feat(api): new endpoint for categories overviews (#9529)

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Víctor Fernández Poyatos authored and GitHub committed 2025-12-12 13:30:59 +01:00
1 parent 0495267351
commit b5151a8ee5
18 files changed
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@@ -20,6 +20,7 @@ from tasks.jobs.scan import (
_process_finding_micro_batch,
_store_resources,
aggregate_attack_surface,
aggregate_category_counts,
aggregate_findings,
create_compliance_requirements,
perform_prowler_scan,
@@ -1377,6 +1378,7 @@ class TestProcessFindingMicroBatch:
unique_resources: set[tuple[str, str]] = set()
scan_resource_cache: set[tuple[str, str, str, str]] = set()
mute_rules_cache = {}
scan_categories_cache: dict[tuple[str, str], dict[str, int]] = {}
with (
patch("tasks.jobs.scan.rls_transaction", new=noop_rls_transaction),
@@ -1394,6 +1396,7 @@ class TestProcessFindingMicroBatch:
unique_resources,
scan_resource_cache,
mute_rules_cache,
scan_categories_cache,
)
created_finding = Finding.objects.get(uid=finding.uid)
@@ -1486,6 +1489,7 @@ class TestProcessFindingMicroBatch:
unique_resources: set[tuple[str, str]] = set()
scan_resource_cache: set[tuple[str, str, str, str]] = set()
mute_rules_cache = {finding.uid: "Muted via rule"}
scan_categories_cache: dict[tuple[str, str], dict[str, int]] = {}
with (
patch("tasks.jobs.scan.rls_transaction", new=noop_rls_transaction),
@@ -1503,6 +1507,7 @@ class TestProcessFindingMicroBatch:
unique_resources,
scan_resource_cache,
mute_rules_cache,
scan_categories_cache,
)
existing_resource.refresh_from_db()
@@ -1610,6 +1615,7 @@ class TestProcessFindingMicroBatch:
unique_resources: set[tuple[str, str]] = set()
scan_resource_cache: set[tuple[str, str, str, str]] = set()
mute_rules_cache = {}
scan_categories_cache: dict[tuple[str, str], dict[str, int]] = {}
with (
patch("tasks.jobs.scan.rls_transaction", new=noop_rls_transaction),
@@ -1628,6 +1634,7 @@ class TestProcessFindingMicroBatch:
unique_resources,
scan_resource_cache,
mute_rules_cache,
scan_categories_cache,
)
# Verify the long UID finding was NOT created
@@ -1648,6 +1655,118 @@ class TestProcessFindingMicroBatch:
for call in warning_calls
)
def test_process_finding_micro_batch_tracks_categories(
self, tenants_fixture, scans_fixture
):
tenant = tenants_fixture[0]
scan = scans_fixture[0]
provider = scan.provider
finding1 = FakeFinding(
uid="finding-cat-1",
status=StatusChoices.PASS,
status_extended="all good",
severity=Severity.low,
check_id="genai_check",
resource_uid="arn:aws:bedrock:::model/test",
resource_name="test-model",
region="us-east-1",
service_name="bedrock",
resource_type="model",
resource_tags={},
resource_metadata={},
resource_details={},
partition="aws",
raw={},
compliance={},
metadata={"categories": ["gen-ai", "security"]},
muted=False,
)
finding2 = FakeFinding(
uid="finding-cat-2",
status=StatusChoices.FAIL,
status_extended="bad",
severity=Severity.high,
check_id="iam_check",
resource_uid="arn:aws:iam:::user/test",
resource_name="test-user",
region="us-east-1",
service_name="iam",
resource_type="user",
resource_tags={},
resource_metadata={},
resource_details={},
partition="aws",
raw={},
compliance={},
metadata={"categories": ["security", "iam"]},
muted=False,
)
resource_cache = {}
tag_cache = {}
last_status_cache = {}
resource_failed_findings_cache = {}
unique_resources: set[tuple[str, str]] = set()
scan_resource_cache: set[tuple[str, str, str, str]] = set()
mute_rules_cache = {}
scan_categories_cache: dict[tuple[str, str], dict[str, int]] = {}
with (
patch("tasks.jobs.scan.rls_transaction", new=noop_rls_transaction),
patch("api.db_utils.rls_transaction", new=noop_rls_transaction),
):
_process_finding_micro_batch(
str(tenant.id),
[finding1, finding2],
scan,
provider,
resource_cache,
tag_cache,
last_status_cache,
resource_failed_findings_cache,
unique_resources,
scan_resource_cache,
mute_rules_cache,
scan_categories_cache,
)
# finding1: PASS, severity=low, categories=["gen-ai", "security"]
# finding2: FAIL, severity=high, categories=["security", "iam"]
# Keys are (category, severity) tuples
assert set(scan_categories_cache.keys()) == {
("gen-ai", "low"),
("security", "low"),
("security", "high"),
("iam", "high"),
}
assert scan_categories_cache[("gen-ai", "low")] == {
"total": 1,
"failed": 0,
"new_failed": 0,
}
assert scan_categories_cache[("security", "low")] == {
"total": 1,
"failed": 0,
"new_failed": 0,
}
assert scan_categories_cache[("security", "high")] == {
"total": 1,
"failed": 1,
"new_failed": 1,
}
assert scan_categories_cache[("iam", "high")] == {
"total": 1,
"failed": 1,
"new_failed": 1,
}
created_finding1 = Finding.objects.get(uid="finding-cat-1")
created_finding2 = Finding.objects.get(uid="finding-cat-2")
assert set(created_finding1.categories) == {"gen-ai", "security"}
assert set(created_finding2.categories) == {"security", "iam"}
@pytest.mark.django_db
class TestCreateComplianceRequirements:
@@ -3756,3 +3875,150 @@ class TestAggregateAttackSurface:
aggregate_attack_surface(str(tenant.id), str(scan.id))
mock_select_related.assert_called_once_with("provider")
class TestAggregateCategoryCounts:
"""Test aggregate_category_counts helper function."""
