Queue management system. Serverless

The electronic queue system allows you to automate the management of client flows

Context

The admin manages the system. The service has a name and a description. The service point has a serial number. A service point may provide multiple services. The specialist works at the service point. The specialist provides the necessary service to the client The queue may take precedence. example: Paid and free

Flow

The client comes. The client opens the site "www.queue.example". He chooses the service he needs. The system puts him in line He gets a number in line. He sees the monitor and waits for his turn. When the service point is ready to serve the next client, the system calls next client to a service point. When it's his turn, he sees the name of the service point he needs to go to. He comes to the service center. The specialist serves the client. The client receives the service. Specialist customer service. The client leaves. Specialist serving the next client

External clients

Administrator

It manages the service points. It manages lists of services. It assigns a service to a service point.

Point of service

It shows the name of the service point. Shows status - active/inactive

Specialist

It activates/deactivates the service point. It marks the client as served/not shown.

Monitor in the hall

Shows information about the queue. It shows which point of service the customer needs to contact.

Customer who needs a service

He chooses the service he needs and puts the number in the queue. It gets information about the queue "How many people are in the queue"

Usage

Deployment

In order to deploy the example, you need to run the following command:

serverless deploy

After running deploy, you should see output similar to:

Deploying aws-node-project to stage dev (us-east-1)

✔ Service deployed to stack aws-node-project-dev (112s)

functions:
  hello: aws-node-project-dev-hello (1.5 kB)

Invocation

After successful deployment, you can invoke the deployed function by using the following command:

serverless invoke --function hello

Which should result in response similar to the following:

{
  "statusCode": 200,
  "body": "{\n  \"message\": \"Go Serverless v3.0! Your function executed successfully!\",\n  \"input\": {}\n}"
}

Local development

You can invoke your function locally by using the following command:

serverless invoke local --function hello

Project structure

- name-serverless-project/
  - .serverless/                            # Generated by the Serverless Framework, contains deployment-related files
  - node_modules/                           # Node.js dependencies
  - src/                                    # Source code
    - functions/                            # AWS Lambda functions
      - function/                           # Single function module
        - handler.ts                        # Lambda function handler, entry point for the function
        - [businessLogicFunction].ts        # Business logic for this function
        - [businessLogicFunction].spec.ts   # Unit tests for the business logic function
      - groupFunction/                      # Group of related functions
        - function1/                        # Function 1 in the group
          - handler.ts                      # Lambda function handler for function 1
          - [businessLogicFunction].ts      # Business logic for function 1
          - [businessLogicFunction].spec.ts # Unit tests for the business logic of function 1
        - function2/                        # Function 2 in the group
          - handler.ts                      # Lambda function handler for function 2
          - [businessLogicFunction].ts      # Business logic for function 2
          - [businessLogicFunction].spec.ts # Unit tests for the business logic of function 2
        - ...
      - ...
    - libs/                                 # Shared libraries and utility functions
      - db.ts                               # Database connection and operations
      - ...
    - ...
  - resources/                              # Infrastructure and resource definitions
    - rds-postgres.yml                      # DB definitions
    - cognito.yml                           # AWS Cognito configuration
    - functions                             # AWS Lambda functions' resource definitions
    - ...
  - serverless.yml                          # Main configuration file for the Serverless Framework

OchirDarmaev / queue-management-system