This is my first major full-fledged project through which I learnt the Clean Architecture principles.

The project uses the complete .NET Stack from Blazor to ASP.NET Core 6.0, backed with Microsoft SQL Server. It also uses other open source components such as MudBlazor, LazyCache, AutoMapper, HangFire, MediatR

Steps to run this project

• Normal build (This uses a normal SQL Server instance)

  • Make sure you have .NET 6.0 Sdk installed in your machine.
  • Open /Quark.Server/Properties/launchSettings.json file using any code editor.
  • Go the Quark.Server profile under profiles key.
  • Under environmentVariables, modify the value of DbServer from localhost to your own SQL Server address. If you are using LocalDB, change it to (localdb)/SQLLocalDB. Also it is recommended to update the DbUser and DbPassword variables.
  • If you are using Visual Studio, simply start the application in Quark.Server launch profile.
  • If you are using Visual Studio code, use dotnet run in the terminal.
  • Make sure the SQL Server is properly accessible.

• Using docker (This uses SQL Server inside docker container)

  • Install Docker Desktop(For windows and macOS users) or Docker CE(For Linux users). Note that using docker in windows requires a proper installation of WSL 2.
  • Download this repository zip file and extract the solution files into folder of your wish.
  • Open a terminal at the that folder . Type docker-compose up and press enter. This command creates 2 container images, each for the ASP.NET Core app and SQL Server, after which both the containers start running.
  • Open your browser and browse to https://localhost:8080 to run the web app.
  • Alternatively, the application can be run through Visual Studio, by choosing the Quark.Server(Kestrel) as launch profile, which runs at https://localhost:5001 without docker. But this step requires the SQL server container to be running, which can be started from Docker desktop if not running previously.
  • Similarly, if using Visual Studio Code, simply use dotnet run in the terminal and browse https://localhost:5001, while ensuring the SQL Server container is running