feat(command-bar): hide low relevance matches by default (#186)

docs-site/docs/features/job-search-bar.md

@@ -24,6 +24,8 @@ Search matches job fields with fuzzy ranking:
 - company/employer
 - location
 
+By default, very low-relevance matches are hidden so results stay focused on likely intent.
+
 Results are grouped by status sections:
 
 - Ready

orchestrator/src/client/pages/orchestrator/JobCommandBar.utils.test.ts

@@ -19,7 +19,7 @@ describe("JobCommandBar score helpers", () => {
     expect(score).toBe(0);
   });
 
-  it("ranks exact and fuzzy matches above non-matches for a query", () => {
+  it("keeps only relevant matches when a query is provided", () => {
     const grouped = groupJobsForCommandBar(
       [
         createJob({
@@ -44,10 +44,22 @@ describe("JobCommandBar score helpers", () => {
       "backend",
     );
 
-    expect(grouped.ready.map((job) => job.id)).toEqual([
-      "exact",
-      "fuzzy",
-      "no-match",
-    ]);
+    expect(grouped.ready.map((job) => job.id)).toEqual(["exact", "fuzzy"]);
+  });
+
+  it("filters out weak fuzzy matches below the relevance floor", () => {
+    const grouped = groupJobsForCommandBar(
+      [
+        createJob({
+          id: "weak-fuzzy",
+          title: "Backend Engineer",
+          employer: "Platform Co",
+          discoveredAt: "2025-01-02T00:00:00Z",
+        }),
+      ],
+      "bde",
+    );
+
+    expect(grouped.ready).toEqual([]);
   });
 });

orchestrator/src/client/pages/orchestrator/JobCommandBar.utils.ts

@@ -34,6 +34,7 @@ export const lockLabel: Record<StatusLock, string> = {
 };
 
 const tokenRegex = /^\s*@([a-z-]*)/i;
+const MINIMUM_MATCH_SCORE = 600;
 
 const parseTime = (value: string | null) => {
   if (!value) return Number.NaN;
@@ -158,24 +159,29 @@ export const groupJobsForCommandBar = (
     other: [],
   };
 
-  const sorted = [...scopedJobs].sort((a, b) => {
-    if (normalizedQuery) {
-      const firstScore = computeJobMatchScore(a, normalizedQuery);
-      const secondScore = computeJobMatchScore(b, normalizedQuery);
-      if (firstScore !== secondScore) return secondScore - firstScore;
-    }
+  const scoredJobs = normalizedQuery
+    ? scopedJobs
+        .map((job) => ({
+          job,
+          score: computeJobMatchScore(job, normalizedQuery),
+        }))
+        .filter(({ score }) => score >= MINIMUM_MATCH_SCORE)
+    : scopedJobs.map((job) => ({ job, score: 0 }));
 
-    const first = parseTime(a.discoveredAt);
-    const second = parseTime(b.discoveredAt);
+  const sorted = scoredJobs.sort((a, b) => {
+    if (normalizedQuery && a.score !== b.score) return b.score - a.score;
+
+    const first = parseTime(a.job.discoveredAt);
+    const second = parseTime(b.job.discoveredAt);
     if (!Number.isNaN(first) && !Number.isNaN(second)) {
       return second - first;
     }
     if (!Number.isNaN(first)) return -1;
     if (!Number.isNaN(second)) return 1;
-    return b.id.localeCompare(a.id);
+    return b.job.id.localeCompare(a.job.id);
   });
 
-  for (const job of sorted) {
+  for (const { job } of sorted) {
     groups[getCommandGroup(job.status)].push(job);
   }
   return groups;