v0/debugger.py - main - githubmirror/developer

v0/debugger.py
83 строки3 KB
swyxio
upload for pranav to stop going crazy
11 июл 2023, 07:33
11 июл 2023, 07:33bfb45fc
import modal
import os
from constants import DEFAULT_DIR, DEFAULT_MODEL, DEFAULT_MAX_TOKENS, EXTENSION_TO_SKIP

stub = modal.Stub("smol-debugger-v1")
openai_image = modal.Image.debian_slim().pip_install("openai")



def read_file(filename):
    with open(filename, 'r') as file:
        return file.read()

def walk_directory(directory):
    code_contents = {}
    for dirpath, _, filenames in os.walk(directory):
        for filename in filenames:
            if not any(filename.endswith(ext) for ext in EXTENSION_TO_SKIP):
                try:
                    relative_filepath = os.path.relpath(os.path.join(dirpath, filename), directory)
                    code_contents[relative_filepath] = read_file(os.path.join(dirpath, filename))
                except Exception as e:
                    code_contents[relative_filepath] = f"Error reading file {filename}: {str(e)}"
    return code_contents



@stub.local_entrypoint()
def main(prompt, directory=DEFAULT_DIR, model="gpt-3.5-turbo"):
  code_contents = walk_directory(directory)

  # Now, `code_contents` is a dictionary that contains the content of all your non-image files
  # You can send this to OpenAI's text-davinci-003 for help

  context = "\n".join(f"{path}:\n{contents}" for path, contents in code_contents.items())
  system = "You are an AI debugger who is trying to debug a program for a user based on their file system. The user has provided you with the following files and their contents, finally folllowed by the error message or issue they are facing."
  prompt = "My files are as follows: " + context + "\n\n" + "My issue is as follows: " + prompt
  prompt += "\n\nGive me ideas for what could be wrong and what fixes to do in which files."
  res = generate_response.call(system, prompt, model)
  # print res in teal
  print("\033[96m" + res + "\033[0m")


@stub.function(
    image=openai_image,
    secret=modal.Secret.from_dotenv(),
    retries=modal.Retries(
        max_retries=3,
        backoff_coefficient=2.0,
        initial_delay=1.0,
    ),
    concurrency_limit=5,
    timeout=120,
)
def generate_response(system_prompt, user_prompt, model="gpt-3.5-turbo", *args):
    import openai

    # Set up your OpenAI API credentials
    openai.api_key = os.environ["OPENAI_API_KEY"]

    messages = []
    messages.append({"role": "system", "content": system_prompt})
    messages.append({"role": "user", "content": user_prompt})
    # loop thru each arg and add it to messages alternating role between "assistant" and "user"
    role = "assistant"
    for value in args:
        messages.append({"role": role, "content": value})
        role = "user" if role == "assistant" else "assistant"

    params = {
        'model': model,
        # "model": "gpt-4",
        "messages": messages,
        "max_tokens": 1500,
        "temperature": 0,
    }

    # Send the API request
    response = openai.ChatCompletion.create(**params)

    # Get the reply from the API response
    reply = response.choices[0]["message"]["content"]
    return reply