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Writing Custom Components with Spectral 4.x

Outdated Spectral Version

This page covers how to write and maintain a custom component using an outdated version of Spectral. If you are about to start a new custom component, we strongly recommend you reference the most recent guide on writing custom components. You can update your component by following the Upgrade Guides in the sidebar to the left.

Overview#

Prismatic is extensible and allows for developer users to develop their own custom components. Components that Prismatic users develop are proprietary to their organization, and are private.

Sample component code is referenced throughout this page.

For a sample component that wraps an HTTP-based API, see our quickstart on Wrapping an API in a Component.

Custom Component Library#

Prismatic provides a NodeJS package, @prismatic-io/spectral, which provides TypeScript typing and some utility functions. Source code for Spectral is available on github.

For information on Spectral's utility functions and types, see our custom component library docs.

Initializing a New Component#

To initialize a new project, run prism components:init {{ COMPONENT NAME }}. If you do not have Prismatic's CLI tool, prism, installed, please take a moment to look through the Prism overview page.

prism components:init format-name

Your component name must be comprised of alphanumeric characters, hyphens, and underscores, and start and end with alphanumeric characters. This will create a directory structure that looks like this:

format-name├── assets│   └── icon.png├── jest.config.js├── package.json├── src│   ├── index.test.ts│   └── index.ts├── tsconfig.json└── webpack.config.js
  • assets/icon.png is the icon that will be displayed next to your component Square transparent PNGs at least 128 x 128 pixels in size look best, and will be scaled by the web app appropriately.
  • jest.config.js contains configuration for the Jest testing framework
  • package.json is a standard node package definition file
  • src/index.ts contains the code for your component. This file can be broken into multiple files as needed
  • src/index.test.ts contains tests for component actions defined in index.ts. See Unit Testing Custom Components
  • tsconfig.json contains configuration for TypeScript
  • webpack.config.js contains configuration for Webpack

After these files are created run cd {{ COMPONENT_NAME }} to enter the directory of your component, and then npm install or yarn install to install dependencies.

Custom Components from WSDLs or OpenAPI Specs#

Third-party apps and services often provide APIs with hundreds of RESTful endpoints. It would be tedious to manually write actions for each individual endpoint. Luckily, many companies also provide an API specification - commonly a Web Service Definition Language (WSDL) file, or an OpenAPI (Swagger) specification.

You can generate a custom component from a WSDL file with prism by passing the --wsdl-path flag to the components:init subcommand:

prism components:init myThirdPartyComponent --wsdl-path ./thirdPartySpec.wsdl

You can generate a custom component from an OpenAPI definition (you can use a YAML or JSON file - both work fine) with prism by passing the --open-api-path flag to the components:init subcommand:

prism components:init myThirdPartyComponent --open-api-path ./third-party-openapi-spec.json

OpenAPI Endpoints Without Auth#

By default, components generated using an OpenAPI specification include authentication logic. If the API you're integrating with does not require authentication, add the --skip-auth flag:

prism components:init myThirdPartyComponent --skip-auth --open-api-path ./third-party-openapi-spec.json

Enabling Retry in a Generated Custom Component#

If you would like your custom component's HTTP client to retry failed requests, you can pass in an --add-retry flag. Actions will then contain additional inputs for how many times to retry, and how long to wait between retries.

prism components:init myThirdPartyComponent --add-retry --open-api-path ./third-party-openapi-spec.json

Directory Structure of an OpenAPI-Generated Component#

A component generated from an OpenAPI spec will have a similar structure to a non-generated component. The src/ directory will still contain source files with input, action, and component definitions. Additionally, a core/ directory will contain an HTTP client, and you will find models/ and services/ directories containing TypeScript definitions and functions that invoke the HTTP library to interact with the API.

Debugging OpenAPI-Generated Components#

All actions in OpenAPI-Generated components take a debug input, which is a boolean value (true or false). When debug is true, the full HTTP request that the component makes is logged out. This is handy for debugging custom components, but we recommend that you set debug to false when you deploy your integration to customers to avoid logging sensitive information.

