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()