Merge pull request #896 from kbaah/kwabena_bootcamp_week4
Kwabena Bootcamp Week 4
This commit is contained in:
Ed Donner
GitHub
294
week4/community-contributions/kwabena/unit_test_writer.ipynb
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294
week4/community-contributions/kwabena/unit_test_writer.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "50bd7e7c",
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"metadata": {},
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"source": [
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"# Unit Test Writer"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ad339d11",
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"metadata": {},
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"source": [
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"### Welcome to the Unit Test Writer - an AI-powered tool that automatically generates comprehensive unit tests for your code across multiple programming languages. Simply paste your code, select your language, and let AI create thorough test suites in seconds!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "27e4e719",
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"metadata": {},
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"outputs": [],
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"source": [
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"# imports\n",
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"\n",
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"import os\n",
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"import io\n",
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"import sys\n",
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"from dotenv import load_dotenv\n",
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"from openai import OpenAI\n",
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"import gradio as gr\n",
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"import subprocess\n",
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"from IPython.display import Markdown, display"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3572f5fa",
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"metadata": {},
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"outputs": [],
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"source": [
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"load_dotenv(override=True)\n",
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"openai_api_key = os.getenv('OPENAI_API_KEY')\n",
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"anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n",
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"google_api_key = os.getenv('GOOGLE_API_KEY')\n",
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"grok_api_key = os.getenv('GROK_API_KEY')\n",
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"groq_api_key = os.getenv('GROQ_API_KEY')\n",
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"openrouter_api_key = os.getenv('OPENROUTER_API_KEY')\n",
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"\n",
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"if openai_api_key:\n",
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" print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n",
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"else:\n",
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" print(\"OpenAI API Key not set\")\n",
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" \n",
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"if anthropic_api_key:\n",
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" print(f\"Anthropic API Key exists and begins {anthropic_api_key[:7]}\")\n",
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"else:\n",
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" print(\"Anthropic API Key not set (and this is optional)\")\n",
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"\n",
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"if google_api_key:\n",
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" print(f\"Google API Key exists and begins {google_api_key[:2]}\")\n",
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"else:\n",
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" print(\"Google API Key not set (and this is optional)\")\n",
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"\n",
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"if grok_api_key:\n",
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" print(f\"Grok API Key exists and begins {grok_api_key[:4]}\")\n",
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"else:\n",
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" print(\"Grok API Key not set (and this is optional)\")\n",
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"\n",
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"if groq_api_key:\n",
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" print(f\"Groq API Key exists and begins {groq_api_key[:4]}\")\n",
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"else:\n",
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" print(\"Groq API Key not set (and this is optional)\")\n",
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"\n",
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"if openrouter_api_key:\n",
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" print(f\"OpenRouter API Key exists and begins {openrouter_api_key[:6]}\")\n",
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"else:\n",
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" print(\"OpenRouter API Key not set (and this is optional)\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "05293821",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Connect to client libraries\n",
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"\n",
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"openai = OpenAI()\n",
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"\n",
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"anthropic_url = \"https://api.anthropic.com/v1/\"\n",
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"gemini_url = \"https://generativelanguage.googleapis.com/v1beta/openai/\"\n",
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"grok_url = \"https://api.x.ai/v1\"\n",
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"groq_url = \"https://api.groq.com/openai/v1\"\n",
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"ollama_url = \"http://localhost:11434/v1\"\n",
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"openrouter_url = \"https://openrouter.ai/api/v1\"\n",
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"\n",
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"anthropic = OpenAI(api_key=anthropic_api_key, base_url=anthropic_url)\n",
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"gemini = OpenAI(api_key=google_api_key, base_url=gemini_url)\n",
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"grok = OpenAI(api_key=grok_api_key, base_url=grok_url)\n",
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"groq = OpenAI(api_key=groq_api_key, base_url=groq_url)\n",
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"ollama = OpenAI(api_key=\"ollama\", base_url=ollama_url)\n",
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"openrouter = OpenAI(api_key=openrouter_api_key, base_url=openrouter_url)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "41eec7d3",
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"metadata": {},
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"outputs": [],
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"source": [
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"models = [\"gpt-5\", \"claude-sonnet-4-5-20250929\", \"grok-4\", \"gemini-2.5-pro\", \"qwen2.5-coder\", \"deepseek-coder-v2\", \"gpt-oss:20b\", \"qwen/qwen3-coder-30b-a3b-instruct\", \"openai/gpt-oss-120b\", ]\n",
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"\n",
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"clients = {\"gpt-5\": openai, \"claude-sonnet-4-5-20250929\": anthropic, \"grok-4\": grok, \"gemini-2.5-pro\": gemini, \"openai/gpt-oss-120b\": groq, \"qwen2.5-coder\": ollama, \"deepseek-coder-v2\": ollama, \"gpt-oss:20b\": ollama, \"qwen/qwen3-coder-30b-a3b-instruct\": openrouter}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "05ca8fcc",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Function to generate unit tests\n",
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"def generate_unit_tests(code, language, model_name):\n",
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" \"\"\"Generate unit tests for the provided code\"\"\"\n",
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" \n",
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" if not code.strip():\n",
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" return \"Please provide some code to generate tests for.\"\n",
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" \n",
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" # Select the appropriate client\n",
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" client = clients.get(model_name, openai)\n",
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" \n",
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" # Create the prompt based on language\n",