Writing Actions#

A component is comprised of zero, one or many actions. For example, the HTTP component contains actions to GET (httpGet), POST (httpPost), etc.

An action has three required properties and one optional one:

  1. Information on how the web app display the action
  2. A function to perform
  3. A series of input fields
  4. (optional) An authorization block that describes what type(s) of credentials the action accepts.
const myAction = action({  display: {    label: "Brief Description",    description: "Longer description to display in web app UI",  },  perform: async (context, params) => {},  inputs: { inputFieldOne, inputFieldTwo },  // optional:  authorization: {    required: true,    methods: ["basic", "oauth", "api_key"],  },});

Adding Inputs#

Components can take inputs. Each input is comprised of a required label, and type and optional placeholder, default, comments, required and model.

Consider this example input:

const middleName = input({  label: "Middle Name",  placeholder: "Middle name of a person",  type: "string",  required: false,  default: "",  comments: "Leave blank if the user has no middle name",});

This contributes to an input prompt that looks like this:

Note where the label and placeholder text appeared in the web app, and note that First Name and Last Name are required - indicated with a *, but Middle Name is not.

Action Input Types#

An input can take a number of types, which affects how the input renders in the Prismatic web app:

  • string will allow users to input or reference a string of characters.
  • text is similar to string, but allows for multi-line input.
  • boolean allows users to enter one of two values: true or false.
  • code opens a code editor so users can enter XML, HTML, JSON, etc.
  • conditional allows users to enter a series of logical conditionals. This is most notably used in the branch component.

Creating Dropdown Menu Inputs#

Rather than allowing integration builders to enter values for an input, you might want to have users choose a value from a list of possible values. You can do that by making your input into a dropdown menu.

To create an input with a dropdown menu, add a model property to your input:

export const acmeEnvironment = input({  label: "Acme Inc Environment to Use",  placeholder: "ACME Environment",  type: "string",  required: true,  model: [    {      label: "Production",      value: "https://api.acme.com/",    },    {      label: "Staging",      value: "https://staging.acme.com/api",    },    {      label: "Sandbox",      value: "https://sandbox.acme.com/api",    },  ],});

The model property should be an array of objects, with each object containing a label and a value. The label is shown in the dropdown menu. The value is passed in as the input's value to the custom component.

Writing perform functions#

Each action contains one perform function, which is an async function with two parameters that may or may not have a return value. In this example firstName, middleName, and lastName, are input parameters for this perform function

const properFormatName = action({  display: {    label: "Properly Format Name",    description: "Properly format a person's name (Last, First M.)",  },  perform: async (context, { firstName, middleName, lastName }) => {    if (middleName) {      return {        data: `${lastName}, ${firstName} ${middleName[0]}.`,      };    } else {      return { data: `${lastName}, ${firstName}` };    }  },  inputs: { firstName, middleName, lastName },});

perform Function Parameters#

The perform function takes two parameters, context and params, that can be destructured into their respective properties:

perform: async (context, params) => {},// orperform: async (  { logger, credential },  { paramName1, paramName2, ... }) => {},

The context Parameter#

The context parameter is an object that contains five attributes: logger, credential, executionId, instanceState, and stepId.

context.logger#

context.logger is a logging object and can be helpful to debug components.

perform: async ({ logger }, params) => {  logger.info("Things are going great");  logger.warn("Now less great...");};

Available log functions in increasing order of severity include logger.debug, logger.info, logger.warn and logger.error.

