Candidate Data Processing Script

This Python script is designed to fetch, process, and display candidate data from a given URL. It consists of three main steps: data extraction, data transformation, and output generation.

Overview

The script performs the following operations:

1. Data Extraction: Fetches raw candidate data from a given URL using the DataExtractor class.
2. Data Transformation: Processes the raw data to extract and structure the relevant information using the DataTransformer class.
3. Output Generation: Displays the processed data on the console using the OutputGenerator class.

Design Decisions

The implementation was divided into three core components to ensure clarity, maintainability, and scalability:

• Data Extraction:
  The DataExtractor class fetches raw data from a given source, such as a URL, text file, or JSON file. This modular design allows for easy extension to support different data sources without affecting other parts of the application.

• Data Transformation:
  The DataTransformer class processes and structures the data. Isolating this logic makes it easier to maintain and adapt if the data format changes.

• Output Generation:
  The OutputGenerator class handles displaying the processed data. This separation allows for easy adjustments to how data is presented (e.g., in a GUI or file export) without impacting data extraction or transformation.

This separation of concerns follows the principles of modular design, allowing each class to focus on a specific task and making it easier to maintain and extend the application in the future.

Requirements

No external libraries or dependencies are required to run this script. It uses only standard Python libraries.

Usage

Step 1: Clone the Repository

First, clone the repository to your local machine:

git clone "https://github.com/arik-leikin-hs/HomeAssignment.git"

Step 2: Modify the URL

If you would like to fetch data from a different URL, open the main.py file and locate the following line:

CANDIDATES_URL = "<URL-SAMPLE>"

Step 3: Run the Script

python main.py