feat(suggestions): tag-input dropdown searches the full prediction set

The typed dropdown sourced the threshold-filtered panel list (>= 0.70 general), so low-confidence actions/features the model DID predict never appeared — forcing hand-typed custom tags instead of accepting the model's canonical formatting. Add a threshold override: SuggestionService.for_image(threshold_override=) and GET /images/<id>/suggestions?min=<f> surface EVERY stored prediction (down to the 0.05 store floor), alias-resolved and normalized, still excluding applied/rejected and unsurfaced categories. The suggestions store gains allByCategory + loadAll (min=0); the dropdown searches that full set (cap 20), while the Suggestions panel stays curated at the configured threshold. Accept/dismiss drop from both lists. Operator-asked 2026-06-09. Test: a 0.30 general prediction is hidden by default but surfaced with threshold_override=0.0; unsurfaced categories still excluded. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-09 20:22:24 -04:00
parent 978f49adcc
commit c999c64cbe
6 changed files with 121 additions and 18 deletions
@@ -62,7 +62,11 @@ const isEmpty = computed(() =>
  Object.values(store.byCategory).every(list => !list || list.length === 0)
 )

-watch(() => props.imageId, (id) => { if (id != null) store.load(id) }, { immediate: true })
+watch(() => props.imageId, (id) => {
+  if (id == null) return
+  store.load(id)        // panel: curated, ≥ threshold
+  store.loadAll(id)     // dropdown: full prediction set (low-confidence included)
+}, { immediate: true })

 // After a successful accept/alias-accept, refresh the modal's current
 // tag list so TagPanel's chip rail reflects the newly-attached tag.