You can also execute logger.metric on an object, which helps when streaming logs and metrics to an external logging service.

context.credential#

context.credential is an object that stores information about any credentials tied to this action in the form

{  authorizationMethod:    "api_key_secret" | "basic" | "private_key" | "api_key" | "oauth2" | "oauth2_client_credentials",  fields: {    FIELD_NAME: String,    FIELD_NAME: String,  },}

The fields presented are dependent on what type of credential is passed in. If, for example, you use the basic authorization type, the credential payload might read

{  authorizationMethod: "basic",  fields: {    username: "MyUser",    password: "MyP@$$word",  },}

The credential parameter can be used in your custom component like this:

perform: async ({ logger, credential }, params) => {  logger.log(`Your basic auth username is "${credential.fields.username}"`);};

context.executionId#

context.executionId is a string that contains the ID of the currently running execution.

context.instanceState#

context.instanceState is a key/value store that may be used to store small amounts of data which is persisted between instance executions. It is most notably used by the Persist Data and Process Data components, but you can use it in your custom components, too.

If, for example, a previous instance run saved a state key of sampleKey, you can reference context.instanceState['sampleKey'] to access that key's value.

To do the reverse, and save data to instance state for subsequent runs, add a state property to your perform function's return value:

return {  data: "Some Data",  state: { exampleKey: "example value", anotherKey: [1, 2, 3] },};
Persisted data is scoped per-instance

Persisted data is scoped per-instance. So, the same integration deployed to two different customers would have two distinct instanceState stores. One instance is not able to read from the other instance's instanceState.

context.stepId#

context.stepId contains the unique identifier (UUID) of the step. It is used by the Process Data - DeDuplicate action to track what items in a array have or have not been previously seen. You can use it similarly in a custom component to persist step-specific data.

The params Parameter#

The params parameter is an object that has attributes for each input field the action supports. For example, for the perform action defined above, params has params.firstName, params.middleName, and params.lastName.

firstName, middleName, and lastName are based off of the input objects that are provided to the action as inputs.

Shorthand property names

Note that we are using shorthand property names for inputs in our example. If your input object variables have different names - say you have a const myFirstNameInput = input ({...}), you can structure your action's input property like this:

inputs: {    firstName: myFirstNameInput,    middleName: myMiddleNameInput,    lastName: myLastNameInput,}

and the params object passed into perform will have keys firstName, middleName, and lastName.

Using non-shorthand property names is preferable to some developers to avoid variable shadowing.

The function is written with a destructured params parameter. It could be rewritten without being destructured.

perform: async (context, params) => {  if (params.middleName == "") {    return { data: `${params.lastName}, ${params.firstName}` };  } else {    return {      data: `${params.lastName}, ${params.firstName} ${params.middleName[0]}.`,    };  }},

Coercing Input Types#

TypeScript-based Node libraries often have strict rules about the type of variables that are passed into their functions, but inputs to perform functions are of type unknown since it's not known ahead of time what types of values users of components are going to pass in. For example, you might expect one of your inputs to be a number, but a user might pass in a string instead. That's obviously a problem since "2" + 3 is "23", while 2 + 3 is 5 in JavaScript.

The Spectral package includes several utility functions for coercing input to be the type of variable that you need. Looking at the number/string example, suppose you have some input - quantity - that you need turned into a number (even if someone passes in "123.45" as a string), and you have another input - itemName - that you'd like to be a string. You can use util.types.toNumber() and util.types.toString() to ensure that the input has been converted to a number and string respectively:

import { action, util } from "@prismatic-io/spectral";import { someThirdPartyApiCall } from "some-example-third-party-library";
action({  /*...*/  perform: async (context, { quantity, itemName }) => {    const response = await someThirdPartyApiCall({      orderQuantity: util.types.toNumber(quantity), // Guaranteed to be a number      orderItemName: util.types.toString(itemName), // Guaranteed to be a string    });    return { data: response };  },});

If an input cannot be coerced into the type you've chosen - for example, suppose you pass "Hello World" into util.toNumber() - an error will be thrown indicating that "Hello World" cannot be coerced into a number.

Writing Your Own Type Checking Functions#

Prismatic provides a variety of type check and type coercion functions for common types (number, integer, string, boolean, etc). If you require a uniquely shaped object, you can create your own type check and coercion functions to ensure that inputs your custom component receives have the proper shape that the libraries you rely on expect.

