dbml.yml

name: Create dbml from database

on:
  push:
    branches:
    - '*'
  workflow_dispatch:

jobs:
  update_dbdocs:
    name: Create trs.dbml
    runs-on: ubuntu-latest

    services:
      postgres:
        image: postgres:15
        env:
          POSTGRES_PASSWORD: trs
          POSTGRES_DB: trs
        options: >-
          --name postgres
          --health-cmd pg_isready
          --health-interval 10s
          --health-timeout 5s
          --health-retries 5
        ports:
          - 5432:5432

    steps:
      - uses: actions/checkout@v4

      - name: Set postgres wal_level to logical
        run: |
          docker exec -i postgres bash << EOF
            echo "wal_level = logical" >> /var/lib/postgresql/data/postgresql.conf
          EOF

          docker restart --time 0 postgres

      - uses: extractions/setup-just@v2

      - name: Install postgresql-client
        run: |
          sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list'
          wget -qO- https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo tee /etc/apt/trusted.gpg.d/pgdg.asc &>/dev/null
          sudo apt update
          sudo apt install postgresql-client-15 -y

      - name: Update DB schema
        run: dotnet run --project TeachingRecordSystem/src/TeachingRecordSystem.Cli -- migrate-db --connection-string "Host=localhost;Username=postgres;Password=trs;Database=trs"

      - name: Dump database
        run: |
          export PGHOST="localhost"
          export PGDATABASE="trs"
          export PGUSER="postgres"
          export PGPASSWORD="trs"

          psql -c '\dt' | sed '1,3d' | head -n -2 | sed 's/ //g' | cut -d'|' -f 2 | tr '\n' ' ' | xargs printf -- ' -t %s' | xargs pg_dump --schema-only >trs.dump

      - name: Create dbml file
        run: npx -p @dbml/cli sql2dbml trs.dump --postgres -o trs.dbml

      - name: Publish dbml file
        uses: actions/upload-artifact@v4
        with:
          name: trs.dbml
          path: trs.dbml
          if-no-files-found: error