douglassantanna/pandora-intelligence-assessment

Pandora intelligence assessment

This project was developed as an assessment for Pandora Intelligence. It integrates with an Open Data API and an Entity Framework Core InMemory Database. Whenever a call is made to retrieve vehiclevoertuigsoort information, the information is persisted in the database if the vehicle is found. If the vehicle is not found, the user will receive a NotFound. This allows users to search for previously searched vehicles in the local database. The project includes both unit and integration tests to ensure quality.

Prerequisites

Before you can run the project, you must have the following software installed on your machine:

• .NET 7 SDK
• Docker

Running the project

To run the project, follow these steps

1.Clone the repository to your machine

git clone https://github.com/douglassantanna/pandora-intelligence-assessment

2.Navigate to the project directory

cd pandora-intelligence-assessment

3.Build the Docker image:

docker build -t pandora-api .

4.Run the Docker container

docker run -p 8080:80 pandora-api

Making HTTP calls

To make an HTTP call to the API, you must include the following key in the header:

"Pandora-Api-Key": "pandoraassessment"

• To make an HTTP call to the API in this project, you can: copy and paste the following URL in your browser

http://localhost:8080/swagger/index.html

• use Postman, or any API platform, to make GET calls to the following URLs:

http://localhost:8080/api/pandora/place-here-the-vehicle-plate

http://localhost:8080/api/pandora/addedvehicles?pageSize=10&pageIndex=0&sort=asc

Note that the response is paginated, which means you can adjust the number of vehicles displayed per page, as well as change the page index.