superset-showtime 0.2.7

🎪 Apache Superset ephemeral environment management with circus tent emoji state tracking

🎪 Superset Showtime

Modern ephemeral environment management for Apache Superset using circus tent emoji labels

🎯 What is Showtime?

Superset Showtime is a CLI tool designed primarily for GitHub Actions to manage Apache Superset ephemeral environments. It uses circus tent emoji labels as a visual state management system and depends on Superset's existing build infrastructure.

🚀 Quick Start for Superset Contributors

Create an ephemeral environment:

1. Go to your PR in GitHub
2. Add label: 🎪 ⚡ showtime-trigger-start
3. Watch the magic happen - labels will update automatically
4. When you see 🎪 🚦 {sha} running, your environment is ready!
5. Get URL from 🎪 🌐 {sha} {ip} → http://{ip}:8080
6. Every new commit automatically deploys a fresh environment (zero-downtime)

To test a specific commit without auto-updates:

• Add label: 🎪 🧊 showtime-freeze (prevents auto-sync on new commits)

Clean up when done:

# Add this label:
🎪 🛑 showtime-trigger-stop
# All circus labels disappear, AWS resources cleaned up

🎪 How It Works

🎪 GitHub labels become a visual state machine:

# User adds trigger label in GitHub UI:
🎪 ⚡ showtime-trigger-start

# System responds with state labels:
🎪 abc123f 🚦 building      # Environment abc123f is building
🎪 🎯 abc123f               # abc123f is the active environment
🎪 abc123f 📅 2024-01-15T14-30  # Created timestamp
🎪 abc123f ⌛ 24h           # Time-to-live policy
🎪 abc123f 🤡 maxime        # Requested by maxime (clown emoji!)

# When ready:
🎪 abc123f 🚦 running       # Environment is now running
🎪 abc123f 🌐 52-1-2-3      # Available at http://52.1.2.3:8080

📊 For Maintainers (CLI Operations)

Note: CLI is mainly for debugging or developing Showtime itself. Primary interface is GitHub labels above.

Install CLI for debugging:

pip install superset-showtime
export GITHUB_TOKEN=your_token

Monitor and debug:

showtime list                    # See all active environments
showtime status 1234            # Debug specific environment
showtime labels                 # Complete label reference

Testing/development:

showtime start 1234 --dry-run-aws      # Test without AWS costs
showtime test-lifecycle 1234           # Full workflow simulation

Dependency: This CLI coordinates with Superset's existing GitHub Actions build infrastructure. It orchestrates environments but relies on Superset's build workflows for container creation.

🎪 Complete Label Reference

🎯 Trigger Labels (Add These to Your PR)

Label	Action	Result
🎪 ⚡ showtime-trigger-start	Create environment	Builds and deploys ephemeral environment with blue-green deployment
🎪 🛑 showtime-trigger-stop	Destroy environment	Cleans up AWS resources and removes all labels
🎪 🧊 showtime-freeze	Freeze environment	Prevents auto-sync on new commits (for testing specific SHAs)

📊 State Labels (Automatically Managed)

Label Pattern	Meaning	Example
🎪 {sha} 🚦 {status}	Environment status	🎪 abc123f 🚦 running
🎪 🎯 {sha}	Active environment pointer	🎪 🎯 abc123f
🎪 🏗️ {sha}	Building environment pointer	🎪 🏗️ def456a
🎪 {sha} 📅 {timestamp}	Creation time	🎪 abc123f 📅 2024-01-15T14-30
🎪 {sha} 🌐 {ip:port}	Environment URL	🎪 abc123f 🌐 52.1.2.3:8080
🎪 {sha} ⌛ {ttl}	Time-to-live policy	🎪 abc123f ⌛ 24h
🎪 {sha} 🤡 {username}	Who requested	🎪 abc123f 🤡 maxime

🔧 Testing Configuration Changes

Approach: Modify configuration directly in your PR code, then trigger environment.

Workflow:

1. Modify superset_config.py with your changes
2. Push commit → Creates new SHA (e.g., def456a)
3. Add 🎪 ⚡ showtime-trigger-start → Deploys with your config
4. Test environment reflects your exact code changes

This approach creates traceable, reviewable changes that are part of your git history.

🔄 Complete Workflows

Creating Your First Environment

1. Add trigger label in GitHub UI: 🎪 ⚡ showtime-trigger-start
2. Watch state labels appear:

   🎪 abc123f 🚦 building      ← Environment is building
   🎪 🎯 abc123f               ← This is the active environment
   🎪 abc123f 📅 2024-01-15T14-30  ← Started building at this time
   

3. Wait for completion:

   🎪 abc123f 🚦 running       ← Now ready!
   🎪 abc123f 🌐 52.1.2.3:8080  ← Visit http://52.1.2.3:8080
   

Testing Specific Commits

1. Add freeze label: 🎪 🧊 showtime-freeze
2. Result: Environment won't auto-update on new commits
3. Use case: Test specific SHA while continuing development
4. Override: Add 🎪 ⚡ showtime-trigger-start to force update despite freeze

Rolling Updates (Automatic!)

