Events system: Difference between revisions
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** Perl client: https://docs.sentry.io/clients/perl/ | |||
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* Minion | * Minion |
Revision as of 11:35, 20 June 2020
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
- It's not just about generating events, but also being able to display events directly into OFF
- 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
- Perl client: https://docs.sentry.io/clients/perl/
- 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