of country is available.
• facet: the name of the facet (`ingredients-analysis`, `data-quality`,...)
• tag_name: name of the tag
• tag_id: identifier of the tag (ex: `en:alcoholic-beverages-category-without-alcohol-value`), this is the field you will probably have to use
• products: number of products with the given tag
• percent: % of products with the given tag over the total number of product for the country