chatGptOps

Devops but with chatGptOoops

Install

Setup

In your application, set the following configuration values:

• OPENAI_API_KEY
• GITHUB_FINE_GRAINED_ACCESS_TOKEN with access to your repo 'issues'
• GITHUB_ORG_NAME_OR_USERNAME
• GIT_REPO_NAME

Hint python-dotenv is an excellent package for reading key-value pairs from a .env file (or envrionment) and set them as environment variables.

Example usage

Capture unhandled exceptions in a python flask application:

• Ask ChatGTP what the problem might be (sending the error context)
• Create a github issue with proposed fix from ChatGPT / llm
• Ensure unique hash of issue is used to avoid filing duplicate issues for that exception

import sys
import logging
import os
from ChatGPTHandler import ChatGPTHandler
from flask import Flask
from dotenv import load_dotenv
from unhandled_exception_logger import (
    unhandled_exception_setup,
    handle_exception,
)

load_dotenv()

PYTHON_LOG_LEVEL = os.getenv("PYTHON_LOG_LEVEL", "DEBUG")


# Register chatGPTHandler log handler
chatGPTHandler = ChatGPTHandler()
chatGPTHandler.setLevel("CRITICAL")

unhandled_exception_setup(handler=chatGPTHandler)


logger = logging.getLogger()
logger.setLevel(PYTHON_LOG_LEVEL)
logger.addHandler(chatGPTHandler)


# # Direct all uncaught exceptions to handle_exception
sys.excepthook = handle_exception


# Minimal python app example with example unhandled exception
app = Flask(__name__)
logging.getLogger("werkzeug").disabled = True
app.logger.disabled = True


@app.errorhandler(Exception)
def flask_handle_exception(e):
    handle_exception(
        sys.exc_info()[0],
        sys.exc_info()[1],
        sys.exc_info()[2],
        handler=chatGPTHandler,  # noqa: E501
    )


@app.errorhandler(500)
def error_page(e):
    return "An error occurred"


@app.route("/")
def index():
    return "index"


@app.route("/error")
def error():
    colors = ["Red", "Blue"]
    print(colors[3])
    names = ["Bob", "Alice"]
    print(names[2])
    return "<p>Hello, World!</p>"


if __name__ == "__main__":
    app.run(threaded=True)