photo-pipeline

The photo pipeline orchestrates the end-to-end OpenLitterMap flow from upload to tagging, verification, and XP generation. It processes web and mobile photo uploads, applies EXIF validation, and computes summaries prior to verification.

XP calculation runs automatically during the photo pipeline after tagging and before verification. It computes summaries and generates XP for observations regardless of trust level to ensure consistent data quality and user rewards.

The verification flow uses guards to differentiate school vs trusted users. Trusted users receive immediate admin approval, while school users enter a pending teacher verification state to ensure data integrity.

The photo pipeline supports v5 tagging endpoints and handles multiple tag types including object, brand, material, and custom tags. It builds summaries and XP from these tags before the verification step.

The photo upload pipeline applies strong validation, atomic transactions, and guards to ensure data integrity. It validates EXIF data and location information during the upload stage before proceeding to tagging.

The photo pipeline implements a production-grade workflow with atomic transactions and guards to ensure real-time updates. This approach maintains data integrity across upload, tagging, summary calculation, and verification.