https://github.com/carlcolglazier/cheesecake

🧀🍰 Evidence-based FRC analytics.
https://github.com/carlcolglazier/cheesecake

first-robotics-competition frc frc-scouting sportsanalytics

Last synced: 2 months ago
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🧀🍰 Evidence-based FRC analytics.

• Host: GitHub
• URL: https://github.com/carlcolglazier/cheesecake
• Owner: CarlColglazier
• Created: 2018-08-14T18:14:49.000Z (over 6 years ago)
• Default Branch: v3
• Last Pushed: 2024-09-24T20:14:32.000Z (3 months ago)
• Last Synced: 2024-09-27T14:01:18.520Z (3 months ago)
• Topics: first-robotics-competition, frc, frc-scouting, sportsanalytics
• Language: Julia
• Homepage: https://cheesecake.live/
• Size: 5.87 MB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# Cheesecake

## Getting Started

To get started with the project, follow the instructions below to set up both the model and the frontend.

### Prerequisites

Ensure that you have the following software installed on your system:

1. [Julia](https://julialang.org/downloads/) (for the model)

2. [Node.js](https://nodejs.org/en/download/) (for the frontend)

3. [Yarn](https://yarnpkg.com/getting-started/install) (for the frontend)

### Model Setup

The `model` directory contains a Julia project for generating predictions using the Bayesian model. To set up and run the model, follow these steps:

1. Navigate to the `model` directory:

   ```bash

   cd model

   ```

2. Add your key from [The Blue Alliance](https://www.thebluealliance.com/apidocs).

   ```bash

   echo 'KEY=""' >> python/.env

   ```

3. Run the data fetching script.

   ```bash

   cd python && python 2023.py && cd ..

   ```

4. Start the Julia REPL:

   ```bash

   julia

   ```

5. Activate the DrWatson project environment and install the required dependencies:

   ```julia

   using DrWatson

   @quickactivate

   import Pkg; Pkg.instantiate()

   ```

6. Run the model:

   ```julia

   include("scripts/run_frc2023.jl")

   ```

### Frontend Setup

The `frontend` directory contains a React app for visualizing the predictions generated by the model. To set up and run the frontend, follow these steps:

1. Navigate to the `frontend` directory:

   ```bash

   cd frontend

   ```

2. Install the required dependencies using Yarn:

   ```bash

   yarn install

   ```

3. Start the development server:

   ```bash

   yarn run dev

   ```

The React app should now be running at \`http://localhost:3000\` in your web browser.