A business logic framework is code that facilitates creating business logic in a consistent, predictable, reusable, extensible, maintainable, scalable, and testable manner. It promotes creating business logic that is completely decoupled from its consuming technologies and helps to ensure that separation of concerns (SoC) are adhered to.
peasy-js makes it trivial to whimsically swap out UI, backend, and data frameworks in your applications by creating your business logic in a composable, reusable, scalable, and testable manner.
git clone https://github.com/peasy/peasy-js.git
npm install peasy-js
yarn add peasy-js
You can also download and add the peasy.js file to your project and reference it accordingly.
You can get started by reviewing the walk throughs below.
Run it in a client (browser)
Run it on a server (Node.js)
Run it with TypeScript (Node.js)
Sample application: This sample application is an order entry / inventory management system written with peasy-js, react, angular (with TypeScript), mongoDB, nodejs, and express.
An additional sample can be viewed using promises or using callbacks that showcases creating a business service, custom command, business rules, and wiring them up. The sample also showcases how to consume the service. To see it in action, run one or both from a command line:
A business service implementation represents an entity (e.g. users, or projects) and is responsible for exposing business functionality via commands. These commands encapsulate CRUD and other business related logic.
The command is responsible for orchestrating the execution of initialization logic, business and validation rule execution, and other logic (data proxy invocations, workflow logic, etc.), respectively, via the command execution pipeline.
A rule can be created to represent a business rule (authorization, price validity, etc.) or a validation rule (field length, required, etc.). Rules are consumed by commands and can be chained, configured to execute based on a previous rule’s execution, etc. Rules can also be configured to invoke code based on the result of their execution.
The data proxy is responsible for data storage and retrieval, and serves as an abstraction layer for data stores (database, web services, cache, etc.).
You can see all changes introduced with peasy-js 2.0 here.
All contributions are welcome, from general framework improvements to sample client consumers, proxy implementations, and documentation updates. Want to get involved? Please hit us up with your ideas. Alternatively, you can make a pull request and we'll get to it ASAP.
Please consider showing your support by starring the project.