Metrics
Revision as of 12:14, 9 January 2023 by Raphael0202 (talk | contribs) (Created page with "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....")
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:
- time: timestamp of the datapoint.
- 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.