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.
This commit is contained in:
2026-02-23 14:23:07 -05:00
parent 37a9584d0c
commit 5a2ad8ec1c
110 changed files with 10537 additions and 1185 deletions

39
_edit_datasets.py Normal file
View File

@@ -0,0 +1,39 @@
from pathlib import Path
p=Path(r'd:/Projects/Dev/ThreatHunt/backend/app/api/routes/datasets.py')
t=p.read_text(encoding='utf-8')
if 'from app.services.scanner import keyword_scan_cache' not in t:
t=t.replace('from app.services.host_inventory import inventory_cache','from app.services.host_inventory import inventory_cache\nfrom app.services.scanner import keyword_scan_cache')
old='''@router.delete(
"/{dataset_id}",
summary="Delete a dataset",
)
async def delete_dataset(
dataset_id: str,
db: AsyncSession = Depends(get_db),
):
repo = DatasetRepository(db)
deleted = await repo.delete_dataset(dataset_id)
if not deleted:
raise HTTPException(status_code=404, detail="Dataset not found")
return {"message": "Dataset deleted", "id": dataset_id}
'''
new='''@router.delete(
"/{dataset_id}",
summary="Delete a dataset",
)
async def delete_dataset(
dataset_id: str,
db: AsyncSession = Depends(get_db),
):
repo = DatasetRepository(db)
deleted = await repo.delete_dataset(dataset_id)
if not deleted:
raise HTTPException(status_code=404, detail="Dataset not found")
keyword_scan_cache.invalidate_dataset(dataset_id)
return {"message": "Dataset deleted", "id": dataset_id}
'''
if old not in t:
raise SystemExit('delete block not found')
t=t.replace(old,new)
p.write_text(t,encoding='utf-8')
print('updated datasets.py')