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Merge pull request #1700 from OmriGM/tests/chat-tests
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Added tests for `create_chat_message` and `generate_context` methods of the chat module
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richbeales authored Apr 16, 2023
2 parents c5f513a + 5495d6c commit f048f88
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70 changes: 70 additions & 0 deletions tests/unit/test_chat.py
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# Generated by CodiumAI
import unittest
import time
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.
@patch("time.strftime")
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

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