You can import an interface or type (or write one yourself) and write a function that converts inputs into an expected shape. For example, the SendGrid SDK expects an object that has this form:

{  "to": [string],  "from": string,  "subject": string,  "text": string,  "html": string}

We can pull in that defined type, MailDataRequired, from the SendGrid SDK, and write a function that takes inputs and converts them to an object containing a series of strings:

import { MailDataRequired } from "@sendgrid/mail";import { util } from "@prismatic-io/spectral";
export const createEmailPayload = ({  to,  from,  subject,  text,  html,}): MailDataRequired => ({  to: util.types    .toString(to)    .split(",")    .map((recipient: string) => recipient.trim()),  from: util.types.toString(from),  subject: util.types.toString(from),  text: util.types.toString(text),  html: util.types.toString(html),});

Action Results#

In the example above, the function returns a string of the form Last, First M.. This return value of a custom component is accessible to subsequent steps by referencing this step's results. Component outputs can take many forms. To return a simple string, number, boolean, array, or object your return block can read:

// return a string:return {  data: "some string",};// return a number:return {  data: 123.45,};// return a boolean:return {  data: true,};// return an array:return {  data: [1, 2, 3, 4, "a", "b"],};// return an object:return {  data: {    key1: "value1",    key2: ["value2", 123],  },};

Those values can be used as inputs in subsequent steps by referencing this step's results.

Outputting Binary Data#

Some custom components will not output a number, string, boolean, array, or object, but will instead output an entire file (like an image, PDF, video, etc). For those custom components, the return value will contain a file Buffer as the data return, and a contentType key to indicate kind of file is being returned. See Mozilla's documentation for a list of common file MIME types.

For example, if your custom component returns a rendered PDF file, and the PDF contents are saved in a Buffer variable named pdfContents, the return block might look like this:

return {  data: pdfContents,  contentType: "application/pdf",};

Setting Synchronous HTTP Status Codes#

If you invoke your instances synchronously and would like to return an HTTP status code other than 200 - OK, you can configure the final step of your integration to be a custom component that returns any HTTP status code you want.

To return an HTTP status code other than 200, return a statusCode attribute in the object you return from your custom component instead of a data attribute:

return {  statusCode: 415,};

If this custom component is the last step of an integration, then the integration will return an HTTP status code of 415 if invoked synchronously.

Note: When an integration is invoked synchronously, the integration redirects the caller to a URL containing the output results of the final step of the integration. If the final step of the integration is a Stop Execution action, or any custom component action that returns a statusCode, the redirect does not occur and the caller receives a null response body instead. You should not return both data and statusCode attributes in a custom component.

Example Action Payloads#

As noted above, actions return results for subsequent steps to consume. It's often handy for an integration builder to have access to the shape of the results prior to a test being run. Your action can provide an examplePayload that can be referenced before test data is available:

{  /* ... */  examplePayload: {    data: {      username: "john.doe",      name: {        first: "John",        last: "Doe",      },      age: 20,    },  },}

In the integration designer, this example payload can be referenced as an input.

Note: your examplePayload must match the exact TypeScript type of the return value of your perform function. If your perform function's return value does not match the type of the example payload, TypeScript will generate a helpful error message:

Exporting a Component#

Component code contains a default export of component type. A component contains a key that uniquely identifies it, whether or not it's public, some information about how the web app should display it, an object containing the actions that the component is comprised of, and if your custom component has its own triggers, an object containing the triggers that the component contains. For the "proper and improper" names example component, the export can look like this:

export default component({  key: "format-name",  public: false,  display: {    label: "Format Name",    description: "Format a person's name given a first, middle, and last name",    iconPath: "icon.png",  },  actions: {    improperFormatName,    properFormatName,  },});

Testing a Component#

It's important to have good unit tests for software - custom components are no exception. You want to catch errors or breaking changes before they wreak havoc on your customers' integrations. Prismatic's Spectral library provides some utility functions to make writing unit tests easier.

