Refactoring with Codemods to Automate API Modifications


As a library developer, chances are you’ll create a preferred utility that lots of of
hundreds of builders depend on every day, resembling lodash or React. Over time,
utilization patterns would possibly emerge that transcend your preliminary design. When this
occurs, chances are you’ll want to increase an API by including parameters or modifying
perform signatures to repair edge instances. The problem lies in rolling out
these breaking modifications with out disrupting your customers’ workflows.

That is the place codemods are available in—a strong instrument for automating
large-scale code transformations, permitting builders to introduce breaking
API modifications, refactor legacy codebases, and preserve code hygiene with
minimal handbook effort.

On this article, we’ll discover what codemods are and the instruments you may
use to create them, resembling jscodeshift, hypermod.io, and codemod.com. We’ll stroll by real-world examples,
from cleansing up function toggles to refactoring element hierarchies.
You’ll additionally discover ways to break down complicated transformations into smaller,
testable items—a observe referred to as codemod composition—to make sure
flexibility and maintainability.

By the tip, you’ll see how codemods can develop into a significant a part of your
toolkit for managing large-scale codebases, serving to you retain your code clear
and maintainable whereas dealing with even probably the most difficult refactoring
duties.

Breaking Modifications in APIs

Returning to the situation of the library developer, after the preliminary
launch, new utilization patterns emerge, prompting the necessity to prolong an

For easy modifications, a primary find-and-replace within the IDE would possibly work. In
extra complicated instances, you would possibly resort to utilizing instruments like sed
or awk. Nevertheless, when your library is extensively adopted, the
scope of such modifications turns into tougher to handle. You possibly can’t make certain how
extensively the modification will influence your customers, and the very last thing
you need is to interrupt present performance that doesn’t want
updating.

A standard method is to announce the breaking change, launch a brand new
model, and ask customers emigrate at their very own tempo. However this workflow,
whereas acquainted, usually does not scale effectively, particularly for main shifts.
Take into account React’s transition from class elements to perform elements
with hooks—a paradigm shift that took years for big codebases to completely
undertake. By the point groups managed emigrate, extra breaking modifications had been
usually already on the horizon.

For library builders, this case creates a burden. Sustaining
a number of older variations to help customers who haven’t migrated is each
expensive and time-consuming. For customers, frequent modifications threat eroding belief.
They could hesitate to improve or begin exploring extra steady options,
which perpetuating the cycle.

However what in the event you may assist customers handle these modifications robotically?
What in the event you may launch a instrument alongside your replace that refactors
their code for them—renaming features, updating parameter order, and
eradicating unused code with out requiring handbook intervention?

That’s the place codemods are available in. A number of libraries, together with React
and Subsequent.js, have already embraced codemods to clean the trail for model
bumps. For instance, React supplies codemods to deal with the migration from
older API patterns, just like the outdated Context API, to newer ones.

So, what precisely is the codemod we’re speaking about right here?

What’s a Codemod?

A codemod (code modification) is an automatic script used to remodel
code to observe new APIs, syntax, or coding requirements. Codemods use
Summary Syntax Tree (AST) manipulation to use constant, large-scale
modifications throughout codebases. Initially developed at Fb, codemods helped
engineers handle refactoring duties for big initiatives like React. As
Fb scaled, sustaining the codebase and updating APIs turned
more and more tough, prompting the event of codemods.

Manually updating hundreds of information throughout completely different repositories was
inefficient and error-prone, so the idea of codemods—automated scripts
that remodel code—was launched to sort out this downside.

The method sometimes entails three most important steps:

  1. Parsing the code into an AST, the place every a part of the code is
    represented as a tree construction.
  2. Modifying the tree by making use of a change, resembling renaming a
    perform or altering parameters.
  3. Rewriting the modified tree again into the supply code.

Through the use of this method, codemods be sure that modifications are utilized
constantly throughout each file in a codebase, lowering the possibility of human
error. Codemods can even deal with complicated refactoring eventualities, resembling
modifications to deeply nested buildings or eradicating deprecated API utilization.

