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Merge pull request #1700 from OmriGM/tests/chat-tests
Added tests for `create_chat_message` and `generate_context` methods of the chat module
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70
tests/unit/test_chat.py
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70
tests/unit/test_chat.py
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# Generated by CodiumAI
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import unittest
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import time
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from unittest.mock import patch
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from autogpt.chat import create_chat_message, generate_context
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class TestChat(unittest.TestCase):
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# Tests that the function returns a dictionary with the correct keys and values when valid strings are provided for role and content.
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def test_happy_path_role_content(self):
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result = create_chat_message("system", "Hello, world!")
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self.assertEqual(result, {"role": "system", "content": "Hello, world!"})
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# Tests that the function returns a dictionary with the correct keys and values when empty strings are provided for role and content.
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def test_empty_role_content(self):
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result = create_chat_message("", "")
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self.assertEqual(result, {"role": "", "content": ""})
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# Tests the behavior of the generate_context function when all input parameters are empty.
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@patch("time.strftime")
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def test_generate_context_empty_inputs(self, mock_strftime):
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# Mock the time.strftime function to return a fixed value
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mock_strftime.return_value = "Sat Apr 15 00:00:00 2023"
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# Arrange
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prompt = ""
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relevant_memory = ""
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full_message_history = []
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model = "gpt-3.5-turbo-0301"
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# Act
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result = generate_context(prompt, relevant_memory, full_message_history, model)
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# Assert
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expected_result = (-1, 47, 3, [
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{"role": "system", "content": ""},
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{"role": "system", "content": f"The current time and date is {time.strftime('%c')}"},
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{"role": "system", "content": f"This reminds you of these events from your past:\n\n\n"},
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])
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self.assertEqual(result, expected_result)
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# Tests that the function successfully generates a current_context given valid inputs.
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def test_generate_context_valid_inputs(self):
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# Given
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prompt = "What is your favorite color?"
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relevant_memory = "You once painted your room blue."
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full_message_history = [
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create_chat_message("user", "Hi there!"),
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create_chat_message("assistant", "Hello! How can I assist you today?"),
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create_chat_message("user", "Can you tell me a joke?"),
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create_chat_message("assistant", "Why did the tomato turn red? Because it saw the salad dressing!"),
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create_chat_message("user", "Haha, that's funny."),
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]
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model = "gpt-3.5-turbo-0301"
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# When
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result = generate_context(prompt, relevant_memory, full_message_history, model)
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# Then
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self.assertIsInstance(result[0], int)
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self.assertIsInstance(result[1], int)
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self.assertIsInstance(result[2], int)
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self.assertIsInstance(result[3], list)
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self.assertGreaterEqual(result[0], 0)
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self.assertGreaterEqual(result[1], 0)
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self.assertGreaterEqual(result[2], 0)
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self.assertGreaterEqual(len(result[3]), 3) # current_context should have at least 3 messages
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self.assertLessEqual(result[1], 2048) # token limit for GPT-3.5-turbo-0301 is 2048 tokens
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