OCaml Style Guide for Functional Programming in Software Engineering

Author: Kelvin Qian with updates by Scott Smith

Preface

Clean, readable code is essential in software development, especially as code is more often read than written. This style guide is largely (though not entirely) based off of the OCaml Programming Guidelines from the official OCaml website; while there is no “official” style, that webpage reflects the consensus view of the OCaml community. Other style guides include the UPenn style guide and the Jane Street style guide.

Many of these guidelines are more recommendations than absolute requirements; understand why these guidelines are in place rather than just following them mindlessly, and if you decide to break a recommendation, you should have a good reason. Software development, after all, is oftentimes more art than science. That said, we do expect that you will generally follow these guidelines (in particular the ones with bold remarks below) to produce clean code, and we will take off points if your code is ugly or unreadable, including cases where guidelines were abused.

Acknowledgements

This document would not have been made possible without input of the original FPSE team - myself, Dr. Scott, Devin Hill, and Shiwei Weng. Special thanks is also given to Peter Frölich, whose C style guide served as the inspiration for this document.

General Guidelines

  1. The golden rule of style: readability comes first. Regardless of if you’re an OCaml newbie or veteran, unreadable code is your worst enemy and is the source of many bugs.

  2. Each line of code should be of reasonable length. Traditionally this meant that each line had a max length of 80 columns, but this rule has become less relevant with modern displays. What is not acceptable are massive lines of 200+ columns or more that are either painful to side-scroll or are unreadable thanks to text wrapping.

  3. Your functions should be short - a reader will either glaze over at an overly long function or be utterly confused from having to keep track of all the moving parts. Functions in good functional code often outsource tasks to helper functions that each perform a single, specific, and easy to understand task. (Note: you can get away with a longer function if it’s conceptually simple, such as a match statement with very many short cases.)

  4. Your functions should not have an excessive number of arguments - functions with five arguments are okay, seven arguments is a bit too much, and ten arguments is beyond reason. If you have a ton of function arguments, look for packages of related argumenrts and consider packaging them up aas a new record type. (This also applies to the length of tuples being passed into functions; see the “Miscellaneous” section.) Additionally, for functions with more than a couple arguments use named arguments (the ~f:... in function definitions and uses) to keep things straight.

  5. Do not duplicate code. Functions that share functionality should have that code split off into a helper function that both can call, for example; if you wish to later fix that code, you’d only have to do it once and not twice. That said, avoiding code duplication is sometimes either impossible or not worth it, so (like most things in this guide) use your best judgement.

  6. Give descriptive names to your variables, (non-anonymous) functions, variants, etc. We know what add2 does, but what the heck does foo do? (You might get away with it for local variables or when using x and y in mathematical functions, but even then some description can be useful, e.g. counter instead of c.)

  7. Pattern matching is your friend in OCaml, and you should use it extensively to match on cases and destructure data structures. Pattern match on a pair rather than nesting patterns, use with to add side-conditions if needed, use let {num; denom} = r in .. instead of let num = r.num in let denom = r.denom in .. etc.

  8. Exceptions can make debugging difficult when they are thrown from deep within the code structure. Especially for larger programs use option or result values, and handle errors locally.

  9. Excessive nesting of conditionals or match statements should be avoided; it causes confusion and bugs (especially if parentheses aren’t used). In particular, when matching on nested data structures (e.g. variants that contain other variants), it’s usually clearer to match on the entire data structure at once instead of matching each layer. For instance, the following:
     match x with
     | Ok (Some y) -> (* ... *)
     | Ok (None) ->  (* ... *)
     | Error msg -> (* ... *)
    

    is more concise than

     match x with
     | Ok z ->
       match z with
       | Some y -> (* ... *)
       | Non -> (* ... *)
     | Error msg -> (* ... *)
    
  10. Use Core modules whenever possible instead of “rolling your own.” At the end of the day, it’s not worth it to re-invent the wheel when there’s correct, efficient code out there designed by OCaml experts and used/bugtested by thousands of people.

  11. Generally you should be writing functional code, with no mutation. However, OCaml does have mutable data structures like refs and arrays, and sometimes there are cases where mutation and other non-functional constructs are important. Use them judiciously; don’t shy away from mutation if it makes your code more elegant, but do not put for-loops everywhere either. In order to get used to functional programming you will be required to avoid mutation on all homeworks (but, you can use mutation in your projects if it has a clear advantage).

Modules

  1. Modules are a critical component of code encapsulation in OCaml. Creating modules and submodules is a key tool used to divide your code up and keep everything straight.

  2. You should always write an .mli file corresponding to each .ml file that you make. This enforces separation between interface and implementation (a concept shared by other languages like C++ and Java) and provides the best place to put documentation (see “Documentation” below). If your .ml file contains a lot of helper functions, .mli functions ensure that they are not exposed to other parts of the codebase, let alone external programs that may use your code as a library.

  3. Use the open keyword judiciously. Many style guides will tell you to avoid using open for any module (except for standard libraries like Core); they have a point since opening modules without care can result in unwanted name shadowing, as well as confusion over which function belongs to which module. However, never opening modules can result in Long.Module_paths.Polluting.Your.codebase. In general, it is a good idea to use open in a module when:
    • The module is a standard library that you want to use throughout your entire environment (e.g. Core).
    • The module is closely related to the module it’s being opened in (e.g. if you’re opening My_module in my_module_utils.ml).

    You should also take advantage of the let open My_Module in ... and My_module.( ... ) syntax. Both features restrict opening the module to the ... code, allowing you to have the best of both worlds. For example, String.("hi" = ho") is easier to read than String.(=) "hi" "ho".

