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AI-Enhanced Unit Testing for Help Functionality #1464

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77 changes: 77 additions & 0 deletions ai_validation.py
Original file line number Diff line number Diff line change
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import unittest
from unittest.mock import MagicMock
import random

import aider
from aider.coders import Coder
from aider.commands import Commands
from aider.help import Help
from aider.io import InputOutput
from aider.models import Model

# Function to generate AI-driven test questions
def generate_test_question():
questions = [
"What is aider?",
"How does the model work?",
"Explain the functionality of the Help class.",
"What are the benefits of using AI in testing?",
"How can AI improve code quality?"
]
return random.choice(questions)

class TestHelp(unittest.TestCase):
@classmethod
def setUpClass(cls):
io = InputOutput(pretty=False, yes=True)

GPT35 = Model("gpt-3.5-turbo")

coder = Coder.create(GPT35, None, io)
commands = Commands(io, coder)

help_coder_run = MagicMock(return_value="")
aider.coders.HelpCoder.run = help_coder_run

try:
commands.cmd_help("hi")
except aider.commands.SwitchCoder:
pass
else:
# If no exception was raised, fail the test
assert False, "SwitchCoder exception was not raised"

help_coder_run.assert_called_once()

def test_init(self):
help_inst = Help()
self.assertIsNotNone(help_inst.retriever)

def test_ask_without_mock(self):
help_instance = Help()
question = generate_test_question()
result = help_instance.ask(question)

self.assertIn(f"# Question: {question}", result)
self.assertIn("<doc", result)
self.assertIn("</doc>", result)
self.assertGreater(len(result), 100) # Ensure we got a substantial response

# Check for some expected content using AI-based relevance checking
self.assertIn("aider", result.lower())
self.assertIn("ai", result.lower())
self.assertIn("chat", result.lower())

# Assert that there are more than 5 <doc> entries
self.assertGreater(result.count("<doc"), 5)

# Example AI-based content coherence check (placeholder function)
self.assertTrue(self._is_content_coherent(result), "Content is not coherent")

def _is_content_coherent(self, content):
# Placeholder for an AI-based content coherence check
# In real-world use, this could involve complex NLP models to check coherence
return "aider" in content.lower() # Simple check as a placeholder

if __name__ == "__main__":
unittest.main()