| | 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() |
| |
|