/node-mongo-rabbitmq-docker-microservices

Primary LanguageJavaScript

Overview:

System that implement support-chat - agent queuing.

Entities:

  1. Agent - people who communicate with end-customer to provide support
  2. Channel - place of communication between end-customer and agent
  3. End-customer - people who have some question to resolve.

Task:

  1. Implement 2 micro-services. "Channel-Svc" and "Agent-Svc". Channel-Svc maintain the channels and assign/unassigning participants to it. Agent-Svc maintaining agents
  2. Agent (part of Agent-Svc) schema: 
    {
   id: String,
   firstName: String,
   lastName: String,
   workingHours: {start: String, end: String} 
}
  3. Agent-Svc Api:
    • Create Agent: HTTP(POST)
    • Update Agent: HTTP(PUT)
    • Get list of Agents: HTTP(GET)/RabbitMQ
    • Get agent by ID: HTTP(GET)/RabbitMQ
  4. Channel schema (part of channel-Svc): 
    {
   id: String,
   channelName: String,
   travelerId: ?String,
   agentId: ?String,
   isActive: Boolean
}
  5. Channel-SVC API:
    • Create new channel params: travelerId api: HTTP(POST) description: Creates new channel and assigning an agent to this channel. Agent with minimum number of active channels and appropriate working hours should be used. If there are some active channels with same travelerId they should be closed (isActive -> false)
    • Close Channel. HTTP(POST).
  6. Each hour channel service should check agents that assigned to active channels and if they out of office should try to assign another agent
  7. If there is no agent for channel because of working hours agentId should be null (but still each hour channel-svc should try to find someone)
  8. All communications between channel-svc and agent-svc should be done through rabbitMQ

Technologies:

  1. Express
  2. Mongo db
  3. RabbitMQ
  4. Docker/Docker-compose

How to start up the project

Requirements

  • *NIX terminal (Linux bash, zsh, WSL)
  • Docker

Run locally

Step 1. Go to project dir:

cd /path/to/project

Step 2. Install dependencies (OPTIONAL):

make install

Step 3. Start services:

make up