If we visualize the method, it might look one thing like this:

Refactoring with Codemods to Automate API Modifications

Determine 1: The three steps of a typical codemod course of

The concept of a program that may “perceive” your code after which carry out
automated transformations isn’t new. That’s how your IDE works once you
run refactorings like Extract Operate, Rename Variable, or Inline Operate.
Basically, your IDE parses the supply code into ASTs and applies
predefined transformations to the tree, saving the consequence again into your
information.

For contemporary IDEs, many issues occur underneath the hood to make sure modifications
are utilized accurately and effectively, resembling figuring out the scope of
the change and resolving conflicts like variable title collisions. Some
refactorings even immediate you to enter parameters, resembling when utilizing
Change Operate Declaration, the place you may modify the
order of parameters or default values earlier than finalizing the change.

Use jscodeshift in JavaScript Codebases

Let’s take a look at a concrete instance to know how we may run a
codemod in a JavaScript undertaking. The JavaScript group has a number of
instruments that make this work possible, together with parsers that convert supply
code into an AST, in addition to transpilers that may remodel the tree into
different codecs (that is how TypeScript works). Moreover, there are
instruments that assist apply codemods to total repositories robotically.

One of the crucial fashionable instruments for writing codemods is jscodeshift, a toolkit maintained by Fb.
It simplifies the creation of codemods by offering a strong API to
manipulate ASTs. With jscodeshift, builders can seek for particular
patterns within the code and apply transformations at scale.

You need to use jscodeshift to determine and substitute deprecated API calls
with up to date variations throughout a whole undertaking.

Let’s break down a typical workflow for composing a codemod
manually.

Clear a Stale Characteristic Toggle

Let’s begin with a easy but sensible instance to show the
energy of codemods. Think about you’re utilizing a function
toggle
in your
codebase to manage the discharge of unfinished or experimental options.
As soon as the function is dwell in manufacturing and dealing as anticipated, the following
logical step is to scrub up the toggle and any associated logic.

As an example, take into account the next code:

const information = featureToggle('feature-new-product-list') ? { title: 'Product' } : undefined;

As soon as the function is totally launched and now not wants a toggle, this
may be simplified to:

const information = { title: 'Product' };

The duty entails discovering all cases of featureToggle within the
codebase, checking whether or not the toggle refers to
feature-new-product-list, and eradicating the conditional logic surrounding
it. On the identical time, different function toggles (like
feature-search-result-refinement, which can nonetheless be in improvement)
ought to stay untouched. The codemod must perceive the construction
of the code to use modifications selectively.

Understanding the AST

Earlier than we dive into writing the codemod, let’s break down how this
particular code snippet seems in an AST. You need to use instruments like AST
Explorer
to visualise how supply code and AST
are mapped. It’s useful to know the node varieties you are interacting
with earlier than making use of any modifications.

The picture under exhibits the syntax tree when it comes to ECMAScript syntax. It
comprises nodes like Identifier (for variables), StringLiteral (for the
toggle title), and extra summary nodes like CallExpression and
ConditionalExpression.

Determine 2: The Summary Syntax Tree illustration of the function toggle verify

On this AST illustration, the variable information is assigned utilizing a
ConditionalExpression. The take a look at a part of the expression calls
featureToggle('feature-new-product-list'). If the take a look at returns true,
the consequent department assigns { title: 'Product' } to information. If
false, the alternate department assigns undefined.

For a activity with clear enter and output, I desire writing checks first,
then implementing the codemod. I begin by defining a adverse case to
guarantee we don’t by accident change issues we wish to depart untouched,
adopted by an actual case that performs the precise conversion. I start with
a easy situation, implement it, then add a variation (like checking if
featureToggle is known as inside an if assertion), implement that case, and
guarantee all checks go.

This method aligns effectively with Take a look at-Pushed Improvement (TDD), even
in the event you don’t observe TDD commonly. Figuring out precisely what the
transformation’s inputs and outputs are earlier than coding improves security and
effectivity, particularly when tweaking codemods.