In the examples below, we assume that you use the Jest testing framework which is installed by default when you run prism components:init. You can swap Jest out for another testing framework if you like.

Test File Naming Conventions#

To create a unit test file, create a new file alongside your code that has the extension test.ts (rather than .ts). For example, if your code lives in index.ts, create a file named index.test.ts. If you separate out your component actions into actions.ts, create a corresponding actions.test.ts.

Testing Component Actions#

As described above a component action's perform function takes two arguments:

  • context is an object that contains a logger and credential.
  • params is an object that contains input parameters as key-value pairs.

Test logger and credential parameters are described below. Let's ignore them for now and look at the params object. Consider the example "Format Proper Name" action described previously:

export const properFormatName = action({  display: {    label: "Properly Format Name",    description: "Properly format a person's name (Last, First M.)",  },  perform: async (context, { firstName, middleName, lastName }) => {    if (middleName) {      return {        data: `${lastName}, ${firstName} ${middleName[0]}.`,      };    } else {      return { data: `${lastName}, ${firstName}` };    }  },  inputs: { firstName, middleName, lastName },});

You can use the @prismatic-io/spectral/dist/testing/invoke function to test an invocation of that action. The invoke function takes two required and one optional parameters:

  • The action's definition (i.e. properFormatNameAction)
  • An object containing input parameters
  • An object containing a logger or credentials (optional)

A Jest test file, then, could look like this:

import { properFormatName } from ".";import { invoke } from "@prismatic-io/spectral/dist/testing";
describe("Test the Proper Name formatter", () => {  test("Verify first, middle, and last name", async () => {    const { result } = await invoke(properFormatName, {      firstName: "John",      middleName: "James",      lastName: "Doe",    });    expect(result.data).toStrictEqual("Doe, John J.");  });  test("Verify first and last name without middle", async () => {    const { result } = await invoke(properFormatName, {      firstName: "John",      middleName: null,      lastName: "Doe",    });    expect(result.data).toStrictEqual("Doe, John");  });});

You can then run yarn run jest, and Jest will run each test, returning an error code if a test failed.

Verifying Correct Logging in Action Tests#

You may want to verify that your action generates some logs of particular severities in certain situations. The invoke function mentioned above also returns an object, loggerMock, with information on what was logged during the action invocation.

You can use Jest to verify that certain lines were logged like this:

test("Ensure that an error is logged", async () => {  const level = "error";  const message = "Error code 42 occurred.";  const { loggerMock } = await invoke(myExampleAction, {    exampleInput1,    exampleInput2,  });  expect(loggerMock[level]).toHaveBeenCalledWith(message);});

In the above example, the test would pass if an error log line of Error code 42 occurred. were generated, and would fail otherwise.

Providing Test Credentials to an Action Test#

Many actions require credentials to interact with third-party services. You can create a credential object using @prismatic-io/spectral/dist/testing/credentials/* functions:

import { credentials } from "@prismatic-io/spectral/dist/testing";
const myBasicAuthTestCredential = credentials.basic("myUsername", "myPassword");console.log(myBasicAuthTestCredential);/*  {    authorizationMethod: 'basic',    fields: { username: 'myUsername', password: 'myPassword' }  }*/

It's not good practice to hard-code credentials. Please use best practices, like setting environment variables to store credentials in your CI/CD environment:

import { credentials } from "@prismatic-io/spectral/dist/testing";
const myAwsTestCredential = credentials.apiKeySecret(  process.env.AWS_ACCESS_KEY_ID,  process.env.AWS_SECRET_ACCESS_KEY);console.log(myAwsTestCredential);/*  {    authorizationMethod: 'api_key_secret',    fields: {      api_key: 'AKIAIOSFODNN7EXAMPLE',      api_secret: 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY'    }  }*/

A full list of credientials.* functions is available in the Spectral typedocs.

