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feat(api): add findings severity timeseries endpoint (#9363)
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@@ -1,14 +1,18 @@
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from collections import defaultdict
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from django.db.models import Sum
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from api.db_router import READ_REPLICA_ALIAS
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from api.db_utils import rls_transaction
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from api.models import (
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ComplianceOverviewSummary,
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ComplianceRequirementOverview,
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DailySeveritySummary,
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Resource,
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ResourceFindingMapping,
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ResourceScanSummary,
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Scan,
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ScanSummary,
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StateChoices,
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)
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@@ -175,3 +179,100 @@ def backfill_compliance_summaries(tenant_id: str, scan_id: str):
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)
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return {"status": "backfilled", "inserted": len(summary_objects)}
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def backfill_daily_severity_summaries(tenant_id: str, days: int = None):
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"""
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Backfill DailySeveritySummary from completed scans.
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Groups by provider+date, keeps latest scan per day.
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"""
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from datetime import timedelta
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from django.utils import timezone
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created_count = 0
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updated_count = 0
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with rls_transaction(tenant_id, using=READ_REPLICA_ALIAS):
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scan_filter = {
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"tenant_id": tenant_id,
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"state": StateChoices.COMPLETED,
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"completed_at__isnull": False,
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}
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if days is not None:
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cutoff_date = timezone.now() - timedelta(days=days)
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scan_filter["completed_at__gte"] = cutoff_date
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completed_scans = (
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Scan.objects.filter(**scan_filter)
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.order_by("provider_id", "-completed_at")
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.values("id", "provider_id", "completed_at")
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)
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if not completed_scans:
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return {"status": "no scans to backfill"}
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# Keep only latest scan per provider/day
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latest_scans_by_day = {}
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for scan in completed_scans:
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key = (scan["provider_id"], scan["completed_at"].date())
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if key not in latest_scans_by_day:
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latest_scans_by_day[key] = scan
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# Process each provider/day
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for (provider_id, scan_date), scan in latest_scans_by_day.items():
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scan_id = scan["id"]
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with rls_transaction(tenant_id, using=READ_REPLICA_ALIAS):
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severity_totals = (
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ScanSummary.objects.filter(
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tenant_id=tenant_id,
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scan_id=scan_id,
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)
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.values("severity")
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.annotate(total_fail=Sum("fail"), total_muted=Sum("muted"))
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)
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severity_data = {
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"critical": 0,
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"high": 0,
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"medium": 0,
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"low": 0,
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"informational": 0,
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"muted": 0,
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}
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for row in severity_totals:
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severity = row["severity"]
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if severity in severity_data:
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severity_data[severity] = row["total_fail"] or 0
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severity_data["muted"] += row["total_muted"] or 0
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with rls_transaction(tenant_id):
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_, created = DailySeveritySummary.objects.update_or_create(
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tenant_id=tenant_id,
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provider_id=provider_id,
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date=scan_date,
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defaults={
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"scan_id": scan_id,
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"critical": severity_data["critical"],
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"high": severity_data["high"],
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"medium": severity_data["medium"],
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"low": severity_data["low"],
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"informational": severity_data["informational"],
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"muted": severity_data["muted"],
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},
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)
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if created:
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created_count += 1
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else:
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updated_count += 1
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return {
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"status": "backfilled",
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"created": created_count,
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"updated": updated_count,
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"total_days": len(latest_scans_by_day),
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}
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@@ -29,6 +29,7 @@ from api.models import (
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AttackSurfaceOverview,
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ComplianceOverviewSummary,
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ComplianceRequirementOverview,
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DailySeveritySummary,
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Finding,
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MuteRule,
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Processor,
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@@ -1348,3 +1349,72 @@ def aggregate_attack_surface(tenant_id: str, scan_id: str):
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)
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else:
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logger.info(f"No attack surface overview records created for scan {scan_id}")
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def aggregate_daily_severity(tenant_id: str, scan_id: str):
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"""Aggregate scan severity counts into DailySeveritySummary (one record per provider/day)."""
