The RePrompt is a tool designed to create a comprehensive context file (repo-context.txt) for AI coding assistants like ChatGPT. The context file aggregates essential information from your repository, including an overview, directory tree, excluded and included files, highlighted file contents, and additional static sections like a to-do list.

Features

Streamlit Web App: Intuitive interface to select folders, configure file inclusions/exclusions, and generate the context file.
Context File Generation: Produces a repo-context.txt file tailored for AI assistants.
Configurable Directory Tree: Exclude specified directories and files from the context.
File Content Integration: Includes syntax-highlighted contents of key files.
Static Content Integration: Adds static sections from files such as overview.txt and to-do_list.txt.
Save & Load Configurations: Retain file inclusion/exclusion preferences for future sessions.
Default Exclusions: Automatically excludes common directories and files to avoid unnecessary content.

Prerequisites

Python 3.7 or higher: Download from python.org
Git: Download from git-scm.com

Directory Structure

repository-context-generator/
├── src/
│   ├── app.py                   # Main Streamlit application
│   ├── generate_repo_context.py # Context generation script
│   ├── config.yaml             # Configuration file
│   ├── requirements.txt        # Python dependencies
│   ├── global_files/           # Global files for all contexts
│   └── static_files/           # Static content files
│       ├── overview.txt        # Project overview
│       ├── important_info.txt  # Important information
│       └── to-do_list.txt     # Project to-do list

Installation

1. Clone the Repository

git clone <repository-url>
cd repository-context-generator

2. Create Required Directories and Files

mkdir -p src/static_files src/global_files
touch src/static_files/overview.txt
touch src/static_files/important_info.txt
touch src/static_files/to-do_list.txt

3. Set Up Virtual Environment

Windows:

# Create virtual environment
python -m venv venv

# Activate using Command Prompt
venv\Scripts\activate.bat

# OR activate using PowerShell
.\venv\Scripts\Activate.ps1

macOS/Linux:

# Create virtual environment
python3 -m venv venv

# Activate
source venv/bin/activate

4. Install Dependencies

pip install -r requirements.txt

Required packages:

streamlit
PyYAML
Flask
Flask-Cors
GitPython
pyperclip

Running the Application

cd src
streamlit run app.py

The application will open in your default web browser at http://localhost:8501.

Usage

1. Initial Setup

Create a basic config.yaml file in the src directory:

exclude_dirs:
  - node_modules
  - venv
  - __pycache__
  - .git
  - dist
  - build
  - logs
  - .idea
  - .vscode

important_files: []
custom_sections: []

2. Select Repository

Click "Choose Folder" in the sidebar
Navigate to your target repository
Select the folder

3. Configure Files

Select directories to include in the "Include in Directory Tree" section
Exclude specific files if needed
Review the "Final Included Files" list

4. Generate Context

Click "Generate Context File"
Download or copy the generated context
Save your configuration if desired

Customization

Modify Default Exclusions

Edit DEFAULT_EXCLUDED_DIRS and DEFAULT_EXCLUDED_FILES in app.py:

DEFAULT_EXCLUDED_DIRS = [
    "node_modules",
    "venv",
    "__pycache__",
    ".git",
    "dist",
    "build",
    "logs",
    ".idea",
    ".vscode"
]

DEFAULT_EXCLUDED_FILES = ["repo-context.txt"]

Add Custom Sections

Modify config.yaml to add custom sections:

custom_sections:
  - file: changelog.txt
    section_title: "Changelog"
  - file: LICENSE.txt
    section_title: "License"

Troubleshooting

Common Issues

Tcl_AsyncDelete Warning
```
Tcl_AsyncDelete: async handler deleted by the wrong thread
```
This warning can be safely ignored; it doesn't affect functionality.
Permission Denied When Creating Directories
- Run terminal/command prompt as administrator
- Check folder permissions
- Ensure you have write access to the installation directory

Package Installation Failures

# If pip install fails, try:
python -m pip install --upgrade pip
pip install -r requirements.txt

Streamlit Port Already in Use
- Kill any running Streamlit processes
- Change the port:
```
streamlit run app.py --server.port 8502
```

Contributing

Fork the repository
Create a feature branch
Commit your changes
Push to the branch
Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For issues and feature requests, please create an issue in the GitHub repository.