This is a project template for C#. With a sample of 2 models which is Hotels and Rooms, in which Hotels contain Rooms.

.
└── API
	|
	├── Core (Business Process)
	|
	├── Domain (Models)
	|
	└── Infrastructure (DB Connection, Messaging etc)

API will contain REST declaration of project, Security validation and logging declaration. In controller, you should extract user name for audit from security token. logging would be using serilog and in this sample will be consume in elasticsearch. API documentation will use swashbuckle.

Core is the business process that you want to do and the place where do you want declare what technology that you want to use. StartupSetup is the class declaration which technology that you want to use. For implementation, there will be no different except if you want to use ElasticSearch as your persistent DB, because it has different style to use rather than LINQ.

This is where you put your models, BaseModel would be use for MongoDB and ElasticSearch for ID in BaseRepository.

In this template, we show how to implement several technologies that we can implement without tightly coupled between the Core and Domain. If you don't use, feel free to remove it. There are 3 main section:

Where you declare your Context, UnitOfWork and Repositories. The Models attribute should be declare in your context, not in your Domain. In this sample we can use MongoDB (4.2.3), CosmosDB (Emulator), SQLServer (14.0.3038.14 (X64) Dev Edition on Linux) and ElasticSearch (7.6.0).

This is where you declare your messaging technology, in this template there are 2 technology sample that you can use, which is Kafka (zookeeper:3.4.9 and confluentinc/cp-kafka:5.0.1) and NATS (nats-streaming:0.17.0).

This section is where do you want to upload your file to. For this template, you can upload to your file system or Azure Storage (Emulator)

IDE: visual studio code or visual studio 2019 Community Edition SDK: .net core sdk 3.1 DB: MongoDB (4.2.3), CosmosDB (Emulator), SQLServer (14.0.3038.14 (X64) Dev Edition on Linux) and ElasticSearch (7.6.0) Messaging: Kafka (zookeeper:3.4.9 and confluentinc/cp-kafka:5.0.1), NATS (nats-streaming:0.17.0). Storage: native filesystem or Azure Storage Container: Docker desktop

Install your chosen IDE, load solution, and run it. Default application should run, without any infra running, but you can not test run it. Minimum elasticsearch should run, you can run elasticsearch by using docker to simplify things.

1. use Dockerfile to build app: "docker build -t service_clean_arch ." using file Dockerfile image size 357.42 MB
2. build manually and create image (image size 357.28 MB): a. dotnet publish -c Release -o publish b. docker build -f DockerPublish -t service_clean_arch .

docker run -d --name service_clean_arch -p 80:80 service_clean_arch -e ElasticConfiguration:Uri=http://host.docker.internal:9200 -e SqlDatabaseSettings:ServerUrl="Host=host.docker.internal;Database=PropertyDB;Username=postgres;password=postgres;"

Unit testing