With jscodeshift, you may write checks to confirm how the codemod
behaves:

const remodel = require("../remove-feature-new-product-list");

defineInlineTest(
  remodel,
  {},
  `
  const information = featureToggle('feature-new-product-list') ? { title: 'Product' } : undefined;
  `,
  `
  const information = { title: 'Product' };
  `,
  "delete the toggle feature-new-product-list in conditional operator"
);

The defineInlineTest perform from jscodeshift means that you can outline
the enter, anticipated output, and a string describing the take a look at’s intent.
Now, operating the take a look at with a standard jest command will fail as a result of the
codemod isn’t written but.

The corresponding adverse case would make sure the code stays unchanged
for different function toggles:

defineInlineTest(
  remodel,
  {},
  `
  const information = featureToggle('feature-search-result-refinement') ? { title: 'Product' } : undefined;
  `,
  `
  const information = featureToggle('feature-search-result-refinement') ? { title: 'Product' } : undefined;
  `,
  "don't change different function toggles"
);

Writing the Codemod

Let’s begin by defining a easy remodel perform. Create a file
referred to as remodel.js with the next code construction:

module.exports = perform(fileInfo, api, choices) {
  const j = api.jscodeshift;
  const root = j(fileInfo.supply);

  // manipulate the tree nodes right here

  return root.toSource();
};

This perform reads the file right into a tree and makes use of jscodeshift’s API to
question, modify, and replace the nodes. Lastly, it converts the AST again to
supply code with .toSource().

Now we are able to begin implementing the remodel steps:

  1. Discover all cases of featureToggle.
  2. Confirm that the argument handed is 'feature-new-product-list'.
  3. Change the whole conditional expression with the consequent half,
    successfully eradicating the toggle.

Right here’s how we obtain this utilizing jscodeshift:

module.exports = perform (fileInfo, api, choices) {
  const j = api.jscodeshift;
  const root = j(fileInfo.supply);

  // Discover ConditionalExpression the place the take a look at is featureToggle('feature-new-product-list')
  root
    .discover(j.ConditionalExpression, {
      take a look at: {
        callee: { title: "featureToggle" },
        arguments: [{ value: "feature-new-product-list" }],
      },
    })
    .forEach((path) => {
      // Change the ConditionalExpression with the 'consequent'
      j(path).replaceWith(path.node.consequent);
    });

  return root.toSource();
};

The codemod above:

  • Finds ConditionalExpression nodes the place the take a look at calls
    featureToggle('feature-new-product-list').
  • Replaces the whole conditional expression with the resultant (i.e., {
    title: 'Product' }
    ), eradicating the toggle logic and leaving simplified code
    behind.

This instance demonstrates how straightforward it’s to create a helpful
transformation and apply it to a big codebase, considerably lowering
handbook effort.

You’ll want to write down extra take a look at instances to deal with variations like
if-else statements, logical expressions (e.g.,
!featureToggle('feature-new-product-list')), and so forth to make the
codemod sturdy in real-world eventualities.

As soon as the codemod is prepared, you may try it out on a goal codebase,
such because the one you are engaged on. jscodeshift supplies a command-line
instrument that you should utilize to use the codemod and report the outcomes.

$ jscodeshift -t transform-name src/

After validating the outcomes, verify that every one useful checks nonetheless
go and that nothing breaks—even in the event you’re introducing a breaking change.
As soon as happy, you may commit the modifications and lift a pull request as
a part of your regular workflow.

Codemods Enhance Code High quality and Maintainability

Codemods aren’t simply helpful for managing breaking API modifications—they’ll
considerably enhance code high quality and maintainability. As codebases
evolve, they usually accumulate technical debt, together with outdated function
toggles, deprecated strategies, or tightly coupled elements. Manually
refactoring these areas may be time-consuming and error-prone.

By automating refactoring duties, codemods assist hold your codebase clear
and freed from legacy patterns. Repeatedly making use of codemods means that you can
implement new coding requirements, take away unused code, and modernize your
codebase with out having to manually modify each file.

Refactoring an Avatar Part

Now, let’s take a look at a extra complicated instance. Suppose you’re working with
a design system that features an Avatar element tightly coupled with a
Tooltip. Every time a consumer passes a title prop into the Avatar, it
robotically wraps the avatar with a tooltip.

