Files
ThreatHunt/_edit_hunts_progress_tasks.py
mblanke 5a2ad8ec1c 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.
2026-02-23 14:23:07 -05:00

103 lines
3.9 KiB
Python

from pathlib import Path
p=Path(r'd:/Projects/Dev/ThreatHunt/backend/app/api/routes/hunts.py')
t=p.read_text(encoding='utf-8')
if 'ProcessingTask' not in t:
t=t.replace('from app.db.models import Hunt, Dataset','from app.db.models import Hunt, Dataset, ProcessingTask')
old=''' jobs = job_queue.list_jobs(limit=5000)
relevant_jobs = [
j for j in jobs
if j.get("params", {}).get("hunt_id") == hunt_id
or j.get("params", {}).get("dataset_id") in dataset_ids
]
active_jobs = sum(1 for j in relevant_jobs if j.get("status") == "running")
queued_jobs = sum(1 for j in relevant_jobs if j.get("status") == "queued")
if inventory_cache.get(hunt_id) is not None:
'''
new=''' jobs = job_queue.list_jobs(limit=5000)
relevant_jobs = [
j for j in jobs
if j.get("params", {}).get("hunt_id") == hunt_id
or j.get("params", {}).get("dataset_id") in dataset_ids
]
active_jobs_mem = sum(1 for j in relevant_jobs if j.get("status") == "running")
queued_jobs_mem = sum(1 for j in relevant_jobs if j.get("status") == "queued")
task_rows = await db.execute(
select(ProcessingTask.stage, ProcessingTask.status, ProcessingTask.progress)
.where(ProcessingTask.hunt_id == hunt_id)
)
tasks = task_rows.all()
task_total = len(tasks)
task_done = sum(1 for _, st, _ in tasks if st in ("completed", "failed", "cancelled"))
task_running = sum(1 for _, st, _ in tasks if st == "running")
task_queued = sum(1 for _, st, _ in tasks if st == "queued")
task_ratio = (task_done / task_total) if task_total > 0 else None
active_jobs = max(active_jobs_mem, task_running)
queued_jobs = max(queued_jobs_mem, task_queued)
stage_rollup: dict[str, dict] = {}
for stage, status, progress in tasks:
bucket = stage_rollup.setdefault(stage, {"total": 0, "done": 0, "running": 0, "queued": 0, "progress_sum": 0.0})
bucket["total"] += 1
if status in ("completed", "failed", "cancelled"):
bucket["done"] += 1
elif status == "running":
bucket["running"] += 1
elif status == "queued":
bucket["queued"] += 1
bucket["progress_sum"] += float(progress or 0.0)
for stage_name, bucket in stage_rollup.items():
total = max(1, bucket["total"])
bucket["percent"] = round(bucket["progress_sum"] / total, 1)
if inventory_cache.get(hunt_id) is not None:
'''
if old not in t:
raise SystemExit('job block not found')
t=t.replace(old,new)
old2=''' dataset_ratio = ((dataset_completed + dataset_errors) / dataset_total) if dataset_total > 0 else 1.0
overall_ratio = min(1.0, (dataset_ratio * 0.85) + (network_ratio * 0.15))
progress_percent = round(overall_ratio * 100.0, 1)
'''
new2=''' dataset_ratio = ((dataset_completed + dataset_errors) / dataset_total) if dataset_total > 0 else 1.0
if task_ratio is None:
overall_ratio = min(1.0, (dataset_ratio * 0.85) + (network_ratio * 0.15))
else:
overall_ratio = min(1.0, (dataset_ratio * 0.50) + (task_ratio * 0.35) + (network_ratio * 0.15))
progress_percent = round(overall_ratio * 100.0, 1)
'''
if old2 not in t:
raise SystemExit('ratio block not found')
t=t.replace(old2,new2)
old3=''' "jobs": {
"active": active_jobs,
"queued": queued_jobs,
"total_seen": len(relevant_jobs),
},
}
'''
new3=''' "jobs": {
"active": active_jobs,
"queued": queued_jobs,
"total_seen": len(relevant_jobs),
"task_total": task_total,
"task_done": task_done,
"task_percent": round((task_ratio or 0.0) * 100.0, 1) if task_total else None,
},
"task_stages": stage_rollup,
}
'''
if old3 not in t:
raise SystemExit('stages jobs block not found')
t=t.replace(old3,new3)
p.write_text(t,encoding='utf-8')
print('updated hunt progress to merge persistent processing tasks')