Your configs suck? Try a real programming language. | beepb00p

Or yet another rant about YAML

In this post, I’ll try to explain why I find most config formats frustrating to use and
suggest that using a real programming language (i.e. general purpose one, like Python) is often a feasible and more pleasant alternative for writing configs.

1 Most modern config formats suck

In this section, I’m mostly referring to JSON/YAML/TOML/ini files, which are the most common config formats I encounter.

I’ll refer to such configs as plain configs. Not sure if there is a better name for it, please let me know!

An incomplete list of my frustrations:

  • JSON doesn’t have comments, by design 🤯
  • bits of configs can’t be reused

    For example, while YAML, in theory, supports reusing/including bits of the config (they call it anchors),
    some software like Github Actions doesn’t support it

    Usually, you just don’t have any means of reusing parts of your config and have to copy-paste.

  • can’t contain any logic

    This is considered as a positive by many, but I would argue that when you can’t define temporary variables, helper functions, substitute strings or concatenate lists, it’s a bit fucked up.

    The workarounds (if present) are usually pretty horrible and impose cognitive overhead. Programming language constructs are reinvented from scratch:

    • variables and string interpolation
      • Ansible uses Jinja templates (!) for variable manipulations.
      • Github Actions use a custom syntax for that

        In addition, they’ve got their own set of functions to manipulate the variables.
        Have fun learning a new language you never wanted to!

    • scoping

      I.e. there are several custom scopes for env directive in Github Actions.

    • control flow
      • for loop: build matrices and ‘excludes’ always give me a headache
      • if statement: e.g. when in CircleCI
  • can’t be validated

    You can validate the config syntax itself (i.e. check JSON for correctness), but you can’t do semantic checks.

    This is kind of a consequence of not having logic in the config files.
    Typically you’ll have to write a supplementary program to check your configs and remember to call it before passing to a program.

    Very few programs bother with that and usually, your program crashes because of something that would be trivial to catch with any simple type system.

  • YAML simply stands out with its implicit conversions and portability issues

    There are enough rants about it, so I’ll just leave a link to a good one: “YAML: probably not so great after all”.

Summary: we spend time learning useless syntax, instead of productive work.

2 Workarounds

So what happens when people encounter these problems?
Often they end up using a ‘real’ (i.e. general purpose, Turing complete) programming language anyway:

  • you write a program to filter out custom comment syntax
  • you write a program to merge configs or use a templating engine
  • you write a program that ‘evaluates’ the config

    Often, you end up reimplementing an interpreter for a simple functional language in the process.

  • you write a program to validate the config

    For the most part, it’s boilerplate for type checking. You’re not only working on a solved problem but in addition, end up with mediocre error messages as a result.

All this stuff is unpleasant and distracts you from your main objective.

Perhaps you can see where I’m coming with this.

3 Use a real programming language

The idea is to write your config in your target programming language.
I’ll have Python in mind here, but the same idea can be applied to any dynamic enough language (i.e. Javascript/Ruby/etc).

Then, you simply import/evaluate your config file and viola – you’re done. That’s it.

  • Toy example:

    config.py

    from typing import NamedTuple
    
    class Person(NamedTuple):
        name: str
        age: int
    
    PEOPLE = [
        Person('Ann'  , 22),
        Person('Roger', 15),
        Person('Judy' , 49),
    ]
    

    Using the config:

    from pathlib import Path
    
    config = {}
    exec(Path('config.py').read_text(), config)
    people = config['PEOPLE']
    
    print(people)
    
    [Person(name='Ann', age=22), Person(name='Roger', age=15), Person(name='Judy', age=49)]
    

I find it pretty neat.
Let’s see how it helps us with the problems I described:

  • comments: duh
  • includes: trivial, use imports

    You can even import the very package you’re configuring.
    So you can define a DSL for configuration, which will be imported and used in the config file.

  • logic

    You have your language’s syntax and libraries available to use.
    For example, something like pathlib alone can save you massive amounts of config duplication.

    Of course, one could go crazy and make it incomprehensible.
    But personally I’d rather accept potential for abusing rather than being restricted.

  • validation

    You can keep validation logic right in the config, so it would be checked at the time of loading.
    Mature static analysis tools (i.e. JS flow/eslint/pylint/mypy) can be used to aid you.

Downsides

Are there any problems with that approach? Sure:

  • interoperability

    Okay, maybe if your program is in Python it makes sense. But what if it isn’t, or you’ll rewrite it to another language (i.e. compiled, like c++) later.

    If you’ll be running your software somewhere without an interpreter, then sure, good point.
    Modern FFI is tedious and linking against your config is going to be pretty tricky.

    In case of Python specifically, it’s present in most modern OS distributions. So you might get away with the following:

    1. make your Python config executable
    2. in the main() function, build the config, convert to JSON and dump to the stdout

      This step is possible with no boilerplate due to Python’s dynamic nature.

