https://github.com/kiranwankhade/dataneuron_backend

https://github.com/kiranwankhade/dataneuron_backend

Last synced: about 16 hours ago
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• Host: GitHub
• URL: https://github.com/kiranwankhade/dataneuron_backend
• Owner: kiranwankhade
• Created: 2024-04-09T11:50:38.000Z (7 months ago)
• Default Branch: master
• Last Pushed: 2024-04-10T07:25:09.000Z (7 months ago)
• Last Synced: 2024-04-23T05:07:20.707Z (7 months ago)
• Language: JavaScript
• Size: 3.03 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# DataNeuron Backend API

The DataNeuron Backend API provides a simple interface to add, update, and track data entries, along with counting the operations performed. This document outlines the available endpoints and how to interact with them.

## Base URL

The API is currently deployed at: [https://dataneuron-backend-kp89.onrender.com](https://dataneuron-backend-kp89.onrender.com)

## Endpoints

### 1. Get Data

- **Endpoint:** `/task/`

- **Method:** `GET`

- **Description:** Fetches all the data entries from the backend.

- **Response:** An array of data objects.

### 2. Create Data

- **Endpoint:** `/task/create`

- **Method:** `POST`

- **Description:** Adds a new data entry.

- **Body:**

  ```json

  {

    "task": "Sample data",

    "description": "Additional information"

  }

- **Response:** An array of data objects.

### 3. Update Data

- **Endpoint:** `/task/update/${id}`

- **Method:** `PATCH`

- **Description:** Update the Existing data.

- **Body:**

  ```json

  {

    "task": "Updated data",

    "description": "Additional Updated information"

  }

- **Response:**  The updated data object.

### 4. Get Count

- **Endpoint:**  `/task/getCount`

- **Method:** `GET`

- **Description:** Retrieves the count of add and update operations performed.

- **Body:**

  ```json

  {

    "addCount": 5,

    "updateCount": 3

  }

- **Response:**  Get the updated Counts of operations.

## Deployed Backend

The backend for this project is deployed on Render and can be accessed here: (https://github.com/kiranwankhade/DataNeuron_Backend).

This setup ensures a seamless flow for managing and tracking data entries through a simple and intuitive API.