Expert Instructor Coder on the GPT Store

GPT Description

GPT Prompt Starters

• Explain Test Cases
• What is the Azure OpenAI GPT-4o with Instructor Package
• prompt_template_code_rewrite
• Use Python tool and explain `instructor_testor.py` Here is the script ``` import os import unittest from unittest.mock import patch, MagicMock from openai import AzureOpenAI import instructor from pydantic import BaseModel, Field from dotenv import load_dotenv # Load environment variables load_dotenv() # Define the models as per the original script class CodeSnippet(BaseModel): language: str code: str explanation: str class CodingAssistant(BaseModel): task: str solution: CodeSnippet additional_notes: str = Field(default="") # Define the function to be tested as per the original script def get_coding_solution(task: str) -> CodingAssistant: # Fetching environment variables endpoint = os.getenv("AZURE_OPENAI_ENDPOINT") key = os.getenv("AZURE_OPENAI_API_KEY") version = os.getenv("AZURE_OPENAI_API_VERSION") deployment = os.getenv("CHAT_COMPLETIONS_DEPLOYMENT_NAME") # Initialize AzureOpenAI client client = AzureOpenAI( azure_endpoint=endpoint, api_key=key, api_version=version ) # Patch the client with instructor instructor_client = instructor.patch(client) response = instructor_client.chat.completions.create( model=deployment, response_model=CodingAssistant, messages=[ {"role": "system", "content": "You are an expert coding assistant."}, {"role": "user", "content": f"Provide a solution for the following coding task: {task}"} ] ) return response # Test case class class TestCodingAssistant(unittest.TestCase): @patch('instructor.patch') @patch('openai.AzureOpenAI') def test_valid_coding_solution(self, MockAzureOpenAI, MockInstructorPatch): # Mock environment variables os.environ['AZURE_OPENAI_API_KEY'] = 'fake-api-key' os.environ['AZURE_OPENAI_ENDPOINT'] = 'https://fake-endpoint' os.environ['AZURE_OPENAI_API_VERSION'] = '2024-02-01' os.environ['CHAT_COMPLETIONS_DEPLOYMENT_NAME'] = 'fake-deployment-name' # Set up mocks mock_client = MagicMock() MockAzureOpenAI.return_value = mock_client mock_instructor_client = MagicMock() MockInstructorPatch.return_value = mock_instructor_client # Mock response from the chat completions.create method mock_response = CodingAssistant( task="Write a Python function to find the nth Fibonacci number using recursion.", solution=CodeSnippet( language="Python", code="def fibonacci(n):\n if n <= 0:\n return 0\n elif n == 1:\n return 1\n else:\n return fibonacci(n-1) + fibonacci(n-2)", explanation="This function uses recursion to compute the nth Fibonacci number." ), additional_notes="Ensure to handle large values of n carefully due to recursion limits." ) mock_instructor_client.chat.completions.create.return_value = mock_response # Call the function to be tested result = get_coding_solution("Write a Python function to find the nth Fibonacci number using recursion.") # Assertions self.assertEqual(result.task, mock_response.task) self.assertEqual(result.solution.language, mock_response.solution.language) self.assertEqual(result.solution.code, mock_response.solution.code) self.assertEqual(result.solution.explanation, mock_response.solution.explanation) self.assertEqual(result.additional_notes, mock_response.additional_notes) @patch('instructor.patch') @patch('openai.AzureOpenAI') def test_invalid_task_input(self, MockAzureOpenAI, MockInstructorPatch): # Mock environment variables os.environ['AZURE_OPENAI_API_KEY'] = 'fake-api-key' os.environ['AZURE_OPENAI_ENDPOINT'] = 'https://fake-endpoint' os.environ['AZURE_OPENAI_API_VERSION'] = '2024-02-01' os.environ['CHAT_COMPLETIONS_DEPLOYMENT_NAME'] = 'fake-deployment-name' # Set up mocks mock_client = MagicMock() MockAzureOpenAI.return_value = mock_client mock_instructor_client = MagicMock() MockInstructorPatch.return_value = mock_instructor_client # Mock response for invalid input mock_instructor_client.chat.completions.create.side_effect = ValueError("Invalid task input") # Call the function to be tested with self.assertRaises(ValueError): get_coding_solution("") @patch('instructor.patch') @patch('openai.AzureOpenAI') def test_different_coding_task(self, MockAzureOpenAI, MockInstructorPatch): # Mock environment variables os.environ['AZURE_OPENAI_API_KEY'] = 'fake-api-key' os.environ['AZURE_OPENAI_ENDPOINT'] = 'https://fake-endpoint' os.environ['AZURE_OPENAI_API_VERSION'] = '2024-02-01' os.environ['CHAT_COMPLETIONS_DEPLOYMENT_NAME'] = 'fake-deployment-name' # Set up mocks mock_client = MagicMock() MockAzureOpenAI.return_value = mock_client mock_instructor_client = MagicMock() MockInstructorPatch.return_value = mock_instructor_client # Mock response from the chat completions.create method mock_response = CodingAssistant( task="Write a Python function to sort a list of integers using bubble sort.", solution=CodeSnippet( language="Python", code="def bubble_sort(arr):\n n = len(arr)\n for i in range(n):\n for j in range(0, n-i-1):\n if arr[j] > arr[j+1]:\n arr[j], arr[j+1] = arr[j+1], arr[j]", explanation="This function sorts a list of integers using the bubble sort algorithm." ), additional_notes="This implementation is straightforward but not the most efficient for large lists." ) mock_instructor_client.chat.completions.create.return_value = mock_response # Call the function to be tested result = get_coding_solution("Write a Python function to sort a list of integers using bubble sort.") # Assertions self.assertEqual(result.task, mock_response.task) self.assertEqual(result.solution.language, mock_response.solution.language) self.assertEqual(result.solution.code, mock_response.solution.code) self.assertEqual(result.solution.explanation, mock_response.solution.explanation) self.assertEqual(result.additional_notes, mock_response.additional_notes) @patch('instructor.patch') @patch('openai.AzureOpenAI') def test_api_error_handling(self, MockAzureOpenAI, MockInstructorPatch): # Mock environment variables os.environ['AZURE_OPENAI_API_KEY'] = 'fake-api-key' os.environ['AZURE_OPENAI_ENDPOINT'] = 'https://fake-endpoint' os.environ['AZURE_OPENAI_API_VERSION'] = '2024-02-01' os.environ['CHAT_COMPLETIONS_DEPLOYMENT_NAME'] = 'fake-deployment-name' # Set up mocks mock_client = MagicMock() MockAzureOpenAI.return_value = mock_client mock_instructor_client = MagicMock() MockInstructorPatch.return_value = mock_instructor_client # Mock API error response mock_instructor_client.chat.completions.create.side_effect = Exception("API Error") # Call the function to be tested with self.assertRaises(Exception): get_coding_solution("Write a Python function to find the nth Fibonacci number using recursion.") # Run the test if __name__ == '__main__': unittest.main()```