    3. in your c++ code, execute the Python config (i.e. use popen()), read the raw JSON and process

    Yep, you will still have to manually deserialize config in the c++ code. But I think that’s at least not worse than only using JSON and editing it manually.

  • general-purpose programming languages are harder to reason about

    This is somewhat subjective. Personally, I’d be more likely overwhelmed by an overly verbose plain config. I’d always prefer a neat and compact DSL.

    A large factor here is code style: I’m sure you can make your config file readable in almost any programming language,
    even for people not familiar with the language at all.

    The biggest issues are probably security and termination checking.

  • security

    I.e. if your config executes arbitrary code, then it may steal your passwords, format your hard drive, etc.

    If your configs are supplied by third parties you don’t trust, then I agree that plain configs are safer.
    However, often it’s not the case, and the user controls their own config.

    In addition, this is something that can be potentially solved by sandboxing. Whether it’s worth the effort depends on the nature of your project, but for something like CI executor you need it anyway.

    Also, note that using a plain config format doesn’t necessarily save you from trouble. See “YAML: insecure by default”.

  • termination checking

    Even if you don’t care about security, you don’t want your config to hang the program.

    Personally, I’ve never run into such issues, but here are some potential workarounds for that:

    • explicit timeout for loading the config
    • using a subset of the language might help, for example, Bazel

      Anyone knows examples of conservative static analysis tools that check for termination in general purpose languages?

    • note that using a plain config doesn’t mean it won’t loop infinitely

      See “Accidentally Turing complete”.

    • your config can take very long time to evaluate, while technically taking finite time to complete

      See “Why Dhall advertises the absence of Turing-completeness”

      While an Ackermann function is a contrived example,
      that means that if you truly care about malicious inputs, you want to sandbox anyway.

Why Python?

Some reasons I find Python specifically enjoyable for writing config files:

  • Python is present on almost all modern operating systems
  • Python syntax is considered simple (not a bad thing!), so hopefully Python configs aren’t much harder to understand than plain configs
  • data classes, functions and generators form a basis for a compact DSL
  • typing annotations serve as documentation and validation at the same time

However, you can achieve a similarly pleasant experience in most modern programming languages (provided they are dynamic enough).

Who else does it?

Some projects that allow for using code as configuration:

  • setuptools, the standard way of installing Python packages

    Allows using both setup.cfg and setup.py files. That way if you can’t achieve something solely with plain config, you can fix this in setup.py.

  • Jupiter, interactive computing tool

    Uses a python file to configure the export.

  • Emacs: famously uses Elisp for its configuration

    While I’m not a fan of Elisp at all, it does make Emacs very flexible and it’s possible to achieve any configuration you want.

    On the other hand, if you’ve ever read other people’s Emacs setups, you can see it also demonstrates how things can get out of hand when you allow
    a general purpose language for configuration.

  • Surfingkeys browser extension: uses a Javascript DSL for configuration
  • Bazel uses a subset of Python for describing build rules

    While it’s deliberately restricted to ensure termination checking and determinism, configuring Bazel is orders of magnitude more pleasant than any other build system I’ve used.

  • Nix: language designed specifically for the Nix package manager

    While a completely new language feels like an overkill, it’s still nicer to work with than plain configs.

  • Dhall: language designed specifically for config files

    Dhall advertises itself as “JSON + functions + types + imports”. And indeed, it looks great, and solves most of the issues I listed.

    One downside is that it’s not widespread yet. If you don’t have bindings for your target language, you’d end up parsing JSON again.
    However, at least it makes writing configs pleasant.

    But again, if your program is written in Javascript and doesn’t interact with other languages, why don’t you just make the config Javascript?

4 What if you don’t have a choice?

Some ways I’ve found to minimize the frustration while using plain configs:

  • write as little in config files as possible

    This typically applies to CI pipeline configs (i.e. Gitlab/Circle/Github Actions) or Dockerfiles.

    Often such configs are bloated with shell commands, which makes it impossible to run locally without copying line by line.
    And yeah, there are ways to debug, but they have a pretty slow feedback loop.

    • use tools that are better suited to set up local virtual environments, like tox-dev/tox
    • prefer helper shell scripts and call them from your pipeline

      It is a bit frustrating since it introduces indirection and scatters code around.
      But, as an upside, you can lint (e.g. shellcheck) your pipeline scripts, and make it easier to run locally.

      Sometimes you can get away if your pipeline is short, so use your own judgment.

    Let the CI only handle setting up a VM/container for you, caching the dependencies, and publishing artifacts.

  • generate instead of writing manually

    The downside is that the generated config may diverge if edited manually.

    You can add the warning comment that the config is autogenerated with the link to the generator, and make the config file read-only to discourage manual editing.

    In addition, if you’re running CI, you can make the consistency check a part of the pipeline itself.

6

A followup question, which I don’t have an answer for: why is is that way?
I’m sure Ansible/CircleCI or Github Actions are developed by talented engineeres who have considered pros and cons of using YAML.
Do the pros really outweight the cons?

Open to all feedback, and feel free to share your config pain and how are you solving it!

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