Running docker services locally
Image source: github

Introduction

Often times I’m away from the internet. Be that due to being at a camp site, in a car traveling, visiting family or friends, etc.

There are also cases around privacy of services that one may want to use, that is best done in a local environment. This can include some of the AI models.

Docker [1] is an amazing product, and something available on many platforms. Through Docker, you can host images for these services, accessible to just yourself, running on your local hardware. There’s a limitation in terms of memory/ram, but if you have ample amounts of it, it’s worth using.

In this post, I want to talk about two such cases in this, and why I set them up.

Running a Local Pip Cache

pip [2] is a tool used for installing packages used in Python development. Often, I tear down, and rebuild/setup environments when working on active development. When I’m at home, this is usually not a problem, but if I’m around a place with less internet, then downloading packages becomes a challenge. In those cases, I either have to skip doing any work in Python, or start copying or using other environments. Either way, given the RAM I have on this machine, I wanted to setup my own pip server.

I came across an interesting project [3] that did what I was aiming for, but is an older project. The calls to devpi [4] changed since it was written. I took this opportunity to upgrade the package to work with the newer devpi calls.

You can find this repository, as well as instructions and use, at https://github.com/TheDarkTrumpet/docker-pip-cache

Running LanguageTool

There’s an interesting service online called LanguageTool [5] that can be used to check spelling and grammar. I use it with Obsidian for my note taking system. That said, I’m not entirely fond of sending all my information to another server to be processed like this. I found a good docker repository [6] that can run an open-source version of LanguageTool in a container. LanguageTool, from the container image site [6] says the following:

LanguageTool is an Open Source proofreading software for English, French, German, Polish, Russian, and more than 20 other languages. It finds many errors that a simple spell checker cannot detect.

I’m not fond of running docker run by itself as in how the repository recommends, and instead prefer using Docker Compose [7]. Below is the code which I’m using, which is from a miscellaneous docker git-backed repository for common things I run.

version: '3.2'

services:
  languagetool:
    image: erikvl87/languagetool
    container_name: language_tool
    restart: unless-stopped
    ports:
      - "127.0.0.1:8010:8010/tcp"
    deploy:
      resources:
        limits:
          cpus: "1"
          memory: 1024M

References

  1. Docker
  2. Pip
  3. Aanotoly’s docker-pip-cache
  4. devpi
  5. languagetool.org
  6. erikvl87/languagetool
  7. Docker Compose

David Thole

David Thole
Senior Software Architect, Developer, Instructor. Reads/studies a lot and enjoys all things technology

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