The @fnet/expression
project is designed to help users parse and analyze structured expressions that consist of processor and statement components. This tool can be particularly useful for those who need to dissect complex expressions into more manageable parts, allowing for easier understanding and processing.
The project works by taking a structured expression and breaking it down into its basic components: processors and statements. It uses a recursive parsing method to handle nested expressions while respecting a maximum depth to prevent too deep recursion. The expression is analyzed to extract all processors, presenting a clear hierarchy and order of the components.
- Recursive Parsing: Efficiently breaks down expressions into individual components, even handling nested structures.
- Processor Extraction: Gathers all processor elements from the expression, providing an ordered list.
- Depth Management: Prevents overly deep recursion by setting a limit, ensuring performance and reliability.
The @fnet/expression
project is a straightforward and practical tool for parsing and analyzing structured expressions. It offers users a reliable method to dissect intricate expressions into simpler parts, making them easier to work with and understand.
The @fnet/expression
library is designed to parse and dissect custom string expressions into their respective components, allowing developers to easily manage structured data expressions. The library's primary functionality allows users to break down expressions into processors and statements, even supporting nested expressions up to a specified depth. This enables structured parsing of expressions for various use cases such as data processing pipelines, configuration management, or templating systems.
To use @fnet/expression
in your project, you can install it via npm or yarn:
npm install @fnet/expression
yarn add @fnet/expression
Here's a practical example of how to use the @fnet/expression
library to parse a custom expression format and retrieve its components:
import parseExpression from '@fnet/expression';
// Example expression string
const myExpression = 'filter::sort::capitalize::Transform this text';
// Parse the expression
const parsedData = parseExpression({ expression: myExpression });
// Display the parsed components
console.log(parsedData);
Below are some examples demonstrating common use cases of the library:
import parseExpression from '@fnet/expression';
const expression = 'process1::step2::finalize::Process the data fully';
const result = parseExpression({ expression });
console.log(result);
// Expected Output
// {
// processor: 'process1',
// statement: 'step2::finalize::Process the data fully',
// expression: 'process1::step2::finalize::Process the data fully',
// process: {
// statement: 'Process the data fully',
// order: ['process1', 'step2', 'finalize']
// },
// next: {
// processor: 'step2',
// ...
// }
// }
The library can handle nested expressions and limit recursion depth to maintain performance and avoid infinite loops:
import parseExpression from '@fnet/expression';
const nestedExpression = 'outer::inner::deepest::Execute the chain';
const parsedResult = parseExpression({ expression: nestedExpression, depth: 3 });
console.log(parsedResult);
// Expected Output includes structured breakdown of each level,
// showing processors and statements for each nested level
The development of @fnet/expression
was guided by community-driven requirements and contributions. The structure and approach for parsing expressions are inspired by best practices in data parsing and processing.
$schema: https://json-schema.org/draft/2020-12/schema
title: Expression Parsing
type: object
properties:
expression:
type: string
description: The expression to be parsed.
required:
- expression