Skip to main content

CLI toolkit for detecting and applying Prefect deployment changes in CI/CD pipelines

Project description

Prefect Deployments Toolkit

A lightweight CLI toolkit for managing Prefect deployment lifecycles in CI/CD pipelines. It detects deployments that were added, modified, or removed between two git references, and applies (creates, updates, or deletes) those deployments against Prefect Cloud or a self-hosted Prefect server — via either the Prefect CLI or direct REST API calls.

Built for teams running many Prefect flows out of a monorepo, where each deployment is defined in its own YAML file alongside a shared prefect_base.yaml, and CI needs to figure out which deployments actually changed before re-registering them.

Features

  • Change detection — diff deployments between two git refs (a merge request source vs. target branch, or HEAD~1 vs. HEAD after a merge) and get back exactly which deployments were added, modified, or removed.
  • Unified push / pull-request logic — one code path handles both pull_request (compare local files against a fetched base branch) and push/pull_request_target (compare HEAD~1 against HEAD) event styles.
  • Dual deploy backends — apply deployments using the prefect CLI as a subprocess, or bypass it entirely with direct Prefect Cloud REST API calls for faster, more controllable deploys.
  • Dev/prod environment overrides — automatic name prefixing, work pool substitution, and schedule pausing for dev environments.
  • Concurrent deployment application — apply multiple deployments in parallel with clean, non-interleaved log output per deployment.
  • Duplicate deployment name detection — warns (or optionally cleans up) when the same deployment name resolves to more than one flow.

Installation

pip install prefect-deployments-toolkit

Requires Python >= 3.10.

Usage

1. Detect modified deployments

python -m prefect_deployments_toolkit.get_modified_deployments \
  --modified-by push \
  --base-ref main \
  --deployments-dir deployments

Prints a comma-separated list of changed deployment names to stdout, and (if running inside GitHub Actions) writes DEPLOYMENT_NAMES, NEW_OR_MODIFIED_DEPLOYMENT_NAMES, and REMOVED_DEPLOYMENT_NAMES to GITHUB_ENV.

--modified-by accepts:

  • pull_request — compares your local working tree against the fetched base branch (use during an open MR/PR).
  • push or pull_request_target — compares HEAD~1 against HEAD (use after a merge to a protected branch).

2. Apply deployments

python -m prefect_deployments_toolkit \
  --deployment-names "flow_a,flow_b" \
  --enable-schedule false \
  --tag dev \
  --reference feature-branch-1 \
  --repo-name my-flows-repo \
  --custom-image "" \
  --deployments-dir deployments \
  --dev-work-pool my-dev-work-pool \
  --backend rest \
  --enforce-unique-deployment-names false

Expected Repository Layout

deployments/
├── prefect_base.yaml # shared config merged into every deployment
├── flow_a.yaml
├── flow_b.yaml
└── ...

Each deployment YAML file must declare a deployments: list with at least a name and entrypoint key, following the standard Prefect deployment YAML schema.

Backends

Backend How it works When to use
cli Shells out to prefect deploy Simplest, matches local prefect deploy behavior exactly
rest Talks directly to the Prefect Cloud REST API Faster for many concurrent deployments, avoids CLI subprocess overhead

Environment Variables

Variable Required Purpose
PREFECT_API_URL Yes Full Prefect Cloud/server API base URL
PREFECT_API_KEY Yes API key for authentication

License

Licensed under PolyForm Noncommercial 1.0.0. You may view, use, and modify this software for noncommercial purposes. Commercial use — including building products, services, or automation on top of it — requires a separate license. Contact [your contact info] for commercial licensing inquiries.

Contributing

Issues and pull requests are welcome for noncommercial use cases. Please open an issue before submitting a large PR to discuss scope.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

prefect_deployments_toolkit-0.0.1.tar.gz (21.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

prefect_deployments_toolkit-0.0.1-py3-none-any.whl (25.4 kB view details)

Uploaded Python 3

File details

Details for the file prefect_deployments_toolkit-0.0.1.tar.gz.

File metadata

File hashes

Hashes for prefect_deployments_toolkit-0.0.1.tar.gz
Algorithm Hash digest
SHA256 6ad95745177b06d6bfa86420704bee81d01bfcae3d5cc32b482181864cbffb00
MD5 a10dd14161f7f478461031e79bfb4c8e
BLAKE2b-256 ce80c262bf5a023f66129726a592b8937a8c6bd20b8c68e20e40b5e14b591c63

See more details on using hashes here.

Provenance

The following attestation bundles were made for prefect_deployments_toolkit-0.0.1.tar.gz:

Publisher: cd.yml on dyvenia/prefect-deployments-toolkit

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file prefect_deployments_toolkit-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for prefect_deployments_toolkit-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 492d76bfae47760e1c43f1ff10c032050b44dd8ab5e2a52cc25f322bda478fc9
MD5 19ec7dadecb3eff75e6f1b838b9d2425
BLAKE2b-256 91ea3db1ea7a3d560df371252e9269d921f798ac277246e7d4417d2b4235879a

See more details on using hashes here.

Provenance

The following attestation bundles were made for prefect_deployments_toolkit-0.0.1-py3-none-any.whl:

Publisher: cd.yml on dyvenia/prefect-deployments-toolkit

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page