|
| 1 | +from unittest.mock import patch |
| 2 | + |
| 3 | +from sentry.preprod.models import PreprodArtifactSizeMetrics |
| 4 | +from sentry.preprod.size_analysis.grouptype import PreprodSizeAnalysisGroupType |
| 5 | +from sentry.preprod.size_analysis.models import ComparisonResults, SizeMetricDiffItem |
| 6 | +from sentry.preprod.size_analysis.tasks import maybe_emit_issues |
| 7 | +from sentry.testutils.cases import TestCase |
| 8 | +from sentry.workflow_engine.models.data_condition import Condition |
| 9 | +from sentry.workflow_engine.types import DetectorPriorityLevel |
| 10 | + |
| 11 | + |
| 12 | +class MaybeEmitIssuesTest(TestCase): |
| 13 | + """Tests for the maybe_emit_issues function.""" |
| 14 | + |
| 15 | + def _create_comparison_results( |
| 16 | + self, |
| 17 | + head_install_size: int = 5000000, |
| 18 | + head_download_size: int = 2000000, |
| 19 | + base_install_size: int = 4000000, |
| 20 | + base_download_size: int = 1500000, |
| 21 | + ) -> ComparisonResults: |
| 22 | + return ComparisonResults( |
| 23 | + diff_items=[], |
| 24 | + insight_diff_items=[], |
| 25 | + size_metric_diff_item=SizeMetricDiffItem( |
| 26 | + metrics_artifact_type=PreprodArtifactSizeMetrics.MetricsArtifactType.MAIN_ARTIFACT, |
| 27 | + identifier=None, |
| 28 | + head_install_size=head_install_size, |
| 29 | + head_download_size=head_download_size, |
| 30 | + base_install_size=base_install_size, |
| 31 | + base_download_size=base_download_size, |
| 32 | + ), |
| 33 | + skipped_diff_item_comparison=False, |
| 34 | + ) |
| 35 | + |
| 36 | + def test_maybe_emit_issues_triggers_detector_evaluation(self): |
| 37 | + head_artifact = self.create_preprod_artifact(project=self.project, app_id="com.example.app") |
| 38 | + base_artifact = self.create_preprod_artifact(project=self.project, app_id="com.example.app") |
| 39 | + |
| 40 | + head_metric = self.create_preprod_artifact_size_metrics( |
| 41 | + head_artifact, |
| 42 | + metrics_type=PreprodArtifactSizeMetrics.MetricsArtifactType.MAIN_ARTIFACT, |
| 43 | + identifier=None, |
| 44 | + max_install_size=5000000, |
| 45 | + max_download_size=2000000, |
| 46 | + state=PreprodArtifactSizeMetrics.SizeAnalysisState.COMPLETED, |
| 47 | + ) |
| 48 | + |
| 49 | + base_metric = self.create_preprod_artifact_size_metrics( |
| 50 | + base_artifact, |
| 51 | + metrics_type=PreprodArtifactSizeMetrics.MetricsArtifactType.MAIN_ARTIFACT, |
| 52 | + identifier=None, |
| 53 | + max_install_size=4000000, |
| 54 | + max_download_size=1500000, |
| 55 | + state=PreprodArtifactSizeMetrics.SizeAnalysisState.COMPLETED, |
| 56 | + ) |
| 57 | + |
| 58 | + condition_group = self.create_data_condition_group( |
| 59 | + organization=self.project.organization, |
| 60 | + ) |
| 61 | + self.create_data_condition( |
| 62 | + condition_group=condition_group, |
| 63 | + type=Condition.GREATER, |
| 64 | + comparison=1000000, |
| 65 | + condition_result=DetectorPriorityLevel.HIGH, |
| 66 | + ) |
| 67 | + self.create_detector( |
| 68 | + name="test-detector", |
| 69 | + project=self.project, |
| 70 | + type=PreprodSizeAnalysisGroupType.slug, |
| 71 | + config={"threshold_type": "absolute_threshold", "measurement": "install_size"}, |
| 72 | + workflow_condition_group=condition_group, |
| 73 | + ) |
| 74 | + |
| 75 | + comparison_results = self._create_comparison_results() |