  4. When making a new data structure, always encapsulate it in its own module. The type of the underlying data of the module should then be written as t (for “type”), e.g. String_set.t would the type of a set of strings module, not e.g. String_set.string_set_underlying_type. This may seem to contradict the guideline to give descriptive names, but the descriptiveness is already in the module name. Core uses this convention: for example Core.Result.t is the Ok/Error variant type, etc.

Naming Conventions

  1. Naming conventions for variables and other identifiers provide a baseline level of consistency and cleaniness in your code. They also allow for people familiar with these conventions to instantly identify whether something is a variable, module, and so on. Coders often take naming conventions for granted, but they are an essential part of coding style; for these reasons, you must follow the following OCaml naming conventions in this course.

  2. Variables, functions, and (non-module) type signtaures are written in all_lowercase_using_underscores, not using camelCase nor using-dashes-aka-kebab-case.

  3. Module names (both signatures and structs) are written similarly, with the exception that the first letter must be uppercase Like_this. (In dune files, however, library names are all_undercase.)

  4. Variant names are written in either UpperCamelCase or Initial_upper_case_with_underscores. (Pick one and stick with it in your codebase.)

  5. File names use_underscores, but directory names use-dashes.

Indentation

In this course you will be required to use an automatic code formatter, we recommend that you use ocamlformat as it works directly with the default course install. The convention dictated by ocamlformat mandates 2 spaces per indent, as opposed to the usual 4 spaces. (Also, please don’t use tabs for indentation!). To enable ocamlformat for your project you need to put an (empty) file at the root with the name .ocamlformat. You can simply make this file with the shell command

touch .ocamlformat

at the root of your project. Note that the homeworks should have this file present for you already.

To automatically format your code in VSCode, use option-shift-F on Mac or alt-shift-F on Windows. The following examples show how these tools indent common OCaml expressions:

  • let ... in ... expressions. Nested let ... in ... blocks should not be indented, but variable definitions should if they are placed on a new line.
      let short_string = "s" in
      let long_string = 
        "This is a very long string so it is indented and on a new line."
      in
      short_string ^ " " ^ long_string
    
  • match (and with) statements. The patterns themselves align with the match keyword, while the inner expressions are indented if they are on a new line.
      match x with
      | Some _ -> 0
      | None ->
        failwith "This is a long string, so we put it on a new line and indented it."
    
  • if ... then ... else ... expressions. The conditional branches (if they’re on a new line) should be idented, but the keyword else should not be.
      if x then
        0 + 1 * 2
      else
        3 + 4
    

As a side note, notice how the if and then keywords are on the same line, while the else keyword is on its own line. In if-statements, predicate variables or expressions (in this case x) should be short, but branches can be (reasonably) long.

One thing to point out is that it’s bad form to over-indent. These tools should fix any cases of over-indentation, but just remember that this:

    let rec map fn lst =
            match lst with
            | []      -> []
            | x :: xs -> (fn x) :: (match fn xs)

looks worse than this:

    let rec map fn lst =
      match lst with
      | [] -> []
      | x :: xs -> (fn x) :: (match fn xs)

Documentation

  1. Good documentation is a must in software engineering. Imagine if you go back to some code you haven’t touched in a year or more, and there are no comments. Good luck.

  2. Many people think that documentation = comments, but that is not necessarily true. We already mentioned the “give descriptive names” guideline as one example. Another example is using type annotations like (x : int) for function arguments and return types (which has the bonus benefit of helping the compiler perform type inference). Good variable names and type annotations can be just as descriptive as comments to someone familiar with OCaml.

  3. A key place to put comments is the .mli file, where functions and other parts of the module signature are described. You can also put comments in the .ml file, but putting most of your documentation in the interface allows for comments to focus on what something is doing or why it exists, rather than how it works; it also serves as API documentation if you choose to release your library to the wider world.

  4. Both of the previous points hint at how over-documentation is a thing. Over-documentation clutters the code and can make it unreadable. For example, you should not spam the body of your functions with comments describing every little thing it does; instead, the bulk of the explaining should be done by the code. That said, do put comments if the code isn’t clear enough, or if there’s unusual behavior, weird edge cases, interesting algorithms, etc. in your functions, but make sure to do so judiciously.

  5. In .mli files, you should follow odoc syntax when writing comments that describe functions or types - i.e. start your comments with (** instead of (*, and use square brackets to contain OCaml values (e.g. (** [compare x y] compares two values in a certain way *)). For other comments, using (* is perfectly acceptable and odoc syntax isn’t required.

Miscellaneous

  1. Do not write parentheses around function arguments that consist of a single variable or value: my_function (a) ("bee") (3) looks worse than my_function a "bee" 3.

  2. Use the power of pattern matching in let, for tuples and records, e.g. let x, y = tuple_fn 0 in ..., and in function definitions, let get_numerator {num, denom} = num

  3. Use @@ or begin ... end syntax to avoid too many parentheses.

  4. match ... with ... is not the only pattern matching syntax around; you can perform destructuring using let bindings if there’s only one case to match. let destructuring is often more concise than using match ... with .... For anonymous functions you can also directly pattern match in what was the argument position if you use the function keyword: function [] -> [] | x :: xs -> xs.

  5. Use |> very liberally, since it makes a “pipeline” of function operations which is much easier to intuitively understand.

  6. Tuples should be short and simple. Do not write tuples with many elements. A five-element tuple should instead be a record with named fields.

  7. Take advantage of label punning. For labeled arguments, my_fun ~compare x y is more concise than my_fun ~compare:compare x y. For record labels, let {num, denom} = rational is a more concise version of let {num=num, denom=denom} = rational.

  8. If you have large records, use the with keyword if you only need to update a few values.