ddl-tools v1.0.1

ddl-tools

A digital data layer helper utility for highly-decoupled analytics reporting. This utility includes a limited number of general-use functions and supports external data layer schema validation (see ddl-validator). It can also be extended to provide additional functionality by passing specialized plugins to the use function.

Installation

Via yarn:

yarn add 'ddl-tools'

Via npm

npm install --save 'ddl-tools'

Usage

Instantiation

To use, you will need to import the DDLTools class, which is the default export of the ddl-tools package. You will also need a DDL validator, which you can either custom-build or just use the ddl-validator package. You will also require a DDL schema, which is typically a custom-built JSON Schema.

Next you will want to create an instance of the DDL validator, passing it your schema. Finally, you will create a DDLTools object, passing a reference to the digital data object you wish to use (such as window.digitalData) as well as the DDL validator instance.

For example:

import DDLTools from 'ddl-tools';
import DDLValidator from 'ddl-validator';
import schema from './path/to/mySchema';

const ddlValidator = new DDLValidator(schema);
const ddlTools = new DDLTools(window.digitalData, ddlValidator);

Configuration

You will also probably want to configure your DDLTools instance. This can be done by either passing a plain configuration object as a third parameter to the constructor, or by calling configure() method and passing the plain configuration object at that time.

const ddlConfig = {
  reset: {
    exclude: ['user'],
  },
  emitEvents: true,
};
const ddlTools = new DDLTools(window.digitalData, ddlValidator, ddlConfig);

ddlTools.configure(ddlConfig);

Plugins

One major benefit of ddl-tools is the use of the convenience methods loaded via plugins. These are loaded via the use method.

import pageDeepPlugin from 'ddl-tools-plugin-page-deep';
ddlTools.use(pageDeepPlugin);

Operations

Once instantiated, you may perform a myriad of operations to manipulate the digital data object. For example, to process a new page after a hash change in a single page application, you might reset the digital data layer and set the page name.

ddlTools
  .reset()
  .set('page.pageInfo.pageName', 'cart:review');

Or, you might prefer to do the same with the ddl-tools-plugin-page-deep plugin:

ddlTools
  .reset()
  .setPageName('cart:review');

You can also use ddl-tools to retrieve the values (although it's basically just a thin wrapper around Lodash's get method).

ddlTools.get('page.pageInfo.pageName');

See the Technical Documentation for more details about what is possible.

Technical Documentation

• ddl-tools
• ddl-validator
• ddl-tools-plugin-cart-deep
• ddl-tools-plugin-cart
• ddl-tools-plugin-event
• ddl-tools-plugin-page-deep
• ddl-tools-plugin-page
• ddl-tools-plugin-product
• ddl-tools-plugin-transaction-deep
• ddl-tools-plugin-transaction
• ddl-tools-plugin-user

Local Installation

These steps are not necessary (nor useful) for normal use. These steps are only necessary to view the source or run tests.

To install locally, clone this repository, install dependencies, and build it.

git clone https://github.com/dash-/mono-ddl-tools.git
cd mono-ddl-tools/packages/ddl-tools
yarn install
npm run build

Tests

To run the unit tests, you must have this package installed locally.

Once you have this package installed locally, from the package's base directory, run npm run test.

ddl-tools $ npm run test

> ddl-tools@0.0.1 pretest mono-ddl-tools/packages/ddl-tools
> npm run -s lint

Lint finished...


> ddl-tools@0.0.1 test mono-ddl-tools/packages/ddl-tools
> jasmine test/specs/**/*Spec.js

Started
.................


17 specs, 0 failures
Finished in 0.024 seconds

Contribute

The easiest way to contribute is to submit issues on GitHub. We welcome feedback and deeply appreciate your contribution of an issue for:

• Improvement ideas
• Feature requests
• Bugs

Of course, code contributions are welcome as well!

To contribute code to this project, first fork the monorepo in GitHub, create a feature or bug branch, and commit code to the branch. You can then create a PR against the main repository. More information can be found on this topic in Rob Allen's guide:

• The beginner's guide to contributing to a GitHub project