Credentials can then be passed in as part of the context parameter to the invoke function, using the credential key:

import { saveFile } from "./actions";import { credentials, invoke } from "@prismatic-io/spectral/dist/testing";
const myAwsTestCredential = credentials.apiKeySecret(  process.env.AWS_ACCESS_KEY_ID,  process.env.AWS_SECRET_ACCESS_KEY);
test("Test saving a file", async () => {  const { result } = await invoke(    saveFile,    {      filePath: "/path/to/file.txt",      fileContents: "Hello world!",    },    {      credential: myAwsTestCredential,    }  );});

Writing Triggers#

Integrations are usually triggered on a schedule (meaning instances of the integration run every X minutes, or at a particular time of day) or via webhook (meaning some outside system sends JSON data to a unique URL and an instance processes the data that was sent). The vast majority of integrations built in Prismatic start with a schedule trigger or webhook trigger. There are situations, though, where neither the schedule nor the standard webhook trigger are suitable for one reason or another. That's where writing your own triggers come in handy.

Triggers are custom bits of code that are similar to actions. They give you fine-grained control over how a webhook's payload is presented to the rest of the steps of an integration and what HTTP response is returned to whatever invoked the trigger's webhook URL.

Similar to an action, a trigger is comprised of display information, a perform function and inputs. Additionally, you specify if your trigger can be invoked synchronously (synchronousResponseSupport) and if your trigger supports scheduling (scheduleSupport).

Suppose, for example, a third-party app can be configured to send CSV data via webhook and requires that the webhook echo a header, x-confirmation-code, back in plaintext to confirm it got the payload. The default webhook trigger accepts JSON, and responds with an execution ID, so it's not suitable for integrating with this third-party app.

This trigger will return an HTTP 200 and echo a particular header back to the system invoking the webhook, and then it'll parse the CSV payload into an object so that subsequent steps can reference through the trigger's results.body.data:

import {  input,  trigger,  TriggerPayload,  HttpResponse,  util,} from "@prismatic-io/spectral";import papaparse from "papaparse"; // CSV Library
export const csvTrigger = trigger({  display: {    label: "CSV Webhook",    description:      "Accepts and parses CSV data into a referenceable object and returns a plaintext ACK to the webhook caller.",  },  perform: async (context, payload, { hasHeader }) => {    // Create a custom HTTP response that echos a header,    // x-confirmation-code, that was received as part of    // the webhook invocation    const response: HttpResponse = {      statusCode: 200,      contentType: "text/plain; charset=utf-8",      body: payload.headers["x-confirmation-code"],    };
    // Create a copy of the webhook payload, deserialize    // the CSV raw body, and add the deserialized object    // to the object to the trigger's outputs    const finalPayload: TriggerPayload = { ...payload };
    const parseResult = papaparse.parse(      util.types.toString(payload.rawBody.data),      {        header: util.types.toBool(hasHeader),      }    );
    finalPayload.body.data = parseResult.data;
    // Return the modified trigger payload and custom HTTP response    return Promise.resolve({      payload: finalPayload,      response,    });  },  inputs: {    // Declare if the incoming CSV has header information    hasHeader: input({      label: "CSV Has Header",      type: "boolean",      default: "false",    }),  },  synchronousResponseSupport: "invalid", // Do not allow synchronous invocations  scheduleSupport: "invalid", // Do not allow scheduled invocations});
export default { csvTrigger };

Notice a few things about this example:

  • The trigger's form is very similar to that of an action definition.
  • The response contains an HTTP statusCode, body, and contentType to be returned to the webhook caller.
  • The second argument to the perform function - payload - contains the same information that a standard webhook trigger returns. The rawBody.data presumably contains some CSV text - the body.data key of the payload is replaced by the deserialized version of the CSV data.
  • inputs work the same way that they work for actions - you define a series of inputs, and they're passed in as the third parameter of the perform function.

For another real-world example of writing a trigger, check out our tutorial on how we wrote the Salesforce trigger.

