add get_seer_similar_issues tests

tests/sentry/grouping/test_seer.py

@@ -1,8 +1,16 @@
+from dataclasses import asdict
+from unittest.mock import patch
+
+from sentry.conf.server import SEER_SIMILARITY_MODEL_VERSION
 from sentry.eventstore.models import Event
-from sentry.grouping.ingest.seer import should_call_seer_for_grouping
+from sentry.grouping.ingest.seer import get_seer_similar_issues, should_call_seer_for_grouping
+from sentry.grouping.result import CalculatedHashes
+from sentry.seer.utils import SeerSimilarIssueData
 from sentry.testutils.cases import TestCase
 from sentry.testutils.helpers import Feature
+from sentry.testutils.helpers.eventprocessing import save_new_event
 from sentry.testutils.helpers.features import with_feature
+from sentry.utils.types import NonNone
 
 
 class ShouldCallSeerTest(TestCase):
@@ -46,3 +54,108 @@ def test_says_no_for_garbage_event(self):
             )
             is False
         )
+
+
+class GetSeerSimilarIssuesTest(TestCase):
+    def setUp(self):
+        self.existing_event = save_new_event({"message": "Dogs are great!"}, self.project)
+        self.new_event = Event(
+            project_id=self.project.id,
+            event_id="11212012123120120415201309082013",
+            data={"message": "Adopt don't shop"},
+        )
+        self.new_event_hashes = CalculatedHashes(
+            hashes=["20130809201315042012311220122111"],
+            hierarchical_hashes=[],
+            tree_labels=[],
+            variants={},
+        )
+
+    @with_feature({"projects:similarity-embeddings-grouping": False})
+    def test_returns_metadata_but_no_group_if_seer_grouping_flag_off(self):
+        seer_result_data = SeerSimilarIssueData(
+            parent_hash=self.existing_event.get_primary_hash(),
+            parent_group_id=NonNone(self.existing_event.group_id),
+            stacktrace_distance=0.01,
+            message_distance=0.05,
+            should_group=True,
+        )
+        expected_metadata = {
+            "similarity_model_version": SEER_SIMILARITY_MODEL_VERSION,
+            "request_hash": self.new_event_hashes.hashes[0],
+            "results": [asdict(seer_result_data)],
+        }
+
+        with patch(
+            "sentry.grouping.ingest.seer.get_similarity_data_from_seer",
+            return_value=[seer_result_data],
+        ):
+            assert get_seer_similar_issues(self.new_event, self.new_event_hashes) == (
+                expected_metadata,
+                None,  # No group returned, even though `should_group` is True
+            )
+
+    @with_feature("projects:similarity-embeddings-grouping")
+    def test_returns_metadata_and_group_if_sufficiently_close_group_found(self):
+        seer_result_data = SeerSimilarIssueData(
+            parent_hash=self.existing_event.get_primary_hash(),
+            parent_group_id=NonNone(self.existing_event.group_id),
+            stacktrace_distance=0.01,
+            message_distance=0.05,
+            should_group=True,
+        )
+        expected_metadata = {
+            "similarity_model_version": SEER_SIMILARITY_MODEL_VERSION,
+            "request_hash": self.new_event_hashes.hashes[0],
+            "results": [asdict(seer_result_data)],
+        }
+
+        with patch(
+            "sentry.grouping.ingest.seer.get_similarity_data_from_seer",
+            return_value=[seer_result_data],
+        ):
+            assert get_seer_similar_issues(self.new_event, self.new_event_hashes) == (
+                expected_metadata,
+                self.existing_event.group,
+            )
+
+    @with_feature("projects:similarity-embeddings-grouping")
+    def test_returns_metadata_but_no_group_if_similar_group_insufficiently_close(self):
+        seer_result_data = SeerSimilarIssueData(
+            parent_hash=self.existing_event.get_primary_hash(),
+            parent_group_id=NonNone(self.existing_event.group_id),
+            stacktrace_distance=0.08,
+            message_distance=0.12,
+            should_group=False,
+        )
+        expected_metadata = {
+            "similarity_model_version": SEER_SIMILARITY_MODEL_VERSION,
+            "request_hash": self.new_event_hashes.hashes[0],
+            "results": [asdict(seer_result_data)],
+        }
+
+        with patch(
+            "sentry.grouping.ingest.seer.get_similarity_data_from_seer",
+            return_value=[seer_result_data],
+        ):
+            assert get_seer_similar_issues(self.new_event, self.new_event_hashes) == (
+                expected_metadata,
+                None,
+            )
+
+    @with_feature("projects:similarity-embeddings-grouping")
+    def test_returns_no_group_and_empty_metadata_if_no_similar_group_found(self):
+        expected_metadata = {
+            "similarity_model_version": SEER_SIMILARITY_MODEL_VERSION,
+            "request_hash": self.new_event_hashes.hashes[0],
+            "results": [],
+        }
+
+        with patch(
+            "sentry.grouping.ingest.seer.get_similarity_data_from_seer",
+            return_value=[],
+        ):
+            assert get_seer_similar_issues(self.new_event, self.new_event_hashes) == (
+                expected_metadata,
+                None,
+            )