Refactor test_chat to use pytest instead of unittest (#3484)

* refactor_for_pytest

* formatting

---------

Co-authored-by: James Collins <collijk@uw.edu>

tests/unit/test_chat.py

@@ -1,29 +1,26 @@
 # 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):
+def test_happy_path_role_content():
-    """Test the chat module functions."""
-
-    def test_happy_path_role_content(self):
     """Test that the function returns a dictionary with the correct keys and values when valid strings are provided for role and content."""
     result = create_chat_message("system", "Hello, world!")
-        self.assertEqual(result, {"role": "system", "content": "Hello, world!"})
+    assert result == {"role": "system", "content": "Hello, world!"}
 
-    def test_empty_role_content(self):
+
+def test_empty_role_content():
     """Test that the function returns a dictionary with the correct keys and values when empty strings are provided for role and content."""
     result = create_chat_message("", "")
-        self.assertEqual(result, {"role": "", "content": ""})
+    assert result == {"role": "", "content": ""}
 
-    @patch("time.strftime")
+
-    def test_generate_context_empty_inputs(self, mock_strftime):
+def test_generate_context_empty_inputs(mocker):
     """Test the behavior of the generate_context function when all input parameters are empty."""
     # Mock the time.strftime function to return a fixed value
-        mock_strftime.return_value = "Sat Apr 15 00:00:00 2023"
+    mocker.patch("time.strftime", return_value="Sat Apr 15 00:00:00 2023")
     # Arrange
     prompt = ""
     relevant_memory = ""
@@ -50,9 +47,10 @@ class TestChat(unittest.TestCase):
             },
         ],
     )
-        self.assertEqual(result, expected_result)
+    assert result == expected_result
 
-    def test_generate_context_valid_inputs(self):
+
+def test_generate_context_valid_inputs():
     """Test that the function successfully generates a current_context given valid inputs."""
     # Given
     prompt = "What is your favorite color?"
@@ -73,16 +71,12 @@ class TestChat(unittest.TestCase):
     result = generate_context(prompt, relevant_memory, full_message_history, model)
 
     # Then
-        self.assertIsInstance(result[0], int)
+    assert isinstance(result[0], int)
-        self.assertIsInstance(result[1], int)
+    assert isinstance(result[1], int)
-        self.assertIsInstance(result[2], int)
+    assert isinstance(result[2], int)
-        self.assertIsInstance(result[3], list)
+    assert isinstance(result[3], list)
-        self.assertGreaterEqual(result[0], 0)
+    assert result[0] >= 0
-        self.assertGreaterEqual(result[1], 0)
+    assert result[2] >= 0
-        self.assertGreaterEqual(result[2], 0)
+    assert result[1] >= 0
-        self.assertGreaterEqual(
+    assert len(result[3]) >= 3  # current_context should have at least 3 messages
-            len(result[3]), 3
+    assert result[1] <= 2048  # token limit for GPT-3.5-turbo-0301 is 2048 tokens
-        )  # current_context should have at least 3 messages
-        self.assertLessEqual(
-            result[1], 2048
-        )  # token limit for GPT-3.5-turbo-0301 is 2048 tokens