import uuid from datetime import timedelta import pytest from sentry.integrations.slack.message_builder.image_block_builder import ImageBlockBuilder from sentry.issues.grouptype import ( PerformanceP95EndpointRegressionGroupType, ProfileFunctionRegressionType, ) from sentry.models.group import Group from sentry.testutils.cases import ( AcceptanceTestCase, MetricsEnhancedPerformanceTestCase, ProfilesSnubaTestCase, ) from sentry.testutils.helpers.datetime import before_now from sentry.testutils.helpers.features import with_feature from tests.sentry.issues.test_utils import OccurrenceTestMixin pytestmark = pytest.mark.sentry_metrics class TestSlackImageBlockBuilder( AcceptanceTestCase, MetricsEnhancedPerformanceTestCase, ProfilesSnubaTestCase, OccurrenceTestMixin, ): def setUp(self): super().setUp() self.features = { "organizations:performance-use-metrics": True, "organizations:slack-endpoint-regression-image": True, "organizations:slack-function-regression-image": True, } @with_feature("organizations:slack-endpoint-regression-image") def test_image_block_for_endpoint_regression(self): for i in range(10): event_id = uuid.uuid4().hex _ = self.process_occurrence( project_id=self.project.id, event_id=event_id, type=PerformanceP95EndpointRegressionGroupType.type_id, event_data={ "fingerprint": ["group-1"], "timestamp": before_now(minutes=i + 10).isoformat(), "transaction": "/books/", }, evidence_data={ "breakpoint": before_now(minutes=i + 10).timestamp(), }, ) self.store_transaction_metric( metric="transaction.duration", tags={"transaction": "/books/"}, value=1, timestamp=before_now(minutes=i + 10), project=self.project.id, ) group = Group.objects.first() group.update(type=PerformanceP95EndpointRegressionGroupType.type_id) with self.feature(self.features): image_block = ImageBlockBuilder(group=group).build_image_block() assert image_block and "type" in image_block and image_block["type"] == "image" assert "_media/" in image_block["image_url"] @with_feature("organizations:slack-function-regression-image") def test_image_block_for_function_regression(self): hour_ago = (before_now(minutes=10) - timedelta(hours=1)).replace( minute=0, second=0, microsecond=0 ) for i in range(10): event_id = uuid.uuid4().hex _ = self.process_occurrence( project_id=self.project.id, event_id=event_id, type=ProfileFunctionRegressionType.type_id, event_data={ "fingerprint": ["group-1"], "timestamp": before_now(minutes=i + 10).isoformat(), "function": "foo", }, evidence_data={ "breakpoint": before_now(minutes=i + 10).timestamp(), "fingerprint": self.function_fingerprint({"package": "foo", "function": "foo"}), "aggregate_range_1": 51588984.199999996, "aggregate_range_2": 839118611.8535699, }, ) self.store_functions( [ { "self_times_ns": [100 for _ in range(100)], "package": "foo", "function": "foo", # only in app functions should # appear in the results "in_app": True, }, ], project=self.project, timestamp=hour_ago, ) group = Group.objects.first() with self.feature(self.features): image_block = ImageBlockBuilder(group=group).build_image_block() assert image_block and "type" in image_block and image_block["type"] == "image" assert "_media/" in image_block["image_url"]