Based on the mail both tasks were completed.

Frontend challenge: https://github.com/squirro/frontend-coding-challenge

Backend challenge: Attached

This repository contains both frontend and backend projects for the Squirro coding challenge. The backend serves as a mock API for bookstores, and the frontend displays the best-selling books for each bookstore as provided by the backend.

The project is divided into two main directories:

• frontend-coding-challenge: Contains the frontend React application and the mock backend API.
• newyork_times: Contains a Python script for fetching and processing articles from the New York Times API.

The frontend is built with React and fetches data from the mock backend to present a list of bookstores and their best-selling books.

1. Navigate to frontend-coding-challenge/bookstore-frontend.
2. Run npm install to install dependencies.
3. Start the app with npm start.

A mock JSON:API server implemented in index.js providing bookstore data.

1. Navigate to frontend-coding-challenge/book-store-api.
2. Run npm install to install dependencies.
3. Start the server with npm start.

• Ensure the backend server is running before starting the frontend application.
• Adjust the API endpoints in the frontend configuration if backend runs on a different port or if you are using an external API service.

1. App that lists best-selling books for each bookstore: The frontend should make use of App.js and Bookstore.js to render this information.

2. JSON:API based application (Backend): The backend API is provided in index.js.

3. Wireframe representation: The frontend should match the wireframe provided in the task description.

4. Circle markers representation: Each requirement represented by the circle markers in the wireframe should be implemented.

5. Usage of the REST Countries API for flags: The App.js file contains a function that constructs the URL for the country flags, and Bookstore.js uses this URL to display the flag image.

6. output.png is the screenshot of the wireframe based frontend page.

A Python script for fetching and processing articles from the New York Times API.

1. Ensure you have Python installed.
2. Navigate to newyork_times.
3. Run pip3 install -r requirements.txt to install dependencies.
4. API-KEY-VALUE needs to be updated with key value in NewYork.py.
5. Execute the script with python3 NewYork.py.

Each part of the project includes its own README.md with detailed instructions. Please follow the instructions in each subdirectory to get each part of the project running.

1. New York Times API Utilization: The NewYork.py file you provided earlier appears to handle the communication with the New York Times API. It fetches articles based on a query and processes them in batches as required.

2. NYTimesSource Class Structure: The class in NewYork.py matches the expectation for a data loader plugin for the NY Times API.

3. Batched Results: The getDataBatch method in NewYork.py uses a generator to yield articles in batches.

4. Dictionary Flattening: The flatten_dict method in NewYork.py is implemented without third-party libraries, which satisfies the requirement.

5. No Third-Party Libraries for Flattening: Confirmed by reviewing NewYork.py; the flattening is custom-coded.

6. requirements.txt: This file is needed to specify dependencies. Since the requests library is used, this should be listed in requirements.txt.

7. output.txt has the output of the script execution.