Browser Chat is a WebSocket based Chat system developed with .NET technologies. It includes a bot which attends specific commands.
- Login/Register user accounts to access the Chat Rooms
- Select one or more Chat Rooms and start sending posts
- Interact with a chatbot using the following commands:
Command Description /stockcompany Returns a list with some of the company codes available at https://stooq.com/ /stock=<company_code> Returns the quote per share of the selected company
Browser Chat uses the following frameworks, technologies and libraries:
- [ASP.NET Core 6.0] - For Rest API Services and MVC based web system
- [SignalR] - For WebSocket based message delivery
- [RabbitMQ] - For handling command requests between Rest API and a decoupled bot
- [MassTransit RabbitMQ] - For abstracting RabbitMQ underlying logic
- [AutoMapper] - For mapping internal structures into external models
- [MediatR] - For simplifying Rest API Controllers with mediator design pattern
- [JSON Web Token] - For restricting access and interactions with the system only for users correctly logged in
- [CSVHelper] - For parsing CSV content
The installation is based on Kubernetes Deployment so it requires Docker platform installed with Kubernetes enabled.
For detailed instructions on how to enable Kubernetes, use the following address: https://docs.docker.com/desktop/kubernetes/
After the required software is implemented go to the Install directory and run the install.bat file. This will install the following components:
| Component | Description |
|---|---|
| RabbitMQ | Message broker for handling bot command requests |
| Security Service MSSQL Database | MSSQL instance for users management |
| Backend Service MSSQL Database | MSSQL instance for rooms and posts storage |
| Security Service | Rest API Service for users management |
| Backend Service | Rest API Service for rooms and posts endpoints. Also works as a SignalR Hub |
| Web Client | User interface |
| Bot Service | Queue based microservice for handling command requests |
warning: the installation process is based on timeouts which varies for each component so it is recommended to have a proper Internet access for the deployment to download the docker images on time.
Once the installation process finishes, you can access the Browser Chat following this address: http://localhost:30101/