Module: Aura::Docker

Defined in:
lib/aura/docker.rb

Overview

Generates production deployment assets next to an .aura file: the transpiled standalone Ruby app, a Dockerfile, and a .dockerignore. Backs the ‘aura deploy` command.

Class Method Summary collapse

Class Method Details

.build(filename) ⇒ Object 



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# File 'lib/aura/docker.rb', line 12

def build(filename)
  source = File.read(filename)
  ruby_code = Aura.transpile(source)
  torch_app = ruby_code.include?("Torch::") # ML app needs torch-rb + LibTorch

  dir  = File.dirname(filename)
  base = File.basename(filename, ".aura")
  app_file = File.join(dir, "#{base}.rb")

  File.write(app_file, ruby_code)
  File.write(File.join(dir, "Dockerfile"), dockerfile("#{base}.rb", torch: torch_app))
  File.write(File.join(dir, ".dockerignore"), dockerignore)

  puts "Generated deployment assets:"
  puts "   - #{app_file}"
  puts "   - #{File.join(dir, 'Dockerfile')}"
  puts "   - #{File.join(dir, '.dockerignore')}"
  puts "   Build with: docker build -t #{base} #{dir.empty? ? '.' : dir}"
  puts "   NOTE: Torch apps need LibTorch in the image -- see the Dockerfile comment." if torch_app
end

.dockerfile(app_file, torch: false) ⇒ Object 



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# File 'lib/aura/docker.rb', line 33

def dockerfile(app_file, torch: false)
  gems = "sinatra puma json dotenv"
  gems += " torch-rb torchvision red-datasets" if torch
  libtorch = +""
  if torch
    libtorch = <<~TORCH

      # Torch apps need LibTorch (the native PyTorch C++ library). The simplest
      # path is to base the image on one that already bundles it, or download it:
      #   ENV LIBTORCH /opt/libtorch
      #   RUN curl -L https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-latest.zip -o /tmp/lt.zip \\
      #     && unzip /tmp/lt.zip -d /opt && rm /tmp/lt.zip
      # Then build torch-rb against it: gem install torch-rb -- --with-torch-dir=$LIBTORCH
    TORCH
  end

  <<~DOCKER
    # Generated by Aura v#{Aura::VERSION}
    FROM ruby:3.3-slim

    WORKDIR /app

    RUN apt-get update -qq \\
      && apt-get install -y --no-install-recommends build-essential#{torch ? ' curl unzip' : ''} \\
      && rm -rf /var/lib/apt/lists/*
    #{libtorch}
    RUN gem install #{gems}

    COPY . .

    ENV RACK_ENV=production
    EXPOSE 3000

    CMD ["ruby", "#{app_file}"]
  DOCKER
end

.dockerignore ⇒ Object 



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# File 'lib/aura/docker.rb', line 70

def dockerignore
  <<~IGNORE
    .git
    *.aura
    models/*.pth
    data/
    tmp/
    *.log
  IGNORE
end