| # ObjectSchema Package |
| |
| ## Overview |
| |
| A JavaScript object merge/validation utility where you can define a different merge and validation strategy for each key. This is helpful when you need to validate complex data structures and then merge them in a way that is more complex than `Object.assign()`. This is used in the [`@eslint/config-array`](https://npmjs.com/package/@eslint/config-array) package but can also be used on its own. |
| |
| ## Installation |
| |
| For Node.js and compatible runtimes: |
| |
| ```shell |
| npm install @eslint/object-schema |
| # or |
| yarn add @eslint/object-schema |
| # or |
| pnpm install @eslint/object-schema |
| # or |
| bun add @eslint/object-schema |
| ``` |
| |
| For Deno: |
| |
| ```shell |
| deno add @eslint/object-schema |
| ``` |
| |
| ## Usage |
| |
| Import the `ObjectSchema` constructor: |
| |
| ```js |
| // using ESM |
| import { ObjectSchema } from "@eslint/object-schema"; |
| |
| // using CommonJS |
| const { ObjectSchema } = require("@eslint/object-schema"); |
| |
| const schema = new ObjectSchema({ |
| // define a definition for the "downloads" key |
| downloads: { |
| required: true, |
| merge(value1, value2) { |
| return value1 + value2; |
| }, |
| validate(value) { |
| if (typeof value !== "number") { |
| throw new Error("Expected downloads to be a number."); |
| } |
| }, |
| }, |
| |
| // define a strategy for the "versions" key |
| version: { |
| required: true, |
| merge(value1, value2) { |
| return value1.concat(value2); |
| }, |
| validate(value) { |
| if (!Array.isArray(value)) { |
| throw new Error("Expected versions to be an array."); |
| } |
| }, |
| }, |
| }); |
| |
| const record1 = { |
| downloads: 25, |
| versions: ["v1.0.0", "v1.1.0", "v1.2.0"], |
| }; |
| |
| const record2 = { |
| downloads: 125, |
| versions: ["v2.0.0", "v2.1.0", "v3.0.0"], |
| }; |
| |
| // make sure the records are valid |
| schema.validate(record1); |
| schema.validate(record2); |
| |
| // merge together (schema.merge() accepts any number of objects) |
| const result = schema.merge(record1, record2); |
| |
| // result looks like this: |
| |
| const result = { |
| downloads: 75, |
| versions: ["v1.0.0", "v1.1.0", "v1.2.0", "v2.0.0", "v2.1.0", "v3.0.0"], |
| }; |
| ``` |
| |
| ## Tips and Tricks |
| |
| ### Named merge strategies |
| |
| Instead of specifying a `merge()` method, you can specify one of the following strings to use a default merge strategy: |
| |
| - `"assign"` - use `Object.assign()` to merge the two values into one object. |
| - `"overwrite"` - the second value always replaces the first. |
| - `"replace"` - the second value replaces the first if the second is not `undefined`. |
| |
| For example: |
| |
| ```js |
| const schema = new ObjectSchema({ |
| name: { |
| merge: "replace", |
| validate() {}, |
| }, |
| }); |
| ``` |
| |
| ### Named validation strategies |
| |
| Instead of specifying a `validate()` method, you can specify one of the following strings to use a default validation strategy: |
| |
| - `"array"` - value must be an array. |
| - `"boolean"` - value must be a boolean. |
| - `"number"` - value must be a number. |
| - `"object"` - value must be an object. |
| - `"object?"` - value must be an object or null. |
| - `"string"` - value must be a string. |
| - `"string!"` - value must be a non-empty string. |
| |
| For example: |
| |
| ```js |
| const schema = new ObjectSchema({ |
| name: { |
| merge: "replace", |
| validate: "string", |
| }, |
| }); |
| ``` |
| |
| ### Subschemas |
| |
| If you are defining a key that is, itself, an object, you can simplify the process by using a subschema. Instead of defining `merge()` and `validate()`, assign a `schema` key that contains a schema definition, like this: |
| |
| ```js |
| const schema = new ObjectSchema({ |
| name: { |
| schema: { |
| first: { |
| merge: "replace", |
| validate: "string", |
| }, |
| last: { |
| merge: "replace", |
| validate: "string", |
| }, |
| }, |
| }, |
| }); |
| |
| schema.validate({ |
| name: { |
| first: "n", |
| last: "z", |
| }, |
| }); |
| ``` |
| |
| ### Remove Keys During Merge |
| |
| If the merge strategy for a key returns `undefined`, then the key will not appear in the final object. For example: |
| |
| ```js |
| const schema = new ObjectSchema({ |
| date: { |
| merge() { |
| return undefined; |
| }, |
| validate(value) { |
| Date.parse(value); // throws an error when invalid |
| }, |
| }, |
| }); |
| |
| const object1 = { date: "5/5/2005" }; |
| const object2 = { date: "6/6/2006" }; |
| |
| const result = schema.merge(object1, object2); |
| |
| console.log("date" in result); // false |
| ``` |
| |
| ### Requiring Another Key Be Present |
| |
| If you'd like the presence of one key to require the presence of another key, you can use the `requires` property to specify an array of other properties that any key requires. For example: |
| |
| ```js |
| const schema = new ObjectSchema(); |
| |
| const schema = new ObjectSchema({ |
| date: { |
| merge() { |
| return undefined; |
| }, |
| validate(value) { |
| Date.parse(value); // throws an error when invalid |
| }, |
| }, |
| time: { |
| requires: ["date"], |
| merge(first, second) { |
| return second; |
| }, |
| validate(value) { |
| // ... |
| }, |
| }, |
| }); |
| |
| // throws error: Key "time" requires keys "date" |
| schema.validate({ |
| time: "13:45", |
| }); |
| ``` |
| |
| In this example, even though `date` is an optional key, it is required to be present whenever `time` is present. |
| |
| ## License |
| |
| Apache 2.0 |
| |
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