Add a Trigger to Your Component#

Once you've written a trigger, you can add it to an existing component the same way you add an action to your component, but using the triggers key:

import { csvTrigger } from "./csvTrigger";
export default component({  key: "format-name",  public: false,  display: {    label: "Format Name",    description: "Format a person's name given a first, middle, and last name",    iconPath: "icon.png",  },  actions: {    improperFormatName,    properFormatName,  },  triggers: { csvTrigger },});

Testing a Trigger#

Testing a trigger is similar to testing an action, except you use the invokeTrigger function. For example, if you want to use Jest to test the csvTrigger outlined above, your test could look like this:

import { csvTrigger } from "./triggers";import {  invokeTrigger,  defaultTriggerPayload,} from "@prismatic-io/spectral/dist/testing";
describe("test csv webhook trigger", () => {  test("verify the return value of the csv webhook trigger", async () => {    const payload = defaultTriggerPayload(); // The payload you can expect a generic trigger to receive
    payload.rawBody.data = "first,last,age\nJohn,Doe,30\nJane,Doe,31";    payload.headers.contentType = "text/csv";    payload.headers["x-confirmation-code"] = "some-confirmation-code-123";
    const expectedData = [      { first: "John", last: "Doe", age: "30" },      { first: "Jane", last: "Doe", age: "31" },    ];
    const expectedResponse = {      statusCode: 200,      contentType: "text/plain; charset=utf-8",      body: payload.headers["x-confirmation-code"],    };
    const {      result: {        payload: {          body: { data },        },        response,      },    } = await invokeTrigger(csvTrigger, null, payload, {      hasHeader: true,    });
    expect(data).toStrictEqual(expectedData);    expect(response).toStrictEqual(expectedResponse);  });});

Publishing a Component#

Package a component with webpack by running npm run build or yarn build:

$ yarn buildyarn run v1.22.10$ webpackasset icon.png 94.2 KiB [compared for emit] [from: assets/icon.png] [copied]asset index.js 92.2 KiB [emitted] (name: main)runtime modules 1.04 KiB 5 modulesmodules by path ./node_modules/@prismatic-io/spectral/ 49.6 KiB  modules by path ./node_modules/@prismatic-io/spectral/dist/types/*.js 3.92 KiB 12 modules  modules by path ./node_modules/@prismatic-io/spectral/dist/*.js 21.4 KiB    ./node_modules/@prismatic-io/spectral/dist/index.js 4.21 KiB [built] [code generated]    ./node_modules/@prismatic-io/spectral/dist/util.js 11.9 KiB [built] [code generated]    ./node_modules/@prismatic-io/spectral/dist/testing.js 5.29 KiB [built] [code generated]  ./node_modules/@prismatic-io/spectral/node_modules/jest-mock/build/index.js 24.2 KiB [built] [code generated]modules by path ./node_modules/date-fns/ 16 KiB  modules by path ./node_modules/date-fns/_lib/ 780 bytes    ./node_modules/date-fns/_lib/toInteger/index.js 426 bytes [built] [code generated]    ./node_modules/date-fns/_lib/requiredArgs/index.js 354 bytes [built] [code generated]  4 modules./src/index.ts 2.46 KiB [built] [code generated]./node_modules/valid-url/index.js 3.99 KiB [built] [code generated]webpack 5.41.1 compiled successfully in 1698 ms✨  Done in 2.86s.

This will create a dist/ directory containing your compiled JavaScript and icon image. Now use prism to publish your component. If you do not have Prismatic's CLI tool, prism, installed, please take a moment to look through the Prism overview page.

$ prism components:publish
Format Name - Format a person's name given a first, middle, and last nameWould you like to publish Format Name? (y/N): ySuccessfully submitted Format Name (v6)! The publish should finish processing shortly.

Upgrading Spectral Versions#

We release minor, non-breaking changes to Spectral often, and major changes periodically. Major changes come with major version bumps (1.x.x, 2.x.x, 3.x.x, etc).

To upgrade a component from an older major version of spectral to a new one, see our upgrade guides:

If you are building a new component, we strongly encourage you to start with the latest version of Spectral.