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Container Unit Templates in Python — a deterministic framework for building container workloads

Project description

CUTIP

Python 3.11+ Pydantic v2 uv Runtime CI Docs

Container Unit Templates in Python — a deterministic framework for defining, validating, and orchestrating container environments using structured YAML artifacts and Python workflows.

CUTIP is not a replacement for docker-compose. It is designed for a different use case: environments where the startup sequence is imperative, not declarative.

docker-compose CUTIP
Startup ordering depends_on with condition polling Python loop — exec into container, branch on result
Post-start hooks None native startup(ctx) per unit — full podman-py API
Pre-build file staging None pre_build(ctx) — generate config, copy deps before build
Config variables .env flat substitution vars.yaml with required/generated sections + fail-fast validation
Validation Runtime only Static graph validation — no backend required
Orchestration logic Shell scripts outside compose First-class Python in workflow.py
Migration from compose cutip from-compose — convert any compose file to a CUTIP workspace

When to use each →


The Model

Container infrastructure is organized into four composable layers:

ImageCard   ─┐
NetworkCard ─┘──▶  ContainerCard  ──▶  Unit  ──▶  Group  ──▶  workflow.py
Layer What it represents
Card One atomic container resource (image, network, or container configuration)
Unit One running container instance — a ContainerCard reference
Group A collection of Units + a Python workflow.py — the executable artifact
Workflow A plain Python function main(ctx: CutipContext) — full control, no magic

Every artifact is a versioned YAML file. Every ref is validated before any backend is contacted.


Install

pip install cutip
cutip --help

Contributing? Clone the repo and use uv pip install -e . for an editable install — see the installation guide.

[!NOTE] cutip init, cutip from-compose, cutip tree, cutip validate, cutip show, and cutip plan run without any container runtime installed. Only cutip run requires Podman.


Quick Look

# cutip/cards/images/app.yaml
apiVersion: cutip/v1
kind: ImageCard
metadata:
  name: app
spec:
  source: build
  context: resources/buildtime
  dockerfile: resources/dockerfiles/app.dockerfile
  tag: latest
# cutip/cards/containers/app.yaml
apiVersion: cutip/v1
kind: ContainerCard
metadata:
  name: app
spec:
  imageRef:
    ref: images/app
  networkRef:
    ref: networks/dev
  environment:
    ENV: production
  workdir: /app
# cutip/groups/dev/workflow.py
def main(ctx):
    ctx.container("app").start()
cutip validate
cutip plan dev
cutip run dev

CLI

Command Description
cutip init [--path] Scaffold workspace directories and cutip.yaml
cutip from-compose <file> [--output-dir] Convert a docker-compose.yaml into a CUTIP workspace
cutip tree [--path] Print discovered cards, units, and groups
cutip validate [--path] Full schema + graph validation (no backend required)
cutip show card <ref> Dump a resolved card as YAML
cutip show unit <name> Show a unit's resolved card graph
cutip show group <name> Show a group's units and workflow status
cutip plan <group> [--path] Dry-run: print execution table, start nothing
cutip run <group> [--local] [--path] Validate → connect → execute workflow
cutip group ls List all groups in the workspace
cutip unit ls List all units in the workspace
cutip card ls List all cards in the workspace

cutip run connects to the Podman socket over SSH by default. Pass --local to use the local socket directly (useful in CI or rootless setups).


vars.yaml

Workspace variables are declared in cutip/vars.yaml with two sections:

required:
  ssh_private_key: ""   # must be filled in — cutip fails fast if empty

generated:
  data_dir: ".my-data"  # cutip creates this directory automatically

CUTIP validates all {{ vars.key }} references in cards before any container backend is contacted — missing or empty required values surface as a clear error, not a runtime failure.


Documentation

Full documentation at joshuajerome.github.io/cutip

Section Contents
Getting Started Installation, quickstart, workspace layout
Concepts The 4-layer model, cards, units, groups, graph resolution
Reference CLI flags, card schemas, workflow contract, exceptions
Guides Podman setup, writing workflows, CI/CD

License

MIT

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