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    Home»Software Development»Refactoring with Codemods to Automate API Adjustments
    Software Development

    Refactoring with Codemods to Automate API Adjustments

    adminBy adminJanuary 8, 2025Updated:January 8, 2025No Comments14 Mins Read
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    Refactoring with Codemods to Automate API Adjustments


    As a library developer, you could create a preferred utility that tons of of
    1000’s of builders depend on every day, corresponding to lodash or React. Over time,
    utilization patterns may emerge that transcend your preliminary design. When this
    occurs, you could 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 robust instrument for automating
    large-scale code transformations, permitting builders to introduce breaking
    API modifications, refactor legacy codebases, and preserve code hygiene with
    minimal guide effort.

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

    By the top, you’ll see how codemods can change 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 essentially the most difficult refactoring
    duties.

    Breaking Adjustments in APIs

    Returning to the state of affairs of the library developer, after the preliminary
    launch, new utilization patterns emerge, prompting the necessity to lengthen an

    For easy modifications, a fundamental find-and-replace within the IDE may work. In
    extra advanced instances, you may resort to utilizing instruments like sed
    or awk. Nevertheless, when your library is broadly adopted, the
    scope of such modifications turns into more durable to handle. You’ll be able to’t make sure how
    extensively the modification will impression your customers, and the very last thing
    you need is to interrupt present performance that doesn’t want
    updating.

    A typical strategy 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, typically would 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 giant codebases to totally
    undertake. By the point groups managed emigrate, extra breaking modifications have been
    typically already on the horizon.

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

    However what when you may assist customers handle these modifications mechanically?
    What when 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 guide intervention?

    That’s the place codemods are available in. A number of libraries, together with React
    and Subsequent.js, have already embraced codemods to easy the trail for model
    bumps. For instance, React gives codemods to deal with the migration from
    older API patterns, just like the previous 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 rework
    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 giant initiatives like React. As
    Fb scaled, sustaining the codebase and updating APIs grew to become
    more and more troublesome, prompting the event of codemods.

    Manually updating 1000’s of information throughout completely different repositories was
    inefficient and error-prone, so the idea of codemods—automated scripts
    that remodel code—was launched to deal with this downside.

    The method usually 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 metamorphosis, corresponding to renaming a
      perform or altering parameters.
    3. Rewriting the modified tree again into the supply code.

    Through the use of this strategy, codemods be sure that modifications are utilized
    persistently throughout each file in a codebase, decreasing the possibility of human
    error. Codemods may deal with advanced refactoring situations, corresponding to
    modifications to deeply nested constructions or eradicating deprecated API utilization.

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

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

    The thought of a program that may “perceive” your code after which carry out
    computerized transformations isn’t new. That’s how your IDE works while you
    run refactorings like Extract Perform, Rename Variable, or Inline Perform.
    Primarily, 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 below the hood to make sure modifications
    are utilized accurately and effectively, corresponding to figuring out the scope of
    the change and resolving conflicts like variable title collisions. Some
    refactorings even immediate you to enter parameters, corresponding to when utilizing
    Change Perform Declaration, the place you may alter the
    order of parameters or default values earlier than finalizing the change.

    Use jscodeshift in JavaScript Codebases

    Let’s have 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 whole repositories mechanically.

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

    You should use jscodeshift to determine and change deprecated API calls
    with up to date variations throughout a complete 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 stay in manufacturing and dealing as anticipated, the subsequent
    logical step is to scrub up the toggle and any associated logic.

    As an example, think about the next code:

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

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

    const information =  title: 'Product' ;
    

    The duty entails discovering all situations 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 similar time, different function toggles (like
    feature-search-result-refinement, which can nonetheless be in growth)
    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 to be in an AST. You should use instruments like AST
    Explorer to visualise how supply code and AST
    are mapped. It’s useful to know the node sorts you are interacting
    with earlier than making use of any modifications.

    The picture beneath reveals the syntax tree when it comes to ECMAScript syntax. It
    incorporates 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 process with clear enter and output, I favor writing exams first,
    then implementing the codemod. I begin by defining a detrimental case to
    guarantee we don’t unintentionally change issues we wish to depart untouched,
    adopted by an actual case that performs the precise conversion. I start with
    a easy state of affairs, implement it, then add a variation (like checking if
    featureToggle known as inside an if assertion), implement that case, and
    guarantee all exams cross.

    This strategy aligns effectively with Check-Pushed Growth (TDD), even
    when you don’t observe TDD frequently. 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 exams 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 lets you outline
    the enter, anticipated output, and a string describing the take a look at’s intent.
    Now, working the take a look at with a standard jest command will fail as a result of the
    codemod isn’t written but.

    The corresponding detrimental 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 situations of featureToggle.
    2. Confirm that the argument handed is 'feature-new-product-list'.
    3. Change your complete 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 your complete 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 decreasing
    guide 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 situations.

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

    $ jscodeshift -t transform-name src/
    

    After validating the outcomes, verify that every one useful exams nonetheless
    cross and that nothing breaks—even when 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 will
    considerably enhance code high quality and maintainability. As codebases
    evolve, they typically accumulate technical debt, together with outdated function
    toggles, deprecated strategies, or tightly coupled elements. Manually
    refactoring these areas might be time-consuming and error-prone.

    By automating refactoring duties, codemods assist maintain your codebase clear
    and freed from legacy patterns. Often making use of codemods lets you
    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 have a look at a extra advanced instance. Suppose you’re working with
    a design system that features an Avatar part tightly coupled with a
    Tooltip. Each time a consumer passes a title prop into the Avatar, it
    mechanically wraps the avatar with a tooltip.

    Determine 3: A avatar part 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 part,
    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 tons of of Avatar usages unfold
    throughout the codebase. Manually refactoring every occasion can 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 part and see which nodes symbolize the Avatar utilization
    we’re concentrating on. An Avatar part with each title and picture props
    is parsed into an summary syntax tree as proven beneath:

    Determine 4: AST of the Avatar part utilization

    Writing the Codemod

    Let’s break down the transformation into smaller duties:

    • Discover Avatar utilization within the part tree.
    • Test 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 situations of Avatar (I’ll omit among the
    exams, however it’s best to write comparability exams 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 supplied"
      );
    

    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
    part as a baby. Lastly, we name replaceWith to
    change the present path.

    Right here’s a preview of the way it seems to be in
    Hypermod, the place the codemod is written on
    the left. The highest half on the appropriate 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 situations 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
    guide updates can 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 handle these less-than-ideal facets.



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