Dorod-Sky/.github/workflows/ci.yml

name: Run tests and pre-commit

# Run this job on pushes to `main`, and for pull requests. If you don't specify
# `branches: [main], then this actions runs _twice_ on pull requests, which is
# annoying.
on:
  workflow_call:
  pull_request:
  push:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest

    # Service containers to run with `container-job`
    services:
      # Label used to access the service container
      postgres:
        # Docker Hub image
        image: postgres
        # Provide the password for postgres
        env:
          POSTGRES_USER: skyvern
          POSTGRES_DATABASE: skyvern
          POSTGRES_HOST_AUTH_METHOD: trust
        # Set health checks to wait until postgres has started
        options: >-
          --health-cmd pg_isready
          --health-interval 10s
          --health-timeout 5s
          --health-retries 5
        ports:
          # Maps tcp port 5432 on service container to the host
          - 5432:5432

    steps:
      - uses: actions/checkout@v3

      # If you wanted to use multiple Python versions, you'd have specify a matrix in the job and
      # reference the matrixe python version here.
      - uses: actions/setup-python@v4
        with:
          python-version: "3.11"

      # Cache the installation of Poetry itself, e.g. the next step. This prevents the workflow
      # from installing Poetry every time, which can be slow. Note the use of the Poetry version
      # number in the cache key, and the "-0" suffix: this allows you to invalidate the cache
      # manually if/when you want to upgrade Poetry, or if something goes wrong. This could be
      # mildly cleaner by using an environment variable, but I don't really care.
      - name: cache poetry install
        uses: actions/cache@v3
        with:
          path: ~/.local
          key: poetry-1.7.1

      # Install Poetry. You could do this manually, or there are several actions that do this.
      # `snok/install-poetry` seems to be minimal yet complete, and really just calls out to
      # Poetry's default install script, which feels correct. I pin the Poetry version here
      # because Poetry does occasionally change APIs between versions and I don't want my
      # actions to break if it does.
      #
      # The key configuration value here is `virtualenvs-in-project: true`: this creates the
      # venv as a `.venv` in your testing directory, which allows the next step to easily
      # cache it.
      - uses: snok/install-poetry@v1
        with:
          version: 1.7.1
          virtualenvs-create: true
          virtualenvs-in-project: true

      # Cache your dependencies (i.e. all the stuff in your `pyproject.toml`). Note the cache
      # key: if you're using multiple Python versions, or multiple OSes, you'd need to include
      # them in the cache key. I'm not, so it can be simple and just depend on the poetry.lock.
      - name: cache deps
        id: cache-deps
        uses: actions/cache@v3
        with:
          path: .venv
          key: pydeps-${{ hashFiles('**/poetry.lock') }}

      # Install dependencies. `--no-root` means "install all dependencies but not the project
      # itself", which is what you want to avoid caching _your_ code. The `if` statement
      # ensures this only runs on a cache miss.
      - run: poetry install --no-interaction --no-root
        if: steps.cache-deps.outputs.cache-hit != 'true'

      # Now install _your_ project. This isn't necessary for many types of projects -- particularly
      # things like Django apps don't need this. But it's a good idea since it fully-exercises the
      # pyproject.toml and makes that if you add things like console-scripts at some point that
      # they'll be installed and working.
      - run: poetry install --no-interaction

      # Finally, run pre-commit.
      - uses: pre-commit/action@v3.0.0
        env:
          ENABLE_OPENAI: "true"
          OPENAI_API_KEY: "sk-dummy"
          ENABLE_AZURE_GPT4O_MINI: "true"
          AZURE_GPT4O_MINI_DEPLOYMENT: "dummy"
          AZURE_GPT4O_MINI_API_KEY: "dummy"
          AZURE_GPT4O_MINI_API_BASE: "dummy"
          AZURE_GPT4O_MINI_API_VERSION: "dummy"
          AWS_REGION: "us-east-1"
          ENABLE_BEDROCK: "true"
  
  fe-lint-build:
    runs-on: ubuntu-latest
    defaults:
      run:
        working-directory: ./skyvern-frontend
    steps:
      - name: Check out Git repository
        uses: actions/checkout@v4

      - name: Set up Node.js
        uses: actions/setup-node@v4
        with:
          node-version: 20

      - name: Install Node.js dependencies
        run: npm ci

      - name: Run linter
        run: npm run lint
      
      - name: Run build
        run: npm run build