fix(rectification): ask from the scored probe catalog, not snapshot leftovers

Empty snapshot candidates were starving remaining D24 splits, so the TypeScript follow-up chain asked the low-gain Python career probe. Read paths now share one inference+engine catalog and yield a stale low-gain distinguish card to the current winner. Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-28 09:48:57 +08:00
parent 4bf074b2bf
commit ca6252ecb6
9 changed files with 417 additions and 139 deletions
@@ -1825,6 +1825,52 @@ test("low-gain career event probe does not outrank a renderable high-gain D24 co
  assert.ok((plan.next_followup?.selection_score ?? 0) > 0.56);
 });

+test("already-open low-gain career card yields to the high-gain D24 catalog winner", () => {
+  const plan = buildMethodFollowupPlan({
+    evidence: CLASSIC_COVERAGE.filter((item) => item.domain !== "horary"),
+    eventProbes: [{
+      ...CAREER_CONFLICT_PROBE,
+      year: 2023,
+      year_label: "2023 年前后",
+      semantic_key: "career.2023.dasha_activation",
+      information_gain: 0.56,
+      candidate_split_hash: "set-test:career:2023",
+    }],
+    contrastPacket: {
+      candidateSetVersion: "05:00-05:14",
+      vargaDifferences: [],
+      probes: [{
+        probeId: "contrast:varga.d24.05:00/05:07|05:10|05:14",
+        candidateSetVersion: "05:00-05:14",
+        question: "当前几个候选在学业盘上还分得开。",
+        expectedOutcomes: [
+          { outcomeId: "yes", supportsCandidateIds: ["05:00"], conflictsCandidateIds: ["05:07", "05:10", "05:14"] },
+          { outcomeId: "no", supportsCandidateIds: ["05:07", "05:10", "05:14"], conflictsCandidateIds: ["05:00"] },
+        ],
+        candidateSplitHash: "varga.d24.05:00/05:07|05:10|05:14",
+        informationGain: 2.503258,
+        sourceFeatures: [{ technique: "D24", calculationResultId: RESULT_ID }],
+        domain: "education",
+        year: null,
+        semanticKey: "varga.d24.05:00/05:07|05:10|05:14",
+        choiceKind: "event_quality",
+      }],
+    },
+    candidatesSeparated: false,
+    activeFocus: {
+      intent: "distinguish_candidates",
+      targetDomain: "career",
+      targetKind: "career_entry",
+      expectedAnswerSchema: {
+        semantic_key: "career.2023.dasha_activation",
+        candidate_split_hash: "set-test:career:2023",
+      },
+    },
+  });
+  assert.equal(plan.next_followup?.semantic_key, "varga.d24.05:00/05:07|05:10|05:14");
+  assert.doesNotMatch(plan.next_followup?.semantic_key ?? "", /career\.2023/);
+});
+
 const DUMP_COVERAGE = [
  {
    status: "confirmed" as const,