Reddit Terminal

A Snoo Terminal application to browse Reddit posts and comments using the Reddit API.

Features

• View posts from the front page or specific subreddits
• Display comments in a threaded manner
• Pagination for comments
• AI-powered analysis of posts and comments

Prerequisites

• Python 3.6 or later
• praw, requests, beautifulsoup4, rich, python-dotenv, openai

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/reddit_terminal_reader.git
   cd reddit_terminal_reader

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate   # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

4. Create a .env file in the root directory with your Reddit API and OpenAI credentials:

   REDDIT_CLIENT_ID=your_client_id
   REDDIT_CLIENT_SECRET=your_client_secret
   REDDIT_USER_AGENT=python.com:your_app:1.0.0 (by u/your_user)
   OPENAI_API_KEY=your_key

Getting Reddit API Credentials

1. Go to Reddit's App Preferences.
2. Click on "Create App" or "Create Another App" at the bottom of the page.
3. Fill in the required fields:
   • name: Choose a name for your application.
   • App type: Select "script".
   • description: (optional) Provide a description for your app.
   • about url: (optional) Add a URL for more information about your app.
   • redirect uri: Set this to http://localhost:8000 or any URL you prefer (this won't be used in this script).
   • permissions: (optional) Set the required permissions.
4. Click "Create app".
5. Your app will be created, and you will see client_id and client_secret. Copy these values and add them to your .env file along with a user agent.

Usage

Run the main script to start the Reddit Terminal Reader:

python main.py

Commands

• /help - Display the help message
• /r <subreddit> - Change to a specific subreddit (e.g., /r AskReddit)
• /sort <method> - Change the post sorting method. Options: hot, new, top
• /limit <number> - Change the number of posts displayed
• <number> - View a specific post and its comments
• analyze - Get AI analysis of the current post
• n - View next page of comments
• p - View previous page of comments
• b - Go back to post list
• o - Open the current post's URL in your default web browser
• e <number> - Expand a specific comment thread
• c <number> - Collapse a specific comment thread
• sort <method> - Sort comments. Options: best, new, controversial
• collapse_all - Collapse all comments to show only root-level comments
• more - Show more comments (not implemented)
• q - Quit the program

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Recent Changes

• Removed Web Scraping: Web scraping feature was removed due to Reddit blocking such access.
• AI Analysis: Integrated OpenAI's GPT model for detailed analysis of posts and comments.
• Context Management: Implemented strategies to handle context length limitations during AI analysis.

Context Management in AI Analysis

To handle the context length issue when analyzing large Reddit posts and their comments, the following strategies are employed:

1. Summarize Long Comments: Summarize individual comments to reduce their length while retaining key information.
2. Truncate Excess Comments: Analyze only the top N comments based on upvotes or relevance if there are too many comments.
3. Batch Processing: Process the text in batches if it's too long to handle in a single API call, then aggregate the results.
4. Selective Inclusion: Include only the most relevant parts of the post and comments, prioritizing highly upvoted comments and those with rich content.

These changes and strategies ensure that the application remains efficient and within the token limits of the AI models used for analysis.