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" test_frameworks = {\n",
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" \"Python\": \"pytest\",\n",
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" \"JavaScript\": \"Jest\",\n",
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" \"TypeScript\": \"Jest\",\n",
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" \"Java\": \"JUnit\",\n",
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" \"C#\": \"NUnit\",\n",
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" \"Go\": \"testing package\",\n",
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" \"Ruby\": \"RSpec\",\n",
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" \"PHP\": \"PHPUnit\",\n",
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" \"Rust\": \"built-in test framework\"\n",
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" }\n",
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" \n",
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" framework = test_frameworks.get(language, \"appropriate testing framework\")\n",
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" \n",
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" prompt = f\"\"\"You are a unit test expert. Generate comprehensive unit tests for the following {language} code using {framework}.\n",
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"\n",
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" Code to test:\n",
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" ```{language.lower()}\n",
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" {code}\n",
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" ```\n",
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"\n",
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" Requirements:\n",
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" - Create thorough unit tests covering normal cases, edge cases, and error cases\n",
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" - Use {framework} syntax and best practices\n",
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" - Include clear test names that describe what is being tested\n",
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" - Add comments explaining complex test scenarios\n",
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" - Ensure tests are independent and can run in any order\n",
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"\n",
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" Provide ONLY the test code, no explanations.\"\"\"\n",
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"\n",
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" try:\n",
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" # Call the API\n",
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" response = client.chat.completions.create(\n",
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" model=model_name,\n",
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" messages=[\n",
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" {\"role\": \"user\", \"content\": prompt}\n",
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" ],\n",
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" temperature=0.7,\n",
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" )\n",
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" \n",
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" return response.choices[0].message.content\n",
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" \n",
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" except Exception as e:\n",
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" return f\"Error generating tests: {str(e)}\"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d51e13d3",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Create Gradio interface\n",
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"def create_interface():\n",
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" with gr.Blocks(title=\"Unit Test Generator\") as demo:\n",
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" gr.Markdown(\"# 🧪 Unit Test Generator\")\n",
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" gr.Markdown(\"Paste your code, select the language, and generate comprehensive unit tests!\")\n",
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" \n",
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" with gr.Row():\n",
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" with gr.Column():\n",
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" code_input = gr.TextArea(\n",
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" label=\"Your Code\",\n",
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" placeholder=\"Paste your code here...\",\n",
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" lines=15\n",
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" )\n",
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" \n",
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" with gr.Row():\n",
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" language_dropdown = gr.Dropdown(\n",
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" choices=[\"Python\", \"JavaScript\", \"TypeScript\", \"Java\", \"C#\", \"Go\", \"Ruby\", \"PHP\", \"Rust\"],\n",
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" value=\"Python\",\n",
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" label=\"Language\"\n",
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" )\n",
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" \n",
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" model_dropdown = gr.Dropdown(\n",
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" choices=models,\n",
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" value=\"gpt-5\",\n",
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" label=\"Model\"\n",
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" )\n",
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" \n",
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" generate_btn = gr.Button(\"Generate Unit Tests\", variant=\"primary\")\n",
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" \n",
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" with gr.Column():\n",
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" output = gr.TextArea(\n",
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" label=\"Generated Unit Tests\",\n",
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" lines=15\n",
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" )\n",
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" \n",
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" # Example\n",
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" gr.Markdown(\"### Example\")\n",
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" gr.Examples(\n",
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" examples=[\n",
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" [\"\"\"def add(a, b):\n",
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" return a + b\n",
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"\n",
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"def multiply(a, b):\n",
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" return a * b\n",
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"\n",
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"def divide(a, b):\n",
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" if b == 0:\n",
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" raise ValueError(\"Cannot divide by zero\")\n",
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" return a / b\"\"\", \"Python\", \"gpt-5\"],\n",
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" [\"\"\"function isPalindrome(str) {\n",
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" const cleaned = str.toLowerCase().replace(/[^a-z0-9]/g, '');\n",
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" return cleaned === cleaned.split('').reverse().join('');\n",
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"}\"\"\", \"JavaScript\", \"gpt-5\"]\n",
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" ],\n",
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" inputs=[code_input, language_dropdown, model_dropdown]\n",
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" )\n",
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" \n",
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" # Connect the button\n",
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" generate_btn.click(\n",
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" fn=generate_unit_tests,\n",
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" inputs=[code_input, language_dropdown, model_dropdown],\n",
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" outputs=output\n",
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" )\n",
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" \n",
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" return demo"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d8eff8ac",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Launch the interface\n",
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"demo = create_interface()\n",
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"demo.launch(share=False)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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