| import random |
| import string |
| import sys |
| import unittest |
| from pathlib import Path |
|
|
| from autogpt.config import Config |
| from autogpt.memory.local import LocalCache |
|
|
|
|
| class TestLocalCache(unittest.TestCase): |
| def random_string(self, length): |
| return "".join(random.choice(string.ascii_letters) for _ in range(length)) |
|
|
| def setUp(self): |
| cfg = cfg = Config() |
| self.cache = LocalCache(cfg) |
| self.cache.clear() |
|
|
| |
| 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.cache.add(text) |
|
|
| |
| for _ in range(5): |
| self.cache.add(self.random_string(10)) |
|
|
| def test_get_relevant(self): |
| query = "I'm interested in artificial intelligence and NLP" |
| k = 3 |
| relevant_texts = self.cache.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() |
|
|