Metrics: Difference between revisions
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Columns: | Columns: | ||
* annotation: annotation status of the insight, either 0, -1, 1 or <nil>. | * 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". | * automatic_processing: whether the insight will be (or has been) automatically processed, either "True" or "False". | ||
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* count: the number of insights with the previous characteristics. | * count: the number of insights with the previous characteristics. | ||
* percent: the % of insights with the previous characteristics, over the total number of insights. | * 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 | |||
Revision as of 12:24, 9 January 2023
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