data.js


Overview

The data.js file implements a simple in-memory data storage API designed to handle HTTP requests for adding and retrieving text entries. It exports a default function api that acts as a handler for incoming requests, simulating a backend endpoint. This file is primarily used for prototyping or lightweight serverless functions where persistent storage is not required.

Key features include:


Detailed Explanation

Variables

data

Functions

shouldFail()

function shouldFail() : boolean
if (shouldFail()) {
  // simulate failure logic
}

Default Exported Function: api(req, res)

export default function api(req: Request, res: Response): void

Behavior

POST Request
GET Request

Usage Example

// Simulate a POST request to add a new text:
api(
  { method: 'POST', body: JSON.stringify({ text: 'Hello World' }) },
  { json: (data) => console.log('POST response:', data) }
);

// Simulate a GET request to fetch all texts:
api(
  { method: 'GET' },
  { json: (data) => console.log('GET response:', data) }
);

Important Implementation Details


Interaction with Other Parts of the System

This file functions as a lightweight backend API endpoint and is likely called by frontend components or services responsible for:

It does not interact directly with databases or external APIs but serves as a mock or stub backend during development or testing phases.


Mermaid Diagram: Flowchart of Main Functions and Their Relationships

flowchart TD
    A[Start: api(req, res)] -->|req.method === 'POST'| B{shouldFail()}
    B -- No --> C[Parse req.body JSON]
    C --> D[Push body.text to data array]
    D --> E[res.json(data)]
    B -- Yes --> E
    A -->|req.method !== 'POST'| F[GET request]
    F --> G[setTimeout(2s delay)]
    G --> E

Summary

The data.js file provides a minimalistic, in-memory API endpoint simulating data storage and retrieval with injected failure and latency behaviors. It is ideal for frontend development and testing scenarios but is not suitable for production due to its lack of persistence, error handling, and scalability considerations. The module exposes a single API function that distinguishes POST and GET requests to add or fetch data respectively, while using utility functions and asynchronous timing to mimic real backend characteristics.