| 76 | + |
| 77 | + with self.feature("organizations:preprod-issues"): |
| 78 | + with patch( |
| 79 | + "sentry.workflow_engine.processors.detector.produce_occurrence_to_kafka" |
| 80 | + ) as mock_produce: |
| 81 | + maybe_emit_issues(comparison_results, head_metric, base_metric) |
| 82 | + |
| 83 | + assert mock_produce.call_count == 1 |
| 84 | + |
| 85 | + def test_maybe_emit_issues_no_detectors(self): |
| 86 | + head_artifact = self.create_preprod_artifact(project=self.project, app_id="com.example.app") |
| 87 | + base_artifact = self.create_preprod_artifact(project=self.project, app_id="com.example.app") |
| 88 | + |
| 89 | + head_metric = self.create_preprod_artifact_size_metrics( |
| 90 | + head_artifact, |
| 91 | + metrics_type=PreprodArtifactSizeMetrics.MetricsArtifactType.MAIN_ARTIFACT, |
| 92 | + identifier=None, |
| 93 | + max_install_size=5000000, |
| 94 | + max_download_size=2000000, |
| 95 | + state=PreprodArtifactSizeMetrics.SizeAnalysisState.COMPLETED, |
| 96 | + ) |
| 97 | + |
| 98 | + base_metric = self.create_preprod_artifact_size_metrics( |
| 99 | + base_artifact, |
| 100 | + metrics_type=PreprodArtifactSizeMetrics.MetricsArtifactType.MAIN_ARTIFACT, |
| 101 | + identifier=None, |
| 102 | + max_install_size=4000000, |
| 103 | + max_download_size=1500000, |
| 104 | + state=PreprodArtifactSizeMetrics.SizeAnalysisState.COMPLETED, |
| 105 | + ) |
| 106 | + |
| 107 | + comparison_results = self._create_comparison_results() |
| 108 | + |
| 109 | + with self.feature("organizations:preprod-issues"): |
| 110 | + with patch( |
| 111 | + "sentry.workflow_engine.processors.detector.produce_occurrence_to_kafka" |
| 112 | + ) as mock_produce: |
| 113 | + maybe_emit_issues(comparison_results, head_metric, base_metric) |
| 114 | + |
| 115 | + assert mock_produce.call_count == 0 |
| 116 | + |
| 117 | + def test_maybe_emit_issues_feature_flag_disabled(self): |
| 118 | + head_artifact = self.create_preprod_artifact(project=self.project, app_id="com.example.app") |
| 119 | + base_artifact = self.create_preprod_artifact(project=self.project, app_id="com.example.app") |
| 120 | + |
| 121 | + head_metric = self.create_preprod_artifact_size_metrics( |
| 122 | + head_artifact, |
| 123 | + metrics_type=PreprodArtifactSizeMetrics.MetricsArtifactType.MAIN_ARTIFACT, |
| 124 | + identifier=None, |
| 125 | + max_install_size=5000000, |
| 126 | + max_download_size=2000000, |
| 127 | + state=PreprodArtifactSizeMetrics.SizeAnalysisState.COMPLETED, |
| 128 | + ) |
| 129 | + |
| 130 | + base_metric = self.create_preprod_artifact_size_metrics( |
| 131 | + base_artifact, |
| 132 | + metrics_type=PreprodArtifactSizeMetrics.MetricsArtifactType.MAIN_ARTIFACT, |
| 133 | + identifier=None, |
| 134 | + max_install_size=4000000, |
| 135 | + max_download_size=1500000, |
| 136 | + state=PreprodArtifactSizeMetrics.SizeAnalysisState.COMPLETED, |
| 137 | + ) |
| 138 | + |
| 139 | + comparison_results = self._create_comparison_results() |
| 140 | + |
| 141 | + with patch( |
| 142 | + "sentry.workflow_engine.processors.detector.produce_occurrence_to_kafka" |
| 143 | + ) as mock_produce: |
| 144 | + maybe_emit_issues(comparison_results, head_metric, base_metric) |
| 145 | + |
| 146 | + assert mock_produce.call_count == 0 |
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