1. Download Repository

Can be found here

2. Enter the Root Folder of the Project Directory

• Using Powershell or an IDE of your choice.

3. Start Data Collection, API server, and ML validation

Alpha Release (Development Mode)

• Run: python mp-build.py
  • May need to update/install dotnet and python (refer to part 3.5 then return to part 3)
  • Creates and starts the data collection task
  • Sets up a local HTTP server to request “good times” to update
  • Creates and starts the validation task and associated sub tasks
  • Gives very meaningful error messages/logs in case the application does not run as expected.

Beta Release (Production Mode)

• Run: start ./production-install.exe
  • Creates and starts the data collection task
  • Sets up a local HTTP server to request “good times” to update
    • Sets up a task to restart the server on login (Server does not persist after a shutdown)
  • Creates and starts the validation task and associated sub tasks
  • Will ask for administrator priviledges.

3.5. Install Required Dependencies (If Needed)

• Run: python –version (Should be Python 3.12+; Else upgrade)
• Run: winget install Microsoft.DotNet.SDK.8
• Run: curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py | python get-pip.py

4. Utilize HTTP Requests to Recieve "Good Times"

• Refer to the demo for example requests and how to interpret responses

[OPTIONAL] Uninstall MicroPoly

• Run: python mp-uninstall.py
  • Will remove all created tasks, whether you chose to run the dev or production release.
  • Can choose to remove all required python libraries installed at build time
  • Can choose to remove all data created at runtime (In out folder)
• On completion, can delete the root folder to fully uninstall

If any issues are found, report them here