update: Added test case for discourse query engine preparation!

tests/unit/test_prepare_discourse_query_engine.py

@@ -0,0 +1,50 @@
+import os
+import unittest
+
+from llama_index.core.base_query_engine import BaseQueryEngine
+from llama_index.vector_stores import ExactMatchFilter, FilterCondition, MetadataFilters
+from utils.query_engine.discourse_query_engine import prepare_discourse_engine
+
+
+class TestPrepareDiscordEngine(unittest.TestCase):
+    def setUp(self):
+        # Set up environment variables for testing
+        os.environ["CHUNK_SIZE"] = "128"
+        os.environ["EMBEDDING_DIM"] = "256"
+        os.environ["K1_RETRIEVER_SEARCH"] = "20"
+        os.environ["K2_RETRIEVER_SEARCH"] = "5"
+        os.environ["D_RETRIEVER_SEARCH"] = "3"
+
+    def test_prepare_discord_engine(self):
+        community_id = "123456"
+        topic_names = ["topic1", "topic2"]
+        category_names = ["category1", "category2"]
+        days = ["2022-01-01", "2022-01-02"]
+
+        # Call the function
+        query_engine = prepare_discourse_engine(
+            community_id=community_id,
+            category_names=category_names,
+            topic_names=topic_names,
+            days=days,
+            testing=True,
+        )
+
+        # Assertions
+        self.assertIsInstance(query_engine, BaseQueryEngine)
+
+        expected_filter = MetadataFilters(
+            filters=[
+                ExactMatchFilter(key="category", value="category1"),
+                ExactMatchFilter(key="category", value="category2"),
+                ExactMatchFilter(key="topic", value="topic1"),
+                ExactMatchFilter(key="topic", value="topic2"),
+                ExactMatchFilter(key="date", value="2022-01-01"),
+                ExactMatchFilter(key="date", value="2022-01-02"),
+            ],
+            condition=FilterCondition.OR,
+        )
+
+        self.assertEqual(query_engine.retriever._filters, expected_filter)
+        # this is the secondary search, so K2 should be for this
+        self.assertEqual(query_engine.retriever._similarity_top_k, 5)