feat(places): backend for the photo map (geo clusters API)
Phase 1 server side, gated on OXICLOUD_ENABLE_PLACES (off by default): - migration: partial index on storage.file_metadata(longitude, latitude). - FileBlobReadRepository::list_geo_clusters — plain-SQL grid aggregation (no PostGIS) scoped to the caller's own non-trashed photos, returning a centroid, count and a representative file id per non-empty cell. - PlacesService (caller_id-scoped; user-scoped data needs no authz check, mirroring RecentService) with a zoom→cell-size mapping. - GET /api/photos/geo?bbox=w,s,e,n&zoom=N returning GeoCluster[]. The route is mounted only when the Places service is present, and is registered in the OpenAPI path list. The map frontend (PMTiles serving + MapLibre module) is deferred pending the basemap-sourcing and vendoring decision. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01JW6ghFMDtnRYuYNzZhb47M
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@@ -20,6 +20,7 @@ pub mod magic_link_invite_service;
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pub mod music_service;
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pub mod nextcloud_file_id_service;
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pub mod nextcloud_login_flow_service;
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pub mod places_service;
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pub mod recent_service;
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pub mod recipient_notification_service;
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pub mod search_service;
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@@ -0,0 +1,45 @@
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use std::sync::Arc;
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use uuid::Uuid;
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use crate::application::dtos::geo_dto::{GeoBounds, GeoCluster};
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use crate::common::errors::DomainError;
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use crate::infrastructure::repositories::pg::FileBlobReadRepository;
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/// "Places" use case: the caller's geotagged photos aggregated into map
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/// clusters.
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///
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/// Strictly user-scoped — the repository filters `WHERE fi.user_id = $1`, so,
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/// like [`RecentService`](super::recent_service::RecentService) and the photos
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/// timeline, it needs no `AuthorizationEngine` check: the `caller_id`
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/// parameter *is* the access scope.
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pub struct PlacesService {
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file_read: Arc<FileBlobReadRepository>,
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}
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impl PlacesService {
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pub fn new(file_read: Arc<FileBlobReadRepository>) -> Self {
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Self { file_read }
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}
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/// Aggregation cell side, in degrees, for a slippy-map zoom level. The
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/// world (360°) is split into `2^zoom` tiles; we use ~4 cells per tile so
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/// clusters refine as the user zooms in. Clamped to a sane range.
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fn cell_for_zoom(zoom: u8) -> f64 {
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let z = i32::from(zoom.min(20));
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360.0 / (2_f64.powi(z) * 4.0)
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}
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/// Clustered geotagged photos for `caller_id` within `bounds`.
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pub async fn clusters(
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&self,
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caller_id: Uuid,
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bounds: GeoBounds,
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zoom: u8,
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) -> Result<Vec<GeoCluster>, DomainError> {
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let cell = Self::cell_for_zoom(zoom);
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self.file_read
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.list_geo_clusters(caller_id, bounds, cell)
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.await
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}
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}
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