Go to file
2024-08-15 17:06:45 +07:00
.gitignore First Commit 2024-08-15 17:01:00 +07:00
go.mod First Commit 2024-08-15 17:01:00 +07:00
go.sum First Commit 2024-08-15 17:01:00 +07:00
main.go First Commit 2024-08-15 17:01:00 +07:00
README.md Update README.md 2024-08-15 17:06:45 +07:00
torrents.db First Commit 2024-08-15 17:01:00 +07:00

Anna's Archive Mirror

This Go application creates a mirror of the Anna's Archive torrent page, providing an up-to-date list of torrents and their statistics. It includes features for tracking seeder history, generating custom torrent lists, and visualizing seeder statistics.

How It Works

  1. Data Collection: The application scrapes the full torrent list from Anna's Archive every 24 hours.
  2. Database: It stores the torrent information in a SQLite database.
  3. Stat Tracking: Every 30 minutes, it updates the seeder, leecher, and completion statistics for each torrent.
  4. Web Interface: It provides a web interface to view the torrent list, individual torrent statistics, and seeder history.
  5. Custom List Generation: Users can generate custom torrent lists based on size and type preferences.

Features

  • Display torrent list with group categorization
  • Show detailed statistics for individual torrents
  • Track and display seeder history
  • Generate custom torrent lists (magnet links, torrent files, or both)
  • Visualize daily seeder statistics across all torrents

Installation

You can just go to the releases and download the binary and skip the installation / building. Obviously use your own judgement on the OpSec of downloading pre-compiled binaries. Luckily building in Go is very easy.

  1. Clone the repository:

    git clone https://github.com/teamcoltra/annas-archive-mirror.git
    
  2. Navigate to the project directory:

    cd annas-archive-mirror
    
  3. Build the application (see Building section below).

  4. Run the application:

    ./annas-archive-mirror
    
  5. Access the web interface by opening a browser and navigating to http://localhost:8080

Building

This application uses CGO and requires GCC to be installed on your system. Follow these steps to build the application:

  1. Install Go (version 1.16 or later) from golang.org

  2. Install GCC:

    • On Ubuntu/Debian: sudo apt-get install build-essentials
    • On macOS: Install Xcode Command Line Tools
    • On Windows: Install MinGW-w64 (I didn't need to do this but other guides say you do)
  3. Install the required Go packages:

    go get github.com/mattn/go-sqlite3
    go get github.com/etix/goscrape
    
  4. Build the application:

    go build -o annas-archive-mirror
    

Configuration

You can configure the application using command-line flags:

  • -port: Set the port for the web server (default: 8080)
  • -directory: Set the directory to store the SQLite database (default: current directory)

Example:

./annas-archive-mirror -port 9000 -directory /path/to/data

How It Works in Detail

  1. Initialization:

    • The application sets up a SQLite database to store torrent information.
    • It creates necessary tables for torrents, torrent updates, and daily seeder statistics.
  2. Data Collection:

    • Every 24 hours, it fetches the latest torrent list from Anna's Archive.
    • New torrents are added to the database, and existing ones are updated.
  3. Stat Tracking:

    • Every 30 minutes, it updates the seeder, leecher, and completion statistics for each torrent.
    • It uses the github.com/etix/goscrape library to scrape tracker information.
  4. Web Server:

    • The application runs a web server that provides various endpoints:
      • /: Main page with grouped torrent list
      • /full/{groupName}: Full list of torrents for a specific group
      • /stats/{btih}: Detailed statistics for a specific torrent
      • /json: Full torrent list in JSON format
      • /generate-torrent-list: Endpoint for generating custom torrent lists
  5. Visualization:

    • It uses Chart.js to create visual representations of seeder statistics.
  6. Custom List Generation:

    • Users can specify maximum size, list type (magnet links, torrent files, or both), and output format (JSON, XML, or TXT).
    • The application generates the list based on these criteria, prioritizing torrents with fewer seeders.

Contributing

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

License

This project is open source and available under the MIT License.