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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.
@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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