Namen nachtraeglich in fertige Zusammenfassung uebernehmen

speaker_labels speichert das Label jedes Clusters im LLM-Text; relabelAnalysis()
ersetzt beim Umbenennen wortgenau in summary/todos/transcript_clean und baut die
Teilnehmerliste neu. #74: keine 'Sprecher N' mehr.

app/db.js

@@ -15,6 +15,7 @@ export async function ensureSchema() {
     ADD COLUMN IF NOT EXISTS transcript_clean TEXT NULL,
     ADD COLUMN IF NOT EXISTS wav_file VARCHAR(255) NULL,
     ADD COLUMN IF NOT EXISTS speaker_names TEXT NULL,
+    ADD COLUMN IF NOT EXISTS speaker_labels TEXT NULL,
     ADD COLUMN IF NOT EXISTS analysis_status VARCHAR(16) NOT NULL DEFAULT 'pending',
     ADD COLUMN IF NOT EXISTS analysis_started_at BIGINT NULL,
     ADD COLUMN IF NOT EXISTS analysis_ms INT NULL`);
@@ -187,6 +188,17 @@ export async function setSpeakerName(id, speaker, name) {
   if (name) m[speaker] = name; else delete m[speaker];   // empty name clears back to "Sprecher N"
   await pool.execute('UPDATE recordings SET speaker_names=? WHERE id=?', [JSON.stringify(m), id]);
 }
+// The label EVERY speaker carried in the text the LLM produced ({speaker_07:
+// "Sprecher 5"}). Stored with the analysis so a later rename can swap the name
+// into the finished summary/todos instead of re-running the 20-minute analysis.
+export async function setSpeakerLabels(id, labels) {
+  await pool.execute('UPDATE recordings SET speaker_labels=? WHERE id=?', [JSON.stringify(labels || {}), id]);
+}
+export async function getSpeakerLabels(id) {
+  const [rows] = await pool.query('SELECT speaker_labels FROM recordings WHERE id=?', [id]);
+  try { return JSON.parse((rows[0] && rows[0].speaker_labels) || '{}') || {}; } catch { return {}; }
+}
+
 // Seed names from acoustic identification WITHOUT clobbering existing (manual) ones.
 export async function mergeSpeakerNames(id, map) {
   if (!map || !Object.keys(map).length) return;