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1,894 bytes added ,  17:58, 12 June 2020
Created page with "= Introduction = This is a brainstorm page, to find a good solution to monitor events in Open Food Facts. = What kind of events do we want to track = == Info events == Som..."
= Introduction =

This is a brainstorm page, to find a good solution to monitor events in Open Food Facts.

= What kind of events do we want to track =

== Info events ==

Something happened.

* User actions
** e.g. an user registered, a product was added or edited...
** could be useful to have recent changes filterable by facets
* *Processes: some process started, failed, or completed*
** -> this is the most pressing need, for which we don't have a good solution today
** Regular maintenance tasks (e.g. daily processing of something)
** Adhoc maintenance tasks (e.g. re-processing of products to apply a new taxonomy)
** User requested tasks
*** Imports and exports on the Producers Platform

== Events that require an action ==

Something needs to be done.

* User request that needs to be manually validated
** exporting products from the Producers Platform to the public database (at least for the first time)


= Desirable features =

* Event log: being able to see individual events
* Filtering by event type, country, product, organization, user etc.
* Integration with OFF
** It's not just about generating events, but also being able to display events directly into OFF
*** e.g. show status of user generated tasks
* Aggregated metrics, graphs etc. of events
** Nice to have, but not the main focus.
* Event status for events that require an action (e.g. open / close)
* Notifications (by mail, Slack channel etc.) for specific types of events
* Public events and private events

= Possible options =

== External events system ==

* Sentry
* Matomo
* Minion
** We could turn maintenance tasks into Minion jobs

== OFF events system ==

* Events collection in MongoDB
** Makes it easy to have lots of OFF specific facets for events

== Notes ==

* We probably do not want to turn the events system in an analytics system
** Keep things (e.g. the events database) relatively small

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