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tapas-task-management's Introduction

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Quick-Start Guide

  1. Deploy all micro-services locally or on the VM (via Docker)
  2. Send a POST request to the executor-pool micro-service to register executors (more detailed information on how to do that in the README)
    1. For Calculator: Use “CALCULATING” as “executorType” and “http://tapas-executor-calculator:8084/” as “executorBaseUri”
    2. For ChatGPT: Use “PROMPTING” as “executorType” and “http://tapas-executor-chatgpt:8085/” as “executorBaseUri”
    3. For Cherrybot: Use “CHERRYBOT” as “executorType” and “http://tapas-executor-cherrybot:8086/” as “executorBaseUri”
    4. For Mirocard: Use “MIROCARD” as “executorType” and “http://tapas-executor-chatgpt:8087/” as “executorBaseUri
    5. For MasonsManifesto: Use "MASON" as executorType and "http://tapas-executor-masonsmanifesto:8088/” as "executorBaseUri"
  3. Send a POST request to the tapas-tasks micro-service with your input (more detailed information on how to do that in the README)
    1. For the Calculator: You can set simple mathematical operations as task input (e.g., “5+5”)
    2. For the ChatGPT: You can set simple coding questions as task input (e.g., “What is ChaosMonkey?”)
    3. For the Cherrybot: You can set an action and payload based on the Thing Description as task input (e.g., “"{"action": "initialize","payload": {}}”)
    4. For the Mirocard: You can set the sensor data as task input (e.g., “humidity”)
    5. For the Masons Manifesto: No inputData needed
    6. For an external executor: You need to set an executorType and task input that aligns with the external executor. Make sure that both auction houses communicate over the same protocol (either WebSub or MQTT).

Once the POST request has been sent to tapas-tasks micro-service, the requests gets sent to the the roster. The roster automatically (1) assigns the task to an existing executor and (2) sends the task location to the respective executor. The executor retrieves the task input, executes the task and sends the updates to the task list. In case the roster cannot find an executor that is able to execute the task, the task is sent from the roster to the auction house where the task is auctioned off to other auction houses that can bid on the auction. The task is sent to the external auction house with the winning bid, where the task is assigned and executed by the external executor. The external executor then updates the task in the task list.

The task output can be retrieved by sending a GET request to the task location (i.e., the task URI).

Project Structure

This project is structured as follows:

How to Add a New Service with Spring Boot

Create a new Spring Boot project

  • Recommended: use Spring Initialzr (Maven, Spring Boot 2.7.14, Jar, Java 17, dependencies as needed)
  • Set the Spring application properties for your service (e.g., port of the web server) in src/resources/application.properties

Update the Docker Compose file

Your TAPAS application is a multi-container Docker application ran with Docker Compose. To add your newly created service to the Docker Compose configuration file, you need to create a new service definition in docker-compose.yml:

  • copy and edit the tapas-tasks service definition from lines 44-57
  • change command (see line 46 to use the name of the JAR file generated by Maven for your service
    • note: if you change the version of your service, you need to update this line to reflect the change
  • update the Traefik label names to reflect the name of your new service (see line 52)
    • e.g., change traefik.http.routers.tapas-tasks.rule to traefik.http.routers.<new-service-name>.rule
  • update the Traefik rule (see line 53) with the name of your new service: Host(`<new-service-name>.${PUB_IP}.asse.scs.unisg.ch`)
  • update the Traefik port (see line 54) with the port configured for your new service

Update the local Docker Compose file

In the local docker compose file you need to copy and adjust lines 18-28.

Update the GitHub Actions Workflow

This project uses GitHub Actions to build and deploy your TAPAS application whenever a new commit is pushed on the main branch. You can add your new service to the GitHub Actions workflow defined in .github/workflows/build-and-deploy.yml:

  • copy and edit the definition for tapas-tasks from line 27-29
  • update the mvn command used to build your service to point to the pom.xml file of your new service (see line 28)
  • update the cp command to point to the JAR file of your new service directive (see line 29)
    • note you will need to update the complete file path (folder structure and JAR name)

How to Run the TAPAS Tasks Service Locally

You can run your micro-services on your local machine just like a regular Maven project:

  • Run from IntelliJ:
    • Reload pom.xml if necessary
    • Run the micro-service's main class from IntelliJ for all required projects
    • Adapt the run configuration for the main file to include the VM argument: -Dspring.profiles.active=local to let Spring Boot use the application-local.properties file (if available).
  • Use Maven to run from the command line:
mvn spring-boot:run -D"Spring-boot.run.profiles=local"
  • Run with local Docker:
docker compose -f docker-compose-local.yml up --build

How to Deploy on your VM

  1. Start your Ubuntu VM on Switch.
  2. Push new code to the main branch
    • Check the status of the workflow on the Actions page of the GitHub project
    • We recommend to test your project locally before pushing the code to GitHub.
  3. Open in your browser https://app.${PUB_IP}.asse.scs.unisg.ch

For the server IP address (see below), you should use dashes instead of dots, e.g.: 127.0.0.1 becomes 127-0-0-1.

VM Configurations

Specs (we can upgrade if needed):

  • 2 CPUs
  • 2 GB RAM
  • 40 GB HD
  • Ubuntu 22.04
Name Server IP
SCS-ASSE-VM-Group1 86.119.35.40
SCS-ASSE-VM-Group2 86.119.35.213
SCS-ASSE-VM-Group3 86.119.34.242
SCS-ASSE-VM-Group4 86.119.35.199
SCS-ASSE-VM-Group5 86.119.35.72
SCS-ASSE-VM-Group6 86.119.47.205
SCS-ASSE-VM-Group7 86.119.45.187
SCS-ASSE-VM-Group8 86.119.44.195

Architecture Decision Records

We recommend to use adr-tools to manage your ADRs here in this GitHub project in a dedicated folder. The tool works best on a Mac OS or Linux machine.

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