Docker Diagnostic Tool Integrated with ChatGPT

fix-my-system.py

import subprocess
import re
import openai
openai.api_key = "sk-peVXXXXXXXg8PPY0QuCYKPT"

def run_diagnose_tool():
    # Run the Docker Desktop self-diagnose tool and capture the output
    tool_location = "/Applications/Docker.app/Contents/MacOS/com.docker.diagnose"
    result = subprocess.run([tool_location, "check"], stdout=subprocess.PIPE)
    output = result.stdout.decode()

    # Extract the results from the output
    pattern = r"\[\s*(\w+)\s*\]\s*(\w+)"
    matches = re.findall(pattern, output)

    # Convert the results to a dictionary
    results = {}
    for match in matches:
        status = match[0]
        check_name = match[1]
        if status == "PASS":
            results[check_name] = True
        else:
            results[check_name] = False

    return results

def analyze_results(results):
    # Use ChatGPT to analyze the results and provide recommendations
    for check_name, status in results.items():
        if not status:
            prompt = f"I see that {check_name} has failed. What should the user do?"
            response = openai.Completion.create(
                engine="davinci",
                prompt=prompt,
                max_tokens=50,
                n=1,
                stop=None,
                temperature=0.5
            )
            recommendation = response.choices[0].text.strip()
            print(f"{check_name} has failed. Recommendation: {recommendation}")

if __name__ == "__main__":
    results = run_diagnose_tool()
    analyze_results(results)