Determine 3: A avatar element with a tooltip

Right here’s the present Avatar implementation:

import { Tooltip } from "@design-system/tooltip";

const Avatar = ({ title, picture }: AvatarProps) => {
  if (title) {
    return (
      <Tooltip content material={title}>
        <CircleImage picture={picture} />
      </Tooltip>
    );
  }

  return <CircleImage picture={picture} />;
};

The objective is to decouple the Tooltip from the Avatar element,
giving builders extra flexibility. Builders ought to be capable of resolve
whether or not to wrap the Avatar in a Tooltip. Within the refactored model,
Avatar will merely render the picture, and customers can apply a Tooltip
manually if wanted.

Right here’s the refactored model of Avatar:

const Avatar = ({ picture }: AvatarProps) => {
  return <CircleImage picture={picture} />;
};

Now, customers can manually wrap the Avatar with a Tooltip as
wanted:

import { Tooltip } from "@design-system/tooltip";
import { Avatar } from "@design-system/avatar";

const UserProfile = () => {
  return (
    <Tooltip content material="Juntao Qiu">
      <Avatar picture="/juntao.qiu.avatar.png" />
    </Tooltip>
  );
};

The problem arises when there are lots of of Avatar usages unfold
throughout the codebase. Manually refactoring every occasion could be extremely
inefficient, so we are able to use a codemod to automate this course of.

Utilizing instruments like AST Explorer, we are able to
examine the element and see which nodes characterize the Avatar utilization
we’re focusing on. An Avatar element with each title and picture props
is parsed into an summary syntax tree as proven under:

Determine 4: AST of the Avatar element utilization

Writing the Codemod

Let’s break down the transformation into smaller duties:

  • Discover Avatar utilization within the element tree.
  • Examine if the title prop is current.
    • If not, do nothing.
    • If current:
      • Create a Tooltip node.
      • Add the title to the Tooltip.
      • Take away the title from Avatar.
      • Add Avatar as a baby of the Tooltip.
      • Change the unique Avatar node with the brand new Tooltip.

To start, we’ll discover all cases of Avatar (I’ll omit among the
checks, however it is best to write comparability checks first).

defineInlineTest(
    { default: remodel, parser: "tsx" },
    {},
    `
    <Avatar title="Juntao Qiu" picture="/juntao.qiu.avatar.png" />
    `,
    `
    <Tooltip content material="Juntao Qiu">
      <Avatar picture="/juntao.qiu.avatar.png" />
    </Tooltip>
    `,
    "wrap avatar with tooltip when title is offered"
  );

Much like the featureToggle instance, we are able to use root.discover with
search standards to find all Avatar nodes:

root
  .discover(j.JSXElement, {
    openingElement: { title: { title: "Avatar" } },
  })
  .forEach((path) => {
    // now we are able to deal with every Avatar occasion
  });

Subsequent, we verify if the title prop is current:

root
  .discover(j.JSXElement, {
    openingElement: { title: { title: "Avatar" } },
  })
  .forEach((path) => {
    const avatarNode = path.node;

    const nameAttr = avatarNode.openingElement.attributes.discover(
      (attr) => attr.title.title === "title"
    );

    if (nameAttr) {
      const tooltipElement = createTooltipElement(
        nameAttr.worth.worth,
        avatarNode
      );
      j(path).replaceWith(tooltipElement);
    }
  });

For the createTooltipElement perform, we use the
jscodeshift API to create a brand new JSX node, with the title
prop utilized to the Tooltip and the Avatar
element as a baby. Lastly, we name replaceWith to
substitute the present path.

Right here’s a preview of the way it seems in
Hypermod, the place the codemod is written on
the left. The highest half on the best is the unique code, and the underside
half is the remodeled consequence:

Determine 5: Run checks inside hypermod earlier than apply it to your codebase

This codemod searches for all cases of Avatar. If a
title prop is discovered, it removes the title prop
from Avatar, wraps the Avatar inside a
Tooltip, and passes the title prop to the
Tooltip.

By now, I hope it’s clear that codemods are extremely helpful and
that the workflow is intuitive, particularly for large-scale modifications the place
handbook updates could be an enormous burden. Nevertheless, that is not the entire
image. Within the subsequent part, I’ll make clear among the challenges
and the way we are able to tackle these less-than-ideal facets.

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