Seminar Project of the Seminar "Advanced Techniques for Analysis and Visualization of Software Data" of CGS, HPI and DEF in the Summer Term 2022

This project contains:

• a dockerized github action to calculate typescript software metrics per commit and store them as a .csv file directly to the git repository under the custom ref refs/metrics.
• a React frontend to visualize the calculated metrics in a treemap.
• an embedding script to integrate the viewer into an existing webpage.

⚠️ Please note that this is a research prototype and not meant for use in production as of now.

Create a new GitHub Actions workflow in your project, e.g. at .github/workflows/analytics-embedding.yml. The content of the file should be in the following format:

name: Analytics Treemap Embedding

on:
  # Trigger the workflow on push or pull request,
  # but only for the main branch
  push:
    branches:
      - main
      
  pull_request:
    branches:
      - main

jobs:
  analytics-embedding:
    name: Run Analytics Treemap Embedding 🔎
    runs-on: ubuntu-latest

    steps:
      - name: Check out Git repository
        uses: actions/checkout@v3

      - name: Run Analytics Treemap Embedding Action 🚀
        uses: hpicgs/github-software-analytics-embedding@v0
        with:
          # Optional, use if you want to analyse a specific folder
          repository_path: ./
          # Optional to enable benchmarking
          benchmark: true

Install pnpm:

npm i pnpm -g

To setup the Frontend for development run:

cd frontend
pnpm i
pnpm run dev

Navigate to localhost:3000 in the browser of your choice.

Create an .env file

cd analytics
cp .env.example .env

Make shure you fill in the GITHUB_TOKEN variable in the .env file

To setup the node application for code analysis for development run:

cd analytics
pnpm i
pnpm start

This repo uses the github git database API to store commit based software analytics data on a custom ref directly in the repository. This means the meta data will not be cloned if you run git pull normally.

docker build -t analytics . && docker run -it analytics