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with rls_transaction(tenant_id, using=READ_REPLICA_ALIAS):
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scan = Scan.objects.filter(
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tenant_id=tenant_id,
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id=scan_id,
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state=StateChoices.COMPLETED,
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).first()
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if not scan:
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logger.warning(f"Scan {scan_id} not found or not completed")
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return {"status": "scan is not completed"}
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provider_id = scan.provider_id
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scan_date = scan.completed_at.date()
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severity_totals = (
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ScanSummary.objects.filter(
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tenant_id=tenant_id,
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scan_id=scan_id,
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)
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.values("severity")
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.annotate(total_fail=Sum("fail"), total_muted=Sum("muted"))
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)
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severity_data = {
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"critical": 0,
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"high": 0,
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"medium": 0,
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"low": 0,
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"informational": 0,
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"muted": 0,
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}
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for row in severity_totals:
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severity = row["severity"]
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if severity in severity_data:
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severity_data[severity] = row["total_fail"] or 0
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severity_data["muted"] += row["total_muted"] or 0
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with rls_transaction(tenant_id):
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summary, created = DailySeveritySummary.objects.update_or_create(
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tenant_id=tenant_id,
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provider_id=provider_id,
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date=scan_date,
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defaults={
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"scan_id": scan_id,
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"critical": severity_data["critical"],
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"high": severity_data["high"],
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"medium": severity_data["medium"],
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"low": severity_data["low"],
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"informational": severity_data["informational"],
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"muted": severity_data["muted"],
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},
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)
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action = "created" if created else "updated"
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logger.info(
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f"Daily severity summary {action} for provider {provider_id} on {scan_date}"
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)
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return {
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"status": action,
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"provider_id": str(provider_id),
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"date": str(scan_date),
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"severity_data": severity_data,
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}
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@@ -10,6 +10,7 @@ from config.django.base import DJANGO_FINDINGS_BATCH_SIZE, DJANGO_TMP_OUTPUT_DIR
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from django_celery_beat.models import PeriodicTask
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from tasks.jobs.backfill import (
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backfill_compliance_summaries,
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backfill_daily_severity_summaries,
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backfill_resource_scan_summaries,
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)
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from tasks.jobs.connection import (
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@@ -38,6 +39,7 @@ from tasks.jobs.muting import mute_historical_findings
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from tasks.jobs.report import generate_compliance_reports_job
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from tasks.jobs.scan import (
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aggregate_attack_surface,
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aggregate_daily_severity,
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aggregate_findings,
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create_compliance_requirements,
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perform_prowler_scan,
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@@ -75,8 +77,11 @@ def _perform_scan_complete_tasks(tenant_id: str, scan_id: str, provider_id: str)
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)
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chain(
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perform_scan_summary_task.si(tenant_id=tenant_id, scan_id=scan_id),
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generate_outputs_task.si(
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scan_id=scan_id, provider_id=provider_id, tenant_id=tenant_id
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group(
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aggregate_daily_severity_task.si(tenant_id=tenant_id, scan_id=scan_id),
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generate_outputs_task.si(
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scan_id=scan_id, provider_id=provider_id, tenant_id=tenant_id
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),
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),
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group(
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# Use optimized task that generates both reports with shared queries
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@@ -523,6 +528,12 @@ def backfill_compliance_summaries_task(tenant_id: str, scan_id: str):
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return backfill_compliance_summaries(tenant_id=tenant_id, scan_id=scan_id)
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@shared_task(name="backfill-daily-severity-summaries", queue="backfill")
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def backfill_daily_severity_summaries_task(tenant_id: str, days: int = None):
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"""Backfill DailySeveritySummary from historical scans. Use days param to limit scope."""
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return backfill_daily_severity_summaries(tenant_id=tenant_id, days=days)
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@shared_task(base=RLSTask, name="scan-compliance-overviews", queue="compliance")
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@handle_provider_deletion
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def create_compliance_requirements_task(tenant_id: str, scan_id: str):
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@@ -556,6 +567,13 @@ def aggregate_attack_surface_task(tenant_id: str, scan_id: str):
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return aggregate_attack_surface(tenant_id=tenant_id, scan_id=scan_id)
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@shared_task(name="scan-daily-severity", queue="overview")
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@handle_provider_deletion
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def aggregate_daily_severity_task(tenant_id: str, scan_id: str):
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"""Aggregate scan severity into DailySeveritySummary for findings_severity/timeseries endpoint."""
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return aggregate_daily_severity(tenant_id=tenant_id, scan_id=scan_id)
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@shared_task(base=RLSTask, name="lighthouse-connection-check")
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@set_tenant
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def check_lighthouse_connection_task(lighthouse_config_id: str, tenant_id: str = None):
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