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runtm-worker

Build and deploy worker for Runtm. See the self-hosting docs for deployment setup.

Pipeline

  1. Unzip artifact from storage
  2. Validate manifest against schema
  3. Create Fly app and allocate IPs
  4. Run flyctl deploy (builds AND deploys in one step)
    • Auto-generates fly.toml with optimized health checks
    • Builds on Fly's remote builders (fast, no local Docker)
    • Deploys to Fly Machine with health check verification
  5. Save provider resource and verify health
  6. Update deployment status + URL in DB
  7. Persist logs

Local Build (Fallback)

  1. Unzip artifact from storage
  2. Validate manifest against schema
  3. Build Docker container locally with BuildKit
  4. Push to Fly.io registry
  5. Create/update Fly Machine via Machines API
  6. Poll for health check
  7. Update deployment status + URL in DB
  8. Persist logs

Development

# Install dependencies
pip install -e ".[dev]"

# Run worker
python -m runtm_worker.main

# Run tests
pytest

Environment Variables

Variable Description Default
DATABASE_URL PostgreSQL connection string Required
REDIS_URL Redis connection string Required
FLY_API_TOKEN Fly.io API token Required
ARTIFACT_STORAGE_PATH Local artifact storage path /artifacts
ARTIFACT_STORAGE_BACKEND Storage backend: local or s3 local
BUCKET_NAME S3/Tigris bucket name (when backend=s3) -
AWS_ENDPOINT_URL_S3 S3 endpoint URL (e.g. https://fly.storage.tigris.dev) -
USE_REMOTE_BUILDER Use Fly's remote builder (faster) true

Providers

The worker uses a provider interface to support multiple deployment backends:

  • FlyProvider - Fly.io Machines (default)
  • Future: Cloud Run, etc.

Note: When using the remote builder (default), most deployment is handled by flyctl deploy. The FlyProvider is still used for app creation, IP allocation, machine listing, health verification, and custom domain management.

Metadata

Release files for runtm-worker 0.2.162

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Source distribution for runtm-worker 0.2.162
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