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# sourcery skip: snake-case-functions | |
"""Tests for the MilvusMemory class.""" | |
import random | |
import string | |
import unittest | |
from autogpt.config import Config | |
from autogpt.memory.milvus import MilvusMemory | |
try: | |
class TestMilvusMemory(unittest.TestCase): | |
"""Tests for the MilvusMemory class.""" | |
def random_string(self, length: int) -> str: | |
"""Generate a random string of the given length.""" | |
return "".join(random.choice(string.ascii_letters) for _ in range(length)) | |
def setUp(self) -> None: | |
"""Set up the test environment.""" | |
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) -> None: | |
"""Test getting relevant texts from the cache.""" | |
query = "I'm interested in artificial intelligence and NLP" | |
num_relevant = 3 | |
relevant_texts = self.memory.get_relevant(query, num_relevant) | |
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) | |
except: | |
print( | |
"Skipping tests/integration/milvus_memory_tests.py as Milvus is not installed." | |
) | |