feat: performance and visual improvements

src/plugins/built-in/globalSearch/src/components/SearchBar.svelte

@@ -18,11 +18,9 @@
 
   const { 
     transparencyEffects, 
-    showRecentFirst,
     searchHotkey: initialSearchHotkey
   } = $props<{ 
     transparencyEffects: boolean, 
-    showRecentFirst: boolean,
     searchHotkey: string
   }>();
 
@@ -170,10 +168,7 @@
       combinedResults = await doSearch(
         term, 
         commandsFuse, 
-        dynamicContentFuse, 
         commandIdToItemMap, 
-        dynamicIdToItemMap,
-        showRecentFirst
       );
     } else {
       combinedResults = [];

src/plugins/built-in/globalSearch/src/components/items/ForumItem.svelte

@@ -19,7 +19,7 @@
   >
   <div class="flex items-center w-full">
     <div class="flex-none scale-90 w-8 h-8 text-xl font-IconFamily flex items-center justify-center text-white bg-gradient-to-br from-[#59aaf6] to-[#1b62c6] rounded-md">{item.metadata?.icon || '\uebe7'}</div>
-    <span class="ml-4 text-lg truncate">
+    <span class="ml-4 text-lg truncate {item.metadata?.closed ? 'line-through opacity-80' : ''}">
       <HighlightedText text={item.text} term={searchTerm} matches={matches} />
     </span>
     <span class="flex-none ml-auto text-xs text-zinc-500 dark:text-zinc-400">

src/plugins/built-in/globalSearch/src/indexing/actions.ts

@@ -80,4 +80,8 @@ export const actionMap: Record<string, ActionHandler<any>> = {
   subjectcourse: ((item: IndexItem) => {
     window.location.href = `/#?page=/courses/${item.metadata.programme}:${item.metadata.subjectId}`;
   }) as ActionHandler<any>,
+
+  forum: ((item: IndexItem) => {
+    window.location.href = `/#?page=/forums/${item.metadata.forumId}`;
+  }) as ActionHandler<any>,
 };

src/plugins/built-in/globalSearch/src/indexing/jobs/forums.ts

@@ -51,6 +51,7 @@ export const forumsJob: Job = {
           forumId: forum.id,
           owner: forum.owner,
           title: forum.title,
+          closed: forum.closed,
         },
         actionId: "forum",
         renderComponentId: "forum",
@@ -60,9 +61,9 @@ export const forumsJob: Job = {
     return items;
   },
 
-  /** Keep only forums from the last 2 years. */
+  /** Keep only forums from the last year. */
   purge: (items) => {
-    const twoYearsAgo = Date.now() - 2 * 365 * 24 * 60 * 60 * 1000;
-    return items.filter((i) => i.dateAdded >= twoYearsAgo);
+    const oneYearAgo = Date.now() - 365 * 24 * 60 * 60 * 1000;
+    return items.filter((i) => i.dateAdded >= oneYearAgo);
   },
 };

src/plugins/built-in/globalSearch/src/indexing/jobs/subjects.ts

@@ -27,7 +27,7 @@ export const subjectsJob: Job = {
 
     let score = 0;
     if (item.metadata.isActive) {
-      score += 1; // Boost for active subjects
+      score += 0.01; // Boost for active subjects
     } else {
       score -= 50; // Penalty for inactive subjects
     }

src/plugins/built-in/globalSearch/src/search/searchUtils.ts

@@ -130,10 +130,7 @@ export function searchDynamicItems(
 export async function performSearch(
   query: string,
   commandsFuse: Fuse<StaticCommandItem>,
-  dynamicContentFuse: Fuse<IndexItem>,
   commandIdToItemMap: Map<string, StaticCommandItem>,
-  dynamicIdToItemMap: Map<string, IndexItem>,
-  showRecentFirst: boolean,
 ): Promise<CombinedResult[]> {
   // Get all results first
   const commandResults = searchCommands(
@@ -141,18 +138,11 @@ export async function performSearch(
     query,
     commandIdToItemMap,
   );
-  const dynamicResults = searchDynamicItems(
-    dynamicContentFuse,
-    query,
-    dynamicIdToItemMap,
-    10,
-    showRecentFirst,
-  );
 
   // Get vector results in parallel
   let vectorResults: VectorSearchResult[] = [];
   try {
-    vectorResults = await searchVectors(query, 10);
+    vectorResults = await searchVectors(query);
   } catch (e) {}
 
   // Create a map to store our final results, using ID as key to avoid duplicates
@@ -164,35 +154,6 @@ export async function performSearch(
   // Process dynamic results and vector results together
   const seenIds = new Set<string>();
 
-  // Add dynamic results first
-  dynamicResults.forEach((r) => {
-    seenIds.add(r.id);
-    
-    if (r.type === "dynamic") {
-      const dynamicItem = r.item as IndexItem;
-      const job = jobs[dynamicItem.category];
-      if (job && typeof job.boostCriteria === 'function') {
-        const boost = job.boostCriteria(dynamicItem, query);
-        if (boost) {
-          r.score += boost; // Add the boost to the score
-        }
-      }
-    }
-    
-    const vectorMatch = vectorResults.find((v) => v.object.id === r.id);
-    if (vectorMatch) {
-      // If we found it in both searches, combine the scores
-      resultMap.set(r.id, {
-        ...r,
-        score: r.score + vectorMatch.similarity * 0.6, // Boost exact matches
-      });
-    } else {
-      // If only in Fuse results, keep as is
-      resultMap.set(r.id, r);
-    }
-  });
-
-  // Now add any vector results we haven't seen yet
   vectorResults.forEach((v) => {
     const id = v.object.id;
 

src/plugins/built-in/globalSearch/src/search/vector/vectorSearch.ts

@@ -20,7 +20,7 @@ export interface VectorSearchResult extends SearchResult {
 
 export async function searchVectors(
   query: string,
-  topK: number = 10,
+  topK: number = 20,
 ): Promise<VectorSearchResult[]> {
   if (!vectorIndex) await initVectorSearch();
 
@@ -32,7 +32,11 @@ export async function searchVectors(
     dedupeEntries: true,
   });
 
-  return results as VectorSearchResult[];
+  // filter results with a similarity below 0.81
+  const filteredResults = results.filter((r) => r.similarity > 0.81);
+  console.log("Vector search results", filteredResults);
+
+  return filteredResults as VectorSearchResult[];
 }
 
 export async function refreshVectorCache() {