ASA: Create Cloud Optimized Geotiffs as part of process_hfi process

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Métriques du dépôt

Describe the task Automate the process of generating COGs based on processed SFMS/HFI files and store them in our object store

Acceptance Criteria

When an SFMS.file message is placed on the NATS queue, once the file has been processed by process_hfi(), a new cloud optimized hfi raster based on the SFMS file is created and placed in object store
The new COG can be viewed in the map on the ASA page

Additional context

Started working on this task in https://github.com/bcgov/wps/tree/task/automate-hfi-classification branch, but didn't finish it because of problems with NATS queue performance in prod
This task is considered a performance enhancement, as it will speed up map rendering on the frontend

Direction de recherche: Tracez comment les fichiers SFMS sont traités via la file NATS et la fonction process hfi(). Trouvez où les rasters sont générés et examinez les utilitaires de création de COG existants ou l'intégration avec l'object store. Consultez la branche task/automate hfi classification pour tout travail partiel antérieur.
Stack technique: python
Domaine: backenddata engineering
Type d'issue: Fonctionnalité
Difficulté: 4
Temps estimé: 3-5 jours
Statut d'activité: Active
Clarté: Claire
Prérequis: GitPythonBasic understanding of raster data
Accessibilité débutant: 30