fix: prevent duplicate queue entries with Redis SET markers

Recovery sweeps and the retry endpoint now check a per-document Redis
key (SET NX, 1h TTL) before pushing to the queue. If the marker exists,
the doc is already enqueued and gets skipped. This prevents the
scheduler from re-enqueuing the same parsed docs every 5 minutes.

services/api/app.py

@@ -1891,6 +1891,7 @@ async def retry_failed_extractions_endpoint():
         return {"retried": 0, "message": "No extraction-failed documents to retry"}
 
     doc_ids = []
+    enqueued_set_prefix = f"{QUEUE_PREFIX}:enqueued"
     for row in rows:
         doc_type = row["document_type"]
         if doc_type == "macro_event":
@@ -1898,10 +1899,14 @@ async def retry_failed_extractions_endpoint():
         else:
             target = queue_key("extraction")
 
-        await rds.rpush(target, json.dumps({
-            "document_id": str(row["id"]),
-            "ticker": row["ticker"] or "",
-        }))
+        doc_id = str(row["id"])
+        marker = f"{enqueued_set_prefix}:{doc_id}"
+        added = await rds.set(marker, "1", nx=True, ex=3600)
+        if added:
+            await rds.rpush(target, json.dumps({
+                "document_id": doc_id,
+                "ticker": row["ticker"] or "",
+            }))
         doc_ids.append(row["id"])
 
     # Delete failed intelligence rows so extractor starts fresh