ai-python-wolverine/wolverine.py

import difflib
import fire
import json
import os
import shutil
import subprocess
import sys
import openai
from termcolor import cprint

# Load the OpenAI API key
def load_openai_key():
    with open("openai_key.txt") as f:
        return f.read().strip()

# Run the provided script and return the output and return code
def run_script(script_name, script_args):
    script_args = [str(arg) for arg in script_args]
    try:
        result = subprocess.check_output(
            [sys.executable, script_name, *script_args], stderr=subprocess.STDOUT
        )
    except subprocess.CalledProcessError as e:
        return e.output.decode("utf-8"), e.returncode
    return result.decode("utf-8"), 0

# Send the error to GPT and receive suggestions
def send_error_to_gpt(file_path, args, error_message, model, prompt_length_limit=4096):
    with open(file_path, "r") as f:
        file_lines = f.readlines()

    file_with_lines = []
    for i, line in enumerate(file_lines):
        file_with_lines.append(str(i + 1) + ": " + line)
    file_with_lines = "".join(file_with_lines)

    with open("prompt.txt") as f:
        initial_prompt_text = f.read()

    prompt = (
        initial_prompt_text +
        "\n\n"
        "Here is the script that needs fixing:\n\n"
        f"{file_with_lines}\n\n"
        "Here are the arguments it was provided:\n\n"
        f"{args}\n\n"
        "Here is the error message:\n\n"
        f"{error_message}\n"
        "Please provide your suggested changes, and remember to stick to the "
        "exact format as described above."
    )

    # Truncate the prompt if it exceeds the limit
    if len(prompt) > prompt_length_limit:
        prompt = prompt[:prompt_length_limit]

    response = openai.ChatCompletion.create(
        model=model,
        messages=[
            {
                "role": "user",
                "content": prompt,
            }
        ],
        temperature=1.0,
    )

    return response.choices[0].message.content.strip()

# Apply the changes suggested by GPT
def apply_changes(file_path, changes_json):
    try:
        with open(file_path, "r") as f:
            original_file_lines = f.readlines()

        changes = json.loads(changes_json)

        operation_changes = [change for change in changes if "operation" in change]
        explanations = [
            change["explanation"] for change in changes if "explanation" in change
        ]

        operation_changes.sort(key=lambda x: x["line"], reverse=True)

        file_lines = original_file_lines.copy()
        for change in operation_changes:
            operation = change["operation"]
            line = change["line"]
            content = change["content"]

            if operation == "Replace":
                file_lines[line - 1] = content + "\n"
            elif operation == "Delete":
                del file_lines[line - 1]
            elif operation == "InsertAfter":
                file_lines.insert(line, content + "\n")

        with open(file_path, "w") as f:
            f.writelines(file_lines)

        # Print explanations
        cprint("Explanations:", "blue")
        for explanation in explanations:
            cprint(f"- {explanation}", "blue")

        # Show the diff
        print("\nChanges:")
        print_diff(original_file_lines, file_lines)
    except Exception as e:
        raise Exception(f"Failed to apply changes: {str(e)}")
    
# Apply a single change suggested by GPT interactively
def apply_change_interactive(file_path, change):
    with open(file_path, "r") as f:
        original_file_lines = f.readlines()

    operation = change["operation"]
    line = change["line"]
    content = change["content"]

    file_lines = original_file_lines.copy()
    if operation == "Replace":
        file_lines[line - 1] = content + "\n"
    elif operation == "Delete":
        del file_lines[line - 1]
    elif operation == "InsertAfter":
        file_lines.insert(line, content + "\n")

    print("\nSuggested change:")
    print_diff(original_file_lines, file_lines)

    while True:
        decision = input("Do you want to apply this change? (y/n): ").lower()
        if decision == "y":
            with open(file_path, "w") as f:
                f.writelines(file_lines)
            return True
        elif decision == "n":
            return False
        else:
            print("Invalid input. Please enter 'y' or 'n'.")

# Print the differences between two file contents
def print_diff(original_file_lines, file_lines):
    diff = difflib.unified_diff(original_file_lines, file_lines, lineterm="")
    for line in diff:
        if line.startswith("+"):
            cprint(line, "green", end="")
        elif line.startswith("-"):
            cprint(line, "red", end="")
        else:
            print(line, end="")

def main(script_name, *script_args, revert=False, model="gpt-4", interactive=False):
    openai.api_key = load_openai_key()

    if revert:
        backup_file = script_name + ".bak"
        if os.path.exists(backup_file):
            shutil.copy(backup_file, script_name)
            print(f"Reverted changes to {script_name}")
            return
        else:
            raise Exception(f"No backup file found for {script_name}")

    # Make a backup of the original script
    shutil.copy(script_name, script_name + ".bak")

    while True:
        output, returncode = run_script(script_name, script_args)

        if returncode == 0:
            cprint("Script ran successfully.", "blue")
            print("Output:", output)
            break
        else:
            cprint("Script crashed. Trying to fix...", "blue")
            print("Output:", output)

            json_response = send_error_to_gpt(
                    file_path=script_name,
                    args=script_args,
                    error_message=output,
                    model=model,
            )
            if interactive:
                changes = json.loads(json_response)
                operation_changes = [change for change in changes if "operation" in change]
                explanations = [
                    change["explanation"] for change in changes if "explanation" in change
                ]

                for change in operation_changes:
                    if apply_change_interactive(script_name, change):
                        cprint("Change applied.", "green")
                    else:
                        cprint("Change rejected.", "red")
                cprint("Finished applying changes. Rerunning...", "blue")
            else:
                try:
                    apply_changes(script_name, json_response)
                    cprint("Changes applied. Rerunning...", "blue")
                except Exception as e:
                    raise Exception(f"Failed to fix the script: {str(e)}")

if __name__ == "__main__":
    try:
        fire.Fire(main)
    except Exception as e:
        print(str(e))
        sys.exit(1)