feat: Add Playbook Manager, Saved Searches, and Timeline View components

- Implemented PlaybookManager for creating and managing investigation playbooks with templates.
- Added SavedSearches component for managing bookmarked queries and recurring scans.
- Introduced TimelineView for visualizing forensic event timelines with zoomable charts.
- Enhanced backend processing with auto-queued jobs for dataset uploads and improved database concurrency.
- Updated frontend components for better user experience and performance optimizations.
- Documented changes in update log for future reference.

_edit_job_queue.py

@@ -0,0 +1,46 @@
+from pathlib import Path
+p=Path(r'd:/Projects/Dev/ThreatHunt/backend/app/services/job_queue.py')
+t=p.read_text(encoding='utf-8')
+old='''async def _handle_keyword_scan(job: Job):
+    """AUP keyword scan handler."""
+    from app.db import async_session_factory
+    from app.services.scanner import KeywordScanner
+
+    dataset_id = job.params.get("dataset_id")
+    job.message = f"Running AUP keyword scan on dataset {dataset_id}"
+
+    async with async_session_factory() as db:
+        scanner = KeywordScanner(db)
+        result = await scanner.scan(dataset_ids=[dataset_id])
+
+    hits = result.get("total_hits", 0)
+    job.message = f"Keyword scan complete: {hits} hits"
+    logger.info(f"Keyword scan for {dataset_id}: {hits} hits across {result.get('rows_scanned', 0)} rows")
+    return {"dataset_id": dataset_id, "total_hits": hits, "rows_scanned": result.get("rows_scanned", 0)}
+'''
+new='''async def _handle_keyword_scan(job: Job):
+    """AUP keyword scan handler."""
+    from app.db import async_session_factory
+    from app.services.scanner import KeywordScanner, keyword_scan_cache
+
+    dataset_id = job.params.get("dataset_id")
+    job.message = f"Running AUP keyword scan on dataset {dataset_id}"
+
+    async with async_session_factory() as db:
+        scanner = KeywordScanner(db)
+        result = await scanner.scan(dataset_ids=[dataset_id])
+
+    # Cache dataset-only result for fast API reuse
+    if dataset_id:
+        keyword_scan_cache.put(dataset_id, result)
+
+    hits = result.get("total_hits", 0)
+    job.message = f"Keyword scan complete: {hits} hits"
+    logger.info(f"Keyword scan for {dataset_id}: {hits} hits across {result.get('rows_scanned', 0)} rows")
+    return {"dataset_id": dataset_id, "total_hits": hits, "rows_scanned": result.get("rows_scanned", 0)}
+'''
+if old not in t:
+    raise SystemExit('target block not found')
+t=t.replace(old,new)
+p.write_text(t,encoding='utf-8')
+print('updated job_queue keyword scan handler')