When you push new commits, Showtime automatically:

1. Detects new commit via GitHub webhook
2. Builds new environment alongside old one
3. Switches traffic when new environment is ready
4. Cleans up old environment

You'll see:

# During update:
🎪 abc123f 🚦 running       # Old environment still serving
🎪 def456a 🚦 building      # New environment building
🎪 🎯 abc123f               # Traffic still on old
🎪 🏗️ def456a               # New one being prepared

# After update:
🎪 def456a 🚦 running       # New environment live
🎪 🎯 def456a               # Traffic switched
🎪 def456a 🌐 52-4-5-6      # New IP address
# All abc123f labels removed automatically

🔒 Security & Permissions

Who Can Use This?

• ✅ Superset maintainers (with write access) can add trigger labels
• ❌ External contributors cannot trigger environments (no write access to add labels)
• 🔒 Secure by design - only trusted users can create expensive AWS resources

GitHub Actions Integration

Showtime is designed to be called by Superset's GitHub Actions workflows:

# .github/workflows/showtime.yml - Integrates with Superset's existing build workflows
on:
  pull_request_target:
    types: [labeled, unlabeled, synchronize]

jobs:
  showtime-handler:
    if: contains(github.event.label.name, '🎪')
    steps:
      - name: Install Showtime from PyPI
        run: pip install superset-showtime

      - name: Process circus triggers
        run: python -m showtime handle-trigger ${{ github.event.pull_request.number }}

Integration approach:

• Coordinates with Superset builds - Uses existing container build workflows
• Runs trusted code (from PyPI, not PR code)
• Simple orchestration logic (install CLI and run commands)
• Leverages existing infrastructure - Same AWS resources and permissions

🛠️ Installation & Setup

For Contributors (GitHub Labels Only)

No installation needed! Just use GitHub labels to trigger environments.

For Maintainers (Manual CLI Operations)

Install CLI for debugging/testing:

pip install superset-showtime
export GITHUB_TOKEN=your_personal_access_token

Manual operations:

showtime list                    # Monitor all active environments
showtime status 1234            # Debug specific environment
showtime labels                 # Reference complete label system

For Repository Integration (GitHub Actions)

1. Install GitHub workflows: Copy workflows-reference/showtime-trigger.yml and workflows-reference/showtime-cleanup.yml to Superset's .github/workflows/.

2. Configure secrets (already exist in Superset):

• AWS_ACCESS_KEY_ID
• AWS_SECRET_ACCESS_KEY
• GITHUB_TOKEN

3. Dependencies: Showtime coordinates with Superset's existing build infrastructure - no additional setup needed.

📊 CLI Reference (For Development/Debugging)

Primary Interface: Use GitHub labels in PR interface. CLI is mainly for maintainers debugging or developing Showtime itself.

Debugging Commands

showtime list                         # Monitor all environments
showtime status 1234                  # Debug specific environment
showtime labels                       # Complete label reference
showtime test-lifecycle 1234          # Full workflow simulation

Manual Operations (Advanced)

showtime start 1234                    # Manually create environment
showtime start 1234 --sha abc123f     # Create environment (specific SHA)
showtime stop 1234                    # Manually delete environment
showtime sync 1234                    # Force sync to desired state
showtime cleanup --respect-ttl        # Manual cleanup

GitHub Actions Commands

showtime handle-trigger 1234          # Process trigger labels (called by GHA)
showtime cleanup --older-than 48h     # Scheduled cleanup (called by GHA)

🎪 Benefits for Superset

For Contributors

• 🎯 Simple workflow - Just add/remove GitHub labels
• 👀 Visual feedback - See environment status in PR labels
• ⚡ Automatic updates - New commits update environments automatically
• 🔧 Configuration testing - Test config changes through code commits

For Maintainers

• 📊 Complete visibility - showtime list shows all environments
• 🧹 Easy cleanup - Automatic expired environment cleanup
• 🔍 Better debugging - Clear state in labels, comprehensive CLI
• 💰 Cost savings - No duplicate environments, proper cleanup

For Operations

• 📝 Simpler workflows - Replace complex GHA scripts with simple CLI calls
• 🔒 Same security model - No new permissions needed
• 🎯 Deterministic - Predictable AWS resource naming
• 🚨 Monitoring ready - 48h maximum lifetime, scheduled cleanup

🏗️ Architecture

State Management

All state lives in GitHub labels - no external databases needed:

• Trigger labels (🎪 trigger-*) - Commands that get processed and removed
• State labels (🎪 🚦 *) - Current environment status, managed by CLI

AWS Resources

Deterministic naming enables reliable cleanup:

• ECS Service: pr-{pr_number}-{sha} (e.g., pr-1234-abc123f)
• ECR Image: pr-{pr_number}-{sha}-ci (e.g., pr-1234-abc123f-ci)

Rolling Updates

Zero-downtime updates by running multiple environments:

1. Keep old environment serving traffic
2. Build new environment in parallel
3. Switch traffic when new environment is healthy
4. Clean up old environment

🤝 Contributing

Testing Your Changes

Test with real PRs safely:

# Test label management without AWS costs:
showtime start YOUR_PR_NUMBER --dry-run-aws --aws-sleep 10

# Test full lifecycle:
showtime test-lifecycle YOUR_PR_NUMBER --real-github

Development Setup

git clone https://github.com/mistercrunch/superset-showtime
cd superset-showtime

# Using uv (recommended):
uv pip install -e ".[dev]"
make pre-commit
make test

# Traditional pip:
pip install -e ".[dev]"
pre-commit install
pytest

📄 License

Apache License 2.0 - same as Apache Superset.

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🎪 "Ladies and gentlemen, welcome to Superset Showtime - where ephemeral environments are always under the big top!" 🎪🤡✨