jsonweaver

jsonweaver is a powerful and easy-to-use library for transforming JSON data into popular formats such as CSV, XML, Markdown tables, YAML, and JSONLines (NDJSON).

Features

• 🚀 Convert to CSV: Easily transform JSON arrays into CSV files, with optional header mapping and nested object flattening.
• 📄 Generate Markdown tables: Convert JSON arrays into neatly formatted Markdown tables.
• 📂 Convert to XML: Transform JSON objects into well-structured XML.
• 📜 Convert to YAML: Seamlessly transform JSON into YAML format for configuration files and more.
• 📦 Convert to JSONLines (NDJSON): Convert JSON arrays to JSONLines format for large-scale data processing and streaming.
• 🛠️ Batch processing: Process large datasets in customizable batches.
• 🔍 Validate JSON with JSON Schema: Ensure your JSON conforms to specified schemas.
• 🔧 Compatible with JavaScript and TypeScript: Ideal for modern projects.

Installation

Install using npm:

npm install jsonweaver

Or using Yarn:

yarn add jsonweaver

Usage

Importing

Javascript:

const { jsonweaver } = require("jsonweaver");

TypeScript:

import { jsonweaver } from "jsonweaver";

Examples

JSON to CSV (Basic usage)

const json = [
  { name: "Alice", age: 25 },
  { name: "Bob", age: 30 },
];

const csv = jsonweaver.toCSV(json);
console.log(csv);

Using custom headers (renaming keys):

const headerMapping = {
  name: "Full Name",
  age: "Years",
};

const csvWithHeaders = jsonweaver.toCSV(
  json,
  jsonweaver.customCSVFieldGenerator(headerMapping)
);
console.log(csvWithHeaders);

Handling nested objects (automatic flattening):

const nestedJson = [
  { name: "Alice", details: { age: 25, city: "Wonderland" } },
  { name: "Bob", details: { age: 30, city: "Gotham" } },
];

const csvFlattened = jsonweaver.toCSV(nestedJson);
console.log(csvFlattened);

JSON to XML

const json = { name: "Alice", age: 25, city: "Wonderland" };
const xml = jsonweaver.toXML(json);
console.log(xml);

JSON to Markdown Table

const json = [
  { name: "Alice", age: 25 },
  { name: "Bob", age: 30 },
];
const markdownTable = jsonweaver.toMarkdownTable(json);
console.log(markdownTable);

JSON to YAML

const json = { name: "Alice", age: 25, city: "Wonderland" };
const yaml = jsonweaver.toYaml(json);
console.log(yaml);

JSON to JSONLines (NDJSON)

const json = [
  { name: "Alice", age: 25 },
  { name: "Bob", age: 30 },
];
const jsonLines = jsonweaver.toJsonLines(json);
console.log(jsonLines);

JSON to JSONLines Stream:

const stream = jsonweaver.toJsonLinesStream(json);
stream.on("data", (chunk) => {
  console.log(chunk.toString());
});
stream.on("end", () => {
  console.log("Stream ended.");
});

Validate JSON Schema

const schema = {
  type: "object",
  properties: {
    name: { type: "string" },
    age: { type: "number" },
  },
  required: ["name", "age"],
};

const data = { name: "Alice", age: 25 };
jsonweaver.validateJsonSchema(data, schema);

Batch Processing

const largeArray = Array.from({ length: 1000 }, (_, i) => ({ id: i }));

await jsonweaver.batchProcess(largeArray, 100, async (batch, batchIndex) => {
  console.log(`Processing batch ${batchIndex}`, batch);
});

API

Function	Description
toCSV(json: object[], fieldGenerator?)	Converts an array of JSON objects into a CSV string.
toXML(json: object, options?)	Converts a JSON object into an XML string.
toMarkdownTable(json: object[])	Converts an array of JSON objects into a Markdown table.
toYaml(json: object)	Converts a JSON object into a YAML string.
toJsonLines(json: object[], options?)	Converts an array of JSON objects into JSONLines format.
toJsonLinesStream(json: object[])	Creates a stream of JSONLines from an array of JSON objects.
validateJsonSchema(json: object, schema: object)	Validates a JSON object against a schema.
batchProcess(data: object[], batchSize: number, processor: (batch, index) => Promise<any>)	Processes data in batches asynchronously.

Requirements

• Node.js version 14.0.0 or higher.

Contribution

Feel free to open issues or submit pull requests to improve jsonweaver. All contributions are welcome! 🌟

1. Fork the repository.
2. Create a branch for your feature: git checkout -b my-feature.
3. Make your changes and commit: git commit -m 'My awesome feature'.
4. Push to the repository: git push origin my-feature.
5. Open a pull request on GitHub.

License

This project is licensed under the terms of the MIT License.