Fix Milvus as a long-term memory backend.

tests/integration/milvus_memory_tests.py

@@ -0,0 +1,48 @@
+import random
+import string
+import unittest
+
+from autogpt.config import Config
+from autogpt.memory.milvus import MilvusMemory
+
+
+class TestMilvusMemory(unittest.TestCase):
+    def random_string(self, length):
+        return "".join(random.choice(string.ascii_letters) for _ in range(length))
+
+    def setUp(self):
+        cfg = Config()
+        cfg.milvus_addr = "localhost:19530"
+        self.memory = MilvusMemory(cfg)
+        self.memory.clear()
+
+        # Add example texts to the cache
+        self.example_texts = [
+            "The quick brown fox jumps over the lazy dog",
+            "I love machine learning and natural language processing",
+            "The cake is a lie, but the pie is always true",
+            "ChatGPT is an advanced AI model for conversation",
+        ]
+
+        for text in self.example_texts:
+            self.memory.add(text)
+
+        # Add some random strings to test noise
+        for _ in range(5):
+            self.memory.add(self.random_string(10))
+
+    def test_get_relevant(self):
+        query = "I'm interested in artificial intelligence and NLP"
+        k = 3
+        relevant_texts = self.memory.get_relevant(query, k)
+
+        print(f"Top {k} relevant texts for the query '{query}':")
+        for i, text in enumerate(relevant_texts, start=1):
+            print(f"{i}. {text}")
+
+        self.assertEqual(len(relevant_texts), k)
+        self.assertIn(self.example_texts[1], relevant_texts)
+
+
+if __name__ == "__main__":
+    unittest.main()