Grain Contracker

GrainContracker retrieves and stores grain pricing data from the main Australian grain companies, and present the pricing history to the user.

GrainContracker is a Web App built using the F# SAFE Stack, with Azure Functions running a CRON job to scrape internet data.

Starting the Web Application locally

1. Run dotnet tool restore to download paket and other related nuget tools. (You only need to do this once)

2. Run:

dotnet fake build -t run

Then open http://localhost:8080 in your browser.

To run concurrently server and client tests in watch mode (run in a new terminal):

dotnet fake build -t runtests

Client tests are available under http://localhost:8081 in your browser and server tests are running in watch mode in console.

Starting the Azure Functions locally

Prerequisites

• You must have Azure Functions Core Tools (v3) installed and set up.
• You should use the Azurite Azure Storage emulator. Personally, I am using the Azurite docker container and it seems to work without complaint (so far)

Method

1. Open the GrainContracker/src/PriceAutomata folder in VsCode.
2. Hit F5. The functions should all build and start without complaint.

Opening the entire GrainContracker folder won't let you run the Functions via debugger, you can basically treat the entire PriceAutomata folder as its own project - that just happens to pull in references from Shared.fsproj, and you can target with paket, which will restore any installed packages for you.

Deploying to Azure

Coming Soon!

Roadmap

• Build Scraper code using Azure Functions, to download the contract PDFs and store their contents.
• Build the User Application to display the captured data.
• Build a User Service to allow logins and storage of user's storage and sales history
• Build a phone app? (Stretch Goal)