You are an expert software architect and technical project planner. Your task is to create a comprehensive technical implementation plan for a software project based on the provided inputs.
do you know googly python-fire? Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object. I want a similar library, but instead of a CLI it generates amazing web apps for any python project!
You are an expert software architect and technical project planner. Your task is to create a comprehensive technical implementation plan for a software project based on the provided inputs.
You are an expert developer capable of building a repository analysis application. Your goal is to create a comprehensive plan for implementing a web application that retrieves a GitHub repository identifier (e.g., 127.0.0.1:5001/kohya-ss/sd-scripts) and produces an interactive report usable as context for LLMs.
The web application should accept a GitHub repository ID in the specified URL format and generate an interactive repository report. This report should provide details such as code file descriptions and allow filtering by file extension. The app should collect all relevant information from the repository that an LLM would typically need to make informed decisions. It is up to you to decide what type of information to include, while also offering users the
How to use a .xcconfig file and a .plist with a Swift Package Manager based project.
| /*: | |
| This is a concept re-implementation of the @Binding and @State property wrappers from SwiftUI | |
| The only purpose of this code is to implement those wrappers myself | |
| just to understand how they work internally and why they are needed, | |
| ⚠️ This is not supposed to be a reference implementation nor cover all | |
| subtleties of the real Binding and State types. | |
| The only purpose of this playground is to show how re-implementing | |
| them myself has helped me understand the whole thing better |
| import SwiftUI | |
| struct ChatGPTTextField: View { | |
| // MARK: - State | |
| /// State to hold our `TextField` query. | |
| @State private var queryMessage: String = "" | |
| /// Focus state for our `TextField`. |
| import {assertString} from 'plugins/assert' | |
| type TemplateContext = { | |
| input: string | |
| customPrompt?: string | |
| } | |
| type Template = (context: TemplateContext) => string | |
| type ServerPredictionPrompt = { |
| #!/usr/bin/env python3 | |
| """ | |
| This is a pre-commit-msg hook that uses the OpenAI API to get a suggested commit message | |
| for the diff that is about to be committed. | |
| To use this hook, you will need to: | |
| - Set the OPENAI_API_KEY environment variable to your OpenAI API key. |
| import ComposableArchitecture | |
| import Difference | |
| import Foundation | |
| /// A container for storing action filters. | |
| /// | |
| /// The logic behind having this rather than a normal closure is that it allows us to namespace and gather action filters together in a consistent manner. | |
| /// - Note: You should be adding extensions in your modules and exposing common filters you might want to use to focus your debugging work, e.g. | |
| /// ```swift | |
| /// extension ActionFilter where Action == AppAction { |