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| # Generated by CodiumAI | |
| import time | |
| import unittest | |
| from unittest.mock import patch | |
| from autogpt.chat import create_chat_message, generate_context | |
| class TestChat(unittest.TestCase): | |
| # Tests that the function returns a dictionary with the correct keys and values when valid strings are provided for role and content. | |
| def test_happy_path_role_content(self): | |
| result = create_chat_message("system", "Hello, world!") | |
| self.assertEqual(result, {"role": "system", "content": "Hello, world!"}) | |
| # Tests that the function returns a dictionary with the correct keys and values when empty strings are provided for role and content. | |
| def test_empty_role_content(self): | |
| result = create_chat_message("", "") | |
| self.assertEqual(result, {"role": "", "content": ""}) | |
| # Tests the behavior of the generate_context function when all input parameters are empty. | |
| def test_generate_context_empty_inputs(self, mock_strftime): | |
| # Mock the time.strftime function to return a fixed value | |
| mock_strftime.return_value = "Sat Apr 15 00:00:00 2023" | |
| # Arrange | |
| prompt = "" | |
| relevant_memory = "" | |
| full_message_history = [] | |
| model = "gpt-3.5-turbo-0301" | |
| # Act | |
| result = generate_context(prompt, relevant_memory, full_message_history, model) | |
| # Assert | |
| expected_result = ( | |
| -1, | |
| 47, | |
| 3, | |
| [ | |
| {"role": "system", "content": ""}, | |
| { | |
| "role": "system", | |
| "content": f"The current time and date is {time.strftime('%c')}", | |
| }, | |
| { | |
| "role": "system", | |
| "content": f"This reminds you of these events from your past:\n\n\n", | |
| }, | |
| ], | |
| ) | |
| self.assertEqual(result, expected_result) | |
| # Tests that the function successfully generates a current_context given valid inputs. | |
| def test_generate_context_valid_inputs(self): | |
| # Given | |
| prompt = "What is your favorite color?" | |
| relevant_memory = "You once painted your room blue." | |
| full_message_history = [ | |
| create_chat_message("user", "Hi there!"), | |
| create_chat_message("assistant", "Hello! How can I assist you today?"), | |
| create_chat_message("user", "Can you tell me a joke?"), | |
| create_chat_message( | |
| "assistant", | |
| "Why did the tomato turn red? Because it saw the salad dressing!", | |
| ), | |
| create_chat_message("user", "Haha, that's funny."), | |
| ] | |
| model = "gpt-3.5-turbo-0301" | |
| # When | |
| result = generate_context(prompt, relevant_memory, full_message_history, model) | |
| # Then | |
| self.assertIsInstance(result[0], int) | |
| self.assertIsInstance(result[1], int) | |
| self.assertIsInstance(result[2], int) | |
| self.assertIsInstance(result[3], list) | |
| self.assertGreaterEqual(result[0], 0) | |
| self.assertGreaterEqual(result[1], 0) | |
| self.assertGreaterEqual(result[2], 0) | |
| self.assertGreaterEqual( | |
| len(result[3]), 3 | |
| ) # current_context should have at least 3 messages | |
| self.assertLessEqual( | |
| result[1], 2048 | |
| ) # token limit for GPT-3.5-turbo-0301 is 2048 tokens | |