#DogHouseService: DogHouseService is a REST API for managing dog information. The project is implemented using .NET Core with CQRS and Mediator design patterns, following Clean Architecture principles. The API supports CRUD operations, sorting, pagination, and request rate limiting.

#Table of Contents:

• Features
• Architecture
• API Usage
• Project Setup

#Features:

• Ping Endpoint: Check the service's availability.
• CRUD Operations for Dogs: Create, read.
• Sorting and Pagination Support: Queries can be sorted by various attributes and support pagination.
• Rate Limiting: Protection against excessive requests using the Token Bucket algorithm.
• Clean Architecture: The project follows Clean Architecture principles with layer separation.
• Tests: Includes unit tests for handlers, mappers, and middleware.

#Architecture The project is implemented according to Clean Architecture principles:

• DogHouseService.Domain: Contains domain entities and interfaces.
• DogHouseService.Application: Implements business logic using CQRS and Mediator patterns. Contains command and query handlers, DTOs, and validators.
• DogHouseService.Infrastructure: Includes repository implementations, middleware, and database configuration.
• DogHouseService.API: Contains controllers and service configuration for Dependency Injection.
• DogHouseService.Tests: Includes unit tests for business logic and middleware.

#API Usage:

1. Check Service Availability (Ping) GET /api/ping Returns respond "Dogshouseservice.Version1.0.1"

2. Get Dogs GET /api/dogs Query parameters: attribute (optional): Attribute to sort by (name, color, tail_length, weight). order (optional): Sort order (asc, desc). Defaults to asc. pageNumber (optional): Page number for pagination. pageSize (optional): Number of records per page.

3. Create a Dog POST /api/dogs Request body: { "name": "Doggy", "color": "Red", "tail_length": 173, "weight": 33 }

#Project Setup:

1. Clone the Repository : git clone https://github.com/GrinchArt/DogHouseService.git
2. Configure the Database
3. Run migrations to create the database
4. Start the Project