87 lines
3.3 KiB
Python
87 lines
3.3 KiB
Python
# 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
|