def test_aggregate_category_counts_basic(self):
"""Test basic category counting for a non-muted PASS finding."""
cache: dict[tuple[str, str], dict[str, int]] = {}
aggregate_category_counts(
categories=["security", "iam"],
severity="high",
status="PASS",
delta=None,
muted=False,
cache=cache,
)
assert ("security", "high") in cache
assert ("iam", "high") in cache
assert cache[("security", "high")] == {"total": 1, "failed": 0, "new_failed": 0}
assert cache[("iam", "high")] == {"total": 1, "failed": 0, "new_failed": 0}
def test_aggregate_category_counts_fail_not_muted(self):
"""Test category counting for a non-muted FAIL finding."""
cache: dict[tuple[str, str], dict[str, int]] = {}
aggregate_category_counts(
categories=["security"],
severity="critical",
status="FAIL",
delta=None,
muted=False,
cache=cache,
)
assert cache[("security", "critical")] == {
"total": 1,
"failed": 1,
"new_failed": 0,
}
def test_aggregate_category_counts_new_fail(self):
"""Test category counting for a new FAIL finding (delta='new')."""
cache: dict[tuple[str, str], dict[str, int]] = {}
aggregate_category_counts(
categories=["gen-ai"],
severity="high",
status="FAIL",
delta="new",
muted=False,
cache=cache,
)
assert cache[("gen-ai", "high")] == {"total": 1, "failed": 1, "new_failed": 1}
def test_aggregate_category_counts_muted_finding(self):
"""Test that muted findings are excluded from all counts."""
cache: dict[tuple[str, str], dict[str, int]] = {}
aggregate_category_counts(
categories=["security"],
severity="high",
status="FAIL",
delta="new",
muted=True,
cache=cache,
)
assert cache[("security", "high")] == {"total": 0, "failed": 0, "new_failed": 0}
def test_aggregate_category_counts_accumulates(self):
"""Test that multiple calls accumulate counts."""
cache: dict[tuple[str, str], dict[str, int]] = {}
# First finding: PASS
aggregate_category_counts(
categories=["security"],
severity="high",
status="PASS",
delta=None,
muted=False,
cache=cache,
)
# Second finding: FAIL (new)
aggregate_category_counts(
categories=["security"],
severity="high",
status="FAIL",
delta="new",
muted=False,
cache=cache,
)
# Third finding: FAIL (changed)
aggregate_category_counts(
categories=["security"],
severity="high",
status="FAIL",
delta="changed",
muted=False,
cache=cache,
)
assert cache[("security", "high")] == {"total": 3, "failed": 2, "new_failed": 1}
def test_aggregate_category_counts_empty_categories(self):
"""Test with empty categories list."""
cache: dict[tuple[str, str], dict[str, int]] = {}
aggregate_category_counts(
categories=[],
severity="high",
status="FAIL",
delta="new",
muted=False,
cache=cache,
)
assert cache == {}
def test_aggregate_category_counts_changed_delta(self):
"""Test that changed delta increments failed but not new_failed."""
cache: dict[tuple[str, str], dict[str, int]] = {}
aggregate_category_counts(
categories=["iam"],
severity="medium",
status="FAIL",
delta="changed",
muted=False,
cache=cache,
)
assert cache[("iam", "medium")] == {"total": 1, "failed": 1, "new_failed": 0}
def test_aggregate_category_counts_multiple_categories_single_finding(self):
"""Test single finding with multiple categories."""
cache: dict[tuple[str, str], dict[str, int]] = {}
aggregate_category_counts(
categories=["security", "compliance", "data-protection"],
severity="low",
status="FAIL",
delta="new",
muted=False,
cache=cache,
)
assert len(cache) == 3
for cat in ["security", "compliance", "data-protection"]:
assert cache[(cat, "low")] == {"total": 1, "failed": 1, "new_failed": 1}