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89 lines
3.4 KiB
Python
89 lines
3.4 KiB
Python
# Generated by CodiumAI
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import time
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import unittest
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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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"""Test the chat module functions."""
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def test_happy_path_role_content(self):
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"""Test 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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result = create_chat_message("system", "Hello, world!")
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self.assertEqual(result, {"role": "system", "content": "Hello, world!"})
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def test_empty_role_content(self):
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"""Test 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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result = create_chat_message("", "")
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self.assertEqual(result, {"role": "", "content": ""})
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@patch("time.strftime")
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def test_generate_context_empty_inputs(self, mock_strftime):
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"""Test the behavior of the generate_context function when all input parameters are empty."""
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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 = (
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-1,
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47,
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3,
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[
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{"role": "system", "content": ""},
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{
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"role": "system",
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"content": f"The current time and date is {time.strftime('%c')}",
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},
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{
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"role": "system",
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"content": f"This reminds you of these events from your past:\n\n\n",
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},
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],
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)
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self.assertEqual(result, expected_result)
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def test_generate_context_valid_inputs(self):
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"""Test that the function successfully generates a current_context given valid inputs."""
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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(
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"assistant",
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"Why did the tomato turn red? Because it saw the salad dressing!",
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),
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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(
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len(result[3]), 3
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) # current_context should have at least 3 messages
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self.assertLessEqual(
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result[1], 2048
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) # token limit for GPT-3.5-turbo-0301 is 2048 tokens
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