The CI/CD workflow for the screenly/playground project is currently not set up. Below are recommended next steps to establish a CI/CD pipeline using common tools and practices.

Next Steps to Set Up CI/CD

1. Choose CI/CD Tools: Select CI/CD tools such as GitHub Actions, Travis CI, or Jenkins that are best suited for the needs of the project.

2. Configure CI/CD Environment: Set up the environment for the CI/CD pipeline including configuring server access, authentication, and environment variables.

3. Create a .github/workflows Directory: If using GitHub Actions, create a .github/workflows directory in the project root.

4. Set Up Build Configuration: Create a workflow file for building and deploying. Below is an example using GitHub Actions.

Example of a GitHub Actions Workflow

File: .github/workflows/main.yml

name: CI/CD Pipeline

on:
  push:
    branches:
      - main
  pull_request:
    branches:
      - main

jobs:
  build:
    runs-on: ubuntu-latest
    
    steps:
      - name: Checkout code
        uses: actions/checkout@v2
        
      - name: Set up Python
        uses: actions/setup-python@v2
        with:
          python-version: '3.8'
        
      - name: Install dependencies
        run: |
          pip install -r requirements.txt
        
      - name: Run application
        run: |
          python app.py

5. Include Docker Support: Given the existence of a Dockerfile, integrate Docker in the CI/CD pipeline. Example of building a Docker image:

  build_docker:
    runs-on: ubuntu-latest

    steps:
      - name: Checkout code
        uses: actions/checkout@v2
        
      - name: Build Docker image
        run: |
          docker build -t screenly/playground .

6. Deploy Stage: Configure deployment steps based on hosting environment. Example of a hypothetical deployment step:

  deploy:
    runs-on: ubuntu-latest
    needs: build

    steps:
      - name: Deploy to server
        run: |
          ssh user@your-server "docker run -d screenly/playground"

Conclusion

Establishing a CI/CD workflow necessitates defining the tools to be utilized, creating necessary scripts, and ensuring that deployment pipelines are efficient and secure. Integrate testing and validation stages as required to maintain code quality throughout the development lifecycle.

Source: Dockerfile present in the project.